Cited by 26Optimal Power Flow DistributionElectric Power System OptimizationMicrogrid Control and Optimization

Voltage Optimization in PV-Rich Distribution Networks—A Review

Open access
Dubravac, Marina, Fekete, Krešimir, Topić, Danijel, Barukčić, Marinko·2022·Applied Sciences

Abstract

There is a rising trend to integrate different types of distributed generation (DG), especially photovoltaic (PV) systems, on the roofs of existing consumers, who then become prosumers. One of the prosumer impacts is voltage violations, which conventional strategies find hard to solve. However, some prosumers, such as those with PV with inverters in their configurations, can actively participate in voltage optimization. To help find the optimal PV inverter setting with the objective of voltage optimization, an optimal power flow (OPF) can be a promising and reliable tool. This paper tries to shed light on the complex problem of voltage optimization in distribution networks (DNs) with PV prosumers. Relevant scientific papers are analyzed and optimization characteristics such as objective functions, variables, and constraints are summarized. Special attention is given to the systematization and classification of papers according to the mathematical formulation of the optimization problem (linear, nonlinear, integer, etc.) and the applied solving methods. Both analytical and computational intelligence optimization methods as well as their advantages and limitations are considered. Papers are also categorized according to the distribution network model used for testing the developed solutions.

AI snapshot

Written from the paper’s full text.

TL;DR

This review systematizes optimal power flow (OPF) approaches for voltage optimization in PV-rich distribution networks where PV inverter reactive power is a control variable. It classifies objectives, variables, mathematical formulations, solution methods, and test networks, and illustrates the voltage problem with a low-voltage case study.

Key findings

  • Multi-objective OPF formulations prevail; voltage deviation (VD) minimization appears in almost all reviewed objectives and is most often combined with loss minimization, with active power curtailment (APC) minimization also frequently combined with VD minimization.
  • Besides PV inverter reactive power, common optimization variables include PV active power, OLTC, capacitor banks, static compensators, substation reactive power, voltage regulators, ESS charge/discharge rate, and EV active power.
  • The original voltage optimization problem is nonlinear due to the quadratic VD objective and nonlinear power flow equations; discrete variables such as OLTC tap settings lead some authors to mixed-integer nonlinear formulations. Analytical methods prevail for single-objective problems, while computational intelligence methods are most used for multi-objective problems; GA and PSO are the most commonly used computational intelligence methods.
  • In the case study, without voltage control (unit power factor), feeder voltages ranged from 1.005 p.u. to 1.05 p.u.; with volt-VAR control, voltages were in the narrower range of 0.992 p.u. to 1.005 p.u.

Methods

  • Literature review: papers were searched in IEEE Xplore, ScienceDirect, and MDPI and included if at least one objective was voltage optimization and one optimization variable was PV inverter reactive power injection.
  • The review categorizes papers by objective functions, variables, mathematical formulation (linear, nonlinear, integer, etc.), analytical vs. computational intelligence solution methods, and distribution network test models.
  • Case study: a low-voltage DN model with three radial feeders supplied by a 10/0.4 kV substation, each feeder supplying 20 residential consumers; half of consumers have 5 kW PV systems. Simulations used DIgSILENT PowerFactory with conventional power flow, comparing fixed power factor mode and volt-VAR control mode under maximum production and 0.2 kW consumption with inductive power factor 0.9.

Limitations

  • Stated: the paper deals only with PV prosumers that have reactive power capability; other prosumer types are not considered.
  • Stated: further research is needed on probabilistic OPF formulations for voltage optimization, and replication of transmission-level probabilistic OPF solutions in distribution networks or microgrids is not straightforward.
  • Evident: the case study is an illustrative low-voltage network with specific assumptions (three feeders, 20 consumers per feeder, half with 5 kW PV, 0.2 kW consumption, PF 0.9), so its quantitative voltage ranges are not a general result; the review also relies on a selected set of databases and inclusion criteria.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.3390/app122312426

Cites

107 of 108 references verified0 citation errors · 1 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 39 cited sources checked · 0 supported · 0 flagged

  • Findingreasoning

    Computational intelligence methods are most used for multi-objective problems.

    “Computational intelligence methods are most used for multi-objective problems.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The selected bibliographic databases, IEEE Xplore, ScienceDirect, and MDPI, cover the relevant scientific literature on optimal power flow for voltage optimization in photovoltaic-rich distribution networks.
  • Findingreasoning

    The most commonly used objectives in the reviewed optimal power flow problems are loss minimization together with voltage deviation minimization.

    “DSO tries to reach the optimal operation point regarding several objectives and the most commonly used ones are loss minimization together with voltage deviation minimization.”
    Quote in the paperNot a substantial claim
  • Findingown data

    In the case study, there is an increase in the voltage profile at unit power factor.

    “There is an increase in the voltage profile at the unit power factor.”
    Quote in the paperNot a substantial claim
  • Findingreasoning

    Most papers in which analytical methods are used transform the original nonlinear programming or mixed-integer nonlinear programming problem into more convenient forms, usually quadratic programming or mixed-integer quadratic programming.

    “Since there are a few effective analytical algorithms for solving nonlinear problems (especially with integer variables), most of the papers in which analytical methods are used transform the original NLP (or MINLP) into some of the more convenient forms-usually QP or MIQP.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The selected bibliographic databases, IEEE Xplore, ScienceDirect, and MDPI, cover the relevant scientific literature on optimal power flow for voltage optimization in photovoltaic-rich distribution networks.
  • Findingcitation

    In recent years, computational intelligence methods are used in co-simulation with proven power flow tools DIgSILENT PowerFactory, DLF, and OpenDSS.

    “In recent years, computational intelligence methods are used in co-simulation with proven power flow tools DIgSILENT PowerFactory [41], DLF [75], OpenDSS”
    Quote in the paperNot a substantial claim0 of 2 sources checked
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      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [75]

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  • Classified as probably not a substantial claim. 30
  • May combine two claims. 30
  • The quote only partly states this claim. 1
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingnone given

    To solve such complex optimization problems, some authors use analytical methods and some use computational ones.

    “To solve such complex optimization problems, some authors use analytical methods and some use computational ones.”
    Quote in the paperNot a substantial claim
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    Findingnone given

    Almost all IEEE test network models have radial topology.

    “Almost all have radial topology.”
    Quote in the paperNot a substantial claim
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    Findingnone given

    The standard test model [70] is modified according to balance.

    “For instance, the standard test model [70] is modified according to balance.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [70]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Findingreasoning

    Transformations into a linear form such as linear programming or mixed-integer linear programming are very rare due to the quadratic function of voltage deviation and poor performance of DC power flows in distribution networks, where the R/X ratio is not as small as in transmission networks.

    “Transformations into a linear form (LP or MILP) are very rare due to the nature of the problem, i.e., the quadratic function of voltage deviation and poor performance of DC power flows in the environment of the DN (ratio R/X is not as small as in the TN).”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The R/X ratio is high in distribution networks and low in transmission networks.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingcitation

    Besides AC power flow, the reviewed authors use two other formulation approaches: decoupled AC power flow and DC power flow.

    “Besides AC power flow, the authors use two other formulation approaches: decoupled AC power flow [49] and DC power flow [50].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [49]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [50]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • The quote only partly states this claim.

    Findingcitation

    The most commonly used computational intelligence methods are genetic algorithms and particle swarm optimization.

    “The most commonly used methods are GA [37,57,62,83] and PSO [64,82,85,88].”
    Quote in the paperNot a substantial claim0 of 8 sources checked
    • cites [37]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [57]

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    • cites [62]

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    • cites [83]

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    • cites [64]

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    • cites [82]

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    • cites [85]

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    • cites [88]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • Rests on an assumption: The selected bibliographic databases, IEEE Xplore, ScienceDirect, and MDPI, cover the relevant scientific literature on optimal power flow for voltage optimization in photovoltaic-rich distribution networks.
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingcitation

    The most commonly used analytical methods for linear optimal power flow are simplex methods, sequential linear programming, and interior point methods.

    “The most commonly used analytical methods for linear OPF are the well-developed simplex methods [93], sequential linear programming (SLP) [94], and interior point methods (IPMs) [95].”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [93]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [94]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [95]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • Rests on an assumption: The selected bibliographic databases, IEEE Xplore, ScienceDirect, and MDPI, cover the relevant scientific literature on optimal power flow for voltage optimization in photovoltaic-rich distribution networks.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    The most common test network models used in literature are IEEE test network models, including IEEE-13, IEEE-15, IEEE-33, IEEE-34, IEEE-37, IEEE-69, IEEE-123, and IEEE-8500 bus models.

    “The most common test network models used in literature represent IEEE test network models which, depending on the number of buses, can be IEEE-13 bus, IEEE-15 bus, IEEE-33 bus, IEEE-34 bus, IEEE-37 bus, IEEE-69 bus, IEEE-123 bus, and IEEE-8500 bus.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    Some authors modify standard test models according to the processed problem.

    “According to the processed problem, some authors modify standard test models.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Findingnone given

    Unbalanced networks are mostly low voltage and belong to real-life models.

    “Unbalanced networks are mostly low voltage and belong to real-life models.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    A decision about which solution method would be used depends on the objective and mathematical formulation.

    “According to Figure 10, a decision about which solution method would be used depends on the objective and mathematical formulation.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The selected bibliographic databases, IEEE Xplore, ScienceDirect, and MDPI, cover the relevant scientific literature on optimal power flow for voltage optimization in photovoltaic-rich distribution networks.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingcitation

    The authors in [72] reduce an unbalanced system to a balanced assuming that voltage magnitudes between phases are analogous and phase angles on nodes are not drastic.

    “For instance, the authors in [72] reduce an unbalanced system to a balanced assuming that voltage magnitudes between phases are analogous and phase angles on nodes are not drastic.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [72]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Findingown data

    In volt-VAR control mode, the voltage values are lower than at unit power factor and are in the narrower range of 0.992 p.u. to 1.005 p.u.

    “In the volt-VAR control mode, the voltage values are lower than the unit power factor and are in the narrower range of 0.992 p.u. to 1.005 p.u.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingreasoning

    According to the reviewed literature, more authors utilize standard test network models IEEE-33 bus, IEEE-69 bus, and IEEE-123 bus node due to their flexibility and robustness.

    “According to the reviewed literature, more authors utilize standard test network models IEEE-33 bus, IEEE-69 bus, and IEEE-123 bus node due to their flexibility and robustness.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    Besides photovoltaic inverter reactive power, other optimization variables include photovoltaic active power, on-load tap changer, capacitor bank, static compensator, reactive power from the substation, voltage regulators, charge/discharge rate of energy storage systems, electric vehicle active power, and shunt capacitor.

    “Besides PV inverter reactive power, other variables include: (i) PV active power, (ii) OLTC, (iii) CB, (iv) static compensator, (v) reactive power from the substation, (vi) VRs, (vii) charge/discharge rate of ESS, (viii) EV active power, and (ix) SC.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The selected bibliographic databases, IEEE Xplore, ScienceDirect, and MDPI, cover the relevant scientific literature on optimal power flow for voltage optimization in photovoltaic-rich distribution networks.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    Real-life-based test network models represent urban residential feeders located in the US, China, Italy, Egypt, Australia, Ireland, and the UK.

    “Real-life-based models represent urban residential feeders located in the US, China, Italy, Egypt, Australia, Ireland, and the UK.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingcitation

    In some papers, hybrid methods are applied.

    “In some papers, hybrid methods are applied.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    The voltage optimization problem is mostly described as the objective of voltage deviation minimization, that is, maintaining voltages within boundaries determined by grid codes.

    “Furthermore, the voltage optimization problem is mostly described as the objective of voltage deviation (VD) minimization, i.e., maintaining voltages within boundaries determined by grid codes.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingcitation

    Other computational intelligence methods that appear in the literature are the sine-cosine algorithm, feasibility pump method, sparrow search algorithm, pattern search algorithm, and grey wolf optimization.

    “Other computational intelligence methods that appear in the literature are the sine-cosine algorithm (SCA) [66], feasibility pump (FP) method [67], sparrow search algorithm (SSA) [74], pattern search algorithm [80], and grey wolf optimization (GWO) [81].”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [66]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [67]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [74]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • Rests on an assumption: The selected bibliographic databases, IEEE Xplore, ScienceDirect, and MDPI, cover the relevant scientific literature on optimal power flow for voltage optimization in photovoltaic-rich distribution networks.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingcitation

    Recently, computational intelligence methods have been applied to solving optimal power flow problems.

    “Recently, computational intelligence methods have been applied to solving OPF problems.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The selected bibliographic databases, IEEE Xplore, ScienceDirect, and MDPI, cover the relevant scientific literature on optimal power flow for voltage optimization in photovoltaic-rich distribution networks.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingreasoning

    Some authors propose a mixed-integer nonlinear formulation due to integer variables such as the OLTC tap setting.

    “Additionally, some authors propose a mixed-integer nonlinear formulation due to integer variables such as the OLTC tap setting.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    Other objectives are rare and are used only in a few papers.

    “Other objectives are rare and they are used only in a few papers.”
    • Also stated in: § 5. Conclusions · plain
      “Other objectives are rare and they are used only in a few papers.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    DSO tries to reach the optimal operation point regarding several objectives, and the most commonly used ones are loss minimization together with voltage deviation minimization.

    “DSO tries to reach the optimal operation point regarding several objectives and the most commonly used ones are loss minimization together with voltage deviation minimization.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    One trend in applying computational intelligence methods is using well-known power flow calculation tools to feed the computational intelligence method with multiple power flow solutions.

    “One of the trends in applying computational intelligence methods is using well-known power flow calculation tools in order to feed the computational intelligence method with multiple power flow solutions.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In multi-objective problems, VD is most combined with losses, but many other objectives also appear.

    “In multi-objective problems, VD is most combined with losses, however, many other objectives also appear.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationnone given

    Computational intelligence methods can solve complex optimization problems without transformation of the original formulation, but they require higher computational performance and more computational time.

    “On the other hand, computational intelligence methods can solve complex optimization problems without the transformation of the original formulation but they required higher computational performance as well as more computational time.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    To apply an analytical method, the original problem must be transformed to a level it can solve.

    “To apply the analytical method, it is necessary to perform a transformation of the original problem to a level that it can solve.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisereasoning

    The linear programming formulation uses the DC power flow approach, so both the objectives and the constraints are linear.

    “The LP formulation uses the DC power flow approach, i.e., both the objectives and the constraints are linear.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Some optimization variables are continuous and some are discrete, such as on-load tap changer tap settings, which affects the formulation of the optimal power flow problem and largely the choice of solution method.

    “Some of the variables are continuous but some are discrete (such as OLTC tap settings), which will affect the formulation of the OPF problem (the appearance of integer variables) and largely the choice of the solution method.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationnone given

    If multiple local optima exist, global optima cannot be guaranteed and the analytical method can get stuck in local optima.

    “If multiple local optima exist, global optima cannot be guaranteed and the analytical method can stuck in local optima.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Analytical methods can straightforwardly find an optimal solution, but there is no guarantee that the optimum is global.

    “Analytical methods are able to straightforwardly find an optimal solution but there is no guarantee that the optimum is global.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Computational intelligence methods have been developed to overcome the weak capabilities of analytical methods for solving global optimization.

    “Computational intelligence methods have been developed to overcome the weak capabilities of analytical methods for solving global optimization [102].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [102]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    The imbalance in distribution networks is because the distribution network supplies unequal single-phase loads and contains unequal conductor interspace of three-phase segments.

    “The reason for the imbalance is that the DN supplies unequal single-phase loads and contains unequal conductor interspace of threephase segments [49,50].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [49]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [50]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationreasoning

    Due to modeling assumptions, linear programming is not adequate for problems such as minimizing power losses, and a global optimum cannot be guaranteed.

    “However, due to the modeling assumptions, LP is not adequate for problems such as minimizing power losses, and a global optimum cannot be guaranteed.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Distributed generation can both cause voltage violation in distribution networks and help solve voltage violation by managing active or reactive power, especially through reactive power management.

    “While DG can cause voltage violation in the DN, the same DG can help solve the problem of voltage violation, for example by managing active or reactive power.This problem/solution principle is especially interesting in the case of reactive power management [7].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [7]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The optimal power flow concept was proposed in the early 1960s as an enhancement of economic dispatch to find the optimal solution for controlling variable settings under different constraints.

    “The OPF concept was proposed in the early 1960s [43] as an enhancement of economic dispatch to find the optimal solution for controlling variable settings under different constraints.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [43]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Photovoltaic systems are the main representative of renewable energy sources in distribution networks.

    “When it comes to RESs in DNs, the main representative is a photovoltaic (PV) system [8,9].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [8]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [9]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    One possible problem that can appear is the OPF application for unbalanced DNs.

    “One possible problem that can appear is the OPF application for unbalanced DNs.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Voltage rise is a major issue caused by prosumers and impacts distribution networks.

    “A voltage rise is addressed as a major issue caused by prosumers and impacts DNs [2].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [2]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationown data

    The volt-VAR control mode voltage values are more acceptable for distribution network operation because voltage deviation is smaller.

    “These values are more acceptable for the operation of DN, i.e., voltage deviation is smaller.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationnone given

    Compared to analytical methods, computational intelligence methods require hard computational effort and there is no guarantee of finding an optimal solution, so some expert knowledge of the system is needed.

    “Compared to analytical methods, a hard computational effort is required and there is no guarantee of finding an optimal solution thus some expert knowledge of the system is needed.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationcitation

    Therefore, an unbalance between phases is low, and almost balanced.

    “Therefore, an unbalance between phases is low, and almost balanced.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Voltage control mechanisms that were once applicable in passive distribution networks become less valid, and new mechanisms are required.

    “However, voltage control mechanisms that were once applicable in passive DNs become less valid and new mechanisms are required [4][5][6].”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [4]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [5]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [6]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    Analytical methods are well-developed and applicable in systems where the requirements of modeling accuracy are low.

    “Analytical methods are well-developed and applicable in systems where the requirements of modeling accuracy are low.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationnone given

    When analytical methods are used, the compromise regarding the transformation of the original problem into a standard one is present, but the analytical approach enables the straightforward method to find the optimum of a well-defined optimization problem, although special attention is required to determine whether a calculated optimum is local or global.

    “When analytical methods are used, the compromise regarding the transformation of the original problem into a standard one is present but the analytical approach enables the straightforward method to find the optimum of a well-defined optimization problem (although special attention is required in order to determine whether a calculated optimum is local or global).”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    Determining the optimal operating point of photovoltaic inverters imposes using optimization algorithms, with optimal power flow as a logical solution.

    “Determining the optimal operating point of the PV inverters imposes using optimization algorithms from which the OPF are imposed as a logical solution.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    Inclusion of discrete variables in nonlinear programming results in mixed-integer nonlinear programming being the most realistic and accurate optimal power flow formulation, but also the most complex and difficult to solve.

    “The inclusion of discrete variables (transformer tap settings, shunt capacitor settings, etc.) in NLP results in MINLP being the most realistic and accurate formulation of OPF, but also the most complex and difficult to solve.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Unlike transmission networks, distribution networks are inherently unbalanced and more complex.

    “Unlike TNs, DNs are inherently unbalanced and more complex [48].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [48]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim.

    Premisecitation

    The distribution system operator is responsible for maintaining voltage within allowable limits for secure operation of distribution networks.

    “The distribution system operator (DSO) is responsible for maintaining voltage within the allowable limits for the secure operation of DNs [3].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [3]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisenone given

    Analytical methods require that a multi-objective problem transforms or scalarizes into a single-objective using weighting coefficients, which is not a straightforward procedure.

    “Analytical methods require that a multi-objective (usually known as Pareto optimization) problem transforms (scalarizes) into a single-objective using weighting coefficients, which is not a straightforward procedure.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationnone given

    Some probabilistic OPF solutions are already created for the transmission system environment, but their replication in the distribution network (or microgrid) is not straightforward.

    “Some probabilistic OPF solutions are already created for the transmission system environment but their replication in the distribution network (or microgrid) is not straightforward.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Some optimization variables are continuous but some are discrete (such as OLTC tap settings), which will affect the formulation of the OPF problem (the appearance of integer variables) and largely the choice of the solution method.

    “Some of the variables are continuous but some are discrete (such as OLTC tap settings), which will affect the formulation of the OPF problem (the appearance of integer variables) and largely the choice of the solution method.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationreasoning

    If OPF is regarded as part of the distribution energy management system (DEMS), the dominance of the multi-objective formulation of OPFs is logical.

    “If OPF is regarded as a part of the distribution energy management system (DEMS), the dominance of the multi-objective formulation of OPFs is logical.”
    Quote in the paperNot a substantial claim
53 of 53
  • The paper relies on this without support.

    The case study low-voltage distribution network with half of residential consumers having 5 kW photovoltaic systems and specified load conditions is representative enough to support general conclusions about voltage control in photovoltaic prosumer-rich distribution networks.

    “To provide a better insight into the voltage problem in DN caused by PVs, a case study is carried out.”
    “It is assumed that half of the residential consumers have PV systems on their rooftops.”
  • The paper relies on this without support.

    The selected bibliographic databases, IEEE Xplore, ScienceDirect, and MDPI, cover the relevant scientific literature on optimal power flow for voltage optimization in photovoltaic-rich distribution networks.

    “Therefore, the authors searched several bibliographical databases-IEEE Xplore, ScienceDirect, and MDPI.”
  • The paper relies on this without support.

    The R/X ratio is high in distribution networks and low in transmission networks.

    “The R/X ratio is high in DNs and contributes to the complexity of control and optimization.In contrast, the R/X ratio is low for TNs.”
  • The paper relies on this without support.

    More and more inverter-based sources are installed in distribution networks worldwide.

    “The research potential of the reviewed field lies in the fact that more and more inverterbased sources are installed in distribution networks worldwide.”
4 of 4

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Directive cited as 2016 is dated 2019

    Minor

    The text attributes the active-consumer definition to a 2016 directive cited as [28], while reference [28] identifies a 2019 directive.

  • Reference [71] gives conflicting conference years

    Minor

    The reference names a 2021 conference but says it took place in September 2020.

  • Reference [57] gives conflicting conference years

    Minor

    The reference names the 2018 symposium but dates its proceedings to September 2017.

3 of 3

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Kjaer, S.B., Lazar, R.D., Constantin, A., Ballegaard, H.P., Yang, G., Østergaard, J., Ipsen, H.H., and Frederiksen, K.H.B. (October, January 30). Voltage control in low voltage networks by photovoltaic inverters—PVNET.DK. Proceedings of the 28th European Photovoltaic Solar Energy Conference and Exhibition (28th EU PVSEC), Villepinte, France.
  2. Graditi, G., and Di Somma, M. (2021). Chapter 6—Fostering DER integration in the electricity markets. Distributed Energy Resources in Local Integrated Energy Systems, Elsevier.
  3. Carpentier, 1962, Contribuition to the economic dispatch problem, Bull. Soc. Fr. Des Electr., 8, 431

Cited by

Sorted by citations

Authors
Dubravac, M., Fekete, K., Topić, D., & Barukčić, M.
Affiliations
University of Osijek (HR)
Corresponding author
Fekete, Krešimir
Venue
Applied Sciences
Publisher
MDPI AG
Published
2022-12-05
Volume
12
Issue
23
Pages
12426
ISSN
2076-3417 (ISSN-L)
OpenAlex
W4311521003
Cited by
26
References
104
Citations by year
2026: 7 · 2025: 5 · 2024: 9 · 2023: 5
FWCI
1.27
Type
journal article
Language
en
Open access
Locations
  • Applied Sciences (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Croatian Science Foundation (UIP-2020-02-5796)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
  • Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
Keywords
voltage optimization, distribution networks, distributed generation, voltage violation, optimal power flow, distribution network modeling

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-28.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-28.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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