Probabilistic Approach for Hosting High PV Penetration in Distribution Systems via Optimal Oversized Inverter With Watt-Var Functions
Open accessAbstract
Accommodating a high penetration of intermittent photovoltaic (PV) in distribution systems can potentially cause several operational problems, most importantly, voltage violations. An optimal probabilistic approach is proposed in this article to optimally host high penetrations of PV units considering their stochastic nature. A benefit of the proposed approach is that it provides wider planning options since it optimizes the interfacing inverter oversize with smart watt-var functionalities. These smart functionalities include: 1) active power curtailment and 2) inverter reactive power. The utilization of these functionalities in the optimization model yields an optimal PV hosting that maximizes the benefits to distribution systems. The optimal probabilistic model of PV incorporates the probabilities of the PV power output and load while optimizing the inverter oversize and the two functionalities simultaneously. The proposed approach complies with the recently released IEEE 1547:2018 standard which regulates the reactive power support via the interfacing PV inverters. The efficacy of the proposed approach is demonstrated by comparisons with existing approaches. The results confirm the superiority of the proposed approach to optimally accommodate high PV penetration at single or multiple locations while minimizing voltage violations. The proposed approach is also applied to maximize the hosting capacity of PV.
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The equality constraints for the ORPD problem are typical nonlinear power flow equations for three-phase unbalanced distribution networks.
“The equality constraints for the ORPD problem are typical nonlinear power flow equations for three-phase unbalanced DNs [22,23].”
From Dynamic Optimal Power Dispatch in Unbalanced Distribution Networks with Single-Phase Solar PV Units and BESS (2023) · cites this paper as [22]
Section III (Problem Formulation; page unavailable) describes distribution-system constraints using bus voltages, voltage-angle differences, conductance, susceptance, and active and reactive power. Section VI (Solution Process; page unavailable) says the optimization uses a nonlinear method. These passages support the power-flow aspect, but our copy does not establish that the stated constraints are for three-phase unbalanced networks; that phrase appears in the title of a different work in the References. (LLM, conf=0.78)
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Radosavljević, J., Ktena, A., Gajić, M., Milovanović, M., & Živić, J. (2023) · Energies · doi:10.3390/en16114356 · Cited by 10 · see citing works
- Authors
- Ali, A., Mahmoud, K., Raisz, D., & Lehtonen, M.
- Affiliations
- South Valley University (EG)
- Aswan University (EG)
- Aalto University (FI)
- Venue
- IEEE Systems Journal
- Published
- 2021-03
- Volume
- 15
- Issue
- 1
- Pages
- 684-693
- ISSN
- 1932-8184 (ISSN-L)
- 1937-9234
- 2373-7816
- OpenAlex
- W3017039169
- Cited by
- 50
- References
- 0
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 12 · 2023: 11 · 2022: 7 · 2021: 12 · 2020: 1
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- green
- research.aalto.fi
- Licence
- Locations
- IEEE Systems Journal (publishedVersion)
- Aaltodoc (Aalto University) (submittedVersion, other-oa)
- Funders
- Department of Electrical Engineering and Automation
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- photovoltaic hosting capacity, high PV penetration, distribution systems, reactive power support, active power curtailment, voltage violation, stochastic optimization, IEEE 1547
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