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A Stochastic Assessment of PV Hosting Capacity Enhancement in Distribution Network Utilizing Voltage Support Techniques
Open accessAbstract
The low voltage (LV) network's constraints are prone to violations with the introduction of distributed energy resources at the customer vicinity. This study assesses the technical aspects of the realistic Finnish distribution network with varying photovoltaic (PV) penetration and quantifies the hosting capacities (HCs) of different regions. Moreover, to maximize the network's HC, having the overvoltage issue, different voltage control strategies are employed comprising on-load tap changer (OLTC), reactive power control (RPC) of inverters, network reinforcement (NR), and hybrid approaches. HC relative to different country-specific over-voltage limits are defined and the best voltage control technique is assessed, utilizing the stochastic approach of Monte Carlo simulations to model the uncertainty in the LV network's probabilistic variables. Moreover, combined medium voltage (MV)/LV network simulations are conducted to compare with the LV only simulations results. Technically, NR is the best approach to maximize the HC of a particular region but economically it is not proven a feasible one. The results presented that the OLTC employment will maximize the PV penetration if the overvoltage limit derived from EN 50160 is implemented and doubles the HC in the stricter-voltage-limits' scenarios, which can be maximized by the RPC inclusion in cohesion with OLTC. Moreover, RPC only strategy can be employed in the cases of low PV penetration scenarios, when OLTC will be proven the more expensive option. As the voltage violation limit becomes stricter, the hybrid approach of OLTC and RPC will be the best strategy.
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Most stochastic HC studies typically include variables from both types of uncertainties without necessarily distinguishing between them.
“Most stochastic HC studies typically include variables from both types of uncertainties without necessarily making a distinction between the two types of uncertainties [95][96][97][98].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [95]
The Introduction (p. 2) describes a stochastic HC study that models solar irradiation, customer loading, and the probability of PV incorporation at a particular node, without distinguishing types of uncertainty. It therefore supports this paper as an example, but does not establish the claim that most stochastic HC studies follow that practice. (LLM, conf=0.82)
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Cited by
Sorted by citations
Review on the PV Hosting Capacity in Distribution Networks
Fatima, S., Püvi, V., & Lehtonen, M. (2020) · Energies · doi:10.3390/en13184756 · Cited by 137
Self-citationUmoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71
Metadata
- Authors
- Arshad, A., & Lehtonen, M.
- Affiliations
- Aalto University (FI)
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 46461-46471
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2932372722
- Cited by
- 66
- References
- 0
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 6 · 2023: 10 · 2022: 15 · 2021: 7 · 2020: 6
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- Aaltodoc (Aalto University) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Department of Electrical Engineering and Automation, Aalto University, Finland
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Thermal Analysis in Power Transmission
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- photovoltaic hosting capacity, distribution networks, low-voltage distribution networks, voltage control strategy, on-load tap changer, reactive power control, network reinforcement, photovoltaic penetration, Monte Carlo simulation, EN 50160, medium-voltage distribution networks
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