Comparison of Economical and Technical Photovoltaic Hosting Capacity Limits in Distribution Networks
Open accessAbstract
Power distribution networks are transitioning from passive towards active networks considering the incorporation of distributed generation. Traditional energy networks require possible system upgrades due to the exponential growth of non-conventional energy resources. Thus, the cost concerns of the electric utilities regarding financial models of renewable energy sources (RES) call for the cost and benefit analysis of the networks prone to unprecedented RES integration. This paper provides an evaluation of photovoltaic (PV) hosting capacity (HC) subject to economical constraint by a probabilistic analysis based on Monte Carlo (MC) simulations to consider the stochastic nature of loads. The losses carry significance in terms of cost parameters, and this article focuses on HC investigation in terms of losses and their associated cost. The network losses followed a U-shaped trajectory with increasing PV penetration in the distribution network. In the investigated case networks, increased PV penetration reduced network costs up to around 40%, defined as a ratio to the feeding secondary transformer rating. Above 40%, the losses started to increase again and at 76–87% level, the network costs were the same as in the base cases of no PVs. This point was defined as the economical PV HC of the network. In the case of networks, this level of PV penetration did not yet lead to violations of network technical limits.
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PVHC is extremely variable and depends not only on the aforementioned factors but also on the definitions and limiting factors.
“These extensive reviews concluded that PVHC is extremely variable and depends not only on the aforementioned factors but also on the definitions and limiting factors.”
From Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network (2022) · cites this paper as [62]
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- Authors
- Fatima, S., Püvi, V., Arshad, A., Pourakbari-Kasmaei, M., & Lehtonen, M.
- Affiliations
- Aalto University (FI)
- Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (PK)
- Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland
- Corresponding author
- Fatima, Samar
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2021-04-23
- Volume
- 14
- Issue
- 9
- Pages
- 2405
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W3159561257
- Cited by
- 24
- References
- 37
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 4 · 2023: 7 · 2022: 3 · 2021: 3
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Energies (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Aaltodoc (Aalto University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- SolarX, Business Finland (211763)
- 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 › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
- Keywords
- photovoltaic hosting capacity, distribution networks, photovoltaic penetration, network losses, active distribution networks, distributed generation, renewable energy integration, network cost, stochastic loads, Monte Carlo simulation
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