Voltage Optimization in Active Distribution Networks—Utilizing Analytical and Computational Approaches in High Renewable Energy Penetration Environments
This review paper synthesizes the recent advancements in voltage regulation techniques for active distribution networks (ADNs), particularly in contexts with high renewable energy source (RES) penetration, using photovoltaics (PVs) as a highlighted example. It covers a comprehensive analysis of vari...
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| Vydáno v: | Energies (Basel) Ročník 17; číslo 5; s. 1216 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Basel
MDPI AG
01.03.2024
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| ISSN: | 1996-1073, 1996-1073 |
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| Abstract | This review paper synthesizes the recent advancements in voltage regulation techniques for active distribution networks (ADNs), particularly in contexts with high renewable energy source (RES) penetration, using photovoltaics (PVs) as a highlighted example. It covers a comprehensive analysis of various innovative strategies and optimization algorithms aimed at mitigating voltage fluctuations, optimizing network performance, and integrating smart technologies like smart inverters and energy storage systems (ESSs). The review highlights key developments in decentralized control algorithms, multi-objective optimization techniques, and the integration of advanced technologies such as soft open points (SOPs) to enhance grid stability and efficiency. The paper categorizes these strategies into two main types: analytical methods and computational methods. In conclusion, this review underscores the critical need for advanced analytical and computational methods in the voltage regulation of ADNs with high renewable energy penetration levels, highlighting the potential for significant improvements in grid stability and efficiency. |
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| AbstractList | This review paper synthesizes the recent advancements in voltage regulation techniques for active distribution networks (ADNs), particularly in contexts with high renewable energy source (RES) penetration, using photovoltaics (PVs) as a highlighted example. It covers a comprehensive analysis of various innovative strategies and optimization algorithms aimed at mitigating voltage fluctuations, optimizing network performance, and integrating smart technologies like smart inverters and energy storage systems (ESSs). The review highlights key developments in decentralized control algorithms, multi-objective optimization techniques, and the integration of advanced technologies such as soft open points (SOPs) to enhance grid stability and efficiency. The paper categorizes these strategies into two main types: analytical methods and computational methods. In conclusion, this review underscores the critical need for advanced analytical and computational methods in the voltage regulation of ADNs with high renewable energy penetration levels, highlighting the potential for significant improvements in grid stability and efficiency. |
| Audience | Academic |
| Author | Yang, Jin Alshehri, Mohammed |
| Author_xml | – sequence: 1 givenname: Mohammed surname: Alshehri fullname: Alshehri, Mohammed – sequence: 2 givenname: Jin orcidid: 0000-0002-1026-8495 surname: Yang fullname: Yang, Jin |
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| CitedBy_id | crossref_primary_10_3390_pr13082423 crossref_primary_10_1016_j_egyr_2024_11_014 crossref_primary_10_1016_j_rineng_2024_102741 crossref_primary_10_1016_j_epsr_2025_111895 crossref_primary_10_1155_2024_9752955 crossref_primary_10_3390_en17143583 crossref_primary_10_1038_s41598_025_00328_4 |
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| SubjectTerms | active distribution network (ADN) Algorithms alternating direction method of multipliers (ADMM) Alternative energy sources Analysis battery energy storage system (BESS) Control algorithms Efficiency Energy management systems Energy resources genetic algorithms (GAs) Keywords Laws, regulations and rules Linear programming Literature reviews Mathematical optimization Methods Optimization techniques particle swarm optimization (PSO) Privacy Renewable resources Simulation soft open point (SOP) Systems stability |
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| Title | Voltage Optimization in Active Distribution Networks—Utilizing Analytical and Computational Approaches in High Renewable Energy Penetration Environments |
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