AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network
This study proposes the Adaptive Fuzzy Campus Placement-based Optimization Algorithm (AFCPOA) for optimal dispatch of Renewable Distributed Generators (RDGs) — Solar PV, Wind, and Hybrid (PV+Wind) in a Radial Distribution Network (RDN) considering dynamic hourly and seasonal load variations. AFCPOA...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-07-01
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| Series: | Next Energy |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949821X25001103 |
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| author | Sunil Ankeshwarapu |
| author_facet | Sunil Ankeshwarapu |
| author_sort | Sunil Ankeshwarapu |
| collection | DOAJ |
| description | This study proposes the Adaptive Fuzzy Campus Placement-based Optimization Algorithm (AFCPOA) for optimal dispatch of Renewable Distributed Generators (RDGs) — Solar PV, Wind, and Hybrid (PV+Wind) in a Radial Distribution Network (RDN) considering dynamic hourly and seasonal load variations. AFCPOA minimizes total power losses and enhances voltage stability using a Network Topology-based Load Flow approach. Its performance was evaluated on the IEEE 33-bus system and benchmarked against Hybrid Genetic Algorithm (GA)-Jaya, Jaya Algorithm, Shuffled Frog-Leaping Algorithm (SFLA), Particle Swarm Optimization (PSO), and GA. Results show that AFCPOA achieved a 42.6% reduction in total losses compared to the base case and outperformed other algorithms by 9–18% in loss reduction, with an average voltage profile improvement of 5.3%. These findings demonstrate AFCPOA’s superior ability to handle seasonal load variability and optimize RDG integration efficiently. |
| format | Article |
| id | doaj-art-ff1a3e8b6af94858b9c36ff32a8bcd85 |
| institution | Matheson Library |
| issn | 2949-821X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Next Energy |
| spelling | doaj-art-ff1a3e8b6af94858b9c36ff32a8bcd852025-06-28T05:31:49ZengElsevierNext Energy2949-821X2025-07-018100347AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution networkSunil Ankeshwarapu0Corresponding author.; Faculty in Electrical and Electronics Engineering Department, National Institute of Technology Goa, Cuncolim, South Goa, Goa State, IndiaThis study proposes the Adaptive Fuzzy Campus Placement-based Optimization Algorithm (AFCPOA) for optimal dispatch of Renewable Distributed Generators (RDGs) — Solar PV, Wind, and Hybrid (PV+Wind) in a Radial Distribution Network (RDN) considering dynamic hourly and seasonal load variations. AFCPOA minimizes total power losses and enhances voltage stability using a Network Topology-based Load Flow approach. Its performance was evaluated on the IEEE 33-bus system and benchmarked against Hybrid Genetic Algorithm (GA)-Jaya, Jaya Algorithm, Shuffled Frog-Leaping Algorithm (SFLA), Particle Swarm Optimization (PSO), and GA. Results show that AFCPOA achieved a 42.6% reduction in total losses compared to the base case and outperformed other algorithms by 9–18% in loss reduction, with an average voltage profile improvement of 5.3%. These findings demonstrate AFCPOA’s superior ability to handle seasonal load variability and optimize RDG integration efficiently.http://www.sciencedirect.com/science/article/pii/S2949821X25001103Renewable distributed generation (RDG)Adaptive fuzzy campus placement based optimization algorithm (AFCPOA)Particle swarm optimization (PSO)Shuffled frog leap algorithm (SFLA)Genetic algorithm (GA)Jaya algorithm (JA) |
| spellingShingle | Sunil Ankeshwarapu AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network Next Energy Renewable distributed generation (RDG) Adaptive fuzzy campus placement based optimization algorithm (AFCPOA) Particle swarm optimization (PSO) Shuffled frog leap algorithm (SFLA) Genetic algorithm (GA) Jaya algorithm (JA) |
| title | AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network |
| title_full | AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network |
| title_fullStr | AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network |
| title_full_unstemmed | AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network |
| title_short | AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network |
| title_sort | afcpoa based optimal dispatch of hybrid pv wind dgs for voltage stability and loss reduction in radial distribution network |
| topic | Renewable distributed generation (RDG) Adaptive fuzzy campus placement based optimization algorithm (AFCPOA) Particle swarm optimization (PSO) Shuffled frog leap algorithm (SFLA) Genetic algorithm (GA) Jaya algorithm (JA) |
| url | http://www.sciencedirect.com/science/article/pii/S2949821X25001103 |
| work_keys_str_mv | AT sunilankeshwarapu afcpoabasedoptimaldispatchofhybridpvwinddgsforvoltagestabilityandlossreductioninradialdistributionnetwork |