Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers
Optimal power flow (OPF) is one of the complex problems in power system operation that includes multi-modal, large-scale, non-convex and non-linear constrained optimization problems. Due to these features, solving the OPF problem is becoming an active topic to be solved by power engineers and resear...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
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Springer Science and Business Media Deutschland GmbH
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/33825/ http://umpir.ump.edu.my/id/eprint/33825/1/Optimal%20power%20flow%20incorporating%20stochastic%20wind%20and%20solar%20.pdf http://umpir.ump.edu.my/id/eprint/33825/2/Optimal%20power%20flow%20incorporating%20stochastic%20wind%20and%20solar_FULL.pdf |
| _version_ | 1848824355019030528 |
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| author | Mohd Herwan, Sulaiman Zuriani, Mustaffa |
| author_facet | Mohd Herwan, Sulaiman Zuriani, Mustaffa |
| author_sort | Mohd Herwan, Sulaiman |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Optimal power flow (OPF) is one of the complex problems in power system operation that includes multi-modal, large-scale, non-convex and non-linear constrained optimization problems. Due to these features, solving the OPF problem is becoming an active topic to be solved by power engineers and researchers. In this paper, recent metaheuristic algorithms namely Grasshopper Optimization Algorithm (GOA), Black Widow Optimization Algorithm, Grey Wolves Optimizer, Ant Lion Optimizer, Particles Swarm Optimization, Gravitational Search Algorithm, Moth-Flame Optimization and Barnacles Mating Optimizer (BMO) will be used to solve three objective functions of OPF problem viz. (1) cost minimization of the power generation that consists of thermal, stochastic wind and solar power generations, (2) power loss minimization, and (3) combined cost and emission minimization of power generations. To assess the performance of these selected metaheuristic algorithms on OPF, a modified IEEE 30-bus system that incorporate the stochastic wind and solar power generators will be used. Statistical studies are performed to identify the effectiveness of algorithms under consideration. Test results suggest that BMO performs better compared to the rest of algorithms and demonstrate that it can be effective alternative for the OPF problem solution. |
| first_indexed | 2025-11-15T03:11:42Z |
| format | Article |
| id | ump-33825 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:11:42Z |
| publishDate | 2021 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-338252022-08-03T03:09:22Z http://umpir.ump.edu.my/id/eprint/33825/ Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers Mohd Herwan, Sulaiman Zuriani, Mustaffa TK Electrical engineering. Electronics Nuclear engineering Optimal power flow (OPF) is one of the complex problems in power system operation that includes multi-modal, large-scale, non-convex and non-linear constrained optimization problems. Due to these features, solving the OPF problem is becoming an active topic to be solved by power engineers and researchers. In this paper, recent metaheuristic algorithms namely Grasshopper Optimization Algorithm (GOA), Black Widow Optimization Algorithm, Grey Wolves Optimizer, Ant Lion Optimizer, Particles Swarm Optimization, Gravitational Search Algorithm, Moth-Flame Optimization and Barnacles Mating Optimizer (BMO) will be used to solve three objective functions of OPF problem viz. (1) cost minimization of the power generation that consists of thermal, stochastic wind and solar power generations, (2) power loss minimization, and (3) combined cost and emission minimization of power generations. To assess the performance of these selected metaheuristic algorithms on OPF, a modified IEEE 30-bus system that incorporate the stochastic wind and solar power generators will be used. Statistical studies are performed to identify the effectiveness of algorithms under consideration. Test results suggest that BMO performs better compared to the rest of algorithms and demonstrate that it can be effective alternative for the OPF problem solution. Springer Science and Business Media Deutschland GmbH 2021 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33825/1/Optimal%20power%20flow%20incorporating%20stochastic%20wind%20and%20solar%20.pdf pdf en http://umpir.ump.edu.my/id/eprint/33825/2/Optimal%20power%20flow%20incorporating%20stochastic%20wind%20and%20solar_FULL.pdf Mohd Herwan, Sulaiman and Zuriani, Mustaffa (2021) Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers. Microsystem Technologies, 27 (9). 3263 -3277. ISSN 0946-7076. (Published) https://doi.org/10.1007/s00542-020-05046-7 https://doi.org/10.1007/s00542-020-05046-7 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Herwan, Sulaiman Zuriani, Mustaffa Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers |
| title | Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers |
| title_full | Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers |
| title_fullStr | Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers |
| title_full_unstemmed | Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers |
| title_short | Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers |
| title_sort | optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/33825/ http://umpir.ump.edu.my/id/eprint/33825/ http://umpir.ump.edu.my/id/eprint/33825/ http://umpir.ump.edu.my/id/eprint/33825/1/Optimal%20power%20flow%20incorporating%20stochastic%20wind%20and%20solar%20.pdf http://umpir.ump.edu.my/id/eprint/33825/2/Optimal%20power%20flow%20incorporating%20stochastic%20wind%20and%20solar_FULL.pdf |