Effective method for optimal allocation of distributed generation units in meshed electric power systems
Improper placement of distributed generation (DG) units in power systems would not only lead to an increased power loss, but could also jeopardise the system operation. To avert these scenarios and tackle this optimisation problem, this study proposes an effective method to guide electric utility di...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IET
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23067/ http://psasir.upm.edu.my/id/eprint/23067/1/Effective%20method%20for%20optimal%20allocation%20of%20distributed%20generation%20units%20in%20meshed%20electric%20power%20systems.pdf |
| _version_ | 1848844655050883072 |
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| author | Akorede, Mudathir Funsho Hizam, Hashim Aris, Ishak Ab Kadir, Mohd Zainal Abidin |
| author_facet | Akorede, Mudathir Funsho Hizam, Hashim Aris, Ishak Ab Kadir, Mohd Zainal Abidin |
| author_sort | Akorede, Mudathir Funsho |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Improper placement of distributed generation (DG) units in power systems would not only lead to an increased power loss, but could also jeopardise the system operation. To avert these scenarios and tackle this optimisation problem, this study proposes an effective method to guide electric utility distribution companies (DISCOs) in determining the optimal size and best locations of DG sources on their power systems. The approach, taking into account the system constraints, maximises the system loading margin as well as the profit of the DISCO over the planning period. These objective functions are fuzzified into a single multi-objective function, and subsequently solved using genetic algorithm (GA). In the GA, a fuzzy controller is used to dynamically adjust the crossover and mutation rates to maintain the proper population diversity (PD) during GA's operation. This effectively overcomes the premature convergence problem of the simple genetic algorithm (SGA). The results obtained on IEEE 6-bus and 30-bus test systems with the proposed method are evaluated with the simulation results of the classical grid search algorithm, which confirm its robustness and accuracy. This study also demonstrates DG's economic viability relative to upgrading substation and feeder facilities, when the incremental cost of serving additional load is considered. |
| first_indexed | 2025-11-15T08:34:22Z |
| format | Article |
| id | upm-23067 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:34:22Z |
| publishDate | 2011 |
| publisher | IET |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-230672019-11-20T08:25:56Z http://psasir.upm.edu.my/id/eprint/23067/ Effective method for optimal allocation of distributed generation units in meshed electric power systems Akorede, Mudathir Funsho Hizam, Hashim Aris, Ishak Ab Kadir, Mohd Zainal Abidin Improper placement of distributed generation (DG) units in power systems would not only lead to an increased power loss, but could also jeopardise the system operation. To avert these scenarios and tackle this optimisation problem, this study proposes an effective method to guide electric utility distribution companies (DISCOs) in determining the optimal size and best locations of DG sources on their power systems. The approach, taking into account the system constraints, maximises the system loading margin as well as the profit of the DISCO over the planning period. These objective functions are fuzzified into a single multi-objective function, and subsequently solved using genetic algorithm (GA). In the GA, a fuzzy controller is used to dynamically adjust the crossover and mutation rates to maintain the proper population diversity (PD) during GA's operation. This effectively overcomes the premature convergence problem of the simple genetic algorithm (SGA). The results obtained on IEEE 6-bus and 30-bus test systems with the proposed method are evaluated with the simulation results of the classical grid search algorithm, which confirm its robustness and accuracy. This study also demonstrates DG's economic viability relative to upgrading substation and feeder facilities, when the incremental cost of serving additional load is considered. IET 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23067/1/Effective%20method%20for%20optimal%20allocation%20of%20distributed%20generation%20units%20in%20meshed%20electric%20power%20systems.pdf Akorede, Mudathir Funsho and Hizam, Hashim and Aris, Ishak and Ab Kadir, Mohd Zainal Abidin (2011) Effective method for optimal allocation of distributed generation units in meshed electric power systems. IET Generation, Transmission & Distribution, 5 (2). pp. 276-287. ISSN 1751-8687; ESSN: 1751-8695 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5702383&tag=1 10.1049/iet-gtd.2010.0199 |
| spellingShingle | Akorede, Mudathir Funsho Hizam, Hashim Aris, Ishak Ab Kadir, Mohd Zainal Abidin Effective method for optimal allocation of distributed generation units in meshed electric power systems |
| title | Effective method for optimal allocation of distributed generation units in meshed electric power systems |
| title_full | Effective method for optimal allocation of distributed generation units in meshed electric power systems |
| title_fullStr | Effective method for optimal allocation of distributed generation units in meshed electric power systems |
| title_full_unstemmed | Effective method for optimal allocation of distributed generation units in meshed electric power systems |
| title_short | Effective method for optimal allocation of distributed generation units in meshed electric power systems |
| title_sort | effective method for optimal allocation of distributed generation units in meshed electric power systems |
| url | http://psasir.upm.edu.my/id/eprint/23067/ http://psasir.upm.edu.my/id/eprint/23067/ http://psasir.upm.edu.my/id/eprint/23067/ http://psasir.upm.edu.my/id/eprint/23067/1/Effective%20method%20for%20optimal%20allocation%20of%20distributed%20generation%20units%20in%20meshed%20electric%20power%20systems.pdf |