Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm
Microgrid is an effective way to integrate the distributed generations, and the optimal operation of microgrid has become one of the important topics in the research of microgrid. The optimal operation of microgrid is modelled with a consideration of multiple operation indicators such as the economi...
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| Format: | Article |
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State Grid Energy Research Institute
2020-05-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201811025 |
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| author | Shaoming ZHANG Siqing SHENG |
| author_facet | Shaoming ZHANG Siqing SHENG |
| author_sort | Shaoming ZHANG |
| collection | DOAJ |
| description | Microgrid is an effective way to integrate the distributed generations, and the optimal operation of microgrid has become one of the important topics in the research of microgrid. The optimal operation of microgrid is modelled with a consideration of multiple operation indicators such as the economic cost, environmental cost, network loss and node voltage fluctuation, and a balance of the interests of various stakeholders. The elite reverse learning strategy and the worst particle exclusion method are introduced into particle swarm optimization algorithm (Particle Swarm Optimization, PSO) to solve the multi-objective and multi-constraint optimal operation problems of microgrid. In the process of searching, chaotic disturbance is made on the existing optimal particle to enhance the local searching ability, and to improve the ability of particle to jump out of local optimal solution. Under same conditions, the optimal operation model of the microgrid is solved using the original algorithm and the improved algorithm respectively, and the superiority of the improved algorithm is verified by comparing the solution results. |
| format | Article |
| id | doaj-art-848586ace6794e65bd7656abff82bc9e |
| institution | OA Journals |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2020-05-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-848586ace6794e65bd7656abff82bc9e2025-08-20T02:04:51ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492020-05-01535243110.11930/j.issn.1004-9649.201811025zgdl-53-1-zhanshaomingOptimal Operation of Microgrid Based on Improved Particle Swarm Optimization AlgorithmShaoming ZHANG0Siqing SHENG1School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, ChinaMicrogrid is an effective way to integrate the distributed generations, and the optimal operation of microgrid has become one of the important topics in the research of microgrid. The optimal operation of microgrid is modelled with a consideration of multiple operation indicators such as the economic cost, environmental cost, network loss and node voltage fluctuation, and a balance of the interests of various stakeholders. The elite reverse learning strategy and the worst particle exclusion method are introduced into particle swarm optimization algorithm (Particle Swarm Optimization, PSO) to solve the multi-objective and multi-constraint optimal operation problems of microgrid. In the process of searching, chaotic disturbance is made on the existing optimal particle to enhance the local searching ability, and to improve the ability of particle to jump out of local optimal solution. Under same conditions, the optimal operation model of the microgrid is solved using the original algorithm and the improved algorithm respectively, and the superiority of the improved algorithm is verified by comparing the solution results.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201811025microgridoperation optimizationparticle swarm optimizationelite reverse learning strategythe worst particle exclusionchaotic disturbance |
| spellingShingle | Shaoming ZHANG Siqing SHENG Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm Zhongguo dianli microgrid operation optimization particle swarm optimization elite reverse learning strategy the worst particle exclusion chaotic disturbance |
| title | Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm |
| title_full | Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm |
| title_fullStr | Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm |
| title_full_unstemmed | Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm |
| title_short | Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm |
| title_sort | optimal operation of microgrid based on improved particle swarm optimization algorithm |
| topic | microgrid operation optimization particle swarm optimization elite reverse learning strategy the worst particle exclusion chaotic disturbance |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201811025 |
| work_keys_str_mv | AT shaomingzhang optimaloperationofmicrogridbasedonimprovedparticleswarmoptimizationalgorithm AT siqingsheng optimaloperationofmicrogridbasedonimprovedparticleswarmoptimizationalgorithm |