| 考虑相关性的微电网DG接入优化研究 |
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| 引用本文： | 曾品卓,李国杰,汪可友,江秀臣.考虑相关性的微电网DG接入优化研究[J].电气自动化,2015(4):57-60. |
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| 作者姓名： | 曾品卓 李国杰 汪可友 江秀臣 |
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| 作者单位： | 上海交通大学电气工程系电力传输与功率变换控制教育部重点实验室,上海 200240,上海交通大学电气工程系电力传输与功率变换控制教育部重点实验室,上海 200240,上海交通大学电气工程系电力传输与功率变换控制教育部重点实验室,上海 200240,上海交通大学电气工程系电力传输与功率变换控制教育部重点实验室,上海 200240 |
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| 基金项目： | 国家高技术研究发展计划863计划资助项目(2014AA050212),与国家国际科技合作专项项目(2013DFG71630) |
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| 摘 要： | 对微电网中的分布式电源(DG)接入进行优化配置可以大大地提高微电网运行的可靠性和经济性。在考虑DG接入的相关性以及负荷重要性的基础上,建立了以考虑DG接入相关性并以微电网运行经济性最优为目标函数的多目标分层优化模型,并采用改进的粒子群算法(IPSO)进行求解。将优化模型及IPSO算法应用于一28节点微电网网架中,通过不同优化方案的对比证明了微电网中对DG接入进行优化配置的重要性,同时表明IPSO算法对于求解此类问题的可行性和有效性。
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| 关 键 词： | 微电网 经济性 分布式电源 相关性 多目标优化 改进粒子群算法 |
| 修稿时间： | 2014/12/25 0:00:00 |
Research on Optimization of Micro-grid DG Access under Consideration of Relevance |
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| ZENG Pin-zhuo,LI Guo-jie,WANG Ke-you and JIANG Xiu-chen.Research on Optimization of Micro-grid DG Access under Consideration of Relevance[J].Electrical Automation,2015(4):57-60. |
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| Authors: | ZENG Pin-zhuo LI Guo-jie WANG Ke-you and JIANG Xiu-chen |
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| Affiliation: | Key Laboratory of Control of Power Transmission and Power Conversion Control, Ministry of Education in the Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,Key Laboratory of Control of Power Transmission and Power Conversion Control, Ministry of Education in the Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,Key Laboratory of Control of Power Transmission and Power Conversion Control, Ministry of Education in the Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China and Key Laboratory of Control of Power Transmission and Power Conversion Control, Ministry of Education in the Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China |
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| Abstract: | Optimal allocation of distributed generation (DG) in micro grids can significantly improve the stability and benefit the economy of micro grid operation. Under consideration of relevance of DG access and load importance, a multi-objective model is established under consideration of DG access relevance, taking optimized economy of micro grid operation as its objective function, and the improved particle swarm optimization (IPSO) is used for the solution. The optimized model and IPSO are applied to a 28-node micro-grid network structure. The comparison between different optimization schemes demonstrates the importance of optimal configuration of DG access in micro-grids. It is shown that the IPSO algorithm in this study is feasible and effective for solving such problems. |
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| Keywords: | micro-grid economy distributed generation relevance multi-objective optimization improved particle swarm optimization |
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