引用本文: | 栗 然,马慧卓,祝晋尧,王义贺,胡 博.分布式电源接入配电网多目标优化规划[J].电力自动化设备,2014,34(1): |
| LI Ran,MA Huizhuo,ZHU Jinyao,WANG Yihe,HU Bo.Multi-objective optimization for DG integration into distribution system[J].Electric Power Automation Equipment,2014,34(1): |
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摘要: |
建立分布式电源(DG)选址优化多目标计算模型,从投资费用、网损、电压指标3个主要角度独立分析DG接入配电网的优化计算问题。提出基于熵和距离的多目标粒子群(DEMPSO)算法和模糊多权重(FMW)技术,通过DEMPSO 算法找到DG接入配电网的多个可行方案,通过FMW决策确定最优方案,基于此进行DG优化选址与定容。算例验证了所提模型与方法的有效性和合理性。 |
关键词: 分布式电源 配电网 规划 多目标 优化 选址 费用 网损 电压指标 |
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Multi-objective optimization for DG integration into distribution system |
LI Ran1, MA Huizhuo2, ZHU Jinyao1, WANG Yihe1, HU Bo3
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1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University,Baoding 071003,China;2.State Grid Hebei Electric Power Research Institute,Shijiazhuang 050021,China;3.College of Control & Computer Engineering,North China Electric Power University,Beijing 102206,China
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Abstract: |
A multi-objective optimization model is built for DG(Distributed Generation) disposal. The integration of DG into power distribution system is analyzed in three aspects:investment,net loss and voltage index. The DEMPSO(Distance-Entropy-based Multi-objective Particle Swarm Optimization) algorithm based on entropy and distance and FMW(Fuzzy Multi-Weights) technology are proposed,a set of feasible solutions of DG integrated into distribution system are obtained by DEMPSO algorithm,and the optimal one is determined by FMW technology,based on which,the optimal capacity and location of DG are determined. Case study verifies the effectiveness and rationality of the proposed model and method. |
Key words: distributed power generation distribution system planning multi-objective optimization disposal costs net loss voltage index |