引用本文: | 任洪伟,韩丛英,裴玮,郭田德.基于多目标优化模型的分布式电源选址方案研究[J].电力系统保护与控制,2013,41(24):64-69.[点击复制] |
REN Hong-wei,HAN Cong-ying,PEI Wei,GUO Tian-de.Research on distributed generation locating based on multi-objective optimization model[J].Power System Protection and Control,2013,41(24):64-69[点击复制] |
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摘要: |
分布式电源接入配电网是智能电网的关键。分布式电源接入配电网的位置及所注入的容量会对电网的损耗和电压的稳定性产生影响。采用多目标优化模型研究分布式电源优化选址问题。在综合考虑电压稳定的两类指标以及电网损耗的基础上,建立了多目标的优化仿真模型。同时,利用多岛遗传算法进行全局寻优求解,提高了全局最优解的可能性。对于多目标优化的可行解,运用Pareto最优解分析理论,使模型更具有实际工程意义。最后,采用配电网的标准算例对模型及算法进行了验证。表明,该模型具有优异的优化效果,有助于工程的实际应用。 |
关键词: 分布式电源 有功网损 智能电网 多目标优化 多岛遗传算法 |
DOI:10.7667/j.issn.1674-3415.2013.24.010 |
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基金项目:国家自然科学基金资助项目(71271204,11101420,71171189);中国科学院知识创新工程资助项目(KGCX2-RW-329) |
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Research on distributed generation locating based on multi-objective optimization model |
REN Hong-wei1,HAN Cong-ying1,PEI Wei2,GUO Tian-de1 |
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Abstract: |
Distributed generation connected to the distribution network is the key to smart grid. The location of the distributed generation connected to distribution network and the injection capacity will impact power loss and voltage stability. This paper studies the distributed generation optimal location based on the multi-objective optimization model. Considering the two types of indexes for voltage stability and power loss, the multi-objective optimization and simulation model is established. At the same time, the multi-island genetic algorithm is used for global optimization, which increases the possibility of a global optimal solution. As for feasible solution for multi-objective optimization, the theory of Pareto optimal solution analysis is applied to make the model have more practical engineering significance. Finally, using the standard example of the distribution network, the model and algorithm are verified. The results show that the model has excellent optimization effect and is helpful to the practical application of engineering. |
Key words: distributed generation active loss smart grid multi-object optimization multi-island genetic algorithm |