引用本文: | 丁阳,汪沨,宾峰,周武.基于博弈论的多目标配电网重构[J].电力自动化设备,2019,39(2): |
| DING Yang,WANG Feng,BIN Feng,ZHOU Wu.Multi-objective distribution network reconfiguration based on game theory[J].Electric Power Automation Equipment,2019,39(2): |
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摘要: |
提出了一种基于博弈论的多目标配电网重构模型,该模型充分考虑了风电和光伏发电的出力不确定性,以降低配电网有功损耗、均衡负荷过载和减少开关操作次数为综合优化目标。将3个目标函数视为不同的博弈者,并考虑各目标之间存在的相互制约关系,加入“后评价”选择机制,构建了合作博弈联盟模型探讨目标间可能存在的联系,并采用改进萤火虫算法对模型进行求解,利用适应度值的大小确定最终重构方案。IEEE 33节点配电网的测试结果表明,所用算法能够快速找到多目标重构博弈模型的均衡解,验证了在加入分布式电源的情况下,网络重构能明显改善配电网的各项指标。 |
关键词: 配电网重构 多目标优化 博弈模型 混沌理论 萤火虫算法 |
DOI:10.16081/j.issn.1006-6047.2019.02.005 |
分类号:TM761 |
基金项目:国家自然科学基金资助项目(51677061,51507058) |
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Multi-objective distribution network reconfiguration based on game theory |
DING Yang, WANG Feng, BIN Feng, ZHOU Wu
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College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
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Abstract: |
A multi-objective reconfiguration model of distribution network based on game theory is proposed. The model takes full account of the uncertainties of wind power and photovoltaic power generation, and the objective of optimization is to reduce active loss of distribution network, balance overload and reduce the number of switching ope-ration comprehensively. The cooperative game alliance model is established to discuss the possible relationships among the targets based on the “post-evaluation” selection mechanism, by treating the three objective functions as different players and considering their mutual restraint relationships. The improved firefly algorithm is applied to solve the model, and the final reconfiguration scheme is determined based on the fitness value. The test results of IEEE 33-bus distribution network show that the algorithm can quickly find the equilibrium solution of the multi-objective reconfiguration game model, and verify that the network reconfiguration can obviously improve the indexes of distribution network with distributed generation integrated. |
Key words: distribution network reconfiguration multi-objective optimization game model chaos theory firefly algorithm |