引用本文: | 吴建旭,于永进.基于改进和声搜索算法的多目标配电网重构优化[J].电力系统保护与控制,2021,49(19):78-86.[点击复制] |
WU Jianxu,YU Yongjin.Multi-objective distribution network reconfiguration optimization based on an improved harmony search algorithm[J].Power System Protection and Control,2021,49(19):78-86[点击复制] |
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摘要: |
为了减少有源配电网的网络损耗、提高系统运行的稳定性,建立了以网络损耗、开关动作数、负荷和电压平衡度为目标的数学模型。针对传统和声搜索算法全局数据依赖性较差、寻优的后半段速率变慢和易陷于早熟困境等问题,将其自适应参数、取值机制和越界逸出进行了改进。对无功进行随机优化补偿,利用场景分析法确定风机的出力值,采用定时模式的电动汽车模型对日负荷进行削峰填谷。基于欧式距离的K-Means方法对一天内含分布式电源的配电网络进行分段,在IEEE33电力结构中进行了动静态两重测试。在算法收敛上与传统和声、自适应和声搜索算法对比,减少了算法的无效运行次数,提高了算法的运行速度和全局寻优能力。在重构优化结果上与改进蚁群算法对比,减少了网络损耗和开关动作数,提高了系统运行的经济性与可靠性。 |
关键词: 有源配电网 重构优化 和声搜索算法 聚类 场景分析 |
DOI:DOI: 10.19783/j.cnki.pspc.201550 |
投稿时间:2020-12-14修订日期:2021-04-26 |
基金项目:国家自然科学基金项目资助(61672337) |
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Multi-objective distribution network reconfiguration optimization based on an improved harmony search algorithm |
WU Jianxu,YU Yongjin |
(College of Electrical and Automation Engineering, Shandong University of Science and Technology, Qingdao 266590, China) |
Abstract: |
In order to reduce the network loss of an active distribution network and improve the reliability of system operation, a mathematical model with the goal of network loss, switching operations, load and voltage balance is established. Given the problems of poor global data dependence of traditional harmony search algorithms, slower speed in the second half of optimization, and easy falling into a premature dilemma, the adaptive parameters, value mechanism and out-of-bounds escape are improved. Random optimization compensation for reactive power, using scenario analysis to determine the output value of the wind turbine. It also uses the electric vehicle model in timing mode to cut peaks and fill valleys for daily load, and the K-Means method based on Euclidean distance segmenting the distribution network containing distributed power sources within a day. It carries out a dynamic and static double test in the IEEE33 power structure. Compared with traditional harmony and adaptive harmony search algorithms in terms of algorithm convergence, it reduces the number of invalid runs of the algorithm and improves the running speed of the algorithm and the global optimization capability. Compared with the improved ant colony algorithm in the reconstruction optimization results, the network loss and the number of switching actions are reduced, and the economy and reliability of the system operation are improved.
This work is supported by the National Natural Science Foundation of China (No. 61672337). |
Key words: active distribution network reconfiguration and optimization harmony search algorithm clustering scenario analysis |