李成,李闯,董国平,陆生兵,万利剑,刘新斌
LI Cheng,LI Chuang,DONG Guoping,LU Shengbing,WAN Lijiang,LIU Xinbin

• 1:国网浙江长兴县供电有限公司

摘要(Abstract)：

为解决配电网中分布式光伏电源的容量优化配置问题,构建了含有分布式光伏电源运行建设费用、配网损耗费用、购电成本效益和环保效益的目标函数,并以配电网中节点电压、功率平衡等为约束条件,通过改进自适应遗传算法求解模型最优解。IEEE 33节点算例中,传统遗传算法在迭代至第77次用时32.72 s收敛至最优解,自适应遗传算法迭代至第39次用时16.57 s收敛至最优解,改进的自适应遗传算法迭代至第10次用时4.78 s就已经收敛至最优解,验证了模型和算法的合理性。
In order to solve the problem of optimal capacity allocation of distributed photovoltaic power supply in distribution network, this paper constructs the objective function containing distributed PV power supply operation and construction cost, distribution network loss cost, electricity purchase cost-benefit and environmental benefit. The node voltage and power balance in the distribution network are taken as constraints to get the optimal solution of the mode through improved adaptive genetic algorithm. In the IEEE33 node example,the traditional genetic algorithm converges to the optimal solution in 32.72 seconds when iterating to the seventy-seventh time, and the adaptive genetic algorithm converges to the optimal solution in 16.57 seconds when iterating to the thirty-ninth time. The improved adaptive genetic algorithm converges to the optimal solution in4.78 seconds when iterating to the tenth time, which verifies the rationality of the model and the algorithm.

关键词(KeyWords)： 配电网;分布式光伏;优化配置;经济性;改进自适应遗传算法
distribution network;distributed PV;optimal allocation;economy;improved adaptive genetic algorithm

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 李成,李闯,董国平,陆生兵,万利剑,刘新斌
LI Cheng,LI Chuang,DONG Guoping,LU Shengbing,WAN Lijiang,LIU Xinbin

DOI: 10.19585/j.zjdl.201902014

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