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基于自适应遗传算法的配电网DG选址与定容
引用本文:张力,郑立,张尧. 基于自适应遗传算法的配电网DG选址与定容[J]. 吉林电力, 2014, 0(3): 18-21
作者姓名:张力  郑立  张尧
作者单位:[1]吉林省电力勘测设计院,长春130022 [2]华南理工大学电力学院,广州510641
摘    要:以配电网规划投资为考虑因素,建立了含分布式电源(DG)的配电网规划经济性模型,以折算到每年的DG的投资运行费用、线路运行费用及引入DG后购电费用最小为目标函数,采用自适应遗传算法解决DG布点规划问题。通过对某地35节点低压配电网算例进行仿真计算,验证了本文算法的有效性,并得到了DG较为合理的安装位置和接入容量。

关 键 词:分布式电源(DG)  配电网规划  选址定容  遗传算法

Location and Sizing of Distributed Generation in Distributed Network Based on Self-adaptive Genetic Algorithm
Abstract:Economic model of power distribution network planning with distributed generations (DGs) has been established with the consideration of distribution network planning investment. Converted annual DG operation cost, transmission line operation cost and electricity purchasing cost containing DG are set as minimized goal function. Self-adaptive genetic algorithm has been adopted to solve the sitting and sizing issue of DG. Simulation on certain low-voltage distribution network containing 35 nodes verifies the effectiveness of the algorithm in this paper. Reasonable location and integration capacity have also been determined.
Keywords:distributed generation(DG)  distribution network planning  sitting and sizing  genetic algorithm
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