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基于改进遗传算法的配电网络重构

DISTRIBUTION NETWORK RECONSTRUCTION BASED ON IMPROVED GENETIC ALGORITHM

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【作者】 余健明蔡利敏

【Author】 YU Jian-ming, CAI Li-min (Dept. of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, Shaanxi Province, China)

【机构】 西安理工大学电气工程系西安理工大学电气工程系 陕西省 西安市 710048陕西省 西安市 710048

【摘要】 以配电网可靠性最高为目标函数和配电网的运行满足电力连续供戍为约束条件,提出了基于排序选择、对违反约束个体进行直接比较的改进自适应遗传算法。这是一种对配电网的可靠性按照深度优先搜索最小路径进行计算的方法。通过IEEE典型算例RBTS Bus 4系统的验证,表明该算法是有效的。与禁忌搜索算法(TS)比较,该算法可获得最优方案,而禁忌搜索算法只能获得次优方案。

【Abstract】 Taking the maximized reliability of distribution network for objective function and the continuous power supply of distribution system for constraint condition, an improved adaptive genetic algorithm, which is on the basis of ordering selection and direct comparison of the individual that violates the constraint, is put forward. It is a method in which the reliability of distribution network is calculated by preferred search of minimal path according to the depth. Verifying by RBTS Bus 4 system which is a typical calculation example of IEEE, the result shows that the presented algorithm is effective. Comparing with Tabu search, the result shows that with the presented algorithm the optimal project can be obtained and yet with Tabu search only suboptimal project can be obtained.

  • 【文献出处】 电网技术 ,Power System Technology , 编辑部邮箱 ,2004年09期
  • 【分类号】TM727
  • 【被引频次】62
  • 【下载频次】411
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