Research of immune algorithms for reconfiguration of distribution network with distributed generations

Cailian Gu, Jianwei Ji, Li Liu
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引用次数: 3

Abstract

The structure of traditional distribution network is changed from a single supply radial network to a more power ring network when grid is connected with distributed generations (DG), and island phenomenon occurs higher in the process of reconstruction, which becomes uncontrolled and high risk operation and increased the difficulty of distribution network reconstruction. The improved immune genetic algorithm introduced the principle of biological immune mechanism into standard genetic algorithm is put forward, the problem of genetic algorithm premature convergence in distribution network calculation is overcome, constraint conditions of preventing islanding phenomenon in the reconstructed model is added, encoding method based on the loop is used. The calculation results show that, in the case of a distributed power supply, the loss of network can be decreased and voltage quality is improved by using this method, what is the most that island phenomenon is avoided. IEEE33 node is an example to prove the feasibility of the method.
分布式代配电网重构的免疫算法研究
配电网与分布式发电并网后,传统配电网结构由单一供电的辐射型电网转变为多功率的环状电网,在改造过程中更容易出现孤岛现象,成为不可控的高风险运行,增加了配电网改造的难度。提出了将生物免疫机制原理引入标准遗传算法的改进免疫遗传算法,克服了遗传算法在配电网计算中过早收敛的问题,在重构模型中加入了防止孤岛现象的约束条件,采用了基于回路的编码方法。计算结果表明,在分布式供电的情况下,采用该方法可以降低网络损耗,提高电压质量,最大限度地避免了孤岛现象。以IEEE33节点为例,验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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