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基于熵权和自适应负载编码的配电网故障恢复算法研究

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针对传统故障恢复方案评价方法难以制定合理目标权重的问题,文章提出了一种基于熵权的综合权重确定方法,对故障恢复方案的优劣进行评价。针对传统群体智能算法难以应对负载无法完全恢复的问题,文章提出了一种自适应负载编码的方法融入群体智能算法,将不满足约束条件的个体做负载切除处理,使得智能算法中的每个编码为电气角度的可行解,通过算法的逐步迭代得出使得目标函数最优的解。经算例验证该算法可以得到全局最优解并且可以解决大面积负载恢复问题,具有一定的工程价值。
Research on distribution network service restoration based on entropy weight and adaptive load coding strategy
Objective weights were difficult to be made reasonably in traditional evaluation method of service restoration.In this paper the synthetic weight was used to evaluate the service restoration plans for the swarm intelligence algorithm.Besides the traditional swarm intelligence algorithm is difficult to deal with the problem that the load cannot be recovered completely,this paper proposed a load shedding strategy to ensure each individual of the group is feasible in the point of electricity.Finally a numerical example shows that the proposed method can effec-tively obtain the optimal plan of distribution network service restoration.

service restorationdistribution networkswarm intelligence algorithmentropy weightadaptive load coding strategy

苑捷、姚玉海、王婷、张毅、孙永文

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国网北京市电力公司,北京 100031

北京开元浩海科技发展有限公司,北京 102299

故障恢复 配电网 群体智能算法 熵权 自适应负载编码

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(19)