随机自适应优化器恢复分布服务

Si-qing Sheng, Youjiang Sun, Yan Liu, Wenqin Zhang, Yihan Yang
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引用次数: 5

摘要

电网故障可能导致部分地区停电。调度员应尽快准确诊断故障要素,并将故障区域恢复到正常状态。配电网停电区域的恢复是一个复杂的非线性组合优化问题,其目标是尽可能多地恢复停电区域,同时不导致正常区域过载。针对传统的基于规则的停电恢复专家系统的局限性,将一种基于遗传算法的随机自适应优化方法应用于配电网恢复系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Random adaptive optimizer restores distribution service
Power network faults may lead to blackouts in some areas. Dispatchers should accurately diagnose faulted elements as soon as possible and restore those areas to their normal state. The restoration of the blackout area in a distribution network is a complex nonlinear combinatorial optimization problem, which is to restore as much of the blacked out area as possible and not to lead to overload in the normal area. In view of the limitation of the conventional expert system (ES) based on rules for restoring a blacked out area, a new random adaptive optimizing method based on a genetic algorithm (GA) is applied to the restoration system of the distribution network.
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