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Random adaptive optimizer restores distribution service

机译:随机自适应优化器恢复分发服务

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摘要

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.
机译:电力网络故障可能导致某些地区的停电。调度员应尽快准确地诊断出故障元件,并将这些区域恢复到正常状态。配电网络中停电区域的恢复是一个复杂的非线性组合优化问题,即要恢复尽可能多的停电区域,而不会导致正常区域过载。鉴于传统专家系统(ES)基于用于恢复停电区域的规则的局限性,将基于遗传算法(GA)的新的随机自适应优化方法应用于配电网的恢复系统。

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