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Optimal SVC placement for voltage stability reinforcement of power systems with most critical and N-1 security criteria

机译:具有最关键的电力系统的最佳SVC放置,具有最关键的电力系统和N-1安全标准

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This paper presents a messy genetic-algorithm-based optimization scheme for SVC planning, aimed at voltage stability enhancement of power systems under most critical and N-1 operation conditions. The SVC placement was formulated as a multi-objective optimization problem in terms of maximum worst-case reactive power margin, highest load voltages towards the critical operating points, minimum real power losses, and lowest SVC device costs. During the genetic algorithm search for the optimal solution, the most critical disturbance scenario was estimated with each SVC placement and the configuration of the original power system. The preselected candidate was further checked against the N-1 security criterion.
机译:本文介绍了一种用于SVC规划的基于杂乱的遗传算法的优化方案,旨在在最关键的和N-1操作条件下的电力系统的电压稳定性增强。根据最大最差的无功功率裕度,朝向关键操作点的最高负载电压,最小实际功率损耗和最低SVC设备成本,将SVC放置作为多目标优化问题。在遗传算法搜索最佳解决方案期间,每个SVC放置和原始电力系统的配置估计最关键的干扰场景。预选的候选人进一步检查了N-1安全标准。

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