基于经验可控性协方差的动态无功电源优化配置
Optimal Placement of Dynamic Var Sources by Using Empirical Controllability Covariance
摘要：
在本文中，经验可控性协方差（ECC），这是计算周围的电力系统的运行条件下，被施加到量化的系统电压在特定的动态无功源位置的可控性程度。针对故障引起的延迟电压恢复（FIDVR）问题，提出了一种动态无功源优化配置方法，并将其转化为最大化ECC行列式的最优化问题。NOMAD求解器实现了网格自适应直接搜索算法，有效地解决了最优化问题。在NPCC 140节点系统上进行了测试，结果表明，与基于电压灵敏度指数（VSI）的方法相比，采用故障指定ECC的方法可以用更少的动态无功源来解决最严重事故引起的FIDVR问题。所提出的方法与故障未指定的ECC不依赖于设置的应急，可以解决更多的FIDVR问题比VSI方法时，放置相同数量的SVC在不同的故障持续时间。它还表明，所提出的方法可以帮助减轻电压崩溃。
英文摘要：
In this paper, the empirical controllability covariance (ECC), which is calculated around the considered operating condition of a power system, is applied to quantify the degree of controllability of system voltages under specific dynamic var source locations. An optimal dynamic var source placement method addressing fault-induced delayed voltage recovery (FIDVR) issues is further formulated as an optimization problem that maximizes the determinant of ECC. The optimization problem is effectively solved by the NOMAD solver, which implements the Mesh Adaptive Direct Search algorithm. The proposed method is tested on an NPCC 140-bus system and the results show that the proposed method with fault specified ECC can solve the FIDVR issue caused by the most severe contingency with fewer dynamic var sources than the Voltage Sensitivity Index (VSI) based method. The proposed method with fault unspecified ECC does not depend on the settings of the contingency and can address more FIDVR issues than VSI method when placing the same number of SVCs under different fault durations. It is also shown that the proposed method can help mitigate voltage collapse.
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