基于内点法和遗传算法的复合电力系统无功充分性评估

Fan Chen, Haitao Liu, Jun Li, Zheng Huang
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引用次数: 3

摘要

系统应急状态下的最优减载问题的求解是复合电力系统可靠性分析的重要环节。在解耦交流潮流模型的基础上,首先建立了考虑母线电压和无功约束的线性无功补救模型。针对无功优化问题中控制变量离散的问题,提出了一种内点法和遗传算法相结合的混合优化方法。本文定义了一些可靠性指标来表示无功充分性,类似于表示有功充分性的指标。以改进后的IEEE RTS为例,验证了所提出的优化算法,并研究了并联补偿容量和母线电压的离散性对系统可靠性指标的影响。
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Reactive power adequacy assessment of composite power system based on interior point method and genetic algorithm
The solution of optimal load curtailment for the selected system contingency states is the most important step for the reliability analysis of composite power system. The linear reactive remedial model considering the bus voltage and reactive power constrains was formulated first based on the decoupled AC load flow model. Aiming at dealing with the discrete control variables in the reactive power optimal problem, a hybrid optimal method combined with interior point method and Genetic Algorithm (GA) method is proposed. Some reliability indices are defined to represent the reactive power adequacy similar to the indices used for representing active power adequacy in this paper. Case studies have been carried out on the modified IEEE RTS to validate the proposed optimal algorithm and investigate the effect of discreteness of shunt compensation capacity and bus voltage on system reliability indices.
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