Predictive Optimal algorithm based Coordinated voltage Control for large power system

P. Ye, Qing Bian, Jiahua Song, B. Yao
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引用次数: 2

Abstract

Misbalance between reactive power production and consumption in power system causes the variation of node voltage outside the proposed limit. It is a main task for system operators to maintain the voltage profile against any unexpected disturbance. In this paper a simple and practical coordinated secondary voltage control (CSVC) method was present, which was based on the predictive optimal algorithm. By taking the changing tendency of reactive power into consideration, a discrete predictive optimal control scheme was proposed, additional measurements were used in order to offset the effects of the loads variation and the changing of reactive power among neighboring areas. Grey model (GM) was employed to predict the changing tendency of reactive power in the tie lines and in the main loads node. Then based on the prediction results an optimal calculation was used to get the control law in each control step with the consideration of reactive power changing tendency. The simulation results as examples on the large power system were presented to illustrate the validity of the improved control scheme.
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基于预测最优算法的大型电力系统电压协调控制
电力系统中无功输出与无功消耗不平衡,导致节点电压变化超出建议限值。保持电压分布不受任何意外干扰是系统操作员的主要任务。本文提出了一种简单实用的基于预测优化算法的协调二次电压控制方法。在考虑无功功率变化趋势的基础上,提出了一种离散预测最优控制方案,并采用附加措施来抵消负荷变化和相邻区域无功功率变化的影响。采用灰色模型(GM)对配电网和主负荷节点的无功功率变化趋势进行了预测。然后在预测结果的基础上,考虑无功功率变化趋势,通过优化计算得到各控制步的控制律。以大型电力系统为例进行了仿真,验证了改进控制方案的有效性。
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