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Power System Load Modeling by Evolutionary Computation Based on System Measurements

机译:基于系统度量的进化计算电力系统负荷建模

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摘要

This paper proposes a methodology using evolutionary computation techniques based on system measurements to construct power system load models and achieve distribution network reduction. An equivalent area load model is proposed to represent the loads in an area of the power system. A population diversity-based genetic algorithm is used to obtain the structure and parameters of the load model. Simulation results on a 5-bus power system and an IEEE 30-bus power system are given to show the potential of this novel methodology of power system load modeling.
机译:本文提出了一种基于系统测量结果的进化计算技术,以构建电力系统负荷模型并实现配电网简化。提出了等效面积负荷模型来表示电力系统区域内的负荷。基于种群多样性的遗传算法用于获得负荷模型的结构和参数。给出了在5总线电源系统和IEEE 30总线电源系统上的仿真结果,以显示这种新颖的电力系统负载建模方法的潜力。

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