电网综合补偿系统中智能控制算法的应用研究

摘要

This article introduces the way to synthetically compensatereactive power and three phase current imbalance of power-supply system, which is on base of the intelligent control model of power-supply system. Fuzzy control and neural network technique are applied. We have done emulation using the sample data of power-supply system of some building of our school. Before it is compensated, the average power factor is 0.86953 and current imbalance percent is 6.3921%. After it is compensated, the average power factor is 0.99908 and current imbalance percent is 2.7467%.%基于电网综合补偿系统的智能控制模型，采用模糊控制和神经网络控制技术，对电网中的功率因数亏损、电流三相不平衡等参数进行综合补偿.以我校某区的配电采样数据进行仿真，仿真结果为平均功率因数补偿前为0.86953，补偿后提高到0.99908；电流平均三相不平衡度补偿前为6.3921%，补偿后减少2.7467%.