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Optimal voltage unbalance compensation in a microgrid using PSO algorithm

机译:使用PSO算法的微电网最佳电压不平衡补偿

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Distributed generations (DGs) make the microgrid active and more flexible. In addition of power demand supplying, the DGs can be used for improving power quality indices such as reducing voltage unbalance. However, for purposes of power quality improvement the microgrid controllers' coefficients should be adjusted optimally. Due to microgrid components accurate modeling, the controllers' adjustment is a complex problem that should be solved using an appropriate approach. The purpose of this paper is proposing particle swarm optimization (PSO) algorithm so as to find the optimal coefficients of a PI controller for enhancing voltage unbalance factor (VUF) in a microgrid. The objective function is considered minimization of integral of absolute error index which is solved under technical constraints. The results of simulation indicate the robustness and success of the proposed algorythm.
机译:分布式世代(DG)使微电网变得活跃且更加灵活。除了提供电力需求外,DG还可以用于改善电能质量指标,例如减少电压不平衡。但是,出于改善电能质量的目的,微电网控制器的系数应进行最佳调整。由于微电网组件的精确建模,控制器的调整是一个复杂的问题,应使用适当的方法来解决。本文的目的是提出粒子群优化(PSO)算法,以找到用于提高微电网中电压不平衡因子(VUF)的PI控制器的最佳系数。目标函数被认为是绝对误差指数积分的最小化,这是在技术约束下解决的。仿真结果表明了所提出算法的鲁棒性和成功性。

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