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A PSO-MMA Method for the Parameters Estimation of Interarea Oscillations in Electrical Grids

机译:一种PSO-MMA方法,用于电网中的InterraeA振荡参数估计

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This article deals with the parameters' measurement of interarea oscillations, which are low-frequency damped oscillations that affect the high-voltage transmission lines when an unbalance between the power demand and the generated power occurs. The authors propose a method that processes the samples provided by the phasor measurement unit (PMU) and performs the online estimation of the parameters that characterize the interarea oscillations. The method takes advantage of the speed of a heuristic algorithm, such as the particle swarm optimization (PSO), but performs an enhancement on the results to increase the reliability. The tests carried out for the method assessment prove that the proposed method is characterized by a fast response, high accuracy, and excellent reliability, regardless of the type of oscillation that is considered.
机译:本文涉及参数的InterraeA振荡的测量,这是在电力需求与产生的电源之间不平衡时影响高压传输线的低频阻尼振荡。作者提出了一种方法,该方法处理相量测量单元(PMU)提供的样本并执行表征Interrarea振荡的参数的在线估计。该方法利用启发式算法的速度,例如粒子群优化(PSO),但对结果进行增强以提高可靠性。对于方法评估进行的测试证明,该方法的特点是快速响应,高精度和优异的可靠性,无论考虑的振荡类型如何。

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