Tunning of PSS4B Using Improved SimuAPSO Algorithm

Jian Wu, D. Jia, Zihang Yuan, Dianguo Xu
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Abstract

Low frequency oscillation of power system has become an important problem because of the increasing complexity of power network. Multi-band power system stabilizer (PSS4B) has been widely used in power systems because it can improve the dynamic stability of the system in a large frequency range. Therefore, it is an essential task in power system operation to adjust PSS parameters to obtain satisfactory performance. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed and used to tune the PSS parameters. Then, this paper investigates the power system dynamic performances affected by the tuned PSS parameters. Through time domain transient stability simulation, the results show that due to the complexity of low-frequency oscillation in the actual system, setting the PSS4B parameters according to IEEE standard can not guarantee well system performance, and the optimization based method can be used to improve the systems' performance.
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基于改进SimuAPSO算法的PSS4B调谐
随着电网的日益复杂,电力系统的低频振荡问题已成为一个重要的问题。多频段电力系统稳定器(PSS4B)由于能够提高系统在大频率范围内的动态稳定性,在电力系统中得到了广泛的应用。因此,调整PSS参数以获得满意的性能是电力系统运行中的一项重要任务。本文提出了一种改进的粒子群优化算法(PSO),并将其用于PSS参数的优化。然后,研究了调整后的PSS参数对电力系统动态性能的影响。通过时域暂态稳定性仿真,结果表明,由于实际系统低频振荡的复杂性,按照IEEE标准设置PSS4B参数并不能保证系统的良好性能,基于优化的方法可以提高系统的性能。
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