Suppression of low frequency oscillations in power equipment at the harbor based on NSGA-II

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ORIGINAL RESEARCH

Suppression of low frequency oscillations in power equipment at the harbor based on NSGA‑II Xing Wu1 · Xuefeng Yu1 · Tianyu Liu2 Received: 28 April 2020 / Accepted: 5 September 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020

Abstract When the power company is cutting and sending electricity, low frequency oscillation will occur in the power equipment at the harbor, which causes equipments to fail to function properly. This paper proposes an improved NSGA-II to coordinately control the power system, with the power system stabilizer and static reactive power compensator. The classical single machine system is simulated and analyzed in Matlab/Simulink software. The Strength Pareto Evolutionary Algorithm is selected to compare and analyze the different performance with the improved genetic algorithm which proposed in this paper. The results show that the PSS and SVC optimized by NSGA-II can improve the damping ratio of power system and restrain the low-frequency oscillation more effectively. Keywords  Low-frequency oscillation · NSGA2 · Power system stabilizer · Static var compensator

1 Introduction With the development of port terminals, the degree of electrical automation of terminal equipment is getting higher and higher. Low-frequency oscillations, caused by power operations, such as power transmission and transmission by power companies, make the port’s power facilities prone to paralysis and affect the normal operation of the port. Installing a Power System Stabilizer (PSS) and a Static Var Compensator (SVC) can effectively suppress low-frequency oscillations in the power system. Tang and Xie (2013) proposed adding a Prony analysis link to the PSS controller to monitor the running status of the generator in real time in order to achieve the closed-loop control of the system. Binyu (2017) and Zeng (2018) proposed a method to match the test signal with a few trajectories. Optimal design of control parameters * Xing Wu [email protected] Xuefeng Yu [email protected] Tianyu Liu [email protected] 1



Shanghai International Port (Group) Co. Ltd, Shanghai 201306, China



School of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China

2

for additional damping of static reactive power compensator. Zhou et al. (2018b) proposed the optimization design of PSS and SVC damping controller parameters from two aspects of frequency domain and intelligent algorithm to achieve suppression of low-frequency oscillations in power systems. The NSGA-II algorithm joined by the rapid non dominated sorting mechanism reduces the complexity of the calculation. With using crowded degree of distance and distance comparative operator based on crowded degree, it enlarges the search space to ensure the diversity of population. It adds an elite strategy to help expand the population sampling search area. The computation cycle and robustness of the algorithm are greatly improved. In this paper, the improved NSGA-II algorithm is used to optimize the parameters of the SVC and P