Control Strategy of Electric Spring Under Non-ideal Voltage Conditions Based on Improved PSO Algorithm

被引:0
|
作者
Zhou J. [1 ]
Li X. [1 ]
Mao D. [1 ]
Li H. [1 ]
Deng Y. [1 ]
Hu C. [1 ]
机构
[1] School of Automation Engineering, Shanghai University of Electric Power, Shanghai
基金
中国国家自然科学基金;
关键词
Electric spring; Fourth-order generalized integrator; Harmonic suppression; Particle swarm optimization algorithm; Voltage imbalance;
D O I
10.7500/AEPS20180415001
中图分类号
学科分类号
摘要
The purpose of electric spring (ES) can effectively alleviate the intermittent problems caused by new energy generation and provide stable power quality for critical loads (CL) by realizing the variance of electricity consumption with the change of power generation. However, ES adopts with the traditional proportional-integral (PI) control method and can not effectively stabilize the CL voltage under non-ideal grid voltages (voltage imbalance and low-order harmonics coexist). To solve this problem, the active power filter (APF) based on fourth-order generalized integrator (FOGI) is firstly developed, which can filter out the harmonics in the grid and compensate for the unbalanced current of the CL bus. The proposed method can meet the requirements of the CL voltage and current harmonics and can balance the output current in the inverter. Furthermore, the improved particle swarm optimization (PSO) algorithm is used to detect the unbalanced voltage information of CL two ends in real time, and optimize the pulse width modulation (PWM) control signal of ES voltage in series with non-critical load (NCL) to make the voltage across the CL stable and meet the requirements of the power quality, which would eliminate the impact of imbalance and fluctuations of grid voltage. Finally, the proposed algorithm is verified by simulating different load conditions. © 2018 Automation of Electric Power Systems Press.
引用
收藏
页码:165 / 171
页数:6
相关论文
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