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一种改进粒子群算法的模糊自适应双环VSC-HVDC控制器研究

Research on a Kind of Fuzzy Adaptive Double Closed-Loop VSC-HVDC Controller Based on Improved Particle Swarm Optimization Algorithm
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摘要 对基于电压源换流器(VSC)的新型直流输电(HVDC)系统的控制策略进行了研究;本文首先分析了VSC-HVDC的基本工作原理,然后在同步旋转(dq)坐标系下进行建模;在经典双闭环控制基础上采用电网电压前馈控制并运用改进的粒子群算法和模糊自适应原理对控制器进行了改善;最后,通过MATLAB/SIMULINK仿真验证了本文所设计的控制器有良好的鲁棒性和较强的适应性。 Based on voltage source converter (VSC) of new type dc transmission (HVDC) system control strategy is studied; This paper first analyzes the basic principle ofVSC - HVDC, then establishes model under the synchronous rotation coordinate system (d-q). Using the classic double closed-loop control stragety and particle swarm optimization (pso) algorithm, based on the fuzzy controller is improved to adaptive control. Finally, this paper is carried out by MATLAB/SIMULINK to verify that the designed controller has a good robustness and strong adaptability.
出处 《自动化技术与应用》 2018年第2期16-21,共6页 Techniques of Automation and Applications
关键词 压源换流器 直流输电 PI控制 改进粒子群算法 模糊自适应控制 voltage source converter DC transmission PI control improved particle swarm algorithm fuzzy adaptive control
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