基于粒子群算法的VSC-HVDC控制参数优化Optimization of VSC-HVDC Control Parameters Based on Particle Swarm Optimization
阮立煜
RUAN Liyu
摘要(Abstract)：
随着大功率电力电子技术的发展,电压源型直流输电得以实现,为了简化这种新型的直流输电方式控制器设计和提高系统鲁棒性,采用了结合PI控制器的双闭环控制。以两端均为有源网络的电压源型直流输电系统为研究对象,以Matlab/Simulink为研究平台,利用粒子群优化算法,对VSC控制器参数进行了优化。建立直流输电的暂态数学模型,据此分析其控制器结构,选定需要优化的控制参数。将粒子群算法程序与直流输电仿真模型结合进行仿真计算,通过多次迭代得出优化的控制器参数,并与原始参数进行系统性能对比,验证该方法的可行性。
With technology development of high-power electronics, VSC(voltage source converter)-HVDC is implemented. To simplify the design of VSC and improve system robustness, PI-integrated double closed-loop is adopted. Taking VSC-HVDC with active networks at both terminals as research object and MATLAB/Simulink as research platform, VSC controller parameters are optimized by particle swarm optimization. The transient mathematical model for VSC-HVDC is developed, on the basis of which architecture of control system is analyzed and parameters that need to be optimized are selected. Particle swarm optimization and DC transmission simulation model are combined for simulation. The optimized controller parameters are concluded by iteration; furthermore, the parameters and the initial ones are compared in terms of system performance for feasibility validation.
关键词(KeyWords)：
直流输电;电压源换流器;粒子群优化;控制参数
DC transmission;VSC;particle swarm optimization;control parameter
基金项目(Foundation):
作者(Author):
阮立煜
RUAN Liyu
DOI: 10.19585/j.zjdl.2015.01.003
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