直流微电网中常常含有恒功率负载(constant power loads,CPLs),其负阻抗特性会降低系统的稳定性,造成直流母线电压波动甚至崩溃.因此,首先建立了直流微电网的小信号模型,使用根轨迹法分析了恒功率负载对系统稳定性的影响;其次提出一种基于混合灵敏度优化的电压控制策略,提升了直流微电网系统的稳定性,并采用改进粒子群优化(particle swarm optimization,PSO)算法对权函数进行了优化,进一步提升了鲁棒控制器的性能;最后采用Matlab/Simulink仿真算例进行验证,仿真结果表明提出的鲁棒控制器减小了母线电压的波动,有效提升了直流微电网系统的稳定性.
H∞ Control Strategy for DC Microgrid Based on Improved Particle Swarm Optimization Weight Function
DC microgrids often contain constant power loads(abbr.CPLs),whose negative impedance characteristics can re-duce the stability of the system,causing DC bus voltages to fluctuate and even collapse.Therefore,firstly,a small-signal model of DC microgrid is established,and the influence of con-stant power load on system stability is analyzed using the root trajectory method;secondly,a hybrid sensitivity optimization-based voltage control strategy is proposed to improve the stabil-ity of the DC microgrid system,and an improved particle swarm optimization(abbr.PSO)algorithm is used to optimize the weight function and further improve the performance of the robust controller;finally,a Matlab/Simulnik simulation is used to verify the performance of the robust controller,and the simu-lation results show that the proposed robust controller reduces the bus voltage fluctuation and effectively improves the stabil-ity of the DC microgrid system.
DC microgridstability analysisbus voltageH∞ controlparticle swarm optimization