电力系统新型特种并联逆变器控制策略研究

Novel Parallel Control Strategy for Special Inverter in Electrical System

由于大功率并联逆变供电系统存在着复杂的非线性过程,导致了输出波形质量差,环流抑制效率低等问题。利用支持向量机(support vector machines,SVM)智能辨识算法实现去非线性目标,提出了一种新的分布式并联复合控制方案。逆系统方法由实测样本提取模型特征,并结合PID双环补偿方案的优势,保障了对真实系统的低建模误差率和对突发干扰的高适应力,提高了系统鲁棒性,更进一步提出了匹配的瞬时均流方案,加强了负载均分、环流抑制的效果。仿真结果显示,复合控制方案能使系统的波形畸变率低、静态误差小、均流能力强,可实现系统冗余,是一种行之有效的并联控制策略,可为逆变换器优化控制提供依据。

There are complicated non-linear processes in the high-power parallel inverter system, which weaken the output property and the current sharing performance. The support vector machines （SVM） are adopted to sweep the non-linear factors away, and a novel distributed multiple control strategy for parallel inverter system is proposed. Because of extracting information from the actual sample and absorbing the superiority of the PID-based double-loop compensation strategy, the inverse model can achieve excellent robustness, low modeling error of the real inverter sys- tem, and high inhibition of the sudden interference; With the additional application of the current sharing technique based on one bus, the inverter is capable to divide the load power equally and obtain highly accurate output. The sim- ulation results show that the multiple control can effectively reduce the wave distortion, lower the steady-state error, enhance the current sharing performance, and achieve the redundant of power supply. The multiple control strategy is effective.