变权-混合决策评估的复合功能并网逆变器多目标协同优化控制方法OA北大核心CSTPCD

Multi-functional grid connected inverter(MFGCI)has the ability to solve various power quality problems in the distribution network while fulfilling the power output task simultaneously,but this ability is often limited by its compensation capacity that can be used for power quality management.Based on the control structure of MFGCI,this paper provides the current compensation order and grid connection tracking current order without phase-locked loop(PLL).A multi-objective collaborative optimization method based on variable weight mixed decision evaluation is proposed to better adapt to the fluctuations in power quality indicators caused by nonlinear load integration and uncertainty of new energy.A multi-objective function is constructed to achieve the best power quality compensation effect and the minimum required compensation capacity.Based on update mechanism from the multi-objective artificial hummingbird algorithm(MOAHA),an optimization algorithm is employed to solve the optimal capacity allocation coefficient for compensating various power quality problems.The correctness and effectiveness of the proposed method are verified through simulations in various scenarios.