多功能并网逆变器电能质量优化控制策略

Power quality optimization control strategy of multi-function grid-connected inverter

多功能并网逆变器(multi-function grid-connected inverter,MFGCI)具有并网发电和电能质量治理的复合功能,为了有效利用满足并网需求后的剩余容量,基于突变级数法建立了微电网电能质量综合评估模型,采用多目标粒子群优化(multi-objective particle swarm optimization,MOPSO)算法求得最优化模型非劣解集,实现优化电能指标的同时投入最小补偿容量的目标。通过仿真和实验证明了该策略的有效性,与其他电能质量综合评估方法相比,所选取的评估方法更加合理,可避免主观因素对指标评估的影响;与基于非支配排序的遗传算法(non-dominated sorting genetic algorithm,NSGA)的优化方案相比较,所选取的MOPSO算法在多目标寻优时具有更好的寻优结果和收敛性能,得到的并网逆变器补偿容量优化方案具有较好的经济性,可以更加精确地满足电能质量定制要求。

Multi-function grid-connected inverter(MFGCI)has the compound functions of grid-connected power generation and power quality management.In order to effectively utilize the remaining capacity after meeting the grid-connected demand,a comprehensive evaluation model of microgrid power quality was established based on catastrophe progression method.Multi-objective particle swarm optimization(MOPSO)algorithm was used to obtain the non-inferior solution set of the optimization model to achieve the goal of minimum compensation capacity while optimizing the power index.Simulation and experiment prove the effectiveness of this strategy.Compared with other comprehensive evaluation methods of power quality,the selected evaluation method is more reasonable and could avoid the influence of subjective factors on the index evaluation.Compared with the optimization scheme based on non-dominated sorting genetic algorithm(NSGA),the selected MOPSO presentes better optimization results and convergence performance in multi-objective optimization.The compensation capacity optimization scheme of grid-connected inverter has good economy and can more accurately meet the power quality customization requirements.