考虑经济性评估的MMC型UPQC优化分配控制方法  

Research on Optimal Allocation Control Strategies for MMC-UPQC by Considering Economical Evaluation

作　　者：陆晶晶 肖湘宁 张剑 

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),北京102206

出　　处：《现代电力》2015年第2期36-42,共7页Modern Electric Power

基　　金："十二五"国家科技支撑计划重大项目(2011BAA01B02);中央高校基本科研业务费专项资金(12QN37)资助项目

摘　　要：新能源的接入导致非线性负载日益增加,进而引发配电网负荷端待补偿容量超出模块化多电平换流器型统一电能质量控制器(MMC-UPQC)并联侧补偿能力的问题。本文针对上述情况提出了两种对无功、负序及谐波电流补偿分量的优化再分配控制方案,即侧重优先治理的优先级分配控制方案和侧重综合治理的自适应惩罚遗传算法多目标优化分配控制方案,将电能质量事件平均经济损失的量化指标分别作为方案一优先级选定的标准及方案二中的权重系数。PSCAD/EMTDC环境下的仿真结果表明,两种方案均能在MMC-UPQC容量受限情况下对负荷端电流电能质量问题提供优化补偿。The integrating of new energy and the increasing application of non-linear loads cause such phenomenon that the capacity compensated in load side exceeds the parallel compensation capability of unified power quality conditioner for modular multilevel converter（MMC-UPQC）.In this paper,two optimized control schemes for compensating reactive power and negative sequence and harmonic current are proposed.One is the priority allocation control strategy that focuses on priority assignment,and the other is multi-objective optimized allocation control strategy based on self-adaptive penalty genetic algorithm that pays more attention on comprehensive compensation.The index to evaluate the average economic losses for power quality events are chosen as the standard for priority selection in scheme I and the weight coefficients in scheme II.In the PSCAD/EMTDC simulation environment,simulation results show that optimized compensations can be realized by both proposed optimized control strategies to improve current power quality under above MMC-UPQC limited situation.

关 键 词：统一电能质量控制器 模块化多电平换流器 经济性评估 优先级 自适应惩罚函数 遗传算法 

分 类 号：TM743[电气工程—电力系统及自动化]