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基于隶属度函数的无源滤波补偿器协调优化研究 被引量:4

Research on coordinative optimization of passive filter based on membership function
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摘要 工业配电网中含有大量非线性设备造成了无功功率缺额与谐波,而无源滤波补偿装置的设计主要依赖工程经验,存在过补偿和经济成本较高的问题。提出一种多目标优化筛选的参数计算方法。在分析滤波装置及工业负荷特性的基础上,考虑无功补偿效果、滤波性能和投入费用,对各滤波支路安装补偿容量与滤波电抗比进行优化配置,构建了无源滤波装置多目标协调优化模型;采用多目标粒子群算法(MOPSO)求解,并引入隶属度函数综合目标,筛选最优方案。同时,针对优化计算流程开发了配套软件系统。经验证,对比某一电解槽配电网无源滤波装置设计的经验方案和优化方案,优化方案将功率因数准确维持在0.96~0.98,谐波含量和投入成本比经验方案分别降低了26.9%和3%。研究结果降低了无源滤波器设计难度与制备成本,为工业配电网提供更精确的无功功率补偿和更有效的谐波抑制。 A large number of nonlinear devices deteriorate the power quality of the industrial distribution network through reactive power shortage and harmonics. The passive filter design mainly depends on the substantial engineering experience,which makes over compensation and high cost. To deal with these problems,a novel calculation method is proposed for multi-objective optimization compromising filter parameters. Based on the analysis of passive filter and the industrial loads; considering the reactive power compensation,filtering performance and the filter branches cost,the reality compensation capacity and filter reactance ratio is optimized.The multi-objective coordinative optimization model of the passive filter is solved with multi-objective particle swarm optimization(MOPSO). The membership objective function is introduced to select the optimal solution. Meanwhile,the supporting software system has been developed for the optimization design process. It is proved through a distribution system with the electrolyzer that the proposed optimization scheme maintains the power factor at 0. 96 ~ 0. 98. Compared with the experience scheme,the harmonics and cost are reduced by 26. 9% and 3%,respectively. The research results reduce design difficulty and the cost of the passive filter. The proposed method canprovide more precise reactive power compensation and more effective attenuation of harmonics to the distribution network.
作者 金立军 程逸帆 侯珂 李水清 Jin Lijun;Cheng Yifan;Hou Ke;Li Shuiqing(College of Electronics and Information Engineering,Tongji University,Shanghai 201804,China;Chint Eiectric Co.,Ltd.,Shanghai 201614,China)
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2018年第5期89-98,共10页 Chinese Journal of Scientific Instrument
基金 国家自然科学基金(51577135)项目资助
关键词 无源滤波器 无功补偿 谐波抑制 多目标协调优化 隶属度函数 passive filter reactive power compensation harmonic suppression muhi-objective coordination optimization membershipfunctions
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