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分布式发电系统中无源滤波器的多目标优化 被引量:1

Multi-Object Optimization of Passive Filter in Distributed Generation System
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摘要 分布式电源接入系统多通过电力电子逆变器,会向系统注入谐波,影响电能质量。为抑制DG注入系统的谐波,建立了滤波器多目标数学优化模型,将滤波后电网谐波含量、无源滤波器的初期投资、无功功率补偿容量作为三个目标,并利用多目标遗传算法对无源滤波器的参数进行优化设计。算例表明,加装滤波装置对分布式电源注入系统的谐波有明显的改善,所提出的多目标模型有着一定的现实指导意义。 Distributed generation (DG) connected to system always through power electronics inverters, which may inject harmonic currents to the distribution system. To suppress harmonic, the mathematical optimization model of multi-objective passive power filter is established, which takes the harmonic component,original investment, and the capacity of reactive power compensation as three objectives. To solve the problem, Multi-objective genetic algorithms is used. A practical example shows that the filter devices can obviously improve the harmonic injected to the system by the distributed generators. This also shows that the multi-objective model has a certain realistic guiding significance.
出处 《电力系统及其自动化学报》 CSCD 北大核心 2009年第5期75-80,共6页 Proceedings of the CSU-EPSA
关键词 分布式发电 谐波畸变 滤波器 多目标遗传算法 distributed generation harmonic distortion filter multiple object genetic algorithm
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