配电网无源滤波器的优化配置  被引量:16

Optimal Configuring of Passive Filters in Distribution Network

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作  者:王艳松[1,2] 刘军[2] 李中树[2] 

机构地区:[1]中国石油大学信息与控制工程学院,东营257061 [2]胜利石油管理局电力管理总公司,东营257061

出  处:《高电压技术》2010年第9期2324-2328,共5页High Voltage Engineering

摘  要:为了治理多谐波源对配电网电能质量的污染,研究了无源滤波器在配电网的优化配置。综合考虑投资费用、电压畸变率和谐振条件建立了无源滤波器优化配置的数学模型,该模型是一含约束、不可微、非线性的规划模型。运用导纳矩阵的灵敏度因子寻找配电网中各次谐波滤波器的最佳配置位置,然后采用人工免疫算法对滤波器的参数进行寻优。在保证网络各节点谐波电压和总谐波畸变率符合谐波标准以及滤波器安全可靠运行的前提下,使得全网滤波器的投资费用最少。研究表明,该方法能有效地抑制网络中各节点谐波电压畸变,提高了配电网电能质量,并通过与遗传算法比较,得出免疫算法能避免陷入局部最优。To control the pollution of power quality caused by multi-harmonic sources in distribution network,we optimized the layout of passive filters in distribution network.By taking all factors into consideration,including investment cost,harmonic distortion,and resonance condition,we established a mathematical model of the optimizing configuration of passive filters.This model was a constraint,non-differentiable and non-linear planning model.After finding the optimized layout places of harmonic filters in distribution network through sensitivity matrix,the parameters of filters were optimized using artificial immune algorithm.The investment cost of all the filters was minimized on the premise that the harmonic voltages of all the nodes comply with the harmonic standards and all the filters operate in a safe and reliable state.The results show that this method can control the harmonic voltage distortion and improve the power quality efficiently in distribution network.By comparing genetic algorithm with artificial immune algorithm,we conclude that the latter can avoid the local optimization.

关 键 词:配电网 无源滤波器 导纳矩阵 免疫算法 电压谐波含有率 电压总谐波畸变率 

分 类 号:TM727[电气工程—电力系统及自动化]

 

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