基于人工免疫算法的配电网滤波器优化配置方法  

Optimal Filter Configuration for Distribution Network Based on Artificial Immune Algorithm

作　　者：李习武[1] 赵宏伟[1] 李娜[1] 沈小东[1] 王丽萍[1] 

机构地区：[1]中国人民解放军后勤工程学院,重庆市沙坪坝区401311

出　　处：《电网技术》2010年第5期104-108,共5页Power System Technology

摘　　要：现有滤波器优化配置方法普遍依据工程经验近似求得,优化程度较低,基于此,提出了一种基于免疫算法的配网无源滤波器优化配置方法。首先建立了系统各次谐波的节点导纳矩阵,采用网络固有结构法确定配电网络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优化滤波器参数,可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,使全网滤波器投资最少。算例结果表明了该方法的有效性。In general, the engineering experiences based approximate solution is applied to optimal configuration of filters, so the optimal degree is not satisfied. For this reason, an artificial immune algorithm based optimal configuration method of passive filters for distribution network is proposed. Firstly, a nodal admittance matrix of all orders of harmonics to be filtrated is built and by use of inherent structure of network the optimal collocating positions of harmonic filters in distribution network are determined; then the filter parameters are optimised by artificial immune algorithm under the precondition that the harmonic voltages at all nodes of distribution network and total rate of harmonic distortion can conform to the specification of harmonics as well as the secure and reliable operation of filters can be ensured, and the investment for the filters of the whole network is minimized. Results of calculation example show that the artificial immune algorithm is effective.

关 键 词：配电网 滤波器优化配置 网络固有结构法 人工免疫算法 谐波电压畸变 

分 类 号：TM73[电气工程—电力系统及自动化]