基于改进粒子群算法的水电站中低压电网各设备谐波贡献度分析  

Analysis on Harmonic Contribution Degree of Various Equipments of Medium and Low Voltage Power Grid in Hydropower Station Based on Improved Particle Swarm Algorithm

作　　者：辛晟 陈昌明[2] 曾江[2] 余涛[2] 

机构地区：[1]南方电网调峰调频发电公司,广东广州510630 [2]华南理工大学电力学院,广东广州510640

出　　处：《广东电力》2014年第2期47-51,78,共6页Guangdong Electric Power

基　　金：国家重点基础研究发展计划(973计划)(2013CB228205);国家自然科学基金项目(51177051)

摘　　要：在现代水电站低压电网中,由于各种非线性负荷的应用日益增加,导致电网中存在大量谐波污染。为此,对粒子群算法进行改进,通过一个周期内的波形采样,分析出各种类型负荷在电网谐波中的贡献度。算例证明,该算法误差较小,计算结果比较理想,而且可以有效节省电能质量监测装置,在经济性、维护性上具有明显的优势。In modern low voltage power grid of hydropower station, for reason of increasing application of various nonlinear load, quantities of harmonic pollution is existing in power grid. Therefore, this paper discusses improvement of particle swarm algorithm which is to use wave sampling in one period to analyze contribution degree of various kinds of load in power grid harmonic. Examples prove that this algorithm is provided with advantages such as small errors and desired calculating results. Meanwhile, it is able to effectively save power quality monitoring devices which reflects obvious advantages in econ- omy and maitainability.

关 键 词：粒子群优化算法 电网 谐波 水电站 

分 类 号：TM715[电气工程—电力系统及自动化]