电网技术2017，Vol.41Issue(2)：508-513,6.DOI:10.13335/j.1000-3673.pst.2016.1361
基于电网运行数据集的发电机励磁系统调差系数优化整定
Setting Optimization of Generator Excitation Adjustment Coefficient Based on Power Grid Operation Data Set
刘柏林 1徐兴伟2
作者信息
- 1. 华北电力大学电气与电子工程学院，北京市昌平区 102206
- 2. 东北电网有限公司，辽宁省沈阳市 110181
- 折叠
摘要
Abstract
This paper proposes an optimal setting method of ESAC (excitation system adjustment coefficient) based on power grid operation data set. By means of self-organizing feature mapping neural network, typical grid operation modes and occurrence probability are obtained based on the operation data set.On this basis, influences of different values of ESAC on power grid are analyzed, and generator ESAC is optimized. Simulation results of Jilin provincial power grid show that with the proposed method network loss is reduced, power grid voltage level isimproved and voltage fluctuation is decreased at the same time, while operating characteristics of both load and renewable power generation are fully considered.关键词
自组织特征映射/励磁系统调差系数/电网运行数据集Key words
self-organizing feature mapping/excitation system adjustment coefficient/power grid operation data set分类
信息技术与安全科学引用本文复制引用
刘柏林,徐兴伟..基于电网运行数据集的发电机励磁系统调差系数优化整定[J].电网技术,2017,41(2):508-513,6.
