电力系统保护与控制Issue(9)：95-100,6.
基于改进遗传算法电力系统仿真软件间模型参数转换研究
Model parameter conversion between power system software based on IGA
叶青 1朱永强 1李红贤1
作者信息
- 1. 华北电力大学电气与电子工程学院，北京 102206
- 折叠
摘要
Abstract
The disunity of model structure and parameter of existing power system commercial software makes the existence of a large amount of heterogeneous data sources and the difficulty of data exchange between software. To solve this problem, a model parameter conversion method based on improved genetic algorithm (IGA) is proposed. By analyzing the differences of model structure and parameter design, model parameter conversion between power system software is realized. Parameter conversion of dynamic model in PSASP based on IGA method is done during the import process of BPA simulation data of IEEE 39-bus system example into PSASP. Simulation calculation is conducted using the conversion result, whose result is consistent with that of BPA simulation. The consistence verifies the effectiveness of parameter conversion of dynamic model in power system simulation software using the proposed method which in addition improves the accuracy of data exchange between power system simulation software.关键词
改进遗传算法/电力系统仿真软件/BPA/PSASP/模型参数转换Key words
improved genetic algorithm/power system software/BPA/PSASP/model parameter conversion分类
信息技术与安全科学引用本文复制引用
叶青,朱永强,李红贤..基于改进遗传算法电力系统仿真软件间模型参数转换研究[J].电力系统保护与控制,2015,(9):95-100,6.
