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

现存电力系统各商业软件的模型结构和参数不统一,造成了大量异构数据源的存在,仿真软件间的数据交互困难。为解决该问题,提出了基于改进遗传算法(IGA)的模型参数转换方法。通过分析数据交互仿真软件的模型结构及参数设计的差异性,实现了电力系统仿真软件间的模型参数转换。在将IEEE 39节点算例的BPA仿真数据导入PSASP软件的过程中,基于改进遗传算法对PSASP中的动态模型进行了参数转换。并利用转换结果进行仿真计算,其结果与BPA软件的仿真结果基本一致。验证了该方法对电力系统仿真软件动态模型参数转换的有效性,并提高了电力系统仿真软件间数据交互的准确度。

Model parameter conversion between power system software based on IGA

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.