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现存电力系统各商业软件的数据格式不统一,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,提出基于PSO_GA算法电力系统仿真软件BPA到PSASP数据转换的方法,通过分析BPA、PSASP仿真软件中元件模型、控制模型的差异性,建立对应模型间的转换关系以及智能优化算法(PSO_GA)的目标函数及相关约束。利用PSO_GA混合优化算法修正目标转换软件中各模型的参数值,以实现电力系统仿真软件BPA到PSASP数据转换。通过IEEE 43节点的系统算例对BPA向PSASP数据转换过程进行了验证,证明了该方法对电力系统仿真软件数据转换的有效性,并能提高数据转换的准确度和算法的运行速度。
The data format of the various commercial softwares of the existing power system is not uniform, which results in the existence of a large number of heterogeneous data sources and the difficulty of data exchange between simulation softwares. In order to solve this problem, a method based on PSO_GA algorithm for power system simulation software BPA to PSASP was proposed. By analyzing the difference between component model and control model in BPA and PSASP simulation software, the transformation relations between corresponding models and the intelligent optimization algorithm ( PSO_GA) and related constraints. The PSO_GA hybrid optimization algorithm is used to correct the parameter values of each model in the target conversion software to convert the power system simulation software BPA to PSASP data. The IEEE 43-bus system example is used to validate the BPA-to-PSASP data conversion process, which proves the effectiveness of the proposed method in power system simulation software data conversion and improves the accuracy of data conversion and the speed of the algorithm.