协同电力系统仿真平台的混合仿真技术研究及应用

目前，数据和运算密集型的高级人工智能计算技术发展迅速，而电力系统仿真和分析平台并不容易扩展人工智能技术的应用。文章基于大规模电力系统仿真分析软件平台(PSASP),附加扩展非支配排序遗传算法(NSGA-II),实现复杂电力系统中多个电力系统稳定器(PSS)控制参数的多目标协调优化算法技术。实现过程中提出了PSASP-MATLAB混合仿真技术，设计了考虑多机PSS的鲁棒性和稳定性的多目标综合优化函数，混合编程实现了PSASP平台暂态仿真过程与MATLAB平台NSGA-II算法交互连接。针对多机和多运行方式的复杂EPRI 36节点算例，应用文中技术求解的PSS全局优化控制参数，抑制振荡的能力优于传统优化方法，且在多种运行方式下具有良好的鲁棒性。

Research and Application of Hybrid Simulation Technology for Collaborative Power System Simulation Platform

At present, data and operation-intensive advanced artificial intelligence computing technology is developing rapidly, but power system simulation and analysis platforms are not easy to expand the application of artificial intelligence technology. This paper is based on the large-scale Power System Analysis Software Package (PSASP), and additional extends Non-dominated Sorting Genetic Algorithm (NSGA-II), which is able to implement multi-objective parameters coordination optimization of multiple Power System Stabilizer (PSS) in complex power systems. In the implementation process, there proposes PSASP-MATLAB hybrid simulation technology and designs a multi-objective comprehensive optimization function considering the robustness and stability of multi-machine PSS. Then hybrid programming realizes the interactive connection between PSASP platform transient simulation process and NSGA-II algorithm within MATLAB platform. For complex EPRI36 node examples with multiple machines and multiple operating modes, the PSS global optimization control parameters solved by the proposed technique are better than traditional optimization methods in suppressing oscillations, and have good robustness in multiple operating modes.