基于进化策略的多机系统PSS参数优化

该文提出了一种基于进化策略的多机系统PSS参数优化的新方法。在这种方法中，目标函数设定为度量所有机电振荡模态性能的函数，将PSS的参数优化表示为带不等式约束的非光滑优化问题。进化策略用于该优化问题的求解，从而找出PSS的优化参数。进化策略属现代全局优化方法的一种，它对优化问题本身几乎无任何限制，冈其具有全局寻优能力，故可得到比常规优化方法更好的结果。且进化策略直接采用实型编码，因而可提高优化计算的效率。Anderson 3机系统和New England 10机系统的仿真结果表明，该方法是一种有效的参数优化方法，得到的优化参数对系统运行方式的变化具有良好的鲁棒性。

PARAMETER OPTIMIZATION OF MULTI-MACHINE POWER SYSTEM STABILIZERS USING EVOLUTIONARY STRATEGY

A new method based on evolutionary strategy (ES) for optimal design of multi-machine power system stabilizers (PSS) is presented in this paper. The proposed approach formulates the design problem as a nonsmooth optimization problem. An objective function for measuring the performance of all electromechanical modes is proposed. In order to find optimal settings of PSS parameters, ES is employed to solve the optimization problem. As a kind of global search method, ES almost has no limitations on the optimization problem. Because of the capability of searching in global space, ES can gain better result than the conventional methods. In addition, as it operates directly on floating-point data, the ES greatly improves computation efficiency. The proposed method is tested on two systems: Anderson's 3-machine system and New England 10-machine system. All simulation results show the effectiveness of the proposed optimization method, and the optimized parameters possess good robustness on variation of loading conditions and system configurations.