基于计算智能的多个阻尼控制器协调设计

对电力系统中多个FACTS阻尼控制器之间以及与电力系统稳定器之间的协调设计进行研究，提出序优化和遗传算法相结合的智能计算方法解决阻尼控制器参数的鲁棒最优整定。根据矩阵的迹和其特征值的关系提出一种易于计算的近似目标函数，利用序优化方法评估对比各个解之间的优劣。遗传算法中个体的适应度由序优化方法排序确定，并给出线性排序选择算子，可以大大加速评估和选择的过程，减少计算量，提高效率。给出了基于智能计算方法协调设计多个阻尼控制器的流程．对新英格兰系统的仿真结果验证了设计方法的有效性．

COORDINATED DESIGN OF MULTIPLE DAMPING CONTROLLERS BASED ON COMPUTATIONAL INTELLIGENCE

This paper presents a global tuning procedure for FACTS damping controllers and power system stabilizers in a multi-machine power system, based on computational intelligence combining ordinal optimization (OO) and genetic algorithms (GA). The main objective of this procedure is to simultaneously optimize parameters of multiple damping controllers in a robust manner. Considering the relation between the trace of a matrix and its eigenvalues, a criterion function is defined, which can be easily computed and utilized to evaluate the performance of solutions approximately. Thus the fitness of individuals in GA is determined based on ordinal comparison of performance using OO method. Together with linear ranking selection operator, it can dramatically shorten the search process with less computation burden and higher efficiency. The tuning procedure is applied to the well-known New England system and the simulation results validate the effectiveness and robustness of the coordinated design method presented. This project is supported by National Key Basic Research Special Fund of China (No. G1998020300).