摘要
针对一类互联电力系统在线扩容时的自动发电控制(AGC)设计,采用动态输出反馈和遗传算法提出了一种能保证扩容后系统在拓扑结构突然改变时稳定运行的结构自愈优化控制方法。这种方法通过对扩容系统的建模,采用线性矩阵不等式方法设计了使其结构稳定的鲁棒分散控制器,并用遗传算法优化了问题求解中的相关参数,避免了设计中参数选择的盲目性。在优化过程中选取了综合评价系统时域响应性能的适应度函数来优化控制器设计中的互联约束矩阵,达到了改善系统性能指标的目的。文中针对一类互联电力系统模型进行了仿真研究,考虑在原区域电力系统的基础上在线增加一个新的区域,对新区域的自动发电控制律采用所提出方法进行了设计,仿真结果表明该方法达到了扩容后系统稳定的结构自愈控制要求,且采用遗传算法优化后的系统性能明显优于优化前的,证明了该方法的有效性。
Aiming at automatic generation control （AGC）design of a class of interconnected power sys-tems when the expansion is done on line,an optimized self-healing control method,which can guarantee the expanded system to steady run when the topological structure is changed suddenly,is proposed by a-dopting dynamic output feedback and genetic algorithm.By means of modeling to the expansion system, the robust decentralized controller keeping the system structure to be stable is designed by using LMI method.Genetic algorithm is used to optimize the related parameters emerged in the process to solve,and the blindness to choose the parameters is avoided.In the optimal process,the fitness function evaluating synthetically the time domain response performance is chosen to optimize the interconnected constraint matrix in the design.The performance indexes of the system are improved.The simulation research is done against a kind of interconnected power system model.Consider a new area subsystem is add to origi-nal system on line,the automatic generation control law of the new area is designed by using the proposed method.The simulation results show that the proposed method reaches the self-healing control request, which the structure of the expansion system is stable.The control performances optimized by genetic algo-rithm are better than the before,and the effectiveness of this method is proved.
出处
《中山大学学报（自然科学版）》
CAS
CSCD
北大核心
2014年第6期140-145,共6页
Acta Scientiarum Naturalium Universitatis Sunyatseni
基金
国家自然科学基金资助项目(61273011)
