重叠分解补偿阵的选择及对控制性能的影响  

Selection of Overlapping Decomposition Complementary Matrices and its Influence to Control Performance

作　　者：谢鑫[1] 李小华[1] 陈雪波[1] 

机构地区：[1]鞍山科技大学电子与信息工程学院,辽宁鞍山114044

出　　处：《控制工程》2006年第1期74-77,共4页Control Engineering of China

基　　金：国家自然科学基金资助项目(60074002);辽宁省教育厅重大基础研究资助项目(202192057)

摘　　要：在大系统包含原理的框架下,提出了一种新的重叠结构分解补偿阵的选择方法,并分析了不同补偿阵对互联系统控制性能的影响。新方法根据补偿阵的选择条件,将补偿阵应满足的基本约束转化为对补偿阵中矩阵子块的约束,然后按照控制要求利用遗传算法对补偿阵进行优化。将该补偿阵选择方法应用于两区域重叠互联电力系统的自动发电控制(AGC)中,仿真结果表明,在设计时采用该方法选择的补偿阵使系统的分散AGC较传统选择方法具有更好的性能指标。A new strategy for choosing overlapping decomposition complementary matrices is presented in the framework of the inclusion principle, and the influence of different complementary matrices to control performances is analyzed. Based on inclusion conditions, the complementary matrices are transformed into the form of sub-blocks. And the genetic algorithm is adopted to optimize the complementary matrices according to control requirements. The strategy is applied to automatic generation control （AGC） of the two-area overlapping interconnected power system. The simulation results show that the complementary matrices chosen by this method can generate a better performance index of decentralized AGC than by traditional method.

关 键 词：包含原理 重叠结构分解 遗传算法 自动发电控制(AGC) 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]