基于状态空间模型的仿生算法在电力市场竞价中的应用  

Bionic Algorithm Based on State-space Model with Application in Bidding for Power Market

作　　者：符宏艳[1] 李茂军[1] 

机构地区：[1]长沙理工大学电气与信息工程学院,湖南长沙410076

出　　处：《计算技术与自动化》2009年第2期81-84,共4页Computing Technology and Automation

基　　金：湖南省教育厅重点科研项目(05A018)

摘　　要：提出一种基于状态空间模型的新型仿生算法(SBA),并用于求解电力市场竞价问题。SBA将仿生算法的群体表示为状态向量,通过状态转移实现群体的繁殖和更替,基于仿生算法中新个体的生成策略(如遗传算法中的遗传算子)构造状态转移矩阵,通过评价状态转移矩阵的特征值来考察算法的收敛性和收敛速度。仿真实验表明:这种算法对于解决电力市场竞价问题是有效的。A new bionic algorithm based on state- space model （SBA） is proposed, and is used to solve bidding problem of power market. In SBA the population such as bionic algorithm is expressed by state vector, and propagation and replacement of the population are implemented by state transfer, and state transition matrix is structured by strategy generating new individual in bionic algorithm, such as genetic operators of genetic algorithm. Convergence and computation time of the algorithm are evaluated through the characteristic value of state transition matrix. The simulation experiments indicate that SBA can effectively solve biddihg problem of power market.

关 键 词：状态空间模型 仿生算法 电力市场竞价 状态转移矩阵 

分 类 号：TM73[电气工程—电力系统及自动化]