摘要
为了取得更有效的最优解,在量子粒子群优化算法的基础上,结合准随机Sobol序列,提出基于Sobol随机扰动平均位置的量子粒子群算法。分析电力系统经济调度的数学模型,采用罚函数处理模型中的约束条件,给出求解电力系统经济调度问题的算法步骤。通过对15个机组的数值仿真表明,该算法在收敛精度和迭代速度上有较好的效果。
In order to obtain the optimal solution,we combined with the quasi-random Sobol sequence to introduce the new quantum-behaved particle swarm optimization,which is based on the Sobol sequence disturbances to perturb the average position.On the analysis of the mathematical model of electric power economic dispatch,we handled constraints with penalty functions to solve economic dispatch problem of power system,and the algorithm steps for solving the economic dispatch problem were given.Then we applied this algorithm to a 15-unit system,the experimental results indicated that the algorithm is of high speed,high accuracy and good convergence.
出处
《计算机与现代化》
2013年第9期195-198,共4页
Computer and Modernization
基金
西安航空职业技术学院2012年度自选科研计划项目(12XK-ZL002)
关键词
量子粒子群
经济调度
随机序列
quantum-behaved particle swarm optimization
economic dispatch
random sequence
