基于改进粒子群算法的微电网优化运行

为提高含分布式发电的微电网运行水平,应用基于混沌-模拟退火思想的粒子群算法对微电网的运行进行优化。针对微电网中各分布式电源特性,建立微电网的数学模型,建立了以运行成本和环境效益等运行指标最优为微电网优化运行的目标函数,并应用基于混沌算法结合模拟退火思想的改进粒子群优化算法对微电网多目标优化运行问题进行求解,得到微电网的最优运行方式。采用改进粒子群优化算法对某微电网进行24 h优化运行算例分析,结果表明该方法具有更好的寻优能力和更快的收敛速度。

Optimizing micro-grid operation based on improved PSO

One of the important problems in the development of micro grid is related with its operation optimization including multiple distributed generators(DG). To improve the operation level of the micro grid, the modified particle swarm optimization(PSO)algorithm based on chaos theory and simulated annealing algorithm is proposed in the paper. The mathematical model regarding optimal operation of micro grid is established incorporating different operation indexes of the distributed generators, in which the optimized object function is assumed to be correlated with operation indexes such as operation cost and environmental benefit. The modified PSO algorithm is used to solve the multi-objective problem, with the optimized operation of the mirco-grid with DGs being obtained. A case study regarding 24 hours operation of one mico-grid shows that, the modified PSO algorithm appears to have enhanced optimization ability and convergence rate.