【摘要】 由于粒子群优化算法在优化计算中存在早熟收敛,易陷入局部最优且搜索精度不高等缺点,在现有粒子群优化算法的基础上融合模拟退火算法对其进行改进,得到改进后的模拟退火粒子群优化算法,并将其应用到风光互补发电系统混合储能单元容量的优化配置中。优化结果表明,在满足负荷用电的前提下,该算法可有效降低储能单元的投资成本和运行费用,从而证明了算法的正确性。更多还原

【Abstract】 For the purpose to solve the problem that the standard PSO has disadvantages such as earliness,easilytrapped in local best and low searching precision,the improved simulated annealing particle swarm optimization(SAPSO)algorithm were proposed based on particle swarm optimization algorithm that fusing simulated annealingalgorithm,and which is applied to capacity optimization of hybrid energy storage units in wind/solar generation system.The optimization results showed that the algorithm can effectively reduce improve ment of the investment and operationcost of hybrid storage unit under the prerequisite for satisfying the load demand,and the correctness and validity of theproposed algorithm was demonstrated.更多还原