基于PPSO的能源局域网优化调度方法

在能源局域网的系统安全稳定运行的前提下,考虑风、光、储等分布式可再生能源发电源及电动汽车等随机负荷并网,以能源局域网的最低综合经济运行成本为目标,建立了包含电动汽车的能源优化模型。提出了一种改进的分段粒子群算法(PPSO),通过仿真实验证明了该方法在包含电动汽车等随机负荷的多能互补的能源局域网中,能够快速收敛得到最优的运行方案,显著降低了能源局域网的整体运行成本。

Under the premise of the safe and stable operation of the energy local network system,consider the grid connection of distributed renewable energy sources such as wind,solar,and storage,and random loads such as electric vehicles,and aim at the lowest comprehensive economic operation cost of the energy local network.An energy optimization model including electric vehicles is presented.An improved segmented particle swarm optimization(PPSO)is proposed.Simulation experiments prove that the method can quickly converge to obtain the optimal operation plan in a multi-energy complementary energy local area network containing random loads such as electric vehicles,and significantly reduce.