风、光、燃、储多源互补微电网的日优化运行

为了提高微电网经济运行水平,首先,针对粒子群算法前期容易早熟收敛的问题,提出了一种分段非线性惯性系数调整的方法,在此基础上,将Metropolis接受准则加入粒子群算法中,增加粒子跳出局部最优解的概率。采用改进算法及其相关的3种算法对4个基准函数作优化对比测试,验证了改进算法的有效性和可靠性。然后,以微电网发电成本最低和环境效益最优为目的,考虑了实际微网运行的约束条件,建立了包含有光伏阵列、风力发电机、微型燃气轮机、燃料电池、蓄电池的多源互补微电网日优化运行数学模型。最后,将改进算法与标准粒子群算法分别用于微网日运行优化模型求解,验证了采用改进算法能够使微网获得更佳的综合效益。

The Optimized Operation of Multi-source Complementary Microgrid Containing Wind, Photovoltaic, Gas turbine, Fuel cell and Storage

In order to improve the economic operation level of micro grid, firstly, a method of segmental nonlinear inertia coefficient adjustment was proposed to solve the problem of early premature convergence of particle swarm optimization. on this basis, the particle swarm optimization was combined with metropolis sample rule, it increased the probability of particles jumping out of the local optimal solution, the improved algorithm and its related three algorithms were used to optimize the four test functions and compared the results. verified the effectiveness and reliability of the improved algorithm. With the aim of minimizing the operating cost of micro-grid and optimization of environmental benefits, established a mathematical model for daily optimization of multi-source complementary micro grid which including photovoltaic array, wind turbine, micro gas turbine, fuel cell and battery. the improved algorithm and the standard particle swarm optimization algorithm are respectively used to solve the optimization model of micro-grid, it is verified that the improved algorithm can achieve better comprehensive benefits.