基于混合算法的配电网中电池储能的多目标优化配置研究

基于随机会约束规划理论,计及系统的不确定性因素提出配电网储能电站多目标选址定容模型。首先分析配电网的经济性和可靠性特征,接着基于随机机会约束规划建立储能电站的优化模型。采用二进制粒子群算法和改进粒子群算法的混合算法对模型进行求解。最后利用研究模型,结合IEEE 33标准节点系统建立配电网储能电站优化算例,对离网模式和并网模式2种模式进行仿真,对优化配置结果进行对比和分析。

RESEARCH ON MULTI-OBJECTIVE OPTIMAL CONFIGURATION OF BATTERY ENERGY STORAGE IN DISTRIBUTION NETWORK BASED ON HYBRID ALGORITHM

Based on the theory of random constrained programming and considering the uncertain factors of the system, a multi-objective location and capacity model for energy storage power stations in the distribution network is proposed. First, the economic and reliability characteristics of the distribution network are analyzed, and then the optimization model of the energy storage power station is established based on random chance constraint programming. The binary particle swarm algorithm and the hybrid algorithm of improved particle swarm algorithm are used to solve the model. Finally, according to the research model which is established, combined with the IEEE 33 standard node distribution network system, a optimization configuration example of the energy storage power station in the distribution network is established, and the two modes of off-grid mode and grid-connected mode are simulated, and the optimized configuration results are compared and analyzed.