混合储能多目标容量优化配置

Multi-objective Optimal Capacity Allocation of Hybrid Energy Storage

针对蓄电池和超级电容混合储能系统的容量配置,提出了混合储能系统多目标容量优化配置模型,该模型以经济成本、供电可靠性、能量过剩和供需平衡为目标,以蓄电池的SOC、超级电容的端电压和最大功率为约束,同时考虑能量控制策略的影响,应用改进粒子群优化算法同时对蓄电池和超级电容的容量和功率进行设计,并通过仿真验证了所提多目标容量配置算法的快速收敛性和可靠性。

In this paper, a multi-objective optimal capacity allocation model is proposed for the capacity allocation of hybrid energy storage system consisting of storage battery and super capacitor. In this model, the objectives include economic cost, reliability of power supply, energy surplus, and balance between supply and demand, while the constraints include the state-of-charge（SOC） of storage battery, terminal voltage of super capacitor, and maximum power;meanwhile, the impact of energy control strategy is also taken into account. The capacity and power of the storage battery and super capacitor are synchronously designed using the improved particle swarm optimization（PSO） algorithm. Moreover, the fast convergence and reliability of the proposed multi-objective capacity allocation algorithm are verified through simulations.