基于退役电池的多目标容量优化配置

Multi Objective Optimal Capacity Allocation Based on Decommissioned Batteries

近年来随着新能源技术的快速发展,微电网技术在轨道交通领域的应用不断深化。为了解决微电网间接性和波动性的问题,增加企业效能,将退役电池梯次利用到微电网中,建立了退役电池容量配置模型。该系统将适当容量的退役电池安装在微电网负荷侧,以负荷波动性最小及退役电池成本最低为目标函数进行容量配置,利用粒子群算法对模型进行求解。通过研究表明,当系统加入退役电池后,整个系统的弃风弃光量明显减少,并且联络线上的功率得到了降低,该模型可作为多源供电体系架构的一部分在不同用电场景进行应用。

In recent years,with the rapid development of new energy technology,the application of micro-grid technology in the field of rail transit has been deepening.In order to solve the incoherence and volatility of micro-grid and increase the efficiency of enterprises,this paper uses decommissioned batteries to step into micro-grid and establishes the capacity configuration model of decommissioned batteries.In this system,decommissioned batteries with appropriate capacity are installed on the load side of micro-grid,and capacity configuration is carried out by taking the minimum load fluctuation and the minimum cost of decommissioned batteries as the objective function.Particle swarm optimization algorithm is used to solve the model.The research shows that when the decommissioned battery is added to the system,the amount of wind and light abandonment of the whole system is significantly reduced,and the power of the contact line is reduced.The model can be used as a part of the multi-source power supply system architecture in different scenarios.