基于老化成本实时次梯度的异构储能系统功率分配策略OA北大核心CSTPCD
Power Allocation Strategy for Heterogeneous Energy Storage System Based on Real-time Subgradients of Aging Cost Function
随着锂离子电池的商业化推广和混合储能技术的发展,规模化储能系统可能存在异构特性.组成异构储能系统的储能单元之间存在差异,对储能系统内部功率分配提出更高的要求.为降低异构储能系统运行过程中的老化成本,首先,给出基于循环的老化模型用于计算不同储能单元老化成本;然后,提出一种无差在线雨流计数法实现功率与循环映射关系的实时更新,并使用链式法则得到储能系统老化成本关于充放电功率的实时次梯度,基于次梯度计算功率分配权重;最后,提出一种基于分配权重的功率迭代分配算法,考虑储能单元的功率边界和荷电状态边界.对分期建设的储能系统参与二次调频的场景进行仿真,结果表明,所提策略相比常用的两种功率分配方法(基于最大功率和基于剩余能量的分配策略)能够分别降低8.08%和10.34%的老化成本.
With the promotion of lithium-ion batteries and the development of hybrid energy storage technologies,the difference of energy storage units in the energy storage system becomes more and more significant,which puts forward challenges for power allocation.In order to reduce the aging cost of energy storage systems during operation,this paper proposes a power allocation strategy based on the cycle-based aging feature of each energy storage unit to reduce aging costs.An online rainflow counting method is proposed for real-time updating of power-cycle mapping relationships,then the real-time subgradients of the aging cost with respect to charging and discharging power are obtained by using the chain rule of differentiation.The reciprocal of real-time subgradients is used as power allocation weight to achieve equalizing aging costs of energy storage units.A transferrable power allocation algorithm is further developed,which allocates power according to weights while considering power limits and the state of charge(SOC)boundary of energy storage units.In an energy storage system participating in secondary frequency regulation,the proposed strategy can reduce the aging cost by 8.08%and 10.34%,respectively,compared with two commonly used power allocation methods(based on maximum power and residual energy).
刁锐;胡泽春;钱伟杰;刘维亮;宋永华
清华大学电机系,北京市 海淀区 100084国网浙江省电力有限公司嘉兴供电公司,浙江省嘉兴市 314033智慧城市物联网国家重点实验室(澳门大学),中国澳门特别行政区 氹仔 999078
动力与电气工程
电池储能系统功率分配老化成本雨流计数法实时次梯度
battery energy storage systempower allocationaging costrainflow countingreal-time subgradient
《中国电机工程学报》 2024 (022)
8884-8896,中插16 / 14
国家重点研发计划项目(2022YFB2403000);国家电网有限公司科技项目(5419-202199514A-0-5-ZN). National Key R&D Program of China(2022YFB2403000);Science and Technology Project of State Grid Corporation of China(5419-202199514A-0-5-ZN).
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