Optimal configuration of multitype energy storages considering heterogeneous flexible loads

doi:10.19799/j.cnki.2095-4239.2022.0395

Abstract

Abstract:

Coordinated optimization of flexible loads and multitype energy storages is a key strategy to achieve a power balance in the system. With large-scale flexible loads widely connected to the grid and participating in demand-side response, the heterogeneous characteristics of flexible loads make them difficult to adapt to the large-scale regulation demand of the grid and prevent them from exploring the full potential for regulation. Accordingly, this study proposes an optimal configuration strategy for multitype energy storages considering flexible heterogeneous loads and establishes a generalized model to match load characteristics and grid regulation demands using clustering flexible heterogeneous loads. First, according to the differentiated power consumption curve and regulation potential of flexible heterogeneous loads, the typical heterogeneous loads are clustered into transferable, cuttable, and adjustable loads with the corresponding generalization model. Accordingly, the coordinated optimization strategy of flexible heterogeneous loads and multitype energy storages is proposed. Meanwhile, with the optimization objective of total system-operating cost considering the cost of generations, grid, energy storages, and loads, the optimal configuration of multitype energy storages is achieved by mixed integer linear programming. Finally, the feasibility and validity of the proposed coordinated optimization strategy are verified using a comparative analysis of cases. Compared with flexible loads or energy storages participating in system regulation alone, coordinated optimization of flexible loads and multitype energy storages can achieve a power balance of regional grids, reduce system operating costs, and enhance grid economic benefits.

Key words: flexible loads, heterogeneous loads clustering, multi-type energy storages, MILP

CLC Number:

TM 732

Zhicheng MA, Qiang ZHOU, Jinping ZHANG, Dingmei WANG, Pengfei GAO. Optimal configuration of multitype energy storages considering heterogeneous flexible loads[J]. Energy Storage Science and Technology, 2022, 11(12): 3926-3936.

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	参数	额定功率/MW	运行区间/MW
发电侧	火力发电机组	270	[162，270]
	风力发电	63	[0，P_N ]
	光伏出力	54	[0，P_N ]
负荷侧	可转移负荷	82	[0，P_N ]
	可削减负荷	53	[0.7×P(t)，P(t)]
	可调节负荷	52	[0.7×P(t)，1.3×P(t)]

参数	锂离子电池	压缩空气储能	超级电容
配置储能额定功率最小值/MW	30^[28]	60^[28]	10^[28]
配置储能额定功率最大值/MW	80^[28]	200^[28]	50^[28]
使用年限/年	10^[25]	30^[25]	30^[25]
比例系数η_S，_i	4	10	0.05
初始SOC	0.5	0.5	0.5
SOC范围	[0，1]	[0，1]	[0，1]
建设成本/[元/(MW·d)]	240	800	1096
运维成本/(元/MW)	60	35	20

储能类型	额定功率 /MW	额定容量 /MWh	建设成本 /(万元/天)	运维成本 /(万元/天)
锂离子电池	80	320	1.92	1.15
压缩空气储能	92	920	7.34	3.89
超级电容	0	0	0	0

储能类型	额定功率 /MW	额定容量 /MWh	建设成本 /(万元/天)	运维成本 /(万元/天)
锂离子电池	30	120	0.72	0.72
压缩空气储能	98	980	7.91	4.15
超级电容	0	0	0	0

算例	减碳成本/(万元/天)	火电成本/(万元/天)	需求响应成本/(万元/天)	储能成本/(万元/天)	综合运行成本/(万元/天)
算例1	242.42	132.23	3.69	0	492.33
算例2	242.14	132.08	0	14.3	388.52
算例3	230.33	125.64	7.52	13.5	376.98