直流微网蓄电池-SMES混合储能系统容量配置方法

doi:10.3969/j.issn.2097-0706.2023.09.008

摘要/Abstract

摘要：

配置混合储能系统（HESS）可以有效减轻光伏发电输出功率波动性对直流微网的安全可靠运行带来的不利影响。为了更好地利用超导磁储能（SMES）响应速度快、功率密度高、效率高、可以无损储存电能等优点，基于与蓄电池组合而成的HESS的互补特性提出了以提高HESS经济性为目标的能量管理策略。对蓄电池-SMES HESS建立系统全生命周期成本（LCC）模型及其约束条件。对HESS进行容量优化配置可以有效降低系统成本，在满足系统功率要求的前提下，将最小LCC作为目标函数，通过引入加速因子的粒子群算法对系统容量进行配置，并结合算例建立微网模型，验证所提容量配置策略的有效性。

关键词: 光伏发电, 直流微网, 混合储能系统, 超导磁储能, 容量配置, 蓄电池

Abstract:

The configuration of a hybrid energy storage system（HESS） can effectively mitigate the adverse effects of PV power output volatility on the safe and reliable operation of a DC microgrid. In order to make better use of the advantages of superconducting magnetic storage（SMES），such as fast response，high power density，high efficiency and the ability to store electricity without energy loss，an energy management strategy is proposed based on the complementarity of a HESS in a battery pack，to improve the economy of HESSs. Then， life cycle cost（LCC）model and its constraints are proposed. The capacity optimization configuration of the HESS can effectively reduce its system cost. Under the premise of satisfying the power requirements on the system，with the LCC as the objective function， the configuration of the HESS is obtained by particle swarm optimization with acceleration coefficients. The effectiveness of the proposed capacity allocation strategy is verified by a case in a microgrid.

Key words: photovoltaic power generation, DC microgrid, hybrid energy storage system, superconducting magnetic energy storage, capacity configuration, battery

中图分类号:

TK01

乔力晖, 李明澈, 张睿, 方宗杰. 直流微网蓄电池-SMES混合储能系统容量配置方法[J]. 综合智慧能源, 2023, 45(9): 59-64.

QIAO Lihui, LI Mingche, ZHANG Rui, FANG Zongjie. Capacity configuration method for a battery-SMES hybrid energy storage system in a DC microgrid[J]. Integrated Intelligent Energy, 2023, 45(9): 59-64.

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项目	蓄电池	SMES
额定电压/V	200	1 200
额定容量/(A⋅h)	50.0	2.5
充电效率	0.80	0.99
放电效率	0.80	0.99
放电深度	0.8	—
运行系数	0.10	0.01
维护系数	0.02	—
循环次数	1 500	—
处理系数	0.08	0.02

优化参数	配置结果
蓄电池/个	388 640
SMES/个	41 360
f_LPSP	0.036 1
最小成本/元	1 647 200

优化参数	配置结果
蓄电池/个	348 470
SMES/个	19 910
f_LPSP	0.036 0
最小成本/元	1 470 700

优化参数	c₁≤2，c₂>2	c₁>2，c₂≤2
蓄电池/个	336 580	347 590
SMES/个	17 910	16 010
f_LPSP	0.036 1	0.036 0
最小成本/元	1 420 100	1 465 700