Bi-level Capacity Optimization for Battery/Thermal Energy Storage System in Multi-energy Complementary Power Generation System

doi:10.11930/j.issn.1004-9649.202403093

Abstract

Abstract:

Multi-energy complementary power generation system can fully utilize the complementary advantages of wind-PV-thermal-battery sources and improve energy efficiency. It is of great significance for the construction of low-carbon new power system. Capacity coordinated optimization of battery/thermal energy storage in multi-energy complementary power generation system can reduce the investment costs of power system, and improve the utilization rate of renewable energy and continuous power supply. In this paper, multi-energy complementary power generation system with wind-PV-thermal-battery sources is studied, and a bi-level capacity coordinated optimization model of this system is established. The upper-level model optimizes the capacity of battery/thermal energy storage with the maximum annual net income of this system. The lower-level model optimizes the power shortage in this system, and optimize the generation operation status of this system by considering the constraints such as continuous power supply, wind-PV-thermal-battery sources operation, utilization rate of renewable energy, etc. To solve this bi-level model, a linearization method for nonlinear constraints model is proposed, and a heuristic algorithm based on the combination of value function and branch-bound is designed to obtain the efficient solution. Based on a typical example of multi-energy complementary power generation system, the experimental results verify the effectiveness of the proposed bi-level model and algorithm.

Key words: multi-energy complementary power generation system, battery/thermal energy storage, capacity optimization, bi-level, heuristic algorithm

Pai LI, Hui LU, Chi LI, Hongbo DU. Bi-level Capacity Optimization for Battery/Thermal Energy Storage System in Multi-energy Complementary Power Generation System[J]. Electric Power, 2025, 58(3): 55-64.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202403093

https://www.electricpower.com.cn/EN/Y2025/V58/I3/55

Figures/Tables 11

References 30

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参数名称		数值
风电场单位装机投资成本/(万元∙MW^–1)		600
光伏电站单位装机投资成本/(万元∙MW^–1)		450
储能电站单位装机投资成本/(万元∙MW^–1)		50
储能电站单位容量投资成本/(万元∙(MW∙h)^–1)		200
光热电站单位装机投资成本/(万元∙MW^–1)		3000
储热装置单位容量投资成本/(万元∙(MW∙h)^–1)		30
风电和光伏最大弃电率/%		5
储能电站充电效率		0.94
储能电站放电效率		0.94
光热电站的热-电转换效率		2.4
光热电站的储热效率		0.98
光热电站的放热效率		0.98

参数名称		数值
风电场单位装机投资成本/(万元∙MW^–1)		600
光伏电站单位装机投资成本/(万元∙MW^–1)		450
储能电站单位装机投资成本/(万元∙MW^–1)		50
储能电站单位容量投资成本/(万元∙(MW∙h)^–1)		200
光热电站单位装机投资成本/(万元∙MW^–1)		3000
储热装置单位容量投资成本/(万元∙(MW∙h)^–1)		30
风电和光伏最大弃电率/%		5
储能电站充电效率		0.94
储能电站放电效率		0.94
光热电站的热-电转换效率		2.4
光热电站的储热效率		0.98
光热电站的放热效率		0.98

参数		优化结果
系统年净收益/万元		79963
储能装机容量/MW		291
储能电池容量/(MW∙h)		582
储能电池时长/h		2
光热储热容量/(MW∙h)		6820
储热时长/h		5.7
系统供电缺额/(MW∙h)		393.0
风电利用率/%		95.7
光伏利用率/%		96.6

参数		优化结果
系统年净收益/万元		79963
储能装机容量/MW		291
储能电池容量/(MW∙h)		582
储能电池时长/h		2
光热储热容量/(MW∙h)		6820
储热时长/h		5.7
系统供电缺额/(MW∙h)		393.0
风电利用率/%		95.7
光伏利用率/%		96.6

方法	系统年净收益/万元	系统供电缺额/(MW∙h)	计算耗时/s
所提方法	79963	393.0	8.1
HPR问题最优解	79964	1916.3	0.1