电池储能温度-功率特性建模及其在综合能源系统中的应用

doi:10.19595/j.cnki.1000-6753.tces.231028

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Abstract

To mitigate the fluctuations of new energy output, battery energy storage is widely used in integrated energy system (IES). However, its performance and lifespan are significantly affected by temperature. Neglecting the influence of temperature on battery energy storage operations leads to several critical issues: a) The charging and discharging power of the battery is constrained at extreme high temperature and low temperature, thereby preventing the full absorption of new energy output. b) Extreme temperatures accelerate battery degradation, resulting in increased costs and reduced longevity. To address these challenges, it is necessary to study temperature-dependent charge/discharge characteristics and lifespan deterioration of battery energy storage under extreme temperature conditions and establish corresponding temperature-power and temperature-lifespan deterioration models , and then consider the above models in the optimal scheduling of the IES, so as to improve the thermal safety of battery energy storage and the ability to absorb new energy output, and reduce the lifespan loss of battery energy storage and system operating costs.
This paper proposed a battery energy storage operation model with temperature-power characteristics and an IES low carbon economic dispatch method with battery energy storage temperature control. The key steps can be summarized as follows:
1)Convex Electric-Thermal Coupling Model: The study begins by constructing an electric-thermal coupling model through a combination of battery experiments and simulations. This model is further refined using convexity techniques. It accurately estimates battery temperature based on electric-thermal coupling, allowing for precise quantification of temperature-dependent power output and lifespan deterioration rates.
2)Battery Energy Storage Operation Model: The developed model encapsulates temperature-power and temperature-lifespan deterioration characteristics. Battery temperature estimation, derived from the electric-thermal coupling model, plays a pivotal role. This comprehensive model is employed to analyze the interdependencies between electricity, gas, cold, and heat multi-energy flows, consequently leading to the formulation of an IES low-carbon economic operation model.
3)Integrated Planning Model: Through the amalgamation of the battery energy storage model and its temperature control aspects, a mixed-integer planning model is devised. The primary goal is to minimize the total operating cost of the IES. This gives rise to an IES low-carbon economic dispatch strategy. To verify the effectiveness of the proposed method, a simulation model is constructed according to different seasonal operation scenarios, and the proposed method was compared with the method that does not include temperature control of battery energy storage.
The theoretical analysis and case simulations yield the following conclusions: (1)Convex the battery electric-thermal coupling model, estimate the battery temperature based on the convex model, quantify the battery energy storage temperature-power output capability, temperature- lifespan deterioration rate, and control the battery energy storage temperature and power. In this way, it can avoid damage to the battery due to overcharging and discharging at extreme high temperature and low temperature. After calculation, the method in this paper can reduce the lifespan loss cost of battery energy storage by 30.97% and 69.64% in typical summer and winter days compared with that without considering the temperature control of battery energy storage. (2) According to the characteristics of battery energy storage temperature-power output capability, an IES low-carbon economic scheduling strategy including battery energy storage temperature control can be proposed, and the power output capability of the battery energy storage temperature can be improved by controlling the battery energy storage temperature. In this way, the ability to absorb new energy output can be improved, and the operating cost of IES can be reduced. After calculation, the method in this paper can reduce the operating cost of IES by 6.72% and 13.78% in typical days in summer and winter compared with that without considering the temperature control of battery energy storage.

Key words： Integrated energy system battery energy storage temperature characteristics temperature control optimize scheduling

Received: 03 July 2023

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TM74

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	Xiong Kang
	Li Canbing
	Fan Feilong
	Li Xinxi
	Yang Wensheng

Cite this article:

Xiong Kang,Li Canbing,Fan Feilong等. Modeling of Temperature-Power Characteristics of Battery Energy Storage and Its Application in Integrated Energy System[J]. Transactions of China Electrotechnical Society, 0, (): 231028-.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.231028 OR https://dgjsxb.ces-transaction.com/EN/Y0/V/I/231028

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