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Optimal Configuration Method for Energy Storage Taking into Account Lifetime Losses and Demand Response
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Longjie LI, Meng’en LI, Yong LU, Xianfeng XU, Xinhe BAI, Wanqi LU
Journal of Power Supply | 2025, 23(3) : 208 - 219
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Journal of Power Supply | 2025, 23(3): 208-219
• Special Issue on Analysis and Control of Power Quality in New Power Systems •
Optimal Configuration Method for Energy Storage Taking into Account Lifetime Losses and Demand Response
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Longjie LI, Meng’en LI, Yong LU, Xianfeng XU, Xinhe BAI, Wanqi LU
Affiliations
  • School of Energy and Electrical Engineering, Chang’an University, Xi’an 710018, China
Published: 2025-05-30 doi: 10.13234/j.issn.2095-2805.2025.3.208
Outline
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Aimed at the issue of self-healing and coregulation of distributed energy storage in multi-energy distribution networks under fault, three key aspects are studied, i.e., improving the state estimation accuracy of energy storage batteries, fully utilizing the potential of demand-side load response, and reducing the lifetime losses of energy storage and the system’s operation costs. On this basis, an optimal configuration method for energy storage taking into account lifetime losses and demand response is proposed, which can reduce the lifetime losses of energy storage and the system’s operation costs while realizing the adaptive regulation of states of the energy storage system. First, a recalibration step is added to improve the extended Kalman filter algorithm, and the estimator is allowed to bypass ineffective updates in the meantime, so as to ensure a precise state estimation of energy storage batteries. Second, a demand response model based on price elasticity and behavioral correlation is constructed to optimize the load curves through a dual-effect of price signals and incentive fees. Finally, a mixed-integer linear programming model for energy storage configuration is developed to incorporate the costs of battery lifetime losses, and a demand response model is used to adjust load while integrating the incentive fees into the daily operation cost. Based on the real-time, dynamic and high-precision estimation results, the approach adaptively refines parameters such as the battery lifetime losses and the depth of discharge, as well as the lower and upper bounds of state-of-charge constraints. The analysis results of a case study demonstrate that compared with other models, the proposed model can significantly reduce the lifetime losses of energy storage and the system’s daily operation costs.

Distribution network self-healing and coregulation  /  extended Kalman filter  /  demand response  /  lifetime loss  /  energy storage configuration
李陇杰, 李蒙恩, 卢勇, 徐先峰, 白新禾, 鲁婉琪. 计及寿命损耗及需求响应的储能优化配置方法. 电源学报, 2025 , 23 (3) : 208 -219 . DOI: 10.13234/j.issn.2095-2805.2025.3.208
Longjie LI, Meng’en LI, Yong LU, Xianfeng XU, Xinhe BAI, Wanqi LU. Optimal Configuration Method for Energy Storage Taking into Account Lifetime Losses and Demand Response[J]. Journal of Power Supply, 2025 , 23 (3) : 208 -219 . DOI: 10.13234/j.issn.2095-2805.2025.3.208
  • National Key R&D Program of China(2021YFB1600200)
  • Research Funds for the Interdisciplinary Projects, Chang’an University(300104240923)
Year 2025 volume 23 Issue 3
63
9
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.3.208
  • Receive Date:2024-12-04
  • Online Date:2026-10-26
  • Published:2025-05-30
Article Data
Affiliations
History
  • Received:2024-12-04
  • Revised:2025-04-08
  • Accepted:2025-04-24
Funding
National Key R&D Program of China(2021YFB1600200)
Research Funds for the Interdisciplinary Projects, Chang’an University(300104240923)
Affiliations
    School of Energy and Electrical Engineering, Chang’an University, Xi’an 710018, China
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表12种不同金属材料的力学参数
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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