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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Energy Storage
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1510259
This article is part of the Research Topic Optimization and Data-driven Approaches for Energy Storage-based Demand Response to Achieve Power System Flexibility View all 22 articles

Optimal Configuration of Shared Energy Storage for Industrial Users Considering Lifetime and Charge-Discharge Strategy Coupling

Provisionally accepted
Wendi Wang Wendi Wang *Hongyan Wang Hongyan Wang Shaobin Sun Shaobin Sun Gang Cao Gang Cao Shufan Wang Shufan Wang Ye Ji Ye Ji
  • Nanjing Suyi Industrial Co., Ltd, Nanjing, China

The final, formatted version of the article will be published soon.

    With the development of renewable energy, energy storage has become one of the key technologies to solve the uncertainty of power generation and the disorder of power consumption and shared energy storage has become the focus of attention for its cost-effective characteristics. However, it is always difficult to quantify the coupling relationship between charge and discharge strategy and life expectancy in energy storage configuration. Based on this, this paper proposes an industrial user-side shared energy storage optimal configuration model, which takes into account the coupling characteristics of life and charge and discharge strategy. Firstly, the life loss model of lithium iron phosphate battery is constructed by using the rain-flow counting method. In order to further optimize the user-side shared energy storage configuration in the multi-user scenario, a two-layer model of energy storage configuration is built, and the Big M method and the Karush-Kuhn-Tucker (KKT) conditions are used to equivalently transform the constraints. Based on the predicted life of energy storage and the dichotomy method, the optimal energy storage configuration results are obtained. Comparing the energy cost of users under the three scenarios of no storage configuration, storage configuration according to fixed storage life, and storage configuration according to the model proposed in this paper, the results show that the proposed method can help accurately describe the energy storage model, increase the utilization rate of the power station, and improve the electricity economy of users.

    Keywords: Shared energy storage configuration, rain-flow counting, Life expectancy of energy storage, Shapley value method, Bi-layer model

    Received: 12 Oct 2024; Accepted: 26 Nov 2024.

    Copyright: © 2024 Wang, Wang, Sun, Cao, Wang and Ji. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Wendi Wang, Nanjing Suyi Industrial Co., Ltd, Nanjing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.