Skip to main content

ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Energy Storage
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1536668
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 23 articles

Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgrid

Provisionally accepted
Cuomu Yixi Cuomu Yixi 1Xiaoming Liu Xiaoming Liu 1*Yu Li Yu Li 2Jingming Tan Jingming Tan 2Zhihong Liu Zhihong Liu 1Basang Danzeng Basang Danzeng 1Lei Wang Lei Wang 1
  • 1 Economic and Technical Research Institute of State Grid Tibet Electric Power Co., Ltd., Lhasa, China
  • 2 State Grid Tibet Electric Power Co., Ltd., Lhasa, China

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

    The coordinated optimization of industrial and mining loads with energy storage (ES) is a critical approach to achieving power and energy balance in microgrids while promoting the new energy accommodation. Addressing the issue of insufficient flexibility in demand response from high-energyconsuming lithium mining loads, which may lead to conservative ES capacity allocation and underutilization of complementary flexibility potential, this paper proposes an ES optimization strategy for microgrids considering the participation of high-energy-consuming lithium mining loads in demand response. Firstly, considering the production process of extracting lithium from salt lakes brine and the electricity consumption characteristics of major energy-consuming equipment, a mathematical model is developed to quantify the flexibility adjustment potential of lithium mining loads under production behavior constraints. Based on this, incorporating the regulation boundaries of photovoltaic (PV) units, gas turbine units, concentrated solar power (CSP), ES system, and flexible lithium mining loads, an ES capacity optimization model is constructed to minimize the comprehensive system capital and operation costs in independent microgrid. The model is then linearized into a mixed-integer programming problem. Finally, through case study simulations of an actual microgrid in Southwest China, the feasibility and effectiveness of the proposed ES optimization strategy are verified. The results demonstrate that the proposed strategy can economically and effectively meet the power and energy balance of the independent microgrid and the electricity demands of high-energy-consuming loads, while promoting the improvement of new energy accommodation capacity.

    Keywords: Industrial and mining loads, demand response, Energy storage configuration, Independent microgrid, Mixed integer linear programming

    Received: 29 Nov 2024; Accepted: 07 Jan 2025.

    Copyright: © 2025 Yixi, Liu, Li, Tan, Liu, Danzeng and Wang. 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: Xiaoming Liu, Economic and Technical Research Institute of State Grid Tibet Electric Power Co., Ltd., Lhasa, 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.