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

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-energy-consuming...

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Main Authors: Cuomu Yixi, Xiaoming Liu, Yu Li, Jingming Tan, Zhihong Liu, Basang Danzeng, Lei Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Energy Research
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Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2025.1536668/full
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author Cuomu Yixi
Xiaoming Liu
Yu Li
Jingming Tan
Zhihong Liu
Basang Danzeng
Lei Wang
author_facet Cuomu Yixi
Xiaoming Liu
Yu Li
Jingming Tan
Zhihong Liu
Basang Danzeng
Lei Wang
author_sort Cuomu Yixi
collection DOAJ
description 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-energy-consuming 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.
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spelling doaj-art-846f9e271fd443c28e49607d037b98432025-01-30T06:22:06ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2025-01-011310.3389/fenrg.2025.15366681536668Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgridCuomu Yixi0Xiaoming Liu1Yu Li2Jingming Tan3Zhihong Liu4Basang Danzeng5Lei Wang6Economic and Technical Research Institute of State Grid Tibet Electric Power Co., Ltd., Lhasa, ChinaEconomic and Technical Research Institute of State Grid Tibet Electric Power Co., Ltd., Lhasa, ChinaState Grid Tibet Electric Power Co., Ltd., Lhasa, ChinaState Grid Tibet Electric Power Co., Ltd., Lhasa, ChinaEconomic and Technical Research Institute of State Grid Tibet Electric Power Co., Ltd., Lhasa, ChinaEconomic and Technical Research Institute of State Grid Tibet Electric Power Co., Ltd., Lhasa, ChinaEconomic and Technical Research Institute of State Grid Tibet Electric Power Co., Ltd., Lhasa, ChinaThe 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-energy-consuming 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.https://www.frontiersin.org/articles/10.3389/fenrg.2025.1536668/fullindustrial and mining loadsdemand responseenergy storage configurationindependent microgridmixed integer linear programming
spellingShingle Cuomu Yixi
Xiaoming Liu
Yu Li
Jingming Tan
Zhihong Liu
Basang Danzeng
Lei Wang
Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgrid
Frontiers in Energy Research
industrial and mining loads
demand response
energy storage configuration
independent microgrid
mixed integer linear programming
title Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgrid
title_full Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgrid
title_fullStr Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgrid
title_full_unstemmed Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgrid
title_short Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgrid
title_sort optimal configuration strategy of energy storage considering flexible response of high energy consuming industrial and mining loads in independent microgrid
topic industrial and mining loads
demand response
energy storage configuration
independent microgrid
mixed integer linear programming
url https://www.frontiersin.org/articles/10.3389/fenrg.2025.1536668/full
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