Techno-economic planning of spatially-resolved battery storage systems in renewable-dominant grids under weather variability

IF 11 1区工程技术 Q1 ENERGY & FUELS

Applied Energy Pub Date : 2025-09-16 DOI:10.1016/j.apenergy.2025.126706

Seyed Ehsan Ahmadi , Elnaz Kabir , Mohammad Fattahi , Mousa Marzband , Dongjun Li

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引用次数: 0

Abstract

The ongoing energy transition is significantly increasing the share of renewable energy sources (RES) in power systems; however, their intermittency and variability pose substantial challenges, including load shedding and system congestion. This study examines the role of the battery storage system (BSS) in mitigating these challenges by balancing power supply and demand. We optimize the location, size, and type of batteries using a two-stage stochastic program, with the second stage involving hourly operational decisions over an entire year. Unlike previous research, we incorporate the comprehensive technical and economic characteristics of battery technologies. The New York State (NYS) power system, currently undergoing a significant shift towards increased RES generation, serves as our case study. Using available load and weather data from 1980 to 2019, we account for the uncertainty of both load and RES generation through a sample average approximation approach. Our findings indicate that BSS can reduce renewable curtailment by 34 % and load shedding by 21 %, contributing to a more resilient power system in achieving NYS 2030 energy targets. Furthermore, the cost of employing BSS for the reduction of load shedding and RES curtailment does not increase linearly with additional capacity, revealing a complex relationship between costs and renewable penetration. This study provides valuable insights for the strategic BSS deployment to achieve a cost-effective and reliable power system in the energy transition as well as the feasibility of the NYS 2030 energy targets.

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天气变化条件下可再生能源主导电网空间分辨电池储能系统的技术经济规划

正在进行的能源转型正在显著增加可再生能源（RES）在电力系统中的份额；然而，它们的间歇性和可变性带来了实质性的挑战，包括负载减少和系统拥塞。本研究探讨了电池储能系统（BSS）在平衡电力供需方面的作用。我们使用两阶段随机计划优化电池的位置、大小和类型，第二阶段涉及全年每小时的运营决策。与以往的研究不同，我们结合了电池技术的综合技术和经济特征。纽约州（NYS）的电力系统目前正经历着向可再生能源发电增加的重大转变，这是我们的案例研究。利用1980年至2019年的可用负荷和天气数据，我们通过样本平均近似方法解释了负荷和RES产生的不确定性。我们的研究结果表明，BSS可以减少34%的可再生弃电，减少21%的负荷，为实现纽约州2030年的能源目标做出更有弹性的电力系统贡献。此外，采用BSS减少减载和可再生能源削减的成本不会随着额外容量的增加而线性增加，这揭示了成本与可再生能源渗透率之间的复杂关系。该研究为战略部署BSS提供了有价值的见解，以实现能源转型中具有成本效益和可靠的电力系统，以及纽约2030年能源目标的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Energy 工程技术-工程：化工

CiteScore

21.20

自引率

10.70%

发文量

1830

审稿时长

41 days

期刊介绍： Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.