负荷和市场不确定性下配电网电池储能的周期感知优化

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Fatma Avli Firis , Ali Rifat Boynuegri
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引用次数: 0

摘要

基于可再生能源的分布式发电加速整合到配电网中,正在重塑其运营格局,引入可变性、预测不确定性和有限的可调度性,这些因素共同影响了稳定性、可靠性和经济绩效。电池储能系统(BESS)为解决这些挑战提供了一种通用的方法。然而,它们的长期有效性取决于准确的退化建模、适当缩放的容量和在不确定的操作条件下保持健壮的调度策略。本研究开发了一个多阶段混合整数线性规划(MILP)框架,该框架通过将周期感知退化模型嵌入到基于场景的随机调度结构中,共同优化运营成本和资产寿命。需求、光伏发电和电力市场价格的可变性通过概率情景生成和减少来表示,确保对市场和资源波动的操作稳健性。提出的优化框架最初在IEEE-33总线测试馈线上进行了验证,使用了从区域配电系统运营商获得的高分辨率需求概况,来自同一地理区域内的公用事业规模工厂的小时光伏发电数据,以及从土耳其能源交易所透明平台(EPİAŞ)检索的正式验证的小时市场价格序列。随后,采用相同的数据集,将该框架应用于包含61个母线的真实中压配电馈线,其中在不同操作条件和参数变化下进行了广泛的灵敏度分析。该方法还结合了模拟后的技术损失评估,以验证优化策略的物理可行性。总体而言,该框架为在现实的经济和技术条件下将储能系统整合到可再生能源丰富的配电系统中提供了一个严格、可扩展且实际适用的决策支持工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cycle-aware optimization of battery storage in distribution networks under load and market uncertainty
The accelerating integration of renewable-based distributed generation into distribution networks is reshaping their operational landscape, introducing variability, forecast uncertainty, and limited dispatchability that collectively strain stability, reliability, and economic performance. Battery Energy Storage Systems (BESS) provide a versatile means to address these challenges. Their long-term effectiveness, however, hinges on accurate degradation modeling, appropriately scaled capacity, and scheduling strategies that remain robust under uncertain operating conditions. This study develops a multi-stage Mixed-Integer Linear Programming (MILP) framework that jointly optimizes operational cost and asset longevity by embedding a cycle-aware degradation model into a scenario-based stochastic scheduling structure. Variability in demand, photovoltaic generation, and electricity market prices is represented through probabilistic scenario generation and reduction, ensuring operational robustness to market and resource fluctuations. The proposed optimization framework was initially validated on the IEEE-33 bus test feeder using high-resolution demand profiles obtained from a regional distribution system operator, hourly photovoltaic generation data sourced from utility-scale plants located within the same geographical area, and officially verified hourly market price series retrieved from the Transparency Platform of the Turkish Energy Exchange (EPİAŞ). Subsequently, employing the identical dataset, the framework was applied to a real medium-voltage distribution feeder comprising 61 buses, wherein extensive sensitivity analyses were conducted under diverse operating conditions and parameter variations. The approach also incorporates a post-simulation technical loss assessment to validate the physical feasibility of the optimized strategies. Overall, the framework offers a rigorous, scalable, and practically applicable decision-support tool for integrating storage into renewable-rich distribution systems under realistic economic and technical conditions.
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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