Optimal hybrid backup systems for substation auxiliary services during outages through stochastic programming

IF 3.3 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research Pub Date : 2024-11-12 DOI:10.1016/j.epsr.2024.111191

Matheus Holzbach , Norberto Abrante Martinez , Lucas Teles Faria , Alejandra Tabares , José F. Resende , John F. Franco

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引用次数: 0

Abstract

Auxiliary services are fundamental to ensure the uninterrupted operation, control, and surveillance of critical infrastructure. Traditional dependency on diesel generators as backup power sources during service disruptions is increasingly challenged by their non-renewable nature, operational costs, and environmental impacts. Addressing these concerns, this paper introduces a novel stochastic programming method for the optimal design of a hybrid backup system (HBS), integrating photovoltaic (PV) panels, battery storage, and bidirectional inverters, specifically tailored for substation auxiliary services (SAS). The proposed model represents the uncertainties associated with solar irradiance and power outages (occurrence and duration) through a scenario-based analysis, ensuring a required level of robustness. The proposed model is applied to a case study and a sensitivity analysis of the most important parameters was executed. It was identified that the optimal investment corresponds to an HBS formed by 6 batteries and 22 PV panels (18 kWh/8.58 kWp), providing a robustness level of 99.526 %, which reduces the unavailable hours of the SAS by 61 %. The findings underscore the pivotal contribution of battery systems to support SAS under outages, facilitating the attainment of requisite reliability thresholds. Nonetheless, achieving higher levels of robustness is intrinsically linked to increased financial investment in the backup system infrastructure.

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通过随机编程实现停电期间变电站辅助服务的最佳混合备份系统

辅助服务是确保关键基础设施不间断运行、控制和监视的基础。在服务中断期间，传统上依赖柴油发电机作为备用电源的做法因其不可再生性、运行成本和环境影响而日益受到挑战。为了解决这些问题，本文介绍了一种新型随机编程方法，用于优化设计混合备用系统（HBS），该系统集成了光伏（PV）电池板、电池储能和双向逆变器，专为变电站辅助服务（SAS）量身定制。所提出的模型通过基于场景的分析，体现了与太阳辐照度和停电（发生率和持续时间）相关的不确定性，确保了所需的鲁棒性水平。提议的模型被应用于案例研究，并对最重要的参数进行了敏感性分析。结果表明，最佳投资相当于由 6 个电池和 22 块光伏板（18 千瓦时/8.58 千瓦时）组成的 HBS，稳健性水平为 99.526%，可将 SAS 的不可用小时数减少 61%。研究结果强调了电池系统在停电情况下支持 SAS 的关键作用，有助于达到必要的可靠性阈值。然而，实现更高水平的稳健性与增加对备用系统基础设施的资金投入有着内在联系。

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

Electric Power Systems Research 工程技术-工程：电子与电气

CiteScore

7.50

自引率

17.90%

发文量

963

审稿时长

3.8 months

期刊介绍： Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview. • Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation. • Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design. • Substation work: equipment design, protection and control systems. • Distribution techniques, equipment development, and smart grids. • The utilization area from energy efficiency to distributed load levelling techniques. • Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.