Simultaneous planning of distribution automation and battery energy storage systems for improving resilience of distribution network

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Mohammad Sadeghian-Jahromi , Mahmud Fotuhi-Firuzabad , Sajjad Fattaheian-Dehkordi , Fei Wang , Matti Lehtonen
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引用次数: 0

Abstract

Recent widespread blackouts around the world have highlighted the fact that power grids must not only ensure reliability against high-probability, low-impact events (HPLI), but also withstand against low-probability, high-impact events (HILP) which could endanger the reliable operation of the system. Therefore, with the aim of improving the resilience of distribution networks, this paper proposes a model for the simultaneous planning of distribution automation and energy storage systems to address the operational challenges in case of hurricane occurrences in the system. For this, first, a hurricane model is presented to predict the impact of future hurricanes on the network. Respectively, the planning optimization is formulated as a mixed integer linear programming (MILP) to optimally determine the location and number of the remote-control switches (RCSs) as well as the capacity, number and location of the battery energy storage systems (BESSs). This study enables the co-optimization of distribution automation and energy storages investments to effectively improve the resilience of the system. Finally, this model is implemented on the Roy Billinton Test System (RBTS) to investigate the effectiveness of the proposed method in improving the resilience of system in an economic manner.
最近世界各地发生的大面积停电事故突出表明,电网不仅要确保应对高概率、低影响事件(HPLI)的可靠性,还要抵御可能危及系统可靠运行的低概率、高影响事件(HILP)。因此,为了提高配电网络的抗灾能力,本文提出了一种同步规划配电自动化和储能系统的模型,以应对系统中发生飓风时的运行挑战。为此,首先提出了一个飓风模型,用于预测未来飓风对网络的影响。然后,以混合整数线性规划(MILP)的形式进行规划优化,以优化确定遥控开关(RCS)的位置和数量,以及电池储能系统(BESS)的容量、数量和位置。这项研究有助于共同优化配电自动化和储能投资,从而有效提高系统的恢复能力。最后,该模型在罗伊-比林顿测试系统(RBTS)上进行了实施,以研究建议的方法在以经济的方式提高系统恢复能力方面的有效性。
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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