Allocation of Microgrid-Forming resources for distribution systems reliability improvement

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems Pub Date : 2024-10-04 DOI:10.1016/j.ijepes.2024.110285

Pedro F. Torres , João T. Pinho , Roberto Zilles

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引用次数: 0

Abstract

This paper proposes a novel method to allocate distributed generation and energy storage as Microgrid-Forming Resources (MFR) to improve the reliability of medium voltage (MV) grids. A graph-based approach is used, which simplifies the circuit analysis and reduces computational time when compared to exhaustive search methods. First, a medium voltage substation-level Nodal Fault-Effect Matrix (NFEM) is derived from the feeder’s topology, which is used for predictive reliability calculations, and calibrated with historical data. Second, a reduced set of scenarios of MFR allocation are generated using a graph community approach and evaluated in terms of reliability improvement and power and energy requirements of the distributed resources. Two case studies are presented based on real grids with different reliability characteristics and the results indicate that the proposed approach is an insightful tool for distribution system planners to evaluate the integration of microgrids to improve system reliability.

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分配微电网形成资源以提高配电系统可靠性

本文提出了一种分配分布式发电和储能作为微电网形成资源（MFR）的新方法，以提高中压（MV）电网的可靠性。与穷举搜索法相比，该方法简化了电路分析，减少了计算时间。首先，从中压变电站级节点故障影响矩阵（NFEM）中得出馈线拓扑结构，用于预测可靠性计算，并用历史数据进行校准。其次，利用图群落方法生成了一套简化的 MFR 分配方案，并从可靠性改进以及分布式资源的电力和能源需求角度进行了评估。结果表明，所提出的方法是配电系统规划人员评估微电网集成以提高系统可靠性的有效工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.