Optimising the placement and sizing of a predefined number of battery energy storage systems on Distribution Networks⁎

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2024-01-01 DOI:10.1016/j.ifacol.2024.07.456

Somesh Bhattacharya , Cedric Caruana , Reiko Raute , Alexander Micallef

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引用次数: 0

Abstract

Increased deployment of distributed renewable energy on distribution networks has become a popular approach in the effort towards decarbonisation. The paper addresses the challenges related to voltage deviation and power loss resulting from higher levels of photovoltaic systems (PV) penetration. Battery Energy Storage Systems (BESS) provide a flexible solution to enhance network performance. The paper develops a novel methodology for the optimal placement and sizing of a set number of BESS units on the network. The methodology is intended to assist Distribution Network Operators (DNOs) in planning the optimal deployment of a specified number of BESS units. The problem is modelled as a mixed-integer linear program with conic relaxation approach. Numerical simulations are carried out to demonstrate the usefulness of the proposed approach with the help of the IEEE 33-bus network utilising 3, 5 and 7 BESS units. The paper examines the BESS requirements and performance as the set number of units deployed is varied.

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优化配电网络中预定数量电池储能系统的布局和大小⁎

在配电网络中增加部署分布式可再生能源已成为去碳化过程中的一种流行方法。本文探讨了光伏系统（PV）渗透率提高所带来的电压偏差和功率损耗方面的挑战。电池储能系统（BESS）为提高电网性能提供了灵活的解决方案。本文开发了一种新方法，用于优化网络中一定数量 BESS 单元的布置和大小。该方法旨在帮助配电网络运营商（DNO）规划特定数量 BESS 单元的最佳部署。该问题被建模为采用圆锥松弛方法的混合整数线性程序。在使用 3、5 和 7 个 BESS 单元的 IEEE 33 总线网络的帮助下，进行了数值模拟，以证明所提方法的实用性。本文研究了随着所部署设备数量的变化而变化的 BESS 要求和性能。

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

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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