Reliability enhancement through optimal placement of photovoltaic power plant and battery energy storage in distribution system

被引：0
作者：
Džodić, K. [1 ]
Krstivojević, J. [1 ]
Abarrategi, O. [2 ]
Eguia, P. [2 ]
机构：
[1] Department of Power Systems, School of Electrical Engineering, University of Belgrade, Belgrade
[2] Department of Electrical Engineering, University of the Basque Country (UPV/EHU), Plaza Ing. Torres Quevedo 1, Bilbao
来源：
Renewable Energy and Power Quality Journal | 2024年 / 22卷 / 03期
关键词：
battery energy storage; Distribution system; MILP; Monte Carlo simulation; PV plant;
D O I：
10.52152/3968
中图分类号：
学科分类号：
摘要：
Integration of distributed generation (DG) units could reduce the duration of power outage for a certain number of consumers in distribution networks after a network failure. Prerequisites are that i) the DG unit has the technical characteristics that enable its islanded operation, the degree of automation of the distribution network allows it and ii) it is in accordance with the current technical regulations of the country. The extent to which integration of distributed sources can improve reliability depends on the DG size, type, and the point of common coupling. Besides, an energy storage system could be installed along with DG unit, so that energy supply availability during fault periods can be secured. This paper proposes an algorithm based on mixed-integer linear programming (MILP) approach for optimal placement of photovoltaic power plant (PVPP) and battery energy storage system (BESS). The optimal location is determined so that expected non supplied energy is minimized. The uncertainties in the estimation of production of PVPP, load and BESS state of charge (SoC) were taken into account by Monte Carlo simulations (MCS). © 2024, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.
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页码：39 / 43
页数：4
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