Stochastic Microgrid Sizing Considering Electric Vehicle Charging Demand

被引：1

作者：

Magalhaes, Marcelo Montandon ^{[1
]}

Terada, Lucas Zenichi ^{[1
]}

Cortez, Juan Carlos ^{[1
]}

Soares, Joao ^{[2
]}

Rider, Marcos J. ^{[1
]}

Vale, Zita ^{[2
]}

机构：

[1] Univ Estadual Campinas, Dept Energy Syst DSE, Campinas, Brazil

[2] Polytech Porto, GECAD, Sch Engn ISEP, Porto, Portugal

来源：

2024 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES, SEST 2024 | 2024年

基金：

巴西圣保罗研究基金会;

关键词：

Distributed energy resources; Electric vehicles; Microgrids sizing; Stochastic programming; Vehicle-to-grid;

D O I：

10.1109/SEST61601.2024.10694011

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Microgrids represent a pivotal shift in energy technology, offering a suite of advantages over conventional power grids, such as improved reliability, cost efficiency, and environmental benefits due to their ability to integrate renewable sources and provide flexible energy solutions, underscoring the urgent need for grid modernization and strategic planning. This paper presents a stochastic economic model of linear programming (LP) for microgrid sizing, considering the charging scheduling profiles of electric vehicles (EVs) within a grid. The model is based on linear approximation techniques for the operation of EV and battery energy storage system (BESS). The model also incorporates the injection of energy from EV into energy distributions system (EDS) using vehicle-to-grid (V2G) technology, which considers compensation for the owners.

引用

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