Optimal Renewable Energy Curtailment Minimization Control Using a Combined Electromobility and Grid Model

被引:1
作者
Cicic, Mladen [1 ]
Vivas, Carlos [2 ]
Canudas-de-Wit, Carlos [1 ]
Rubio, Francisco R. [2 ]
机构
[1] Univ Grenoble Alpes, CNRS, Inria, Grenoble INP,GIPSA Lab, Grenoble, France
[2] Univ Seville, Dept Ingn Sistemas & Automat, Escuela Tecn Super Ingn, Seville, Spain
来源
IFAC PAPERSONLINE | 2023年 / 56卷 / 02期
基金
欧洲研究理事会;
关键词
Electromobility; Energy curtailment; Optimal control; Renewable energy sources; STRATEGIES;
D O I
10.1016/j.ifacol.2023.10.875
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We propose an integrated power and transportation system control framework, combining the power grid model with a macroscopic electromobility model including charging stations under V2G operation. In this framework, the electrical vehicles (EVs) act as energy storage, but also as an additional virtual power grid link, transporting energy from one point to another. This new holistic model is used as a basis for optimal control design seeking to minimize renewable energy curtailment, while accounting for the structural limitation of the grid and other SoC constraints necessary for the optimal operation of the EVs. The proposed control scheme is shown to eliminate approximately 50% of curtailment compared to uncoordinated EV charging. Copyright (c) 2023 The Authors.
引用
收藏
页码:10063 / 10068
页数:6
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