Coordinated EV Aggregation Management via Alternating Direction Method of Multipliers

被引：7

作者：

Afshar, Shahab ^{[1
]}

Wasti, Shailesh ^{[1
]}

Disfani, Vahid ^{[1
]}

机构：

[1] Univ Tennessee, ConnectSmart Res Lab, Chattanooga, TN 37403 USA

来源：

2020 INTERNATIONAL CONFERENCE ON SMART GRIDS AND ENERGY SYSTEMS (SGES 2020) | 2020年

关键词：

ADMM; aggregator; decentralized control; distributed optimization; electric vehicle; mixed integer programming;

D O I：

10.1109/SGES51519.2020.00162

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Electric vehicle (EV) aggregation can significantly influence the EVs charging/discharging behavior. In this paper, we use a distributed algorithm based on the alternating direction method of multipliers (ADMM) to coordinate EV charging and discharging procedures for EVs with vehicle-to-grid (V2G) capabilities. The optimization model is formulated as a mixed-integer quadratic programming (MIQP) problem to consider the efficiency of EV batteries and different energy prices in both charging and discharging processes. Numerical tests using real-world data confirms that the implemented method allows obtaining both the electric vehicle aggregator (EVA) and individual EV goals while considering the power grid and each EV constraints. Moreover, we show the significant impact of our model on the final demand profile and computation time.

引用

页码：882 / 887

页数：6

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