An ADMM-based MIQP platform for the EV aggregation management

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) c...

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Bibliographic Details
Published in:arXiv.org 2020-10
Main Authors: Afshar, Shahab, Wasti, Shailesh, Disfani, Vahid
Format: Article
Language:English
Subjects:
Agglomeration
Algorithms
Discharge
Electric power grids
Electric vehicle charging
Electric vehicles
Mixed integer
Optimization
Quadratic programming
Vehicle-to-grid
Online Access:Get full text
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Summary: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.
ISSN:2331-8422