A new decentralized algorithm for optimal load shifting via electric vehicles

In this paper we investigate the optimal load shifting problem via electric vehicles (EVs) in a smart grid scenario which aims at flattening the total demand curve as much as possible while each EV's local constraints are satisfied. We assume bidirectional energy exchange between EVs and the po...

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Bibliographic Details
Main Authors: Hao Xing, Zhiyun Lin, Minyue Fu
Format: Conference Proceeding
Language:English
Subjects:
Convex functions
Decentralized Algorithm
Electric Vehicle
Load Shifting
Mixed Integer Programming
Partial discharges
Power system stability
Smart Grid
State of charge
V2G
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Summary:In this paper we investigate the optimal load shifting problem via electric vehicles (EVs) in a smart grid scenario which aims at flattening the total demand curve as much as possible while each EV's local constraints are satisfied. We assume bidirectional energy exchange between EVs and the power grid and formulate the problem as a mixed integer quadratic programming problem. To solve this problem in a decentralized fashion, we propose a decentralized optimal algorithm where EVs and the aggregator cooperatively find the optimal solution by communicating in a star network and conducting local computation. To implement the proposed algorithm, only limited data are exchanged and the aggregator does not need any parameter information of EVs. The proposed algorithm converges much faster than traditional centralized methods/commercial solvers, as the mixed integer part is broken down into local subproblems and solved in parallel by each EV. Convergence proof of the proposed algorithm is presented and numerical experiments show the effectiveness of the proposed algorithm.
ISSN:2161-2927
DOI:10.23919/ChiCC.2017.8029062