Open AccessDistributed cooperative control for economic operation of multiple plug‐in electric vehicle parking decks
Author(s) -
Xu Shengyao,
Pourbabak Hajir,
Su Wencong
Publication year - 2017
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2348
Subject(s) - scalability , robustness (evolution) , plug in , computer science , parking lot , control (management) , grid , distributed computing , electric vehicle , decentralised system , engineering , power (physics) , physics , quantum mechanics , artificial intelligence , biochemistry , chemistry , civil engineering , geometry , mathematics , database , gene , programming language
Summary This paper addresses the economic operation of multiple plug‐in electric vehicle parking decks using novel distributed cooperative control methods. In this paper, we proposes a consensus‐based distributed cooperative control algorithm to determine the best operation strategy for the operator/owner of multiple parking decks. The proposed distributed control approach completely eliminates the reliance on a central controller to make an optimal decision while still satisfying a variety of global and local constraints. Case studies demonstrate the accuracy, robustness, effectiveness, and scalability of the proposed distributed cooperative control method for solving the economic operation problem of multiple plug‐in electric vehicle parking decks under various operating conditions. The distributed control ideas contained here can apply to many other smart grid applications.