A multi-agent system for distribution grid congestion management with electric vehicles

2015 ◽  
Vol 38 ◽  
pp. 45-58 ◽  
Author(s):  
Junjie Hu ◽  
Arshad Saleem ◽  
Shi You ◽  
Lars Nordström ◽  
Morten Lind ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Congestion Management ◽  
Multi Agent System ◽  
Distribution Grid ◽  
Agent System ◽  
Multi Agent

Coordination of the Charging of Electric Vehicles Using a Multi-Agent System

2013 ◽  
Vol 4 (4) ◽  
pp. 1802-1809 ◽  
Author(s):  
Panagiotis Papadopoulos ◽  
Nick Jenkins ◽  
Liana M. Cipcigan ◽  
Inaki Grau ◽  
Eduardo Zabala
Keyword(s):  
Electric Vehicles ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

A Decentralized Multi-Agent System for Management of En Route Electric Vehicles

2018 ◽  
Author(s):  
Abla O. Hariri ◽  
Mohamad El Hariri ◽  
Tarek Youssef ◽  
Osama Mohammed
Keyword(s):  
Electric Vehicles ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

A Multi-Agent System for Controlled Charging of a Large Population of Electric Vehicles

2013 ◽  
Vol 28 (2) ◽  
pp. 1196-1204 ◽  
Author(s):  
Evangelos L. Karfopoulos ◽  
Nikos D. Hatziargyriou
Keyword(s):  
Electric Vehicles ◽  
Large Population ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals Longitudinal Modelling and Control of In-Wheel-Motor Electric Vehicles as Multi-Agent Systems

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5437
Author(s):  
Binh-Minh Nguyen ◽  
Hung Van Nguyen ◽  
Minh Ta-Cao ◽  
Michihiro Kawanishi
Keyword(s):  
Motion Control ◽  
Electric Vehicles ◽  
Vehicle Body ◽  
Longitudinal Motion ◽  
Physical Interaction ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Linear Quadratic ◽  
Agent System ◽  
Multi Agent

This paper deals with longitudinal motion control of electric vehicles (EVs) driven by in-wheel-motors (IWMs). It shows that the IWM-EV is fundamentally a multi-agent system with physical interaction. Three ways to model the IWM-EV are proposed, and each is applicable to certain control objectives. Firstly, a nonlinear model with hierarchical structure is established, and it can be used for passivity-based motion control. Secondly, a linearized model with rank-1 interconnection matrix is presented for stability analysis. Thirdly, a time-varying state-space model is proposed for optimal control using linear quadratic regulator (LQR). The proposed modellings contribute the new understanding of IWM-EV dynamics from the view point of multi-agent-system theory. By choosing the suitable control theory for each model, the complexity level of system design is maintained constant, no matter what the number of IWMs installed to the vehicle body. The effectiveness of three models and their design approaches are discussed by several examples with Matlab/Carsim co-simulator.

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