Multi-agents Based Modelling for Distribution Network Operation with Electric Vehicle Integration

Junjie Hu; Hugo Morais; Yi Zong; Shi You; Henrik W. Bindner; Lei Wang; Qidi Wu

doi:10.1007/978-3-662-45286-8_37

Multi-agents Based Modelling for Distribution Network Operation with Electric Vehicle Integration

Junjie Hu
, Hugo Morais
, Yi Zong
, Shi You
, Henrik W. Bindner
, Lei Wang
, Qidi Wu

Tongji University

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

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Abstract

Electric vehicles (EV) can become integral part of a smart grid because instead of just consuming power they are capable of providing valuable services to power systems. To integrate EVs smoothly into the power systems, a multi-agents system (MAS) with hierarchical organization structure is proposed in this paper. The proposed MAS system consists of three types of agents: distribution system operator agent (DSO agent), electric vehicle fleet operator agent (EV FO agent or alternatively called virtual power plant agent) and EV agent. A DSO agent belongs to the top level of the hierarchy and its role is to manage the distribution network safely by avoiding grid congestions and using congestion prices to coordinate the energy schedule of VPPs. VPP agents belong to the middle level and their roles are to manage the charge periods of the EVs. EV agents sit in the bottom level and they represent EV owners and operate the charging behaviour of EVs. To simulate this collaborative (all agents contribute to achieving an optimized global performance) but also competitive environment (each agent will try to increase its utilities or reduce its costs), a multi-agent platform was developed to demonstrate the coordination between the interacting agents.

Original language	English
Title of host publication	Intelligent Computing in Smart Grid and Electrical Vehicles
Editors	Kang Li
Publisher	Springer
Publication date	2014
Pages	349-358
ISBN (Print)	978-3-662-45285-1
ISBN (Electronic)	978-3-662-45286-8
DOIs	https://doi.org/10.1007/978-3-662-45286-8_37
Publication status	Published - 2014
Event	International Conference on Life System Modeling and Simulation 2014 - Shanghai, China Duration: 20 Sept 2014 → 23 Sept 2014

Conference

Conference	International Conference on Life System Modeling and Simulation 2014
Country/Territory	China
City	Shanghai
Period	20/09/2014 → 23/09/2014

Series	Communications in Computer and Information Science
Volume	463
ISSN	1865-0929

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Congestion Management
Electric Vehicles
Multi-agent Systems
Smart Grids
Virtual Power Players

Access to Document

10.1007/978-3-662-45286-8_37

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Cite this

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title = "Multi-agents Based Modelling for Distribution Network Operation with Electric Vehicle Integration",

abstract = "Electric vehicles (EV) can become integral part of a smart grid because instead of just consuming power they are capable of providing valuable services to power systems. To integrate EVs smoothly into the power systems, a multi-agents system (MAS) with hierarchical organization structure is proposed in this paper. The proposed MAS system consists of three types of agents: distribution system operator agent (DSO agent), electric vehicle fleet operator agent (EV FO agent or alternatively called virtual power plant agent) and EV agent. A DSO agent belongs to the top level of the hierarchy and its role is to manage the distribution network safely by avoiding grid congestions and using congestion prices to coordinate the energy schedule of VPPs. VPP agents belong to the middle level and their roles are to manage the charge periods of the EVs. EV agents sit in the bottom level and they represent EV owners and operate the charging behaviour of EVs. To simulate this collaborative (all agents contribute to achieving an optimized global performance) but also competitive environment (each agent will try to increase its utilities or reduce its costs), a multi-agent platform was developed to demonstrate the coordination between the interacting agents.",

keywords = "Congestion Management, Electric Vehicles, Multi-agent Systems, Smart Grids, Virtual Power Players",

author = "Junjie Hu and Hugo Morais and Yi Zong and Shi You and Bindner, \{Henrik W.\} and Lei Wang and Qidi Wu",

year = "2014",

doi = "10.1007/978-3-662-45286-8\_37",

language = "English",

isbn = "978-3-662-45285-1",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "349--358",

editor = "Kang Li",

booktitle = "Intelligent Computing in Smart Grid and Electrical Vehicles",

note = "International Conference on Life System Modeling and Simulation 2014, LSMS 2014 ; Conference date: 20-09-2014 Through 23-09-2014",

}

Hu, J, Morais, H, Zong, Y , You, S , Bindner, HW, Wang, L & Wu, Q 2014, Multi-agents Based Modelling for Distribution Network Operation with Electric Vehicle Integration. in K Li (ed.), Intelligent Computing in Smart Grid and Electrical Vehicles . Springer, Communications in Computer and Information Science, vol. 463, pp. 349-358, International Conference on Life System Modeling and Simulation 2014, Shanghai, China, 20/09/2014. https://doi.org/10.1007/978-3-662-45286-8_37

Multi-agents Based Modelling for Distribution Network Operation with Electric Vehicle Integration. / Hu, Junjie; Morais, Hugo; Zong, Yi et al.
Intelligent Computing in Smart Grid and Electrical Vehicles . ed. / Kang Li. Springer, 2014. p. 349-358 (Communications in Computer and Information Science, Vol. 463).

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

TY - CHAP

T1 - Multi-agents Based Modelling for Distribution Network Operation with Electric Vehicle Integration

AU - Hu, Junjie

AU - Morais, Hugo

AU - Zong, Yi

AU - You, Shi

AU - Bindner, Henrik W.

AU - Wang, Lei

AU - Wu, Qidi

PY - 2014

Y1 - 2014

N2 - Electric vehicles (EV) can become integral part of a smart grid because instead of just consuming power they are capable of providing valuable services to power systems. To integrate EVs smoothly into the power systems, a multi-agents system (MAS) with hierarchical organization structure is proposed in this paper. The proposed MAS system consists of three types of agents: distribution system operator agent (DSO agent), electric vehicle fleet operator agent (EV FO agent or alternatively called virtual power plant agent) and EV agent. A DSO agent belongs to the top level of the hierarchy and its role is to manage the distribution network safely by avoiding grid congestions and using congestion prices to coordinate the energy schedule of VPPs. VPP agents belong to the middle level and their roles are to manage the charge periods of the EVs. EV agents sit in the bottom level and they represent EV owners and operate the charging behaviour of EVs. To simulate this collaborative (all agents contribute to achieving an optimized global performance) but also competitive environment (each agent will try to increase its utilities or reduce its costs), a multi-agent platform was developed to demonstrate the coordination between the interacting agents.

AB - Electric vehicles (EV) can become integral part of a smart grid because instead of just consuming power they are capable of providing valuable services to power systems. To integrate EVs smoothly into the power systems, a multi-agents system (MAS) with hierarchical organization structure is proposed in this paper. The proposed MAS system consists of three types of agents: distribution system operator agent (DSO agent), electric vehicle fleet operator agent (EV FO agent or alternatively called virtual power plant agent) and EV agent. A DSO agent belongs to the top level of the hierarchy and its role is to manage the distribution network safely by avoiding grid congestions and using congestion prices to coordinate the energy schedule of VPPs. VPP agents belong to the middle level and their roles are to manage the charge periods of the EVs. EV agents sit in the bottom level and they represent EV owners and operate the charging behaviour of EVs. To simulate this collaborative (all agents contribute to achieving an optimized global performance) but also competitive environment (each agent will try to increase its utilities or reduce its costs), a multi-agent platform was developed to demonstrate the coordination between the interacting agents.

KW - Congestion Management

KW - Electric Vehicles

KW - Multi-agent Systems

KW - Smart Grids

KW - Virtual Power Players

U2 - 10.1007/978-3-662-45286-8_37

DO - 10.1007/978-3-662-45286-8_37

M3 - Book chapter

SN - 978-3-662-45285-1

T3 - Communications in Computer and Information Science

SP - 349

EP - 358

BT - Intelligent Computing in Smart Grid and Electrical Vehicles

A2 - Li, Kang

PB - Springer

T2 - International Conference on Life System Modeling and Simulation 2014

Y2 - 20 September 2014 through 23 September 2014

ER -

Multi-agents Based Modelling for Distribution Network Operation with Electric Vehicle Integration

Abstract

Conference

UN SDGs

Keywords

Access to Document

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