Multi-agent based modeling for electric vehicle integration in a distribution network operation
Authored by Junjie Hu, Hugo Morais, Morten Lind, Henrik W Bindner
Date Published: 2016
DOI: 10.1016/j.epsr.2016.03.014
Sponsors:
No sponsors listed
Platforms:
JACK Intelligent Agents
GAMS
MATLAB
Model Documentation:
Other Narrative
Flow charts
Mathematical description
Model Code URLs:
Model code not found
Abstract
The purpose of this paper is to present a multi-agent based modeling
technology for simulating and operating a hierarchical energy management
of a power distribution system with focus on EVs integration. The
proposed multi-agent system consists of four types of agents: i)
Distribution system operator (DSO) technical agent and ii) DSO market
agents that both belong to the top layer of the hierarchy and their
roles are to manage the distribution network by avoiding grid
congestions and using congestion prices to coordinate the energy
scheduled; iii) Electric vehicle virtual power plant agents are in the
middle level of the hierarchy and their roles are to manage the charge
process of the electric vehicles; iv) Electric vehicle agents are placed
at the bottom layer of the hierarchy and they represent electric vehicle
owners with different users' profiles. To demonstrate the coordination
behavior of the proposed system, a multi-agent simulation platform is
developed based on the co-simulation environment of JACK, Matlab and
GAMS. The aim of the multi-agent system is to simulate the collaborative
(all agents contribute to achieve an optimized global performance) but
also competitive environment (each agent will try to increase its
utilities or reduce its costs). (C) 2016 Elsevier B.V. All rights
reserved.
Tags
Management
System