MAS-Based Modeling of Active Distribution Network: The Simulation of Emerging Behaviors
Authored by Merkebu Z Degefa, Antti Alahaivala, Olli Kilkki, Muhammad Humayun, Ilkka Seilonen, Valeriy Vyatkin, Matti Lehtonen
Date Published: 2016
DOI: 10.1109/tsg.2015.2510547
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Abstract
Agent-based modeling of active distribution network helps to understand
the dynamics and to design the control strategies for overall system
efficiency. There is, however, a lack of generic and multipurpose agent
definitions in existing studies. In this paper, a multi-agent
system-based modeling of an active distribution network is presented
using cooperative agents. A method to solve a network-wise objective of
state estimation is explained with the proposed model. The network
component agents are defined to be cooperative to meet the overall
objectives and greedy to fulfil individual objectives such as energy
cost minimization. A token-ring protocol is deployed for the agent
communication among themselves, as well as with market and network
operator agents. Furthermore, a MATLAB/Simulink model of active
distribution network is used to simulate the emerging stochastic loading
scenario, while the autonomous pro-sumer agents optimize their total
energy cost responding to market price variations.
Tags
Agent
systems
State estimation
Automation