TY - GEN
T1 - Design of a multi-agent system for distributed voltage regulation
AU - Chen, Minjiang
AU - Athanasiadis, Dimitrios
AU - Faiya, Badr Al
AU - McArthur, Stephen
AU - Kockar, Ivana
AU - Lu, Haowei
AU - De Leon, Francisco
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/18
Y1 - 2017/10/18
N2 - In this paper, an intelligent distributed multi-agent system (MAS) is proposed for the implementation of a novel optimization technique for distributed voltage regulation. The proposed MAS approach controls a large heavily-meshed distribution network which is grouped into small subnetworks using ϵ decomposition. The voltage regulation is accomplished by distributed generator (DG) agents, linear programming solver (LPS) agents, network violation detector (NVD) agents, and one ϵ decomposition agent. The LPS agent has an embedded control algorithm which optimizes DG generation within a subnetwork once the voltage at particular nodes exceeds the normal operational limits. The subnetworks and their control requirements are achieved through self-organization, which is the novelty of the research. Each intelligent agent has its own knowledge and reasoning logic to plan its own activities. The control actions are coordinated through agent communications within the subnetwork. The agent platform, Presage2, with improved autonomy and agent communication capability, has been used to develop the proposed MAS system and design the agents' behaviors.
AB - In this paper, an intelligent distributed multi-agent system (MAS) is proposed for the implementation of a novel optimization technique for distributed voltage regulation. The proposed MAS approach controls a large heavily-meshed distribution network which is grouped into small subnetworks using ϵ decomposition. The voltage regulation is accomplished by distributed generator (DG) agents, linear programming solver (LPS) agents, network violation detector (NVD) agents, and one ϵ decomposition agent. The LPS agent has an embedded control algorithm which optimizes DG generation within a subnetwork once the voltage at particular nodes exceeds the normal operational limits. The subnetworks and their control requirements are achieved through self-organization, which is the novelty of the research. Each intelligent agent has its own knowledge and reasoning logic to plan its own activities. The control actions are coordinated through agent communications within the subnetwork. The agent platform, Presage2, with improved autonomy and agent communication capability, has been used to develop the proposed MAS system and design the agents' behaviors.
KW - Multi-agent system
KW - Presage2
KW - distributed generation
KW - optimal distributed voltage regulation
KW - ϵ decomposition
UR - http://www.scopus.com/inward/record.url?scp=85039975169&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85039975169&partnerID=8YFLogxK
U2 - 10.1109/ISAP.2017.8071400
DO - 10.1109/ISAP.2017.8071400
M3 - Conference contribution
AN - SCOPUS:85039975169
T3 - 2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017
BT - 2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017
Y2 - 17 September 2017 through 20 September 2017
ER -