Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

Design of a multi-agent system for distributed voltage regulation

Chen, Minjiang and Athanasiadis, Dimitrios and Al Faiya, Badr and McArthur, Stephen and Kockar, Ivana and Lu, Haowei and De Leon, Francisco (2017) Design of a multi-agent system for distributed voltage regulation. In: 2017 19th International Conference on Intelligent Systems Application to Power Systems (ISAP). IEEE, Piscataway, NJ.. (In Press)

[img] Text (Chen-etal-ISAP-2017-Design-of-a-multi-agent-system-for-distributed-voltage-regulation)
Chen_etal_ISAP_2017_Design_of_a_multi_agent_system_for_distributed_voltage_regulation.pdf - Accepted Author Manuscript
Restricted to Repository staff only until 18 September 2017.

Download (1MB) | Request a copy from the Strathclyde author

Abstract

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.