Multi-agent-based Cooperative Control for Hybrid Renewable Energy Generation System

DOI

10.2991/icmia-16.2016.134How to use a DOI?

Keywords

Hybrid renewable energy generation system; Multi-agent; Cooperative control; Particle swarm algorithm.

Abstract

A multi-agent-based cooperative control strategy (MACCS) is proposed for hybrid renewable energy generation system with large-scale wind–photovoltaic energy storage units (WPSUs). The proposed system adopts the negotiation model of the contract net protocol with the non-fixed client–server cooperative mechanism among agents. In the cooperative control process, the proposed system solves the global optimal-energy distribution plan of the system by considering the self-constraint and control objective of each agent and by using the improved particle swarm algorithm to achieve the maximum economic benefit on the basis of stable operations. A case is given to discuss the behavior characteristics of the agent and communication negotiation process and to verify that the system designed in this paper can increase the overall economy of the system.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qiang Wang
AU  - Jun Chen
PY  - 2016/11
DA  - 2016/11
TI  - Multi-agent-based Cooperative Control for Hybrid Renewable Energy Generation System
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.134
DO  - 10.2991/icmia-16.2016.134
ID  - Wang2016/11
ER  -