DocumentCode :
2267147
Title :
A multi-agent approach to unit commitment problems
Author :
Nagata, T. ; Ohono, M. ; Kubokawa, J. ; Sasaki, H. ; Fujita, H.
Author_Institution :
Hiroshima Inst. of Technol., Japan
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
64
Abstract :
This paper proposes a multi-agent system for solving unit commitment problems. Multi-agent is a new paradigm for developing software applications. Coordinating the behavior of autonomous agents is a key issue in agent oriented programming techniques today. In this paper, we develop a power system unit commitment application using multi-agent architecture. Our model has the following characteristics: (1) the system consists of a single facilitator agent, several generator-agents, and two kinds of mobile agent; (2) the facilitator agent is developed to act as a manager for the process by using the singleton design pattern. The mobile agent and generator agent have simple negotiation strategies; and (3) the message object is developed to communicate between agents using a KQML-like object. The proposed approach is applied to a simple system, and the results show that the multi-agent system is able to find optimal solutions for unit commitment problems.
Keywords :
multi-agent systems; object-oriented programming; power engineering computing; power generation scheduling; software agents; KQML-like object; agent oriented programming techniques; autonomous agents behaviour coordination; generator-agents; mixed integer programming; mobile agent; multi-agent system; negotiation strategies; singleton design pattern; software applications; unit commitment; Application software; Control systems; Decision making; Dynamic programming; Lagrangian functions; Linear programming; Mobile agents; Multiagent systems; Power system modeling; Power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society Winter Meeting, 2002. IEEE
Print_ISBN :
0-7803-7322-7
Type :
conf
DOI :
10.1109/PESW.2002.984955
Filename :
984955
Link To Document :
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