Title :
Economic dispatch in microgrids using multi-agent system
Author :
Niannian Cai ; Nguyen Thi Thanh Nga ; Mitra, Joydeep
Author_Institution :
Electr. & Comput. Eng, Michigan State Univ., East Lansing, MI, USA
Abstract :
In traditional bulk power system, economic dispatch is usually conducted in a central controller, which has access to global system information. However, characterized as flexible and “plug and play”, microgrids are often controlled in a distributed manner. This paper presents a decentralized architecture of multi-agent system for economic dispatch of distributed generators (DG) in microgrids. In this architecture, all DGs are equipped with identical agents, which can only perceive local information or obtain necessary information from their neighbors. By competing with each other, agents attempt to maximize their own profit, thereby tending to an optimal global solution. This paper first develops necessary conditions for minimal cost operation of microgrids. Then it proposes an innovative multi-agent communication algorithm to implement the minimal principle in multi-agent environment based on the consensus theorem. In the end, a five-agent system and a fifty-agent system are investigated to validate the proposed multi-agent algorithm.
Keywords :
distributed power generation; multi-agent systems; power engineering computing; power generation dispatch; power generation economics; bulk power system; central controller; consensus theorem; decentralized architecture; distributed generators; economic dispatch; fifty-agent system; five-agent system; global system information; innovative multiagent communication algorithm; microgrids; multiagent algorithm; multiagent system; Cost function; Economics; Generators; Multiagent systems; Power system stability; economic dispatch; microgrid; multi-agent system;
Conference_Titel :
North American Power Symposium (NAPS), 2012
Conference_Location :
Champaign, IL
Print_ISBN :
978-1-4673-2306-2
Electronic_ISBN :
978-1-4673-2307-9
DOI :
10.1109/NAPS.2012.6336435