Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.epsr.2010.07.019
Title: Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system
Authors: Logenthiran, T.
Srinivasan, D. 
Khambadkone, A.M. 
Keywords: Distributed energy resources
Integrated microgrids
Microgrid
Multi-agent system
Optimal resource scheduling
Wholesale energy market
Issue Date: Jan-2011
Source: Logenthiran, T., Srinivasan, D., Khambadkone, A.M. (2011-01). Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system. Electric Power Systems Research 81 (1) : 138-148. ScholarBank@NUS Repository. https://doi.org/10.1016/j.epsr.2010.07.019
Abstract: This paper proposes a multi-agent system for energy resource scheduling of an islanded power system with distributed resources, which consists of integrated microgrids and lumped loads. Distributed intelligent multi-agent technology is applied to make the power system more reliable, efficient and capable of exploiting and integrating alternative sources of energy. The algorithm behind the proposed energy resource scheduling has three stages. The first stage is to schedule each microgrid individually to satisfy its internal demand. The next stage involves finding the best possible bids for exporting power to the network and compete in a whole sale energy market. The final stage is to reschedule each microgrid individually to satisfy the total demand, which is the addition of internal demand and the demand from the results of the whole sale energy market simulation. The simulation results of a power system with distributed resources comprising three microgrids and five lumped loads show that the proposed multi-agent system allows efficient management of micro-sources with minimum operational cost. The case studies demonstrate that the system is successfully monitored, controlled and operated by means of the developed multi-agent system. © 2010 Elsevier B.V.
Source Title: Electric Power Systems Research
URI: http://scholarbank.nus.edu.sg/handle/10635/56702
ISSN: 03787796
DOI: 10.1016/j.epsr.2010.07.019
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