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Open AccessArticle

Virtual Organization Structure for Agent-Based Local Electricity Trading

BISITE Research Group, University of Salamanca, Edificio I+D+i, 37008 Salamanca, Spain
Air Institute, IoT Digital Innovation Hub (Spain), Carbajosa de la Sagrada, 37188 Salamanca, Spain
Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
Pusat Komputeran dan Informatik, Universiti Malaysia Kelantan, Karung Berkunci 36, Pengkaan Chepa, Kota Bharu 16100, Kelantan, Malaysia
Author to whom correspondence should be addressed.
Energies 2019, 12(8), 1521;
Received: 10 March 2019 / Revised: 16 April 2019 / Accepted: 17 April 2019 / Published: 22 April 2019
(This article belongs to the Special Issue Distributed Energy Resources Management 2018)
End-users are more active because of demand response programs and the penetration of distributed energy resources in the bottom-layer of the power systems. This paper presents a virtual organization of agents of the power distribution grid for local energy trade. An iterative algorithm is proposed; it enables interaction between end-users and the Distribution Company (DisCo). Then, the performance of the proposed algorithm is evaluated in a 33-bus distribution network; its effectiveness is measured in terms of its impact on the energy trading scenarios and, thus, of its contribution to the energy management problem. According to the simulation results, although aggregators do not play the role of decision makers in the proposed model, our iterative algorithm is profitable for them. View Full-Text
Keywords: decentralized energy management system; local energy trading; multi-agent system; optimization; smart grid decentralized energy management system; local energy trading; multi-agent system; optimization; smart grid
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Shokri Gazafroudi, A.; Prieto, J.; Corchado, J.M. Virtual Organization Structure for Agent-Based Local Electricity Trading. Energies 2019, 12, 1521.

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