Virtual Organization Structure for Agent-Based Local Electricity Trading

Amin Shokri Gazafroudi, Javier Prieto and Juan Manuel Corchado
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Amin Shokri Gazafroudi: BISITE Research Group, University of Salamanca, Edificio I+D+i, 37008 Salamanca, Spain
Javier Prieto: BISITE Research Group, University of Salamanca, Edificio I+D+i, 37008 Salamanca, Spain
Juan Manuel Corchado: BISITE Research Group, University of Salamanca, Edificio I+D+i, 37008 Salamanca, Spain

Energies, 2019, vol. 12, issue 8, 1-11

Abstract: 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.

Keywords: decentralized energy management system; local energy trading; multi-agent system; optimization; smart grid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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