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Virtual Organization Structure for Agent-Based Local Electricity Trading
by
Juan Manuel Corchado
, Amin Shokri Gazafroudi
, Javier Prieto
in
Algorithms
/ Athletic drafts & trades
/ Consumers
/ Consumption
/ Decentralization
/ decentralized energy management system
/ decentralized energy management system; local energy trading; multi-agent system; optimization; smart grid
/ Decision making
/ Electricity
/ Energy industry
/ Flexibility
/ local energy trading
/ multi-agent system
/ optimization
/ Profits
/ smart grid
/ Smart grid technology
/ T
/ Technology
2019
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Virtual Organization Structure for Agent-Based Local Electricity Trading
by
Juan Manuel Corchado
, Amin Shokri Gazafroudi
, Javier Prieto
in
Algorithms
/ Athletic drafts & trades
/ Consumers
/ Consumption
/ Decentralization
/ decentralized energy management system
/ decentralized energy management system; local energy trading; multi-agent system; optimization; smart grid
/ Decision making
/ Electricity
/ Energy industry
/ Flexibility
/ local energy trading
/ multi-agent system
/ optimization
/ Profits
/ smart grid
/ Smart grid technology
/ T
/ Technology
2019
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Do you wish to request the book?
Virtual Organization Structure for Agent-Based Local Electricity Trading
by
Juan Manuel Corchado
, Amin Shokri Gazafroudi
, Javier Prieto
in
Algorithms
/ Athletic drafts & trades
/ Consumers
/ Consumption
/ Decentralization
/ decentralized energy management system
/ decentralized energy management system; local energy trading; multi-agent system; optimization; smart grid
/ Decision making
/ Electricity
/ Energy industry
/ Flexibility
/ local energy trading
/ multi-agent system
/ optimization
/ Profits
/ smart grid
/ Smart grid technology
/ T
/ Technology
2019
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Virtual Organization Structure for Agent-Based Local Electricity Trading
Journal Article
Virtual Organization Structure for Agent-Based Local Electricity Trading
2019
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Overview
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.
Publisher
MDPI AG
Subject
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