Active User Participation in Energy Markets Through Activation of Distributed Energy Resources

Peer-to-peer (P2P) energy trading is gaining attention as a technology to effectively handle already existing distributed energy resources (DER). In order to manage a large number of DER, it is necessary to increase the number of P2P energy trading participants. For that, designing incentives for participants to engage in P2P energy trading is important. This paper describes a user-centric cooperative mechanism that enhances user participation in P2P energy trading. The key components of this incentive for participants to engage in P2P energy trading are described and evaluated in this study. The goal of the proposal is to make it possible to conduct economic transactions while reflecting the preferences of the traders in the ordering process, making it possible to conduct transactions with minimal effort. As a case study, the Higashi-Fuji demonstration experiment conducted in Japan verified the proposed mechanism. In this experiment, 19 households and 9 plugin hybrid vehicles (PHV) were evaluated. As a result, the study confirmed that prosumers were able to sell their surplus electricity, and consumers were able to preferentially purchase renewable energy when it was available. In addition, those trades were made economically. All trades were made automatically, and this efficiency allowed the users to continue using the P2P energy trading.

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Model for the integration of distributed energy resources in energy markets by an aggregator

2017 IEEE Manchester PowerTech ◽

10.1109/ptc.2017.7981234 ◽

2017 ◽

Cited By ~ 6

Author(s):

Joao Spinola ◽

Pedro Faria ◽

Zita Vale

Keyword(s):

Energy Markets ◽

Energy Resources ◽

Distributed Energy Resources ◽

Distributed Energy

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Review of Computational Intelligence Methods for Local Energy Markets at the Power Distribution Level to Facilitate the Integration of Distributed Energy Resources: State-of-the-art and Future Research

Energies ◽

10.3390/en13010186 ◽

2020 ◽

Vol 13 (1) ◽

pp. 186 ◽

Cited By ~ 2

Author(s):

Pavlos S. Georgilakis

Keyword(s):

Power Distribution ◽

Distribution Systems ◽

Energy Markets ◽

Optimal Operation ◽

Energy Resources ◽

Distributed Energy Resources ◽

Future Research ◽

Local Energy ◽

Distributed Energy ◽

Computational Intelligence Methods

The massive integration of distributed energy resources in power distribution systems in combination with the active network management that is implemented thanks to innovative information and communication technologies has created the smart distribution systems of the new era. This new environment introduces challenges for the optimal operation of the smart distribution network. Local energy markets at power distribution level are highly investigated in recent years. The aim of local energy markets is to optimize the objectives of market participants, e.g., to minimize the network operation cost for the distribution network operator, to maximize the profit of the private distributed energy resources, and to minimize the electricity cost for the consumers. Several models and methods have been suggested for the design and optimal operation of local energy markets. This paper introduces an overview of the state-of-the-art computational intelligence methods applied to the optimal operation of local energy markets, classifying and analyzing current and future research directions in this area.

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