Abstract
In this paper, distribution-level peer-to-peer energy exchange is proposed that allows increased matching between load and generation nodes. Contributions of the proposed improved matching system between the local load and generation nodes aim at making efficient use of unused power generation, reducing the cost of electrical energy for consumers, and assisting utility companies by reducing transmission line congestion. The proposed system for matching the load and generation nodes consists of a financial layer and technical layer. In the financial layer, nodes with an excess of energy provide a price to sell energy, while the nodes needing energy bid on a price to purchase energy. A market-clearing mechanism using pool clearing is applied to determine a final price for peer-to-peer exchange. The technical layer determines the connection of energy transfer between the generation and load nodes while considering the distance, power flow constraints, and specified time windows. The proposed approach is verified in a five-node system and the results are discussed.
Highlights
A method for peer-to-peer energy exchange in a distribution grid that allows matching between the load and generation at a distribution level to be increased is proposed
In [6], a transactive energy framework with a Comprehensive Energy Management System (CEMS) for distribution systems with multiple microgrids is proposed to simplify the complex nature of sharing power, while increasing load balancing on a slightly larger scale
Improvement of the economical aspect of our current energy infrastructure through peer-to-peer (P2P) energy sharing is another popular area of research and the topic heavily relies on microgrid technology
Summary
A method for peer-to-peer energy exchange in a distribution grid that allows matching between the load and generation at a distribution level to be increased is proposed. The proposed method for matching the load and generation consists of a financial layer and technical layer. The nodes with an excess of energy provide a price to sell energy, while the nodes needing energy bid on a price to purchase energy. A market-clearing mechanism using pool clearing is applied to determine a final price for peer-to-peer exchange. The generator nodes find the nearest load nodes and transfer their excess energy within a specified time window whilst considering power flow constraints. The proposed approach is verified in a five-node system and the obtained results are discussed
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