Abstract
In order to build a local electricity market (LEM), community members can trade electricity peer-to-peer (P2P) with their neighbors. This paper proposes a Hierarchical Bidding and Transaction Structure based on blockchain (HBTS). First, combined with the multi-agents, each microgrid corrects the estimated cost probability distribution of other microgrids by Bayesian theorem, making its probability closer to the accurate probability. Second, for maximize the benefits of the microgrid, this paper uses the Nash equilibrium in the Cournot model to find the optimal quotation and output of different bidding strategies for the microgrid under different power demand conditions. Then the exchange of electricity translates into an exchange of digital proof of electricity purchases and sales of electricity on the Hyperledger Fabric, ensuring the security of the transaction process and the irreparable modification of ledgers. Finally, we verify the effectiveness of the bidding strategy through experiments, and analyze the transaction process.
Highlights
With the advocacy of renewable energy resources (REs) around the world, more and more renewable energy resources have been introduced into the current energy structure [1]
In order to maximize the revenue of each microgrid, this paper proposes an improved bidding algorithm based on Bayesian to provide more accurate bidding strategy guidance for microgrid providers when the total power of microgrid meets the market demand
Due to a large amount of resource waste caused by mining and a long time for Proof of Work (PoW) to reach a consensus, the 10-min block generation process makes it difficult to meet the requirements for commercial use
Summary
With the advocacy of renewable energy resources (REs) around the world, more and more renewable energy resources have been introduced into the current energy structure [1]. In order to achieve a reasonable allocation of resources and sufficient flexibility, an integrated community energy system (ICES) has been proposed as an efficient approach to coordinate distributed energy resources and reorganize local energy systems [8]. To the best of our knowledge, the use of blockchain technology to build a trusted transaction platform between microgrids and to promote the development of microgrid through reasonable bidding strategy are yet to be investigated. In order to maximize the revenue of each microgrid, this paper proposes an improved bidding algorithm based on Bayesian to provide more accurate bidding strategy guidance for microgrid providers when the total power of microgrid meets the market demand.
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