Problem
Research questions and friction points this paper is trying to address.
distributed electricity trading
blockchain consensus
decentralized coordination
fair economic settlement
trustworthy operation
A Blockchain Consensus Mechanism for Distributed Electricity Trading
🤖 AI Summary
This study addresses four key challenges in decentralized power systems lacking a central authority: decentralized coordination, fair settlement, trustworthy operation, and system optimization. To tackle these issues, the authors propose a novel blockchain consensus mechanism termed Proof of Energy (PoE). PoE innovatively maps each node’s actual energy contribution into a unified value metric—Energy Contribution Units (ECUs)—and leverages Verifiable Random Functions (VRFs) to allocate block proposal rights strictly in proportion to participants’ contributions. This design ensures incentive compatibility and resistance to manipulation, significantly enhancing grid coordination, economic fairness, and operational efficiency. The resulting framework establishes a secure and trustworthy foundation for decentralized energy value distribution.
📝 Abstract
Distributed power systems complement centralized grids by coordinating distributed energy resources (DERs) to achieve regional energy self-sufficiency. Scaling such systems raises four persistent challenges: decentralized coordination, fair economic settlement, trustworthy operation, and system optimization, all without a central authority. This paper proposes Proof of Energy (PoE), a blockchain consensus mechanism that addresses these challenges through cryptographically secured, contribution-proportional node selection. In PoE, block generation rights are tied directly to real-world energy contributions, enabling distributed consensus without centralized dispatch. An Energy Contribution Unit (ECU) model is introduced to map heterogeneous energy services onto a unified value metric via scarcity-weighted normalization. A Verifiable Random Function (VRF)-based proposal mechanism then ensures selection probability is strictly proportional to node contribution, preserving fairness and resisting manipulation. Case studies validate PoE across three dimensions: grid coordination, incentive fairness, and optimization efficiency. The result is a cryptographically secured, incentive-compatible framework for decentralized value distribution in energy systems.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Proof of Energy
Energy Contribution Unit
Verifiable Random Function
Decentralized Electricity Trading
Blockchain Consensus
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