VPT: Privacy Preserving Energy Trading and Block Mining Mechanism for Blockchain based Virtual Power Plants
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen

TL;DR
This paper introduces a privacy-preserving energy trading and block mining mechanism for blockchain-based virtual power plants, enhancing energy management, trust, and efficiency through a novel protocol and differential privacy integration.
Contribution
It proposes the VPT model with a new energy-oriented trading protocol, PoEM, and its privacy-enhanced version, PPoEM, addressing decentralization challenges in VPPs.
Findings
The VPT model improves energy trading efficiency and privacy.
Theoretical analysis confirms increased market stability and profit potential.
Simulation results demonstrate superior performance over existing models.
Abstract
The desire to overcome reliability issues of distributed energy resources (DERs) lead researchers to development of a novel concept named as virtual power plant (VPP). VPPs are supposed to carry out intelligent, secure, and smart energy trading among prosumers, buyers, and generating stations along with providing efficient energy management. Therefore, integrating blockchain in a decentralized VPP network emerged as a new paradigm, and recent experiments over this integration have shown fruitful results. However, this decentralization also suffers with energy management, trust, reliability, and efficiency issues due to the dynamic nature of DERs. In order to overcome this, in this paper, we first work over providing an efficient energy management strategy for VPP to enhance demand response, then we propose an energy oriented trading and block mining protocol and name it as proof of…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Smart Grid Energy Management · Smart Grid Security and Resilience
