  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 energy market (PoEM).
To enhance it further, we integrate differential privacy in PoEM and propose a
Private PoEM (PPoEM) model. Collectively, we propose a private decentralized
VPP trading model and named it as Virtual Private Trading (VPT) model. We
further carry out extensive theoretical analysis and derive step-by-step
valuations for market race probability, market stability probability, energy
trading expectation, winning state probability, and prospective leading time
profit values. Afterwards, we carry out simulation-based experiments of our
proposed model. The performance evaluation and theoretical analysis of our VPT
model make it one of the most viable models for blockchain based VPP networks
as compared to other state-of-the-art works.
