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.
翻译:克服分配能源(DERs)的可靠性问题的愿望导致研究人员发展了名为虚拟电厂(VPP)的新概念。 VPP应该是在生产者、买主和发电站之间开展智能、安全和智能的能源交易,同时提供高效的能源管理。因此,将块链纳入分散化的VPP网络作为一种新的范例出现,最近关于这种一体化的实验也取得了丰硕的成果。然而,这种权力下放还由于能源管理、信任、可靠性和效率问题而受到影响,因为DERs动态的性质。为了克服这一点,我们本文件首先为VPP提供高效的能源管理战略,以加强需求回应,然后我们提出以能源为导向的交易和木板采矿协议,并将其命名为能源市场的证明(PoEM)。为了进一步加强这一点,我们将PoEM的隐私差异纳入POEM,并提出私人POEM(POEM)模式。我们共同提出一个私营分散化的VPPP交易模式模式,并把它命名为虚拟私人交易(VPT)模式。我们进一步进行广泛的理论分析,并逐步评估VPPPPP公司网络如何加强需求,从而比较市场竞争的概率、稳定、风险、贸易前景分析。