Decentralized Prosumer-Centric P2P Electricity Market Coordination with Grid Security

Abstract

The increasing number of prosumers and the accompanying greater use of decentralised energy resources (DERs) bring new opportunities and challenges for the traditional electricity systems and the electricity markets. Microgrids, virtual power plants (VPPs), peer-to-peer (P2P) trading and federated power plants (FPPs) propose different schemes for prosumer coordination and have the potential of becoming the new paradigm of electricity market and power system operation. This paper proposes a P2P trading scheme for energy communities that negotiates power flows between participating prosumers with insufficient renewable power supply and prosumers with surplus supply in such a way that the community welfare is maximized while avoiding critical grid conditions. For this purpose, the proposed scheme is based on an Optimal Power Flow (OPF) problem with a Multi-Bilateral Economic Dispatch (MBED) formulation as an objective function. The solution is realized in a fully decentralized manner on the basis of the Relaxed Consensus + Innovations (RCI) algorithm. Network security is ensured by a tariff-based system organized by a network agent that makes use of product differentiation capabilities of the RCI algorithm. It is found that the proposed mechanism accurately finds and prevents hazardous network operations, such as over-voltage in grid buses, while successfully providing economic value to prosumers’ renewable generation within the scope of a P2P, free market.

Research on real-time storage of hybrid data for multi-task dispatching of power grid supported by new mining method

“…The ELASTICO protocol, an open fragmentation protocol, is utilized to perform hash operations using public keys and random numbers. This generates unique hash values and creates effective blockchain identities [18][19][20]. The consensus mechanism for real-time data storage in this study utilizes three approaches to manage data storage in fragments.…”

Enhancing Global Blockchain Privacy via a Digital Mutual Trust Mechanism

“…Although PBFT has Byzantine Fault Tolerance, high efficiency, and low power consumption [18][19][20], it also has shortcomings such as malicious nodes that cannot be eliminated in time and C/S response mode; since the number of nodes in the network cannot be dynamically sensed, the efficiency of consistency will decline when the number of nodes increases. To solve these problems, the PBFT consistency protocol and master node scheduling are optimized based on RPoS, and a dynamic Byzantine consensus algorithm (DPBFT) is proposed.…”

Energy Management Scheduling for Microgrids in the Virtual Power Plant System Using Artificial Neural Networks

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