Blockchain-Enabled Real-Time Energy Trading Between Smart Grids

The rapid development of distributed energy resources and the increasing involvement of prosumers in the modern smart grid have exposed significant weaknesses in traditional centralised energy markets, including a slow settlement process, a lack of transparency, inefficiency in the energy delivery process, and challenges in integrating renewables promptly. These issues typically result in an unequal load distribution, wasted en-route power, late payments, and dissatisfied Therefore, it is essential to design a decentralised, secure, and scalable solution that can handle dynamic grid conditions. In this paper, we propose a blockchain-based energy trading framework that enables instant and transparent transactions between local smart grids. The system integrates Web 3.0 technology, IoT-enabled smart meters, and tokenised energy units governed by smart contracts. A dynamic pricing algorithm continuously optimises energy distribution based on supply, demand, and grid load. Furthermore, an additional Airwallet security layer ensures encrypted transactions and verified identities of all participants. Large-scale simulations show substantial improvements in throughput, latency, and pricing stability over traditional models. Our model proposes a dynamic pricing algorithm that constantly optimises energy distribution according to current supply, demand, and grid load. A specific Airwallet security layer would guarantee encrypted transactions and Forceful identity management of all participants. The platform can convert renewable energy into digital units, enabling small-scale trading and self-governance of market functioning, which results in increased involvement of prosumers and improved communication about the use of renewable energy. Large-scale tests on several smart grids with synthetic power generation and power see profiles modelled by renewable-generated and renewable power usage show a five times increase in throughput and latency compared to traditional centralised systems. Moreover, dynamic pricing reduces discrepancies in peaks and downturns, as well as transmission renewal. Additionally, the use of dynamic pricing eliminates surge hazards. Furthermore, transparent and timely payments increase trust and satisfaction among consumers. The suggested solution therefore stands at the best position to resolve the dynamical challenges of the contemporary energy systems, as it provides a scalable, secure and adaptable model capable of enhancing operational efficiencies besides fostering adoption of renewable energies, improving grid stability and laying the groundwork for the next generation of intelligent and self-regulating vehicles of energy companies. On the whole, this paper demonstrates that real-time trading with blockchain can bring about a significant change in making local energy distribution more dependable and sustainable, and, more importantly, centred on people.

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