Peer-to peer energy trading is the idea that excess power generated by one end user would be sold to other end users hence compensating for the high cost of setting up a renewable energy system. The Agile Software Development Model with Extreme Programming Method will be used in this proposed peer-to-peer energy trading system. The recent invention of renewable energy systems has been game-changing. However, most of these systems are expensive to set up, localized, and mostly privately owned. Analysts believe that if these individual systems can have a shared pool/database where energy can be shared between end-users, we might have reached the Golden age of energy. Poor power supply has plagued many parts of the world. The major economic giants largely depend upon the steady electrical power supply. Many parts of the world utilize a conventional electric distribution system in which electricity is generated primarily from hydro dams and gas-powered power plants and distributed on a unidirectional path to end-users. Recently, there has been a fair acceptance of renewable energy systems. As per the industry stakeholders, renewable energy options can immensely contribute to the power system in any country. This research will look at the peer-to-peer energy trading system, requirements, architecture, ICT infrastructures, and the possibility of implementing such a system while using the existing Energy transmission system and distribution facilities. It aims to create software capable of simulating peer-to-peer energy trading software. It provides a web-based system with a user-friendly interface for accessing different system parts. This allows trading to be carried out effectively on the simulation. Users will be able to manage all trading using a single dashboard. This paper will also analyze a model of a peer-to-peer energy trading system.

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