## 2 Literature Survey  
Recent technological advancements have created enormous opportunities for P2P energy trading, so it is considered as one of the most promising solutions to address many issues in the energy sector such as integrating renewable energy, mitigating grid congestion, and reducing energy-related costs [1,7]. In P2P trading, prosumers can directly exchange energy with each other. This results in a decentralized and dynamic market, where energy can be exchanged based on the real-time supply and demand conditions of participants [3]. This business model promotes market efficiency and motivates producers and consumers to participate more actively in order to develop sustainable energy consumption practices [3]. However, integrating P2P trading in markets such as South Korea requires a comprehensive framework that considers local economic, technical, and regulatory constraints, as an appropriate regulatory and pricing structure already exists in South Korea, which is a tiered pricing system [4]. This paper intends to contribute to the formulation of a theoretical P2P structure that can enhance prosumer efficiency, adapt to tiered pricing structures, and ensure a fit for operation with the grid. Numerous studies have been conducted with the aim of providing insights into P2P energy trading. The authors of [8] propose a new pricing model for P2P trading in a microgrid environment. According to the authors, they have suggested an evaluation mechanism in an attempt to enhance market efficiency with regard to the microgrid and the earnings proportion for households in the microgrid. The study is situated against the background of advanced distributed energy resources (DERs) and changing consumer functions from simply customers to producers of energy, known as prosumers. The value-based pricing model is further supported by an evaluation-based framework that provides feedback on household energy service usage. This optimal quotation point of energy bidding involves an evaluation coefficient for each household obtained from the results of previous evaluations. Households that secure and maintain higher levels of services have higher evaluation coefficients, which makes them more favorable for ranking in the auction. This pricing scheme is supposed to rely on performance-based forms of evaluation, thus keeping an impact on the general efficiency and reliability within the markets at heart. This approach helps to favor those households that have a good performance in comparison with others, thus stimulating the increase in the level of service, as well as contributing to the leaps and bounds in the development of competitive energy market within the microgrid. Additional research has evaluated different types of electricity trading such as Net Metering, Feed-in Tariff (FIT), and P2P [9]. Researchers also estimate the Levelized Cost of Electricity (LCOE) for each type of trading, uncovering that P2P-Tier 1 is the least costly trading method. It also analyses the evaluation of monthly electricity tariffs on the basis of progressive tariffs and verifies that there are considerable amounts of savings because of improved energy intensity and effective trading outlets. In [10], insights are gained based on the analysis of the maximum electrical trading prices, which show the interdependence between monthly electricity consumption, electricity purchase rates, and the profitability of the electric trading process for both buyers and sellers. Furthermore, the paper illustrates that higher committee consumption increases maximum trades for consumers when monthly consumption is also higher, while the minimum number of maximum trades occurs when the committee's purchase rate is higher. Otherwise, fluctuations in trading performance are observed depending on the seasons of the year, and the summer period accommodates progressive tariffs at relatively lower premiums.