## 1 Introduction
### Literature Review
#### 1.1.1 Trading Strategies for P2P Platforms  
One of the main components of P2P trading is the type of trading mechanism used for sharing PV energy between the prosumers and the customers. Different bidding strategies have been presented in the literature for P2P trading. In [11], a continuous double auction (CDA)-based market framework was formulated while using trading mechanisms such as the eyes on best (EOB) price and the zero intelligent (ZI) strategy. A privacy-preserved trading platform for the P2P market was developed in [12] for urban community microgrids while using the CDA mechanism. The authors in [12] proposed a price-targeting mechanism to maximize the profit of the participants in a decentralized manner. A nonuniform clearing mechanism using the k-continuous double auctions for the CDA-based structures was presented in [13] to optimally decide the clearing price based on the market behavior. The presented modification to the CDA trading mechanism in [13] resulted in a market-dependent clearing price to ensure maximum welfare for the customers. A robust trading price mechanism that considered the preference of the prosumers was suggested in [14] to develop the P2P structure within the microgrid. A dynamic price mechanism to find the equilibrium point between the traded quantity and the buy/sell price has been suggested in [15] for a smart community having renewable energy resources.  
A blockchain-based implementation for the CDA markets was suggested in [16] using a game theory (GT) approach to optimally decide the clearing price for the customers. Similarly, the authors in [17] developed a decentralized GT pricing mechanism to solve the P2P trading problem in an energy blockchain environment to optimize the welfare of the prosumers in the microgrid. Various trading strategies such as uniform k-DA,discriminatory k-DA, Vickrey-Clark-Groves, and trade reduction auction mechanisms were compared in [18] for solar-based P2P trading platforms. The authors in [18] compared the bidding strategies under varying penetrations of PV energy resources for a suggested transactive energy framework. A cooperative GT-based approach was presented in [19] for a local energy community framework for maximizing the social welfare of both the customers and prosumers. A dual bidding strategy considering both inter- and intracommunity trading was suggested in [20] to enhance the economic welfare of the market participants while considering the uncertainties in the renewable power generation.  
The mentioned literature survey covers the most commonly used trading strategies for the P2P platform. However, in the majority of the literature above, the network constraints were not considered while modeling the P2P trading structure. The energy transactions between the customers of a P2P market take place over the physical distribution lines of the utility, which are prone to trading losses. Similarly, the majority of implementations of P2P environments require a central entity to coordinate the transactions between participants. This requires a certain transaction fee for each P2P order for the market services provided by the market operator. The next part of the introduction provides an overview of the various implementations of P2P networks while considering network parameters.