This paper proposes a peer-to-peer (P2P) energy trading model to be integrated in the existing distribution system. For this, the operator-oriented trading scheme is developed to lower the barriers to entry into the P2P trading. Under this, the operator, rather than each participant, decides the trading price and trading schedules. To determine the trading price, the marginal price that accommodates various electric tariffs and sales systems are derived. The analysis for the wide range of tariffs and sales system has been conducted to be a trading model that accommodate a variety of current customers in the trading. Furthermore, to be a feasible trading model, service charges that include network usage charge and platform service charge are also derived. The former targets to compensate the utility company’s support that allows participants to trade energy and the latter ensures the platform operator’s economic benefit. Both service charges model
draws the relevant entities’ participations to P2P trading. Based on the derived elements mentioned above, a matching algorithm is finally formulated. For this, a constrained optimization problem is derived, and Lagrange multiplier method is applied to make optimal trading schedule that results in maximizing social welfare
while preventing imbalances in revenue between sellers and buyers. To verify the performance of the proposed P2P trading scheme, actual data for various types of load and distributed energy resources is applied on the IEEE 18 bus distribution system.
