OPTIMIZED INTEGERATION OF DISTRIBUTED ENERGY RESOURCES FOR P2P ENERGY TRADING IN DISTRIBUTION NETWORKS USING THE COS

Abstract

The growing penetration of different types of DERs, such as PV systems, WTs, BEVs, and BESS, is gradually changing the passive conventional distribution network into an active energy community. As the consumers become prosumers with the capability to produce, store, and trade electricity, optimal coordination of DERs is crucial for the facilitation of P2P energy trading in order to improve the local energy balance and enhance the overall performances of the distribution system. This paper presents an optimization framework to maximize the P2P trading benefits in an IEEE 12-bus radial distribution network through strategic integration and operation of DERs. The recently introduced COA is used for the optimal siting, sizing, and dispatch of PV, WT, BEVs, and BESS units with a view to maximizing the trading potential along with minimum network losses and improved voltage stability. Unlike the traditional DER scheduling models, the proposed model allows dynamic interaction between the consumers and prosumers by facilitating efficient trading of surplus renewable generation within the local network. The optimization further coordinates the charging/discharging cycles of both the BEVs and BESS units in order to improve the local energy availability and market participation of consumers in the distribution network. Comparative findings show that, in comparison to other traditional COA considerably increases the energy trading volume, lowers the active power losses, and improves the voltage profiles. The findings also demonstrate that a cost- effective and sustainable P2P energy trading environment can be established in future distribution networks through coordinated DER operation enabled by an effective metaheuristic optimizer.