Evaluation of Energy Resilience and Cost Benefit in Microgrid with Peer-to-Peer Energy Trading

TL;DR

This paper evaluates how peer-to-peer energy trading in microgrids enhances energy resilience and reduces costs, using complex network measures and game theory to analyze a standard test feeder with renewable sources.

Contribution

It introduces a quantifiable measure of energy resilience using percolation threshold and applies cooperative game theory to model P2P energy trading in microgrids.

Findings

10.67% improvement in system resilience due to P2P trading

5.81% annual cost benefit for prosumers

Resilience measured via percolation threshold in complex networks

Abstract

Integration of distributed energy resources (DERs) at a residential level has given way to the development of a self-sufficient energy-resilient system and peer-to-peer (P2P) energy trading at a community level. Several researchers have developed models to implement energy trading in the P2P network with DERs that enables prosumers to avail cost benefits. However, the impact of DERs and P2P energy network on the system's resilience is not evaluated with a quantifiable measure. In this work, we use the percolation threshold as a measure to quantify energy resilience, which can be computed using complex network. We consider a standard IEEE-123 node test feeder integrated with renewable energy sources and partitioned into microgrids. The microgrid with the highest percolation threshold value is considered for P2P energy trading analysis. We use cooperative game theory to model the P2P energy trading so that all prosumers take part rationally. The simulation is carried out using time series data of houses with varying load profiles, solar generation, and energy storage capacities. The results show 5.81\% of total cost benefit in a year and 10.67\% improvement in the resilience of the system due to P2P energy trading.