Market segmentation for P2P energy trading based on power flow tracing

Abstract

Peer-to-peer (P2P) energy trading is gaining the attention of prosumers avid to participate in the electricity markets. In most P2P energy trading analysis, the exchange accounts for the electricity export and import within the same time range ignoring the physical feasibility of the power supply from the generator to the consumer and the usage of the distribution network assets. In this work the feasible P2P market structure based on dynamic power flow tracing is explored. The market segmentation into potential markets is modelled and formulated by means of second-order cone programming. As a result, the active power marketentry limitations for prosumers are identified, the losses incurred by distributed energy resources in power transactions are approximated and the potential of the methodology is revealed, paving the way towards fair and transparent P2P electricity markets.