Impact of Peer-to-Peer Energy Trading on Peak-to-Valley Difference

Peer-to-peer energy trading has become a promising energy management technique with the increasing penetration of distributed energy resources in distribution networks. Besides bringing benefits to both producers and consumers, peer-to-peer energy trading also impacts the net load curves of distribution networks. This paper first constructs a Nash bargaining-based peer-to-peer energy trading model and then analyzes the impact on the net load curve with considering different market scenarios. Simulation results shows that the peak-to-valley difference in the net load curve becomes smaller when there are more flexible loads participating in peer-to-peer energy trading.