This paper presents the power management of the nanogrid clusters assisted by
a novel peer-to-peer(P2P) electricity trading. In our work, unbalance of power
consumption among clusters is mitigated by the proposed P2P trading method. For
power management of individual clusters, multi-objective optimization
simultaneously minimizing total power consumption, portion of grid power
consumption, and total delay incurred by scheduling is attempted. A renewable
power source photovoltaic(PV) system is adopted for each cluster as a secondary
source. The temporal surplus of self-supply PV power of a cluster can be sold
through P2P trading to another cluster (s) experiencing temporal power
shortage. The cluster in temporal shortage of electric power buys the PV power
to reduce peak load and total delay. In P2P trading, a cooperative game model
is used for buyers and sellers to maximize their welfare. To increase P2P
trading efficiency, future trends of load demand and PV power production are
considered for power management of each cluster to resolve instantaneous
unbalance between load demand and PV power production. To this end, a gated
recurrent unit network is used to forecast future load demand and future PV
power production. Simulations verify the effectiveness of the proposed P2P
trading for nanogrid clusters.Comment: This article is submitted for publication in Sustainable Cities and
Societ