Power Management of Nanogrid Cluster with P2P Electricity Trading Based on Future Trends of Load Demand and PV Power Production

TL;DR

This paper proposes a novel power management approach for nanogrid clusters using P2P electricity trading, incorporating future load and PV power forecasts to optimize energy sharing, reduce peak loads, and improve overall efficiency.

Contribution

It introduces a P2P trading method combined with multi-objective optimization and future trend forecasting for nanogrid clusters, enhancing power balance and efficiency.

Findings

P2P trading effectively mitigates power imbalance among clusters.

Forecasting future load and PV production improves trading efficiency.

Simulations confirm the proposed method's effectiveness.

Abstract

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.