Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network

TL;DR

This paper introduces a communication-efficient, privacy-aware peer-to-peer energy trading framework for building communities that maximizes social welfare and remains robust despite communication failures.

Contribution

It formulates building energy cooperation as a social welfare maximization problem and develops a robust distributed algorithm for energy trading over lossy networks.

Findings

Significant cost reduction in building communities.

Algorithm remains effective with partial communication links.

Robustness to communication failures during energy trading.

Abstract

Energy management of buildings is of vital importance for the urban low-carbon transition. This paper proposes a sustainable energy cooperation framework for the building community by communication-efficient peer-to-peer transaction. Firstly, the energy cooperation of buildings is formulated as a social welfare maximization problem, in which buildings may directly trade energy with neighbors. In addition, considering privacy concerns and communication losses arisen in peer-to-peer energy trading, a communication-failure-robust distributed algorithm is developed to achieve the optimal energy dispatch solutions. Finally, simulation results show that the proposed framework substantially reduces the total cost of the building community and the algorithm is robust to communication losses in the network when only part of links (even one link) are active during iterations.