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.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE Power and Energy Society General Meeting, PESGM 2021 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781665405072 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 2021 IEEE Power and Energy Society General Meeting, PESGM 2021 - Washington, United States Duration: 26 Jul 2021 → 29 Jul 2021 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Volume | 2021-July |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2021 IEEE Power and Energy Society General Meeting, PESGM 2021 |
|---|---|
| Country/Territory | United States |
| City | Washington |
| Period | 26/07/21 → 29/07/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- building community
- communication loss
- distributed optimization
- Peer-to-peer energy cooperation
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
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