A Grid-friendly Neighborhood Energy Trading Mechanism
File version
Version of Record (VoR)
Author(s)
Liu, Aaron
Ledwich, Gerard
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
Abstract
More customers are tending to install batteries with photovoltaic (PV), so they can better control their electricity bills. In this context, customers may be tempted to go off-grid at a substantial up-front cost, leading electricity companies into a death spiral, thereby raising electricity price further on those remaining on grid. Neighborhood energy markets can promote the sharing of locally generated renewable energy and encourage prosumers to stay on grid with financial incentives. A novel neighborhood energy trading (NET) mechanism is developed using the topology of existing radial distribution network to encourage sustainable energy sharing in neighborhood and encourage prosumers to stay on grid. This mechanism considers loss, congestion management, and voltage regulation, and it is scalable with low computation and communication overhead. An IEEE test system is used to validate the NET mechanism. The simulation shows that the price and flow results are obtained with fast computation speed (within 10 iterations) and with loss reflected, flow limit reinforced, and voltage regulated. This study proves that the economic demand-supply-based pricing mechanism can be applied effectively in distribution networks to help encourage more renewable energy sharing in sustainable neighborhood and avoid energy network death spiral.
Journal Title
Journal of Modern Power Systems and Clean Energy
Conference Title
Book Title
Edition
Volume
10
Issue
5
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Item Access Status
Note
Access the data
Related item(s)
Subject
Electrical energy storage
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Peer-to-peer computing
Persistent link to this record
Citation
Abeygunawardana, A; Liu, A; Ledwich, G, A Grid-friendly Neighborhood Energy Trading Mechanism, Journal of Modern Power Systems and Clean Energy, 2022, 10 (5), pp. 1349-1357