Towards realization of an Energy Internet: designing distributed energy systems using game-theoretic approach
File(s)
Published version
Author(s)
Perera, ATD
Wang, Z
Nik, Vahid M
Scartezzini, Jean-Louis
Type
Journal Article
Abstract
Distributed energy systems play a significant role in the integration of renewable energy technologies. The Energy Internet links a fleet of distributed energy systems to each other and with the grid. Interactions between the distributed energy systems via information sharing could significantly enhance the efficiency of their real-time operation. However, privacy and security concerns hinder such interactions. A game-theoretic approach can help in this regard, and enable consideration of some of these factors when maintaining interactions between energy systems. Although a game-theoretic approach is used to understand energy systems' operation, such complex interactions between the energy systems are not considered at the early design phase, leading to many practical problems, and often leading to suboptimal designs. The present study introduces a game-theoretic approach that enables consideration of complex interactions among energy systems at the early design phase. Three different architectures are considered in the study, i.e., energy eystem prior to grid (ESPG), fully cooperative (FCS), and non-cooperative (NCS) scenarios, in which each distributed energy system is taken as an agent. A novel distributed optimization algorithm is developed for both FCS and NCS. The study reveals that FCS and NCS reduce the cost, respectively, by 30% and 15% compared to ESPG. In addition to cost reduction, there is a significant change in the energy system design when moving from FCS to NCS scenarios, clearly indicating the requirement for a scenario that lies between NCS and FCS. This will lead to reducing design costs while maintaining privacy.
Date Issued
2021-02-01
Date Acceptance
2020-12-09
Citation
Applied Energy, 2021, 283
ISSN
0306-2619
Publisher
Elsevier
Journal / Book Title
Applied Energy
Volume
283
Copyright Statement
© 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000613287800002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
ALLOCATION
CLIMATE
Distributed power generation
ELECTRICAL HUBS
Energy & Fuels
Engineering
Engineering, Chemical
Game-theory
GENERATION
IMPACT
MULTIAGENT SYSTEM
Multi-agent systems
NETWORK
OPTIMIZATION
Power system planning
Science & Technology
Technology
WIND
Publication Status
Published
Article Number
116349
Date Publish Online
2020-12-29