TY - JOUR
T1 - Impact of local energy markets integration in power systems layer
T2 - A comprehensive review
AU - Dudjak, Viktorija
AU - Neves, Diana
AU - Alskaif, Tarek
AU - Khadem, Shafi
AU - Pena-Bello, Alejandro
AU - Saggese, Pietro
AU - Bowler, Benjamin
AU - Andoni, Merlinda
AU - Bertolini, Marina
AU - Zhou, Yue
AU - Lormeteau, Blanche
AU - Mustafa, Mustafa A.
AU - Wang, Yingjie
AU - Francis, Christina
AU - Zobiri, Fairouz
AU - Parra, David
AU - Papaemmanouil, Antonios
N1 - Funding Information:
This publication is part of the work of the Global Observatory on Peer-to-Peer, Community Self-Consumption and Transactive Energy Models (GO-P2P), an Annex of the User-Centred Energy Systems Technology Collaboration Programme (Users TCP), under the auspices of the International Energy Agency (IEA). GO-P2P benefits from the support of Australia, Belgium, Ireland, Italy, The Netherlands, Switzerland, the United Kingdom and the United States.
Publisher Copyright:
© 2021
PY - 2021/11/1
Y1 - 2021/11/1
N2 - In recent years extensive research has been conducted on the development of different models that enable energy trading between prosumers and consumers due to expected high integration of distributed energy resources. Some of the most researched mechanisms include Peer-to-Peer energy trading, Community Self-Consumption and Transactive Energy Models. To ensure the stable and reliable delivery of electricity as such markets and models grow, this paper aims to understand the impact of these models on grid infrastructure, including impacts on the control, operation, and planning of power systems, interaction between multiple market models and impact on transmission network. Here, we present a comprehensive review of existing research on impact of Local Energy Market integration in power systems layer. We detect and classify most common issues and benefits that the power grid can expect from integrating these models. We also present a detailed overview of methods that are used to integrate physical network constraints into the market mechanisms, their advantages, drawbacks, and scaling potential. In addition, we present different methods to calculate and allocate network tariffs and power losses. We find that financial energy transactions do not directly reflect the physical energy flows imposed by the constraints of the installed electrical infrastructure. In the end, we identify a number of different challenges and detect research gaps that need to be addressed in order to integrate Local Energy Market models into existing infrastructure.
AB - In recent years extensive research has been conducted on the development of different models that enable energy trading between prosumers and consumers due to expected high integration of distributed energy resources. Some of the most researched mechanisms include Peer-to-Peer energy trading, Community Self-Consumption and Transactive Energy Models. To ensure the stable and reliable delivery of electricity as such markets and models grow, this paper aims to understand the impact of these models on grid infrastructure, including impacts on the control, operation, and planning of power systems, interaction between multiple market models and impact on transmission network. Here, we present a comprehensive review of existing research on impact of Local Energy Market integration in power systems layer. We detect and classify most common issues and benefits that the power grid can expect from integrating these models. We also present a detailed overview of methods that are used to integrate physical network constraints into the market mechanisms, their advantages, drawbacks, and scaling potential. In addition, we present different methods to calculate and allocate network tariffs and power losses. We find that financial energy transactions do not directly reflect the physical energy flows imposed by the constraints of the installed electrical infrastructure. In the end, we identify a number of different challenges and detect research gaps that need to be addressed in order to integrate Local Energy Market models into existing infrastructure.
KW - Energy Trading
KW - Impact
KW - Local Energy Markets
KW - Network Constraints
KW - Peer-to-Peer
KW - Power System Integration
KW - Review Paper
KW - Transactive Energy
UR - http://www.scopus.com/inward/record.url?scp=85111929906&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2021.117434
DO - 10.1016/j.apenergy.2021.117434
M3 - Article
AN - SCOPUS:85111929906
SN - 0306-2619
VL - 301
JO - Applied Energy
JF - Applied Energy
M1 - 117434
ER -