TY - GEN
T1 - Multi-factor modelling of electric grids for social and technical impact studies
AU - Marentes-Ortiz, Rafael
AU - Sellier, Franck
AU - Gao, Fei
AU - Martins, João
AU - Curci, Ylenia
N1 - info:eu-repo/grantAgreement/EC/H2020/955614/EU#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
Funding Information:
The research presented in this paper is conducted as a part of the Smart and Green Energy Systems and Business Models (SmartGYSUM) project funded by the European Union. The primary objective of this project is to contribute to the sustainable development of the European electricity grid by integrating technical, social, economic, and environmental factors. This paper proposes a two-fold contribution. Firstly, it proposes a non-iterative approach to analyze the grid using a modified load flow analysis. Unlike traditional approaches that use iterative equations to approximate the state of the grid, this approach evaluates the component elements of the grid. This allows for a faster and more accurate analysis that is compatible with other systems in a simulation platform. Secondly, this approach enables the integration of social, economic, environmental, and technical information, providing a broader perspective on the impact of different factors on the grid. The proposed approach is highly compatible with other systems in the software, allowing for testing of different types of systems and loads connected to the grid. This will enable the study of the impact of social factors on the grid, particularly residential loads, which is of particular relevance to the SmartGYSUM project.
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper proposes a load flow-based approach to analyze electric systems, with the aim of considering multiple factors in grid studies, including technical, social, environmental, and economic factors. The proposed method enables the graphical design of grids, and the seamless integration of models of distributed generation, residential loads, and economic signals, such as day-ahead prices. The validity of the approach is demonstrated by comparing its results against the traditional iterative load flow analysis approach. Several test cases are presented to showcase the model's capabilities in studying economic and environmental factors. Notably, the study of residential loads generated for different scenarios enables the observation of the impact of social factors, such as household size, on the grid.
AB - This paper proposes a load flow-based approach to analyze electric systems, with the aim of considering multiple factors in grid studies, including technical, social, environmental, and economic factors. The proposed method enables the graphical design of grids, and the seamless integration of models of distributed generation, residential loads, and economic signals, such as day-ahead prices. The validity of the approach is demonstrated by comparing its results against the traditional iterative load flow analysis approach. Several test cases are presented to showcase the model's capabilities in studying economic and environmental factors. Notably, the study of residential loads generated for different scenarios enables the observation of the impact of social factors, such as household size, on the grid.
KW - load flow
KW - modelling tool
KW - residential load modelling
UR - http://www.scopus.com/inward/record.url?scp=85171542130&partnerID=8YFLogxK
U2 - 10.1109/CPE-POWERENG58103.2023.10227407
DO - 10.1109/CPE-POWERENG58103.2023.10227407
M3 - Conference contribution
AN - SCOPUS:85171542130
SN - 979-8-3503-0005-5
T3 - Compatibility in Power Electronics (CPE)
BT - CPE-POWERENG 2023
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023
Y2 - 14 June 2023 through 16 June 2023
ER -