Citation: Salinas-Herrera, F.; Moeini,
A.; Kamwa, I. Survey of Simulation
Tools to Assess Techno-Economic
Benefits of Smart Grid Technology in
Integrated T&D Systems.
Sustainability 2022, 14, 8108. https://
doi.org/10.3390/su14138108
Academic Editors: Muhammad
Imran, Zafar Ali Khan,
Abdullah Altamimi and Manuel
S. Alvarez-Alvarado
Received: 26 May 2022
Accepted: 28 June 2022
Published: 2 July 2022
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sustainability
Review
Survey of Simulation Tools to Assess Techno-Economic Benefits
of Smart Grid Technology in Integrated T&D Systems
Fernando Salinas-Herrera
1,
* , Ali Moeini
2
and Innocent Kamwa
1
1
Département de Génie Électrique et de Génie Informatique, Université Laval, Québec, QC G1V 0A6, Canada;
innocent.kamwa.1@ulaval.ca
2
Hydro-Québec, Montréal, QC H2Z 1A4, Canada; moeini.ali@hydroquebec.com
* Correspondence: kfsah@ulaval.ca or fernando.salinas@ieee.org; Tel.: +1-581-443-7297
Abstract: In order to succeed in the energy transition, the power system must become more flexible
in order to enable the economical hosting of more intermittent distributed energy resources (DER)
and smart grid technologies. New technical solutions, generally based on the connection of various
components coupled to the power system via smart power electronic converters or through ICT, can
help to take up these challenges. Such innovations (e.g., decarbonization technologies and smart
grids) may reduce the costs of future power systems and the environmental footprint. In this regard,
the techno-economic assessment of smart grid technologies is a matter of interest, especially in
the urge to develop more credible options for deep decarbonization pathways over the long term.
This work presents a literature survey of existing simulation tools to assess the techno-economic
benefits of smart grid technologies in integrated T&D systems. We include the state-of-the-art tools
and categorize them in their multiple aspects, cover smart grid technology, approach methods, and
research topics, and include (or complete) the analysis with other dimensions (smart-grid related) of
key interest for future power systems analysis such as environmental considerations, techno-economic
aspects (social welfare), spatial scope, time resolution (granularity), and temporal scope, among
others. We surveyed more than 40 publications, and 36 approaches were identified for the analysis of
integrated T&D systems. As a relatively new research area, there are various promising candidates to
properly simulate integrated T&D systems. Nevertheless, there is not yet a consensus on a specific
framework that should be adopted by researchers in academia and industry. Moreover, as the power
system is evolving rapidly towards a smart grid system, novel technologies and flexibility solutions
are still under study to be integrated on a large scale. This review aims to offer new criteria for
researchers in terms of smart-grid related dimensions and the state-of-the-art trending of simulation
tools that holistically evaluate techno-economic aspects of the future power systems in an integrated
T&D systems environment. As an imperative research matter for future energy systems, this article
seeks to contribute to the discussion of which pathway the scientific community should focus on for
a successful shift towards decarbonized energy systems.
Keywords: power system simulation; integrated T&D systems; simulation tools; techno-economic
simulation; future power systems; smart grid technology; energy system planning; DERs;
decarbonization; flexibility; survey
1. Introduction
The socio-economic assessment of smart grids is a matter of interest for public au-
thorities and utilities [1–4]. However, conventional transmission planning and generation
expansion tools are not well suited to the new environment with more uncertainties in the
forecast, and more flexibility constraints (including decentralized end-use flexibility assets)
should be considered when planning for a future grid in a decarbonized economy.
Previous studies have mainly adopted energy system planning and simulation models,
e.g., OSeMOSYS [5], MESSAGE [6], IAM [7], LEAP [8], etc., to design optimal portfolios
Sustainability 2022, 14, 8108. https://doi.org/10.3390/su14138108 https://www.mdpi.com/journal/sustainability