Synthetic, Realistic Transmission and Distribution Co-Simulation for Voltage Control Benchmarking

Panossian, Nadia; Elgindy, Tarek; Palmintier, Bryan; Wallison, Diana

doi:10.1109/tpec51183.2021.9384935

Cited by 11 publications

(6 citation statements)

References 14 publications

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“…In Case 32, the results showed the relevance of using realistic, tightly coupled transmission and distribution co-simulation when assessing DERs. The fact that the datasets are also geographically matched opens future research opportunities to consider geospatially accurate transportation patterns, building codes, renewable resources, and other location-specific studies [110].…”

Section: Remarks and Discussionmentioning

confidence: 99%

Survey of Simulation Tools to Assess Techno-Economic Benefits of Smart Grid Technology in Integrated T&D Systems

2022

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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.

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Section: Remarks and Discussionmentioning

confidence: 99%

Survey of Simulation Tools to Assess Techno-Economic Benefits of Smart Grid Technology in Integrated T&D Systems

2022

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“…--CYME -Steady-state and time series implemented through CYMEpy [43] --OpenDSS -Steady-state and time series analysis implemented through PyDSS [44]. Examples with PowerWorld in steady-state [31] and transportation in BEAM [45].…”

Section: Helics Supported Simulation Toolsmentioning

confidence: 99%

HELICS: A Co-Simulation Framework for Scalable Multi-Domain Modeling and Analysis

Hardy,

Palmintier,

Top

et al. 2024

IEEE Access

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As both the generation resources and load types have changed and grown over the past few decades, there is a growing need for analysis that spans traditional simulation boundaries; for example, evaluating the impact of distribution-level assets (e.g. rooftop solar, EV chargers) on bulk-power system operation. Co-simulation is a technique that allows simulators to trade information during run-time, effectively creating larger and more complex models. HELICS is a co-simulation platform that has been developed to enable these kinds of power system analysis, incorporating tools from a variety of domains including the electrical power grid, natural gas, transportation, and communications. This paper summarizes the technical design of HELICS, describes how tools can be integrated into the platform, and reviews a number of analyses that have been performed using HELICS. A short video summary of this paper can be found at https://youtu.be/BIUiR_K87Wc.

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“…The scenarios in SMART-DS include multiyear time-series load and weather patterns, solar power and battery adoption patterns, demand-responsive customers, and outage scenarios for several U.S. regions. Because the SMART-DS models include Austin, Texas, and a regional transmission system model is also available for Travis County where Austin is located, we selected Austin as the use case for our cosimulation (Panossian et al 2021).…”

Section: Cosimulation Studiesmentioning

confidence: 99%

CloudZero Phase 2 Technical Report

Wallace,

Liao,

Rager

et al. 2024

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Synthetic, Realistic Transmission and Distribution Co-Simulation for Voltage Control Benchmarking

Cited by 11 publications

References 14 publications

Survey of Simulation Tools to Assess Techno-Economic Benefits of Smart Grid Technology in Integrated T&D Systems

Survey of Simulation Tools to Assess Techno-Economic Benefits of Smart Grid Technology in Integrated T&D Systems

HELICS: A Co-Simulation Framework for Scalable Multi-Domain Modeling and Analysis

CloudZero Phase 2 Technical Report

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