Simulating Distributed Energy Resource Responses to Transmission System-Level Faults Considering IEEE 1547 Performance Categories on Three Major WECC Transmission Paths

Kenyon, Richard; Mather, Barry

doi:10.2172/1603268

Cited by 9 publications

(17 citation statements)

References 7 publications

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“…Voltage outside of ANSI C84.1 Range A or B can be problematic and is itself a subset of power quality concerns. Power outages, generally measured by utilities in terms of SAIDI 7 and SAIFI (duration of outages and frequency of outages), are also special cases of power quality problems, as voltage and frequency fall to zero during an interruption or outage.…”

Section: Power Qualitymentioning

confidence: 99%

“…The inclusion of multiple choices of voltage ride-though categories (i.e., settings) begs the question as to how the settings should be chosen. To help inform these decisions, a transmission and distribution cosimulation method was developed that integrates balanced three-phase dynamic modeling methods, typically used for transmission dynamic modeling, with QSTS distribution system analysis [7]. The dynamic transmission model effectively models the dynamic response of the transmission system as normal but the voltage profiles at the interface of the transmission and distribution system (i.e., the substation) are then used as an input to the distribution simulation.…”

Section: Modeling the Impact Of Der Voltage Ride-through Settingsmentioning

confidence: 99%

“…The results from a study completed using this technique are shown in Figure 2-16 [7]. The results shown in this figure include dynamic modeling of the entire U.S. Western Interconnection, 123 distribution circuits, representative of the distribution system at 123 transmission nodes, which were most impacted for a three-phase low impedance fault on a 500-kV system bus and over 6,000 individual DERs interconnected on the 123 distribution circuits.…”

Section: Modeling the Impact Of Der Voltage Ride-through Settingsmentioning

confidence: 99%

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Clean Grid Vision: A U.S. Perspective - Chapter 2. Distribution Issues and Tools

Mather¹,

Hao²,

Ding³

et al. 2021

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This multiyear program seeks to build capacity and assist Chinese stakeholders to articulate low carbon pathways to achieve energy systems with a high share of renewable energy, energy efficiency, and low carbon emission.The Clean Grid Vision comprises two major reports: Clean Grid Vision-A U.S. Perspective, written by NREL, and Clean Grid Vision-A Chinese Perspective, written by SGERI. The former summarizes NREL's lessons learned on some of the main issues in power system transition:• Power system planning and operational analysis are discussed in Chapter 1, "Clean Grid Scenarios."• Renewable grid integration challenges and modeling tools at the distribution network level are discussed in Chapter 2, "Distribution Issues and Tools."• Grid reliability and stability challenges and the technologies to address them at the transmissionnetwork level are discussed in Chapter 3, "Grid-Supporting Technologies."• Recent dynamics in electricity demand such as energy efficiency, demand response, and electrification are discussed in Chapter 4, "Demand-Side Developments."• Emerging issues in power market design and market evolution related to the increasing penetration of renewable energy are discussed in Chapter 5, "Power Market Trends."The scope of Clean Grid Vision-A U.S. Perspective is limited to summarizing the main lessons learned and best practices through NREL's power system research in the past 6 years, with a focus on the U.S. power system. It can be compared to and contrasted with SGERI's report that focuses on China's power system.As a summary report, most of the works cited here were conducted during 2015-2020. While some of the assumptions for these studies, especially the ones related to renewable energy and battery technology costs, are outdated, the main conclusions remain salient and offer valuable insights for planning and operating power systems and power markets with high levels of renewable energy.More information on the Clean Grid Vision is available at www.nrel.gov/international/clean-gridvision.html.

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Section: Power Qualitymentioning

confidence: 99%

Section: Modeling the Impact Of Der Voltage Ride-through Settingsmentioning

confidence: 99%

Section: Modeling the Impact Of Der Voltage Ride-through Settingsmentioning

confidence: 99%

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Clean Grid Vision: A U.S. Perspective - Chapter 2. Distribution Issues and Tools

Mather¹,

Hao²,

Ding³

et al. 2021

Self Cite

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“…Distribution-informed transmission simulations was the approach adopted in ref. [60]. Integrated T&D simulations of the form that are discussed above were not performed and the focus was not on developing an integrated T&D dynamic simulation algorithm but on improving the results of transmission-only dynamic simulations by specifically accounting for the voltage diversity present in distribution circuits, which influences the effective voltage ride-through functionality of DG, particularly at high DG penetration levels.…”

Section: Distribution-informed Transmission Simulationsmentioning

confidence: 99%

“…Building on early experience, developing distribution informed transmission simulations as reported in ref. [60] and the considerable literature on T&D co-simulation, the development of integrated T&D modeling of the TD-3 type is under way as part of a US Department of Energy sponsored project. This project is primarily focused on bulk energy system resilience and thus the inclusion of distribution-level simulation capabilities is focused where the impacts of distribution elements impact the bulk system the most.…”

Section: Integrated Tandd Simulation For Grid Resilience Studiesmentioning

confidence: 99%

Integrated Transmission-and-Distribution System Modeling of Power Systems: State-of-the-Art and Future Research Directions

Jain

Bhatti

et al. 2020

Energies

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Integrated transmission-and-distribution (T&D) modeling is a new and developing method for simulating power systems. Interest in integrated T&D modeling is driven by the changes taking place in power systems worldwide that are resulting in more decentralized power systems with increasingly high levels of distributed energy resources. Additionally, the increasing role of the hitherto passive energy consumer in the management and operation of power systems requires more capable and detailed integrated T&D modeling to understand the interactions between T&D systems. Although integrated T&D modeling has not yet found widespread commercial application, its potential for changing the decades-old power system modeling approaches has led to several research efforts in the last few years that tried to (i) develop algorithms and software for steady-state and dynamic modeling of power systems and (ii) demonstrate the advantages of this modeling approach compared with traditional, separated T&D system modeling. In this paper, we provide a review of integrated T&D modeling research efforts and the methods employed for steady-state and dynamic modeling of power systems. We also discuss our current research in integrated T&D modeling and the potential directions for future research. This paper should be useful for power systems researchers and industry members because it will provide them with a critical summary of current research efforts and the potential topics where research efforts are needed to further advance and demonstrate the utility of integrated T&D modeling.

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Enhancing the operation of smart inverters with PMU and data concentrators

Gargoom

Elmusrati

Gaouda

2022

International Journal of Electrical Power & Energy Systems

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Simulating Distributed Energy Resource Responses to Transmission System-Level Faults Considering IEEE 1547 Performance Categories on Three Major WECC Transmission Paths

Cited by 9 publications

References 7 publications

Clean Grid Vision: A U.S. Perspective - Chapter 2. Distribution Issues and Tools

Clean Grid Vision: A U.S. Perspective - Chapter 2. Distribution Issues and Tools

Integrated Transmission-and-Distribution System Modeling of Power Systems: State-of-the-Art and Future Research Directions

Enhancing the operation of smart inverters with PMU and data concentrators

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