Using Synchrophasors to Improve Bulk Power System Reliability in North America

Vaiman, Marianna; Quint, Ryan; Silverstein, A. B.; Papic, Milorad; Kosterev, Dmitry; Leitschuh, N.; Faris, Anthony; Yang, Shaolin; Blevins, Bill; Rajagopalan, Sidharth; Gravois, Patrick; Ciniglio, Orlando; Maslennikov, Slava; Litvinov, Eugene; Luo, Xiaochuan; Etingov, Pavel

doi:10.1109/pesgm.2018.8586560

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…The concept of reliability and characteristics are recognized, and several studies have been recently performed on it, as in [36]. As the construction and operation of the traditional power system have been driven by the main reliability standards of safety and efficiency through normal situations and expected emergencies [37]. Figure 3 shows some key features that distinguish resilience from reliability.…”

Section: B the Concept Of Power System Resiliencementioning

confidence: 99%

Proactive Resilience of Power Systems Against Natural Disasters: A Literature Review

et al. 2019

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The increase in power outages caused by high-impact low-probability events, such as extreme weather-related climate variation events, is the main reason behind studying power system resilience. However, the concepts of resilience as well as the proactive procedures that can be carried out to address these events are such have not so far been satisfactorily investigated notwithstanding their growing benefits. This paper exhibits a review of the current research on power system resilience; which predominantly focuses on proactive resilience against natural disasters. Firstly, it gives a theoretical framework to acquire insights into power system resilience and its key features. Secondly, it presents frameworks for proactive resilience of power systems with a spotlight on the extreme weather events and their effect. Finally, various strategies for preparing, hardening and enhancing proactive resilience with a focus on microgrids for improving power system resilience are reviewed.

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Section: B the Concept Of Power System Resiliencementioning

confidence: 99%

Proactive Resilience of Power Systems Against Natural Disasters: A Literature Review

et al. 2019

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“…Furthermore, it gives insights into the operation of classical relay protection systems in the control room [19][20][21][22]. This also opens up possibilities to design other functions, such as a control function for corona losses which can be beneficial for the process of planning and the procurement of losses.…”

Section: Advanced Protection Functions Of the Wampac Systemmentioning

confidence: 99%

Model for 400 kV Transmission Line Power Loss Assessment Using the PMU Measurements

Pavičić¹,

Holjevac

Ivanković³

et al. 2021

Energies

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This paper presents an advanced model for monitoring losses on a 400 kV over-head transmission line (OHL) that can be used for measured data verification and loss assessment. Technical losses are unavoidable physical effects of energy transmission and can be reduced to acceptable levels, with a major share of technical losses on transmission lines being Joule losses. However, at 400 kV voltage levels, the influence of the electrical corona discharge effect and current leakage can have significant impact on power loss. This is especially visible in poor weather conditions, such as the appearance of fog, rain and snow. Therefore, loss monitoring is incorporated into exiting business process to provide transmission system operators (TSO) with the measure of losses and the accurate characterization of measured data. This paper presents an advanced model for loss characterization and assessment that uses phasor measurement unit (PMU) measurements and combines them with end-customer measurements. PMU measurements from the algorithm of differential protection are used to detect differential currents and angles, and this paper proposes further usage of these data for determining the corona losses. The collected data are further processed and used to calculate the amount of corona losses and provide accurate loss assessment and estimation. In each step of the model, cross verification of the measured and calculated data is performed in order to finally provide more accurate loss assessment which is incorporated into the current data acquisition and monitoring systems.

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“…For instance, as of 2017, Operating Procedure No. 22 specifies that all generation above 100 MW in the ISO New England system must provide Phasor Measuring Unit (PMU) observability at the point of interconnection [1]. Similarly, the 2018 Nodal Operating Guide specifies that all new generators above 20MVA in the ERCOT (Texas) system must provide PMU observability [2].…”

Section: Introductionmentioning

confidence: 99%

Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics

et al. 2021

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This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input multi-output (MIMO) dynamical systems via rational transfer function matrices. Based on a generalization of the well-known Time-Domain Vector Fitting (TDVF) algorithm, RTVF is suitable for online modeling of dynamical systems which experience both initial-state decay contributions in the measured output signals and concurrently active input signals. These adaptations were specifically contrived to meet the needs currently present in the electrical power systems community, where real-time modeling of low frequency power system dynamics is becoming an increasingly coveted tool by power system operators. After introducing and validating the RTVF scheme on synthetic test cases, this paper presents a series of numerical tests on high-order closed-loop generator systems in the IEEE 39-bus test system.

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Using Synchrophasors to Improve Bulk Power System Reliability in North America

Cited by 9 publications

References 3 publications

Proactive Resilience of Power Systems Against Natural Disasters: A Literature Review

Proactive Resilience of Power Systems Against Natural Disasters: A Literature Review

Model for 400 kV Transmission Line Power Loss Assessment Using the PMU Measurements

Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics

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