Dynamic state estimation based synchronous generator model calibration using PMU data

Sun, Liang; Meliopoulos, A. P. Sakis; Liu, Yu; Xie, Boqi

doi:10.1109/pesgm.2017.8274647

Cited by 11 publications

(5 citation statements)

References 6 publications

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“…В исследовании [14] авторами предлагается алгоритм, основанный на методе взвешенных наименьших квадратов для определения следующих параметров СГ: синхронные, переходные и сверхпереходные сопротивления, постоянные времени по осям d и q и постоянная инерции. В качестве исходных данных выступают сигналы токов и напряжений СГ.…”

Section: анализ методов определения параметров сгunclassified

“…3) преобразование Хартли [13]; 4) метод наименьших квадратов [14][15][16][17][18][19]; 5) методы искусственного интеллекта [20][21][22][23][24][25][26][27][28][29][30][31]; 6) псевдослучайная двоичная последовательность [32,33]; 7) анализ переходных процессов при двухфазном КЗ [34] и пуске [35];…”

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“…Далее приводится описание каждого класса методов определения параметров СГ с указанием их достоинств и недостатков. Авторами работ [14][15][16][17][18][19] для определения параметров СГ предлагаются алгоритмы, основанные на методе наименьших квадратов (МНК).…”

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See 2 more Smart Citations

Overview of Methods for Determining Parameters of Synchronous Generators

Бердин¹,

Мойсейченков²,

Коваленко³

et al. 2020

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A synchronous generator is one of the key elements of any power system, having a significant impact on the stability and reliability of consumers’ power supply. Nowadays, the power systems emergency and operational control issues are being solved using computational models, the parameters whereof are determined using the reference data, or the data obtained during testing. High dependence of the models’ parameters on various external factors leads to a significant decrease in the accuracy of solving the issues of emergency and operational control. Identification based on the traditional telemetry systems or synchrophasor measurements is used to improve the accuracy of parameters of the power systems’ computational models. The purpose of this research lies in a meta-analysis of the available studies aimed at developing a methodology for determining parameters of a synchronous generator on the basis of measurement data. Russian and foreign studies were analyzed and grouped to achieve this goal. After that, for each group, advantages, disadvantages, and the area of application were identified. As a result, it is shown that the existing methods for determining parameters of synchronous generators based on measurement data cannot adapt to the source dataset and also require significant computing power. As a way to overcome these shortcomings, an adaptive model of a synchronous machine is proposed.

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Section: анализ методов определения параметров сгunclassified

unclassified

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Overview of Methods for Determining Parameters of Synchronous Generators

Бердин¹,

Мойсейченков²,

Коваленко³

et al. 2020

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“…For P V buses, V is fixed, and θ needs to be estimated. 4 The sampling rate for PMU, according to IEC-61850 standard, can reach up to 4800 Hz [24], and for micro-PMU (µPMU) can reach 120 Hz [25]. ANN involves a network of simple processing elements (artificial neurons) which can exhibit complex global behavior, determined by connections between the processing elements and the element parameters.…”

Section: B Dt For Real-time Power Flow Monitoringmentioning

confidence: 99%

Preliminary Exploration on Digital Twin for Power Systems: Challenges, Framework, and Applications

He,

Ai,

Qiu

et al. 2019

Preprint

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Digital twin (DT) is one of the most promising enabling technologies for realizing smart grids. Characterized by seamless and active-data-driven, real-time, and closed-loopintegration between digital and physical spaces, a DT is much more than a blueprint, simulation tool, or cyber-physical system (CPS). Numerous state-of-the-art technologies such as internet of things (IoT), 5G, big data, and artificial intelligence (AI) serve as a basis for DT. DT for power systems aims at situation awareness and virtual test to assist the decision-making on power grid operation and management under normal or urgent conditions. This paper, from both science paradigms and engineering practice, outlines the backgrounds, challenges, framework, tools, and possible directions of DT as a preliminary exploration. To our best knowledge, it is also the first exploration on DT in the context of power systems. Starting from the fundamental and most frequently used power flow (PF) analysis, some typical application scenarios are presented. Our work is expected to contribute some novel discoveries, as well as some high-dimensional analytics, to the engineering community. Besides, the connection of DT with big data analytics and AI may has deep impact on data science.

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“…Modelling a generator as a voltage source behind series impedance is a widely used approach to estimate the rotor angle [12][13][14][15]. Accordingly, the rotor angle is first estimated through a loop voltage equation.…”

Section: Introductionmentioning

confidence: 99%

A model‐based method for rotor speed estimation of synchronous generators using wide area measurement system

Hosseini

Afsharnia

2021

IET Generation Trans & Dist

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In this paper a novel method is proposed to estimate the rotor speed of synchronous generators in steady state and dynamic conditions using phasor measurement unit's data. This method uses the synchronous generator model to find the relationship between generator rotor speed and frequencies at different buses of the power system. The principles of the proposed method are first presented through a simple network consisting a generator connected to a transmission line. Afterward the general formulation is developed. To demonstrate the effectiveness of our method, IEEE 9-bus and IEEE 39-bus power systems are used as the benchmark systems. Different tests are carried out under three conditions including, normal condition, presence of measurement errors and uncertainty of the power system parameters. As well, the estimation results are compared with the results of other estimation methods. The results show the high accuracy of the proposed method in different conditions.

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Dynamic state estimation based synchronous generator model calibration using PMU data

Cited by 11 publications

References 6 publications

Overview of Methods for Determining Parameters of Synchronous Generators

Overview of Methods for Determining Parameters of Synchronous Generators

Preliminary Exploration on Digital Twin for Power Systems: Challenges, Framework, and Applications

A model‐based method for rotor speed estimation of synchronous generators using wide area measurement system

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