A measurement-simulation hybrid method for transient stability assessment and control based on the deviation energy

Ma, Shiying; Chen, Changsheng; Liu, Chengxi; Shen, Zhengwei

doi:10.1016/j.ijepes.2019.105422

Cited by 11 publications

(5 citation statements)

References 25 publications

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“…The work in the study [16] power generators RPGs share accelerating suggested a hybrid measurement simulation (M-S) method for transient stability assessment (TSA) and emergency control systems. Figure 3 shows the TS margin.…”

Section: Figure 2 Diagram Of Wams Control Techniquementioning

confidence: 99%

Utilizing Hybrid Renewable Energy Systems for Enhancing Transient Stability in Power Grids: A Comprehensive Review

Al-Kaoaz,

Alsammak

2023

JESA

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The escalating demand for energy in recent years has been met with significant challenges, including resource scarcity and stringent environmental laws, which have curtailed the expansion of power generation and transmission capacity. As a result, the load borne by certain transmission lines has notably increased, which in turn raises concerns about the system's transient stability (TS). The rapid growth of renewable energy sources in power networks further compounds this issue. Despite sharing similar penetration levels, different renewable energy sources, such as wind and solar, and their combinations can have varied impacts on the system's TS. This paper conducts a comprehensive review of recent research and developments in power system TS. The focus is on the utilization of hybrid generating systems to address TS issues. The aim is to understand how different types of hybrid systems can enhance transient stability, with a comparative analysis on the advantages and disadvantages of each strategy. Furthermore, the role of Flexible AC Transmission System (FACTS) devices in improving transient stability is examined, along with the potential for synergistic use of both methods.

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Section: Figure 2 Diagram Of Wams Control Techniquementioning

confidence: 99%

Utilizing Hybrid Renewable Energy Systems for Enhancing Transient Stability in Power Grids: A Comprehensive Review

Al-Kaoaz,

Alsammak

2023

JESA

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“…Further, Ma et al suggested a hybrid technique of determining and quantifying stability by comparing with measured values based on simulation results based on the equal area criterion [18]. An approach to predict transient stability based on the maximal Lyapunov exponent estimated by a recursive least squares-based method was proposed [19].…”

Section: Introductionmentioning

confidence: 99%

Transient Stability Assessment Using Deep Transfer Learning

Kim,

Lee,

Kim

et al. 2023

IEEE Access

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This study proposes a deep transfer learning method using a deep convolutional neural network pre-trained with ImageNet for transient stability assessment. The procedure of deep transfer learning, incorporating the role and considerations of the transient stability assessment system, is suggested. The transient assessment system learns the relationship between the severity of disturbances and transient stability in the power system through the proposed training method. The severity of a disturbance based on the physical causal relationship of the angle stability is proposed to train and implement the transient stability assessment model. The power system state variables obtained from the phasor measurement unit are converted into the feature map described by the severity of a disturbance, enabling the training of transient stability characteristics of the power system to the deep convolutional neural network. The training dataset is constructed using the time-domain simulation on IEEE 39 and IEEE 118-bus benchmark power system models configured in MATLAB/Simulink. As a result of deep transfer learning, which involves training with freezing some of the convolutional layers of the pre-trained deep network, the most suitable model for transient stability assessment is selected among the pre-trained deep networks. The effectiveness of the proposed method is compared with other approaches using the confusion matrix, and the robustness against noise interference is also investigated.

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“…[22] present an algorithm for online out-of-step prediction using the acceleration power and rotor speed deviation of the generator by fitting ellipses. A unique measurement and simulation-based mixed method for TSA and emergency control scheme is discussed in [23]. Using the difference between the offline and online simulation trajectory of a corresponding single machine infinite bus system, a deviation energy index is defined for fast online transient stability assessment.…”

Section: Introductionmentioning

confidence: 99%

Synchrophasor-Based Online Transient Stability Assessment Using Regression Models

Chandrashekhar

Srivani²

2022

ECTI-EEC

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An online post-fault transient stability assessment method is proposed in this study using synchrophasor or PMU measurements. Initially, a post-fault multimachine system is converted into a suitable one machine infinite bus (OMIB) system using the single machine equivalent (SIME) method. Thus, the - trajectory obtained through the OMIB system enabled a normalized transient stability index to be calculated offline. By using synchrophasor measurements before and during the fault as inputs, the regression model can be trained offline to predict the normalized stability margins. Following a fault, the synchrophasor measurements are used as input to this trained model for online stability margin prediction. If the predicted margin is negative, then the post-fault power system is indicated to be unstable. Alternatively, positive values for the predicted margin identify the system as stable. The proposed assessment method is verified using the New England (NE) 39 bus test system. The results obtained are then compared with offline simulations.

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A measurement-simulation hybrid method for transient stability assessment and control based on the deviation energy

Cited by 11 publications

References 25 publications

Utilizing Hybrid Renewable Energy Systems for Enhancing Transient Stability in Power Grids: A Comprehensive Review

Utilizing Hybrid Renewable Energy Systems for Enhancing Transient Stability in Power Grids: A Comprehensive Review

Transient Stability Assessment Using Deep Transfer Learning

Synchrophasor-Based Online Transient Stability Assessment Using Regression Models

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