An On-line Generator Start-up Strategy Based on Deep Learning and Tree Search

Sun, Runjia; Liu, Yutian

doi:10.1109/pesgm.2018.8585913

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…There are three stages of transmission network reconfiguration, that is, start‐up sequence of generating units, skeleton network, and optimizing the restoration paths 12 with the satisfaction of all restoration constraints 13 . The main objective of the start‐up sequence of generating units is to maximize the restored generation capacity 15,90 . The generator start‐up sequence plays a key role in the restoration strategy that determines the time consumed in power system restoration, 50 accelerating the system recovery 91 .…”

Section: Optimization Models and Methodologies For Transmission Netwomentioning

confidence: 99%

“…Optimization of network reconfiguration is divided into three stages such as a start‐up sequence of generating units, skeleton network, and optimizing the restoration paths 12 with the satisfaction of all restoration constraints 13 . The main objective of the start‐up sequence of generating units is to maximize the restored generation capacity 15,90 . It is the main phase of the network reconfiguration phase 11 .…”

Section: Optimization Models and Methodologies For Transmission Netwomentioning

confidence: 99%

“…Decision‐making methods have been proposed to solve the network reconfiguration problem. These methods were applied to evaluate the unit's start‐up sequence, 11,14‐16 to build the skeleton network, 17 and to obtain restoration paths 16,18‐20 . Aiming to obtain the global optimal solutions, several optimization techniques such as numerical methods 4,21,22 and optimization algorithms 9,13,23‐33 have been applied to solve network reconfiguration problem.…”

Section: Introductionmentioning

confidence: 99%

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Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience

Aziz

Liu

Waseem

et al. 2020

Int Trans Electr Energ Syst

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Background When a power system blackout occurs, it affects the economy of the country and every aspect of human life. Cascading failures can easily occur and cause a major blackout in the power grid due to the breakdown or failure of important nodes or links. Recently, transmission network reconfiguration (TNR) becomes a hot topic and has made many concerns after major blackouts of power systems. Aims TNR is the second‐stage action plan to restore power systems and plays a major role in the process of power system restoration. On the other hand, grid resilience involves a quick dynamic reconfiguration of power systems to minimize the propagation of attack influences on the grid. The motivations to include the works in this survey are based on the quality of the research performed in the transmission network reconfiguration problem for grid resilience. In this article, the state‐of‐the‐art review of recent progress in the network reconfiguration problem of the transmission system for grid resilience is discussed with practical challenges, technical issues, and power industry practices. Materials & Methods In this paper, complex network theory‐based indices with advantages, disadvantages, and their applications have been discussed to assess the important nodes and lines for network reconfiguration problem during sudden disturbances in power systems. Furthermore, optimization models have been presented with objective functions as well as their constraints. Taken together, optimization methodologies have been discussed to solve network reconfiguration problem with merits and demerits. Results This survey paper presents current trends in research and future research directions concerning transmission network reconfiguration for academic researchers and practicing engineers. Furthermore, the most current studies in improving transmission network reconfiguration problem are reviewed by highlighting their advantages and limitations. Discussion Based on a thorough comparison of literature some future perspectives are also discussed for transmission network reconfiguration problem for grid resilience. Conclusion This review paper provides a comprehensive review of current practices applied to transmission network reconfiguration. The core focus of this paper will remain on complex network theory‐based indices, optimization models, optimization methodologies, challenges, and technical issues, and discusses future direction for transmission network reconfiguration problem for grid resilience. Furthermore, the most current studies in improving transmission network reconfiguration problem are reviewed by highlighting their advantages and limitations.

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Section: Optimization Models and Methodologies For Transmission Netwomentioning

confidence: 99%

Section: Optimization Models and Methodologies For Transmission Netwomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience

Aziz

Liu

Waseem

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Finally, the optimal primary action set obtained for the different initial degraded states (i.e., the network state following a blackout) will be used to train an artificial neural network that can be used in online application for fast determination of the restoration sequence. Similarly, [81] has employed Monte Carlo tree search approach to propose a decision-making strategy for generator start-up and line energization sequence.…”

Section: Optimization Of Generators Start-up Sequence and Restoration...mentioning

confidence: 99%

Survey of Power System Restoration Documents Issued from 2016 to 2021

Khoshkhoo

Khalilifar

Shahrtash

2022

International Transactions on Electrical Energy Systems

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More than thirty-six partial or whole blackouts, from 2016 to 2021, prove that neither the probability of blackouts can be ignored nor the required plans and the readiness of the utilities for power system restoration can be forgotten. To properly deal with blackouts and minimize the social and economic costs, utilities should prepare a suitable restoration plan in advance to quickly restore the system to the normal state and minimize the restoration time and loss of energy. In this paper, after summarizing major blackouts occurred from 2016 to 2021, the progress in the research reports, industrial documents, and books in the context of power system restoration is reviewed to show and classify the different aspects of power system restoration plans and strategies presented during these years. This review indicates that although there are many published methods and techniques which have tried to give more autonomous solutions, there are still more complexities in power system restoration. However, this paper respects all efforts and attempts and tries to illustrate the achievements, up to now, in power system restoration, as well as research gaps.

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Reinforcement Learning Approach to System Recovery

Zhai

2023

Studies in Systems, Decision and Control

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An On-line Generator Start-up Strategy Based on Deep Learning and Tree Search

Cited by 7 publications

References 12 publications

Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience

Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience

Survey of Power System Restoration Documents Issued from 2016 to 2021

Reinforcement Learning Approach to System Recovery

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