派博傳思國際中心

標題: Titlebook: Control and Optimization Methods for Complex System Resilience; Chao Zhai Book 2023 The Editor(s) (if applicable) and The Author(s), under [打印本頁]

作者: 指責    時間: 2025-3-21 19:57
書目名稱Control and Optimization Methods for Complex System Resilience影響因子(影響力)




書目名稱Control and Optimization Methods for Complex System Resilience影響因子(影響力)學科排名




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書目名稱Control and Optimization Methods for Complex System Resilience網(wǎng)絡公開度學科排名




書目名稱Control and Optimization Methods for Complex System Resilience被引頻次




書目名稱Control and Optimization Methods for Complex System Resilience被引頻次學科排名




書目名稱Control and Optimization Methods for Complex System Resilience年度引用




書目名稱Control and Optimization Methods for Complex System Resilience年度引用學科排名




書目名稱Control and Optimization Methods for Complex System Resilience讀者反饋




書目名稱Control and Optimization Methods for Complex System Resilience讀者反饋學科排名





作者: Solace    時間: 2025-3-21 23:38
2198-4182 cation, security assessment, system protection, and recovery.This book provides a systematic framework to enhance the ability of complex dynamical systems in risk identification, security assessment, system protection, and recovery with the assistance of advanced control and optimization technologie
作者: 圍裙    時間: 2025-3-22 03:07

作者: 軌道    時間: 2025-3-22 04:48

作者: Proponent    時間: 2025-3-22 09:48
Schlussfolgerungen, Fazit und Ausblick,ization framework to prevent the cascading outages of power grids. In theory, the necessary conditions for identifying the most disruptive disturbances are obtained by solving an integrated system of algebraic equations. Finally, numerical simulations are carried out to validate the proposed approach on the IEEE 24 Bus System.
作者: 某人    時間: 2025-3-22 13:41
Individuelles Lernen und Handelnake generator units active power optimum after a fault, which maximizes discount reward. Finally, numerical analysis is carried out on the IEEE-9 bus system. The simulation results demonstrate the effectiveness and feasibility of the proposed approach.
作者: 某人    時間: 2025-3-22 18:08
https://doi.org/10.1007/978-3-658-24949-6 complex systems as follows: identify the initial contingency that causes worst-case cascading failures, develop the protective schemes to prevent cascading outages, and design the recovery strategy and integrate it with disturbance identification and system protection.
作者: arbiter    時間: 2025-3-23 00:01

作者: spondylosis    時間: 2025-3-23 03:42
,Introduction to?Complex System Resilience, complex systems as follows: identify the initial contingency that causes worst-case cascading failures, develop the protective schemes to prevent cascading outages, and design the recovery strategy and integrate it with disturbance identification and system protection.
作者: Throttle    時間: 2025-3-23 06:09

作者: 煤渣    時間: 2025-3-23 11:08
,Risk Identification of?Cascading Process Under Protection,ization framework to prevent the cascading outages of power grids. In theory, the necessary conditions for identifying the most disruptive disturbances are obtained by solving an integrated system of algebraic equations. Finally, numerical simulations are carried out to validate the proposed approach on the IEEE 24 Bus System.
作者: Mendicant    時間: 2025-3-23 16:47

作者: 標準    時間: 2025-3-23 21:42
Book 2023cies. Moreover, the reinforcement learning method ensures the efficient restoration of complex systems from severe disruptions. This book is meant to be read and studied by researchers and graduates. It offers unique insights and practical methodology into designing and analyzing complex dynamical systems for resilience elevation..
作者: 事與愿違    時間: 2025-3-24 00:18
,Introduction to?Complex System Resilience,ation or communication systems), social and economic organizations, and ecosystems. Undoubtedly, understanding and taming complex systems is of great significance to the advances of human society. Thus, it is crucial to develop a systematic control and optimization approach to enhancing the robustne
作者: Antagonist    時間: 2025-3-24 02:43

作者: META    時間: 2025-3-24 10:13

作者: 血統(tǒng)    時間: 2025-3-24 14:21
Security Monitoring Using Converse Lyapunov Function,stable state trajectories of system dynamics. Most existing works on estimating ROA rely on analytical Lyapunov functions, which are subject to two limitations: the analytic Lyapunov functions may not be always readily available, and the resulting ROA may be overly conservative. This work overcomes
作者: 沖突    時間: 2025-3-24 14:57

作者: 揭穿真相    時間: 2025-3-24 21:35

作者: 摘要    時間: 2025-3-25 00:38
,Model Predictive Approach to?Preventing Cascading Proces,ower grids. It is crucial to eliminate the propagation of cascading outages in its infancy. In this chapter, a model predictive approach is proposed to protect power grids against cascading blackouts. First of all, the cascading dynamics of power grids is described by the outage model of transmissio
作者: ADORE    時間: 2025-3-25 06:07
,Robust Optimization Approach to?Uncertain Cascading Process, occur. This makes it challenging to achieve the effective power system protection against cascading blackouts. By incorporating uncertainties and stochastic factors of the cascades, a Markov chain model is developed in this chapter to predict the cascading failure paths of power systems. The transi
作者: 憤慨一下    時間: 2025-3-25 08:38

作者: 密碼    時間: 2025-3-25 14:36

作者: 不要嚴酷    時間: 2025-3-25 18:19
,Reinforcement Learning Approach to?System Recovery,damaged power system to normal operation. In this chapter, a reinforcement learning (RL) approach is developed for the generator restoration in power system. Based on the proposed restoration approach, the Q-learning algorithm has a stronger trial-and-error ability and finds an optimal strategy to m
作者: 喃喃訴苦    時間: 2025-3-25 20:19
,Summary and?Future Work,ds are outlined at each stage. Moreover, some promising research topics are discussed for future work in the field of complex system resilience from the perspective of control and optimization, which include the systematic and rigorous framework, data-driven control and optimization method, distribu
作者: Fortuitous    時間: 2025-3-26 03:54
Control and Optimization Methods for Complex System Resilience978-981-99-3053-1Series ISSN 2198-4182 Series E-ISSN 2198-4190
作者: 枯燥    時間: 2025-3-26 04:33
https://doi.org/10.1007/978-981-99-3053-1Complex Systems; Cooperative Control; System Recovery; Security Assessment; Power System; System Protecti
作者: 不能和解    時間: 2025-3-26 11:16
978-981-99-3055-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
作者: AMOR    時間: 2025-3-26 14:04
https://doi.org/10.1007/978-3-658-24949-6ation or communication systems), social and economic organizations, and ecosystems. Undoubtedly, understanding and taming complex systems is of great significance to the advances of human society. Thus, it is crucial to develop a systematic control and optimization approach to enhancing the robustne
作者: Entirety    時間: 2025-3-26 19:54
https://doi.org/10.1007/978-3-658-24949-6al awareness errors of human operators. It remains a great challenge to systematically trace the source of cascading failures in power systems. In this chapter, we develop a mathematical model to describe the cascading outages of transmission lines in power networks. In particular, the direct curren
作者: 引水渠    時間: 2025-3-27 00:40
https://doi.org/10.1007/978-3-658-24968-7ucture systems. Due to the evolving nature of system parameters and the complicated coupling relationship of different components, it has been a great challenge to identify the contingencies that could trigger cascading blackouts of power systems. This chapter aims to develop a generic approach for
作者: FLIC    時間: 2025-3-27 02:17
https://doi.org/10.1007/978-3-658-24968-7stable state trajectories of system dynamics. Most existing works on estimating ROA rely on analytical Lyapunov functions, which are subject to two limitations: the analytic Lyapunov functions may not be always readily available, and the resulting ROA may be overly conservative. This work overcomes
作者: Constitution    時間: 2025-3-27 08:38

作者: 心胸開闊    時間: 2025-3-27 10:54
Schlussfolgerungen, Fazit und Ausblick,s. An optimal control approach is proposed to determine the most disruptive disturbances on the branch of power transmission system by regarding the disturbances as the control inputs. Moreover, protective actions such as load shedding and generation dispatch are taken into account in a convex optim
作者: sorbitol    時間: 2025-3-27 13:54

作者: Seminar    時間: 2025-3-27 19:36
Formulierung und Einhaltung der Ziele, occur. This makes it challenging to achieve the effective power system protection against cascading blackouts. By incorporating uncertainties and stochastic factors of the cascades, a Markov chain model is developed in this chapter to predict the cascading failure paths of power systems. The transi
作者: 打擊    時間: 2025-3-28 00:53

作者: Ordnance    時間: 2025-3-28 03:18
Wissen und Lernen in Unternehmenoblem of power systems subject to disruptive disturbances caused by contingencies. A novel distributed optimization algorithm for flexible alternate current transmission systems devices is proposed to adjust the branch impedance and voltage phase angle with the aid of thyristor-controlled series com
作者: 形容詞詞尾    時間: 2025-3-28 06:28

作者: 排出    時間: 2025-3-28 10:43

作者: 保存    時間: 2025-3-28 15:16
Chao ZhaiPresents a scientific methodology for systematic resilience improvement of complex systems.Identifies effective approaches for risk identification, security assessment, system protection, and recovery
作者: 作繭自縛    時間: 2025-3-28 19:57
Studies in Systems, Decision and Controlhttp://image.papertrans.cn/c/image/237337.jpg
作者: 華而不實    時間: 2025-3-29 00:18

作者: corporate    時間: 2025-3-29 06:42

作者: semble    時間: 2025-3-29 07:50
,Jacobian-Free Newton-Krylov Method for?Risk Identification,ient numerical algorithm for contingency identification is developed to search for the disruptive disturbances that lead to catastrophic cascading failures with guaranteed convergence accuracy in theory. Finally, a case study is presented to demonstrate the efficacy of the proposed identification ap
作者: 乞丐    時間: 2025-3-29 12:07

作者: Conflict    時間: 2025-3-29 15:37
,Online Gaussian Process Learning for?Security Assessment,istence of converse Lyapunov function for differential-algebraic system that serves to describe power system dynamics, as well as to estimate the region of attraction for operating states with a given confidence level. In particular, a practical method is proposed to leverage phasor measurement unit
作者: 令人心醉    時間: 2025-3-29 22:01





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