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An Optimal DF Based Method for transient stability analysis

Computers, Materials & Continua 2022年第2期70卷 3449-3471页

作者： Z.A.Zaki Emad M.Ahmed Ziad M.Ali Imran Khan Department of Electrical Engineering College of EngineeringJouf UniversitySakaka2014Al-JoufSaudi Arabia Electrical Engineering Department College of EngineeringPrince Sattam bin Abdulaziz UniversityWadi Addawaser11991Saudi Arabia Electrical Engineering Department Aswan Faculty of EngineeringAswan UniversityAswan81542Egypt Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan

The effect of energy on the natural environment has become increasingly severe as human consumption of fossil energy has *** capacity of the synchronous generators to keep working without losing synchronization when the system is exposed to severe faults such as short circuits is referred to as the power system’s transient *** the power system’s safe and stable operation and mechanism of action become more complicated,higher demands for accurate and rapid power system transient stability analysis are *** methods for analyzing transient stability are less accurate because they do not account formisclassification of unstable *** a result,this paper proposes a novel approach for analyzing transient *** key concept is to use deep forest(DF)and a neighborhood rough reduction approach *** the neighborhood rough sets,the original feature space is obtained by creating many optimal feature subsets at various granularity ***,by deploying the DF cascade structure,the mapping connection between the transient stability state and the features is *** weighted voting technique is used in the learning process to increase the classification accuracy of unstable *** contrasted to current methods,simulation results indicate that the proposed approach outperforms them.

关键词： transient stability analysis power system cascade structure optimal power flow

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On expansion of estimated stability region:Theory,methodology,and application to power systems

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Science China(Technological Sciences) 2011年第6期54卷 1394-1406页

作者： LIU Feng WEI Wei MEI ShengWei State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University 100084 Beijing China

The expansion of the estimated stability region plays an important role in the stability analysis of nonlinear ***,current literatures have not provided a complete mathematical description for this *** paper reveals that essentially the enlargement or the compression of the estimated stability region results directly from the diffeomorphism map,which is induced by the flow contained in the stability *** proving that any integration algorithm with an order higher than one can approximately trace the flow of the system,a generalized methodology is proposed to construct various algorithms to realize the enlargement or the compression of the estimated stability *** this methodology,two new algorithms based on symbolic calculation are suggested to reduce the computational ***,this methodology is applied to construct a scalable numerical algorithm to calculate the critical clearing time(CCT) of the power system for given *** on the IEEE 10-machine 39-bus system show that the computational results coincide well with the step-by-step simulation with high accuracy.

关键词： nonlinear system stability region power systems transient stability analysis

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