Linearisation of multi-machine power system: Modeling and control – A survey

Yadaiah, N.; Ramana, N. Venkata

doi:10.1016/j.ijepes.2006.06.011

Cited by 40 publications

(21 citation statements)

References 24 publications

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“…For the purpose of robust stabilization [29][30][31][32][33], the H 1 control performance related to the system state is given in the following form…”

Section: Decentralized Controller Designmentioning

confidence: 99%

Decentralized coordinated control for large power system based on transient stability assessment

Dou

Yang

et al. 2013

International Journal of Electrical Power & Energy Systems

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“…For the purpose of robust stabilization [29][30][31][32][33], the H 1 control performance related to the system state is given in the following form…”

Section: Decentralized Controller Designmentioning

confidence: 99%

Decentralized coordinated control for large power system based on transient stability assessment

Dou

Yang

et al. 2013

International Journal of Electrical Power & Energy Systems

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“…1 to demonstrate the effectiveness of the proposed method. The excitation control equations of each synchronous generator are given as follows [29] …”

Section: Simulation Studymentioning

confidence: 99%

Study of delay-independent decentralized guaranteed cost control for large scale systems

Dou

Duan

Jia

et al. 2011

Int. J. Control Autom. Syst.

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This study introduces delay independent decentralized guaranteed cost control design method based on two controller structures for nonlinear uncertain interconnected large scale systems with time delays. First, a set of equivalent Takagi-Sugeno (T-S) fuzzy models are extended to represent the systems. Then a decentralized state-feedback guaranteed cost performance controller is proposed for the fuzzy systems. Based on delay independent Lyapunov functional approach, some sufficient conditions for the existence of the controller can be cast into the feasible problem of LMIs irrespective of the sizes of the time delays so that the system can be asymptotically stabilized for all considered uncertainties whose sizes are not larger than their bounds. Finally, the minimizing approach is proposed to search the suboptimal upper bound value of guaranteed cost function. Moreover, the corresponding conditions are extended into the generalized dynamic output-feedback close-loop system. Finally, the better control performances of the proposed methods are shown by the simulation examples.

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“…Such a complex model is very difficult to deal with, in the controller design and implementation, unless some simplifications are made [12] are neglected), which is connected to an AC network via step-up transformer and transmission lines (Fig. 2), was used to develop the nonlinear excitation control algorithm based on the Lyapunov's direct method [13][14][15].…”

Section: Design Of the Nonlinear Algorithmmentioning

confidence: 99%

Development and Implementation of Control Algorithms for Synchronous Generator

Erceg

Sumina

2011

Automatika

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Original scientific paperThis paper proposes a DSP based simulator for development and implementation of control algorithms. The simulator is used to control a synchronous aggregate model in real time. The simulator consists of a PC (on which a synchronous generator connected to AC network is simulated) connected through a communication channel to a DSP (on which the control algorithm is implemented). The simulator makes implementation of a control algorithm faster and easier. It also enables verification of a control algorithm in real time. Simulation results show that there are no significant differences between non-real time simulations (on a PC) and real time simulations (on a DSP based simulator). This paper also presents design and implementation of a nonlinear control algorithm for excitation control system based on the Lyapunov's direct method. Both conventional excitation control algorithm and proposed nonlinear excitation control algorithm were implemented and tested on the real time simulator. The obtained simulation results show that proposed nonlinear excitation control algorithm better damps electromechanical oscillations than conventional excitation control algorithm.Key words: Dynamic simulator, Excitation control, Real time system, Synchronous generator Razvoj i implementacija upravljačkih algoritama za sinkroni generator. U radu je prezentirana upotreba simulatora za rad u stvarnom vremenu za razvoj i implementaciju upravljačkih algoritama. Simulator je korišten za upravljanje modelom sinkronog agregata u realnom vremenu. Simulator se sastoji od osobnog računala (na kojem se simulira model generatora spojen na elektroenergetski sustav) koje je preko komunikacijskog kanala spojen na DSP (na koji je implenetiran upravljački algoritam). Simulator omogućuje bržu i jednostavniju implementaciju upravljačkog algoritma. Isto tako omogućuje verifikaciju upravljačkog algoritma u realnom vremenu. Isto tako, u ovom radu dana je izvedba i implementacija nelinearnog algoritma upravljanja uzbudom zasnovana na direktnoj teoriji Ljapunova. I klasičan i predloženi nelinearni algoritam upravljanja uzbudom su implementirani i testirani na simulatoru za rad u stvarnom vremenu. Rezultati simulacije pokazuju da sustav s predloženim nelinearnim algoritmom upravljanja uzbudom bolje prigušuje elektromehaičke oscilacije u odnosu na sustav s klasičnim algoritmom upravljanja uzbudom.Ključne riječi: dinamički simulator, regulacija uzbude generatora, sustavi za rad u stvarnom vremenu, sinkroni generator

show abstract

Linearisation of multi-machine power system: Modeling and control – A survey

Cited by 40 publications

References 24 publications

Decentralized coordinated control for large power system based on transient stability assessment

Decentralized coordinated control for large power system based on transient stability assessment

Study of delay-independent decentralized guaranteed cost control for large scale systems

Development and Implementation of Control Algorithms for Synchronous Generator

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