Nonlinear Control Systems and Power System Dynamics

Lu, Qiang; Sun, Yuanzhang; Mei, Shengwei

doi:10.1007/978-1-4757-3312-9

Cited by 236 publications

(168 citation statements)

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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]. This kind of a simplification assumes very small speed deviation (∆ω ≈ 0).…”

Section: Design Of the Nonlinear Algorithmmentioning

confidence: 99%

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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

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Section: Design Of the Nonlinear Algorithmmentioning

confidence: 99%

“…The simplified third order mathematical model of synchronous generator connected to AC network is given by [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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“…Some achievements using nonlinear control theories including the feedback linearization have been accomplished in the past [4,5]. However, these control methods do not lend themselves easily to a physical interpretation of their action on the system.…”

Section: Introductionmentioning

confidence: 99%

Transient stability analysis and control of power systems with considering flux decay by energy function approach

Lu¹,

Zhang²

2012

Bulletin of the Polish Academy of Sciences: Technical Sciences

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Abstract. In this paper, transient stability of power systems with structure preserving models is considered. A Hamiltonian function which can be regarded as a Lyapunov function for the system is proposed. Based on this, the influence of flux decay dynamics, especially during a fault, on transient stability is analyzed. With the increase of load power, the variation of stability boundary in the rotor angle/E ′ q plane is shown. The Energy-based excitation control, aiming at injecting additional damping into the post-fault system may reduce the critical clearing time (CCT). This can be demonstrated by the comparison of different flux decay dynamics in the fault-on condition, and the reason is illustrated by the relationship between rotor angle/E ′ q and the stability boundary. An improved control strategy is proposed and applied to increase the CCT. Simulation results verify that improvement is obtained both in transient stability and dynamic performance.

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“…Power networks are among the most complex large-scale, interconnected nonlinear systems (see [1], [2] for the development of dynamical models of increasing complexity). They have continuously increased in size, power and number of components, but with a large acceleration in the last two decades.…”

Section: Introductionmentioning

confidence: 99%

Robust transient stabilisation problem for a synchronous generator in a power network

Verrelli

Damm

2010

International Journal of Control

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The robust transient stabilization problem (with stability proof) of a synchronous generator in an uncertain power network with transfer conductances is rigorously formulated and solved. The generator angular speed and electrical power are required to be kept close, when mechanical and electrical perturbations occur, to the synchronous speed and mechanical input power, respectively, while the generator terminal voltage is to be regulated, when perturbations are removed, to its pre-fault reference constant value. A robust adaptive nonlinear feedback control algorithm is designed on the basis of a third order model of the synchronous machine: only two system parameters (synchronous machine damping and inertia constants) along with upper and lower bounds on the remaining uncertain ones are supposed to be known. The conditions to be satisfied by the remote network dynamics for guaranteeing L2 and L∞ robustness and asymptotic relative speed and voltage regulation to zero are weaker than those required by the single machine-infinite bus approximation: dynamic interactions between the local deviations of the generator states from the corresponding equilibrium values and the remote generators states are allowed.

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Nonlinear Control Systems and Power System Dynamics

Cited by 236 publications

References 0 publications

Development and Implementation of Control Algorithms for Synchronous Generator

Development and Implementation of Control Algorithms for Synchronous Generator

Transient stability analysis and control of power systems with considering flux decay by energy function approach

Robust transient stabilisation problem for a synchronous generator in a power network

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