Decentralized robust guaranteed cost control for multimachine power systems (original) (raw)
Related papers
Decentralised control of multimachine power systems with guaranteed performance
IEE Proceedings - Control Theory and Applications, 2000
The paper focuses on a robust dcccntralised excitation control of inultimachine power systems. The authors are concerned with the design of a decentralised state feedback controller for the powcr system to enhance its transient stability and ensure a guaranteed level of performance when there exist variations of generator parameters due to changing load and/or network topology. It is shown that the power system can be modelled as a class of interconnected systems with uncertain parameters and interconnections. The authors develop a guaranteed cost control technique for the interconnected system using a linear matrix inequality (LMI) approach. A procedure is given for the minimisation of the cost by employing the powerful LMI tool. The proposed controller design is simulated for a three-machine power system example. Simulation results show that the decentralised guaranteed cost control greatly enhances thc transient stability of the power system in the face of various operating points, faults in different locations or changing network parameters.
Decentralized constrained optimal control of the multimachine power system stability improvement
Indonesian Journal of Electrical Engineering and Computer Science, 2020
This paper proposes a decentralized constrained optimal control of the multimachine power system stability. Today's power networks operate closer to their maximum limits. Alternative Current power grids are more vulnerable and subject to instability than ever before. A three machine power system and four machines, power system connected with a lossy transmission line, is investigated. The linearized dynamical equations of the multimachine power system are obtained near to an equilibrium point, and it can be stabilized by using a decentralized constrained controller based on optimal control. The feedback controller, which comprises independent control stations, receives the measurement data and influences the control input of the machine attached to it the subsystems. State feedback controller guarantees that the closed-loop system is stable and can guarantee the performance index. The designed controlled systems are based on the Algebraic Riccati Equations, and all its poles are in the closed left half-plane. Decentralized constrained optimal control of the multimachine power system is achieved through simulation results. The following results are proposed by improving power system stability.
Decentralized Nonlinear Controller Design for Multimachine Power Systems via Backstepping
In this paper, a backstepping-based decentralized control scheme is proposed for transient stability enhancement of multi-machine power systems. The design is based on two stages: First, an equivalent single-machine infinite-bus model (SMIB) is developed with respect to each machine. Then, apart from each SMIB model, a decentralized nonlinear control scheme based on a backstepping technique is designed which guarantees asymptotic stability of the overall interconnected power system. Some simulation results demonstrate the effectiveness of this approach.
Nonlinear decentralized control of large-scale power systems
Automatica, 2000
This paper describes an application of nonlinear decentralized robust control to large-scale power systems. Decentralized power controllers are designed explicitly to maintain transient stable closed-loop systems. For the "rst time, nonlinear bounds of generator interconnections are used which achieves less-conservative control gains. The proposed controllers are robust with regard to uncertain network parameters and attenuate the persistent disturbances in the sense that the¸-gain from the disturbance to the power frequency is reduced to a certain level. Simulations on a two-generator in"nite bus power system exhibit enhancement of system transient stability at di!erent conditions of operation points, fault locations and network parameters.
Robust decentralized turbine/governor control using linear matrix inequalities
A new scheme is presented for the robust decentralized stabilization of multimachine power systems, based on linear matrix inequalities (LMI). The proposed method is computationally efficient and can easily incorporate additional design requirements. The efficiency of this control strategy is illustrated on the IEEE 39 bus system for a variety of large disturbances. Experimental results indicate that transient stability can be significantly improved with this approach.
Decentralized stabilization of large electric power systems
Computers & Electrical Engineering, 1984
This paper considers the problem of stabilizing the dynamics of a large electric power system, represented by a linear time invariant system of equations, by using several decentralized (or local) state feedback control laws. The stabilization problem is formulated into a functional minimization problem which implicitly controls the closed-loop eigenvalues of the controlled system. The constraint of decentralization is tackled in the minimization algorithm by using the method of feasible directions. To illustrate the application of the algorithm, it is used to stabilize a three machine electric power system.
Decentralized nonlinear control design for multi-machine power systems
2005
This paper is concerned with the control of power systems. We design a control approach for a class of nonlinear systems, closely related to sliding modes but without switching. Simulations results performed on the basis of two versions of the sliding-mode controller and applied to a multi-machine model have demonstrated better performances when compared to an Hamiltonian passive controller design.
Indian Journal of Science and Technology, 2016
Large-scale systems, i.e. ecological networks (or ecosystems), water grids and traffic networks, normally compose of many subsystems with a numerous number of nonlinearities and uncertainties. This is because such systems have large dimension, high dynamic order, unknown parameters, restriction of information about the system behaviors, etc. Therefore, it is highly challenging to tackle the modeling and control of a large-scale system to ensure the quality, the stability as well as the reliability of the network 1,2. As a typical case of the large-scale systems, a multi-machine electric power grid contains many subsystems, including synchronous generators, power stations, transmission lines and distribution networks. Furthermore, random disturbances, such as load variations and sudden phenomena, usually appear in an
Transactions of the Institute of Measurement and Control, 2018
This paper presents a new robust decentralized control of nonlinear interconnected systems, which is applied and validated on a large scale power system. Our work is performed in three steps. Firstly, we have developed the polynomial description of the nonlinear uncertain and interconnected system using odd Kronecker power of state vectors, which is an easy-manipulation model for such complex systems. Then we applied Lyapunov’s direct method of stability analysis, associated with a quadratic function, in order to determine a sufficient condition for global asymptotic stability by applying a nonlinear, decentralized and optimal polynomial control. Finally, we carried out a simulation study on a nonlinear uncertain power system with three interconnected machines. We considered different cases of perturbations on its state variables as well as different cases of fault locations. We prove via advanced simulations, the effectiveness of the proposed control technique which is able to miti...