Governor Dead Band Nonlinearity Research Articles

Fuzzy Sliding Mode Load Frequency Control of Multiarea Interconnected Power Systems

A fuzzy sliding mode load frequency control method for multiarea interconnected power systems is proposed in this paper. The method using sliding mode surface with integral model makes the systems can reach on switching surface from any initial state. After reaching on switching surface, systems are controlled by PI controller based on new area control error. The coefficient of switching control is adjusted by fuzzy control model automatically. When considering generation rate constraint and the governor deadband nonlinearity, the proposed control method can make systems have good dynamic performance. The design of controller in each area only considers the state information of itself area, and doesn't consider the one of the others, thus make decentrilised control be easier. Simulation results show that the proposed method is simple, effective, and can ensure that the overall system is asymptotically stable.

98/00396 Structure optimization of power system with different redundant elements

Controllers design problems are multi objective optimization problems as the controller must satisfy several performance measures that are often conflicting and competing with each other. In multi-objective approach a set of solutions can be generated from which the designer can select a final solution according to his requirement and need. This paper presents the design and analysis Proportional Integral (PI) and Proportional Integral Derivative (PID) controller employing multi-objective Non-Dominated Shorting Genetic Algorithm-II (NSGA-II) technique for Automatic Generation Control (AGC) of an interconnected system. To minimize the effect of noise in the input signal, a filter is employed with the derivative term. Integral Time multiply Absolute Error (ITAE), minimum damping ratio of dominant eigenvalues and settling times in frequency and tie-line power deviations are considered as multiple objectives and NSGA-II is employed to generate Pareto optimal set. Further, a fuzzy-based membership value assignment method is employed to choose the best compromise solution from the obtained Pareto solution set. The proposed approach is first applied to a linear two-area power system model and then extended to a non-linear power system model by considering the effect of governor dead band non-linearity. The superiority of the proposed NSGA-II optimized PI/PID controllers has been shown by comparing the results with some recently published modern heuristic optimization approaches such as Bacteria Foraging Optimization Algorithm (BFOA), Genetic Algorithm (GA) and Craziness based Particle Swarm Optimization (CPSO) based controllers for the similar interconnected power systems.

Sampled data automatic generation control with superconducting magnetic energy storage in power systems

A discrete state-space model of a two-area interconnected power system with reheat steam turbine, governor deadband nonlinearity and superconducting magnetic energy storage is developed in this paper. The effect of a small-capacity superconducting magnetic energy storage (SMES) system is studied in relation to supplying sudden power requirements of real power load. The feasibility of using an IGBT power converter instead of a thyristor converter as a power conditioning system with the SMES is studied. Time domain simulation results are also presented which show the improvement of transient response with SMES.

Improved load-frequency control with capacitive energy storage

Electromechanical oscillations in a power system can be effectively damped by fast acting energy storage devices, because additional energy storage capacity is provided as a supplement to the kinetic energy storage in the moving mass of the generator rotor. The energy storage devices share the sudden changes in power requirement in the load. A new scheme using a small rating capacitive energy storage unit is proposed in this paper for improvement of the dynamic performance of a power system having load-frequency control. A comprehensive digital computer model of a two-area interconnected power system, which includes the governor dead-band non-linearity, steam reheat turbine, boiler dynamics and the generator rate constraint, is developed for the analysis.

AUTOMATIC GENERATION CONTROL WITH SUPERCONDUCTING MAGNETIC ENERGY STORAGE IN POWER SYSTEM

ABSTRACT This paper describes the development of a digital computer model for a two area interconnected power system which includes the governor deadband nonlinearity, steam reheat constraints and boiler dynamics. The improvement in automatic generation control (AGO with the addition of a small capacity Superconducting Magnetic Energy Storage (SMES) unit is studied. Time domain simulations are used to study the performance of the power system and the controller. Parameter optimization of the controller are carried out by the second method of Lyapunov, which ensures the stability of the system. Suitable methods for the control of SMES unit are also described.

Effect of superconducting magnetic energy storage on automatic generation control considering governor deadband and boiler dynamics

A comprehensive digital computer model of a two-area interconnected power system including the governor deadband nonlinearity, steam reheat constraints, and the boiler dynamics is developed. The improvement in automatic generation control (AGC) with the addition of a small-capacity superconducting magnetic energy storage (SMES) unit is studied. Time-domain simulations were used to study the performance of the power system and control logic. Optimization of gain parameters and the stability studies were carried out by the second method of Lyapunov. Suitable methods for the control of SMES units are described. >

ELECTRIC POWER SYSTEM WITH GOVERNOR DEADBAND NONUNEARITY: MODELING AM) CONTROL

This paper presents studies of the dynamic performance of a hydro-thermal power system under the effect of governor deadband nonlinearity. The describing function approach is utilized to handle the nonlinearity beside a linearized state space model for the rest of the system. A new dodel is developed for the load frequency control problem of a two-area hydro-thermal power system comprised of thermal and hydro plant which differ widely in their characteristics. The optimal and decentralized control approaches are applied to control the behaviour of the system. It is found that the principal effects of speed governor backlash nonlinearity produce more oscillations in area frequency deviation. Also, it is observed that the proposed control techniques improves system response and succeeded in stabilizing the system.

Small rating capacitive energy storage for dynamic performance improvement of automatic generation control

A new scheme using a small rating capacitive energy storage (CES) unit for the improvement of the dynamic performance of a power system is proposed. A comprehensive digital computer model of a two-area interconnected power system including governor dead-band non-linearity, steam reheat constraints and boiler dynamics is developed. Time domain simulations are used to study the performance of the power system and control logic. Optimisation of gain parameters and stability studies are carried out by the second method of Lyapunov. Suitable methods for control of the CES units are described.

Effect of Governor Dead-Band on Variable Structure Controller Performance for LFC of Interconnected Power Systems

Abstract The effect of governor dead-band nonlinearity is considered by using the describing function approach. Results show that the governor dead-band (backlash) nonlinearity has a significant effect on the system performance only for small disturbances. A variable structure control algorithm and the conventional integral control are investigated in this paper. It is shown that the variable structure controller is less sensitive to this nonlinearity.

Sampled Data Automatic Generation Control Analysis with Reheat Steam Turbines and Governor Dead-Band Effects

In this paper a systematic method of choosing the frequency bias parameter and the integrator gain of the sampled data supplementary control is presented by using the discrete version of the Lyapunov technique. The reheat effect of the steam turbines is considered in the state space model. The effect of governor dead-band nonlinearity is considered by using the describing function approach and including the linearized equations in the state space model. It is shown that the governor dead-band nonlinearity has a destabilizing effect on the transient response with deterministic and random load disturbances for purely integral ACE control. However, this destabilizing effect is reduced by proportional feedback of ACE.

Optimisation of load-frequency control parameters for power systems with reheat steam turbines and governor deadband nonlinearity

Optimisation of load-frequency control parameters for power systems with reheat steam turbines and governor deadband nonlinearity

A Comparative Study of the Effects of Governor Dead-Band Nonlinearity on Stability of Conventional and Dynamic Load-Frequency Controls

The governor dead-bend nonlinearity has significant effects on the small signal dynamic stability of power systems. However, a little analytical work has been reported in the literature on the effect of this nonlinearity on stability of load-frequency control systems. The object of the present paper is to demonstrate the destabilizing effect of this nonlinearity on conventional load-frequency controls by means of the Popov criterion.Another objective of the paper is to show that this destabilizing effect can be eliminated with dynamic feedbacks of the output.

Stability of Load Frequency Control System for Interconnected Power Systems with Governor Dead-Band Nonlinearity

The domain separation method is used for an appropriate choice of parameters on the basis of a linear model of load frequency control. A Popov plot is then used to check if the system is stable with governor dead-band nonlinearity.

Early Irish Literature. Eleanor Knott , Gerard Murphy

Previous articleNext article No AccessBook ReviewsEarly Irish Literature. Eleanor Knott , Gerard Murphy Robert T. MeyerRobert T. Meyer Search for more articles by this author PDFPDF PLUS Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmail SectionsMoreDetailsFiguresReferencesCited by Modern Philology Volume 65, Number 4May, 1968 Article DOIhttps://doi.org/10.1086/390007 Citations: 1Citations are reported from Crossref Copyright 1968 The University of ChicagoPDF download Crossref reports the following articles citing this article:S. C. Tripathy, N. Saha Stability of Load Frequency Control System for Interconnected Power Systems with Governor Dead-Band Nonlinearity, The International Journal of Electrical Engineering & Education 13, no.33 (Jul 2016): 231–240.https://doi.org/10.1177/002072097601300312

Calorimetric method for determining efficiencies of electric machines : Victor Siegfred, Charles W. Thulin and senior students in electrical engineering at Worcester Polytechnic Institute describe this method in Electrical Engineering, Vol. 61, No. 7

In this paper, a novel hybrid Firefly Algorithm and Pattern Search (hFA–PS) technique is proposed for Automatic Generation Control (AGC) of multi-area power systems with the consideration of Generation Rate Constraint (GRC). Initially a two area non-reheat thermal system with Proportional Integral Derivative (PID) controller is considered and the parameters of PID controllers are optimized by Firefly Algorithm (FA) employing an Integral Time multiply Absolute Error (ITAE) objective function. Pattern Search (PS) is then employed to fine tune the best solution provided by FA. The superiority of the proposed hFA–PS based PID controller has been demonstrated by comparing the results with some recently published modern heuristic optimization techniques such as Bacteria Foraging Optimization Algorithm (BFOA), Genetic Algorithm (GA) and conventional Ziegler Nichols (ZN) based PI/PID controllers for the same interconnected power system. Furthermore, sensitivity analysis is performed to show the robustness of the optimized controller parameters by varying the system parameters and operating load conditions from their nominal values. Finally, the proposed approach is extended to multi area multi source hydro thermal power system with/without considering the effect of physical constraints such as time delay, reheat turbine, GRC, and Governor Dead Band (GDB) nonlinearity. The controller parameters of each area are optimized under normal and varied conditions using proposed hFA–PS technique. It is observed that the proposed technique is able to handle nonlinearity and physical constraints in the system model.

The measurement of body currents : Robert S. Schwab ( Electrical Engineering, Vol. 60, No. 10)

In this paper, a novel hybrid Firefly Algorithm and Pattern Search (hFA–PS) technique is proposed for Automatic Generation Control (AGC) of multi-area power systems with the consideration of Generation Rate Constraint (GRC). Initially a two area non-reheat thermal system with Proportional Integral Derivative (PID) controller is considered and the parameters of PID controllers are optimized by Firefly Algorithm (FA) employing an Integral Time multiply Absolute Error (ITAE) objective function. Pattern Search (PS) is then employed to fine tune the best solution provided by FA. The superiority of the proposed hFA–PS based PID controller has been demonstrated by comparing the results with some recently published modern heuristic optimization techniques such as Bacteria Foraging Optimization Algorithm (BFOA), Genetic Algorithm (GA) and conventional Ziegler Nichols (ZN) based PI/PID controllers for the same interconnected power system. Furthermore, sensitivity analysis is performed to show the robustness of the optimized controller parameters by varying the system parameters and operating load conditions from their nominal values. Finally, the proposed approach is extended to multi area multi source hydro thermal power system with/without considering the effect of physical constraints such as time delay, reheat turbine, GRC, and Governor Dead Band (GDB) nonlinearity. The controller parameters of each area are optimized under normal and varied conditions using proposed hFA–PS technique. It is observed that the proposed technique is able to handle nonlinearity and physical constraints in the system model.