Implementation of Proportional-Integral-Observer Techniques for Load Frequency Control of Power System

Hussein, Arkan Ahmed; Salih, Sabah Sadeem; Ghasm, Yaroub Ghazi

doi:10.1016/j.procs.2017.05.307

Cited by 20 publications

(10 citation statements)

References 6 publications

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“…Therefore, it is advisable to find a structure of lower order which can be easier applied, but still offers a stronger error attenuation than the proportional observer. An intermediate structure between the proportional and the PI observers is a reduced order integral unit PI observer (PIr) [46,47], described with the following equations:…”

Section: Reduced Order Integral Unit Pi Observermentioning

confidence: 99%

Developing Induction Motor State Observers with Increased Robustness

Białoń¹,

Pasko²,

Niestrój³

2020

Energies

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This paper presents the results of recently conducted research on Luenberger observers with non-proportional feedbacks. The observers are applied for the reconstruction of magnetic fluxes of an induction motor. Structures of the observers known from the control theory are presented. These are a proportional observer, a proportional-integral observer, a modified integral observer, and an observer with additional integrators. The practical application of some of these observers requires modifications to their structures. In the paper, the simulation results for all mentioned types of observers are presented. The simulations are performed with a Scilab-Xcos model which is attached to this paper. The problem of gains selection of the observers is discussed. Gains are selected with the described optimization method based on a genetic algorithm. A Scilab file launching the genetic algorithm also is attached to this paper.

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Section: Reduced Order Integral Unit Pi Observermentioning

confidence: 99%

Developing Induction Motor State Observers with Increased Robustness

Białoń¹,

Pasko²,

Niestrój³

2020

Energies

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“…This can be achieved by the load frequency control (LFC) methods. Nowadays, plenty research work is going on to make the systems intelligent so the systems can successfully serve the benefits of all customers [2].…”

Section: Introductionmentioning

confidence: 99%

“…Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Bacterial Foraging Optimization (BFO) [2].…”

Section: Introductionmentioning

confidence: 99%

Design and Application of Optimally-Tuned Variable Parameters PID Controller for Nonlinear Engineering Systems

Aboelela

2022

European Journal of Formal Sciences and Engineering

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The goal of this article is to investigate the implementation of the Cuckoo Search Algorithm (CSA) as an optimization technique to determine the parameters of variable parameters PID (VP-PID) controller. The VP-PID has three parameters that have to be optimally evaluated. A case of three physical imbedded nonlinearities in a single area electric power system has been selected to test the suitability of the proposed technique. The integral-square error (ISE) criterion has been considered as a part of the objective function together with the percentage overshoot and settling time. Matlab/Simulink software has been used in the simulation process. The simulation results show that the proposed VP-PID controller furnishes a better performance than the conventional PID controller.

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“…The work of Youssef et al presents a novel method to address a PIO design for the actuator and sensor fault estimation on the basis of the Takagi‐Sugeno fuzzy model with immeasurable premise variables. A proportional integral observer is proposed to design a state feedback control for the load frequency of a single area isolated power system model in the work of Hussein et al, and the control result is superior to conventional one.…”

Section: Introductionmentioning

confidence: 99%

State and fault estimation of sandwich systems with hysteresis

Zhou

Liu

2018

Intl J Robust & Nonlinear

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Summary In this paper, a switched proportional integral observer (PIO) is designed for estimating the states and fault of sandwich systems with hysteresis. In the system, the actuator fault and sensor noise have been included simultaneously. The switched PIO contains a changeable transition matrix and a switched item, which can switch according to different working points of the hysteresis. The estimation errors of the states and fault are analyzed, and a theorem is given to illustrate the estimation errors of the states and fault, which are both bounded. The problem of selecting an appropriate feedback matrix of the switched PIO has been translated into an optimization problem with feedback matrix tuning. The effectiveness of the switched PIO has been testified in the simulation with a real application case. Moreover, to show the good performance of the switched PIO, a conventional PIO is proposed and compared in the simulation. The results show that the switched PIO is superior to the conventional one.

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Implementation of Proportional-Integral-Observer Techniques for Load Frequency Control of Power System

Cited by 20 publications

References 6 publications

Developing Induction Motor State Observers with Increased Robustness

Developing Induction Motor State Observers with Increased Robustness

Design and Application of Optimally-Tuned Variable Parameters PID Controller for Nonlinear Engineering Systems

State and fault estimation of sandwich systems with hysteresis

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