Lale Zeynelgil - Academia.edu (original) (raw)

Papers by Lale Zeynelgil

Advanced control for applications, Mar 7, 2023

Maintaining the terminal voltage of a power system is a crucial process and this can be achieved ... more Maintaining the terminal voltage of a power system is a crucial process and this can be achieved via a system named automatic voltage regulator (AVR). However, an AVR needs an appropriate control method. In this context, this article proposes a novel Harris hawks optimization (HHO) and simulated annealing (SA) technique which can be used for AVR. The proposed optimization technique (HHO‐SA) combines the good exploration feature of HHO with the exceptional local search feature of SA. The HHO‐SA algorithm is introduced as a novel design method to obtain the optimum parameters for proportional + integral + derivative plus second order derivative (PID + DD) controller adopted in the AVR. Time domain objective function of the system is effectively minimized and the best PID + DD parameters are obtained. The analysis of statistical tests, convergence, transient and frequency responses, root locus, and disturbance rejection along with robustness are conducted for verifying the efficiency of the HHO‐SA algorithm. Also, the performance of the HHO‐SA tuned PID + DD controller on AVR is compared with the original HHO tuned PID + DD along with PID, FOPID, and PID + DD controllers that are adjusted by state‐of‐the‐art metaheuristic methods. The practical implementation of the proposed controller is also demonstrated in this work. The extensive simulation results and comparisons with the existing controllers adopting the same set of data demonstrate the superior control performance and good robustness of the HHO‐SA tuned PID + DD controller.

DergiPark (Istanbul University), Sep 1, 2010

European Transactions on Electrical Power, Jul 1, 2003

The study includes an application of layered neural network controller to study automatic generat... more The study includes an application of layered neural network controller to study automatic generation control (AGC) problem of the power system, which contains superconducting magnetic energy storage (SMES) units. The effectiveness of SMES unit over frequency oscillations improvement against load perturbations in power system is well known. In addition, the proposed control scheme provides the steady state error of frequency and inadvertent interchange of tie-lines to be maintained in steady state values. The power system considered has three areas two of which including steam turbines while the other containing a hydro turbine, and all of them contain SMES units, in addition. In the power system each area with a steam turbine contains the non-linearity due to reheat effect of the steam turbine and all of the areas contain upper and lower constraints for generation rate. Only one neural network (NN) controller, which controls all the inputs of each area in the power system, is considered. In the NN controller, back propagation-through-time algorithm is used as neural network learning rule. The performance of the power system is simulated by using conventional integral controller and NN controller for the cases with or without SMES units in all areas, separately. By comparing the results for both cases, it can be seen that the performance of NN controller is better than conventional controllers.

European Transactions on Electrical Power, 2006

In this paper, a synchronous generator including power system stabilizer (PSS), voltage regulator... more In this paper, a synchronous generator including power system stabilizer (PSS), voltage regulator, and governor is considered. This generator also has a superconducting magnetic energy storage (SMES) unit at its terminal bus. The investigation of the transient stability enhancement for the whole system is done using SMES unit and neural network (NN) controllers, while one of the controllers affects the mechanical input; the other affects the exciter input. Thus, non-linear power system control is provided by a control application of layered neural networks. The back propagation-through-time algorithm is used as a control rule for the NN controller.

Journal of The Faculty of Engineering and Architecture of Gazi University, Apr 7, 2020

 OBL strategy is used to improve the convergence of the ASO.  The performance of PIDD 2 control... more  OBL strategy is used to improve the convergence of the ASO.  The performance of PIDD 2 controller is better than PID and FOPID controllers.  The proposed novel method is efficient and robust. Figure A. OBASO implementation block diagram for optimizing the AVR performance Purpose: This article presents a modified version of atom search optimization (ASO) algorithm that uses the opposition-based learning (OBL) to improve the search space exploration. Theory and Methods: OBL is a commonly used machine learning strategy for increasing the performance of meta-heuristic algorithms. As a new design method, the opposition-based ASO (OBASO) algorithm was proposed for the first time in determining the optimum values of the proportional-integral-derivative plus second order derivative (PIDD 2) controller parameters in an automatic voltage regulator (AVR) system. In the design problem, a new objective function, including the integral of time-weighted squared error (ITSE) and overshoot all together, was optimized with the proposed OBASO algorithm to find the best values of the PIDD 2 controller parameters. Results: The performance of the proposed OBASO tuned PIDD 2 (OBASO-PIDD 2) controller is compared to that of the classic ASO tuned PIDD 2 (ASO-PIDD 2) controller as well as the PID, fractional order PID (FOPID) and PIDD 2 controllers tuned with modern heuristic algorithms. Comparative transient and frequency response analyzes were conducted to assess the stability of the proposed approach. In addition, considering the possible changes in AVR parameters, the robustness of the proposed approach was tested. Conclusion: The extensive simulation results and comparisons with other existing controllers show that the proposed OBASO-PIDD 2 controller with a new objective function has a superior control performance and can highly improve the system robustness with respect to model uncertainties.

2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Oct 22, 2020

An optimal design of power system stabilizer (PSS) in a single-machine infinite-bus power system ... more An optimal design of power system stabilizer (PSS) in a single-machine infinite-bus power system using slime mould algorithm (SMA) is introduced in this paper. The parameter adjustment of PSS has been defined as an optimization problem and solved using SMA by minimizing a performance index based on the integral of time multiplied absolute error (ITAE). The performance of the designed SMA based PSS has been compared with the conventional PSS and grasshopper optimization algorithm (GOA) based PSS. The effectiveness of the proposed SMA based PSS in enhancing the dynamic stability of single-machine infinite-bus power system has been verified through convergence profile analysis, eigenvalue analysis and nonlinear simulations.

Advanced Control for Applications

Electric Power Components and Systems

Transactions of the Institute of Measurement and Control, 2021

This study deals with the controlling the speed of a direct current (DC) motor via a fractional o... more This study deals with the controlling the speed of a direct current (DC) motor via a fractional order proportional–integral–derivative (FOPID) controller and maintaining the terminal voltage level of an automatic voltage regulator (AVR) via a proportional–integral–derivative plus second order derivative (PIDD2) controller. To adjust the parameters of those controllers, a novel improved slime mould algorithm (ISMA) is proposed. The latter is a novel metaheuristic algorithm developed in this work. The proposed algorithm aims to improve the original SMA in terms of exploration with the aid of a modified opposition-based learning scheme and in terms of exploitation with the aid of the Nelder–Mead simplex search method. A time domain objective function, which includes time response specifications of steady state error and maximum overshoot along with rise and settling times, is used as a performance index to design the FOPID controller-based DC motor system and PIDD2 controller-based AVR...

2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2020

The International Journal of Electrical Engineering & Education, 2017

Graphical user interfaces have been progressively used in the classrooms to provide users of comp... more Graphical user interfaces have been progressively used in the classrooms to provide users of computer simulations with a friendly and visual approach to specify all input parameters with enhanced configuration flexibility. In this paper, an educational software package called PowSysGUI (Power System GUI), which runs on MATLAB and uses graphical user interfaces, has been developed for analysis and simulation of small to large size electric power systems. PowSysGUI is open-source software and anyone can see the inner structure of the program to figure out how to code a power engineering problem. It is designed as a simulation tool for researchers and educators, as it is simple to use and modify. PowSysGUI has algorithms for solving power flow, small signal stability analysis, and time-domain simulation. In the case studies, IEEE 16-machine 68-bus test system is given to show the features of the developed software tool. Moreover, classroom experience has shown that the developed softwa...

The International Journal of Electrical Engineering & Education, 2015

This paper describes a simple and didactic procedure which illustrates the benefits of the visual... more This paper describes a simple and didactic procedure which illustrates the benefits of the visual aspects of MATLAB/SIMULINK for educational purposes. The novel didactic procedure is specially developed for transient stability simulation of a multi-machine power system given with full details. Structural details of various sub-models for a multi-machine power system are provided and their implementation in SIMULINK environment is outlined. Simulation results show that the developed transient simulation model is a powerful and promising tool for transient stability studies, and very helpful to understand transient stability phenomena for students and researchers. The most salient features of the developed MATLAB/SIMULINK-based model are simplicity of use, transparency, flexibility and expandability. These special characteristics are easy to understand and can be easily modified. Hence, these features make the proposed model suitable for both educational and research purposes. In addi...

2003 IEEE Bologna Power Tech Conference Proceedings,

2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502)

Abstract This paper includes an application of layered artificial neural network controller to st... more Abstract This paper includes an application of layered artificial neural network controller to study the load-frequency control problem in a power system. The control scheme guarantees that steady state error of frequencies and inadvertent interchange of tie-lines are maintained in a given tolerance limitation. The proposed control has been designed for a three-area interconnected power system such that two areas include steam turbines and the other area includes a hydro turbine. Only one artificial neural network (ANN) controller, ...

International Journal of Electrical Power & Energy Systems, 2007

In this paper, genetic algorithm (GA), which is used for optimization of integral gains and bias ... more In this paper, genetic algorithm (GA), which is used for optimization of integral gains and bias factors, is applied to automatic generation control (AGC) in three-area power system after deregulation. The conventional three-area AGC system is modified to take into account the effect of bilateral contracts on the dynamics. In the considered power system, each area contains two GENCOs; GENCOs at the first and the second areas include steam turbines and GENCOs at the third area include hydro turbines as generating units. After deregulation, to describe bilateral contract for three-area AGC, DISCO participation matrix is used. The performance of the system is studied for different operating cases, in terms of the conventional controller gains and bias factors optimized using real coded GA.

International Journal of Electrical Power & Energy Systems, 2002

This paper presents an application of layered artificial neural network controller (ANN) to study... more This paper presents an application of layered artificial neural network controller (ANN) to study automatic generation control (AGC) problem in a four-area interconnected power system that three areas include steam turbines and the other area includes a hydro turbine. Each area of steam turbine in the system contains the reheat effect non-linearity of the steam turbine and the area of hydro turbine contains upper and lower constraints for generation rate. Only one ANN controller, which controls the inputs of each area in the power system ...

European Transactions on Electrical Power, 2002

In this puper, a neural network (NN) controller is presented for load-frequency control of power ... more In this puper, a neural network (NN) controller is presented for load-frequency control of power system. The NN controller uses back propagation-through-time algorithm. In the power system, the reheat effect of the steam turbine and the effect of governor deadband non-linearity are considered by describing function approach in the state space model. By comparing the results of simulations, the peflormance of the NN controller is better than conventional controller. NN controller gives a shorter settling time and eliminates the necessity of parameter estimation time required in conventional adaptive control techniques.

Electric Power Components and Systems, 2002

ABSTRACT

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 2020

Bu makale, arama uzayı keşfini geliştirmek için karşıt tabanlı öğrenmeyi (OBL) kullanan atom aram... more Bu makale, arama uzayı keşfini geliştirmek için karşıt tabanlı öğrenmeyi (OBL) kullanan atom arama optimizasyon (ASO) algoritmasının değiştirilmiş bir versiyonunu sunmaktadır. OBL, sezgisel-üstü algoritmaların performansını artırmak için yaygın olarak kullanılan bir makine öğrenme stratejisidir. Yeni bir tasarım metodu olarak sunulan karşıt tabanlı ASO (OBASO) algoritması, otomatik gerilim regülatörü (AVR) sistemindeki oransal-integral-türevsel artı ikinci dereceden türevsel (PIDD2) kontrolör parametrelerinin optimum değerlerinin bulunmasında ilk kez önerilmiştir. Tasarım probleminde, zaman ağırlıklı karesel hatanın integrali (ITSE) ve aşımı birlikte içeren yeni bir amaç fonksiyonu, önerilen OBASO algoritması ile optimize edilerek PIDD2 kontrolör parametrelerinin en iyi değerleri bulundu. Önerilen OBASO ayarlı PIDD2 (OBASO-PIDD2) kontrolörün performansı, klasik ASO ayarlı PIDD2 (ASO-PIDD2) kontrolörün yanı sıra modern sezgisel-üstü algoritmalarla ayarlanan PID, kesir dereceli PID (F...

DÜMF Mühendislik Dergisi

Bu çalışmada, dağıtım sistemlerinin kayıplar minimum olacak şekilde yeniden yapılandırılması amaç... more Bu çalışmada, dağıtım sistemlerinin kayıplar minimum olacak şekilde yeniden yapılandırılması amaçlanmıştır, çünkü dağıtım sistemindeki farklı karakterli yükler nedeniyle şebekedeki hatlar günün puant saatlerinde ağır yüklenir ama geri kalan saatlerde hafif yüklenir. Bu durum güç kayıplarının büyük ve gerilim profilinin düşük olamsına yol açar. Şebekenin bu değişken yük durumundan olumsuz etkilenmemesi için, gün içinde yüklerin optimal olarak dağıtılması istenir. Bu amaçla, ağır yüklenmiş hatlardan hafif yüklenmiş hatlara yük aktarılır ve şebeke yeniden yapılandırılmış olur. Bu şekilde, hem şebekedeki kayıplar azaltılmış ve hem de baraların gerilim seviyesi de yükseltilmiş olur. Şebekenin yeniden yapılandırılması, bütün yüklerin beslenmesi koşuluyla, şebekede bulunan anahtarların konumlarının (açık/kapalı) değiştirilmesiyle gerçekleştirilir. Bu makalede dağıtım sisteminin yeniden yapılandırılması için parçacık sürüsü optimizasyonu (PSO) algoritması kullanılmıştır, çünkü PSO algoritma...