Aysen Demiroren

The application of ANN technique to automatic generation control for multi-area power system

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 together, is considered. In the study, back propagation-through-time algorithm is used as ANN learning rule. By comparing the results for both cases, the performance of ANN controller is better than conventional controllers.

The application of ANN technique to load-frequency control for three-area power system

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, which controls the inputs of each area in the power system together, is considered. In the study, a back propagation-through-time algorithm is used as a neural network learning rule. The performance of the power system is simulated by using a conventional integral controller and ANN controller, separately. By comparing the results for both cases, the performance of an ANN controller is better than conventional controllers.

Automatic Generation Control by Using ANN Technique

This paper investigates an application of layered artificial neural network for automatic generation control of the power system. Computer simulations on the interconnected power system with two areas that include reheater effect and also the governor deadband effect show that the artificial neural network control scheme proposed is effective in damping out oscillations resulted by load perturbations. Only one artificial neural network controller, which controls the inputs of each area in the power system together, is considered. By comparing the obtained results with conventional controllers, it is shown that the performance of artificial neural network controller is better than conventional controllers. In this paper, back propagation-through-time algorithm is used as neural network learning rule.This paper investigates an application of layered artificial neural network for automatic generation control of the power system. Computer simulations on the interconnected power system with two areas that include reheater effect and also the governor deadband effect show that the artificial neural network control scheme proposed is effective in damping out oscillations resulted by load perturbations. Only one artificial neural network controller, which controls the inputs of each area in the power system together, is considered. By comparing the obtained results with conventional controllers, it is shown that the performance of artificial neural network controller is better than conventional controllers. In this paper, back propagation-through-time algorithm is used as neural network learning rule.

Automatic Generation Control Using ANN Technique for Multi-Area Power System with SMES Units

This paper presents an application of layered artificial neural network (ANN) controller to study automatic generation control (AGC) problem of a four-area interconnected power system in which three areas include steam turbines and the other area includes a hydro turbine, and all of the areas include superconducting magnetic energy storage(SMES) units. In the study, back propagation-through-time algorithm is used to cope with the non-linear dynamics. As the system equations are satisfactory, no ANN emulator is used. The performance of the power system is simulated by using conventional integral controllers and ANN controller. By comparing the results of simulations, the performance of the ANN controller is better than conventional controllers.

Modelling and Simulation of Synchronous Machine Transient Analysis Using Simulink

This work describes a method which illustrates the benefits of the visual aspects of MATLAB/SIMULINK for educational purposes. The method is specially developed for transient analysis of synchronous machines given by a simplified model. Details such as the exciter circuit, turbine and governor systems of a synchronous machine which is linked to an infinitive bus through two equivalent lines are given and this system is implemented in SIMULINK. The considered synchronous machine has a rated power capacity of 160 MVA and rated voltage of 15 kV.

Effects of a wind farm and FACTS devices on static voltage stability of Bursa transmission system in Turkey

This paper represents voltage stability analysis of the Bursa transmission system including a new installed wind farm for both normal operation and contingencies. The system is analyzed using static approaches in which continuation power flow method (CPF) and sensitivity information from tangent vector analysis are performed. Voltage stability of the system is investigated for peak load conditions of 2008. Simulation results demonstrate effect of the new installed wind farm on static voltage stability of the Bursa transmission system and identfy the weakest bus. In order to improve the voltage stability of the system, FACTS devices such as STATCOM and SVC is used. Simulation results also present the acts of STATCOM and SVC and suitable location of these devices.

A didactic procedure for transient stability simulation of a multi-machine power system utilizing SIMULINK:

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 addition, classroom experience has shown that the didactic procedure helps in consolidating a better understanding of power system transient stability.

Middle Anatolian Region Short-Term Load Forecasting Using Artificial Neural Networks

In recent years, several studies of short-term load forecasting using different of artificial neural network structures have been reported. In this paper, an application of short-term load forecasting is investigated by multilayer perceptron structure. Actual load and temperature data of the Middle Anatolian Region in the years 2002 and 2003 are used for this investigation. In this study, maximum temperature, minimum temperature, and day type factors are used to construct the forecasting model. Also, load forecasting for the same region is obtained by the regression method to compare the effectiveness of the artificial neural network method.

PowSysGUI: A new educational software package for power system stability studies using MATLAB/Simulink

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 software package helps in consolidating a better understanding of power system stability phenomena.

Robust Voltage/VAR Control Using PSO Based STATCOM: A Case Study in Turkey

Abstract In this paper, voltage stability assessment of a real power system subjected to a large disturbance is introduced by a combination of static and dynamic approaches. In the first part of the study, the system is analyzed for both normal operation and contingencies by using static analysis tool in which continuation power flow method (CPF) is performed. In order to improve static and dynamic voltage stability, a shunt flexible AC transmission system (FACTS) device, static synchronous compensator (STATCOM) is employed to the system as an additional voltage support device. However, action of the STATCOM is directly influenced by proper functioning of the controller. Poorly tuned STATCOM controller results in voltage oscillations. Main purpose of the paper is optimal parameter tuning of the STATCOM in order to improve the dynamic voltage control capability in the case of occurence of a severe disturbance in the power system. Therefore, in the second part of the study, the tuning problem of the STATCOM is converted to an optimization problem which minimizes the voltage deviations. Particle swarm optimization (PSO) technique is applied to the problem in search of the optimal control parameters of the STATCOM.