Artificial Intelligent Systems and Machine Learning

P. Mohana Kumari ¹, A. Nalini ¹, E. Sheeba Percis ¹

Affiliations
1 Department of Electrical & Electronics Engineering, Dr. M. G. R. Educational and Research Institute, IN

Abstract

The project objective is to develop an equivalent model of a part of a power system based on PMU measurement. Here we need to monitor power system stabilizer speed by using wide area monitor, for this purpose we are injecting pseudo random binary sequence as a input to generator 1 and we are getting the speed deviation signal as output. To monitor the wide area system in this project non linear estimation technique it is based on Hammerstein wiener model. In this project kundur's two area four machine system is used , Kundur's Two-Area Four-Machine (TAFM) system consisting of two fully symmetrical areas linked together by two 220 km, 230 kV transmission lines is considered as case study in this paper. This power system typically is used to study the low frequency electromechanical oscillations of a large interconnected system.

Keywords

WAMPAC, PRBS.

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Aswini ¹, A. Nalini ¹, E. Sheeba Percis ¹, S. Bhuvaneshwari ¹

Affiliations
1 Dr.M.G.R Educational and Research Institute, Chennai, Tamil Nadu, IN

Abstract

The advancement in communication and measurement techniques accelerate the development of wide area monitoring and control, based on the wide area measurement system. In this study, global information of power system will be introduced. By analyzing and computing real-time wide area monitoring and control based on neural network. This method is implemented on the MATLAB.

Keywords

Phasor Measurement Units, Phase Data Concentrator, Neural Network, Global Positioning Satellite System, Wide Area Monitoring and Control System.

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P. Anu Priya ¹, E. Sheeba Percis ², A. Nalini ², G. Pandi Sabareeswari ²

Affiliations
1 Electrical and Electronics Engineering, Dr. MGR Educational Research Institute, IN
2 Department of Electrical and Electronics Engineering, Dr. MGR Educational Research Institute, IN

Abstract

Recently the usage of renewable energy resources has increased since there is a large gap between demand and supply. In southern part of Tamilnadu, Chennai many wind farms have been installed. There is a wide range of machines used for the same, among which the DFIG with full converter control is taken for study. This paper gives an overview of modeling and simulation of DFIG coupled with wind turbine through the full converter. The main advantage of DFIG with full converter over the other generator, it is being using the most of the wind applications. The aim of using full converter is gives the 100%output compared to other converter. Finally the result shows the response of simulation model of DFIG with full converter by using the PSCAD.

Keywords

Wind Turbine, DFIG, Full Converter, Vector Control.

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