Informatics Publishing Limited

Rangu Manikar ¹, A. Nalini ¹, E. Sheeba Percis ¹, G. Pandi Sabareeswari ¹

Affiliations
1 Department of EEE, Dr. M.G.R University, Chennai, Tamilnadu, IN

Abstract

This paper focuses on the advanced optimization technique which is used to know the dynamic behavior of the power system when it is subjected to any disturbance by tuning the data of the power system. Power system is a major complex system and therefore developing detail mathematical modeling is very difficult. That's the reason neural network is used to estimate the dynamic behavior of the power system, not from the mathematical modeling, but from the input-output data of the power system. A recurrent neural network (RNN) has been proved to be very effective for dynamic system identification. It is important to tune the weights of RNN, so that optimal values of those weights are obtained and the neural network can effectively predict the system states. In this project, particle swarm optimization technique-Quantum Infusion is used to reduce average error value so that it can track the system dynamics of the power system properly. Particle Swarm Optimization (PSO) is generally used to tune the weights of a neural network. PSO, though very effective, sometimes get trapped into a local optimum and fail to reach the global optimum. An advanced version of PSO which is called PSO with Quantum Infusion (PSO-QI) can be very effective to avoid being trapped in a local optimum. Finally, the dynamic behavior of the power system is demonstrated using the MATLAB software package.

Keywords

Wide Area Monitoring, Protection and Control System, Optimization Technique, PMU, SMT, PDC.

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Bikash Kumar Mohanta ¹, Ajay Kumar ¹, Akansha Choudhary ¹, Chitra Pillai ¹, G. Pandi Sabareeswari ²

Affiliations
1 Dr. M.G.R. Educational and Research Institute University, IN
2 E.E.E Department, Dr. M.G.R Educational and Research Institute University, IN

Abstract

Automatic detection of explosives using wireless sensor networks monitors and tracks the IEDs that are placed by terrorists at public environments. The area under study is monitored in real time, collect data by the sensor and send to the processor which process the data and compares with the database and if there is a match the processor enables the buzzer which provides early warning to the people in that area. Current system in operation uses sensors which are very expensive and not very sensitive and also uses a good deal of power. The paper sensor is coated with chemical compounds that are frequently used in explosives so that it will be easy for the sensor to know the type of IED used.

Keywords

IEDs, TNT, GSM TECHNOLOGY, DSP Algorithm.

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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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