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Innovative Research Publications IRP India

Selected Works

2015

Neural Network

Articles 1 - 2 of 2

Full-Text Articles in Entire DC Network

Stability Enhancement For Transmission Lines Using Neural Network In Static Synchronous Series Compensator, Innovative Research Publications Irp India, Ishwar Lal Yadav, Satayadharma Bharti Jun 2015

Stability Enhancement For Transmission Lines Using Neural Network In Static Synchronous Series Compensator, Innovative Research Publications Irp India, Ishwar Lal Yadav, Satayadharma Bharti

Innovative Research Publications IRP India

In this paper, a Static Synchronous Series Compensator (SSSC) is used to investigate the effect of this device in controlling active and reactive powers as well as damping power system oscillations in transient mode. During the analyzing its found that the SSSC based power oscillation damping system cannot able to sustain the power oscillations neither alone nor with lead-leg POD controller, so this work proposes SSSC structure equipped with the neural network controller to efficiently sustain the power oscillations. SSSC has a source of energy in the DC link which can supply or absorb the reactive and active power to …


Add A New Input To Neural Network With Genetic Learning Algorithm To Improve Short-Term Load Forecasting, Innovative Research Publications Irp India, Vahideh Miryazdi, Mohammad Ghasemzadeh, Ali Mohammad Latif May 2015

Add A New Input To Neural Network With Genetic Learning Algorithm To Improve Short-Term Load Forecasting, Innovative Research Publications Irp India, Vahideh Miryazdi, Mohammad Ghasemzadeh, Ali Mohammad Latif

Innovative Research Publications IRP India

Short-term load forecasting (STLF) plays an essential role in the economic system and save the country's electricity supply. In this paper, are used a neural network with genetic learning algorithm for forecasting the electric power load of Khorasan area in Iran. Because the importance of neural network inputs, select the optimal inputs is deducted errors system. Consumption load is a nonlinear function of various factors such as weather conditions and periodic changes. This paper proposed a new variable together with the data load and temperature parameters for the problem of STLF. The variable obtained from the load curves and effect …