International Journal of Electrical and Power Engineering
ISSN: Online 1993-6001ISSN: Print 1990-7958
Abstract
Indian power sector is undergoing structural as well as regulatory changes to inculcate competition, improve grid operation. Under changing scenario, the utilities have exposed to many uncertainties and challenges. Implementation of Availability Based Tariff (ABT) is one of the important steps taken by Indian Ministry of Power and govt, so that utilities can earn commercial benefits keeping pace with satisfactory grid operation. The special feature of ABT is the correlation of system frequency with the price of power available at grid. The ABT has Unscheduled Interchange (UI) component which depends on frequency. The volatile nature of frequency results in uncertainty in the price of power. Hence to ascertain the price of power, it is necessary to predict frequency. Frequency being a randomly varying parameter, its prediction is difficult. An attempt is made to use Artificial Neural Network (ANN) as a viable tool for predicting frequency. Once frequency is predicted, UI rate can be estimated to enable utilities to take operational decisions. Under ABT, frequency plays a governing role in scheduling the available generation while fulfilling load. Hence, Generation Scheduling (GS) has become an adaptive decision making problem linked up with frequency and price of power. An approach of incorporating power available at grid as additional generator with duly modified cost curve in GS task is reported. The technical as well as commercial benefits experienced by Indian power sector are validated through results along with calculation of additional cost likely to be incurred by the utility due to error in estimating frequency.
How to cite this article:
Surekha R. Deshmukh, D.J. Doke and Y.P. Nerkar. Generation Scheduling and Evaluation of Risk under Frequency Dependant Availability Based Tariff.
DOI: https://doi.org/10.36478/ijepe.2011.166.173
URL: https://www.makhillpublications.co/view-article/1990-7958/ijepe.2011.166.173