ShodhGangotri Indian Research in Progress
 

ShodhGangotri: Repository of Indian Research in Progress >
Maharishi Markandeshwar University >
Department of Electrical Engineering >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1077

Title: Forecasting issues in present day power systems
Keywords: Day power systems
Electrical
Forecasting
Researcher: Saroha, Sumit
Guide(s): Aggarwal, Sanjeev Kumar
Registration Date: 2012
Abstract: In present day power systems, operational planning is a major concern. For successful newlineoperation of the power system a number of variables need to be forecasted with maximum newlineaccuracy over different forecasting horizons. However, different variables possess different characteristics and in literature different methodologies have been developed by the researchers for forecasting of these variables. Among many forecasting issues, three are of vital importance namely: (i) load forecasting, (ii) price forecasting, and (iii) wind speed and wind power forecasting. Load forecasting is essential for successful power system operation and control, newlinewhile price forecasting is essential for risk management in deregulated electricity markets. As the level of penetration of renewable energy sources within the power system has increased, wind power forecasting has become important because of unique characteristics of wind energy and its newlineeffect on power system operation. Consequently a large number of researchers are working towards developing good and reliable forecasting models in the recent years and many different approaches have been developed. However, forecasting is a complex task and many exogenous variables interact in an intricate manner. Because of ever increasing complexity of the power newlinesystem, forecasting these variables with maximum accuracy and minimum computational effort is still an open research issue. Considering these issues in mind, this thesis will focus on electricity load and price forecasting as well as wind power prediction. Different forecasting models will be developed based on time frame, specific application areas which are inadequately newlineresearched and forecasting technique. These models will also be compared with the results of the previous models available in the existing literature.
Language: English US
Appears in Department:Department of Electrical Engineering

Files in This Item:

File Description SizeFormat
synopsis.pdfAttached File227.98 kBAdobe PDFView/Open

Items in ShodhGangotri are available on open access mode, unless otherwise indicated.

 

Valid XHTML 1.0!
Copyright 2011-2012 INFLIBNET Centre, Infocity, Gandhinagar, Gujarat,INDIA  - Feedback or email at webmaster [Powered by DSpace] Disclaimer