A novel reliable real time scada load forecasting technique for power system

Author

Naidu, Hari Kumar

Source

Journal of Electrical Systems

Issue

Vol. 5, Issue 3 (30 Sep. 2009)

Publisher

Piercing Star House

Publication Date

2009-09-30

Country of Publication

Algeria

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

Topics

Abstract EN

The Unified Load Dispatch and Communication schemes implemented at all control centers in India are equipped with load forecasting tools to assist the Power Grid operators.

These load forecasting tools primarily use the hourly data and the algorithms are generally based on similar day forecast or on weather based forecast.

Due to instantaneous hourly sampling of data, no separate forecasting is possible for the smaller time interval within an hour.

This lacuna poses one of the major constraints in these load forecasting tools.

Therefore in this paper a novel real time load forecasting by SCADA in power system to meet the specific requirement of estimating grid demand and Frequency on Real Time basis in advance for a shorter duration of next immediate 30 minutes is developed.

In order to achieve this with the high level of accuracy, the well-defined and proven algorithms like Similar Day Forecast associated with Statistical Analysis are used on Real Time SCADA data and the present paper discusses in detail about the developed tools, its performance and results.

American Psychological Association (APA)

Naidu, Hari Kumar. 2009. A novel reliable real time scada load forecasting technique for power system. Journal of Electrical Systems،Vol. 5, no. 3.
https://search.emarefa.net/detail/BIM-169742

Modern Language Association (MLA)

Naidu, Hari Kumar. A novel reliable real time scada load forecasting technique for power system. Journal of Electrical Systems Vol. 5, no. 3 (Sep. 2009).
https://search.emarefa.net/detail/BIM-169742

American Medical Association (AMA)

Naidu, Hari Kumar. A novel reliable real time scada load forecasting technique for power system. Journal of Electrical Systems. 2009. Vol. 5, no. 3.
https://search.emarefa.net/detail/BIM-169742

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references.

Record ID

BIM-169742