You need JavaScript to view this

Adaptive algorithm for predicting increases in central loads of electrical energy systems

Abstract

An adaptive algorithm for predicting increases in central loads of the electrical energy system is suggested for the task of evaluating the condition. The algorithm is based on the Kalman filter. In order to calculate the coefficient of intensification, the a priori assigned noise characteristics with low accuracy are used only in the beginning of the calculation. Further, the coefficient of intensification is calculated from the innovation sequence. This approach makes it possible to correct errors in the assignment of the statistical noise characteristics and to follow their changes. The algorithm is experimentally verified.
Publication Date:
Jan 01, 1982
Product Type:
Book
Reference Number:
EDB-83-160104
Resource Relation:
Related Information: No. 848-82
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; ELECTRIC POWER; LOAD MANAGEMENT; USSR; ENERGY DEMAND; ALGORITHMS; FORECASTING; POWER SYSTEMS; ASIA; DEMAND; EASTERN EUROPE; ENERGY SYSTEMS; EUROPE; MANAGEMENT; MATHEMATICAL LOGIC; POWER; 296000* - Energy Planning & Policy- Electric Power
OSTI ID:
5788817
Country of Origin:
USSR
Language:
Russian
Availability:
Plenum Publishing Corp., New York, NY.
Submitting Site:
HEDB
Size:
Pages: 9
Announcement Date:

Citation Formats

Arbachyauskene, N A, and Pushinaytis, K V. Adaptive algorithm for predicting increases in central loads of electrical energy systems. USSR: N. p., 1982. Web.
Arbachyauskene, N A, & Pushinaytis, K V. Adaptive algorithm for predicting increases in central loads of electrical energy systems. USSR.
Arbachyauskene, N A, and Pushinaytis, K V. 1982. "Adaptive algorithm for predicting increases in central loads of electrical energy systems." USSR.
@misc{etde_5788817,
title = {Adaptive algorithm for predicting increases in central loads of electrical energy systems}
author = {Arbachyauskene, N A, and Pushinaytis, K V}
abstractNote = {An adaptive algorithm for predicting increases in central loads of the electrical energy system is suggested for the task of evaluating the condition. The algorithm is based on the Kalman filter. In order to calculate the coefficient of intensification, the a priori assigned noise characteristics with low accuracy are used only in the beginning of the calculation. Further, the coefficient of intensification is calculated from the innovation sequence. This approach makes it possible to correct errors in the assignment of the statistical noise characteristics and to follow their changes. The algorithm is experimentally verified.}
place = {USSR}
year = {1982}
month = {Jan}
}