DocumentCode
791663
Title
Volt/VAr control in distribution systems using a time-interval based approach
Author
Hu, Z. ; Wang, X. ; Chen, H. ; Taylor, G.A.
Author_Institution
Electr. Power Eng. Dept., Xi´´an Jiaotong Univ., China
Volume
150
Issue
5
fYear
2003
Firstpage
548
Lastpage
554
Abstract
A strategy for volt/VAr control in distribution systems is described. The aim is to determine optimum dispatch schedules for on-load tap changer (OLTC) settings at substations and all shunt capacitor switching based on the day-ahead load forecast. To reduce switching operations for OLTC at substations, a time-interval based control strategy is adopted that decomposes a daily load forecast into several sequential load levels. A genetic algorithm based procedure is used to determine both the load level partitioning and the dispatch scheduling. The proposed strategy minimises the power loss and improves the voltage profile for a whole day across the whole system, whilst ensuring that the number of switching operations is less than the maximum daily allowance. A comparison of numerical studies and their associated results illustrates both the feasibility and the effectiveness of the proposed strategy.
Keywords
capacitor switching; genetic algorithms; load forecasting; losses; on load tap changers; power distribution control; power generation dispatch; power generation scheduling; reactive power control; substations; voltage control; VAr control; daily load forecast decomposition; day-ahead load forecast; dispatch scheduling; distribution systems; genetic algorithm based procedure; load level partitioning; maximum daily allowance; on-load tap changer; optimum dispatch schedules; power loss minimisation; shunt capacitor switching; substations; switching operations; switching operations reduction; time-interval based control strategy; volt control; voltage profile improvement;
fLanguage
English
Journal_Title
Generation, Transmission and Distribution, IEE Proceedings-
Publisher
iet
ISSN
1350-2360
Type
jour
DOI
10.1049/ip-gtd:20030562
Filename
1233537
Link To Document