NDLI: Adjustment of discrete load changes in feeder databases for improving medium-term demand forecasting

Content Provider	IET Digital Library
Author	Paredes, Gonzalo Vargas, Luis
Abstract	A discrete load change (DLC) event may be described as an abrupt change in feeder demand. These events are due to network reconfigurations, or the connection/disconnection of large consumers to the grid. This phenomenon affects the performance of load forecasting methods and, in general, it may worsen any planning or operational application that uses feeder demand records as input. This study proposes four load adjustment (LA) methods to correct this type of distortion from distribution system demand database. The methods are tested by using real demand values, encompassing six years of hourly data registered in 169 feeders, of a distribution company. To test the effectiveness of the LA methods, in medium-term load forecasting, a comparative study using different forecasting techniques is performed. Results show that demand forecasting, with DLC adjustment, improve their average performance over 33% compared to the case were this phenomena is not considered.
Starting Page	4002
Ending Page	4008
Page Count	7
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 16, Nov (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0129
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-07-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Discrete Load Changes Adjustment Distribution System Demand Database DLC Feeder Database LA Method Load Adjustment Method Load Forecasting Medium-term Demand Forecasting Medium-term Load Forecasting Power System Planning And Layout
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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