NDLI: Effect of Load Models on Probabilistic Characterization of Aggregated Load Patterns

Content Provider	IEEE Xplore Digital Library
Author	Mousavi, S.M. Abyaneh, H.A.
Copyright Year	1969
Abstract	This paper presents a comprehensive approach to probabilistic characterization of aggregated load pattern of low-voltage consumers. Different from previous methods, consumer load patterns obtained from load survey are converted to empirical cumulative density functions. The functions are then used to address stochastic nature of load pattern in any given point of distribution network. The proposed approach is adopted to investigate the effect of load models on the characterization of aggregated load patterns. In addition, a goodness-of-fit analysis has been carried out to show that the load models can significantly affect the accuracy of aggregated load modeling. It is demonstrated that the constant power (real and reactive) load model which is normally adopted in most distribution network management studies may lead to misleading results compared to the actual network. Case studies are presented and discussed with reference to a real distribution network. The results verify that the proposed method is accurate and flexible, and the voltage-dependent load model is the most promising solution for the aggregated load modeling.
Sponsorship	IEEE Power Engineering Society
Starting Page	811
Ending Page	819
Page Count	9
File Size	556092
File Format	PDF
ISSN	08858950
Volume Number	26
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Load modeling Probabilistic logic Power demand Voltage measurement Data models Accuracy Reactive power power distribution power demand
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Probabilistic Distribution Load Flow With Different Wind Turbine Models

Development of Low-Voltage Load Models for the Residential Load Sector

Short-Term Predictability of Load Series: Characterization of Load Data Bases

Corrective Voltage Control Scheme Considering Demand Response and Stochastic Wind Power

Fuzzy dynamic programming approach to reactive power/voltage control in a distribution substation

Effect of Load Models in Distributed Generation Planning

Probabilistic load flow in distribution systems containing dispersed wind power generation

Aggregated Modeling and Control of Air Conditioning Loads for Demand Response

Influence of normalization in dynamic reactive load models

Effect of Load Models on Probabilistic Characterization of Aggregated Load Patterns

Similar Documents

Probabilistic Distribution Load Flow With Different Wind Turbine Models

Development of Low-Voltage Load Models for the Residential Load Sector

Short-Term Predictability of Load Series: Characterization of Load Data Bases

Corrective Voltage Control Scheme Considering Demand Response and Stochastic Wind Power

Fuzzy dynamic programming approach to reactive power/voltage control in a distribution substation

Effect of Load Models in Distributed Generation Planning

Probabilistic load flow in distribution systems containing dispersed wind power generation

Aggregated Modeling and Control of Air Conditioning Loads for Demand Response

Influence of normalization in dynamic reactive load models

Effect of Load Models on Probabilistic Characterization of Aggregated Load Patterns