NDLI: A fast probabilistic voltage assessment method for distribution system integrated with wind power generation

Content Provider	IEEE Xplore Digital Library
Author	Can Chen Boming Zhang Wenchuan Wu
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering, Tsinghua University, Beijing, China (Can Chen; Boming Zhang; Wenchuan Wu)
Abstract	Renewable energy sources, especially wind energy, are widely used in distribution system. To study the influence of wind power fluctuation on distribution system voltage profile, a new probabilistic model for wind power is proposed. The new model combines both Latin Hypercube Sampling (LHS) and scenario reduction techniques together, generating a small number of scenarios to represent wind power uncertainty. Here, one scenario is for one wind power production, with a corresponding probability. Moreover, for each scenario, a backward-forward load flow method is performed and node voltage profile in this scenario can be obtained. Based on the calculation results, some probabilistic characteristics for node voltage such as mean and standard deviation can be achieved. To verify the proposed wind power probabilistic model, the solution for IEEE33-bus test system is compared with Monte Carlo Simulation (MCS).
Starting Page	1
Ending Page	6
File Size	196435
Page Count	6
File Format	PDF
ISBN	9781467348232
ISSN	21593450
e-ISBN	9781467348249
e-ISBN	9781467348225
DOI	10.1109/TENCON.2012.6412306
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-19
Publisher Place	Philippines
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind power generation Wind speed Load flow Wind turbines Probabilistic logic Fluctuations Probability density function scenario distribution system probabilistic voltage assessment wind power
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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

Voltage Security Analysis on the Distribution Network Integrated with Wind Power Using Probabilistic Load Flow

Increasing wind power penetration level based on hybrid wind and Photovoltaic generation

Impact of unbalanced penetration of small wind turbines on voltage violation in residential distribution networks

Probabilistic analysis of radial distribution network performance with varying wind speed levels

Probabilistic load flow in distribution systems containing dispersed wind power generation

Voltage Quality Assessment in a Distribution System With Distributed Generation—A Probabilistic Load Flow Approach

Studies on voltage fluctuation in the integration of wind power plants using probabilistic load flow

Possibilistic-Scenario Model for DG Impact Assessment on Distribution Networks in an Uncertain Environment

Enhanced cumulant method for probabilistic power flow in systems with wind generation

A fast probabilistic voltage assessment method for distribution system integrated with wind power generation

Similar Documents

Voltage Security Analysis on the Distribution Network Integrated with Wind Power Using Probabilistic Load Flow

Increasing wind power penetration level based on hybrid wind and Photovoltaic generation

Impact of unbalanced penetration of small wind turbines on voltage violation in residential distribution networks

Probabilistic analysis of radial distribution network performance with varying wind speed levels

Probabilistic load flow in distribution systems containing dispersed wind power generation

Voltage Quality Assessment in a Distribution System With Distributed Generation—A Probabilistic Load Flow Approach

Studies on voltage fluctuation in the integration of wind power plants using probabilistic load flow

Possibilistic-Scenario Model for DG Impact Assessment on Distribution Networks in an Uncertain Environment

Enhanced cumulant method for probabilistic power flow in systems with wind generation

A fast probabilistic voltage assessment method for distribution system integrated with wind power generation