NDLI: Evaluation of transmission reinforcement strategies using risk indices in the presence of uncertainties

Content Provider	IEEE Xplore Digital Library
Author	Gomes, B.A. Saraiva, J.T.
Copyright Year	2010
Description	Author affiliation: Faculdade de Engenharia da Universidade do Porto, Portugal (Gomes, B.A.) \|\| Faculty of Engineering of Porto University and with the Power Systems Unit of INESC Porto, Rua Dr. Roberto Frias, 378, 4200-465, Portugal (Saraiva, J.T.)
Abstract	This paper describes a hybrid approach in which generation cost and demand uncertainties are represented by fuzzy numbers and the life cycle of system components is modeled by probabilistic models. The Monte Carlo simulation model is used to sample system states according to the failure rates of the system components and a Fuzzy DC OPF model is used to analyse each sampled state. This Fuzzy DC OPF model adopts multi-parametric optimization techniques and admits that loads, generation costs or both of them simultaneously are modeled using fuzzy numbers. At the end of this process, it is possible to compute estimates of the Power Not Supplied and also of the exposure and robustness indices that characterize the ability that the system has to accommodate the specified uncertainties. This information can then be used to characterize the ability each reinforcement has in increasing the robustness of the system. Finally, the paper includes results for two case studies. On of them is based on a 6 bus system and the second uses the IEEE 24 bus/38 branch test system to illustrate the developed approaches.
Starting Page	1
Ending Page	6
File Size	1266634
Page Count	6
File Format	PDF
ISBN	9781424468386
e-ISBN	9781424468409
DOI	10.1109/EEM.2010.5558769
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Computational modeling reliability data Robustness risk indices fuzzy models multiparametric techniques Uncertainties Monte Carlo simulation
Content Type	Text
Resource Type	Article

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

Agents for fuzzy indices of reliability power system with uncertainty using Monte Carlo algorithm

Risk evaluation of uncertainties in generation scheduling using Monte Carlo Simulation

Generation/transmission power system reliability evaluation by Monte Carlo simulation assuming a fuzzy load description

Pareto robust reliability-based controller design for probabilistic uncertain systems using fuzzy rules

Monte Carlo simulation based military communication effectiveness robustness analysis

Zonal partitioning of deregulated power systems using fuzzy Monte Carlo simulation

Evaluation of system reliability using seasonal and random operation techniques

The application of Monte Carlo computer simulation in investment risk analysis

The Evaluation System of the Social Development Risk Based on the Factor Analysis and Monte Carlo Simulation

Evaluation of transmission reinforcement strategies using risk indices in the presence of uncertainties

Similar Documents

Agents for fuzzy indices of reliability power system with uncertainty using Monte Carlo algorithm

Risk evaluation of uncertainties in generation scheduling using Monte Carlo Simulation

Generation/transmission power system reliability evaluation by Monte Carlo simulation assuming a fuzzy load description

Pareto robust reliability-based controller design for probabilistic uncertain systems using fuzzy rules

Monte Carlo simulation based military communication effectiveness robustness analysis

Zonal partitioning of deregulated power systems using fuzzy Monte Carlo simulation

Evaluation of system reliability using seasonal and random operation techniques

The application of Monte Carlo computer simulation in investment risk analysis

The Evaluation System of the Social Development Risk Based on the Factor Analysis and Monte Carlo Simulation

Evaluation of transmission reinforcement strategies using risk indices in the presence of uncertainties