NDLI: Long-term security-constrained unit commitment for reliability analyses

Content Provider	IEEE Xplore Digital Library
Author	Shahidehpour, M. Zuyi Li
Copyright Year	2009
Description	Author affiliation: Electrical and Computer Engineering Department Illinois Institute of Technology (Shahidehpour, M.; Zuyi Li)
Abstract	This presentation discusses a model for calculating the cost of power system reliability based on the stochastic optimization of long-term security-constrained unit commitment (SCUC). Random outages of generating units and transmission lines as well as load forecasting inaccuracy are modeled as scenario trees in the Monte Carlo simulation. The presentation considers uncertainties when calculating the optimal reserve in the unit commitment solution as a tradeoff between minimizing operating costs and satisfying power system reliability requirements. The probabilistic reliability criteria, i.e. LOLE as a constraint and EENS cost are introduced in the objective function of the SCUC problem. The optimal operating point of power systems is based on the minimum total cost which includes operating and EENS costs. This optimal point is influenced by power system characteristics, generating unit and transmission line constraints, fuel prices, and load shedding costs. The optimal reserve level is implicitly determined by this optimal point which indicates that the marginal cost of additional reserves at the optimal point is equal to the marginal cost of reducing EENS at that point. The study can be used for the scheduling of fuel contracts as well the maintenance outage of components in a vertically integrated utility. The same formulation applies to long-term applications in an ISO while satisfying short term constraints in electricity markets. The proposed model can be used by a vertically integrated utility or an ISO. In the first case, the utility considers the impact of long-term fuel and emission scheduling on power system reliability studies. In the second case, fuel and emission constraints of individual generating companies are submitted as energy constraints when solving the ISO's reliability problem. Numerical simulations indicate the effectiveness of the proposed approach for minimizing the cost of reliability in stochastic power systems [1].
Starting Page	1
Ending Page	1
File Size	271650
Page Count	1
File Format	PDF
ISBN	9781424442416
ISSN	19449925
DOI	10.1109/PES.2009.5275854
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system reliability Cost function Fuels Power system modeling Stochastic systems Power transmission lines ISO Load forecasting Predictive models Uncertainty
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

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