NDLI: Investment Planning for Hydro-Thermal Power System Expansion: Stochastic Programming Employing the Dantzig-Wolfe Decomposition Principle

Content Provider	IEEE Xplore Digital Library
Author	Sanghvi, Arun P. Shavel, Ira H.
Copyright Year	1969
Abstract	This paper presents an application of the Dantzig-Wolfe decomposition principle to the problem of investment planning in the electric power sector. The formulation of the capacity planning problem incorporates uncertainties in long-term load growth and in fuel supply availability. In addition, the formulation permits the inclusion of such demand-side investment decisions as conservation as well as conventional and renewable supply investments, and it allows flexibility in modeling system reliability. Reliability targets can be incorporated as constraints or reliability can be optimized by minimizing customer outage costs in addition to investment costs and operating costs. Results of an application to the Pacific Northwest, involving problem sizes up to 30,000 rows and 54,000 columns, are reported.
Sponsorship	IEEE Power Engineering Society
Starting Page	115
Ending Page	121
Page Count	7
File Size	1734134
File Format	PDF
ISSN	08858950
Volume Number	1
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1986-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system planning Investments Stochastic systems Cost function Capacity planning Uncertainty Fuels Availability Power system modeling Reliability
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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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
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