NDLI: A Probabilistic Production Costing Methodology for Seasonal Operations Planning of a Large Hydro and Thermal Power System

Content Provider	IEEE Xplore Digital Library
Author	Andersson, Stig Sjelvgren, Denis
Copyright Year	1969
Abstract	This paper describes the results or several years' work in designing and implementing a probabilistic production costing methodology in the model for seasonal operations planning at the Swedish State Power Board (SSPB). The probabilistic production costing methodology can handle a detailed representation of the thermal system and the interchange of power to neighbouring systems. The nuclear units are modelled as a multistate and multiblock unit in combination with certain regulating rules for the off-loading process. The fossil fired units are in general multiblock units and the successive blocks for a given unit are not sequentially merit order loaded. The load is represented by three duration curves for one week. The probabilistic production costing simulation is based on a two-stage approach using the cumulant method. The first stage works in an iterative mode with the optimizer and the second stage is employed when the optimizer has converged. The model of seasonal planning including the probabilistic production costing model has been implemented in an information system (POP) at the SSPB.
Sponsorship	IEEE Power Engineering Society
Starting Page	119
Ending Page	125
Page Count	7
File Size	1160501
File Format	PDF
ISSN	08858950
Volume Number	1
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1986-11-01
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 Production systems Costing Production planning Power system modeling Power system reliability Power generation Water storage Marketing and sales Information systems
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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