NDLI: Impact of planning uncertainties in power plant operation planning

Content Provider	IEEE Xplore Digital Library
Author	Hinuber, G. Haubrich, H.-J.
Copyright Year	2009
Description	Author affiliation: Institute of Power Systems and Power Economics (IAEW) of RWTH Aachen University, Schinkelstr. 6, D-52056 Aachen, Germany (Hinuber, G.; Haubrich, H.-J.)
Abstract	Due to the implementation of new markets, i.e. intraday markets as well as the markets for reserve, a higher number of planning uncertainties has to be considered within the operation planning of power plants. Besides outages of thermal power plants and prices at day-ahead wholesale markets, the prices at the intraday market and the market for minute reserve as well as the requested amount of reserve energy by the transmission system operator are not known at the point of time when the operation planning is carried out. Thus, prognoses for these values have to be made. For a better integration of the stochastic characteristics of these values into the planning process, different possible realizations of the uncertain input data in form of scenarios should be modeled instead of a single consideration of estimated values. Within this paper, a stochastic optimization method is described, which adequately integrates the stochastic characteristics of the relevant input parameters into the operation planning process, resulting in distribution functions of typical output values like the contribution margin.
Starting Page	1
Ending Page	6
File Size	552710
Page Count	6
File Format	PDF
ISBN	9781424422340
DOI	10.1109/PTC.2009.5282197
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-28
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Power generation Process planning Power system planning Stochastic processes Optimization methods Power system modeling Robustness Risk management Distribution functions outages Planning uncertainties operation planning intraday market
Content Type	Text
Resource Type	Article

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