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On the stochastic self-scheduling of a power producer in simultaneous/aggregated energy and reserves markets

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2 Author(s)
V. Vahidinasab ; Center of Excellence for Power Systems Automation and Operation, dept. of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran ; S. Jadid

This paper presents a stochastic model for self-scheduling of a thermal power producer which participates in day ahead joint (simultaneous and aggregated) energy and reserves markets. The paper analyzes a scenario-based approach that considers random distribution, such as force outages of generating units as well as price forecasting inaccuracies. The above uncertainties are modeled as scenario tree using a combined Fuzzy C-Mean/Monte-Carlo Simulation (FCM/MCS) method. With the above procedure the stochastic optimization problem is converted into corresponding deterministic problem which is formulated as a mixed integer nonlinear programming (MINLP) problem. Numerical simulations for a power producer with 21 generating units are discussed to demonstrate the effect of price uncertainties and unit's forced outages on the scheduling of units.

Published in:

Power Engineering Conference, 2009. AUPEC 2009. Australasian Universities

Date of Conference:

27-30 Sept. 2009