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Publikācija: Algorithm of Producers’ Profit Maximization by Optimal Operating Equipment Selection

Publication Type Full-text conference paper published in other conference proceedings
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Algorithm of Producers’ Profit Maximization by Optimal Operating Equipment Selection, Generating Power and Spinning Reserve Distribution
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Renāta Varfolomejeva
Inga Iļjina
Anatolijs Mahņitko
Keywords Optimization, Capacity, Reserve
Abstract The operating equipment selection is one of the basic problems of electrical regime planning in electrical power systems, which is connected to production costs and electri-cal power consumption minimization. The notification about the generating composition and parameters for the operat-ing equipment selection is served by producers and contain the information of technological limitation maxi-mum/minimum active capacity value, the maximal accept-able speed of active capacity increase/decrease for each station. In article the algorithm of power distribution between participants and optimal operating equipment selection (considering spinning reserve) is proposed. The algorithm realization is performed for the time period where were given summary load values, and is based on individual variable variation. As criteria of optimization task we use profit maximization function. Variables are capacity, spinning reserve, prices and sta-tion participation in the market (as for reserve providing as for power production). The algorithm operability was ap-proved on testing scheme.
Reference Varfolomejeva, R., Umbraško, I., Mahņitko, A. Algorithm of Producers’ Profit Maximization by Optimal Operating Equipment Selection, Generating Power and Spinning Reserve Distribution. In: Proceedings of the 13th International Scientific Conference "Electric Power Engineering 2012", Czech Republic, Brno, 23-25 May, 2012. Brno: Brno University of Technology, 2012, pp.193-196. ISBN 978-80-214-4514-7.
ID 13592