Title :
The power station regime management under uncertainty
Author :
Sauhats, Antans ; Varfolomejeva, Renata
Author_Institution :
Riga Tech. Univ., Riga, Latvia
Abstract :
The topicality of the task of power systems regimes optimization is significantly improved under the conditions of market economy. Developing the tasks for optimization of the regimes of electrical stations and power systems the changing of the optimization criteria should be considered as a significant innovation. The power station regime optimization is stochastic, multi-dimensional, multi-parameter etc.; that is why such task optimization should be made with using games theory criterion as well as Pareto principle. In this paper the optimization stochastic algorithm is synthesized and proved its operation feasibility for the station regime.
Keywords :
optimisation; power system management; stochastic processes; market economy; optimization stochastic algorithm; power station regime management; power station regime optimization; power systems regimes optimization; task optimization; uncertainty condition; Educational institutions; Game theory; Optimization; Power generation; Power systems; Uncertainty; modeling; power system planning; stochastic systems;
Conference_Titel :
Power and Electrical Engineering of Riga Technical University (RTUCON), 2014 55th International Scientific Conference on
Conference_Location :
Riga
Print_ISBN :
978-1-4799-7460-3
DOI :
10.1109/RTUCON.2014.6998177