Title :
Application of Monte Carlo simulation to generating system well-being analysis considering renewable sources
Author :
Silva, Armando M Leite da ; Manso, Luiz Ant?µnio F ; Sales, Warlley S. ; Resende, Leonidas C. ; Aguiar, Manuel J Q ; Matos, Manuel A. ; Lopes, Jo?£o A Pe?§as ; Miranda, Vladimiro
Author_Institution :
Power Syst. Unit, INESC, Porto, Portugal
Abstract :
This paper presents an application of Monte Carlo chronological simulation to evaluate the reserve requirements of generating systems, considering renewable energy sources. The idea is to investigate the behavior of reliability indices, including those from the well-being analysis, when the major portion of the energy sources is renewable. Renewable in this work comprises hydroelectric, minihydroelectric and wind power sources. Case studies on a configuration of the Portuguese generating system are presented and discussed.
Keywords :
Monte Carlo methods; hydroelectric power stations; power generation reliability; power system simulation; wind power plants; Monte Carlo chronological simulation; Portuguese generating system; hydroelectric power sources; minihydroelectric power sources; power system reliability; renewable energy sources; well-being analysis; wind power sources; Energy consumption; Hydroelectric power generation; Marketing and sales; Power generation; Power system analysis computing; Power system planning; Renewable energy resources; Wind energy; Wind energy generation; Wind forecasting;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN :
0-9761319-1-9
