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

fYear

2004

Firstpage

439

Lastpage

444

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems, 2004 International Conference on

Print_ISBN

0-9761319-1-9

Type

conf

Filename

1378728