Probabilistic performance assessment of autonomous solar-wind energy conversion systems

Author

Karaki, S.H. ; Chedid, R.B. ; Ramadan, R.

Author_Institution

Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Lebanon

Volume

14

Issue

3

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

766

Lastpage

772

Abstract

This paper describes the development of a general probabilistic model of an autonomous solar-wind energy conversion system (SWECS) composed of several wind turbines (wind farm), several photovoltaic (PV) modules (solar park), and a battery storage feeding a load. The model takes into consideration outages due to the primary energy fluctuations and hardware failure. It allows the simulation of wind farms and solar parks containing either identical or different types of wind turbines and PV modules with the load being fed from either the renewable sources, or the battery storage, or both. A methodology is also presented to determine an upper limit on the size of the battery storage required to satisfy a given load profile taking into consideration the charging/discharging of the batteries

Keywords

photovoltaic power systems; probability; solar cell arrays; wind power plants; wind turbines; PV modules; autonomous solar-wind energy conversion systems; batteries charging/discharging; battery storage; hardware failure; load profile; photovoltaic modules; primary energy fluctuations; probabilistic performance assessment; renewable sources; wind farm; wind turbines; Batteries; Energy conversion; Energy storage; Fluctuations; Hardware; Load modeling; Photovoltaic systems; Solar power generation; Wind farms; Wind turbines;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/60.790949

Filename

790949