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Title: Probabilistic performance assessment of autonomous solar-wind energy conversion systems

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) models (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.

Authors:
; ;
Publication Date:
Research Org.:
American Univ. of Beirut, New York, NY (US)
OSTI Identifier:
20001190
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers)
Additional Journal Information:
Journal Volume: 14; Journal Issue: 3; Other Information: PBD: Sep 1999; Journal ID: ISSN 0018-9383
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING AND POLICY; 14 SOLAR ENERGY; 17 WIND ENERGY; POWER SYSTEMS; OPERATION; PHOTOVOLTAIC POWER PLANTS; WIND POWER PLANTS; PERFORMANCE; COMPUTERIZED SIMULATION; RENEWABLE ENERGY SOURCES

Citation Formats

Karaki, S.H., Chedid, R.B., and Ramadan, R. Probabilistic performance assessment of autonomous solar-wind energy conversion systems. United States: N. p., 1999. Web. doi:10.1109/60.790949.
Karaki, S.H., Chedid, R.B., & Ramadan, R. Probabilistic performance assessment of autonomous solar-wind energy conversion systems. United States. doi:10.1109/60.790949.
Karaki, S.H., Chedid, R.B., and Ramadan, R. Wed . "Probabilistic performance assessment of autonomous solar-wind energy conversion systems". United States. doi:10.1109/60.790949.
@article{osti_20001190,
title = {Probabilistic performance assessment of autonomous solar-wind energy conversion systems},
author = {Karaki, S.H. and Chedid, R.B. and Ramadan, R.},
abstractNote = {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) models (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.},
doi = {10.1109/60.790949},
journal = {IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers)},
issn = {0018-9383},
number = 3,
volume = 14,
place = {United States},
year = {1999},
month = {9}
}