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Autonomous wind/solar power systems with battery storage

Miscellaneous:

Abstract

The performance of an autonomous hybrid renewable energy system consisting of combined photovoltaic/wind power generation with battery storage is under evaluation in this thesis. Detailed mathematical analysis of the renewable components and the battery was necessary in order to establish the theoretical background for accurate simulation results. Model validation was achieved through experimentation. The lack of a sizing method to combine both hybrid system total cost and long-term reliability level was the result of an extended literature survey. The new achievements which are described in this research work refer to: - simplified modelling for the performance of amorphous-silicon photovoltaic panels for all solar irradiance levels. -development of a new current-voltage expression with respect to wind speed for wind turbine performance simulation. -establishment of the battery storage state of voltage, SOV, simulation algorithm for long-term dynamic operational conditions. The proposed methodology takes into account 8 distinct cases covering steady state and transient effects and can be used for autonomous system reliability calculations. -techno-economic evaluation of the size of the hybrid system components by considering both reliability and economic criteria as design parameters. Two sizing scenarios for the renewable components are examined : the average year method and the ``worst renewable`` month  More>>
Publication Date:
Dec 31, 1992
Product Type:
Miscellaneous
Reference Number:
SCA: 140600; 170601; PA: GB-97:052935; EDB-98:008015; SN: 98001893150
Resource Relation:
Other Information: TH: Thesis (Ph.D.); PBD: 1992
Subject:
14 SOLAR ENERGY; 17 WIND ENERGY; WIND POWER PLANTS; PHOTOVOLTAIC POWER PLANTS; HYBRID SYSTEMS; ELECTRIC BATTERIES; PERFORMANCE; MATHEMATICAL MODELS
OSTI ID:
557283
Research Organizations:
University of Wales, Cardiff (United Kingdom)
Country of Origin:
United Kingdom
Language:
English
Other Identifying Numbers:
TRN: GB9752935
Availability:
Available from British Library Document Supply Centre, Boston Spa, Wetherby, West Yorks. LS23 7BQ. No.DX193719
Submitting Site:
GB
Size:
353 p.
Announcement Date:

Miscellaneous:

Citation Formats

Protogeropoulos, C I. Autonomous wind/solar power systems with battery storage. United Kingdom: N. p., 1992. Web.
Protogeropoulos, C I. Autonomous wind/solar power systems with battery storage. United Kingdom.
Protogeropoulos, C I. 1992. "Autonomous wind/solar power systems with battery storage." United Kingdom.
@misc{etde_557283,
title = {Autonomous wind/solar power systems with battery storage}
author = {Protogeropoulos, C I}
abstractNote = {The performance of an autonomous hybrid renewable energy system consisting of combined photovoltaic/wind power generation with battery storage is under evaluation in this thesis. Detailed mathematical analysis of the renewable components and the battery was necessary in order to establish the theoretical background for accurate simulation results. Model validation was achieved through experimentation. The lack of a sizing method to combine both hybrid system total cost and long-term reliability level was the result of an extended literature survey. The new achievements which are described in this research work refer to: - simplified modelling for the performance of amorphous-silicon photovoltaic panels for all solar irradiance levels. -development of a new current-voltage expression with respect to wind speed for wind turbine performance simulation. -establishment of the battery storage state of voltage, SOV, simulation algorithm for long-term dynamic operational conditions. The proposed methodology takes into account 8 distinct cases covering steady state and transient effects and can be used for autonomous system reliability calculations. -techno-economic evaluation of the size of the hybrid system components by considering both reliability and economic criteria as design parameters. Two sizing scenarios for the renewable components are examined : the average year method and the ``worst renewable`` month method. (Author)}
place = {United Kingdom}
year = {1992}
month = {Dec}
}