Staff Members - Benha University
H.A.AbdelHadi, M.Ali, M.A.Ebrahim, H.M.Mahmoud, E.M.Saied,M.M.Salama, M.lehtonen ‘’ Optimal Battery Sizing for Hybrid Photovoltaic/ Wind Standalone System’’, under review and publication for 2017.
Under review and publication for 2017. • 2017
Publication Information
Authors
48. H.A.AbdelHadi, M.Ali, M.A.Ebrahim, H.M.Mahmoud, E.M.Saied,M.M.Salama, M.lehtonen
Keywords
.
Keywords: Renewable generation; Battery bank optimisation; Demand Response; Standalone
system.
Journal
Under review and publication for 2017.
Publisher
Not Available
Volume
Not Available
Issue
Not Available
Pages
Not Available
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
Abstract
For stand-alone applications, environment-friendly hybrid solar photovoltaic and wind renewable
energy resources seems to be promising solutions. However, owing to the intermittency and
unpredictability of renewable generation sources, battery banks are generally employed to meet
the demand at all time. This paper presents a demand response model to optimize the battery bank
size of standalone system. The objective of this framework is to optimize the battery storage for
balancing the load demand and fluctuating renewable generation. Case studies are conducted on
standalone system of a remote un-electrified household in Finland covering four seasons. The
simulation results suggested that activation of demand response will optimize the battery bank
capacity.
For stand-alone applications, environment-friendly hybrid solar photovoltaic and wind renewable
energy resources seems to be promising solutions. However, owing to the intermittency and
unpredictability of renewable generation sources, battery banks are generally employed to meet
the demand at all time. This paper presents a demand response model to optimize the battery bank
size of standalone system. The objective of this framework is to optimize the battery storage for
balancing the load demand and fluctuating renewable generation. Case studies are conducted on
standalone system of a remote un-electrified household in Finland covering four seasons. The
simulation results suggested that activation of demand response will optimize the battery bank
capacity.