Optimal sizing method for grid connected renewable energy system under Algerian climate
Renewable Energy Congress（2015）
Abstract
This paper presents a novel approach for optimal sizing of grid connected hybrid renewable energy systems including photovoltaic generator, wind turbine and without storage devices. A novel grid power absorption probability (GPAP) parameter is introduced as a decision variable in the optimization procedure. The sizing optimization consists on the identification of a cost effective feasible configuration with a permissible level of grid power purchase. The proposed approach has been tested on a case study of a residential load in Ghardaia city (northern-central Algeria). The optimized system offers a 65% renewable electricity fraction with a 0.47 grid power absorption probability and a total cost of 5788$.
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Key words
hybrid power systems,load management,optimisation,photovoltaic power systems,power grids,probability,renewable energy sources,wind turbines,algerian climate,gpap parameter,ghardaia city,cost identification,decision variable,grid connected hybrid renewable energy systems,grid power absorption probability,grid power absorption probability parameter,grid power purchase,northern-central algeria,optimal sizing method,optimization procedure,permissible level,photovoltaic generator,renewable electricity fraction,residential load,wind turbine,gpap,grid connected,hybrid system,optimal sizing,residential
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