2013 IEEE International Conference on Industrial Technology (ICIT) 2013
DOI: 10.1109/icit.2013.6505784
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Multi-objective design of PV-wind-batteries hybrid systems by minimizing the annualized cost system and the loss of power supply probability (LPSP)

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Cited by 43 publications
(24 citation statements)
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“…In such situations optimization tools and techniques have been employed by designers extensively [39][40][41][42][43][44]. Optimization may also be applied to decide upon the best possible solution for the sizing and siting strategies for DGs.…”
Section: Applications Of Optimizationmentioning
confidence: 99%
“…In such situations optimization tools and techniques have been employed by designers extensively [39][40][41][42][43][44]. Optimization may also be applied to decide upon the best possible solution for the sizing and siting strategies for DGs.…”
Section: Applications Of Optimizationmentioning
confidence: 99%
“…The hourly data of the solar irradiance and temperature can be used to find the hourly output power from each panel once efficiency of the solar panel and the power converter used are taken into account [12]. Since temperature affects the output of the photovoltaic panel, temperature of Yanbu City for the four consecutive years was measured.…”
Section: Wind and Solar Energy Capacity At Yanbu Citymentioning
confidence: 99%
“…In this equation, ܸ is the wind speed at turbine height (H), ܸ is the wind speed recorded by metrological station at height ‫ܪ(‬ ), and is the surface roughness factor which is around 1/7 in an open space surface [12].…”
Section: Wind Turbine Modelmentioning
confidence: 99%
“…The obtained results show that cost of optimal configuration strongly depends on LPSP. For example, cost of optimal configuration decreases by 25% when LPSP grows to 1% from 0% [116].…”
Section: Financial Approachesmentioning
confidence: 99%
“…This can be assured by using optimization techniques in hybrid generation system [105]. Optimization techniques include optimization scenario based on different meteorological data [106], graphic construction method [107], probabilistic approach [108], iterative technique [109], AI methods [110,111], genetic algorithm [112], system control for energy flow and management [113][114][115], and multiobjective design [116][117][118] to obtain optimum size of generation unit to guarantee lowest investment with full use of system component. In order to obtain reliable optimum system configurations quickly and accurately, feasible optimization technique should be incorporated [119].…”
Section: Barriers and Market Challengesmentioning
confidence: 99%