MW Resource Assessment Model for a Hybrid Energy Conversion System With Wind and Solar Resources

Hybrid wind/photovoltaic energy system developments: Critical review and findings

“…The result of the case study presented shows a good agreement between the results of the method and the time step simulations. A megawatt assessment model was developed using a stochastic approach by Subhadarshi and Venkataramana [133]. This model can be used to observe the effect of varying wind speeds, ratings of the generator, efficiencies of various components in the system and the ratio of rating of the system to the maximum load on the system.…”

Decentralized Autonomous Hybrid Renewable Power Generation

“…Sarkar and Ajjarapu studied a stochastic planning approach for assessing MW resource of three wind and PV hybrid models by fixing varying penetration ratio level at 10%, 20%, and 30%. Method found applicability for different parameters such as cut-in speed, rated speed, furling speed, power rating of wind turbines, efficiencies of heat exchanger, steam turbine and electric generator, and maximum load [126]. Sun et al studied a joint schedule problem to schedule PV power, wind power, combined cooling, heating, power generation, high temperature chiller, liquid desiccant fresh air unit, battery, and power grid in order to satisfy electricity load, sensible heat load, and latent heat load in buildings with minimal expected cost.…”

On the management of wind power intermittency

“…The output power of a hybrid ECS cannot be dispatched normally by system operators, since it depends on several external natural factors varying in a wide range. The main limitation faced by wind and solar energy generation are their intrinsic variability and also dependency on climate conditions [118]. One of the advantages obtained through employing hybrid ECS would be the reduction in output power fluctuations in addition to the increase in power generation, i.e.…”

“…energy storage and reserve necessities can be appreciably diminished [119]. A systematic stochastic programming framework is proposed in [118] to integrate wind and solar energy sources in which stochastic variables are wind and solar power outputs . In order to model the uncertainties, Weibull and Beta distribution functions are used to model the wind speed and solar irradiation wherein required parameters to define stochastic models are calculated from site-specific data utilizing maximum likelihood estimation approach.…”