Hybrid solar/wind power system probabilistic modelling for long-term performance assessment

Tina, Giuseppe Marco; Gagliano, Salvina; Raiti, S.

doi:10.1016/j.solener.2005.03.013

Cited by 361 publications

(136 citation statements)

References 9 publications

Supporting

Mentioning

132

Contrasting

Unclassified

Order By: Relevance

“…Equivalent Loss Factor is ratio of effective load outage hours to the total number of hours. In the rural areas and stand-alone applications (as this study), ELF<0.01 is acceptable [Tina, 2006]. For solving the optimization problem, particle swarm algorithm has been exploited.…”

Section: The Cost Of Loss Of Loadmentioning

confidence: 98%

Optimum Design of a Hybrid Renewable Energy System

Jahanbani¹,

Riahy²

2011

Renewable Energy - Trends and Applications

View full text Add to dashboard Cite

Section: The Cost Of Loss Of Loadmentioning

confidence: 98%

Optimum Design of a Hybrid Renewable Energy System

Jahanbani¹,

Riahy²

2011

Renewable Energy - Trends and Applications

View full text Add to dashboard Cite

“…In the relevant literature [28], the normalized Beta distribution was suggested as an adequate PDF to characterize the solar irradiance random variable. When the PV generation system is equipped with a maximum power point tracker (MPPT), the output active power of the PV system at hour, P PV t , is a linear function of the total irradiance I β t (in kW/m 2 ) at hour t on a surface with an inclination β to the horizontal plane [28,29]:…”

Section: The Bayesian Forecasting Methodsmentioning

confidence: 99%

A New Ensemble Probabilistic Method for Short-Term Photovoltaic Power Forecasting

Bracale¹,

Carpinelli²,

Falco³

2016

Sustainable Energy - Technological Issues, Applications and Case Studies

View full text Add to dashboard Cite

The high penetration of photovoltaic (PV) systems led to their growing impact on the planning and operation of actual distribution systems. However, the uncertainties due to the intermittent nature of solar energy complicate these tasks. Therefore, high-quality methods for forecasting the PV power are now essential, and many tools have been developed in order to provide useful and consistent forecasts. This chapter deals with probabilistic forecasting methods of PV system power, since they have recently drawn the attention of researchers as appropriate tools to cope with the unavoidable uncertainties of solar source. A new multi-model probabilistic ensemble is proposed; it properly combines a Bayesian-based and a quantile regression-based probabilistic method as individual predictors. Numerical applications based on actual irradiance data give evidence of the probabilistic performances of the proposed method in terms of both sharpness and calibration.

show abstract

“…Shakya et al [18] studied the feasibility of standalone hybrid wind-pv system incorporating compressed hydrogen gas storage in Australia. Tina et al [19] assessed the long-term performance of a hybrid solar-wind power system for both standalone and grid connected applications.…”

Section: Introductionmentioning

confidence: 99%

Feasibility study of a wind–pv–diesel hybrid power system for a village

et al. 2012

View full text Add to dashboard Cite

A wind-pv-diesel hybrid power system has been designed fro a village in Saudi Arabia which is presently powered by a diesel power plant consisting of eight diesel generating sets of 1,120kW each. The study found a wind-pv-diesel hybrid power system with 35% renewable energy penetration (26% wind and 9% solar PV) to be the feasible system with cost of energy of 0.212US$/kWh. The proposed system was comprised of 3 wind turbines each of 600kW, 1000kW of PV panels, and four diesel generating sets each of 1120kW rated power. The system was able to meet the energy requirements (AC primary load of 17,043.4MWh/y) of the village with 4.1% energy in excess. The annual contributions of wind, solar pv and the diesel generating sets were 4,713.7, 1,653.5, and 11,542.6MWh, respectively. The proposed hybrid power system resulted in avoiding addition of 4,976.8 tons of GHG equivalent of CO 2 gas in to the local atmosphere of the village and conservation of 10,824 barrels of fossil fuel annually.

show abstract

Hybrid solar/wind power system probabilistic modelling for long-term performance assessment

Cited by 361 publications

References 9 publications

Optimum Design of a Hybrid Renewable Energy System

Optimum Design of a Hybrid Renewable Energy System

A New Ensemble Probabilistic Method for Short-Term Photovoltaic Power Forecasting

Feasibility study of a wind–pv–diesel hybrid power system for a village

Contact Info

Product

Resources

About