Title :
Method for evaluating battery size based on loss of load probability concept for a remote PV system
Author :
Singh, S. Sanajaoba ; Fernandez, Eugene
Author_Institution :
Electr. Eng. Dept., Indian Inst. of Technol. Roorkee, Roorkee, India
Abstract :
Solar photovoltaic power is one of the potential renewable energy generation technologies which have recently received considerable attention globally. However, the stochastic nature of these energy sources makes the power output difficult to predict and control exactly and hence energy storage device is expected to coordinate with such energy sources to maintain system reliability. This paper presents a realistic evaluation model of photovoltaic power and battery storage which can be used in Monte Carlo simulation. The highly intermittent nature of solar radiation, charge/discharge constraints of battery storage and operating coordination between energy storage and system are incorporated while modeling. The developed models are applied for calculating battery size of photovoltaic system based on reliability criteria such as Loss of load probability (LOLP) for a remote case study area. Finally, the system performance is assessed by increasing the peak demand of the study area.
Keywords :
Monte Carlo methods; photovoltaic power systems; secondary cells; LOLP; Monte Carlo simulation; battery size evaluation; battery storage; charge/discharge constraints; energy storage; loss of load probability concept; photovoltaic power; remote PV system; solar photovoltaic power; solar radiation; Batteries; Load modeling; Monte Carlo methods; Photovoltaic systems; Reliability; Solar radiation; Monte Carlo simulation; battery storage; loss of load probability; solar photovoltaic;
Conference_Titel :
Power India International Conference (PIICON), 2014 6th IEEE
Print_ISBN :
978-1-4799-6041-5
DOI :
10.1109/34084POWERI.2014.7117729