Probabilistic performance assessment of a roof top wind, solar photo voltaic hybrid energy system

The escalation in electrical energy costs associated with fossil and nuclear fuels, and enhanced public awareness of potential environmental impacts of conventional energy systems has created an increased interest in the development and utilization of alternate sources. Photo voltaic and wind energy sources are being increasingly recognized as cost effective generation sources in small isolated power systems. A realistic cost benefit analysis requires evaluation models that can recognize the highly erratic nature of these energy sources while maintaining the chronology and inter dependence of the random variables inherent in them. This paper reports the probabilistic performance assessment of a wind, solar photo voltaic (SPV) hybrid energy system. A 400 watt wind electric generator (WEG), 840 WP (peak watt power) solar photo voltaic power generator, 6/spl times/75 Amp-Hour (Ah) backup storage batteries, charge controller (CC), 1 KVA inverter (INV), etc were designed, integrated and optimized to predict the behavior of generating system based on available local wind / solar and load data at Vasavi College of Engineering, Hyderabad, India. Storage batteries can be designed for various hours of uninterrupted power supply in the event of wind & SPV energy failures. This model is useful for evaluating the probabilistic reliability evaluation of generating systems and gaining a better insight in the component sizes needed before they are built. The loss of supply and effects of the randomness of the wind and solar radiation's were presented. The wind solar photo voltaic hybrid energy system (WSPVHES) is working satisfactorily. The above system is reliable and economical for remote applications.