Title :
An approach to evaluate the general performance of stand-alone wind/photovoltaic generating systems
Author :
Nehrir, M.H. ; LaMeres, B.J. ; Venkataramanan, G. ; Gerez, V. ; Alvarado, L.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Montana State Univ., Bozeman, MT, USA
Abstract :
Summary form only given as follows. This paper reports the development of a computer approach for evaluating the general performance of stand-alone wind/photovoltaic generating system. Simple models for different system components are developed, integrated and used to predict the behavior of generating systems based on available wind/solar and load data. The model is useful for evaluating the performance of stand-alone generating system and gaining a better insight in the component sizes needed before they are built. Simulation results are presented for performance evaluation of a stand-alone generating system that has been previously designed to supply the average power demand of a typical residential house. An electric water heater model is used as a dump load, and the excess available wind/solar-generated power is used to heat the water. The heated water is used as the inlet water to the main house water heater, which is assumed to be nonelectric. It is shown that this strategy can be effective in reducing the amount of fuel used by the main residential water heater
Keywords :
electric heating; photovoltaic power systems; power engineering computing; wind turbines; average power demand; component sizes; electric water heater model; generating systems behaviour prediction; inlet water; load dumping; main house water heater; performance evaluation; residential house; stand-alone wind/photovoltaic generating systems; Photovoltaic systems; Power generation; Power supplies; Power system modeling; Predictive models; Solar heating; Solar power generation; Water heating; Wind energy generation; Wind forecasting;
Conference_Titel :
Power Engineering Society Summer Meeting, 2000. IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-6420-1
DOI :
10.1109/PESS.2000.866946