Abstract
This paper presents a new methodology for sizing an autonomous photovoltaic-wind hybrid energy system with battery storage, using simulation and optimization tools. The developed model is useful for energizing remote rural areas and produces a system with minimum cost and high reliability, based on the concept of Loss of Power Supply Probability (LPSP) applied for consecutive hours. Some scenarios are calculated and compared, using different numbers of consecutive hours and different LPSP values. As a result, a complete sizing of the system and a long-term cost evaluation are presented.
Highlights
IntroductionAs solar radiation and wind power, are vast, and unlike the fossil fuels, they are very well distributed all over the world
Renewable energy resources, as solar radiation and wind power, are vast, and unlike the fossil fuels, they are very well distributed all over the world
This paper presents a new methodology for sizing hybrid energy systems, using tools that guarantee a minimum cost and a desired reliability
Summary
As solar radiation and wind power, are vast, and unlike the fossil fuels, they are very well distributed all over the world. The main problem associated with them is their diluted nature and the consequent necessity of high cost equipment to convert them into usable forms. In spite of the energy resources being free, their extraction is not. Quality and type of necessary energy to supply the final consumer needs have an important role in the selection of the technology. Much work has been done to calculate the sizing of renewable energy systems. Optimization models of systems are proposed by Ramakumar et al (1986), Khella (1997) and Cormio et al (2003). Probabilistic calculations, involving the loss of power supply probability (LPSP) as a measure of reliability, are used by Ofry and Braunstein (1983), Klein and
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