Development of Regression Models For Appropriate Battery Banking Determination In Solar Power System
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2018, Vol 13, Issue 1
Abstract
Photovoltaic power system converts solar irradiance directly into electricity. It can be used as electrical power source for home to meet daily energy requirement. Individuals and small scale firms rarely invest in this power system due to their inability to determine the actual battery banking specification and cost. Acquiring photovoltaic power system, involves selecting, developing, and determining specifications of different components used in the system that comform to the desired load. Accomplishment of this specifications depend on a variety of factors such as geographical location, weather condition, solar irradiance, and load consumption. This work outlines in detail the procedure for specifying each component of the battery banking for photovoltaic power system, that is, using formula to ascertain the capacity of the components needed and designing a regression model capable of determinning the specifications of the components in order to achieve the desired output from the system. The work verifies and validates the fact that regression models can be used in determining the capacity of components used in actual application of a Photovoltaic solar power system. The minimum correlation coefficient is 0.995 which shows that the relationship between the theoretical and pridicted model is highly dependable.
Authors and Affiliations
Ejiko S. O, Olaniyi D
Keywords
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- EP ID EP388665
- DOI 10.9790/1676-1301033037.
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