Comparison between ideal and estimated pv parameters using evolutionary algorithms to save the economic costs

Rahmani, Javad and Sadeghian, Ehsan and Dolatiary, Soheil (2018): Comparison between ideal and estimated pv parameters using evolutionary algorithms to save the economic costs. Published in: International Research Journal of Engineering and Technology (IRJET) , Vol. 05, No. 10 (October 2018): pp. 208-2016.

Abstract

Micro grids are now emerging from lab modules sites into commercial markets, driven by technological improvements, falling costs, a proven track record, and growing recognition of their benefits. Their main contribution is to improve reliability and resilience of electrical grids, to manage the addition of distributed clean energy resources like wind and solar photovoltaic (PV) generation to reduce fossil fuel emissions, and to provide electricity in areas not served by centralized electrical infrastructure. In between, the popularity of photovoltaic panel is not deniable. In this paper, the ideal and practical electrical model of PV is being discussed. Due to significant role of the PV parameters, they are assessed by several heuristic methods and the results are compared. Hence an optimal method for parameter estimation is discussed that can be used in micro grid simulations to reach to an optimal quiescent working condition.

• Item Type: MPRA Paper
• Language: English
• Keywords: Micro grid, power system, PV panel, heuristic optimization
• Subjects: L - Industrial Organization > L6 - Industry Studies: Manufacturing > L63 - Microelectronics ; Computers ; Communications Equipment; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation > Q20 - General; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation > Q24 - Land; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q42 - Alternative Energy Sources; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q47 - Energy Forecasting

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