Abstract
Nowadays renewable energy sources have significant contribution in electrical engineering. The solar photovoltaic (PV) systems are in great demand as a non-conventional energy source. The performance of solar PV system is highly affected by temperature and irradiance in the surroundings. This may also leads to change the maximum available power of PV system. To achieve maximum power, this paper contributes a new control design strategy for MPPT of solar PV systems. The concept of fuzzy logic is being employed to design suitable control law. The performance of designed controller is tested with wide range of environmental parameters change. It is observed that the obtained results not only provide the fast dynamics but also high accuracy in power is achieved.
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Bisht, R., Kumar, N., Sikander, A. (2020). Fuzzy Logic Based Improved Control Design Strategy for MPPT of Solar PV Systems. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-15-4032-5_97
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DOI: https://doi.org/10.1007/978-981-15-4032-5_97
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