Adaptive Neuro-fuzzy Control of Solar-Powered Building Integrated with Daylight-Artificial Light System

T. M.Sanjeev Kumar, Surabhi Sharma, Ciji Pearl Kurian, S. Manu Varghese, Anna Merine George

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To meet the increase in energy consumption and to reduce global warming, power sources based on sustainable energy are in demand. of the different sustainable power sources, solar energy is the most viable option. Artificial intelligence (AI) centered control strategies are a part of sustainable power source frameworks. This paper shows the effectiveness of an adaptive neuro-fuzzy inference system for maximum power point tracking (MPPT) of a photovoltaic system. A boost converter with adaptive neuro fuzzy-based incremental conductance MPPT algorithm and a lithium-ion battery-based bi-directional DC-DC converter controlled with a voltage-current controller for power balancing and DC bus voltage regulation is discussed. A Simulink model developed by taking the climate data as the standard input for solar photovoltaic (PV) module and daylight-artificial integrated scheme. The work involves system design towards the load side for building and designing of the PV system to achieve maximum power and efficiency for a fixed tilt using PVSYST. The performance of Fuzzy Logic Control based incremental conductance MPPT technique is compared with the adaptive neuro-fuzzy inference based control. Using the model energy availability and energy consumed is estimated. The models are validated using actual pyranometer readings.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728142517
DOIs
Publication statusPublished - 01-2020
Event2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020 - Cochin, India
Duration: 02-01-202004-01-2020

Publication series

Name2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020

Conference

Conference2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
CountryIndia
CityCochin
Period02-01-2004-01-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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    Kumar, T. M. S., Sharma, S., Kurian, C. P., Varghese, S. M., & George, A. M. (2020). Adaptive Neuro-fuzzy Control of Solar-Powered Building Integrated with Daylight-Artificial Light System. In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020 [9070406] (2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PESGRE45664.2020.9070406