Abstract
Internet of Things (IoT) is one of the emerging trends and has great potential to bring advances in electrical engineering and renewable energy. It is estimated that by 2020, IoT will be a $20 trillion industry. Hence, this paper proposes the method of incorporating IoT in solar energy and photovoltaic research at the laboratory level. The proposed method includes IoT’s divine application in (a) MPPT tracking; (b) partial shading; (c) security switch for turning ON Arduino’s serial monitor; and finally, (d) building up the direct communication between professor (sitting in the cabin) and the research scholar performing experiment (in the laboratory which is at some particular distance from the professor’s cabin). The whole setup is based on the newly developed Indian microcontroller-BOLT (An Internet of Things platform) launched on 21 February 2016.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Prasad, S.S., Kumar, C.: A green and reliable internet of things. Commun. Netw. 5(01), 44–48 (2013)
Nandyala, C.S., Kim, H.K.: Green IoT agriculture and healthcare application (GAHA). Int. J. Smart Home 10(4), 289–300 (2016)
Yao, L., Lai, C.C., Lim, W.H.: Home energy management system based on photovoltaic system. In: 2015 IEEE International Conference on Data Science and Data Intensive Systems, pp. 644–650 (2015)
Sudhakar, Babu T., Rajasekar, N., Sangeetha, K.: Modified particle swarm optimization technique based maximum power point tracking for uniform and under partial shading condition. Appl. Soft Comput. 34, 613–624 (2015)
Babu, T.S., Sangeetha, K., Rajasekar, N.: Voltage band based improved particle swarm optimization technique for maximum power point tracking in solar photovoltaic system. J. Renew. Sustain. Energy, 8(1) (2016)
Zhang, W., Zhang, Z.: High power solar street lamps controller design based on ZigBee. In: Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference on IEEE (2015)
Guannan, D., Zhang, X., Wei, S., Ji, Q., Wei, H., Du, G.: Based on the internet of things a self-cleaning solar power system of the household micro-grid. In: 2016 Chinese Control and Decision Conference (CCDC), IEEE (2016)
McFarlane, D., Sarma, S., Chirn, J.L., Wong, C., Ashton, K.: Auto ID systems and intelligent manufacturing control. Eng. Appl. Artif. Intell. 16(4), 365–376 (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Manghani, H., Prasanth Ram, J., Rajasekar, N. (2018). An Internet of Things to Maximum Power Point Tracking Approach of Solar PV Array. In: SenGupta, S., Zobaa, A., Sherpa, K., Bhoi, A. (eds) Advances in Smart Grid and Renewable Energy. Lecture Notes in Electrical Engineering, vol 435. Springer, Singapore. https://doi.org/10.1007/978-981-10-4286-7_39
Download citation
DOI: https://doi.org/10.1007/978-981-10-4286-7_39
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4285-0
Online ISBN: 978-981-10-4286-7
eBook Packages: EnergyEnergy (R0)