Shading prediction, fault detection, and consensus estimation for solar array control

Sameeksha Katoch, Gowtham Muniraju, Sunil Rao, Andreas Spanias, Pavan Turaga, Cihan Tepedelenlioglu, Mahesh Banavar, Devarajan Srinivasan

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

10 Scopus citations

Abstract

This paper describes three methods used in the development of a utility-scale solar cyber-physical system. The study describes remote fault detection using machine learning approaches, power output optimization using cloud movement prediction and consensus-based solar array parameter estimation. Dynamic cloud movement, shading and soiling, lead to fluctuations in power output and loss of efficiency. For optimization of output power, a cloud movement prediction algorithm is proposed. Integrated fault detection methods are also described to predict and by pass failing modules. Finally, the fully connected solar array, which is fitted with multiple sensors, is operated as an Internet of things network. Integrated with each module are sensors and radio electronics communicating all data to a fusion center. Gathering data at the fusion center to compute and transmit analytics requires secure low power communication solutions. To optimize the resources and power consumption, we describe a method to integrate fully distributed algorithms designed for a wireless sensor network in this CPS system.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages217-222
Number of pages6
ISBN (Electronic)9781538665312
DOIs
StatePublished - Jun 15 2018
Event1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018 - Saint Petersburg, Russian Federation
Duration: May 15 2018May 18 2018

Other

Other1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018
CountryRussian Federation
CitySaint Petersburg
Period5/15/185/18/18

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Keywords

  • Distributed average consensus
  • Fault detection
  • IoT Energy
  • PV
  • Shading
  • Solar power analytics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Control and Optimization
  • Industrial and Manufacturing Engineering

Cite this

Katoch, S., Muniraju, G., Rao, S., Spanias, A., Turaga, P., Tepedelenlioglu, C., Banavar, M., & Srinivasan, D. (2018). Shading prediction, fault detection, and consensus estimation for solar array control. In Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018 (pp. 217-222). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPHYS.2018.8387662