IoT Based Power Management and Condition Monitoring in Microgrid

N. Sivankumar, V. Agnes Idhaya Selvi, M. Karuppasamypandiyan and A. Sheela
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N. Sivankumar: Kalasalingam University, Department of Electrical and Electronics Engineering
V. Agnes Idhaya Selvi: Kalasalingam University, Department of Electrical and Electronics Engineering
M. Karuppasamypandiyan: Kalasalingam University, Department of Electrical and Electronics Engineering
A. Sheela: Kongu Engineering College, Department of Electrical and Electronics Engineering

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 45-59 from Springer

Abstract: Abstract India has huge potential to generate power from renewable sources, but still most of the regions are denied to use renewable sources due to its poor reliability. This problem can be resolved by micro grid, integrating several renewable sources, as a main source for that particular region. A smart condition monitoring system and power management is essential to maintain the system reliability. Condition monitoring is the process that collects the various electrical parameters and analyse the performance of the system or its components such that remedial action may be planned in a smart manner. In this planned work, an Internet of Things (IoT) based condition monitoring system is developed for standalone micro grid. This standalone micro grid consists of solar, hybrid generator and battery. In this work, an IoT based Web Architecture will be developed with intelligent controller to take optimal decisions for efficient power management of micro grid. A dedicated web page and android application for remotely accessing the data will be developed for continuous access of production and usage of power, condition of loads, availability of battery power, voltage and load power factor. The status of the system can be monitored online through this smart network. The fuzzy logic controller will be developed to perform the control action on micro grid. The single fuzzy based controller will perform both load and source power management to improve the reliability. This controller facilitates the management of distribution of loads by properly scheduling loads and source management by optimally utilizing the sources. The control actions are based on the total power both from generating units and battery storage, the load requirement and the battery status. The designed controller will facilitate as a communication channel between the sources and load to avoid the deep discharging of battery at heavy load condition and prevents the overcharging of battery at light load condition. The proposed system will work efficiently for accessing the data without any specific control room with computers.

Keywords: Solar panel; Battery; DC generator; Fuzzy control; Buck-boost convertor; Intel Galileo board (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_5

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DOI: 10.1007/978-3-030-41862-5_5

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