Development of integrated hardware set up for solar photovoltaic system monitoring

Mujumdar, Uday B.; Tutkane, D.R.

doi:10.1109/indcon.2013.6725944

Cited by 10 publications

(1 citation statement)

References 6 publications

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“…A common approach presented in PV literature is the data storage into log files locally on a dedicated PC [4]- [7]. This method despite its simplicity requires a big manual effort from the user and a lot of processing power (loading all data before filtering etc.…”

Section: Introductionmentioning

confidence: 99%

Scalable data storage for PV monitoring systems

Kladas¹,

Herteleer²,

Cappelle³

2022

Preprint

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Efficient PV research which includes a prolonged data monitoring from multiple experiments with different characteristics, requires a scalable supporting system to handle all of the collected information. This paper presents the development of a relational database for hosting all the necessary information for data modeling, comparative analysis and O&M systems. Ramer-Douglas-Peucker algorithm and Timescaledb compression are used to decrease the size of the time-series data and increase the performance of the queries. A decision-making algorithm is presented for selecting the optimal inputs to the Ramer-Douglas-Peucker algorithm to ensure the maximum disk space savings while not losing any of the necessary information. Furthermore, alternative ways of implementing the same database are provided.

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Section: Introductionmentioning

confidence: 99%

Scalable data storage for PV monitoring systems

Kladas¹,

Herteleer²,

Cappelle³

2022

Preprint

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On-line Visualization and Long-Term Monitoring of a Single-Phase Photovoltaic Generator Using SCADA

López-Santos

Arango-Buitrago

González-Morales

2016

Communications in Computer and Information Science

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Design and experimental characterization of a low-cost, real-time, wireless AC monitoring system based on ATmega 328P-PU microcontroller

Caruso

Tommaso

Miceli

et al. 2015

2015 AEIT International Annual Conference (AEIT)

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This paper describes the development and experimental characterization of a real-time, low-cost, wireless AC monitoring system based on ATmega 328P-PU microcontroller. The proposed system is composed by a main brain for the acquisition and the processing of the data measured by smart meters. From the experimental tests discussed in this work it is demonstrated that the proposed system can monitor, with adequate accuracy, the working cycles of electrical loads in order to evaluate its energy consumption

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Development of integrated hardware set up for solar photovoltaic system monitoring

Cited by 10 publications

References 6 publications

Scalable data storage for PV monitoring systems

Scalable data storage for PV monitoring systems

On-line Visualization and Long-Term Monitoring of a Single-Phase Photovoltaic Generator Using SCADA

Design and experimental characterization of a low-cost, real-time, wireless AC monitoring system based on ATmega 328P-PU microcontroller

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