An IoT open source platform for photovoltaic plants supervision

Fernández, Pedro de Arquer; Fernández, Miguel Angel Fernández; Candás, Juan Luis Carús; Arboleya, Pablo

doi:10.1016/j.ijepes.2020.106540

Cited by 44 publications

(29 citation statements)

References 29 publications

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“…Although this is a great advance from the point of view of automatic control supervision, it should be noted that this method only allows the disconnection of the solar panels in pairs, causing a disadvantage when optimizing their production in case of solar panel faults. In [ 63 ], a method for monitoring with an open-source platform based on IoT is proposed with the advantages it has over SCADA systems using the Eclipse Kura and Eclipse Kapua software to transmit data in real-time or in batches, as well as hardware necessary for the gateway (Kura) and the server (Kapua), uses PC Moxa UC-2112 which transmits the data through any of the communication protocols such as TCP, OPC, Modbus TCP/IP, MQTT, OPC-UA. These protocols are also used in some research [ 64 , 65 , 66 ].…”

Section: Review Of Solar Panels Fault Diagnosis Methodsmentioning

confidence: 99%

Solar Panels String Predictive and Parametric Fault Diagnosis Using Low-Cost Sensors

García

Ponluisa

Quiles

et al. 2022

Sensors

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This work proposes a method for real-time supervision and predictive fault diagnosis applicable to solar panel strings in real-world installations. It is focused on the detection and parametric isolation of fault symptoms through the analysis of the Voc-Isc curves. The method performs early, systematic, online, automatic, permanent predictive supervision, and diagnosis of a high sampling frequency. It is based on the supervision of predictive electrical parameters easily accessible by the design of its architecture, whose detection and isolation precedes with an adequate margin of maneuver, to be able to alert and stop by means of automatic disconnection the degradation phenomenon and its cumulative effect causing the development of a future irrecoverable failure. Its architecture design is scalable and integrable in conventional photovoltaic installations. It emphasizes the use of low-cost technology such as the ESP8266 module, ASC712-5A, and FZ0430 sensors and relay modules. The method is based on data acquisition with the ESP8266 module, which is sent over the internet to the computer where a SCADA system (iFIX V6.5) is installed, using the Modbus TCP/IP and OPC communication protocols. Detection thresholds are initially obtained experimentally by applying inductive shading methods on specific solar panels.

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Section: Review Of Solar Panels Fault Diagnosis Methodsmentioning

confidence: 99%

Solar Panels String Predictive and Parametric Fault Diagnosis Using Low-Cost Sensors

García

Ponluisa

Quiles

et al. 2022

Sensors

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“…This equipment is connected to a Machine Configuration Tool (CRT) through the Message Queuing Telemetry Transport (MQTT) protocol [16]. This protocol is widely used for collecting monitoring data from sensors and devices, for example in smart meters [17] or photovoltaic plants [18].…”

Section: Methodsmentioning

confidence: 99%

Cetratus: Live Updates in Programmable Logic Controllers

Mugarza

2021

2021 IEEE International Workshop of Electronics, Control, Measurement, Signals and Their Application to Mechatronics (ECMSM)

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Manufacturing companies are facing new market demands, mostly driven by global competition and digitalization. In this context, more efficient, flexible, adaptable and evolvable mechatronic and manufacturing systems are required, which enable quick adjustments to the production in order to address (all these) market changes. However, production idle times due to such re-configurations and adaptations might be costly. In this paper, a live updates concept for Programmable Logic Controllers (PLCs) is presented. The proposed design employs a Petri net runtime engine, in which the executed functional program (the Petri net model with its interpretation) is updated while running, without system shutdown and restart being needed. To this end, a quarantine-mode execution and monitoring approach is used for the new PLC program functional validation. A reconfigurable Vernadat machine case study is also presented.

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“…An analysis of the photovoltaic market, in the context of changing legal aspects, has confirmed the increased demand for continuous monitoring systems for PV systems. There are IOT (Internet of Things)-based monitoring systems for photovoltaic installations, but they focus on a higher level of installation-inverter data collection and management (data from a whole array of PV panels, without the possibility to identify them) [17]. There are also solutions to collect data from each PV panel (such as microinverters), but these are not popular, mainly due to the price of such a system.…”

Section: Smartpv-pv Monitoring System At a Fair Pricementioning

confidence: 99%

In Situ Tests of the Monitoring and Diagnostic System for Individual Photovoltaic Panels

et al. 2021

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The dynamic development of photovoltaic systems in the world and in Poland is mainly related to the drop in prices of installation components. Currently, electricity from photovoltaics is one of the cheapest renewable energy sources. The basis for effective energy generation is, first of all, failure-free operation of the photovoltaic system over a long period of operation, up to 30 years. The paper presents the results of a study of a low-cost distributed system for monitoring and diagnosis of photovoltaic installations (SmartPV), capable of assessing the operating parameters of individual photovoltaic panels. The devices were tested by connecting them to an existing photovoltaic installation, allowing the measurement of operational parameters of individual photovoltaic panels as well as operating conditions such as illuminance and panel surface temperature. The data were recorded on a server using wireless Wi-Fi transmission. Interesting data were collected during the tests, confirming the usefulness of the suggested device for monitoring the photovoltaic installations. Differences in performance of the photovoltaic panel depending on solar radiation and surface temperature were recorded. The temperature coefficient of power was determined, allowing for increased accuracy in the prediction of generated power. The correct recording in different situation, i.e., shading, sensor damage or weather anomalies, was verified. Based on the collected data, rules will be defined for an expert application which, in combination with SmartPV devices, will ensure a quick response to any malfunctions of the photovoltaic system, both related to failures and those resulting from natural degradation during operation.

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An IoT open source platform for photovoltaic plants supervision

Cited by 44 publications

References 29 publications

Solar Panels String Predictive and Parametric Fault Diagnosis Using Low-Cost Sensors

Solar Panels String Predictive and Parametric Fault Diagnosis Using Low-Cost Sensors

Cetratus: Live Updates in Programmable Logic Controllers

In Situ Tests of the Monitoring and Diagnostic System for Individual Photovoltaic Panels

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