Monitoring of renewable energy systems by IoT‐aided SCADA system

Qays, Md Ohirul; Musse, Mohamud Ahmed; Mahmud, Arafat; Abu-Siada, A.; Muyeen, S. M.; Hossain, Md. Liton; Yasmin, Farhana; Rahman, Md. Momtazur

doi:10.1002/ese3.1130

Cited by 35 publications

(8 citation statements)

References 47 publications

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“…For example, Tran Thanh Son and coauthors showed a simple IoT-SCADA that relies for its operation on wireless power sensors using a set of small rooftop photovoltaic arrays in Vietnam as test site [21]. In [22], Quays and coauthors presented an IoT-SCADA for a mixed-generation small system composed of photovoltaic, wind, and batteries, where wireless sensors are used for real-time monitoring of current and voltage. Again, Aghenta and Iqbal in [23] examined in detail the basic structural elements of a generic IoT-SCADA in terms of usable IoT protocols, proposing and testing possible photovoltaic system hardware configurations designed for small PV applications.…”

Section: Literature Reviewmentioning

confidence: 99%

A Study on an IoT-Based SCADA System for Photovoltaic Utility Plants

Ferlito,

Ippolito,

Santagata

et al. 2024

Electronics

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Large-scale photovoltaic (PV) electricity production plants rely on reliable operation and maintenance (O&M) systems, often operated by means of supervisory control and data acquisition (SCADA) platforms aimed at limiting, as much as possible, the intrinsic volatility of this energy resource. The current trend is to develop SCADAs that achieve the finest possible control of the system components to efficiently and effectively cope with possible energy delivery problems. In this study, we investigated an innovative design of an IoT-based SCADA specifically tailored for large PV systems in which data transmission overheads are reduced by adopting lightweight protocols, and reliable data storage is achieved by means of hybrid solutions that allow the storage of historical data, enabling accurate performance analysis and predictive maintenance protocols. The proposed solution relies on an architecture where independent functional microservices handle specific tasks, ensuring scalability and fault tolerance. The technical approaches for IoT-SCADA connectivity are herein described in detail, comparing different possible technical choices. The proposed IoT-based SCADA is based on edge computing for latency reduction and to enhance real-time decision making, enabling scalability, and centralized management while leveraging cloud services. The resulting hybrid solutions that combine edge and cloud resources offer a balance between responsiveness and scalability. Finally, in the study, a blockchain solution was taken into account to certify energy data, ensuring traceability, security, and reliability in commercial transactions.

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Section: Literature Reviewmentioning

confidence: 99%

A Study on an IoT-Based SCADA System for Photovoltaic Utility Plants

Ferlito,

Ippolito,

Santagata

et al. 2024

Electronics

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“…The operator can see the live data and take the required action. A SCADA system was implemented to monitor the electrical parameters (power, voltage, current) of a hybrid system comprising wind, PV, and energy storage systems [4]. The real-time data is monitored using the ThingsSpeak platform.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a Low-Cost, Open-Source LoRA-based SCADA System for Remote Monitoring of a Hybrid Power System for an Offshore Aquaculture Site in Newfoundland

Asgher,

Iqbal

2023

EJECE

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In this article a low-cost and open-source Internet of Things (IoT) based Supervisory, Control and Data Acquisition (SCADA) system for remote monitoring of the hybrid power system for an offshore aquaculture site is presented. The selected site is situated 2 km away from the coastline where there is no electrical utility infrastructure and limited communication options are available. The hardware of the designed system primarily consists of six field sensors, Arduino Leonardo as Remote Terminal Unit (RTU), LoRA (Long Range) gateway, cables, AC/DC current and voltage supplies. Arduino IDE, AWS, Influx DB, and Grafana provide the software support. The field sensors are responsible for measuring the solar, battery, inverter & generator currents, along with battery voltage and temperature. All of the field sensors except the temperature sensor send the data to RTU which further delivers it to The Things Network (TTN) cloud. With the help of influx DB, AWS cloud computing services, and Grafana, the data can be stored and visualized through interactive yet informative graphs. The graphs display the historical and live data of each sensor. Further, it also gives the option to set alarms and alerts on user-defined conditions to improve control over the hybrid power system. The complete hardware is assembled and tested in Memorial University’s Power lab. The developed system was supplied with variable current/voltage supplies and the data was logged for three continuous hours. However, the data can be stored for a much longer duration as per user’s requirement. The hardware and the results presented here are a testament that the proposed design system is capable of providing a remote monitoring solution for the offshore aquaculture site.

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“…However, a bigger number of remote units increase the cost of a communication unit inside the infrastructure medium. To reduce the number of remote units, operations are carried out using allocation of renewable energy sources in the path between two SCADA networks [20], and as a result, the IoT-based operation is flexible by reducing the cost of installations. On the other hand, the IoT operation is carried out using low security open source tool, and this type of SCADA operation requires modernization of the entire network.…”

Section: Literature Surveymentioning

confidence: 99%

Integrating Industrial Appliances for Security Enhancement in Data Point Using SCADA Networks with Learning Algorithm

Khadidos

Manoharan³

et al. 2022

International Transactions on Electrical Energy Systems

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e process of ensuring automatic operation for industrial appliances using both supervision and control techniques is a challenging task.erefore, this article focuses on implementing Supervisory Control and Data Acquisition (SCADA) for controlling all industrial appliances. e design process of implementation case is performed using an analytical framework by examining the primary energy sources at the initial state; thus, a smart network is supported. e designed mathematical model is integrated with a learning technique that allocates resources at proper quantities. Further, the complex manual tuning of individual appliances is avoided in the projected method as the input variables are driven in a direct way at reduced loss state. In addition, the data processing state of individual appliances is carried out using central data controller where all parametric values are stored. In case any errors are observed, then SCADA network fixes the error in an automated way, reducing end-to-end delays in all appliances. To validate the effectiveness of the proposed method, five scenarios are examined and simulated where outcomes prove that SCADA network using learning models provides optimal results on an average of 84 percent as compared to the existing models without learning algorithm.

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Monitoring of renewable energy systems by IoT‐aided SCADA system

Cited by 35 publications

References 47 publications

A Study on an IoT-Based SCADA System for Photovoltaic Utility Plants

A Study on an IoT-Based SCADA System for Photovoltaic Utility Plants

Development of a Low-Cost, Open-Source LoRA-based SCADA System for Remote Monitoring of a Hybrid Power System for an Offshore Aquaculture Site in Newfoundland

Integrating Industrial Appliances for Security Enhancement in Data Point Using SCADA Networks with Learning Algorithm

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