Design and Application of Regional Multi-energy Complementary Distributed Energy Management and Control Platform Based on Big Data

Ding, Baodi; Cao, Kai; Meng, Chen; Zhang, Ying; Zhuandi, Hu; Qu, Xin-Ping

doi:10.1109/icpsasia48933.2020.9208563

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…In order to manage such an heterogeneous and heavy data payload, an industrial device/router, often called Smart Logger, must be installed in the PV plant in order to collect data from sources 1 to 3 (wireless sensor data, local weather data, and other connected devices data) and send them to the cloud IoT-SCADA through a 4G mobile network to be fused with web data and blockchain-processed [43][44][45]. In this respect, the best possible solution seems, at present, to be an industrial device/router equipped with Ru-tOS, a Linux-based operating system, targeting embedded devices.…”

Section: Network Communication Protocolsmentioning

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: Network Communication Protocolsmentioning

confidence: 99%

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

Ferlito,

Ippolito,

Santagata

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…This personnel will also help to solve the problems that may arise in the projects in a timely and correct manner [38]. This issue should be considered in the personnel recruitment process [39]. Additionally, development training should be provided to the personnel working within the companies.…”

Section: Literature On Distributed Energy Investmentsmentioning

confidence: 99%

Balanced-Scorecard-Based Evaluation of Knowledge-Oriented Competencies of Distributed Energy Investments

et al. 2022

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Since the global warming problem threatens the whole world, it is understood that countries should develop energy policies that will increase their sustainable and clean energy investments. Compared to other alternatives, the high cost of renewable energy projects is an essential obstacle in this process. Therefore, priority should be given to developing distributed energy projects to minimize this problem. The scope of the present paper is to identify the most critical items that affect the performance of distributed energy projects to have knowledge-oriented competencies. In this way, companies can focus on more critical items to provide efficiency for distributed energy projects. As a result, clean energy usage is improved, and the global warming problem is handled more successfully. A novel decision-making model is generated to examine the competencies of the knowledge economy based on collaborative filtering and bipolar q-rung orthopair fuzzy sets (q-ROFSs) with the golden ratio. The analysis concludes that learning and growth are the most critical balanced scorecard perspectives. Moreover, it was also determined that information and communication technology is the most critical competency of the knowledge economy. Therefore, it would be appropriate for investors who plan to invest in distributed energy projects to form a research and development team. Hence, new technologies will be followed instantly. In this way, companies will be able to gain a cost advantage. In this context, improving distributed energy projects is important to increase efficiency in clean energy investments.

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Design and Application of Regional Multi-energy Complementary Distributed Energy Management and Control Platform Based on Big Data

Cited by 2 publications

References 2 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

Balanced-Scorecard-Based Evaluation of Knowledge-Oriented Competencies of Distributed Energy Investments

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