Distributed energy resources monitoring and control based on IoT protocol

Choi, Moonok; Lee, Il-Woo

doi:10.1109/ictc.2017.8190871

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…WiFi) in DER communication [3]. With the development of IoT technology, device‐to‐device (D2D) communications have become much more intelligent [4], and DER devices can be monitored and controlled more effectively [5], resulting in lower latency and considerable scalability in various smart grid applications [6]. This motivated us to study the following problem: What would be a good transactive energy management strategy that promotes efficient utilization of DERs using IoT communications?…”

Section: Introductionmentioning

confidence: 99%

Consensus‐based decentralized energy trading for distributed energy resources

Wang

Zhang

Wang

2021

Energy Conversion and Econom

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In smart grids, distributed energy resources (DERs) have penetrated residential zones to provide a new form of electricity supply, mainly from renewable energy. Residential households and commercial buildings with DERs have become prosumers in local grids because they can sell surplus power to others. Research has been initiated to integrate and utilize DERs through better control and communication strategies. With the advances in the Internet of Things (IoT) technology, unprecedented coordination among DERs can be achieved to facilitate energy trading and transactive energy management. However, preventing leakage of user information during the optimization process remains a challenge for researchers, which drives them to develop privacy‐preserving energy management systems. In this study, a fully decentralized transactive energy management method using a consensus‐based algorithm is developed. Specifically, a virtual pool is designed for prosumers to trade energy and exchange information with the support of IoT technologies. The consensus‐based algorithm enables prosumers to obtain an optimal energy schedule independently in a coordinated manner without revealing any personal data. Practical data was used to perform simulations and validate the proposed algorithm. The results showed that the authors' consensus‐based decentralized transactive energy management strategy is feasible and can significantly reduce the overall system cost.

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Section: Introductionmentioning

confidence: 99%

Consensus‐based decentralized energy trading for distributed energy resources

Wang

Zhang

Wang

2021

Energy Conversion and Econom

View full text Add to dashboard Cite

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“…Due to the nature of low-rate data transmission between DERs, it has been shown that the Internet of Things (IoT) technologies (e.g., Narrowband IoT) can outperform other types of network connection (e.g., WiFi) in DER communication [3] . With the development of IoT technology, the device-to-device (D2D) communications become much more intelligent [4] , and DER devices can be monitored and controlled more effectively [5] . This gives rise to lower latency and more considerable scalability in various smart grid applications [6] .…”

Section: Introductionmentioning

confidence: 99%

Consensus-Based Decentralized Energy Trading for Distributed Energy Resources

Wang,

Zhang,

Wang

2021

Preprint

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In smart grids, distributed energy resources (DERs) have penetrated residential zones to provide a new form of electricity supply, mainly from renewable energy. Residential households and commercial buildings with DERs have become prosumers in the local grids, since they can sell surplus power to others. Researches have been initiated to integrate and utilize DERs through better control and communication strategies. With the advances in the Internet of Things (IoT) technology, unprecedented coordination among DERs can be achieved to facilitate energy trading and transactive energy management. However, preventing leakage of users' information during the optimization process keeps challenging researchers, which drives them to develop privacy-preserving energy management systems. In this paper, we develop a fully decentralized transactive energy management using the consensus-based algorithm. To be specific, we design a virtual pool for prosumers to trade energy and exchange information with IoT technologies' support. The consensus-based algorithm enables prosumers to obtain the optimal energy schedule independently in a coordinated manner without revealing any personal data. We use real-world data to perform simulations and validate our developed algorithm. The results show that our consensus-based decentralized transactive energy management strategy is feasible and can significantly reduce the overall system cost.

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