The Internet of Things as a Facilitator of Smart Building Services

Gebbran, Daniel; Chapman, Archie C.; Verbič, Gregor

doi:10.1109/aupec.2018.8757881

Cited by 10 publications

(3 citation statements)

References 31 publications

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“…Conventional systems are traditionally designed/operated vertically, where dedicated devices, infrastructure, and applications are isolated from one another (e.g., they do not share a common communication infrastructure). Meanwhile, the general architecture of the IoT [11] employs different standard protocols and achieves broadband networking while sharing infrastructure, physical, and virtual environments [12], including its application to industrial domainsleading to the Industry 4.0 concept, simplifying the use of industrial protocols and shared infrastructure [13].…”

Section: The Internet Of Things and Cloud Platformsmentioning

confidence: 99%

Cloud and Edge Computing for Smart Management of Power Electronic Converter Fleets: A Key Connective Fabric to Enable the Green Transition

Gebbran¹,

Barragan-Moreno

Gómez

et al. 2023

EEE Ind. Electron. Mag.

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and TOMISLAV DRAGIC ˇEVIC ´The increasing grid penetration of renewable energy generation, energy storage, and controllable electronic loads [e.g., electric vehicle (EV) chargers, motor drives, and electrolyzers) is making power electronic converters (PECs)-their controllable grid connection interfaces-omnipresent. Therefore, fleets of PECs are becoming key players not only in coordinating the generation and storage but also in unlocking the potential for flexibility within each load. In this article, we discuss how cloud-based platforms and edge devices can allow for interfacing PECs and advanced control algorithms. We present seven different study cases using our own developed cloud-based platform that demonstrate the smart coordination of PECs in a variety of prototypes and real-world solutions. Moreover, the capabilities of cloud and edge computing are highlighted throughout the article at large, effectively characterizing cloud-based control of fleets of PECs as an essential part of the future energy sector.

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Section: The Internet Of Things and Cloud Platformsmentioning

confidence: 99%

Cloud and Edge Computing for Smart Management of Power Electronic Converter Fleets: A Key Connective Fabric to Enable the Green Transition

Gebbran¹,

Barragan-Moreno

Gómez

et al. 2023

EEE Ind. Electron. Mag.

Self Cite

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“…For example, 4G network latency 6 range from 30 to 160 ms, and upcoming 5G networks will further reduce these values [16]. In parallel, network technologies tailored for the Internet of Things [18], such as LTE-M, NB-IoT and EC-GSM-IoT, could also be used to deploy this communication. These networks have latencies of 300 to 600 ms in areas within the normal cell edge of the radio cell [19].…”

Section: Communication Requirementsmentioning

confidence: 99%

Practical Considerations of DER Coordination with Distributed Optimal Power Flow

Gebbran,

Mhanna,

Chapman

et al. 2022

Preprint

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The coordination of prosumer-owned, behind-themeter distributed energy resources (DER) can be achieved using a multiperiod, distributed optimal power flow (DOPF), which satisfies network constraints and preserves the privacy of prosumers. To solve the problem in a distributed fashion, it is decomposed and solved using the alternating direction method of multipliers (ADMM), which may require many iterations between prosumers and the central entity (i.e., an aggregator). Furthermore, the computational burden is shared among the agents with different processing capacities. Therefore, computational constraints and communication requirements may make the DOPF infeasible or impractical. In this paper, part of the DOPF (some of the prosumer subproblems) is executed on a Raspberry Pi-based hardware prototype, which emulates a low processing power, edge computing device. Four important aspects are analyzed using test cases of different complexities. The first is the computation cost of executing the subproblems in the edge computing device. The second is the algorithm operation on congested electrical networks, which impacts the convergence speed of DOPF solutions. Third, the precision of the computed solution, including the trade-off between solution quality and the number of iterations, is examined. Fourth, the communication requirements for implementation across different communication networks are investigated. The above metrics are analyzed in four scenarios involving 26-bus and 51-bus networks.

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“…The proposed algorithm requires communication between the aggregator and the prosumers. The size of the messages exchanged between the agents is smaller than 2 KB, which can be accommodated using the existing last-mile network technologies, such as 4G, or networks tailored for the Internet of Things [49] such as LTE-M, NB-IoT and EC-GSM-IoT. These technologies offer sufficiently small latencies relative to the computation time of the DOPF network subproblem so that the communication delay accounts for less than 5% of the total computation time [5].…”

Section: Communication Requirementsmentioning

confidence: 99%

Fair Coordination of Distributed Energy Resources with Volt-Var Control and PV Curtailment

Gebbran,

Mhanna,

et al. 2022

Preprint

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This paper presents a novel distributed optimal power flow (DOPF) method for fair distributed energy resource (DER) coordination in the context of mandated rooftop PV inverter control modes. In practice, inverter reactive power control is increasingly required by grid connection codes, which often unfairly curtail PV generation of prosumers towards the end of low-voltage feeders. Similarly, optimization-based DER coordination methods that aim solely for technically-efficient DER coordination do not consider the distribution of PV curtailment across customers. To address these concerns, we develop a tractable multi-objective DOPF method for optimal DER coordination that (i) curtails PV generation fairly across prosumers, and (ii) incorporates a standard piecewiselinear volt-var control reactive power control function without using integer variables. Three equity principles representing different interpretations of fairness are implemented in our coordination method; namely, egalitarian, proportional and uniform dynamic PV curtailment redistribution. The performance of our approach is demonstrated on low-voltage distribution feeders of different sizes (5, 10, 25, 50 and 100 prosumers) using two network topologies: line topology without lateral spurs and tree topology with lateral spurs. Each network considers three levels of PV penetration, giving 30 test systems in total. The results demonstrate the effectiveness of the proposed DOPF method for fair DER coordination: PV curtailment is equitably distributed among prosumers with a computational burden on par with conventional DOPF approaches. Moreover, different fairness methods result in different patterns of curtailment, which a regulator may choose between.

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The Internet of Things as a Facilitator of Smart Building Services

Cited by 10 publications

References 31 publications

Cloud and Edge Computing for Smart Management of Power Electronic Converter Fleets: A Key Connective Fabric to Enable the Green Transition

Cloud and Edge Computing for Smart Management of Power Electronic Converter Fleets: A Key Connective Fabric to Enable the Green Transition

Practical Considerations of DER Coordination with Distributed Optimal Power Flow

Fair Coordination of Distributed Energy Resources with Volt-Var Control and PV Curtailment

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