A System-Based Framework for Optimal Sensor Placement in Smart Grids

Mwangi, Agrippina; Sundsgaard, Konrad; Vilaplana, Jose Angel Leiva; Vilerá, Kaio Vinícius; Yang, Guang-Hong

doi:10.1109/powertech55446.2023.10202987

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…IIoT devices facilitate proactive monitoring, condition-based maintenance, automation, alerts, scheduling, forecasting, and predictive analysis, which help the O&M team in decision-making [5,24]. Surveys by Mustafa et al [25] and Wisser et al [26] show that of the total levelized cost of energy (LCOE) in a wind farm, 49% is attributed to the wind turbine energy generation, 29% to O&M functions, 16% to auxiliary systems, and 6% to regular financial costs.…”

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confidence: 99%

Towards a Software-Defined Industrial IoT-Edge Network for Next-Generation Offshore Wind Farms: State of the Art, Resilience, and Self-X Network and Service Management

Mwangi,

Sahay,

Fumagalli

et al. 2024

Energies

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Offshore wind farms are growing in complexity and size, expanding deeper into maritime environments to capture stronger and steadier wind energy. Like other domains in the energy sector, the wind energy domain is continuing to digitalize its systems by embracing Industry 4.0 technologies such as the Industrial Internet of Things (IIoT), virtualization, and edge computing to monitor and manage its critical infrastructure remotely. Adopting these technologies creates dynamic, scalable, and cost-effective data-acquisition systems. At the heart of these data-acquisition systems is a communication network that facilitates data transfer between communicating nodes. Given the challenges of configuring, managing, and troubleshooting large-scale communication networks, this review paper explores the adoption of the state-of-the-art software-defined networking (SDN) and network function virtualization (NFV) technologies in the design of next-generation offshore wind farm IIoT–Edge communication networks. While SDN and NFV technologies present a promising solution to address the challenges of these large-scale communication networks, this paper discusses the SDN/NFV-related performance, security, reliability, and scalability concerns, highlighting current mitigation strategies. Building on these mitigation strategies, the concept of resilience (that is, the ability to recover from component failures, attacks, and service interruptions) is given special attention. The paper highlights the self-X (self-configuring, self-healing, and self-optimizing) approaches that build resilience in the software-defined IIoT–Edge communication network architectures. These resilience approaches enable the network to autonomously adjust its configuration, self-repair during stochastic failures, and optimize performance in response to changing conditions. The paper concludes that resilient software-defined IIoT–Edge communication networks will play a big role in guaranteeing seamless next-generation offshore wind farm operations by facilitating critical, latency-sensitive data transfers.

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