Clustering Algorithm-Based Network Planning for Advanced Metering Infrastructure in Smart Grid

Gallardo, Jose Luis; Ahmed, Mohamed A.; Jara, Nicolás

doi:10.1109/access.2021.3068752

Cited by 23 publications

(11 citation statements)

References 28 publications

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“…Gallardo et al presented network planning for advanced metering infrastructure where they have proposed a clustering algorithm-based technique for the placement of data aggregation points [25]. However, the authors did not discuss the overall cost-effectiveness of the communication network for advanced metering infrastructure.…”

Section: Related Workmentioning

confidence: 99%

Cost Optimal Hybrid Communication Model for Smart Distribution Grid

Devidas

Ramesh

2022

IEEE Trans. Smart Grid

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There have been significant changes and dynamic growth in power grids since the inception of the smart grid. To ensure a self-sustainable grid, the power grid should facilitate the real-time sharing of the dynamic attributes of the power grid between the spatially distributed power grid elements. This demands a flawless design of the overlay communication network for a smart grid. However, instrumenting the entire grid with intelligent communication devices would be prohibitively expensive. A cost-optimal model is necessary to select the actual cardinality of intelligent communication devices required for the data transmission by ensuring its Quality of Service (QoS) metrics. This research work presents a smart distribution grid architecture with a network of microgrids and details the need for hybrid communication for intra-microgrid communication. A cost-optimal model is proposed to offer an optimal combination of technologies for intelligent devices in the hybrid communication overlay network. The formulation considers QoS metrics such as data packet latency, bandwidth requirement, link reliability, packet drops, and communication range of the technology to derive a cost-optimal solution. Based on this model, a Recursive Algorithm for Cost Optimal Combination of Communication Technology (RACOCCT) for a power grid topology is presented in this work. The simulation study performed on selected power grid topology based on the Standard IEEE 33 bus network reveals the cost-optimal combination of hybrid wireless communication technologies for the varying probability of link unreliability.

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Section: Related Workmentioning

confidence: 99%

Cost Optimal Hybrid Communication Model for Smart Distribution Grid

Devidas

Ramesh

2022

IEEE Trans. Smart Grid

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“…Foregone in review of the above literature, our question remains unanswered, that is what should be the appropriate size or number of clusters from a network planning perspective. Though some works have addressed clustering-based network planning in the past [63]- [66], they cannot be straightforwardly applied to 5G networks due to the very different requirements. Some previous studies have incorporated clustering to network planning [67]- [70].…”

Section: Related Work and Contributionmentioning

confidence: 99%

Unsupervised Clustering for 5G Network Planning Assisted by Real Data

et al. 2022

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The fifth-generation (5G) of networks is being deployed to provide a wide range of new services and to manage the accelerated traffic load of the existing networks. In the present-day networks, data has become more noteworthy than ever to infer about the traffic load and existing network infrastructure to minimize the cost of new 5G deployments. Identifying the region of highest traffic density in megabyte (MB) per km 2 has an important implication in minimizing the cost per bit for the mobile network operators (MNOs). In this study, we propose a base station (BS) clustering framework based on unsupervised learning to identify the target area known as the highest traffic cluster (HTC) for 5G deployments. We propose a novel approach assisted by real data to determine the appropriate number of clusters k and to identify the HTC. The algorithm, named as NetClustering, determines the HTC and appropriate value of k by fulfilling MNO's requirements on the highest traffic density MB/km 2 and the target deployment area in km 2 . To compare the appropriate value of k and other performance parameters, we use the Elbow heuristic as a benchmark. The simulation results show that the proposed algorithm fulfills the MNO's requirements on the target deployment area in km 2 and highest traffic density MB/km 2 with significant cost savings and achieves higher network utilization compared to the Elbow heuristic. In brief, the proposed algorithm provides a more meaningful interpretation of the underlying data in the context of clustering performed for network planning.

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“…Residential premises can be polled every 5 to 60 minutes, while industrial or commercial premises can be collected in seconds. This data collection frequency, along with their traffic volume, will vary for every utility depending on their metering systems and specific needs for implementation [47] applied in a real suburban neighborhood as a case study [3]. In Ref.…”

Section: Related Workmentioning

confidence: 99%

“…The suburban neighborhood is located in Puerto Montt, Chile. This case was chosen because the suburban study for the NAN is aligned with the work presented in [47] for planning the AMI network. Smart meters are modeled by their (longitude, latitude) coordinates obtained using Google Maps and modeled on an X-Y axis using imaging software to obtain a plane representation of the ground.…”

Section: A Neighborhood Area Networkmentioning

confidence: 99%

LoRa IoT-Based Architecture for Advanced Metering Infrastructure in Residential Smart Grid

2021

Self Cite

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Internet of Things (IoT) technologies are opening new opportunities and services for different smart grid applications such as advanced meter infrastructures (AMI), distributed energy resources, and electric vehicles. Among these applications, AMIs represent the first step toward future smart grid implementation by enabling the reading and recording of electric power consumption on request or a schedule. In this study, the main focus is designing an IoT-based architecture to support AMIs' daily reporting and billing in a residential grid. First, the network modeling for AMI is discussed. Long range (LoRa) technology, as one of the promising candidates for long range low power wide area networks (LPWANs), has been studied and discussed. A comprehensive analysis of the LoRa-based architecture is given for a case study of an actual residential grid, Puerto Montt, Chile. The results are analyzed and discussed for packet delivery ratio, energy consumption, throughput, number of collisions, and frequency distribution.

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Clustering Algorithm-Based Network Planning for Advanced Metering Infrastructure in Smart Grid

Cited by 23 publications

References 28 publications

Cost Optimal Hybrid Communication Model for Smart Distribution Grid

Cost Optimal Hybrid Communication Model for Smart Distribution Grid

Unsupervised Clustering for 5G Network Planning Assisted by Real Data

LoRa IoT-Based Architecture for Advanced Metering Infrastructure in Residential Smart Grid

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