Toward a New Standard for Secondary Substations: The Viewpoint of a Distribution Utility

Dedè, Alessio; Giustina, Davide Della; Massa, Giovanni; Cremaschini, L.

doi:10.1109/tpwrd.2016.2622006

Cited by 6 publications

(1 citation statement)

References 20 publications

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“…IEDs, microprocessor-based controllers of power system equipment such as circuit breakers, transformers, and distributed generation, can be used for protection purposes, power quality analysis, network monitoring, energy metering, and so on. Real-time control of each network component is required and the network is equipped with smart meters and communication devices as well as faster protection devices and controls for power flow monitoring, distributed generation management, and network automation [29]. Distribution system operators (DSO) are already developing a significant refurbishment activity of secondary substations with new solutions for technological improvement of MV and low voltage (LV) equipment, MV/LV transformers, protection system, remote control devices and auxiliary components [30,31] With smart distribution networks, radial operation of the network could be abandoned with significant benefits.…”

Section: Fault Detection and Reconfiguration Scheme For Smart Distribmentioning

confidence: 99%

Co-Simulation of Smart Distribution Network Fault Management and Reconfiguration with LTE Communication

et al. 2018

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Transition towards a smart grid requires network modernization based on the deployment of information and communication technologies for managing network operation and coordinating distributed energy resources in distribution systems. The success of the most advanced smart grid functionalities depends on the availability and quality of communication systems. Amongst the most demanding functionalities, those related to fault isolation, location and system restoration (FLISR) to obtain a self-healing smart grid are critical and require low latency communication systems, particularly in case of application to weakly-meshed operated networks. Simulation tools capable of capturing the interaction between communication and electrical systems are of outmost utility to check proper functioning of FLISR under different utilization conditions, to assess the expected improvements of Quality of Service, and to define minimum requirements of the communication system. In this context, this paper investigates the use of public mobile telecommunication system 4G Long Term Evolution (LTE) for FLISR applications in both radially and weakly-meshed medium voltage (MV) distribution networks. This study makes use of a co-simulation software platform capable to consider power system dynamics. The results demonstrate that LTE can be used as communication medium for advanced fault location, extinction, and network reconfiguration in distribution networks. Furthermore, this paper shows that the reduction of performances with mobile background usage does not affect the system and does not cause delays higher than 100 ms, which is the maximum allowable for power system protections.

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Section: Fault Detection and Reconfiguration Scheme For Smart Distribmentioning

confidence: 99%

Co-Simulation of Smart Distribution Network Fault Management and Reconfiguration with LTE Communication

et al. 2018

View full text Add to dashboard Cite

show abstract

Towards an IoT/Big-Data Platform for Data Measurements, Collection and Processing in Micro-grid Systems

Elmouatamid

Alidrissi

Ouladsine

et al. 2021

Digital Technologies and Applications

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Towards improving throughput and reducing latency: A simplified protocol conversion mechanism in distributed energy resources network

et al. 2018

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Toward a New Standard for Secondary Substations: The Viewpoint of a Distribution Utility

Cited by 6 publications

References 20 publications

Co-Simulation of Smart Distribution Network Fault Management and Reconfiguration with LTE Communication

Co-Simulation of Smart Distribution Network Fault Management and Reconfiguration with LTE Communication

Towards an IoT/Big-Data Platform for Data Measurements, Collection and Processing in Micro-grid Systems

Towards improving throughput and reducing latency: A simplified protocol conversion mechanism in distributed energy resources network

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