Service Restoration Algorithm for Distribution Grids under High Impact Low Probability Events

Dognini, Alberto; Shrivastava, Abhinav; Angioni, Andrea; Ponci, Ferdinanda; Monti, Antonello

doi:10.1109/isgt-europe47291.2020.9248823

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…For the distribution system, with the rapid development of new energy technologies [2], distributed generation (DG) such as wind power and photovoltaic power generation is increasingly connected to the distribution network, which makes the structure of the distribution network larger and the power flow more complex, presenting huge challenges to the troubleshooting of the distribution network [3]. The traditional passive waiting time for fault elimination is up to dozens of hours, the use of fault reconstruction technology can significantly shorten the outage time [4], making the rapid repair technology of the distribution network more and more important [5,6]. The distribution network response to extreme faults is a multi-stage decision process, including fault diagnosis and isolation, islanding operation, and maintenance and restoration.…”

Section: Introductionmentioning

confidence: 99%

Emergency Power Supply Restoration Strategy for Distribution Network Considering Support of Microgrids with High-Dimensional Dynamic Correlations

Yang¹,

Han

Wang

et al. 2023

Electronics

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With the rapid development of renewable energy, microgrids are becoming more and more essential in distribution networks. However, uncertainties brought by new energy sources have posed great challenges to the energy safety and stability of distribution networks, especially in the process of fault restoration. To address these issues, this paper investigates an emergency power supply recovery strategy for distribution networks by considering the support capability of microgrids and the high-dimensional dynamic correlations of uncertainty. Firstly, the structure of distribution networks including microgrids is analyzed. Then, the high-dimensional dynamic vine copula model is proposed to model the joint output uncertainty process. Next, island partition and operation models are established, including the objective function and constraint conditions, and the model solving methods are also presented. Finally, an example analysis is conducted to verify the effectiveness of the proposed strategy. The results show that the proposed strategy is able to deal with the uncertainties brought by renewable energy sources in distribution networks with microgrid support, improving energy safety and stability. This research provides valuable insights for the development of emergency power supply strategies in distribution networks.

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Section: Introductionmentioning

confidence: 99%

Emergency Power Supply Restoration Strategy for Distribution Network Considering Support of Microgrids with High-Dimensional Dynamic Correlations

Yang¹,

Han

Wang

et al. 2023

Electronics

View full text Add to dashboard Cite

show abstract

A cloud-based service-oriented architecture to unlock smart energy services

et al. 2021

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In a modern smart energy system with increased penetration of renewable energy resources, the amount of data from various sources is growing significantly. Such systems require complex algorithms and controlling on-demand. These requirements can be addressed with on-demand scalability and a stable system. Nowadays, on-demand scalability is achieved by considering cloud computing and Internet of Things (IoT) technologies. This paper presents a cloud-based platform based on service-oriented architecture to perform analyzes on smart energy system services. It is the result of the European FISMEP (FIWARE for Smart Energy Platform) project to demonstrate an information and communication technology (ICT) architecture for the smart energy sector. The presented architecture is powered by FIWARE, open-source and customizable building blocks for future internet applications and services. Furthermore, the feasibility of the architecture is evaluated using various test cases.

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Service Restoration Algorithm for Distribution Grids under High Impact Low Probability Events

Cited by 2 publications

References 16 publications

Emergency Power Supply Restoration Strategy for Distribution Network Considering Support of Microgrids with High-Dimensional Dynamic Correlations

Emergency Power Supply Restoration Strategy for Distribution Network Considering Support of Microgrids with High-Dimensional Dynamic Correlations

A cloud-based service-oriented architecture to unlock smart energy services

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