The research on coordinated operation and cluster management for multi-microgrids

He, Xing; Ai, Qian; Yuan, Peng; Wang, Xiaohong

doi:10.1049/cp.2012.1820

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…According to incomplete statistics, more than 70 destructive thermal faults have occurred in transformers of 110 kV and above of China Southern Power Grid Corporation since 2015. Therefore, based on the requirements of digital transformation of power grid and safe and stable operation, it is an urgent problem to introduce digital twin technology to analyze the thermal life loss of transformers [1][2].…”

Section: Introductionmentioning

confidence: 99%

Research on comprehensive optimization strategy of transformer thermal life in digital substation

2023

IJNDES

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With the national advocacy and vigorous promotion of new digital infrastructure, digital assessment of transformer operation state based on digital twin technology has become one of the hot issues in the power field. In this paper, taking an oil immersed transformer as an example, the magnetic, current and thermal multi field coupling numerical analysis method is used to simulate and analyze the operation state of the transformer, monitor the multi state characteristic parameters of the transformer through sensors, integrate the numerical simulation analysis results with the state monitoring results, and build a transformer thermal life loss evaluation system. This method can evaluate and analyze the operation status of transformers in real time, which is of great significance for power companies to formulate governance measures. It can effectively support the national new digital infrastructure strategy and contribute to the national strategy while satisfying the normal operation of power grid enterprises.

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Section: Introductionmentioning

confidence: 99%

Research on comprehensive optimization strategy of transformer thermal life in digital substation

2023

IJNDES

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Spatiotemporal Big Data Analysis for Smart Grids Based on Random Matrix Theory

Mouftah

Erol‐Kantarci²,

Rehmani³

2018

Transportation and Power Grid in Smart Cities

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A cornerstone of the smart grid is the advanced monitorability on its assets and operations. Increasingly pervasive installation of the phasor measurement units (PMUs) allows the so-called synchrophasor measurements to be taken roughly 100 times faster than the legacy supervisory control and data acquisition (SCADA) measurements, time-stamped using the global positioning system (GPS) signals to capture the grid dynamics. On the other hand, the availability of low-latency two-way communication networks will pave the way to high-precision real-time grid state estimation and detection, remedial actions upon network instability, and accurate risk analysis and post-event assessment for failure prevention.In this chapter, we firstly modelling spatio-temporal PMU data in large scale grids as random matrix sequences. Secondly, some basic principles of random matrix theory (RMT), such as asymptotic spectrum laws, transforms, convergence rate and free probability, are introduced briefly in order to the better understanding and application of RMT technologies. Lastly, the case studies based on synthetic data and real data are developed to evaluate the performance of the RMT-based schemes in different application scenarios (i.e., state evaluation and situation awareness).

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The research on coordinated operation and cluster management for multi-microgrids

Cited by 2 publications

References 13 publications

Research on comprehensive optimization strategy of transformer thermal life in digital substation

Research on comprehensive optimization strategy of transformer thermal life in digital substation

Spatiotemporal Big Data Analysis for Smart Grids Based on Random Matrix Theory

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