A Method of Distance Protection Setting Calculation for AC/DC Hybrid Receiving-end Power Grid

Wang, Yong; Fan, Rongqi; Fang, Guanghua; Li, Lei; Li, Jing; Li, Meng

doi:10.1109/ei2.2018.8582250

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…It is difficult to fuse several indicators, because the data measured in Phasor Measurement Unit (PMU) have different physical properties, so it is difficult for traditional methods to fuse multiple indicators to judge and warn the occurrence of low-frequency oscillation. According to the relationship between different indicators, we use the Kernel matrix [12] in Fuzzy Analytical Hierarchy Process (FAHP) to calculate the correction degree between elements in fuzzy judgment matrix. This paper finds out a research mechanism of low-frequency oscillation early warning of comprehensive indicators, which is used in RF 1 stage to improve the accuracy of low frequency oscillation early warning.…”

Section: Fuzzy Evaluation Matrixmentioning

confidence: 99%

A three-stage random forest integrating fuzzy matrix method in low frequency oscillation classification of power system

Yu,

Yang,

Shi

et al. 2023

Sylwan

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In view of the problems that the early warning process of low frequency oscillation in power system is vulnerable to the influence of complex grid environment. The classification speed is slow due to the large amount of processing data in the classification process. A three-stage random forest based on a fuzzy matrix method is proposed in this paper to improve the accuracy and the classification speed of low frequency oscillation early warning in power system. Firstly, the fuzzy matrix comprehensive evaluation is carried out by PMU data, and the evaluation score S will be obtained to determine whether low-frequency oscillation occurs and makes a quick warning. Then, the data is processed by Synchronous Wavelet Transform (SWT), and the damping ratio and attenuation factor of the data are obtained. Furthermore, Random Forest 2(RF 2) and RF 3 are used to judge the type of low frequency oscillation. Finally, simulation results show that the comprehensive fuzzy matrix improves the accuracy of low-frequency oscillation early warning, and the three-stage classification method reduces the amount of data processing and improves the classification speed and stability.

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Section: Fuzzy Evaluation Matrixmentioning

confidence: 99%

A three-stage random forest integrating fuzzy matrix method in low frequency oscillation classification of power system

Yu,

Yang,

Shi

et al. 2023

Sylwan

View full text Add to dashboard Cite

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A comprehensive review of hybrid AC/DC networks: insights into system planning, energy management, control, and protection

Abdelwanis,

Elmezain

2024

Neural Comput & Applic

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The introduction of hybrid alternating current (AC)/direct current (DC) distribution networks led to several developments in smart grid and decentralized power system technology. The paper concentrates on several topics related to the operation of hybrid AC/DC networks. Such as optimization methods, control strategies, energy management, protection issues, and proposed solutions. The implementation of neural network optimization methods has great importance for the successful integration of multiple energy sources, dynamic energy management, establishment of system stability and reliability, power distribution optimization, management of energy storage, and online fault detection and diagnosis in hybrid networks like the hybrid AC–DC microgrids (MG). Taking advantage of renewable energy generation and cost-cutting through the neural network optimization technique holds the key to these progressions. Besides identifying the challenges in the operation of a hybrid system, the paper also compares this system to conventional MGs and shows the benefits of this type of system over different MG structures. This review compares the different topologies, particularly looking at the AC–DC coupled hybrid MGs, and shows the important role of the interlinking of converters that are used for efficient transmission between AC and DC MGs and generally used to implement the different control and optimization techniques. Overall, this review paper can be regarded as a reference, pointing out the pros and cons of integrating hybrid AC/DC distribution networks for future study and improvement paths in this developing area.

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A Method of Distance Protection Setting Calculation for AC/DC Hybrid Receiving-end Power Grid

Cited by 2 publications

References 2 publications

A three-stage random forest integrating fuzzy matrix method in low frequency oscillation classification of power system

A three-stage random forest integrating fuzzy matrix method in low frequency oscillation classification of power system

A comprehensive review of hybrid AC/DC networks: insights into system planning, energy management, control, and protection

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