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Analysis and Suppression Strategy of Sub-synchronous Oscillation for Wind-Thermal-Bundled Power Transmitted by Series-Compensated System Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Research on Grid State Portrait Technology and Its System Realization

Authors : Bo Wang, Sheng Huang, Feifei Li, Yiming Zheng, Tingxiang Lu, Xin Shan

Published in: Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control

Publisher: Springer Singapore

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Abstract

Based on the traditional user portrait technology and concept, this paper extracts various indicators that reflect the characteristics of grid operation state from the main aspects of grid operation to construct the grid state portrait label system and label generation method, establishes the grid state portrait analysis model, and evaluates the grid state trend. On this basis, the grid state portrait application system is designed and implemented, and the in-depth analysis of the grid state portrait and operation data is realized by means of an intuitive comprehensive display method. The practical application results show that the system can intuitively reflect the grid operation situation from multiple dimensions, discover and display data rule related to equipment or grid, which can provide technical support for power grid operators to conduct monitoring, take preventive measures and make decision for power grid operation.

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previous chapter A CNN-Based Fault Section Location Method in Distribution Network Using Distribution-Level PMU Data
next chapter A Line Loss Calculation Method for Power Grid Partition Based on Complex Network Community Discovery Algorithm
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Metadata
Title
Research on Grid State Portrait Technology and Its System Realization
Authors
Bo Wang
Sheng Huang
Feifei Li
Yiming Zheng
Tingxiang Lu
Xin Shan
Copyright Year
2020
Publisher
Springer Singapore
Book
Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control

Print ISBN: 978-981-13-9782-0

Electronic ISBN: 978-981-13-9783-7

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-13-9783-7_52