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Power grid ultralow frequency oscillation online identification early warning method considering primary frequency modulation dead zone

An ultra-low frequency, dead zone technology, applied in the direction of reducing/preventing power oscillation, detecting faults by conductor type, fault location, etc., can solve problems such as lack of attention

Active Publication Date: 2020-10-20
NANJING NARI WATER RESOURCES & HYDROPOWER TECH CO LTD
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Problems solved by technology

At present, many studies have focused on the suppression strategy of ultra-low frequency oscillation, but there is still little attention to the online identification algorithm of ultra-low frequency oscillation

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  • Power grid ultralow frequency oscillation online identification early warning method considering primary frequency modulation dead zone
  • Power grid ultralow frequency oscillation online identification early warning method considering primary frequency modulation dead zone
  • Power grid ultralow frequency oscillation online identification early warning method considering primary frequency modulation dead zone

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Embodiment Construction

[0052] The identification process of this algorithm can be divided into four steps: locating the crossing point of the frequency modulation dead zone, extracting the oscillation peak point, constructing the oscillation waveform, and calculating and judging the oscillation information. First, set the rolling time window length of the online identification algorithm. Considering that the ultra-low frequency oscillation frequency is generally lower than 0.1 Hz, it is recommended to set the rolling time window length to 50-100 s, and the sampling rate of the frequency signal should be greater than 10 Hz. The four steps of the identification algorithm are introduced in detail below.

[0053] Step 1, positioning of the crossing point. The so-called crossing point refers to the critical point when the grid frequency crosses and returns to the dead band of primary frequency modulation. The upper frequency band of primary frequency modulation is 50.05Hz and the lower frequency band is ...

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Abstract

The invention discloses a power grid ultralow frequency oscillation online identification early warning method considering a primary frequency modulation dead zone. The method comprises the steps: setting an identification parameter, and loading real-time frequency data; identifying and locating a crossing point according to the frequency data; extracting peak points according to the identified and located crossing point; constructing an oscillation oscillogram according to the extracted peak points; and calculating and judging oscillation information according to the constructed oscillation oscillogram, issuing an ultralow-frequency oscillation prompt and displaying a frequency oscillation online identification result if the ultralow-frequency oscillation judgment is met, and reloading real-time frequency data if the ultralow-frequency oscillation judgment is not met. Certain power grid frequency normal fluctuation processes with ultra-low frequency oscillation characteristics in a primary frequency modulation dead zone (-49.95 Hz to 50.05 Hz) can be effectively filtered, and the algorithm is high in identification parameter robustness and small in calculated amount and has a dataself-checking reconstruction function.

Description

technical field [0001] The invention relates to the technical field of power grid ultra-low frequency oscillation, in particular to an online identification and early warning method for power grid ultra-low frequency oscillation considering the dead zone of primary frequency modulation. Background technique [0002] In recent years, with the rapid development of my country's power grid construction and scale, great changes have taken place in the grid structure. First, the emergence of UHV asynchronous networking. For example, the Southwest Power Grid will form an asynchronous networking with AC main grids such as Sichuan and Yunnan through UHV DC Way. Second, the proportion of hydropower in Southwest China is relatively high. As of March 2017, Sichuan’s hydropower installed capacity exceeded 80% of the province’s installed capacity, and Yunnan’s hydropower accounted for 70% of the province’s installed capacity. After asynchronous operation, the Southwest Power Grid has real...

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Application Information

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IPC IPC(8): H02J3/24G01R31/08
CPCH02J3/24G01R31/086
Inventor 蔡卫江施鑫磊赵勇施海东初云鹏孙尔军李悦岑孙永宾陈晓勇
Owner NANJING NARI WATER RESOURCES & HYDROPOWER TECH CO LTD
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