scholarly journals RSSI-Power-Based Direction of Arrival Estimation of Partial Discharges in Substations

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3450 ◽  
Author(s):  
Wu ◽  
Luo ◽  
Jia ◽  
Sun ◽  
Sheng ◽  
...  
Keyword(s):  
High Frequency ◽  
Partial Discharge ◽  
Sampling Rate ◽  
Signal Strength ◽  
Direction Of Arrival ◽  
Received Signal Strength ◽  
Partial Discharges ◽  
Average Error ◽  
Received Signal Strength Indicator ◽  
Ultra High Frequency

The localization of partial discharges in air-insulated substations using ultra-high frequency technology is widely studied for power equipment early warning purposes. Ultra-high frequency partial discharge localization systems are usually based on the time-difference of electromagnetic wave signals. However, the large size of test equipment and the need for a high sampling rate and time synchronization accuracy limit their practical application. To address this challenge, this paper proposes a power-based partial discharge direction of arrival method using a received signal strength indicator from an ultra-high frequency wireless sensor array. Furthermore, the Gaussian mixture model is used for noise suppression, and the Gaussian process classifier is used for line of sight received signal strength indicator data identification. Laboratory tests are performed and the results show the average error of direction of arrival is less than 5°. The results verify the effectiveness of the proposed partial discharge localization system.

scholarly journals A precise ultra high frequency partial discharge location method for switchgear based on received signal strength ranging

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772090363
Author(s):  
Jiajia Song ◽  
Jinbo Zhang ◽  
Xinnan Fan
Keyword(s):  
Particle Swarm Optimization ◽  
High Frequency ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Received Signal Strength Indicator ◽  
Swarm Optimization ◽  
Ultra High Frequency ◽  
Discharge Location

Partial discharges are the main insulation defects encountered in gas-insulated switchgears. When it occurs inside the gas-insulated switchgear cavity, it degrades insulation, and, sooner or later, causes a breakdown. Therefore, it is important to discover insulation defects as early as possible, locate the discharge, and perform both defect identification and maintenance. Current ultra high frequency-based partial discharge location methods mainly use time delay. To obtain accurate delay times, however, a very high sampling rate is needed, which requires expensive hardware and greatly limits its application. Therefore, in this article, a localization method based on received signal strength indicator ranging is proposed, and location estimation is carried out. An easily implementable particle swarm optimization algorithm with high positioning accuracy is selected to compensate for the low positioning accuracy of current received signal strength indicator ranging methods. To further improve positioning accuracy, the convergence conditions of the particle swarm optimization are investigated, and, considering their constraints, an improved particle swarm optimization algorithm is proposed. By combining the characteristics of ultra high frequency wireless sensor array positioning, the particle size is optimized. The simulation results show that the location accuracy using the ultra high frequency switchgear partial discharge location method based on received signal strength indicator ranging with the improved particle swarm optimization algorithm performs significantly better.

scholarly journals Effect of Humidity on Tropospheric Received Signal Strength (RSS) in Ultra-High Frequency (UHF) Band

2020 ◽  
Vol 1529 ◽  
pp. 042048
Author(s):  
Roshidah Mat ◽  
Nor Hazmin Sabri ◽  
Roslan Umar ◽  
Sabri Ahmad ◽  
Sharifah Nurul Aisyah Syed Zafar ◽  
...  
Keyword(s):  
High Frequency ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Ultra High Frequency ◽  
Uhf Band

scholarly journals A Meticulous Method for the Measurement of Partial Discharges in Gas Insulated Switchgears

2021 ◽  
Vol 9 (3) ◽  
pp. 189-192
Keyword(s):  
High Frequency ◽  
High Speed ◽  
Fiber Optic ◽  
Partial Discharge ◽  
Partial Discharges ◽  
Analog Filters ◽  
Control Panel ◽  
Voltage Measurement ◽  
Ultra High Frequency ◽  
Circulating Currents

This Paper presents the application of modern & meticulous procedure for the measuring Partial Discharge on the GIS (Gas Insulated Switchgear). The conventional method was by the usage of analog filters and the comparison between the induced and circulating currents, here we made use of the ultra-high frequency sensors which detects the ultra-high frequency signals that were produced during the abnormal condition. The UHF sensors are placed on the Gas Insulated Switchgears at the suitable designed location. The detected signal is digitized and transmitted to the control panel via the high speed fiber optic cables. It is processed and the cause for the partial discharge is known. At site it is done along with the high voltage measurement of the GIS. The final measured value is measured in Pico coulombs.

KAJIAN KEKUATAN SINYAL RADIO (RSSI) XBEE DALAM RANGKA PEMASANGAN LANDSLIDE EARLY WARNING SYSTEM (LEWS) DI KABUPATEN GARUT, TASIKMALAYA DAN MAJALENGKA

2019 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Riski Fitriani
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Received Signal Strength Indicator ◽  
Landslide Early Warning ◽  
Point To Point

Salah satu inovasi untuk menanggulangi longsor adalah dengan melakukan pemasangan Landslide Early Warning System (LEWS). Media transmisi data dari LEWS yang dikembangkan menggunakan sinyal radio Xbee. Sehingga sebelum dilakukan pemasangan LEWS, perlu dilakukan kajian kekuatan sinyal tersebut di lokasi yang akan terpasang yaitu Garut, Tasikmalaya, dan Majalengka. Kajian dilakukan menggunakan 2 jenis Xbee yaitu Xbee Pro S2B 2,4 GHz dan Xbee Pro S5 868 MHz. Setelah dilakukan kajian, Xbee 2,4 GHz tidak dapat digunakan di lokasi pengujian Garut dan Majalengka karena jarak modul induk dan anak cukup jauh serta terlalu banyak obstacle. Topologi yang digunakan yaitu topologi pair/point to point, dengan mengukur nilai RSSI menggunakan software XCTU. Semakin kecil nilai Received Signal Strength Indicator (RSSI) dari nilai receive sensitivity Xbee maka kualitas sinyal semakin baik. Pengukuran dilakukan dengan meninggikan antena Xbee dengan beberapa variasi ketinggian untuk mendapatkan kualitas sinyal yang lebih baik. Hasilnya diperoleh beberapa rekomendasi tinggi minimal antena Xbee yang terpasang di tiap lokasi modul anak pada 3 kabupaten.

Present Situation and Prospect of Internal Sensors for UHF Detection in GIS

2015 ◽  
Vol 738-739 ◽  
pp. 38-41
Author(s):  
Yu Bing Duan ◽  
Hao Zhang ◽  
Jun Yong ◽  
Bo Yang ◽  
Xiao Li Hu ◽  
...  
Keyword(s):  
Performance Indicators ◽  
High Frequency ◽  
Partial Discharge ◽  
Present Situation ◽  
Ultra High Frequency ◽  
Gas Insulated Switchgear ◽  
Discharge Detection

This paper summarizes the application situation of the ultra-high frequency (UHF) method in gas insulated switchgear (GIS) partial discharge detection, as well as the differences between internal and external UHF sensors. The performance indicators of internal sensors are introduced, and five main types of internal sensors are discussed and evaluated. In addition, several problems to be solved are posed for researchers.

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