Live Covid-19
United States 93,910,150
Cases: 93,910,150
Deaths: 1,058,738
Recovered: 89,039,885
Active: 3,811,527
India 44,161,899
Cases: 44,161,899
Deaths: 526,730
Recovered: 43,499,659
Active: 135,510
France 34,079,658
Cases: 34,079,658
Deaths: 152,711
Recovered: 33,015,897
Active: 911,050
Brazil 34,018,371
Cases: 34,018,371
Deaths: 680,051
Recovered: 32,731,706
Active: 606,614
Germany 31,228,314
Cases: 31,228,314
Deaths: 144,858
Recovered: 29,622,900
Active: 1,460,556
United Kingdom 23,368,899
Cases: 23,368,899
Deaths: 185,052
Recovered: 22,883,651
Active: 300,196
Italy 21,325,402
Cases: 21,325,402
Deaths: 173,249
Recovered: 20,097,986
Active: 1,054,167
South Korea 20,544,420
Cases: 20,544,420
Deaths: 25,292
Recovered: 18,983,817
Active: 1,535,311
Russia 18,730,561
Cases: 18,730,561
Deaths: 382,786
Recovered: 18,048,076
Active: 299,699
Turkey 16,295,817
Cases: 16,295,817
Deaths: 99,678
Recovered: 15,875,121
Active: 321,018
Japan 14,248,541
Cases: 14,248,541
Deaths: 33,663
Recovered: 12,156,152
Active: 2,058,726
Spain 13,266,184
Cases: 13,266,184
Deaths: 111,094
Recovered: 12,760,955
Active: 394,135
Vietnam 11,349,223
Cases: 11,349,223
Deaths: 43,094
Recovered: 9,982,345
Active: 1,323,784
Australia 9,658,112
Cases: 9,658,112
Deaths: 12,335
Recovered: 9,362,715
Active: 283,062
Argentina 9,560,307
Cases: 9,560,307
Deaths: 129,369
Recovered: 9,330,792
Active: 100,146
Netherlands 8,354,641
Cases: 8,354,641
Deaths: 22,528
Recovered: 8,214,723
Active: 117,390
Iran 7,443,801
Cases: 7,443,801
Deaths: 142,515
Recovered: 7,112,890
Active: 188,396
Mexico 6,857,470
Cases: 6,857,470
Deaths: 328,320
Recovered: 6,034,876
Active: 494,274
Colombia 6,278,998
Cases: 6,278,998
Deaths: 141,075
Recovered: 6,096,946
Active: 40,977
Indonesia 6,249,403
Cases: 6,249,403
Deaths: 157,113
Recovered: 6,042,657
Active: 49,633
Poland 6,094,868
Cases: 6,094,868
Deaths: 116,660
Recovered: 5,335,873
Active: 642,335
Portugal 5,359,624
Cases: 5,359,624
Deaths: 24,664
Recovered: 5,228,001
Active: 106,959
Ukraine 5,026,496
Cases: 5,026,496
Deaths: 108,727
Recovered: 4,912,069
Active: 5,700
Austria 4,791,014
Cases: 4,791,014
Deaths: 19,200
Recovered: 4,689,678
Active: 82,136
North Korea 4,772,813
Cases: 4,772,813
Deaths: 74
Recovered: 4,772,739
Active: 0
Taiwan 4,754,268
Cases: 4,754,268
Deaths: 9,255
Recovered: 4,300,651
Active: 444,362
Malaysia 4,708,552
Cases: 4,708,552
Deaths: 36,026
Recovered: 4,626,756
Active: 45,770
Thailand 4,607,451
Cases: 4,607,451
Deaths: 31,633
Recovered: 4,554,502
Active: 21,316
Israel 4,598,476
Cases: 4,598,476
Deaths: 11,433
Recovered: 4,550,603
Active: 36,440
Greece 4,474,616
Cases: 4,474,616
Deaths: 31,377
Recovered: 4,353,814
Active: 89,425

Improving the Availability of the Onitsha-New Haven 330kv Transmission Line Availability Using Adaptive PMU-Based Insulation Defect Detector

Improving the Availability of the Onitsha-New Haven 330kv Transmission Line Availability Using Adaptive PMU-Based Insulation Defect Detector


This thesis is aimed at improving the availability of the New Haven-Onitsha 330kV transmission line by using an adaptive PMU based insulation defect detecting and location scheme. The exposed nature of overhead power lines makes overhead power transmission lines very vulnerable to various kinds of faults. Insulation-related faults contribute reasonably to the number of faults experienced in overhead transmission lines. These faults cause outages in the network and reduce the availability of the transmission lines. Poor transmission line availability means long and frequent outages which imply that industrial and domestic consumers will have to run standby generators for longer times to sustain production and power-dependent domestic activities. The availability of the test transmission line was also evaluated over three years (2018 to 2020). Outage data obtained from TCN regional office Enugu was used for the evaluation. The performance of the proposed technique in enhancing line availability and reducing forced outage duration in the test transmission line was evaluated against the result of this characterization. Having established in the literature that insulation defect in transmission lines is characterized by the presence of partial discharge current pulse; a model of a three capacitor-based partial discharge current pulse generator was used to inject partial discharge current pulse into the test network in a controlled manner. A PMU based insulation defect detecting system was then modeled in Simulink to detect the insulation defect that will be introduced into the network. An ANN model that will make the PMU based insulation defect detection scheme intelligent was created, trained, and converted into a Simulink model. Developed models were then connected and simulated to determine the performance of the adaptive insulation defect detection system in detecting and locating insulation defects in the test transmission line. The impact of the use of an adaptive insulation defect detection system in preventing insulation-related faults and improving line availability (and reducing forced outage duration) was evaluated against the values obtained without the adaptive insulation defect detection system connected. Simulation results revealed that the proposed technique improved transmission line availability by 2.05% with respect to the network without the adaptive PMU based insulation defect detection scheme. It was concluded that an adaptive PMU based insulation defect detection scheme was effective in detecting and locating insulation defects in High Voltage transmission lines. It was also concluded that the adaptive detection scheme improved transmission line availability of the test network relative to the transmission line without the adaptive insulation defect detection scheme.

Keywords: Transmission Line, Outages, Pulse Generator, Insulation Defect Detector

Nwani, Emmanuel O.; Onoh, Greg N.; and Eke James | Full PDF