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 34,074,568
Cases: 34,074,568
Deaths: 152,537
Recovered: 32,881,774
Active: 1,040,257
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

Reduction of Outages in Transmission Using Real-Time Technique

Reduction of Outages in Transmission Using Real-Time Technique

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  • November 2, 2021
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ABSTRACT

Availability of power supply and steady electric power to the users is vital to the growth of any economy to achieve its maximum benefits. In Nigeria, the country faces a serious challenge in terms of power supply. This is caused by low power generation as a result of vandalism of power facilities by dubious people and by other factors like aging of power facilities, overloading transformers, etc. The main problem is that little generated power is not properly managed. The allocated megawatts by different load centers (substations) are being consumed above the allocated megawatts. That is to say that the consumed megawatts exceed the allocated megawatts due to the higher demand for power. This situation gives birth to emergency load shedding. So, the problem is how do we reduce this emergency load shedding in transmission lines? The real-time technique was used to examine and adopted to reduce emergency load shedding in the transmission line. The real-time technique is a system, that allocates load or megawatts to maintain, allocate sheet for hourly reading, monitor load, raise alarm if the consumption exceeds the load allocations, and control or isolate substation that exceeded load allocation. The following were done: Collation of transmissions line outages data, Application of real-time techniques to Transmission line Network, simulate results using MATLAB. Hypertext processor (PHP) software was used to write a program that monitors and controls load allocation. The real-time technique was introduced using General Cotton Mill (GCM) 132kV substation as a test system, and the result shows that the real-time technique reduces emergency load shedding by 0.1892%.  The work shows the result of the real-time technique and how such a technique can be extended to the entire grid to reduce emergency load shedding.

Keywords: Outages, Transmission Line Network, Real-time Technique, Power Supply

Authorship
Ugwu George Ph.D. | Full PDF

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