Normally Newton Raphson method doesn't converge for distribution systems
due to high r/x ratios

On Mon, Apr 8, 2019, 22:48 Carlos A. Castro <[email protected]> wrote:

> Dear Nitya
>
> I would do two things:
>
> 1. I would replace all commas "," by points "." in the data file.
>
> 2. I would try to draw the one line diagram of the network based on the
> data, to check whether the network is all connected, that is, that there
> are no isolated buses or group of buses,
>
> Good luck,
>
> Carlos
>
>
> Em seg, 8 de abr de 2019 às 14:42, Nitya Kirana <[email protected]>
> escreveu:
>
>> Dear all,
>>
>> I have run the power flow of 64 radial test bus system using Newton
>> Raphson in Matpower 4.1. It shows the result of power losses but it
>> doesn't converge, whenever I run the matlab, the result is always
>> different, and I don't know what's the problem. Can anyone help me? because
>> this is my final project. It shows "Warning: Matrix is singular to
>> working precision."
>>
>> So, here is my data :
>>
>> bus data
>>          bus               type    Pd          Qd               Gs Bs
>> area Vm            Va baseKV zone        Vmax          Vmin
>> 1 3 0 0 0 0 1 1 0 20 1 1 0,9
>> 2 3 0 0 0 0 1 1 0 20 1 1 0,9
>> 3 3 0 0 0 0 1 1 0 20 1 1 0,9
>> 4 1 0,0136 0,016256 0 0 1 1 0 20 1 1 0,9
>> 5 1 0,0204 0,024384 0 0 1 1 0 20 1 1 0,9
>> 6 1 0 0 0 0 1 1 0 20 1 1 0,9
>> 7 1 0,07684 0,091846 0 0 1 1 0 20 1 1 0,9
>> 8 1 0,02856 0,034138 0 0 1 1 0 20 1 1 0,9
>> 9 1 0,03808 0,045517 0 0 1 1 0 20 1 1 0,9
>> 10 1 0,0238 0,028448 0 0 1 1 0 20 1 1 0,9
>> 11 1 0,01768 0,021133 0 0 1 1 0 20 1 1 0,9
>> 12 1 0,017 0,02032 0 0 1 1 0 20 1 1 0,9
>> 13 1 0,022304 0,02666 0 0 1 1 0 20 1 1 0,9
>> 14 1 0,0204 0,002438 0 0 1 1 0 20 1 1 0,9
>> 15 1 0,05848 0,069901 0 0 1 1 0 20 1 1 0,9
>> 16 1 0,26384 0,315366 0 0 1 1 0 20 1 1 0,9
>> 17 1 0,03774 0,04511 0 0 1 1 0 20 1 1 0,9
>> 18 1 0,0204 0,002438 0 0 1 1 0 20 1 1 0,9
>> 19 1 0,05576 0,06665 0 0 1 1 0 20 1 1 0,9
>> 20 1 0,0136 0,016256 0 0 1 1 0 20 1 1 0,9
>> 21 1 0,0306 0,016256 0 0 1 1 0 20 1 1 0,9
>> 22 1 0,0204 0,024384 0 0 1 1 0 20 1 1 0,9
>> 23 1 0,0272 0,032512 0 0 1 1 0 20 1 1 0,9
>> 24 1 0,11764 0,140614 0 0 1 1 0 20 1 1 0,9
>> 25 1 0,0068 0,008128 0 0 1 1 0 20 1 1 0,9
>> 26 1 0,0136 0,016256 0 0 1 1 0 20 1 1 0,9
>> 27 1 0,0238 0,028448 0 0 1 1 0 20 1 1 0,9
>> 28 1 0,112948 0,135006 0 0 1 1 0 20 1 1 0,9
>> 29 1 0,02176 0,02601 0 0 1 1 0 20 1 1 0,9
>> 30 1 0 0 0 0 1 1 0 20 1 1 0,9
>> 31 1 0,01768 0,021133 0 0 1 1 0 20 1 1 0,9
>> 32 1 0,05168 0,061773 0 0 1 1 0 20 1 1 0,9
>> 33 1 0,03468 0,041453 0 0 1 1 0 20 1 1 0,9
>> 34 1 0,02856 0,034138 0 0 1 1 0 20 1 1 0,9
>> 35 1 0,0272 0,032512 0 0 1 1 0 20 1 1 0,9
>> 36 1 0,01768 0,021133</fon
>>
>

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