Dear friends, i scaled the values of branches' susceptances by 100, and now
power losses are definitely lower:

- Network 1 (198 buses, 204 branches, 4 generators) : 11 kW of losses, in
front of 4,91 MW of loads;

- Network 2 (966 buses, 975 branches, 28 generators) : 1,12 MW of losses,
in front of 23,24 MW of loads;

Do you think these values are acceptable for a MV network (baseMVA = 10 ;
baseKV = 20)?

Thank you again,

Marco Barbetta

2014-12-01 23:27 GMT+01:00 Marco Barbetta <[email protected]>:

> I agree with you, but these data were given to me by "official sources",
> so i thought they were exact.
> I will try to scale values of susceptance by 10, in order to see what
> happen.
>
> I'll keep you informed. Thank you for your help.
>
> Marco Barbetta
>
> 2014-12-01 23:07 GMT+01:00 Carlos E Murillo-Sanchez <
> [email protected]>:
>
>>  Actually, the capacitive susceptance seems to be way too high (at least
>> an order of magnitude, perhaps even more considering it is an MV network)
>> for the given R and X.
>>
>> Carlos.
>>
>> Marco Barbetta wrote:
>>
>> Yes, i report a little part of mpc.branch (F_BUS , T_BUS , BR_R , BR_X
>> , BR_B):
>>
>>  1 605 0,0162000000000000 0,00930000000000000 0,157600000000000
>> 1 76 0,000800000000000000 0,000600000000000000 0,0880000000000000
>> 1 196 0,00240000000000000 0,00260000000000000 0,158200000000000
>> 1 375 0,00570000000000000 0,00910000000000000 0,0993000000000000
>> 1 5 0,000300000000000000 0,000300000000000000 0,0385000000000000
>> 1 62 0,00150000000000000 0,000900000000000000 0,128200000000000
>> 1 9 0,00520000000000000 0,00150000000000000 0,131400000000000
>> 9 12 0,00420000000000000 0,00110000000000000 0,0822000000000000
>> 9 16 0,00370000000000000 0,000700000000000000 0,0465000000000000
>> 16 19 0,00370000000000000 0,000700000000000000 0,0465000000000000
>> 19 58 0,00220000000000000 0,000600000000000000 0,0438000000000000
>> 19 22 0,00330000000000000 0,000600000000000000 0,0418000000000000
>> 22 54 0,00350000000000000 0,000900000000000000 0,0685000000000000
>> 22 25 0,00690000000000000 0,00190000000000000 0,163100000000000
>> 25 31 0,000100000000000000 0,000100000000000000 0,00300000000000000
>> 25 28 0,0126000000000000 0,00250000000000000 0,160400000000000
>> 31 34 0,000100000000000000 0,000100000000000000 0,00300000000000000
>> 34 37 0,00810000000000000 0,00230000000000000 0,192800000000000
>> 34 50 0,00250000000000000 0,000700000000000000 0,0493000000000000
>> 37 46 0,00560000000000000 0,00140000000000000 0,109600000000000
>>
>>  Values seem to be "normal"...
>>
>>
>>
>

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