The branch loss in Result Parameters are different from console output

[Shapeno]

I tried this case in V2.10.1 , and it works well.

import pandapower as pp
net = pp.create_empty_network()

#create buses
bus1 = pp.create_bus(net, vn_kv=220.)
bus2 = pp.create_bus(net, vn_kv=110.)
bus3 = pp.create_bus(net, vn_kv=110.)
bus4 = pp.create_bus(net, vn_kv=110.)

#create 220/110 kV transformer
pp.create_transformer(net, bus1, bus2, std_type="100 MVA 220/110 kV")

#create 110 kV lines
pp.create_line(net, bus2, bus3, length_km=70., std_type='149-AL1/24-ST1A 110.0')
pp.create_line(net, bus3, bus4, length_km=50., std_type='149-AL1/24-ST1A 110.0')
pp.create_line(net, bus4, bus2, length_km=40., std_type='149-AL1/24-ST1A 110.0')

#create loads
pp.create_load(net, bus2, p_mw=60., controllable = False)
pp.create_load(net, bus3, p_mw=70., controllable = False)
pp.create_load(net, bus4, p_mw=10., controllable = False)

#create generators
eg = pp.create_ext_grid(net, bus1, min_p_mw = -1e6, max_p_mw = 1e6)
g0 = pp.create_gen(net, bus3, p_mw=0, min_p_mw=0., max_p_mw=80.,vm_pu=1.01, controllable=True)
g1 = pp.create_gen(net, bus4, p_mw=0, min_p_mw=0., max_p_mw=100., vm_pu=1.01, controllable=True)

costeg = pp.create_poly_cost(net, 0, 'ext_grid', 1)
costgen1 = pp.create_poly_cost(net, 0, 'gen', 1)
costgen2 = pp.create_poly_cost(net, 1, 'gen', 1)

pp.runopp(net, verbose=True)

However, I found branch loss in Result Parameters are different from console output.

---

• console outputs:
  reactive power consumption of lines are 0.00, 0.00, 0.01.

================================================================================
|     Branch Data                                                              |
================================================================================
Brnch   From   To    From Bus Injection   To Bus Injection     Loss (I^2 * Z)  
  #     Bus    Bus    P (MW)   Q (MVAr)   P (MW)   Q (MVAr)   P (MW)   Q (MVAr)
-----  -----  -----  --------  --------  --------  --------  --------  --------
   0      1      2     -1.27     -1.18      1.28     -1.14     0.002      0.00
   1      2      3     -0.08     -0.83      0.08     -0.83     0.000      0.00
   2      3      1      2.33     -0.62     -2.33     -0.70     0.003      0.01
   3      0      1     56.53      1.98    -56.40      1.88     0.083      3.84
                                                             --------  --------
                                                    Total:     0.088      3.85

• net.res_line:
  reactive power consumption of lines are -2.320812,-1.663050,-1.321093

	p_from_mw	q_from_mvar	p_to_mw	q_to_mvar	pl_mw	_qlmvar
0	-1.274188	-1.181771	1.276017	-1.139041	0.001828	-2.320812
1	-0.079838	-0.831672	0.079844	-0.831378	0.000005	-1.663050
2	2.332971	-0.620909	-2.329480	-0.700184	0.003492	-1.321093

Except the reactive power consumption, other outputs are the same.

[SteffenMeinecke]

Hi @Shapeno , @lthurner, I think, the console output of ql_mvar via verbose=True is wrong and the pandapower result in net.res_line is correct. The console output is based on pypower code. https://github.com/e2nIEE/pandapower/blob/develop/pandapower/pypower/printpf.py#L165-L167 results in a difference of q_from_mvar and q_to_mvar instead of a sum...

[KS-HTK]

With the current development version of pandapower I get an OPFNotConverged: Optimal Power Flow did not converge! for the example code given here.