KeyError: max_p_kw

[joelmac]

Hi,

I'm attempting to go through the tutorials on the website including the basic power flow tutorial.

I have just upgraded to pandapower 1.3.1 as a suggestion from a previous bug.

I have pandapower version 1.3.1 and pandas version 0.20.2.

The following is the error I'm receiving after following the steps in the tutorial:

`archimedes@archimedes-desktop:~/PandaConvNet$ python3 Python 3.5.3 (default, Jan 19 2017, 14:11:04) [GCC 6.3.0 20170118] on linux Type "help", "copyright", "credits" or "license" for more information.

import pandapower fr>>> from pandapower import networks as nn import pandas import pypower net = nn.example_simple() net.bus name vn_kv type zone in_service 0 HV Busbar 110.0 b None True 1 HV Busbar 2 110.0 b None True 2 HV Transformer Bus 110.0 n None True 3 MV Transformer Bus 20.0 n None True 4 MV Main Bus 20.0 b None True 5 MV Bus 1 20.0 b None True 6 MV Bus 2 20.0 b None True net.gen name bus p_kw vm_pu sn_kva min_q_kvar max_q_kvar scaling \ 0 generator 5 -6000.0 1.03 NaN -3000.0 3000.0 1.0

in_service type 0 True None

pandapower.runopp(net,verbose=True) Traceback (most recent call last): File "/home/archimedes/.local/lib/python3.5/site-packages/pandas/core/indexes/base.py", line 2442, in get_loc return self._engine.get_loc(key) File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5280) File "pandas/_libs/index.pyx", line 154, in pandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5126) File "pandas/_libs/hashtable_class_helper.pxi", line 1210, in pandas._libs.hashtable.PyObjectHashTable.get_item (pandas/_libs/hashtable.c:20523) File "pandas/_libs/hashtable_class_helper.pxi", line 1218, in pandas._libs.hashtable.PyObjectHashTable.get_item (pandas/_libs/hashtable.c:20477) KeyError: 'max_p_kw'

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "", line 1, in File "/home/archimedes/.local/lib/python3.5/site-packages/pandapower/run.py", line 292, in runopp _optimal_powerflow(net, verbose, suppress_warnings, *kwargs) File "/home/archimedes/.local/lib/python3.5/site-packages/pandapower/optimal_powerflow.py", line 38, in _optimal_powerflow ppc, ppci = _pd2ppc(net) File "/home/archimedes/.local/lib/python3.5/site-packages/pandapower/pd2ppc.py", line 89, in _pd2ppc _build_gen_ppc(net, ppc) File "/home/archimedes/.local/lib/python3.5/site-packages/pandapower/build_gen.py", line 22, in _build_gen_ppc _build_gen_opf(net, ppc) File "/home/archimedes/.local/lib/python3.5/site-packages/pandapower/build_gen.py", line 355, in _build_gen_opf _copy_p_limits_to_ppc(net, ppc, eg_end, gen_end, _is_elements['gen']) File "/home/archimedes/.local/lib/python3.5/site-packages/pandapower/build_gen.py", line 373, in _copy_p_limits_to_ppc ppc["gen"][eg_end:gen_end, PMIN] = -net["gen"]["max_p_kw"].values[gen_is_mask] 1e-3 + delta File "/home/archimedes/.local/lib/python3.5/site-packages/pandas/core/frame.py", line 1964, in getitem return self._getitem_column(key) File "/home/archimedes/.local/lib/python3.5/site-packages/pandas/core/frame.py", line 1971, in _getitem_column return self._get_item_cache(key) File "/home/archimedes/.local/lib/python3.5/site-packages/pandas/core/generic.py", line 1645, in _get_item_cache values = self._data.get(item) File "/home/archimedes/.local/lib/python3.5/site-packages/pandas/core/internals.py", line 3590, in get loc = self.items.get_loc(item) File "/home/archimedes/.local/lib/python3.5/site-packages/pandas/core/indexes/base.py", line 2444, in get_loc return self._engine.get_loc(self._maybe_cast_indexer(key)) File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5280) File "pandas/_libs/index.pyx", line 154, in pandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5126) File "pandas/_libs/hashtable_class_helper.pxi", line 1210, in pandas._libs.hashtable.PyObjectHashTable.get_item (pandas/_libs/hashtable.c:20523) File "pandas/_libs/hashtable_class_helper.pxi", line 1218, in pandas._libs.hashtable.PyObjectHashTable.get_item (pandas/_libs/hashtable.c:20477) KeyError: 'max_p_kw'

pandapower.version '1.3.1' pandas.version '0.20.2' `

pandapower 1.3.1 was installed using the pip3 tool.

archimedes@archimedes-desktop:~/PandaConvNet$ pip3 check pandapower No broken requirements found.

There are my installed pip3 modules:

`archimedes@archimedes-desktop:~/PandaConvNet$ pip3 list --format=columns Package Version

---

appdirs 1.4.3 apturl 0.5.2 beautifulsoup4 4.5.3 bleach 2.0.0 blinker 1.3 boto 2.47.0 Brlapi 0.6.5 bz2file 0.98 certifi 2017.4.17 chardet 3.0.4 checkbox-support 0.22 command-not-found 0.3 conda 4.3.16 cryptography 1.7.1 cycler 0.10.0 Cython 0.25.2 decorator 4.0.11 defer 1.0.6 distro-info 0.14build1 dropbox 7.3.1 entrypoints 0.2.2 feedparser 5.1.3 gensim 2.1.0 guacamole 0.9.2 html5lib 0.999999999 httplib2 0.9.2 idna 2.5 ipykernel 4.6.1 ipython 6.1.0 ipython-genutils 0.2.0 ipywidgets 6.0.0 jedi 0.10.2 Jinja2 2.9.6 jsonschema 2.6.0 jupyter 1.0.0 jupyter-client 5.0.1 jupyter-console 5.1.0 jupyter-core 4.3.0 kegra 0.0.1 Keras 2.0.4 keyring 10.3.1 keyrings.alt 2.2 language-selector 0.1 launchpadlib 1.10.4 lazr.restfulclient 0.13.4 lazr.uri 1.0.3 llvmlite 0.18.0 louis 3.0.0 lxml 3.7.3 Mako 1.0.6 MarkupSafe 1.0 matplotlib 2.0.2 mistune 0.7.4 mysql-connector-python 2.1.5 nbconvert 5.2.1 nbformat 4.3.0 networkx 1.11 notebook 5.0.0 numba 0.33.0 numpy 1.13.0 oauth 1.0.1 oauthlib 2.0.1 onboard 1.4.1 packaging 16.8 padme 1.1.1 pandapower 1.3.1 pandas 0.20.2 pandocfilters 1.4.1 pbr 3.1.1 pexpect 4.2.1 pickleshare 0.7.4 Pillow 4.0.0 pip 9.0.1 plainbox 0.25 prompt-toolkit 1.0.14 protobuf 3.3.0 psutil 5.0.1 ptyprocess 0.5.1 pyasn1 0.1.9 pycosat 0.6.1 pycrypto 2.6.1 pycups 1.9.73 pyfiglet 0.7.5 Pygments 2.2.0 pygobject 3.22.0 PyJWT 1.4.2 pyparsing 2.2.0 PYPOWER 5.1.2 python-apt 1.4.0b2 python-dateutil 2.6.0 python-debian 0.1.30 pytz 2017.2 pyxdg 0.25 PyYAML 3.12 pyzmq 16.0.2 qtconsole 4.3.0 reportlab 3.3.0 requests 2.18.1 ruamel.yaml 0.15.9 scikit-learn 0.18.1 scipy 0.19.1 screen-resolution-extra 0.0.0 SecretStorage 2.3.1 sessioninstaller 0.0.0 setuptools 36.0.1 simplegeneric 0.8.1 simplejson 3.10.0 six 1.10.0 smart-open 1.5.3 ssh-import-id 5.6 system-service 0.3 systemd-python 233 tensorflow-gpu 1.1.0 terminado 0.6 testpath 0.3.1 testresources 2.0.1 Theano 0.9.0 tornado 4.5.1 traitlets 4.3.2 ubuntu-drivers-common 0.0.0 ufw 0.35 unattended-upgrades 0.1 unity-scope-calculator 0.1 unity-scope-chromiumbookmarks 0.1 unity-scope-colourlovers 0.1 unity-scope-devhelp 0.1 unity-scope-firefoxbookmarks 0.1 unity-scope-gdrive 0.7 unity-scope-manpages 0.1 unity-scope-openclipart 0.1 unity-scope-texdoc 0.1 unity-scope-tomboy 0.1 unity-scope-virtualbox 0.1 unity-scope-yelp 0.1 unity-scope-zotero 0.1 urllib3 1.21.1 usb-creator 0.3.3 wadllib 1.3.2 wcwidth 0.1.7 webencodings 0.5.1 Werkzeug 0.12.2 wheel 0.29.0 widgetsnbextension 2.0.0 xdiagnose 3.8.5 xkit 0.0.0 XlsxWriter 0.9.6 zope.interface 4.3.2 `

[joelmac]

How do I resolve this issue?

[friederikemeier]

Hi, what exactly should the OPF do in this case? Before running an OPF you need to specify some operational constraints and variables like the "max_p_kw" for generators. This example will work:

import pandapower as pp
from pandapower import networks as nn
net = nn.example_simple()
net.gen["max_p_kw"] = net.gen.p_kw
net.gen["min_p_kw"] = net.gen.p_kw*2
net.load["controllable"] = False
net.sgen["controllable"] = False
pp.create_polynomial_cost(net, 0, "gen", np.array([[-1 ,0]]))
net.bus["max_vm_pu"] = 1.025
net.bus["min_vm_pu"] = .975
pp.runopp(net,verbose=True)
print(net.res_gen)
print(net.res_bus)

You could also have a look at our OPF tutorial: https://github.com/lthurner/pandapower/blob/master/tutorials/opf_basic.ipynb If you have further questions, feel free to ask!

Hope this helps. Kind regards!

[friederikemeier]

Also, could you please let us know, which tutorial you were using? So we can improve it ;)

[lthurner]

Maybe it would also be helpful to check for all constraints that have to be defined and raise an exception if they don't exist, e.g. "Please specify maximum active power for the generator in net.gen.max_p_kw" so that the user knows this is not a bug but that the value has to be specified.

[joelmac]

https://github.com/lthurner/pandapower/blob/develop/tutorials/powerflow.ipynb

Now I see though the command was runpp, not runopp. Thank you for helping me promptly though. I very much appreciate it.

I second the suggestion by lthurner above.

[friederikemeier]

Yes, that's a good idea. I will add the checks.

[friederikemeier]

While adding the checks, I figured that max_p_kw and min_p_kw are by definition optional parameters, that should be set to +- p_lim_default when not specified. I would add a check to build_gen, if max_p_kw is in net.gen.columns and copy the p_lim_default to the ppc in this case. If I do this, all tests still pass. Your case OPF example here would still not converge, but the error would be a different one.

What are the opinions? Should max_p_kw be optional?

[lthurner]

sgen and load should not be controllable by default, because static generators and loads are not normally controllable. If the controllable column does not exist, it is assumed that all elements are static. Limits should have to be set for gens, sgens and loads, but not for ext_grids.