{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "130754b2",
   "metadata": {},
   "source": [
    "# Export a grid model from PowerFactory to pandapower"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "43eb18ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pytest\n",
    "\n",
    "from pandapower.converter.powerfactory.validate import validate_pf_conversion\n",
    "from pandapower.converter.powerfactory.export_pfd_to_pp import import_project, from_pfd\n",
    "import logging\n",
    "logger = logging.getLogger(__name__)\n",
    "logger.setLevel(\"INFO\")\n",
    "\n",
    "from pandapower.converter import powerfactory as pf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fece74b",
   "metadata": {},
   "source": [
    "## Make sure that the Python path contains the PowerFactory Python folder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b2cc19fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\mmilovic\\\\Documents\\\\Python Scripts\\\\pandapower'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.environ['PYTHONPATH']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6711283",
   "metadata": {},
   "source": [
    "## Start PowerFactory in Engine Mode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1b0915b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#app = pf.GetApplication()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0a52cfae",
   "metadata": {},
   "outputs": [],
   "source": [
    "#app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d0e21c90",
   "metadata": {},
   "outputs": [],
   "source": [
    "#app.Show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "414cfe21",
   "metadata": {},
   "source": [
    "## Export a grid model from PowerFactory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "abd4de78",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#net = from_pfd(app, prj_name=\"PFExample\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48e926f9",
   "metadata": {},
   "source": [
    "## Compare the power flow results in PowerFactory and pandapower"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5a03212c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#all_diffs=validate_pf_conversion(net, tolerance_mva=1e-9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e3895c0d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#all_diffs['diff_vm'].describe()"
   ]
  }
 ],
 "metadata": {
  "execution": {
   "allow_errors": true,
   "timeout": 300
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}