{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# IEEE European Low Voltage Test Feeder: \n", "\n", "http://sites.ieee.org/pes-testfeeders/resources/\n", "\n", "The current IEEE test cases are focused on North American style systems; however it is common outside of North America to see low-voltage distribution systems, both radial and meshed. It is important to make sure that tools support both dominant styles of distribution system configuration. This test case seeks to fill a benchmark gap by presenting a number of common low-voltage configurations. This circuit also introduces quasi-static time series simulations.\n", "\n", "IEEE European LV network is a generic 0.416 kV network serviced by one 0.8 MVA MV/LV transformer and a 11kV external grid. The network supplies 906 LV buses and 55 1-PH loads.\n", "\n", "\n", "# Time Series data from Benchmark dataset\n", "In this example the time series data from benchmark is used to perform a time series load flow analysis\n", "in pandapower\n", "\n", "The network data from csv is used to create Powerfactory and pandapower networks.\n", "\n", "The Sum total of power and maximum voltage is plotted with respect to 1440 time steps( 1 min interval) during the day:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2024-03-31T08:45:24.845535Z", "start_time": "2024-03-31T08:45:21.855957Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "LightSimBackend import error: No module named 'grid2op'\n", "PhysicalLawChecker import error: No module named 'grid2op'\n", "TimeSerie import error: cannot import name 'TimeSerie' from 'lightsim2grid.timeSerie' (C:\\ProgramData\\miniconda3\\envs\\py3.11\\Lib\\site-packages\\lightsim2grid\\timeSerie.py)\n", "ContingencyAnalysis import error: cannot import name 'ContingencyAnalysis' from 'lightsim2grid.contingencyAnalysis' (C:\\ProgramData\\miniconda3\\envs\\py3.11\\Lib\\site-packages\\lightsim2grid\\contingencyAnalysis.py)\n", "rewards import error: No module named 'grid2op'\n" ] } ], "source": [ "import os\n", "import numpy as np\n", "import pandas as pd\n", "import tempfile\n", "import pandapower as pp\n", "from pandapower.control import ConstControl\n", "from pandapower.timeseries import DFData\n", "from pandapower.timeseries import OutputWriter\n", "from pandapower.timeseries.run_time_series import run_timeseries\n", "from pandapower.networks import ieee_european_lv_asymmetric\n", "from pandapower import pp_dir\n", "parent = os.path.join(pp_dir,'test','test_files')\n", "path = os.path.join(parent, \"European_LV_CSV\")\n", "load_path = os.path.join(path, \"Load_Profiles\")\n", "def remove_comments(f):\n", " '''Pass comments'''\n", " start=f.seek(0)\n", " for index in range(5):\n", " start=f.tell()\n", " if f.readline().startswith('#'):\n", " continue\n", " else:\n", " break \n", " f.seek(start)\n", " return f\n", "\n", "load_csv = os.path.join(path, \"Loads.csv\")\n", "\n", "with open (load_csv,'r') as f:\n", " f = remove_comments(f)\n", " loads = pd.read_csv(f)\n", " f.close()\n", "\n", "load_shapes = os.path.join(path, \"LoadShapes.csv\") \n", " \n", "with open (load_shapes,'r') as f:\n", " f = remove_comments(f)\n", " loadshapes = pd.read_csv(f)\n", " f.close()" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2024-03-31T08:45:26.455134Z", "start_time": "2024-03-31T08:45:24.847529Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "The number of given colors (1) is smaller than the number of nodes (907) to draw! The colors will be repeated to fit.\n" ] }, { "data": { "text/plain": "" }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": "
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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandapower.plotting as plot\n", "net = ieee_european_lv_asymmetric('on_peak_566')\n", "%matplotlib inline\n", "import numpy as np\n", "try:\n", " import seaborn\n", " colors = seaborn.color_palette()\n", "except:\n", " colors = [\"b\", \"g\", \"r\", \"c\", \"y\"]\n", "\n", "sizes = plot.get_collection_sizes(net)\n", "\n", "bc = plot.create_bus_collection(net, net.bus.index, size=sizes['bus'], color=colors[0], zorder=10)\n", "tlc, tpc = plot.create_trafo_collection(net, net.trafo.index, color=\"c\",size=sizes['trafo'])\n", "lcd = plot.create_line_collection(net, net.line.index, color=\"grey\", linewidths=0.5, use_bus_geodata=True)\n", "sc = plot.create_ext_grid_collection(net, ext_grid_buses=net.ext_grid.bus.values, size=sizes['ext_grid'], color=\"c\", zorder=11)\n", "ldA = plot.create_bus_collection(net, net.asymmetric_load.bus.values[np.where(net.asymmetric_load.p_a_mw >0)], patch_type=\"poly3\", size=sizes['bus'], color=\"r\", zorder=11)\n", "ldB = plot.create_bus_collection(net, net.asymmetric_load.bus.values[np.where(net.asymmetric_load.p_b_mw >0)], patch_type=\"rect\", size=sizes['bus'], color=\"y\", zorder=11)\n", "ldC = plot.create_bus_collection(net, net.asymmetric_load.bus.values[np.where(net.asymmetric_load.p_c_mw >0)], patch_type=\"circle\", size=sizes['bus'], color=\"g\", zorder=11)\n", "plot.draw_collections([lcd, bc, tlc, tpc, sc,ldA,ldB,ldC], figsize=(10,7))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "- Cyan rectangle is External Grid and circle is the transformer\n", "- Red triangles, yellow rectangles and green dots represent A,B,C phase loads respectively\n", "- blue dots are buses\n", "- grey lines are power lines.\n", "\n", "\n", "# Time-series calculation\n", "\n", "Function to load time series data and perform time-series **three phase load flow**" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2024-03-31T08:45:26.464171Z", "start_time": "2024-03-31T08:45:26.456304Z" } }, "outputs": [], "source": [ "def timeseries_example(output_dir):\n", " # 1. create test net\n", " net = ieee_european_lv_asymmetric('on_peak_566')\n", " pp.runpp_3ph(net)\n", " # 2. create data source for loads\n", " profiles, ds = create_data_source()\n", " # 3. create controllers (to control P values of the load and the sgen)\n", " net = create_controllers(net, ds)\n", "\n", " # time steps to be calculated. Could also be a list with non-consecutive time steps\n", " time_steps = range(0, 672)\n", " print(time_steps)\n", "\n", " # 4. the output writer with the desired results to be stored to files.\n", " ow = create_output_writer(net, time_steps, output_dir)\n", "\n", " # 5. the main time series function\n", " run_timeseries(net, time_steps, output_writer=ow, run=pp.runpp_3ph, continue_on_divergence=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data source\n", "Data taken from csv data provided in IEEE benchmark grid" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2024-03-31T08:45:26.477896Z", "start_time": "2024-03-31T08:45:26.466668Z" } }, "outputs": [], "source": [ "def create_data_source():\n", " profiles = pd.DataFrame()\n", " for loadprofile,file in (loadshapes[['Name','File']].values):\n", " file_path = os.path.join(load_path, file)\n", " profiles[loadprofile] = pd.read_csv(file_path).mult.values * 1e-3 \n", " profiles[loadprofile+'_Q'] = profiles[loadprofile] * np.tan(\n", " np.arccos(float(loads[loads.Yearly==loadprofile].PF.values))) \n", " ds = DFData(profiles)\n", " return profiles, ds" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Time series controller\n", "P, Q values entered using P and power factor(cos_phi) data" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2024-03-31T08:45:26.504023Z", "start_time": "2024-03-31T08:45:26.479905Z" } }, "outputs": [], "source": [ "def create_controllers(net, ds):\n", " ConstControl(net, element='asymmetric_load', variable='p_a_mw', element_index=loads[loads['phases']=='A'].index,\n", " data_source=ds, profile_name=loads[loads['phases']=='A'].Yearly)\n", " ConstControl(net, element='asymmetric_load', variable='q_a_mvar', element_index=loads[loads['phases']=='A'].index,\n", " data_source=ds, profile_name=loads[loads['phases']=='A'].Yearly+'_Q')\n", " \n", " ConstControl(net, element='asymmetric_load', variable='p_b_mw', element_index=loads[loads['phases']=='B'].index,\n", " data_source=ds, profile_name=loads[loads['phases']=='B'].Yearly)\n", " ConstControl(net, element='asymmetric_load', variable='q_b_mvar', element_index=loads[loads['phases']=='B'].index,\n", " data_source=ds, profile_name=loads[loads['phases']=='B'].Yearly+'_Q')\n", " \n", " ConstControl(net, element='asymmetric_load', variable='p_c_mw', element_index=loads[loads['phases']=='C'].index,\n", " data_source=ds, profile_name=loads[loads['phases']=='C'].Yearly)\n", " ConstControl(net, element='asymmetric_load', variable='q_c_mvar', element_index=loads[loads['phases']=='C'].index,\n", " data_source=ds, profile_name=loads[loads['phases']=='C'].Yearly+'_Q') \n", " return net\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Format output\n", "- Maximum bus voltage magnitude for each time step\n", "- Aggregated Sum of P & Q values for each time step" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2024-03-31T08:45:26.517095Z", "start_time": "2024-03-31T08:45:26.506033Z" } }, "outputs": [], "source": [ "def create_output_writer(net, time_steps, output_dir):\n", " ow = OutputWriter(net, time_steps, output_path=output_dir, output_file_type=\".json\")\n", " ow.log_variable('res_trafo_3ph', 'p_a_lv_mw', index=net.trafo.index)\n", " ow.log_variable('res_trafo_3ph', 'p_b_lv_mw', index=net.trafo.index)\n", " ow.log_variable('res_trafo_3ph', 'p_c_lv_mw', index=net.trafo.index)\n", " ow.log_variable('res_trafo_3ph', 'q_a_lv_mvar', index=net.trafo.index)\n", " ow.log_variable('res_trafo_3ph', 'q_b_lv_mvar', index=net.trafo.index)\n", " ow.log_variable('res_trafo_3ph', 'q_c_lv_mvar', index=net.trafo.index)\n", " ow.log_variable('res_bus_3ph', 'vm_a_pu', index=[34]) # Load 1 Phase A \n", " ow.log_variable('res_bus_3ph', 'vm_b_pu', index=[899]) # Load 53 Phase B\n", " ow.log_variable('res_bus_3ph', 'vm_c_pu', index=[614]) # Load 32 Phase C\n", " ow.log_variable('res_bus_3ph', 'va_a_degree', index=[34]) # Load 1 Phase A \n", " ow.log_variable('res_bus_3ph', 'va_b_degree', index=[899]) # Load 53 Phase B\n", " ow.log_variable('res_bus_3ph', 'va_c_degree', index=[614]) # Load 32 Phase C\n", " return ow" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Main Function" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2024-03-31T08:50:52.725830Z", "start_time": "2024-03-31T08:45:26.519105Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Results can be found in your local temp folder: C:\\Users\\mvogt\\AppData\\Local\\Temp\\time_series_example\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\mvogt\\AppData\\Local\\Temp\\ipykernel_35356\\2778436689.py:5: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " profiles[loadprofile] = pd.read_csv(file_path).mult.values * 1e-3\n", "C:\\Users\\mvogt\\AppData\\Local\\Temp\\ipykernel_35356\\2778436689.py:6: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " profiles[loadprofile+'_Q'] = profiles[loadprofile] * np.tan(\n", "C:\\Users\\mvogt\\AppData\\Local\\Temp\\ipykernel_35356\\2778436689.py:5: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " profiles[loadprofile] = pd.read_csv(file_path).mult.values * 1e-3\n", "C:\\Users\\mvogt\\AppData\\Local\\Temp\\ipykernel_35356\\2778436689.py:6: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " profiles[loadprofile+'_Q'] = profiles[loadprofile] * np.tan(\n", "C:\\Users\\mvogt\\AppData\\Local\\Temp\\ipykernel_35356\\2778436689.py:5: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " profiles[loadprofile] = pd.read_csv(file_path).mult.values * 1e-3\n", "C:\\Users\\mvogt\\AppData\\Local\\Temp\\ipykernel_35356\\2778436689.py:6: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " profiles[loadprofile+'_Q'] = profiles[loadprofile] * np.tan(\n", "C:\\Users\\mvogt\\AppData\\Local\\Temp\\ipykernel_35356\\2778436689.py:5: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " profiles[loadprofile] = pd.read_csv(file_path).mult.values * 1e-3\n", "C:\\Users\\mvogt\\AppData\\Local\\Temp\\ipykernel_35356\\2778436689.py:6: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " profiles[loadprofile+'_Q'] = profiles[loadprofile] * np.tan(\n", "C:\\Users\\mvogt\\AppData\\Local\\Temp\\ipykernel_35356\\2778436689.py:5: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " profiles[loadprofile] = pd.read_csv(file_path).mult.values * 1e-3\n", "C:\\Users\\mvogt\\AppData\\Local\\Temp\\ipykernel_35356\\2778436689.py:6: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n", " profiles[loadprofile+'_Q'] = profiles[loadprofile] * np.tan(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "range(0, 672)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "deprecated: output_writer should not be given to run_timeseries(). This overwrites the stored one in net.output_writer.\n", "100%|██████████| 672/672 [05:20<00:00, 2.10it/s]\n" ] } ], "source": [ "output_dir = os.path.join(tempfile.gettempdir(), \"time_series_example\")\n", "print(\"Results can be found in your local temp folder: {}\".format(output_dir))\n", "if not os.path.exists(output_dir):\n", " os.mkdir(output_dir)\n", "timeseries_example(output_dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Importing data for plotting\n", "A pandas dataframe is made from the output '.json' file\n", "This dataframe will be used for plotting results using matplotlib\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2024-03-31T08:50:52.824268Z", "start_time": "2024-03-31T08:50:52.728843Z" } }, "outputs": [], "source": [ "output_dir = os.path.join(tempfile.gettempdir(), \"time_series_example\")\n", "# Power Values from secondary of the transformer\n", "PA = os.path.join(output_dir,'res_trafo_3ph','p_a_lv_mw.json')\n", "PB = os.path.join(output_dir,'res_trafo_3ph','p_b_lv_mw.json')\n", "PC = os.path.join(output_dir,'res_trafo_3ph','p_c_lv_mw.json')\n", "QA = os.path.join(output_dir,'res_trafo_3ph','q_a_lv_mvar.json')\n", "QB = os.path.join(output_dir,'res_trafo_3ph','q_b_lv_mvar.json')\n", "QC = os.path.join(output_dir,'res_trafo_3ph','q_c_lv_mvar.json')\n", "\n", "#pandapower Results\n", "df_pp = pd.read_json(PA)*-1e3\n", "df_pp['PB'] = pd.read_json(PB)*-1e3\n", "df_pp['PC'] = pd.read_json(PC)*-1e3\n", "df_pp['P_SUM'] = df_pp.sum(axis=1)\n", "df_pp = df_pp.rename(columns={0:'PA'}) \n", "\n", "df_pq = pd.read_json(QA)*-1e3\n", "df_pq['QB'] = pd.read_json(QB)*-1e3\n", "df_pq['QC'] = pd.read_json(QC)*-1e3\n", "df_pq = df_pq.rename(columns={0:'QA'})\n", "df_pp['Q_SUM'] = df_pq.sum(axis=1)\n", "\n", "\n", "#The magnitude of voltage at LOAD1 (phase A), LOAD32 (phase C), and LOAD53 (phase B) over the one-day period are shown \n", "pp_va = os.path.join(output_dir,'res_bus_3ph','vm_a_pu.json')\n", "pp_vb = os.path.join(output_dir,'res_bus_3ph','vm_b_pu.json')\n", "pp_vc = os.path.join(output_dir,'res_bus_3ph','vm_c_pu.json')\n", "\n", "#pandapower Results\n", "df_pp_v = pd.read_json(pp_va)*(416/np.sqrt(3))\n", "df_pp_v['VB'] = pd.read_json(pp_vb)*(416/np.sqrt(3))\n", "df_pp_v['VC'] = pd.read_json(pp_vc)*(416/np.sqrt(3))\n", "df_pp_v= df_pp_v.rename(columns={34: \"VA\"})\n", "\n", "# This is required since json makes keys as string type, the index order is like 1, 10, 100 ,...\n", "df_pp_v.index = df_pp_v.index.astype(np.int64)\n", "df_pp_v = df_pp_v.sort_index()\n", "\n", "df_pp.index = df_pp.index.astype(np.int64)\n", "df_pp = df_pp.sort_index()\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Plotting Results\n", "\n", "The following data is generated :\n", "- pandapower voltage and power (time-series values)\n", "- OpenDSS voltage and power (not executed here)\n", "- Difference between pandapower OpenDSS (time-series values)\n", "\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2024-03-31T08:50:53.608973Z", "start_time": "2024-03-31T08:50:52.827282Z" } }, "outputs": [ { "data": { "text/plain": "Text(0.5, 1.0, 'Load Voltages (pandapower) / V')" }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": "
", "image/png": 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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "fig,ax1 = plt.subplots(1,1)\n", "df_pp_v.plot(kind='line', y=['VA','VB','VC'], ax=ax1, color=['blue','orange','green'],figsize=(10,5),legend = True)\n", "ax1.set_ylim((235,255))\n", "ax1.xaxis.set_label_text(\"time step\")\n", "ax1.yaxis.set_label_text(\"voltage mag. [Volts]\")\n", "ax1.set_title(\"Load Voltages (pandapower) / V\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "# Comparison with OpenDSS Solutions\n", "\n", "**Voltage values are taken from three loads of each phase :**\n", "\n", "Load #1 Phase A\n", "\n", "Load #53 Phase B\n", "\n", "Load #32 Phase C\n", "\n", "\n", "\n", "\n", "\n", "" ] } ], "metadata": { "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": "3.10.6" } }, "nbformat": 4, "nbformat_minor": 2 }