Included ODE based Tx line equations

andes/cases/SMIB_Chow/Save_data.ipynb

@@ -0,0 +1,204 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import andes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Working directory: \"/home/aaliqureshi/andes/andes/cases/SMIB_Chow\"\n",
+      "> Loaded config from file \"/home/aaliqureshi/.andes/andes.rc\"\n",
+      "> Loaded generated Python code in \"/home/aaliqureshi/.andes/pycode\".\n",
+      "Generated code for <PQ> is stale.\n",
+      "Numerical code generation (rapid incremental mode) started...\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Generating code for 1 models on 8 processes.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Saved generated pycode to \"/home/aaliqureshi/.andes/pycode\"\n",
+      "> Reloaded generated Python code of module \"pycode\".\n",
+      "Generated numerical code for 1 models in 0.1786 seconds.\n",
+      "Parsing input file \"./SMIB_RL_Line.xlsx\"...\n",
+      "Input file parsed in 0.4110 seconds.\n",
+      "System internal structure set up in 0.0289 seconds.\n",
+      "-> System connectivity check results:\n",
+      "  No islanded bus detected.\n",
+      "  System is interconnected.\n",
+      "  Each island has a slack bus correctly defined and enabled.\n",
+      "\n",
+      "-> Power flow calculation\n",
+      "           Numba: Off\n",
+      "   Sparse solver: KLU\n",
+      " Solution method: NR method\n",
+      "Power flow initialized in 0.0045 seconds.\n",
+      "0: |F(x)| = 0.9236039498\n",
+      "1: |F(x)| = 0.1578673997\n",
+      "2: |F(x)| = 0.0019952715\n",
+      "3: |F(x)| = 3.351401032e-07\n",
+      "Converged in 4 iterations in 0.0052 seconds.\n",
+      "Report saved to \"SMIB_RL_Line_out.txt\" in 0.0008 seconds.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "-> Single process finished in 0.9327 seconds.\n"
+     ]
+    }
+   ],
+   "source": [
+    "ss = andes.run(\"./SMIB_RL_Line.xlsx\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ss.TDS.config.tf = 15"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "-> Time Domain Simulation Summary:\n",
+      "Sparse Solver: KLU\n",
+      "Simulation time: 0.0-15 s.\n",
+      "Fixed step size: h=33.33 ms. Shrink if not converged.\n",
+      "Initialization for dynamics completed in 0.0259 seconds.\n",
+      "Initialization was successful.\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "39ef888f0aa44a73835f1938100ac2da",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/100 [00:00<?, ?%/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<Fault Fault_1>: Applying fault on Bus (idx=3) at t=6.0 sec.\n",
+      "<Fault Fault_1>: Clearing fault on Bus (idx=3) at t=6.1 sec.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Simulation to t=15.00 sec completed in 0.3628 seconds.\n",
+      "Outputs to \"SMIB_RL_Line_out.lst\" and \"SMIB_RL_Line_out.npz\".\n",
+      "Outputs written in 0.0026 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ss.TDS.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "CSV data saved to \"ANDES_Chow_Out_RL_Line.csv\".\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'ANDES_Chow_Out_RL_Line.csv'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ss.TDS.plt.export_csv(\"ANDES_Chow_Out_RL_Line.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "andes",
+   "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": "3.8.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}