{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Batch Processing - Generate Cases\n", "\n", "This notebook demonstrates creating cases in batch and running them in parallel." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Create Cases in Batch\n", "\n", "The approach to create cases in batch following this procedure:\n", "\n", "- Load the base case from file\n", "- For each desired case output:\n", " * Alter parameters to the desired value\n", " * Save each system to a new case file" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:05.894045Z", "start_time": "2021-03-19T20:10:05.363546Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:41:50.942892Z", "iopub.status.busy": "2021-09-26T22:41:50.942345Z", "iopub.status.idle": "2021-09-26T22:41:51.715590Z", "shell.execute_reply": "2021-09-26T22:41:51.715193Z" } }, "outputs": [], "source": [ "import andes\n", "import numpy as np\n", "from andes.utils.paths import get_case\n", "\n", "andes.config_logger(stream_level=30) # brief logging" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:06.124151Z", "start_time": "2021-03-19T20:10:05.896304Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:41:51.720734Z", "iopub.status.busy": "2021-09-26T22:41:51.717913Z", "iopub.status.idle": "2021-09-26T22:41:52.058951Z", "shell.execute_reply": "2021-09-26T22:41:52.058641Z" } }, "outputs": [], "source": [ "# create directory for output cases\n", "!rm -rf batch_cases\n", "!mkdir -p batch_cases" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:06.755590Z", "start_time": "2021-03-19T20:10:06.126100Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:41:52.061457Z", "iopub.status.busy": "2021-09-26T22:41:52.061063Z", "iopub.status.idle": "2021-09-26T22:41:52.825888Z", "shell.execute_reply": "2021-09-26T22:41:52.826327Z" } }, "outputs": [], "source": [ "kundur = get_case('kundur/kundur_full.xlsx')\n", "ss = andes.load(kundur)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We demonstrate running the Kundur's system under different loading conditions.\n", "\n", "Cases are created by modifying the `p0` of `PQ` with `idx == PQ_0`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As always, input parameters can be inspected by accessing `Model.as_df(vin=True)`. " ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:06.759454Z", "start_time": "2021-03-19T20:10:06.757036Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:41:52.828532Z", "iopub.status.busy": "2021-09-26T22:41:52.827946Z", "iopub.status.idle": "2021-09-26T22:41:52.830947Z", "shell.execute_reply": "2021-09-26T22:41:52.831353Z" } }, "outputs": [], "source": [ "p0_base = ss.PQ.get('p0', \"PQ_0\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create 3 cases so that the load increases from `p0_base` to `1.2 * p0_base`." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:06.768649Z", "start_time": "2021-03-19T20:10:06.760828Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:41:52.833329Z", "iopub.status.busy": "2021-09-26T22:41:52.832750Z", "iopub.status.idle": "2021-09-26T22:41:52.835687Z", "shell.execute_reply": "2021-09-26T22:41:52.836134Z" } }, "outputs": [], "source": [ "N_CASES = 3 # Note: increase `N_CASES` as necessary\n", "\n", "p0_values = np.linspace(p0_base, 1.2 * p0_base, N_CASES)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:07.439213Z", "start_time": "2021-03-19T20:10:06.772000Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:41:52.838132Z", "iopub.status.busy": "2021-09-26T22:41:52.837533Z", "iopub.status.idle": "2021-09-26T22:41:53.650671Z", "shell.execute_reply": "2021-09-26T22:41:53.651123Z" }, "scrolled": true }, "outputs": [], "source": [ "for value in p0_values:\n", " ss.PQ.alter('p0', 'PQ_0', value)\n", " file_name = f'batch_cases/kundur_p_{value:.2f}.xlsx'\n", " \n", " andes.io.dump(ss, 'xlsx', file_name, overwrite=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Parallel Simulation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Parallel simulation is easy with the command line tool.\n", "\n", "Change directory to `batch_cases`:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:07.442744Z", "start_time": "2021-03-19T20:10:07.440551Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:41:53.655676Z", "iopub.status.busy": "2021-09-26T22:41:53.654059Z", "iopub.status.idle": "2021-09-26T22:41:53.659113Z", "shell.execute_reply": "2021-09-26T22:41:53.659515Z" } }, "outputs": [], "source": [ "import os\n", "\n", "# change the Python working directory\n", "os.chdir('batch_cases')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:07.562524Z", "start_time": "2021-03-19T20:10:07.444582Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:41:53.668794Z", "iopub.status.busy": "2021-09-26T22:41:53.663856Z", "iopub.status.idle": "2021-09-26T22:41:53.897143Z", "shell.execute_reply": "2021-09-26T22:41:53.896419Z" }, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total 56\r\n", "drwxr-xr-x 2 hacui hacui 4096 Apr 19 20:31 .\r\n", "drwxr-xr-x 6 hacui hacui 4096 Apr 19 20:31 ..\r\n", "-rw-r--r-- 1 hacui hacui 14841 Apr 19 20:31 kundur_p_11.59.xlsx\r\n", "-rw-r--r-- 1 hacui hacui 14842 Apr 19 20:31 kundur_p_12.75.xlsx\r\n", "-rw-r--r-- 1 hacui hacui 14840 Apr 19 20:31 kundur_p_13.91.xlsx\r\n" ] } ], "source": [ "!ls -la" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Running from Command line" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:14.123195Z", "start_time": "2021-03-19T20:10:07.564577Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:41:53.904692Z", "iopub.status.busy": "2021-09-26T22:41:53.904181Z", "iopub.status.idle": "2021-09-26T22:41:58.657362Z", "shell.execute_reply": "2021-09-26T22:41:58.657647Z" }, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " _ _ | Version 1.6.4.post10.dev0+gd1a4589d\n", " /_\\ _ _ __| |___ ___ | Python 3.9.10 on Linux, 04/19/2022 08:31:06 PM\n", " / _ \\| ' \\/ _` / -_|_-< | \n", " /_/ \\_\\_||_\\__,_\\___/__/ | This program comes with ABSOLUTELY NO WARRANTY.\n", "\n", "Working directory: \"/home/hacui/repos/andes/examples/batch_cases\"\n", "-> Processing 3 jobs on 12 CPUs.\n", "Process 0 for \"kundur_p_11.59.xlsx\" started.\n", "Process 1 for \"kundur_p_12.75.xlsx\" started.\n", "Process 2 for \"kundur_p_13.91.xlsx\" started.\n", ": Line.Line_8 status changed to 0 at t=2.0 sec. \n", ": Line.Line_8 status changed to 0 at t=2.0 sec. \n", ": Line.Line_8 status changed to 0 at t=2.0 sec. \n", "100%|########################################| 100.0/100 [00:01<00:00, 89.55%/s]\n", "100%|########################################| 100.0/100 [00:01<00:00, 87.15%/s]\n", "100%|########################################| 100.0/100 [00:01<00:00, 83.73%/s]\n", "Log saved to \"/tmp/andes-4fbaduja/andes.log\".\n", "-> Multiprocessing finished in 1.7566 seconds.\n" ] } ], "source": [ "!andes run *.xlsx -r tds" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Number of CPUs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In some cases, you don't want the simulatino to use up all resources. \n", "\n", "ANDES allows to control the number of processes to run in parallel through `--ncpu NCPU`, where `NCPU` is the maximum number of processes (equivalent to the number of CPU cores) allowed. " ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:25.477407Z", "start_time": "2021-03-19T20:10:14.124795Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:41:58.660518Z", "iopub.status.busy": "2021-09-26T22:41:58.659218Z", "iopub.status.idle": "2021-09-26T22:42:05.444692Z", "shell.execute_reply": "2021-09-26T22:42:05.444401Z" }, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " _ _ | Version 1.6.4.post10.dev0+gd1a4589d\n", " /_\\ _ _ __| |___ ___ | Python 3.9.10 on Linux, 04/19/2022 08:31:09 PM\n", " / _ \\| ' \\/ _` / -_|_-< | \n", " /_/ \\_\\_||_\\__,_\\___/__/ | This program comes with ABSOLUTELY NO WARRANTY.\n", "\n", "Working directory: \"/home/hacui/repos/andes/examples/batch_cases\"\n", "-> Processing 3 jobs on 4 CPUs.\n", "Process 0 for \"kundur_p_11.59.xlsx\" started.\n", "Process 1 for \"kundur_p_12.75.xlsx\" started.\n", "Process 2 for \"kundur_p_13.91.xlsx\" started.\n", ": Line.Line_8 status changed to 0 at t=2.0 sec. \n", ": Line.Line_8 status changed to 0 at t=2.0 sec. \n", ": Line.Line_8 status changed to 0 at t=2.0 sec. \n", "100%|########################################| 100.0/100 [00:01<00:00, 88.46%/s]\n", "100%|########################################| 100.0/100 [00:01<00:00, 86.36%/s]\n", "100%|########################################| 100.0/100 [00:01<00:00, 83.39%/s]\n", "Log saved to \"/tmp/andes-rlpeyxo9/andes.log\".\n", "-> Multiprocessing finished in 1.7693 seconds.\n" ] } ], "source": [ "!andes run *.xlsx -r tds --ncpu 4" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Running with APIs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Setting `pool = True` allows returning all system instances in a list. \n", "\n", "This comes with a penalty in computation time but can be helpful if you want to extract data directly." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:33.032221Z", "start_time": "2021-03-19T20:10:25.478687Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:42:05.447371Z", "iopub.status.busy": "2021-09-26T22:42:05.447062Z", "iopub.status.idle": "2021-09-26T22:42:09.102052Z", "shell.execute_reply": "2021-09-26T22:42:09.101494Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Working directory: \"/home/hacui/repos/andes/examples/batch_cases\"\n", "Found files: ['kundur_p_11.59.xlsx', 'kundur_p_12.75.xlsx', 'kundur_p_13.91.xlsx']\n", "-> Processing 3 jobs on 12 CPUs.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Cases are processed in the following order:\n", "\"kundur_p_11.59.xlsx\"\n", "\"kundur_p_12.75.xlsx\"\n", "\"kundur_p_13.91.xlsx\"\n", ": Line.Line_8 status changed to 0 at t=2.0 sec.: Line.Line_8 status changed to 0 at t=2.0 sec.\n", "\n", ": Line.Line_8 status changed to 0 at t=2.0 sec.\n", "Log saved to \"/tmp/andes-lmohp4sw/andes.log\".\n", "-> Multiprocessing finished in 3.2217 seconds.\n" ] } ], "source": [ "systems = andes.run('*.xlsx', routine='tds', pool=True, verbose=10)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:33.040332Z", "start_time": "2021-03-19T20:10:33.033527Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:42:09.107478Z", "iopub.status.busy": "2021-09-26T22:42:09.107221Z", "iopub.status.idle": "2021-09-26T22:42:09.109556Z", "shell.execute_reply": "2021-09-26T22:42:09.109338Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "systems[0]" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:33.047207Z", "start_time": "2021-03-19T20:10:33.041609Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:42:09.111483Z", "iopub.status.busy": "2021-09-26T22:42:09.111270Z", "iopub.status.idle": "2021-09-26T22:42:09.113745Z", "shell.execute_reply": "2021-09-26T22:42:09.113489Z" } }, "outputs": [ { "data": { "text/plain": [ "[,\n", " ,\n", " ]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "systems" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Example plots\n", "\n", "Plotting or data analyses can be carried out as usual." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:33.050379Z", "start_time": "2021-03-19T20:10:33.048430Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:42:09.115842Z", "iopub.status.busy": "2021-09-26T22:42:09.115629Z", "iopub.status.idle": "2021-09-26T22:42:09.117447Z", "shell.execute_reply": "2021-09-26T22:42:09.117231Z" } }, "outputs": [], "source": [ "ss = systems[0]" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:33.737935Z", "start_time": "2021-03-19T20:10:33.051823Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:42:09.119574Z", "iopub.status.busy": "2021-09-26T22:42:09.119265Z", "iopub.status.idle": "2021-09-26T22:42:09.474345Z", "shell.execute_reply": "2021-09-26T22:42:09.474077Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "(
, )" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "systems[0].TDS.plotter.plot(ss.GENROU.omega, latex=False)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2021-03-19T20:10:34.055974Z", "start_time": "2021-03-19T20:10:33.739566Z" }, "execution": { "iopub.execute_input": "2021-09-26T22:42:09.484068Z", "iopub.status.busy": "2021-09-26T22:42:09.476367Z", "iopub.status.idle": "2021-09-26T22:42:09.572706Z", "shell.execute_reply": "2021-09-26T22:42:09.572415Z" } }, "outputs": [ { "data": { "image/png": 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\n", 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