{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Active and Reactive Power\n", "\n", "This notebook is intended as a quick start to working with data using PredictiveGrid's Python API. It illustrates the inportant functionality of the API through performing a common power calculation." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The very first step is to import all the required packages. Below is a list of basic imports that you can copy and paste into your own notebooks to get going.\n", "The external python libraries (```matplotlib```, ```numpy```, etc.) have wonderful, extensive documentation that you should look up if you want to explore all their functionalities or just unblock yourself. \n", "The ```%matplotlib inline``` command ensures that plots will be rendered in the notebook itself, rather than in a pop-up window. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:39:43.806825Z", "iopub.status.busy": "2025-12-08T22:39:43.806745Z", "iopub.status.idle": "2025-12-08T22:39:44.725359Z", "shell.execute_reply": "2025-12-08T22:39:44.725111Z", "shell.execute_reply.started": "2025-12-08T22:39:43.806814Z" } }, "outputs": [], "source": [ "# PredictiveGrid imports\n", "import matplotlib.pyplot as plt # plotting package\n", "\n", "# External Python libraries\n", "import numpy as np # scientific computing package\n", "import pandas as pd # data analysis library\n", "import pingthings as pt\n", "import seaborn as sns # pretty plotting package\n", "\n", "sns.set_style(\"darkgrid\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we must connect to the database. The ```connect``` function optionally accepts a `profile` string if you have multiple BTrDB configurations defined in your `${HOME}/.predictivegrid/credentials.yaml`\n", "\n", "```python\n", ">>> pt.connect(profile=\"my_cluster\")\n", "```\n", "\n", "When running a notebook on JupyterHub, this does not need to be passed. Authenticating and logging into the predictive grid will happen based on variables encoded into the environment that `pt.connect` will look for when you pass nothing to `connect()`" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:39:44.725864Z", "iopub.status.busy": "2025-12-08T22:39:44.725729Z", "iopub.status.idle": "2025-12-08T22:39:44.959925Z", "shell.execute_reply": "2025-12-08T22:39:44.959601Z", "shell.execute_reply.started": "2025-12-08T22:39:44.725853Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "conn.info() = {'major_version': 5, 'minor_version': 48, 'build': '5.48.0', 'proxy': {'proxy_endpoints': []}}\n" ] } ], "source": [ "conn = pt.connect()\n", "print(f\"{conn.info() = }\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Power Calculation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Lets compute active and reactive power from our phasor measurements from the sunshine dataset for 1 24Hr period.\n", "\n", "We will calculate complex power at multiple points in time using the sunshine data. You can read more about the sunshine dataset on the blog [here](https://blog.ni4ai.org/post/2020-03-30-sunshine-data/). You can find a diagram with approximate sensor locations [here](https://blog.ni4ai.org/post/2021-05-29-disaggregation/). [This blog post](https://blog.ni4ai.org/post/2021-06-19-power_factor/) introduces what *complex power* is, and of course you can find out more on wikipedia. Another relevant topic is the meaning of phasors which is introduced [here](https://blog.ni4ai.org/post/2020-07-30-what-is-the-angle/).\n", "\n", "\n", "We will do the following:\n", "\n", "1. Grab current and voltage phasor streams (magnitude and angle)\n", "2. Grab the status flag stream to use as a boolean mask\n", "3. pick a 24 hr region of time and pull data\n", "4. mask with the status flag\n", "5. Compute phasors\n", "6. compute a,b,c phase power\n", "7. plot active and reactive power" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1-2. Get phasor streams and statusflags" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:39:44.960442Z", "iopub.status.busy": "2025-12-08T22:39:44.960358Z", "iopub.status.idle": "2025-12-08T22:39:45.035644Z", "shell.execute_reply": "2025-12-08T22:39:45.035274Z", "shell.execute_reply.started": "2025-12-08T22:39:44.960433Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "sunshine_streams = \n", " - C1MAG: 1187af71-2d54-49d4-9027-bae5d23c4bda\n", " - L2MAG: d4cfa9a6-e11a-4370-9eda-16e80773ce8c\n", " - C2MAG: d765f128-4c00-4226-bacf-0de8ebb090b5\n", " - L1ANG: 51840b07-297a-42e5-a73a-290c0a47bddb\n", " - LSTATE: 6ffb2e7e-273c-4963-9143-b416923980b0\n", " - L2ANG: 886203ca-d3e8-4fca-90cc-c88dfd0283d4\n", " - C1ANG: d625793b-721f-46e2-8b8c-18f882366eeb\n", " - C3ANG: 0be8a8f4-3b45-4fe3-b77c-1cbdadb92039\n", " - C3MAG: fb61e4d1-3e17-48ee-bdf3-43c54b03d7c8\n", " - L1MAG: 35bdb8dc-bf18-4523-85ca-8ebe384bd9b5\n", " - L3MAG: b2936212-253e-488a-87f6-a9927042031f\n", " - L3ANG: e4efd9f6-9932-49b6-9799-90815507aed0\n", " - C2ANG: 97de3802-d38d-403c-96af-d23b874b5e95\n" ] } ], "source": [ "sunshine_streams = conn.streams_in_collection(\"sunshine/PMU1\", is_collection_prefix=False)\n", "print(f\"{sunshine_streams = }\")\n", "for stream in sunshine_streams:\n", " print(f\" - {stream.name}: {stream.uuid}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Pick a 12hr region of time and pull data" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:39:45.036128Z", "iopub.status.busy": "2025-12-08T22:39:45.036034Z", "iopub.status.idle": "2025-12-08T22:39:45.039636Z", "shell.execute_reply": "2025-12-08T22:39:45.039339Z", "shell.execute_reply.started": "2025-12-08T22:39:45.036118Z" } }, "outputs": [], "source": [ "start = pt.utils.to_nanoseconds(\"2017-04-12 12:00:00\")\n", "end = start + pt.utils.ns_delta(hours=12)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we're using two helper functions, which can be conveniently found in our `utils` module." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:39:45.040105Z", "iopub.status.busy": "2025-12-08T22:39:45.040011Z", "iopub.status.idle": "2025-12-08T22:40:07.301231Z", "shell.execute_reply": "2025-12-08T22:40:07.300827Z", "shell.execute_reply.started": "2025-12-08T22:39:45.040094Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "DatetimeIndex: 5137440 entries, 2017-04-12 12:00:00.008333+00:00 to 2017-04-12 23:59:59.999999+00:00\n", "Data columns (total 13 columns):\n", " # Column Dtype \n", "--- ------ ----- \n", " 0 C1MAG float32\n", " 1 L2MAG float32\n", " 2 C2MAG float32\n", " 3 L1ANG float32\n", " 4 LSTATE float32\n", " 5 L2ANG float32\n", " 6 C1ANG float32\n", " 7 C3ANG float32\n", " 8 C3MAG float32\n", " 9 L1MAG float32\n", " 10 L3MAG float32\n", " 11 L3ANG float32\n", " 12 C2ANG float32\n", "dtypes: float32(13)\n", "memory usage: 294.0 MB\n" ] } ], "source": [ "sunshine_df = (\n", " sunshine_streams.raw_values(start=start, end=end)\n", " .to_pandas()\n", " .set_index(\"time\")\n", " .rename(columns={str(s.uuid): s.name for s in sunshine_streams})\n", ")\n", "sunshine_df.info()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4. Mask data with status flag" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:07.302672Z", "iopub.status.busy": "2025-12-08T22:40:07.302574Z", "iopub.status.idle": "2025-12-08T22:40:07.829321Z", "shell.execute_reply": "2025-12-08T22:40:07.828930Z", "shell.execute_reply.started": "2025-12-08T22:40:07.302661Z" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " C1MAG L2MAG C2MAG L1ANG \\\n", "time \n", "2017-04-12 12:00:00.008333+00:00 1.067941 7193.234863 2.647526 210.967102 \n", "2017-04-12 12:00:00.016666+00:00 1.077288 7192.982422 2.649505 211.071106 \n", "2017-04-12 12:00:00.024999+00:00 1.074659 7192.908691 2.656754 211.170074 \n", "2017-04-12 12:00:00.033333+00:00 1.077025 7193.023438 2.649952 211.270355 \n", "2017-04-12 12:00:00.041666+00:00 1.098161 7193.195801 2.665421 211.374374 \n", "\n", " L2ANG C1ANG C3ANG \\\n", "time \n", "2017-04-12 12:00:00.008333+00:00 331.291412 287.297852 301.331329 \n", "2017-04-12 12:00:00.016666+00:00 331.393402 288.795532 301.874603 \n", "2017-04-12 12:00:00.024999+00:00 331.494598 288.327698 301.570648 \n", "2017-04-12 12:00:00.033333+00:00 331.597321 288.766693 301.581818 \n", "2017-04-12 12:00:00.041666+00:00 331.700378 288.478912 301.532227 \n", "\n", " C3MAG L1MAG L3MAG \\\n", "time \n", "2017-04-12 12:00:00.008333+00:00 2.655875 7199.367188 7161.541992 \n", "2017-04-12 12:00:00.016666+00:00 2.670920 7199.201172 7161.606445 \n", "2017-04-12 12:00:00.024999+00:00 2.663389 7198.952148 7161.555176 \n", "2017-04-12 12:00:00.033333+00:00 2.668463 7199.125977 7161.547852 \n", "2017-04-12 12:00:00.041666+00:00 2.688999 7199.190918 7161.669922 \n", "\n", " L3ANG C2ANG \n", "time \n", "2017-04-12 12:00:00.008333+00:00 91.143814 258.771149 \n", "2017-04-12 12:00:00.016666+00:00 91.246574 259.514709 \n", "2017-04-12 12:00:00.024999+00:00 91.348557 259.207123 \n", "2017-04-12 12:00:00.033333+00:00 91.451042 259.199921 \n", "2017-04-12 12:00:00.041666+00:00 91.554207 259.336182 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sunshine_df.mask(sunshine_df[\"LSTATE\"] != 0.0, inplace=True)\n", "sunshine_df.dropna(inplace=True)\n", "sunshine_df.drop(columns=[\"LSTATE\"], inplace=True)\n", "sunshine_df.head()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:07.829792Z", "iopub.status.busy": "2025-12-08T22:40:07.829698Z", "iopub.status.idle": "2025-12-08T22:40:07.833867Z", "shell.execute_reply": "2025-12-08T22:40:07.833606Z", "shell.execute_reply.started": "2025-12-08T22:40:07.829782Z" } }, "outputs": [ { "data": { "text/plain": [ "MultiIndex([('C', '1', 'MAG'),\n", " ('L', '2', 'MAG'),\n", " ('C', '2', 'MAG'),\n", " ('L', '1', 'ANG'),\n", " ('L', '2', 'ANG'),\n", " ('C', '1', 'ANG'),\n", " ('C', '3', 'ANG'),\n", " ('C', '3', 'MAG'),\n", " ('L', '1', 'MAG'),\n", " ('L', '3', 'MAG'),\n", " ('L', '3', 'ANG'),\n", " ('C', '2', 'ANG')],\n", " names=['type', 'phase', 'mag_or_ang'])" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tmp_cols = sunshine_df.columns.str.extract(\"(^[A-Z])([1-3])(.*)\", expand=True)\n", "tmp_cols.columns = [\"type\", \"phase\", \"mag_or_ang\"]\n", "\n", "multi_index = pd.MultiIndex.from_frame(tmp_cols)\n", "multi_index" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:07.834441Z", "iopub.status.busy": "2025-12-08T22:40:07.834334Z", "iopub.status.idle": "2025-12-08T22:40:07.841737Z", "shell.execute_reply": "2025-12-08T22:40:07.841512Z", "shell.execute_reply.started": "2025-12-08T22:40:07.834430Z" }, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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5133840 rows \u00d7 12 columns

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" ], "text/plain": [ "type C L C \\\n", "phase 1 2 2 \n", "mag_or_ang MAG MAG MAG \n", "time \n", "2017-04-12 12:00:00.008333+00:00 1.067941 7193.234863 2.647526 \n", "2017-04-12 12:00:00.016666+00:00 1.077288 7192.982422 2.649505 \n", "2017-04-12 12:00:00.024999+00:00 1.074659 7192.908691 2.656754 \n", "2017-04-12 12:00:00.033333+00:00 1.077025 7193.023438 2.649952 \n", "2017-04-12 12:00:00.041666+00:00 1.098161 7193.195801 2.665421 \n", "... ... ... ... \n", "2017-04-12 23:59:59.966666+00:00 152.678528 7237.336914 150.528793 \n", "2017-04-12 23:59:59.974999+00:00 152.694809 7237.402344 150.406143 \n", "2017-04-12 23:59:59.983333+00:00 152.680252 7237.415039 150.426971 \n", "2017-04-12 23:59:59.991666+00:00 152.613007 7237.575684 150.528397 \n", "2017-04-12 23:59:59.999999+00:00 152.669434 7237.865723 150.483536 \n", "\n", "type L C \\\n", "phase 1 2 1 \n", "mag_or_ang ANG ANG ANG \n", "time \n", "2017-04-12 12:00:00.008333+00:00 210.967102 331.291412 287.297852 \n", "2017-04-12 12:00:00.016666+00:00 211.071106 331.393402 288.795532 \n", "2017-04-12 12:00:00.024999+00:00 211.170074 331.494598 288.327698 \n", "2017-04-12 12:00:00.033333+00:00 211.270355 331.597321 288.766693 \n", "2017-04-12 12:00:00.041666+00:00 211.374374 331.700378 288.478912 \n", "... ... ... ... \n", "2017-04-12 23:59:59.966666+00:00 102.993713 223.317429 105.277977 \n", "2017-04-12 23:59:59.974999+00:00 102.986305 223.307922 105.280144 \n", "2017-04-12 23:59:59.983333+00:00 102.977066 223.299515 105.248222 \n", "2017-04-12 23:59:59.991666+00:00 102.966736 223.291412 105.233086 \n", "2017-04-12 23:59:59.999999+00:00 102.960045 223.285355 105.246346 \n", "\n", "type L \\\n", "phase 3 1 \n", "mag_or_ang ANG MAG MAG \n", "time \n", "2017-04-12 12:00:00.008333+00:00 301.331329 2.655875 7199.367188 \n", "2017-04-12 12:00:00.016666+00:00 301.874603 2.670920 7199.201172 \n", "2017-04-12 12:00:00.024999+00:00 301.570648 2.663389 7198.952148 \n", "2017-04-12 12:00:00.033333+00:00 301.581818 2.668463 7199.125977 \n", "2017-04-12 12:00:00.041666+00:00 301.532227 2.688999 7199.190918 \n", "... ... ... ... \n", "2017-04-12 23:59:59.966666+00:00 344.750916 147.771149 7230.329590 \n", "2017-04-12 23:59:59.974999+00:00 344.690491 147.859024 7230.400879 \n", "2017-04-12 23:59:59.983333+00:00 344.674164 147.854050 7230.480469 \n", "2017-04-12 23:59:59.991666+00:00 344.693695 147.851013 7230.523438 \n", "2017-04-12 23:59:59.999999+00:00 344.675110 147.863663 7230.591797 \n", "\n", "type C \n", "phase 3 2 \n", "mag_or_ang MAG ANG ANG \n", "time \n", "2017-04-12 12:00:00.008333+00:00 7161.541992 91.143814 258.771149 \n", "2017-04-12 12:00:00.016666+00:00 7161.606445 91.246574 259.514709 \n", "2017-04-12 12:00:00.024999+00:00 7161.555176 91.348557 259.207123 \n", "2017-04-12 12:00:00.033333+00:00 7161.547852 91.451042 259.199921 \n", "2017-04-12 12:00:00.041666+00:00 7161.669922 91.554207 259.336182 \n", "... ... ... ... \n", "2017-04-12 23:59:59.966666+00:00 7209.026367 343.269073 222.974060 \n", "2017-04-12 23:59:59.974999+00:00 7209.247070 343.261108 222.920547 \n", "2017-04-12 23:59:59.983333+00:00 7209.358398 343.253326 222.904129 \n", "2017-04-12 23:59:59.991666+00:00 7209.407715 343.245300 222.870239 \n", "2017-04-12 23:59:59.999999+00:00 7209.452637 343.240112 222.887329 \n", "\n", "[5133840 rows x 12 columns]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sunshine_df.columns = multi_index\n", "sunshine_df" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:07.842212Z", "iopub.status.busy": "2025-12-08T22:40:07.842119Z", "iopub.status.idle": "2025-12-08T22:40:07.844026Z", "shell.execute_reply": "2025-12-08T22:40:07.843548Z", "shell.execute_reply.started": "2025-12-08T22:40:07.842202Z" } }, "outputs": [], "source": [ "idx = pd.IndexSlice" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5. Calculate Phasors" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:07.844821Z", "iopub.status.busy": "2025-12-08T22:40:07.844611Z", "iopub.status.idle": "2025-12-08T22:40:07.846970Z", "shell.execute_reply": "2025-12-08T22:40:07.846657Z", "shell.execute_reply.started": "2025-12-08T22:40:07.844808Z" } }, "outputs": [], "source": [ "def calc_phasors(mag: pd.Series, ang: pd.Series, unwrap: bool = True):\n", " if unwrap:\n", " ang = np.deg2rad(np.unwrap(ang.to_numpy().flatten()))\n", " else:\n", " ang = np.deg2rad(ang.to_numpy().flatten())\n", " return mag.to_numpy().flatten() * np.exp(1j * ang)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:07.847566Z", "iopub.status.busy": "2025-12-08T22:40:07.847457Z", "iopub.status.idle": "2025-12-08T22:40:08.829583Z", "shell.execute_reply": "2025-12-08T22:40:08.829163Z", "shell.execute_reply.started": "2025-12-08T22:40:07.847554Z" } }, "outputs": [], "source": [ "# angle goes from 0->360 here, not -pi <-> pi, not unwrapping\n", "phasor_map = dict()\n", "for type in [\"C\", \"L\"]:\n", " for phase in [\"1\", \"2\", \"3\"]:\n", " phasor_map[type + \"_\" + phase + \"_\" + \"phasor\"] = calc_phasors(\n", " mag=sunshine_df.loc[:, idx[type, phase, \"MAG\"]],\n", " ang=sunshine_df.loc[:, idx[type, phase, \"ANG\"]],\n", " unwrap=False,\n", " )" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:08.830240Z", "iopub.status.busy": "2025-12-08T22:40:08.830145Z", "iopub.status.idle": "2025-12-08T22:40:08.896761Z", "shell.execute_reply": "2025-12-08T22:40:08.896433Z", "shell.execute_reply.started": "2025-12-08T22:40:08.830229Z" } }, "outputs": [], "source": [ "phasor_df = pd.DataFrame.from_dict(phasor_map)\n", "phasor_df.index = sunshine_df.index" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:08.897253Z", "iopub.status.busy": "2025-12-08T22:40:08.897167Z", "iopub.status.idle": "2025-12-08T22:40:08.902669Z", "shell.execute_reply": "2025-12-08T22:40:08.902340Z", "shell.execute_reply.started": "2025-12-08T22:40:08.897243Z" } }, "outputs": [ { "data": { "text/html": [ "
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C_1_phasorC_2_phasorC_3_phasorL_1_phasorL_2_phasorL_3_phasor
time
2017-04-12 12:00:00.008333+00:000.317540- 1.019640j-0.515548- 2.596844j1.381019- 2.268581j-6173.189941-3704.404053j6309.000488-3455.305908j-142.958572+7160.115234j
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2017-04-12 12:00:00.024999+00:000.337928- 1.020146j-0.497501- 2.609757j1.394416- 2.269195j-6159.673340-3726.035645j6320.927734-3432.755371j-168.544006+7159.571777j
2017-04-12 12:00:00.033333+00:000.346495- 1.019767j-0.496555- 2.603013j1.397515- 2.273245j-6153.290527-3736.900635j6327.172852-3421.471680j-181.350113+7159.251465j
2017-04-12 12:00:00.041666+00:000.348068- 1.041540j-0.493225- 2.619388j1.406287- 2.291958j-6146.552246-3748.098389j6333.468262-3410.167725j-194.243622+7159.035156j
.....................
2017-04-12 23:59:59.966666+00:00-40.231133+147.282684j-110.136269-102.610527j142.568344- 38.866180j-1625.697266+7045.195312j-5265.625977-4965.100586j6903.848633-2075.315674j
2017-04-12 23:59:59.974999+00:00-40.240990+147.296875j-110.142227-102.424103j142.612045- 39.039669j-1624.802002+7045.475098j-5266.497559-4964.271973j6903.770996-2076.340332j
2017-04-12 23:59:59.983333+00:00-40.155106+147.305222j-110.186836-102.406715j142.596115- 39.079018j-1623.684448+7045.813965j-5267.235840-4963.506836j6903.595215-2077.310791j
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\n", "

5133840 rows \u00d7 6 columns

\n", "
" ], "text/plain": [ " C_1_phasor \\\n", "time \n", "2017-04-12 12:00:00.008333+00:00 0.317540- 1.019640j \n", "2017-04-12 12:00:00.016666+00:00 0.347094- 1.019841j \n", "2017-04-12 12:00:00.024999+00:00 0.337928- 1.020146j \n", "2017-04-12 12:00:00.033333+00:00 0.346495- 1.019767j \n", "2017-04-12 12:00:00.041666+00:00 0.348068- 1.041540j \n", "... ... \n", "2017-04-12 23:59:59.966666+00:00 -40.231133+147.282684j \n", "2017-04-12 23:59:59.974999+00:00 -40.240990+147.296875j \n", "2017-04-12 23:59:59.983333+00:00 -40.155106+147.305222j \n", "2017-04-12 23:59:59.991666+00:00 -40.098518+147.250931j \n", "2017-04-12 23:59:59.999999+00:00 -40.147427+147.296097j \n", "\n", " C_2_phasor \\\n", "time \n", "2017-04-12 12:00:00.008333+00:00 -0.515548- 2.596844j \n", "2017-04-12 12:00:00.016666+00:00 -0.482165- 2.605263j \n", "2017-04-12 12:00:00.024999+00:00 -0.497501- 2.609757j \n", "2017-04-12 12:00:00.033333+00:00 -0.496555- 2.603013j \n", "2017-04-12 12:00:00.041666+00:00 -0.493225- 2.619388j \n", "... ... \n", "2017-04-12 23:59:59.966666+00:00 -110.136269-102.610527j \n", "2017-04-12 23:59:59.974999+00:00 -110.142227-102.424103j \n", "2017-04-12 23:59:59.983333+00:00 -110.186836-102.406715j \n", "2017-04-12 23:59:59.991666+00:00 -110.321724-102.410522j \n", "2017-04-12 23:59:59.999999+00:00 -110.258308-102.412895j \n", "\n", " C_3_phasor \\\n", "time \n", "2017-04-12 12:00:00.008333+00:00 1.381019- 2.268581j \n", "2017-04-12 12:00:00.016666+00:00 1.410411- 2.268161j \n", "2017-04-12 12:00:00.024999+00:00 1.394416- 2.269195j \n", "2017-04-12 12:00:00.033333+00:00 1.397515- 2.273245j \n", "2017-04-12 12:00:00.041666+00:00 1.406287- 2.291958j \n", "... ... \n", "2017-04-12 23:59:59.966666+00:00 142.568344- 38.866180j \n", "2017-04-12 23:59:59.974999+00:00 142.612045- 39.039669j \n", "2017-04-12 23:59:59.983333+00:00 142.596115- 39.079018j \n", "2017-04-12 23:59:59.991666+00:00 142.606491- 39.029594j \n", "2017-04-12 23:59:59.999999+00:00 142.606033- 39.079178j \n", "\n", " L_1_phasor \\\n", "time \n", "2017-04-12 12:00:00.008333+00:00 -6173.189941-3704.404053j \n", "2017-04-12 12:00:00.016666+00:00 -6166.313477-3715.518311j \n", "2017-04-12 12:00:00.024999+00:00 -6159.673340-3726.035645j \n", "2017-04-12 12:00:00.033333+00:00 -6153.290527-3736.900635j \n", "2017-04-12 12:00:00.041666+00:00 -6146.552246-3748.098389j \n", "... ... \n", "2017-04-12 23:59:59.966666+00:00 -1625.697266+7045.195312j \n", "2017-04-12 23:59:59.974999+00:00 -1624.802002+7045.475098j \n", "2017-04-12 23:59:59.983333+00:00 -1623.684448+7045.813965j \n", "2017-04-12 23:59:59.991666+00:00 -1622.423218+7046.148438j \n", "2017-04-12 23:59:59.999999+00:00 -1621.616089+7046.404785j \n", "\n", " L_2_phasor \\\n", "time \n", "2017-04-12 12:00:00.008333+00:00 6309.000488-3455.305908j \n", "2017-04-12 12:00:00.016666+00:00 6314.919434-3443.949463j \n", "2017-04-12 12:00:00.024999+00:00 6320.927734-3432.755371j \n", "2017-04-12 12:00:00.033333+00:00 6327.172852-3421.471680j \n", "2017-04-12 12:00:00.041666+00:00 6333.468262-3410.167725j \n", "... ... \n", "2017-04-12 23:59:59.966666+00:00 -5265.625977-4965.100586j \n", "2017-04-12 23:59:59.974999+00:00 -5266.497559-4964.271973j \n", "2017-04-12 23:59:59.983333+00:00 -5267.235840-4963.506836j \n", "2017-04-12 23:59:59.991666+00:00 -5268.054688-4962.872559j \n", "2017-04-12 23:59:59.999999+00:00 -5268.790039-4962.514648j \n", "\n", " L_3_phasor \n", "time \n", "2017-04-12 12:00:00.008333+00:00 -142.958572+7160.115234j \n", "2017-04-12 12:00:00.016666+00:00 -155.801437+7159.911133j \n", "2017-04-12 12:00:00.024999+00:00 -168.544006+7159.571777j \n", "2017-04-12 12:00:00.033333+00:00 -181.350113+7159.251465j \n", "2017-04-12 12:00:00.041666+00:00 -194.243622+7159.035156j \n", "... ... \n", "2017-04-12 23:59:59.966666+00:00 6903.848633-2075.315674j \n", "2017-04-12 23:59:59.974999+00:00 6903.770996-2076.340332j \n", "2017-04-12 23:59:59.983333+00:00 6903.595215-2077.310791j \n", "2017-04-12 23:59:59.991666+00:00 6903.352539-2078.289551j \n", "2017-04-12 23:59:59.999999+00:00 6903.206543-2078.927979j \n", "\n", "[5133840 rows x 6 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "phasor_df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 6. Compute Complex Power" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:08.903081Z", "iopub.status.busy": "2025-12-08T22:40:08.902989Z", "iopub.status.idle": "2025-12-08T22:40:09.064870Z", "shell.execute_reply": "2025-12-08T22:40:09.064497Z", "shell.execute_reply.started": "2025-12-08T22:40:08.903071Z" } }, "outputs": [], "source": [ "power_map = dict()\n", "for phase in [1, 2, 3]:\n", " v_col = f\"L_{phase}_phasor\"\n", " c_col = f\"C_{phase}_phasor\"\n", " power_map[f\"{phase}_power\"] = phasor_df[v_col] * np.conj(phasor_df[c_col])" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:09.065918Z", "iopub.status.busy": "2025-12-08T22:40:09.065592Z", "iopub.status.idle": "2025-12-08T22:40:09.163902Z", "shell.execute_reply": "2025-12-08T22:40:09.163615Z", "shell.execute_reply.started": "2025-12-08T22:40:09.065898Z" } }, "outputs": [ { "data": { "text/html": [ "
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1_power2_power3_power
time
2017-04-12 12:00:00.008333+00:001816.921387-7470.727051j5720.296387+18164.871094j-16440.730469+ 9563.940430j
2017-04-12 12:00:00.016666+00:001648.951172-7578.293945j5927.558594+18112.580078j-16459.572266+ 9745.038086j
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2017-04-12 12:00:00.033333+00:001678.680542-7569.740234j5764.343750+18168.666016j-16528.173828+ 9592.909180j
2017-04-12 12:00:00.041666+00:001764.374634-7706.472168j5808.727539+18271.792969j-16681.369141+ 9622.460938j
\n", "
" ], "text/plain": [ " 1_power \\\n", "time \n", "2017-04-12 12:00:00.008333+00:00 1816.921387-7470.727051j \n", "2017-04-12 12:00:00.016666+00:00 1648.951172-7578.293945j \n", "2017-04-12 12:00:00.024999+00:00 1719.573242-7542.897461j \n", "2017-04-12 12:00:00.033333+00:00 1678.680542-7569.740234j \n", "2017-04-12 12:00:00.041666+00:00 1764.374634-7706.472168j \n", "\n", " 2_power \\\n", "time \n", "2017-04-12 12:00:00.008333+00:00 5720.296387+18164.871094j \n", "2017-04-12 12:00:00.016666+00:00 5927.558594+18112.580078j \n", "2017-04-12 12:00:00.024999+00:00 5813.987793+18203.886719j \n", "2017-04-12 12:00:00.033333+00:00 5764.343750+18168.666016j \n", "2017-04-12 12:00:00.041666+00:00 5808.727539+18271.792969j \n", "\n", " 3_power \n", "time \n", "2017-04-12 12:00:00.008333+00:00 -16440.730469+ 9563.940430j \n", "2017-04-12 12:00:00.016666+00:00 -16459.572266+ 9745.038086j \n", "2017-04-12 12:00:00.024999+00:00 -16481.486328+ 9600.960938j \n", "2017-04-12 12:00:00.033333+00:00 -16528.173828+ 9592.909180j \n", "2017-04-12 12:00:00.041666+00:00 -16681.369141+ 9622.460938j " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "power_df = pd.DataFrame.from_dict(power_map)\n", "power_df.index = phasor_df.index\n", "power_df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 7. Plot" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2025-12-08T22:40:09.164524Z", "iopub.status.busy": "2025-12-08T22:40:09.164357Z", "iopub.status.idle": "2025-12-08T22:40:09.819195Z", "shell.execute_reply": "2025-12-08T22:40:09.818776Z", "shell.execute_reply.started": "2025-12-08T22:40:09.164508Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=2, ncols=1, figsize=((16, 9)), sharex=True)\n", "ax[0].set_title(\"Active Power\")\n", "ax[1].set_title(\"Reactive Power\")\n", "\n", "ax[0].set_ylabel(\"Power (P)[W]\")\n", "ax[1].set_ylabel(\"Reactive Power (Q)[VAR]\")\n", "\n", "for phase in [\"1\", \"2\", \"3\"]:\n", " sns.lineplot(\n", " x=pd.DatetimeIndex(power_df.index[::1000]),\n", " y=np.real(power_df.filter(like=phase)[::1000].to_numpy().flatten()),\n", " ax=ax[0],\n", " label=f\"{phase}_real\",\n", " )\n", " sns.lineplot(\n", " x=pd.DatetimeIndex(power_df.index[::1000]),\n", " y=np.imag(power_df.filter(like=phase)[::1000].to_numpy().flatten()),\n", " ax=ax[1],\n", " label=f\"{phase}_imag\",\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": "3.12.12" } }, "nbformat": 4, "nbformat_minor": 4 }