diff --git a/README.md b/README.md index b04f49100..f91c9b8be 100644 --- a/README.md +++ b/README.md @@ -105,7 +105,13 @@ Here, the power output can be estimated using the previously presented naïve me The naïve and the SAM method are used in the ***[nsrdb_naive_demo.ipynb](https://github.com/intvenlab/PreREISE/blob/sam/prereise/gather/solardata/nsrdb/demo/nsrdb_naive_demo.ipynb)*** and ***[nsrdb_sam_demo.ipynb](https://github.com/intvenlab/PreREISE/blob/sam/prereise/gather/solardata/nsrdb/demo/nsrdb_sam_demo.ipynb)*** demo notebook, respectively. -### C. Demand Data +### C. Hydro Data +EIA (Energy Information Administration) published monthly capacity factors for hydro plants across the country. This dataset (available [here](https://www.eia.gov/electricity/annual/html/epa_04_08_b.html)) is used to produce a profile for each hydro plant in the grid. Note that we are using the same set of capacity factor independently of the geographical location of the plant. As a result, the profile of all the hydro plants in the grid will have the same shape. Only the power output will differ (the scale of the profile). + +Check out the ***[eia_demo.ipynb](https://github.com/intvenlab/PreREISE/blob/hydro/prereise/gather/hydrodata/eia/demo/eia_demo.ipynb)*** notebook for demo. + + +### D. Demand Data Demand data are obtained from EIA, to whom Balancing Authorities have submitted their data. The data can be obtained either by direct download from their database using an API or by download of Excel spreadsheets. A API key is required for the API download and this key can be obtained by a user by registering at https://www.eia.gov/opendata/. The direct download currently contains only published demand data. The Excel spreadsheets include original and imputed demand data, as well as results of various data quality checks done by EIA. Documentation about the datasets can be found [here](https://www.eia.gov/realtime_grid/docs/userguide-knownissues.pdf). Excel spreadsheets can be downloaded by clicking on the links in page 9 (Table of all US and foreign connected balancing authorities). diff --git a/prereise/gather/__init__.py b/prereise/gather/__init__.py index f01dd985c..0276d4fc5 100644 --- a/prereise/gather/__init__.py +++ b/prereise/gather/__init__.py @@ -1 +1 @@ -__all__ = ["demanddata", "solardata", "winddata"] +__all__ = ["demanddata", "solardata", "winddata", "hydrodata"] diff --git a/prereise/gather/hydrodata/__init__.py b/prereise/gather/hydrodata/__init__.py new file mode 100644 index 000000000..b6602d864 --- /dev/null +++ b/prereise/gather/hydrodata/__init__.py @@ -0,0 +1 @@ +__all__ = ["eia"] diff --git a/prereise/gather/hydrodata/eia/__init__.py b/prereise/gather/hydrodata/eia/__init__.py new file mode 100644 index 000000000..b6602d864 --- /dev/null +++ b/prereise/gather/hydrodata/eia/__init__.py @@ -0,0 +1 @@ +__all__ = ["eia"] diff --git a/prereise/gather/hydrodata/eia/cf.csv b/prereise/gather/hydrodata/eia/cf.csv new file mode 100644 index 000000000..60aec2a7d --- /dev/null +++ b/prereise/gather/hydrodata/eia/cf.csv @@ -0,0 +1,36 @@ +01/15/2015, 0.407 +02/15/2015, 0.414 +03/15/2015, 0.408 +04/15/2015, 0.394 +05/15/2015, 0.339 +06/15/2015, 0.358 +07/15/2015, 0.358 +08/15/2015, 0.325 +09/15/2015, 0.283 +10/15/2015, 0.283 +11/15/2015, 0.338 +12/15/2015, 0.394 +01/15/2016, 0.436 +02/15/2016, 0.438 +03/15/2016, 0.459 +04/15/2016, 0.446 +05/15/2016, 0.428 +06/15/2016, 0.406 +07/15/2016, 0.361 +08/15/2016, 0.330 +09/15/2016, 0.286 +10/15/2016, 0.293 +11/15/2016, 0.328 +12/15/2016, 0.379 +01/15/2017, 0.454 +02/15/2017, 0.441 +03/15/2017, 0.491 +04/15/2017, 0.511 +05/15/2017, 0.547 +06/15/2017, 0.527 +07/15/2017, 0.451 +08/15/2017, 0.373 +09/15/2017, 0.334 +10/15/2017, 0.310 +11/15/2017, 0.360 +12/15/2017, 0.377 \ No newline at end of file diff --git a/prereise/gather/hydrodata/eia/demo/eia_demo.ipynb b/prereise/gather/hydrodata/eia/demo/eia_demo.ipynb new file mode 100644 index 000000000..6fdf13869 --- /dev/null +++ b/prereise/gather/hydrodata/eia/demo/eia_demo.ipynb @@ -0,0 +1,1002 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Produce Hydro Profile Using EIA data\n", + "---\n", + "\n", + "**EIA**: Energy Information Administration\n", + "\n", + "Monthly capacity factors for hydro plant across the country are reported by EIA [here](https://www.eia.gov/electricity/annual/html/epa_04_08_b.html). The table is extracted from the [Electric Annual Power 2017](https://www.eia.gov/electricity/annual/pdf/epa.pdf) report, which enclose a mine of information useful for this project.\n", + "\n", + "The quoted capacity factors are used in this notebook to produce an hydro profile. A unique number is given for each month and for the entire country. First, we produce hourly capacity factors by interpolating the monthly data. Then, the same capacity factor is used for each hydro plant across the country. Given the geographic diverdity of the U.S., this is a strong assumption." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\program files\\python\\python36\\lib\\site-packages\\matplotlib\\__init__.py:886: MatplotlibDeprecationWarning: \n", + "examples.directory is deprecated; in the future, examples will be found relative to the 'datapath' directory.\n", + " \"found relative to the 'datapath' directory.\".format(key))\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading sub\n", + "Loading bus2sub\n", + "Loading bus\n", + "Loading genbus\n", + "Loading branches\n", + "Loading resources\n", + "Loading net_generation\n", + "Done loading\n" + ] + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from westernintnet.westernintnet import win_data\n", + "from prereise.gather.hydrodata.eia import eia" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Get Profile" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "There are 715 hydro plants in the Western grid\n" + ] + } + ], + "source": [ + "data = eia.get_profile(start='2016-01-01-00', end='2016-12-31-23')\n", + "print(\"There are %d hydro plants in the Western grid\" % len(data.columns))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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12:00:00 66.528621 66.527226 66.527226 66.527226 66.527226 \n", + "2016-01-01 13:00:00 66.537612 66.536217 66.536217 66.536217 66.536217 \n", + "2016-01-01 14:00:00 66.546603 66.545208 66.545208 66.545208 66.545208 \n", + "2016-01-01 15:00:00 66.555594 66.554199 66.554199 66.554199 66.554199 \n", + "2016-01-01 16:00:00 66.564585 66.563190 66.563190 66.563190 66.563190 \n", + "2016-01-01 17:00:00 66.573576 66.572181 66.572181 66.572181 66.572181 \n", + "2016-01-01 18:00:00 66.582567 66.581171 66.581171 66.581171 66.581171 \n", + "2016-01-01 19:00:00 66.591558 66.590162 66.590162 66.590162 66.590162 \n", + "2016-01-01 20:00:00 66.600549 66.599153 66.599153 66.599153 66.599153 \n", + "2016-01-01 21:00:00 66.609540 66.608144 66.608144 66.608144 66.608144 \n", + "2016-01-01 22:00:00 66.618531 66.617135 66.617135 66.617135 66.617135 \n", + "2016-01-01 23:00:00 66.627522 66.626126 66.626126 66.626126 66.626126 \n", + "\n", + " 5 6 8 9 12 \\\n", + "2016-01-01 00:00:00 66.419336 5.379716 14.596129 14.596129 90.329182 \n", + "2016-01-01 01:00:00 66.428327 5.380444 14.598105 14.598105 90.341410 \n", + "2016-01-01 02:00:00 66.437318 5.381172 14.600080 14.600080 90.353637 \n", + "2016-01-01 03:00:00 66.446309 5.381901 14.602056 14.602056 90.365865 \n", + "2016-01-01 04:00:00 66.455299 5.382629 14.604032 14.604032 90.378092 \n", + "2016-01-01 05:00:00 66.464290 5.383357 14.606008 14.606008 90.390320 \n", + "2016-01-01 06:00:00 66.473281 5.384085 14.607984 14.607984 90.402547 \n", + "2016-01-01 07:00:00 66.482272 5.384813 14.609959 14.609959 90.414774 \n", + "2016-01-01 08:00:00 66.491263 5.385542 14.611935 14.611935 90.427002 \n", + "2016-01-01 09:00:00 66.500254 5.386270 14.613911 14.613911 90.439229 \n", + "2016-01-01 10:00:00 66.509245 5.386998 14.615887 14.615887 90.451457 \n", + "2016-01-01 11:00:00 66.518235 5.387726 14.617863 14.617863 90.463684 \n", + "2016-01-01 12:00:00 66.527226 5.388455 14.619838 14.619838 90.475911 \n", + "2016-01-01 13:00:00 66.536217 5.389183 14.621814 14.621814 90.488139 \n", + "2016-01-01 14:00:00 66.545208 5.389911 14.623790 14.623790 90.500366 \n", + "2016-01-01 15:00:00 66.554199 5.390639 14.625766 14.625766 90.512594 \n", + "2016-01-01 16:00:00 66.563190 5.391367 14.627742 14.627742 90.524821 \n", + "2016-01-01 17:00:00 66.572181 5.392096 14.629717 14.629717 90.537049 \n", + "2016-01-01 18:00:00 66.581171 5.392824 14.631693 14.631693 90.549276 \n", + "2016-01-01 19:00:00 66.590162 5.393552 14.633669 14.633669 90.561503 \n", + "2016-01-01 20:00:00 66.599153 5.394280 14.635645 14.635645 90.573731 \n", + "2016-01-01 21:00:00 66.608144 5.395009 14.637621 14.637621 90.585958 \n", + "2016-01-01 22:00:00 66.617135 5.395737 14.639597 14.639597 90.598186 \n", + "2016-01-01 23:00:00 66.626126 5.396465 14.641572 14.641572 90.610413 \n", + "\n", + " ... 2460 2465 2466 2467 \\\n", + "2016-01-01 00:00:00 ... 44.405596 3.503071 3.503071 3.503071 \n", + "2016-01-01 01:00:00 ... 44.411607 3.503545 3.503545 3.503545 \n", + "2016-01-01 02:00:00 ... 44.417618 3.504019 3.504019 3.504019 \n", + "2016-01-01 03:00:00 ... 44.423629 3.504494 3.504494 3.504494 \n", + "2016-01-01 04:00:00 ... 44.429640 3.504968 3.504968 3.504968 \n", + "2016-01-01 05:00:00 ... 44.435651 3.505442 3.505442 3.505442 \n", + "2016-01-01 06:00:00 ... 44.441662 3.505916 3.505916 3.505916 \n", + "2016-01-01 07:00:00 ... 44.447673 3.506390 3.506390 3.506390 \n", + "2016-01-01 08:00:00 ... 44.453684 3.506864 3.506864 3.506864 \n", + "2016-01-01 09:00:00 ... 44.459695 3.507339 3.507339 3.507339 \n", + "2016-01-01 10:00:00 ... 44.465706 3.507813 3.507813 3.507813 \n", + "2016-01-01 11:00:00 ... 44.471716 3.508287 3.508287 3.508287 \n", + "2016-01-01 12:00:00 ... 44.477727 3.508761 3.508761 3.508761 \n", + "2016-01-01 13:00:00 ... 44.483738 3.509235 3.509235 3.509235 \n", + "2016-01-01 14:00:00 ... 44.489749 3.509710 3.509710 3.509710 \n", + "2016-01-01 15:00:00 ... 44.495760 3.510184 3.510184 3.510184 \n", + "2016-01-01 16:00:00 ... 44.501771 3.510658 3.510658 3.510658 \n", + "2016-01-01 17:00:00 ... 44.507782 3.511132 3.511132 3.511132 \n", + "2016-01-01 18:00:00 ... 44.513793 3.511606 3.511606 3.511606 \n", + "2016-01-01 19:00:00 ... 44.519804 3.512081 3.512081 3.512081 \n", + "2016-01-01 20:00:00 ... 44.525815 3.512555 3.512555 3.512555 \n", + "2016-01-01 21:00:00 ... 44.531826 3.513029 3.513029 3.513029 \n", + "2016-01-01 22:00:00 ... 44.537837 3.513503 3.513503 3.513503 \n", + "2016-01-01 23:00:00 ... 44.543848 3.513977 3.513977 3.513977 \n", + "\n", + " 2468 2469 2470 2471 2472 \\\n", + "2016-01-01 00:00:00 3.503071 3.503071 3.503071 3.127742 11.259871 \n", + "2016-01-01 01:00:00 3.503545 3.503545 3.503545 3.128165 11.261396 \n", + "2016-01-01 02:00:00 3.504019 3.504019 3.504019 3.128589 11.262920 \n", + "2016-01-01 03:00:00 3.504494 3.504494 3.504494 3.129012 11.264444 \n", + "2016-01-01 04:00:00 3.504968 3.504968 3.504968 3.129436 11.265968 \n", + "2016-01-01 05:00:00 3.505442 3.505442 3.505442 3.129859 11.267492 \n", + "2016-01-01 06:00:00 3.505916 3.505916 3.505916 3.130282 11.269017 \n", + "2016-01-01 07:00:00 3.506390 3.506390 3.506390 3.130706 11.270541 \n", + "2016-01-01 08:00:00 3.506864 3.506864 3.506864 3.131129 11.272065 \n", + "2016-01-01 09:00:00 3.507339 3.507339 3.507339 3.131553 11.273589 \n", + "2016-01-01 10:00:00 3.507813 3.507813 3.507813 3.131976 11.275113 \n", + "2016-01-01 11:00:00 3.508287 3.508287 3.508287 3.132399 11.276638 \n", + "2016-01-01 12:00:00 3.508761 3.508761 3.508761 3.132823 11.278162 \n", + "2016-01-01 13:00:00 3.509235 3.509235 3.509235 3.133246 11.279686 \n", + "2016-01-01 14:00:00 3.509710 3.509710 3.509710 3.133669 11.281210 \n", + "2016-01-01 15:00:00 3.510184 3.510184 3.510184 3.134093 11.282734 \n", + "2016-01-01 16:00:00 3.510658 3.510658 3.510658 3.134516 11.284259 \n", + "2016-01-01 17:00:00 3.511132 3.511132 3.511132 3.134940 11.285783 \n", + "2016-01-01 18:00:00 3.511606 3.511606 3.511606 3.135363 11.287307 \n", + "2016-01-01 19:00:00 3.512081 3.512081 3.512081 3.135786 11.288831 \n", + "2016-01-01 20:00:00 3.512555 3.512555 3.512555 3.136210 11.290355 \n", + "2016-01-01 21:00:00 3.513029 3.513029 3.513029 3.136633 11.291879 \n", + "2016-01-01 22:00:00 3.513503 3.513503 3.513503 3.137057 11.293404 \n", + "2016-01-01 23:00:00 3.513977 3.513977 3.513977 3.137480 11.294928 \n", + "\n", + " 2473 \n", + "2016-01-01 00:00:00 11.259871 \n", + "2016-01-01 01:00:00 11.261396 \n", + "2016-01-01 02:00:00 11.262920 \n", + "2016-01-01 03:00:00 11.264444 \n", + "2016-01-01 04:00:00 11.265968 \n", + "2016-01-01 05:00:00 11.267492 \n", + "2016-01-01 06:00:00 11.269017 \n", + "2016-01-01 07:00:00 11.270541 \n", + "2016-01-01 08:00:00 11.272065 \n", + "2016-01-01 09:00:00 11.273589 \n", + "2016-01-01 10:00:00 11.275113 \n", + "2016-01-01 11:00:00 11.276638 \n", + "2016-01-01 12:00:00 11.278162 \n", + "2016-01-01 13:00:00 11.279686 \n", + "2016-01-01 14:00:00 11.281210 \n", + "2016-01-01 15:00:00 11.282734 \n", + "2016-01-01 16:00:00 11.284259 \n", + "2016-01-01 17:00:00 11.285783 \n", + "2016-01-01 18:00:00 11.287307 \n", + "2016-01-01 19:00:00 11.288831 \n", + "2016-01-01 20:00:00 11.290355 \n", + "2016-01-01 21:00:00 11.291879 \n", + "2016-01-01 22:00:00 11.293404 \n", + "2016-01-01 23:00:00 11.294928 \n", + "\n", + "[24 rows x 715 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.head(n=24)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Plot Profile by Zone\n", + "The daily power output is shown below. Note that the shape of the curve is the same since the same capacity factors is used for each hydro plant. However the total power output varies from one state to an other since the number of plants in a state as well as the intrinsinc capacity of the plant differ." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "zones = ['Oregon', 'Washington', 'Nevada', 'Colorado']" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def get_plant_id(zone):\n", + " plant_id = []\n", + " if zone == 'Western':\n", + " try:\n", + " plant_id = win_data.genbus.groupby('type').get_group(\n", + " 'hydro').index.values.tolist()\n", + " except KeyError:\n", + " pass\n", + " elif zone == 'California':\n", + " CA = ['Bay Area', 'Central California', 'Northern California',\n", + " 'Southeast California', 'Southwest California']\n", + " for load_zone in CA:\n", + " try:\n", + " plant_id += win_data.genbus.groupby(\n", + " ['ZoneName', 'type']).get_group(\n", + " (load_zone, 'hydro')).index.values.tolist()\n", + " except KeyError:\n", + " pass\n", + " else:\n", + " try:\n", + " plant_id = win_data.genbus.groupby(\n", + " ['ZoneName', 'type']).get_group(\n", + " (zone, 'hydro')).index.values.tolist()\n", + " except KeyError:\n", + " pass\n", + " \n", + " return plant_id" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for z in zones:\n", + " fig = plt.figure(figsize=(20, 10))\n", + " plt.title('%s' % z, fontsize=25)\n", + " ax = fig.gca()\n", + " ax.grid(color='black', axis='y')\n", + " ax.tick_params(which='both', labelsize=20)\n", + " ax.set_ylabel('Power Output (MWh)', fontsize=22)\n", + "\n", + " data[get_plant_id(z)].resample('D', label='left').sum().sum(axis=1).plot(kind='area', ax=ax)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.7rc2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/prereise/gather/hydrodata/eia/eia.py b/prereise/gather/hydrodata/eia/eia.py new file mode 100644 index 000000000..a0c3e75a1 --- /dev/null +++ b/prereise/gather/hydrodata/eia/eia.py @@ -0,0 +1,49 @@ +import os +import pandas as pd +from westernintnet.westernintnet import win_data + + +def get_profile(start='2016-01-01-00', end='2016-12-31-23'): + """Creates hydro profile using monthly capacity factors reported by EIA \ + in this `table \ + `_. + + :param string start: starting date. + :param string end: ending date. + :return: (*pandas*) -- data frame formated for REISE. The power output \ + is in MWh. + """ + start = pd.Timestamp(start) + end = pd.Timestamp(end) + + scaler = pd.read_csv(os.path.dirname(__file__) + '/cf.csv', header=None, + index_col=0, names=['timestamp', 'cf']) + scaler.index = pd.to_datetime(scaler.index) + scaler = scaler.reindex(pd.date_range(start=scaler.index[0], + end=scaler.index[-1], + freq='H')) + + if scaler.index.contains(start) is False: + print("Starting date must be within [2015-01-15, 2017-12-15]") + raise Exception("Invalid start date") + + if scaler.index.contains(end) is False: + print("Ending date must be within [2015-01-15, 2017-12-15]") + raise Exception("Invalid end date") + + if start >= end: + print("Starting date must be greater than ending date") + raise Exception("Invalid end date") + + scaler.interpolate(method='time', inplace=True) + scaler = scaler[start:end] + + hydro_plant = win_data.genbus.groupby('type').get_group('hydro') + + data = scaler.copy() + for i in hydro_plant.index: + data[i] = data.cf * hydro_plant.loc[i].GenMWMax + + data.drop('cf', inplace=True, axis=1) + + return data diff --git a/requirements.txt b/requirements.txt index 7f78b5900..dabb8847a 100644 --- a/requirements.txt +++ b/requirements.txt @@ -6,9 +6,9 @@ matplotlib==3.0.0 netCDF4==1.4.1 numpy==1.15.2 pandas==0.23.0 --e git://github.com/sjschneider/py3samsdk.git#egg=py3samsdk +-e git+https://github.com/sjschneider/py3samsdk.git#egg=py3samsdk pyproj==1.9.5.1 --e git://github.com/NREL/pywtk.git#egg=pywtk +-e git+https://github.com/NREL/pywtk.git#egg=pywtk requests==2.19.1 tqdm==4.27.0 xlrd=1.2.0