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# -*- coding: utf-8 - |
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"""Test the definition of the time index of the model. |
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SPDX-FileCopyrightText: Uwe Krien <[email protected]> |
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SPDX-License-Identifier: MIT |
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""" |
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import datetime |
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import random |
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import pandas as pd |
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import pytest |
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from oemof import solph |
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from oemof.solph import EnergySystem |
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from oemof.solph import Investment |
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from oemof.solph import Model |
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from oemof.solph import buses |
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from oemof.solph import components as cmp |
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from oemof.solph import flows |
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def _setup_energy_system(dtindex, timeincrement=None): |
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es = EnergySystem( |
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timeindex=dtindex, |
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timeincrement=timeincrement, |
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infer_last_interval=False, |
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) |
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# BUSSES |
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b_el1 = buses.Bus(label="b_el1") |
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b_diesel = buses.Bus(label="b_diesel", balanced=False) |
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es.add(b_el1, b_diesel) |
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# TEST DIESEL: |
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dg = cmp.Converter( |
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label="diesel_generator", |
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inputs={b_diesel: flows.Flow(variable_costs=2)}, |
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outputs={ |
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b_el1: flows.Flow( |
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variable_costs=1, nominal_capacity=Investment(ep_costs=500) |
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) |
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}, |
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conversion_factors={b_el1: 0.5}, |
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) |
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batt = cmp.GenericStorage( |
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label="storage", |
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nominal_capacity=1000, |
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inputs={b_el1: flows.Flow(variable_costs=3)}, |
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outputs={b_el1: flows.Flow(variable_costs=2.5)}, |
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loss_rate=0.00, |
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invest_relation_input_capacity=1 / 6, |
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invest_relation_output_capacity=1 / 6, |
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inflow_conversion_factor=1, |
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outflow_conversion_factor=0.9, |
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) |
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random.seed(1) |
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demand_values = random.sample(range(40, 120), 72) |
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demand = cmp.Sink( |
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label="demand_el", |
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inputs={ |
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b_el1: flows.Flow( |
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nominal_capacity=1, |
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fix=demand_values, |
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) |
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}, |
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) |
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es.add(dg, batt, demand) |
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return es |
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class TestParameterResult: |
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@classmethod |
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def setup_class(cls): |
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dtindex1 = pd.date_range("1/1/2012", periods=24, freq="h") |
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dtindex2 = pd.date_range("1/2/2012", periods=49, freq="30min") |
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dtindex = dtindex1.union(dtindex2) |
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es = _setup_energy_system(dtindex) |
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model = Model(es) |
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model.receive_duals() |
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model.solve() |
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results = solph.Results(model) |
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cls.flows = results["flow"] |
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cls.storage_content = results["storage_content"] |
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cls.es = es |
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cls.model = model |
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View Code Duplication |
def test_timesteps_timeincrements_with_storage_charging(self): |
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assert ( |
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self.storage_content.iloc[0] == self.storage_content.iloc[-1] |
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).all() |
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charge = self.flows[(self.es.node["b_el1"], self.es.node["storage"])] |
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# Calculate the next storage content and verify it with the storage |
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# content of the results (charging). |
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# Charging - timestep (ts) with its timeincrement (ti) |
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time = [(23, 1), (24, 0.5)] |
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for ts, ti in time: |
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content_manual = self.storage_content.iloc[ts, 0] + charge.iloc[ |
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ts |
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] * ti |
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content_model = self.storage_content.iloc[ts + 1, 0] |
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assert content_manual == pytest.approx(content_model) |
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assert self.es.timeincrement[ts] == ti |
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View Code Duplication |
def test_timesteps_timeincrements_with_storage_discharging(self): |
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# Storage content at the last time point is equal to the content of |
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# the first time point because the storage is balanced. |
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assert ( |
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self.storage_content.iloc[0] == self.storage_content.iloc[-1] |
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).all() |
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discharge = self.flows[ |
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(self.es.node["storage"], self.es.node["b_el1"]) |
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] |
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# Calculate the next storage content and verify it with the storage |
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# content of the results (discharging). |
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# Discharging - timestep (ts) with its timeincrement (ti) |
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time = [(7, 1), (40, 0.5)] |
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for ts, ti in time: |
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content_manual = ( |
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self.storage_content.iloc[ts, 0] |
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- (discharge.iloc[ts] + (discharge.iloc[ts] * 1 / 9)) * ti |
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) |
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content_model = self.storage_content.iloc[ts + 1, 0] |
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assert content_manual == pytest.approx(content_model) |
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assert self.es.timeincrement[ts] == ti |
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def test_timeincrements(self): |
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assert self.es.timeincrement.sum() == 48 |
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def test_time_index_with_last_time_point(self): |
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storage_content = self.storage_content[self.es.node["storage"]] |
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assert storage_content.iloc[0] == storage_content.iloc[-1] |
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charge = self.flows[(self.es.node["b_el1"], self.es.node["storage"])] |
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assert storage_content.index[0] == datetime.datetime( |
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2012, 1, 1, 0, 0, 0 |
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) |
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assert charge.index[0] == datetime.datetime(2012, 1, 1, 0, 0, 0) |
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assert storage_content.index[-1] == datetime.datetime( |
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2012, 1, 3, 0, 0, 0 |
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) |
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assert charge.index[-1] == datetime.datetime(2012, 1, 2, 23, 30, 0) |
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def test_numeric_index(): |
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es = _setup_energy_system(dtindex=None, timeincrement=24 * [1]+ 48 * [0.5]) |
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model = Model(es) |
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model.receive_duals() |
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model.solve() |
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results = solph.Results(model) |
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flow = results["flow"] |
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assert flow.index[0] == 0 |
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assert flow.index[-1] == pytest.approx(47.5) |
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assert len(flow) == 72 |
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storage_content = results["storage_content"] |
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assert (storage_content.iloc[0] == storage_content.iloc[-1]).all() |
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assert len(storage_content) == 73 |
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charge = flow[(es.node["b_el1"], es.node["storage"])] |
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# Calculate the next storage content and verify it with the storage |
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# content of the results (charging). |
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# Charging - timestep (ts) with its timeincrement (ti) |
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time = [(23, 1), (24, 0.5)] |
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for ts, ti in time: |
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content_manual = storage_content.iloc[ts, 0] + charge.iloc[ |
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ts |
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] * ti |
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content_model = storage_content.iloc[ts + 1, 0] |
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assert content_manual == pytest.approx(content_model) |
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assert es.timeincrement[ts] == ti |
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oemof /
oemof-solph
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