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# -*- coding: utf-8 -*- |
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"""Tests for Flows with NonConvex attribute |
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SPDX-FileCopyrightText: Deutsches Zentrum für Luft- und Raumfahrt e.V. |
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SPDX-FileCopyrightText: Patrik Schönfeldt |
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SPDX-License-Identifier: MIT |
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""" |
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from oemof import solph |
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from . import _run_flow_model |
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def test_initial_status_off(): |
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# negative costs but turned off initially |
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flow = solph.flows.Flow( |
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nominal_capacity=10, |
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nonconvex=solph.NonConvex(initial_status=0, minimum_downtime=5), |
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variable_costs=-1, |
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) |
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flow_result = _run_flow_model(flow) |
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assert (flow_result["flow"][:-1] == 5 * [0] + 5 * [10]).all() |
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def test_maximum_shutdowns(): |
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flow = solph.flows.Flow( |
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nominal_capacity=10, |
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min=0.5, |
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nonconvex=solph.NonConvex(maximum_shutdowns=1), |
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variable_costs=[1, -2, 1, 1, 1, -5, 1, 1, 1, -2], |
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) |
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flow_result = _run_flow_model(flow) |
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assert list(flow_result["status"][:-1]) == [0, 1, 1, 1, 1, 1, 0, 0, 0, 1] |
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def test_maximum_startups(): |
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flow = solph.flows.Flow( |
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nominal_capacity=10, |
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min=0.5, |
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nonconvex=solph.NonConvex(maximum_startups=1), |
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variable_costs=[1, -4, 1, 1, 1, -5, 1, 1, 5, -3], |
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) |
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flow_result = _run_flow_model(flow) |
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assert list(flow_result["status"][:-1]) == [0, 1, 1, 1, 1, 1, 0, 0, 0, 0] |
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def test_initial_status_on(): |
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# positive costs but turned on initially |
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flow = solph.flows.Flow( |
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nominal_capacity=10, |
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min=0.5, |
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nonconvex=solph.NonConvex(initial_status=1, minimum_uptime=3), |
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variable_costs=1, |
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) |
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flow_result = _run_flow_model(flow) |
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assert (flow_result["flow"][:-1] == 3 * [5] + 7 * [0]).all() |
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def test_activity_costs(): |
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# activity costs higher then revenue for first time steps |
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flow = solph.flows.Flow( |
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nominal_capacity=10, |
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min=0.1, |
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max=[0.1] + [i * 0.1 for i in range(1, 10)], |
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nonconvex=solph.NonConvex(activity_costs=9 * [1] + [10]), |
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variable_costs=-0.45, |
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) |
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flow_result = _run_flow_model(flow)["flow"][:-1] |
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assert (flow_result == [0, 0, 0, 3, 4, 5, 6, 7, 8, 0]).all() |
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def test_inactivity_costs(): |
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# inactivity costs lower then running costs for middle time steps |
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flow = solph.flows.Flow( |
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nominal_capacity=10, |
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min=[i * 0.1 for i in range(10)], |
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nonconvex=solph.NonConvex(inactivity_costs=9 * [1] + [10]), |
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variable_costs=0.45, |
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) |
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flow_result = _run_flow_model(flow)["flow"][:-1] |
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assert (flow_result == [0, 1, 2, 0, 0, 0, 0, 0, 0, 9]).all() |
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View Code Duplication |
def test_startup_costs_start_off(): |
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price_pattern = [1, 1, 1, -4, 1, 1, 1, -4, 1, 1] |
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# startup costs higher then effect of shutting down |
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flow = solph.flows.Flow( |
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nominal_capacity=10, |
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min=0.1, |
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nonconvex=solph.NonConvex(startup_costs=5, initial_status=0), |
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variable_costs=price_pattern, |
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) |
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flow_result = _run_flow_model(flow) |
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assert (flow_result["flow"][:-1] == [0, 0, 0, 10, 1, 1, 1, 10, 0, 0]).all() |
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View Code Duplication |
def test_startup_costs_start_on(): |
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price_pattern = [1, 1, 1, -4, 1, 1, 1, -4, 1, 1] |
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# startup costs higher then effect of shutting down |
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flow = solph.flows.Flow( |
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nominal_capacity=10, |
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min=0.1, |
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nonconvex=solph.NonConvex(startup_costs=5, initial_status=1), |
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variable_costs=price_pattern, |
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) |
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flow_result = _run_flow_model(flow) |
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assert (flow_result["flow"][:-1] == [1, 1, 1, 10, 1, 1, 1, 10, 0, 0]).all() |
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def test_shutdown_costs_start_on(): |
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price_pattern = [1, 1, 1, -4, 1, 1, 1, -4, 1, 1] |
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# shutdown costs higher then effect of shutting down |
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flow = solph.flows.Flow( |
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nominal_capacity=10, |
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min=0.1, |
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nonconvex=solph.NonConvex(shutdown_costs=5, initial_status=1), |
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variable_costs=price_pattern, |
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) |
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flow_result = _run_flow_model(flow) |
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assert (flow_result["flow"][:-1] == [1, 1, 1, 10, 1, 1, 1, 10, 1, 1]).all() |
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oemof /
oemof-solph
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