mosaik-pv 1.2.1

PV Simulator for Mosaik

This component was initially created by Cornelius Steinbrink based on PyPVSim by Daniel Soto, which is licensed under CC-BY 3.0). It was further extended by Thomas Raub and updated by Jan Sören Schwarz and Danila Valko.

The PV system simulator calculates active power output based on the Direct Normal Irradiance (DNI, [W/m2]) input and current time (hourly).

PV system output data:

• P[MW] - active power produced

PV system input data:

• DNI[W/m2] - Direct Normal Irradiance

• scale_factor - multiplies output [coef], might be used as a contol signal

Configuration:

• latitude [grad]

• area - insolated panels area [m2]

• efficiency [coef]

• el_tilt - elevation [grad]

• az_tilt - azimuth [grad]

An example scenario is located in the ´demo´ folder.

Other options

Please pay attention to the input data. If you want to use only Direct Normal Irradiance input data as part of the co-simulation, then mosaik-pv is suitable, if you want to use full weather information (global irradiance, wind speed, air temperature and pressure) then mosaik-pvlib is suitable. If you are satisfied with historical performance estimates for a particular location or have no other input data, then mosaik-pvgis is the best solution which is based on PVGIS performance data.

Installation

pip install mosaik-pv

If you don’t want to install this through PyPI, you can use pip to install the requirements.txt file:

pip install -r requirements.txt

• To use this, you have to install at least version 3.2.0 of mosaik.

• It is recommended, to use the mosaik-csv library to properly import DNI data.

How to Use

Specify simulators configurations within your scenario script:

LAT = 32.0
AREA = 1
EFF = 0.5
EL = 32.0
AZ = 0.0
START = "2014-01-01 01:00:00"
END = 3600 * 24
STEP_SIZE = 60 * 60
DNI_DATA = "solar_data.csv"


SIM_CONFIG = {
    'DNISim': {
        'python': 'mosaik_csv:CSV'
    },
    'PVSim': {
        'python': 'mosaik_components.pv.pvsimulator:PVSimulator'
    },
    ...
}

Initialize the PV- and DNI-simulator:

# Create DNI simulator
DNI_sim = world.start("DNISim",
                    sim_start=START,
                    datafile=DNI_DATA)

# Create PV system with certain configuration
pv_sim = world.start(
                    "PVSim",
                    start_date=START,
                    step_size=STEP_SIZE)

Instantiate model entities:

DNI_model = DNI_sim.DNI.create(1)

pv_model = pv_sim.PV.create(1, latitude=LAT, area=AREA,
                        efficiency=EFF, el_tilt=EL, az_tilt=AZ)

Connect DNI input with PV-simulator:

world.connect(
                    DNI_model[0],
                    pv_model[0],
                    ("DNI", "DNI[W/m2]"),
                )

CSV-Formatting

For the simulator to work correctly, both .csv files have to be specifically formatted!

DNI-data

The meteo_data.csv is formatted accordingly to the conventions of the mosaik_csv simulator:

Wind
Date,wind_speed
YYYY-MM-DD HH:mm:ss,v1
YYYY-MM-DD HH:mm:ss,v2
...
DNI
Time,DNI
YYYY-MM-DD HH:mm:ss,2.1,92.0,0.0,0.0

• Each entry in the .csv needs a Date in the YYYY-MM-DD HH:mm:ss format and a set of values.

Changelog

1.2.1 - 2024-03-06

• Minor changes: scipy dependance was removed

1.2 - 2024-02-13

• Naming convention fixed

• Minor changes

1.1 - 2024-01-11

• Restructured as a mosaik component

• Active power output in [MW]

• scale_factor added as input

• Readme and examples added

1.0 - 2023-05-10

• Initial release of version implemented by Cornelius Steinbrink

Authors

The adapter was initially developed by Cornelius Steinbrink based on solution by Daniel Soto, extended by Thomas Raub and updated by Jan Sören Schwarz and Danila Valko.