Pvsandiainv

Pvsandiainv

PySAM.Pvsandiainv.default(config) → Pvsandiainv

Load defaults for the configuration config. Available configurations are:

• None

Note

Some inputs do not have default values and may be assigned a value from the variable’s Required attribute. See variable attribute descriptions below.

PySAM.Pvsandiainv.from_existing(data, optional config) → Pvsandiainv

Share data with an existing PySAM class. If optional config is a valid configuration name, load the module’s defaults for that configuration.

PySAM.Pvsandiainv.new() → Pvsandiainv

PySAM.Pvsandiainv.wrap(ssc_data_t) → Pvsandiainv

Load data from a PySSC object.

Warning

Do not call PySSC.data_free on the ssc_data_t provided to wrap()

Pvsandiainv is a wrapper for the SSC compute module cmod_pvsandiainv.cpp

Interdependent Variables

The variables listed below are interdependent with other variables. If you change the value of one of these variables, you may need to change values of other variables. The SAM user interface manages these interdependent variables, but in PySAM, it is up to you change the value of all interdependent variables so they are consistent. See Interdependent Variables for examples and details.

• None

Functions

class PySAM.Pvsandiainv.Pvsandiainv

This class contains all the variable information for running a simulation. Variables are grouped together in the subclasses as properties. If property assignments are the wrong type, an error is thrown.

assign(dict) → None

Assign attributes from nested dictionary, except for Outputs

nested_dict = { 'Sandia Inverter Model': { var: val, ...}, ...}

execute(int verbosity) → None

Execute simulation with verbosity level 0 (default) or 1

export() → dict

Export attributes into nested dictionary

get_data_ptr() → Pointer

Get ssc_data_t pointer

replace(dict) → None

Replace attributes from nested dictionary, except for Outputs. Unassigns all values in each Group then assigns from the input dict.

nested_dict = { 'Sandia Inverter Model': { var: val, ...}, ...}

unassign(name) → None

Unassign a value in any of the variable groups.

value(name, optional value) → None | float | dict | sequence | str

Get or set by name a value in any of the variable groups.

SandiaInverterModel Group

class PySAM.Pvsandiainv.Pvsandiainv.SandiaInverterModel

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

SandiaInverterModel_vals = { var: val, ...}

export() → dict

Export attributes into dictionary.

replace(dict) → None

Replace attributes from dictionary, unassigning values not present in input dict.

SandiaInverterModel_vals = { var: val, ...}

c0

Defines parabolic curvature of relationship between ac power and dc power at reference conditions [1/W]

Required: True

Type:

float

Type:

C0

c1

Parameter allowing Pdco to vary linearly with dc voltage input [1/V]

Required: True

Type:

float

Type:

C1

c2

Parameter allowing Pso to vary linearly with dc voltage input [1/V]

Required: True

Type:

float

Type:

C2

c3

Parameter allowing C0 to vary linearly with dc voltage input [1/V]

Required: True

Type:

float

Type:

C3

dc

DC power input to inverter [Watt]

Required: True

Type:

sequence

dc_voltage

DC voltage input to inverter [Volt]

Constraints: LENGTH_EQUAL=dc

Required: True

Type:

sequence

paco

Max AC power rating [Wac]

Required: True

Type:

float

pdco

DC power level at which Paco is achieved [Wdc]

Required: True

Type:

float

pntare

Parasitic AC consumption [Wac]

Required: True

Type:

float

pso

DC power level required to start inversion [Wdc]

Required: True

Type:

float

vdco

DV voltage level at which Paco is achieved [Volt]

Required: True

Type:

float

Outputs Group

class PySAM.Pvsandiainv.Pvsandiainv.Outputs

assign(dict) → None

Assign attributes from dictionary, overwriting but not removing values.

Outputs_vals = { var: val, ...}

export() → dict

Export attributes into dictionary.

replace(dict) → None

Replace attributes from dictionary, unassigning values not present in input dict.

Outputs_vals = { var: val, ...}

ac

AC power output [Wac]

Type:

sequence

acpar

AC parasitic power [Wac]

Type:

sequence

cliploss

Power loss due to clipping (Wac) [Wac]

Type:

sequence

eff_inv

Conversion efficiency [0..1]

Type:

sequence

ntloss

Power loss due to night time tare loss (Wac) [Wac]

Type:

sequence

plr

Part load ratio [0..1]

Type:

sequence

soloss

Power loss due to operating power consumption (Wac) [Wac]

Type:

sequence