edisgo.flex_opt.q_control

Functions

get_q_sign_generator(reactive_power_mode)	Get the sign of reactive power in generator sign convention.
get_q_sign_load(reactive_power_mode)	Get the sign of reactive power in load sign convention.
fixed_cosphi(active_power, q_sign, power_factor)	Calculates reactive power for a fixed cosphi operation.

Module Contents

edisgo.flex_opt.q_control.get_q_sign_generator(reactive_power_mode)

Get the sign of reactive power in generator sign convention.

In the generator sign convention the reactive power is negative in inductive operation (reactive_power_mode is ‘inductive’) and positive in capacitive operation (reactive_power_mode is ‘capacitive’).

Parameters:

reactive_power_mode (str) – Possible options are ‘inductive’ and ‘capacitive’.

Returns:

Sign of reactive power in generator sign convention.

Return type:

int

edisgo.flex_opt.q_control.get_q_sign_load(reactive_power_mode)

Get the sign of reactive power in load sign convention.

In the load sign convention the reactive power is positive in inductive operation (reactive_power_mode is ‘inductive’) and negative in capacitive operation (reactive_power_mode is ‘capacitive’).

Parameters:

reactive_power_mode (str) – Possible options are ‘inductive’ and ‘capacitive’.

Returns:

Sign of reactive power in load sign convention.

Return type:

int

edisgo.flex_opt.q_control.fixed_cosphi(active_power, q_sign, power_factor)

Calculates reactive power for a fixed cosphi operation.

Parameters:

• active_power (pandas.DataFrame) – Dataframe with active power time series. Columns of the dataframe are names of the components and index of the dataframe are the time steps reactive power is calculated for.

• q_sign (pandas.Series or int) – q_sign defines whether the reactive power is positive or negative and must either be -1 or +1. In case q_sign is given as a series, the index must contain the same component names as given in columns of parameter active_power.

• power_factor (pandas.Series or float) – Ratio of real to apparent power. In case power_factor is given as a series, the index must contain the same component names as given in columns of parameter active_power.

Returns:

Dataframe with the same format as the active_power dataframe, containing the reactive power.

Return type:

pandas.DataFrame