LineThermalModel.jl

Thermal modeling for transmission lines, in Julia. Compliant with IEEE Standard 738-2012.

Installation

From Julia prompt:

]dev https://github.com/kersulis/LineThermalModel.jl

IEEE 738 functions

The following functions are exported. Use ? to see input and output descriptions for any function; all are well-documented.

• eq2c_N_Re
• eq3a_q_c1
• eq3b_q_c2
• eq4a_K_angle
• eq6_T_film
• eq8_q_s
• eq9_theta
• eq13a_mu_f
• eq14a_p_f
• eq15a_k_f
• eq_omega
• eq16a_H_c
• eq16b_delta
• eq17a_Z_c
• eq17b_chi
• eqtable2_C
• eq18_Q_s
• eq19_Q_se
• eq20_K_solar
• eq_eta_c
• eq_eta_r

Equations are named according to their numbers in IEEE Standard 738. The equation number is followed by an underscore, then by the name of the parameter returned.

ACSR data and interpolation

Return a table of ACSR data in English or SI units as follows:

table, labels = acsr_table_english()
table, labels = acsr_table_si()

More importantly, there is a simple lookup algorithm for estimating ACSR conductor type based on a line's current rating (in Amps) and base voltage (in Volts):

a = acsr_interpolation(I_lim, V_base; metric=true)

In the line above, a is an instance of ACSRSpecsMetric; with metric=false, it would be an instance of ACSRSpecsEnglish. Either way, a contains a best-estimate ACSR assignment for the given current limit and base voltage.

Credit to Mads Almassalkhi for ACSR functionality.

Line length estimation

The length of a line may be estimated as follows. Use ? or check the source for detailed descriptions of each argument.

length = estimate_length(S_base, V_base, R_pu, R_cond, bundle)

PowerModels.jl integration

While PowerModels is not a dependency of LineThermalModel.jl, two of its functions are overloaded to work with the network_data dictionary structure described here: acsr_interpolation and estimate_length. When either of these functions is given a network_data dictionary, it will return a dictionary with the same keys as network_data["branch"].