Multi period Transmission Expansion Planning Module

This module is under development

This module provides functions for multi-period transmission expansion planning with investment states applied over time.

Functions are found in pyflow_acdc.ACDC_MultiPeriod_TEP.

Multi-period Multi-scenario Dynamic TEP

multi_period_MS_TEP(grid, NPV=True, n_years=10, Hy=8760, discount_rate=0.02, clustering_options=None, ObjRule=None, solver='bonmin', obj_scaling=1.0)

Solves dynamic transmission expansion planning across investment periods using clustered time frames/scenarios.

Parameter	Type	Description	Default
grid	Grid	Grid to analyze	Required
NPV	bool	Include NPV formulation for operational costs	True
n_years	int	Number of years for discounting	10
Hy	int	Hours per year	8760
discount_rate	float	Discount rate	0.02
clustering_options	dict	Time-series clustering configuration	None
ObjRule	dict	OPF objective weights	None
solver	str	Pyomo solver name	‘bonmin’
obj_scaling	float	Objective scaling factor	1.0

Returns

• Model object

• Model results

• Timing information dictionary

• Solver statistics dictionary

• Dynamic TEP time-series results

Example

import pyflow_acdc as pyf

grid, res = pyf.NS_MTDC()
obj = {'Energy_cost': 1}
model, model_results, timing_info, solver_stats, ts_results = pyf.multi_period_MS_TEP(
    grid,
    ObjRule=obj,
    solver='bonmin'
)

Export Dynamic Investment Period Plots

export_and_save_inv_period_svgs(grid, Price_Zones=False, folder_name=None)

Exports one SVG network plot per investment period using the solved dynamic investment states.

Run OPF on One Investment Period

run_opf_for_investment_period(grid, investment_period, ObjRule=None, solver='ipopt', tee=False, limit_flow_rate=True, obj_scaling=1.0, export_excel=True, export_location='MP_investment_periods', file_name=None, print_table=False, decimals=3, plot_folium={})

Applies one dynamic investment-period state to the grid, runs OPF, and optionally exports period results to Excel and Folium map.

Run OPF on All Investment Periods

run_opf_for_all_investment_periods(grid, ObjRule=None, solver='ipopt', tee=False, limit_flow_rate=True, obj_scaling=1.0, export_excel=True, export_location=None, file_name_prefix=None, print_table=False, decimals=3, plot_folium=None)

Runs OPF for every dynamic investment period and exports one result file per period.