Optimal Power Flow for Three-Bus System

This project uses Pyomo to solve an Optimal Power Flow (OPF) problem for a three-bus power system. The model minimizes generation costs while adhering to system constraints such as power flow limits, generator capacities, and load demands.

Features

• Abstract model using Pyomo.
• Cost function and constraint-based optimization.
• Supports nonlinear solvers like IPOPT.
• Reads system data from an Excel file (opfthreebus.xlsx).

Requirements

• Python 3.x
• Libraries: pyomo, pandas, openpyxl
• Solver: IPOPT

Input File

opfthreebus.xlsx:

• bus_num: Bus numbers.
• a: Cost coefficients.
• Pmax: Maximum generation.
• Pmin: Minimum generation.
• Pd: Load demand.
• imp: Impedance matrix.

Outputs

• Optimal power generation for each bus.
• Voltage angles (theta) for each bus.
• Results written to the console and formatted output via Pyomo.

License

Open source, MIT License.