Reactive Power Optimization Program for Power Systems Based on Genetic Algorithm

This reactive power optimization program for power systems employs a genetic algorithm approach to facilitate superior power system optimization. The implementation utilizes standard MATLAB programming, incorporating key components such as population initialization, fitness evaluation based on power flow calculations, tournament selection, and adaptive mutation operators. Through this program, users can obtain more precise and efficient optimization results, thereby improving power system performance and operational efficiency. Specifically designed for power system optimization, the program automatically searches for optimal reactive power compensation schemes through iterative evolution processes. The algorithm handles constraints through penalty functions and utilizes elitism preservation to maintain solution quality. It provides effective solutions for various applications including power plants, substations, and distribution networks. The program demonstrates compatibility with both traditional power systems and renewable energy integration scenarios. Featuring an intuitive MATLAB-based interface with clear parameter configuration and visualization of convergence curves, the program offers ease of use and understanding. Users can easily modify objective functions and constraints to suit specific requirements. We encourage you to implement this genetic algorithm-based reactive power optimization program to achieve significant improvements in your power system's stability and economic operation.