Explore MATLAB source code curated for "电力系统" with clean implementations, documentation, and examples.
Particle Swarm Optimization (PSO) implementation for reactive power optimization in power systems - a metaheuristic algorithm designed to solve constrained single-objective optimization problems by simulating collective intelligence through particle position and velocity updates.
A comprehensive study on reactive power optimization in power systems, implementing a hybrid approach combining Genetic Algorithm (GA), Simulated Annealing (SA), and Tabu Search (TS) methodologies for enhanced system performance.
Implementation of genetic algorithms for optimal power flow problems in power systems. The program consists of two main components: opf1 handles power flow model formulation, while gaopf serves as the main function to minimize fuel costs through evolutionary optimization techniques.
This program implements the Extended Kalman Filter algorithm for power system dynamic state estimation, featuring noise handling and robust state tracking capabilities.
Implementation of IEEE 24-bus power flow calculation using MATLAB, featuring detailed algorithm explanations and key function descriptions for power system analysis
Short circuit calculation in power systems involves complex and labor-intensive processes. Implementing computer programming for these calculations not only eliminates tedious manual work but also ensures high accuracy. MATLAB was chosen as the programming language due to its unparalleled superiority in array manipulation compared to other languages. Additionally, MATLAB's GUI interface offers intuitive simplicity and straightforward development processes for creating user-friendly applications.
A Simulink-based IEEE 5-bus power system model designed for reliable power system simulations. This tested model provides an accurate representation of electrical network behavior and includes implementation details for system analysis.
Application of standard genetic algorithm to solve large-scale power system optimization problems with 40-node network configuration
Active filters, primarily used in power systems for harmonic suppression and reactive power compensation, can be implemented using MATLAB's signal processing and control system toolboxes for simulation and analysis.
MATLAB source code implementation of genetic algorithms for reactive power optimization in electrical power systems