Explore MATLAB source code curated for "算例" with clean implementations, documentation, and examples.
This MATLAB-based program implements IEEE standard test system case studies, providing data for 9-bus, 14-bus, 30-bus, 39-bus, and 57-bus systems. The data is directly imported into the main power flow program for computational analysis using numerical methods and matrix operations.
MATLAB implementation of the sequential dynamic programming algorithm for forward minimum value calculation, including a practical example, reference PDF documentation, and beginner-friendly personal annotations with code explanations
Implementation of PQ decomposition method for load flow analysis with three test cases included. Users can perform additional calculations by modifying the input data files. The implementation demonstrates how to structure power system data and apply iterative solving techniques.
Implementation of both standard and iterative Tikhonov regularization methods with detailed numerical examples and code-level explanations
A comprehensive MATLAB genetic algorithm example demonstrating complete implementation workflow, featuring selection, crossover, and mutation operations with practical code explanations
Newton-Raphson Power Flow MATLAB Simulation Implementation and Analysis for IEEE 30-Bus System
Comprehensive directory of genetic algorithms with multiple practical examples, featuring code implementation details and algorithm explanations to accelerate learning for beginners
An implementation of multi-objective optimization using genetic algorithms with dynamic visualization of Pareto front distribution during the optimization process.
General-purpose semidefinite programming software package including two practical examples and comprehensive user manual
A practical calculation demonstrating wind turbine power conversion efficiency, based on fluid dynamics actuator disc theory, reveals the theoretical maximum conversion limit cannot exceed 0.47 (Betz Limit). Implementation approaches include momentum theory calculations and power coefficient optimization algorithms.