Explore MATLAB source code curated for "电力系统" with clean implementations, documentation, and examples.
Implementation of Particle Swarm Optimization (PSO) for power system optimal power flow optimization - a robust program featuring efficient convergence and practical application capabilities
This program implements wavelet transform for online monitoring of power systems. Detection signals in power system monitoring often contain substantial background noise, making analysis challenging. The wavelet transform approach effectively addresses this issue. The implementation uses db3 wavelet for 5-level decomposition, producing detailed and approximation signals at each level through a multi-resolution analysis framework.
This resource provides a convenient implementation of genetic algorithms for reactive power optimization in electrical power systems, featuring code examples and algorithm explanations.
An Elman neural network-based prediction program designed for short-term load forecasting in electrical power systems, featuring recurrent network architecture for time-series analysis
This MATLAB source code provides implementation for reactive power optimization in power systems. Students and researchers working on power system optimization can download and study this code, which offers practical programming examples and algorithm demonstrations for reactive power control applications.
SIMULINK simulation model designed for power system harmonic suppression, with potential compatibility issues in certain environments
Implementation of standard Particle Swarm Optimization (PSO) algorithm for large-scale power system optimization with 40-node problem configuration
MATLAB implementation of power system reliability assessment algorithm using RTS79 as demonstration case study
MATLAB function program for power system harmonic generation, capable of producing various harmonic signals including harmonics, voltage swells, voltage interruptions, voltage sags, and transient impulse signals. The implementation uses waveform superposition and modulation techniques to simulate real-world power quality disturbances.
Comprehensive collection of DSTATCOM Simulink models demonstrating power system applications, control algorithms, and performance analysis with detailed implementation code.