Power System Load Flow Calculation Using P-Q Decomposition Method
Implementation of power system load flow calculation using the P-Q decomposition method with IEEE-14 standard bus data, featuring algorithm explanation and code structure details.
Explore MATLAB source code curated for "电力系统" with clean implementations, documentation, and examples.
Implementation of power system load flow calculation using the P-Q decomposition method with IEEE-14 standard bus data, featuring algorithm explanation and code structure details.
This paper presents award-winning research with complete source code implementation. The proposed genetic algorithm-based piecewise bidding transaction algorithm for electricity markets was implemented and validated on the MATLAB platform using two common bidding curve types: step-type bidding curves and linear bidding curves. The computational results demonstrate that while the algorithm's optimization performance varies slightly depending on bidding curve characteristics, it successfully achieves optimized electricity procurement costs in both scenarios. Experimental results confirm the algorithm's effectiveness and feasibility in piecewise bidding models, showing robustness across different bidding curve formats.
A comprehensive RBF neural network implementation designed for short-term load forecasting in power systems, featuring data preprocessing, network training, and prediction capabilities.
GAPSO algorithm represents an advanced genetic particle swarm optimization method extensively applied in low-frequency oscillation control studies within power systems. The algorithm combines evolutionary operations with swarm intelligence to achieve superior optimization performance.
Implementation of QPSO Algorithm for Large-Scale Power System Optimization with 40-Node Case Study
Implementation of Prony algorithm for low-frequency oscillation analysis in power systems, including frequency and phase identification, damping calculation, and stability assessment through signal processing techniques
MATLAB programming for simulating unit commitment models to optimize spinning reserve in wind power-integrated electrical power systems, including code implementation approaches for constraint handling and optimization algorithms.
A classic small-signal stability benchmark featuring two-area, four-machine system with three oscillatory modes - originally from "Power System Stability and Control"
Power System Static Stability Analysis using Small-Disturbance Method with Basic Algorithm Implementation
MATLAB Applications in Power Systems: Unified Power Flow Controller (UPFC) Simulation and Analysis