MATLAB Program for Reliability Assessment of Power Systems with Wind Farms

To ensure successful operation of wind power plants, comprehensive reliability assessment of their electrical systems is crucial. Multiple methodologies and analytical techniques exist for such evaluations, including specialized MATLAB programs specifically designed for power system reliability analysis. These programs implement probabilistic modeling and simulation algorithms to quantify system performance metrics.

This MATLAB program performs reliability evaluation for wind farm integrated power systems using advanced computational methods. The implementation incorporates key factors affecting system reliability through modular code architecture, including: weather-dependent wind power generation models using Weibull distribution functions, maintenance scheduling algorithms with availability calculations, and system configuration analysis through network topology processing. The program utilizes Monte Carlo simulation techniques combined with analytical approaches to assess reliability indices such as Loss of Load Probability (LOLP) and Expected Energy Not Supplied (EENS).

By executing this program, users gain critical insights into wind power system reliability through quantitative analysis. The outputs enable operators and engineers to perform sensitivity analyses, optimize maintenance strategies using reliability-centered maintenance algorithms, and improve system design through comparative scenario evaluations. The program's visualization modules generate reliability curves and probability distributions, facilitating data-driven decision-making for long-term system performance enhancement.