Master's Thesis on Electricity Market Stability Analysis with MATLAB Implementation

This master's thesis conducts an in-depth analysis of electricity market stability, examining critical factors including electricity demand-supply dynamics, governmental policy impacts, and market participant behaviors. The research employs sophisticated MATLAB algorithms to model market equilibrium conditions and stability thresholds, incorporating time-series analysis and stochastic modeling techniques to simulate real-world market fluctuations.

The MATLAB implementation features a modular code architecture with key functions including: demand forecasting algorithms using ARIMA models, supply curve simulation with generator capacity constraints, policy impact assessment modules, and agent-based modeling for market participant behavior. The codebase utilizes MATLAB's Optimization Toolbox for solving economic dispatch problems and employs Monte Carlo simulations to evaluate market stability under various uncertainty scenarios. Each simulation module generates comprehensive sensitivity analyses and stability indices, providing quantitative metrics for risk assessment.

This research contributes advanced analytical frameworks and computational tools for electricity market stakeholders, offering data-driven insights and strategic recommendations to enhance market resilience. The MATLAB code implementation serves as an extensible platform for further research, featuring well-documented functions and customizable parameters for adapting to different market structures and regulatory environments.