MATLAB Implementation for Power System Optimization Using Equal Incremental Cost Principle

In this article, we explore the significance of power system optimization and demonstrate how to implement 24-hour load distribution for a power plant using the equal incremental cost principle. Power system optimization is crucial for ensuring efficient system operation, which helps reduce costs and minimize energy waste. By applying the equal incremental cost principle, we achieve load balancing while maintaining system safety and stability, maximizing resource utilization. This optimization process requires comprehensive consideration of multiple factors, including electricity demand, power plant capacity, and grid load-bearing capabilities. Consequently, we employ sophisticated algorithms and mathematical models to compute optimal load distribution schemes. The implementation typically involves MATLAB coding for solving optimization problems, utilizing functions like fmincon for constrained nonlinear optimization or linear programming solvers for cost minimization. Through our optimization approach, we enhance the power system's efficiency, reliability, and environmental sustainability by algorithmically determining generation schedules that equalize incremental costs across units while satisfying demand constraints.