An Intelligent Soft Computing Technique for Optimal Power Dispatch of Hydrothermal Systems

摘要

The fundamental criteria of STHTS in an electric power system are to optimally regulate the power generation of hydrothermal units while addressing the standard system constraints. The scheduling interval can be a day or even few days. STHTS is a hypothetical non-linear, non-convex and non-smooth stochastic optimization problem. The classical technique may not work well, for this kind of problems. An ITLBO algorithm has been proposed in this paper to encounter such a complicated problem. The algorithm has been built based on three stages of training namely Teaching Phase, Learning Phase and Feedback phase. It is a unique optimization algorithm which does not require any algorithmic tuning parameters which increases the search space in arriving at the optimal solution. The proposed ITLBO algorithm is applied on a four hydro and three thermal test system and simulation results are compared with that of recent experimental results available in the literature.