A Novel Model Of Large-Scale Hydrothermal Power System Optimal Scheduling

This paper presents a new application of linear programming with multi-embedded blocks [LPMEB] for optimal scheduling of multi-level interconnected hydrothermal power system. The multi-embedded structure is suitable for the multi-level power system operation and the autonomy and confidentiality of each embedded system are maximized while assuring the global economy to the whole system. In this model, each block is a local linear programming [LP] model, or network flow programming [NP] model with side constraints, or their combinations, and it can be embeddable. The hydro-part is linear model with the fixed-head hydro-plant model. A direct method based on the Revised Simplex Algorithm is proposed to resolve the LPMEB problem, and can be implemented via applied distributed computing technique. Numerical results for the interconnected hydrothermal power system of Three Gorges, China, are presented.