A novel model of large-scale hydrothermal power system optimal scheduling

This work presents a new application of linear programming with multiembedded blocks [LPMEB] for optimal scheduling of multilevel interconnected hydrothermal power system. The multiembedded structure is suitable for the multilevel 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 hydropart is linear model with the fixed-head hydroplant 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.