Short-term optimized dispatching method for cascade hydropower station

Abstract

The invention discloses a short-term optimized dispatching method for a cascade hydropower station. The invention discloses a novel 'grading' algorithm suitable for the energy abandoning and consumption of short-term optimized dispatching for a cascade hydropower station. The short-term optimized dispatching method disclosed by the invention adopts a technology of cascade and in-plant two-stage coordination control; each hydropower station of the cascade hydropower station is calculated to obtain the discharge flow and the power generation water head of each reservoir; the optimal turn-on and turn-off plan of each power plant is determined by virtue of mixed integer programming on this basis; then load optimized distribution is carried out on a unit group by enabling the power generation amount to be the maximum by virtue of dynamic programming and according to a given water quantity. Meanwhile, after the process of obtaining the power generation amount of each hydropower station, the result can also be fed back to a cascade system, and the cascade system takes the result as a constraint condition and continues to repeatedly utilize the 'grading' algorithm to carry out iterative calculation. The short-term optimized dispatching method disclosed by the invention is capable of remarkably alleviating the energy abandoning contradiction of a large-scale hydropower system, and increasing the running and dispatching levels of the in-plant unit.

Description

Technical field [0001] The invention belongs to the cross-technical field of hydrology and operation research, and more specifically, relates to a short-term optimal dispatch method for cascade hydropower stations. Background technique [0002] The short-term optimal dispatch of hydropower systems can be considered as a deterministic optimization problem. There are traditional mathematical programming methods and intelligent algorithms to solve short-term dispatch problems. Intelligent algorithms have the disadvantage of unstable optimal solutions when solving this problem. At present, there are no examples of using intelligent algorithms to successfully solve the short-term optimization scheduling problem of large-scale hydropower systems. Therefore, current short-term hydropower dispatching problems are mainly solved by traditional linear programming or dynamic programming methods. However, using traditional methods to solve the problem requires linearization of the constrain...

AI Technical Summary

Problems solved by technology

[0005] According to reports, developed countries pay more attention to the ecological, environmental and social impacts of cascade hydropower dispatching, and there are few reports on the research on hydropower waste energy consumption technology

In China, major electric power and power grid companies have successively developed advanced application systems for cascade hydropower dispatching. However, due to the complexity of the problems and the wide range of issues involved, there is still a considerable gap in the production and practicality of the developed systems.

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