A daily operation mode optimization method for pumped storage power plants based on marginal power consumption

Abstract

The invention discloses a pumped-storage plant daily operation mode optimization method based on marginal electricity generation energy consumption. A set load priority sequence is determined according to unit electricity generation energy consumption of thermal power generating sets, the working positions and generated output of all thermal power stations are optimized on the basis of the load priority sequence, system peak load regulation needs and operation restriction of a pumped-storage plant are taken into consideration to optimize the forced water pumping power energy volume and the corresponding forced generated output of a pumped-storage plant, water pumping storage capacity restriction is calculated, The daily operation mode of the pumped-storage plant is optimized on the basis of the marginal electricity generation energy consumption, and daily operation mode optimization schemes of the pumped-storage plant are obtained. The daily operation mode of the pumped-storage plant can be determined rapidly according to the unit electricity generation energy consumption of all the thermal power generating sets, the total electricity generation energy consumption of a system is lowered extremely, and the method has high stability and repeatability and has project practicability.

Description

technical field [0001] The invention belongs to the technical field of operation of a pumped storage power station, and more specifically relates to a method for optimizing the daily operation mode of a pumped storage power station based on marginal power consumption. Background technique [0002] As the most large-scale, most reliable, most economical, long-life cycle, large-capacity, and most technically mature energy storage device in the current power system, the pumped storage power station has received increasingly extensive research attention and rapid development and construction. The pumped-storage power station is composed of an upper reservoir, a lower reservoir and a pumped hydro generator set. Its basic working principle is that during the low load period of the power grid, the pumped hydro generator operates in the form of a motor to absorb the excess electric energy of the system, and drives the water turbine as a water pump to pump water from the lower reservo...

AI Technical Summary

Problems solved by technology

However, compared with the economic dispatch model of conventional hydropower stations, the peak-shaving operation optimization model of pumped-storage power stations is more complex, requiring each subsystem to coordinate its own benefits with the overall benefits of the system, and there are more constraints to be considered. Linearity, high dimensionality, non-convexity, and discreteness. However, conventional optimization algorithms and intelligent search algorithms can only obtain unstable local optimal solutions, and it is difficult to obtain theoretical optimal solutions.

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