Hydro-thermal generator set combination optimization scheduling method based on mixed integer programming

Abstract

The invention discloses a hydro-thermal generator set combination optimization scheduling method based on mixed integer programming. The method comprises a step of obtaining the basic data of a single hydropower station, wherein the basic data comprises a reservoir water amount, a limit value of the reservoir water amount and a limit value of power generation flow, a step of carrying out piecewise linearization on a nonlinear constraint condition in the constraint conditions of a single hydropower station optimization scheduling model, a step of solving the single hydropower station optimization scheduling model which allows a target function F to be minimal according to a constraint condition which is subjected to piecewise linearization, a linear constraint condition of the single hydropower station optimization scheduling model and the basic data of the single hydropower station, and a step of determining a hydro-thermal generator set combination optimization scheduling model according to the single hydropower station optimization scheduling model which allows the target function F to be minimal. According to the method, the direct solution of a non-convex nonlinear problem of the nonlinear coupling of variables in time and space is avoided, and the operation efficiency of a power system is improved.

Description

technical field [0001] The invention relates to the technical field of optimal dispatching of power systems, in particular to a combined optimal dispatching method for hydrothermal power units based on mixed integer programming. Background technique [0002] With the rapid development of my country's economy, the dual problems of energy shortage and environmental pollution have become increasingly prominent and cannot be ignored. While saving energy and reducing emissions, my country is vigorously developing new energy sources, including hydropower, wind power, and solar energy. The access to large-scale clean energy is of great significance to reduce carbon dioxide emissions, protect the environment, and achieve sustainable development in my country. Among them, hydropower has the highest proportion of all kinds of new energy power generation installed capacity, which has practical research significance. With the vigorous development of the Three Gorges Water Conservancy ...

AI Technical Summary

Problems solved by technology

[0003] The difficulty of optimal dispatching methods for hydropower plants lies in the first, the multiple coupling relationships of multiple variables in time and space, which makes the whole problem a large-scale non-convex nonlinear problem

Second, if the limitation of natural conditions and the uncertainty of incoming water are taken into consideration, the difficulty of optimal dispatching of hydropower will be further increased

The third is that the existing methods are not accurate enough, or are too time-consuming in large-scale systems

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