Multi-target and multi-constraint optimal scheduling method of fuel-steam combined cycle generator set

Abstract

The invention provides a multi-target and multi-constraint optimal scheduling method of a fuel-steam combined cycle generator set, comprising the following steps of: 1, establishing a multi-target load distribution optimization problem mathematical model of a set at a certain period; 2, designing a load optimization target function of a multi-constraint set at the period; and 3, based on an ant colony algorithm, designing a multi-target and multi-constraint load optimal scheduling scheme of the set at the certain period. According to the multi-target and multi-constraint optimal scheduling method of the fuel-steam combined cycle generator set, which is established based on the invention, loads among all the sets of the whole factory can be reasonably distributed in real time under the precondition of ensuring safe and environment-friendly operation of the sets; and the generation coal consumption rate is reduced to the greatest extent, the win-win of effective existence of a power grid pitch peak and a power plant is realized, and the coordination with a natural gas network is realized.

Description

technical field [0001] The patent of the present invention relates to a scheduling method of a generator set, in particular to a method for multi-objective and multi-constraint optimal scheduling of a gas-steam combined cycle generator set. Background technique [0002] The power grid requires gas-steam combined cycle units to start and stop quickly or operate at low load for peak regulation, so as to ensure the stability and reliability of the power grid. Affected by factors such as the separation of the plant from the grid and bidding for grid connection, large-scale gas turbine power plants need to take into account their own requirements for reducing power generation costs and economical and environmentally friendly operation while completing the peak-shaving task of the power grid, and optimize the peak-shaving operation mode of each unit. Try to achieve a win-win situation between power grid peak regulation and effective survival of power plants, as well as coordinatio...

AI Technical Summary

Problems solved by technology

According to the different characteristics of the model, each algorithm has a good optimization effect on the specific system it targets, but it also has its own shortcomings and limitations.

[0003] However, there are not many researches on the optimal scheduling method of large gas-steam combined cycle power generation units under multi-objective and multi-constraint conditions.

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