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Weight-based hybrid integer quadratic programming multi-target scheduling method

A technology of mixed integer quadratic and scheduling method, which is applied in the field of power system, and can solve the problems of not being able to achieve the best economic benefit and single optimization goal

Active Publication Date: 2018-09-28
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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Problems solved by technology

[0005] The present invention provides a weight-based mixed integer quadratic programming multi-objective scheduling method, which solves the technical problem in the prior art that the algorithm optimization target for optimal scheduling of unit loads is single and cannot achieve the best economic benefits

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  • Weight-based hybrid integer quadratic programming multi-target scheduling method
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[0062] In order to make the objectives, features, and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0063] The inventor of the present application found that in actual operation scheduling, the coal consumption for power generation of a thermal power unit is easily affected by the open state of the boiler valve. When the boiler valve is opened, the change of the boiler air pressure will cause the coal consumption ...

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Abstract

The invention discloses a weight-based hybrid integer quadratic programming multi-target scheduling method. According to the method, coal consumption, network loss, emission and electricity purchasingcost are taken as multiple reference targets for scheduling, from the perspective of conversion, according to the weight of the different targets, a multi-target problem is converted into a single-target problem for solution, and thereby solution complexity of an original multi-target optimization model is reduced, and stability and robustness of the single-target solution algorithm can be utilized to the large extent.

Description

Technical field [0001] The present invention relates to the technical field of power systems, in particular to a weight-based mixed integer quadratic programming multi-objective scheduling method. Background technique [0002] As the proportion of combined heat and power units in the power grid continues to increase, it is inevitable for units to participate in peak shaving. The power market-oriented reform of the separation of power plants and grids has made it necessary for cogeneration units to complete the peak shaving task of the power grid, and also need to take into account the requirements of the unit itself to reduce overall economic costs and environmentally friendly operation, optimize load distribution, and achieve the specified heat-to-electricity ratio to increase overall Plant load competitiveness, which involves the multi-objective and multi-constrained optimization problem when cogeneration units participate in peak shaving. At present, extensive research has be...

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Application Information

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IPC IPC(8): H02J3/00G06Q10/06G06Q10/04G06Q50/06
CPCG06Q10/04G06Q10/06312G06Q50/06H02J3/00H02J2203/20
Inventor 黄缙华刘菲唐升卫高雅顾博川代仕勇郑培文
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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