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Combination method of wind power and thermal power units based on improved light robust optimization model

An optimization model and technology of thermal power units, applied in wind power generation, single-network parallel feeding arrangement, etc., can solve problems such as complex calculation process and large conservatism, and achieve the effect of safe utilization

Inactive Publication Date: 2017-12-29
TONGJI UNIV
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Problems solved by technology

[0011] The purpose of the present invention is to provide a combination method of wind power and thermal power units based on an improved light robust optimization model in order to overcome the defects of relatively large conservatism and complicated calculation process in the above-mentioned prior art, and establish a new type of wind-thermal power unit Combining the new model and deriving its MILP corresponding formula to realize wind power output scheduling, and through the prevention of excessive overload and continuous overload constraints of the equipment, the safe utilization of the short-term overload capacity of the equipment can be realized, and the conservatism can be improved

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  • Combination method of wind power and thermal power units based on improved light robust optimization model
  • Combination method of wind power and thermal power units based on improved light robust optimization model
  • Combination method of wind power and thermal power units based on improved light robust optimization model

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[0073] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0074] In order to verify the effectiveness of the ILR-UC model, the present invention established MILP-UC, RO-UC, LR-UC, and ILR-UC four models for comparison. The computing platform is matlab2014a, the modeling tool is yalmip, and the solver is cplex12.6, the calculation conditions of each model are shown in Table 1. Among them, the first three models can be obtained by simple modification on the basis of the ILR-UC model, specifically:

[0075] MILP-UC model: In the objective function formula (1) item is deleted and the power balance constraint (2) is replaced by Replace the branch power flow constraint (13) with And delete the variables in constraints (4), (14)~(16), (18) and formula (17) gamma i,t ,o i,t .

[0076] RO-UC model: In the objective function formula (1) item is deleted, and the abandoned wind variable item in pow...

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Abstract

The invention relates to a wind turbine generating unit and thermal power generating unit combination method based on a light robust optimization model. The method comprises the steps of 1) establishing a unit combination model ILR-UC based on an improved light robust optimization model; 2) deducing the MILP corresponding form of the unit combination model ILR-UC, scheduling the output power of a wind turbine generating unit and the output power of a thermal power generating unit, and safely utilizing the short-time overload capacity of equipment through restraining and preventing the continuous overload constraint of the equipment based on the overload degree of the equipment. Compared with the prior art, the understanding conservative property is improved. Meanwhile, the calculation efficiency is high during corresponding solution procedures.

Description

technical field [0001] The invention relates to a power dispatching technology, in particular to a method for combining wind power and thermal power units based on an improved light robust optimization model. Background technique [0002] With the advancement of energy conservation and emission reduction, wind power has begun to be connected to the grid on a large scale, which brings new challenges to the Unit Commitment (UC) problem. How to adapt the traditional deterministic UC problem to the uncertainty brought by wind power , has become one of the hot issues of recent concern. [0003] In recent years, Robust Optimization (Robust Optimization, RO) theory has made great progress, which provides a new mathematical tool for the research of UC problems. The outstanding advantage of the robust optimization model is that it does not need to give the probability distribution of uncertain parameters in advance, but describes the fluctuation of parameters through an uncertain se...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/46
CPCY02E10/76
Inventor 林济铿刘阳升覃岭王忠岳张鑫刘慧杰
Owner TONGJI UNIV
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