Wind turbine generating unit and thermal power generating unit combination method based on light robust optimization model

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

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

CN104935017AInactive Publication Date: 2015-09-23TONGJI UNIV

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  • Wind turbine generating unit and thermal power generating unit combination method based on light robust optimization model
  • Wind turbine generating unit and thermal power generating unit combination method based on light robust optimization model
  • Wind turbine generating unit and thermal power generating unit combination method based on light robust optimization model

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Embodiment Construction

[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 Sexuality 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 unce...

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Application Information

Patent Timeline
23 Sep 2015
Publication
CN104935017A
IPC
H02J3/46
CPC
Y02E10/76
Inventors
林济铿; 刘阳升