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Unit commitment (UC) optimization method based on two-phase firefly encoding

A technology of unit combination and optimization method, which is applied in data processing applications, prediction, instruments, etc., and can solve problems such as unit combinations that cannot contain discrete variables

Inactive Publication Date: 2016-07-13
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

[0005] The standard firefly algorithm can only solve continuous variable optimization problems, and cannot be directly used for unit combination problems with discrete variables

Method used

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  • Unit commitment (UC) optimization method based on two-phase firefly encoding
  • Unit commitment (UC) optimization method based on two-phase firefly encoding
  • Unit commitment (UC) optimization method based on two-phase firefly encoding

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Embodiment Construction

[0077] The following is a typical application case of the present invention, which is used for 24-hour unit combination optimization of a classic 10-unit system. This system is often used to test and compare different unit combination algorithms.

[0078] Table 1 is the parameters of the units involved, and Table 2 is the 24-hour load data and system standby data.

[0079] Table 1

[0080]

[0081] In Table 1, a, b, and c are the coal consumption coefficients of the units, B, τ, and k are the start-stop cost coefficients; 1-10 represent the unit numbers.

[0082] Table 2

[0083]

[0084]

[0085] An optimization method for unit combination based on two-stage firefly coding, including establishing the following unit combination model:

[0086] The objective function of the unit combination model is established under the conditions of minimum power generation cost and unit start-up cost, active power balance constraints, spinning reserve constraints, unit output uppe...

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Abstract

The invention provides a unit commitment (UC) optimization method based on two-phase firefly encoding. The method comprises the steps of first determining a UC model; then carrying out mutation and self-adaptive improvement for a standard firefly search mechanism; next, carrying out discretization of fireflies to solve a UC start and stop problem; further, solving a load optimal distribution sub-problem by real number encoding of the fireflies; solving the two problems alternatively; and finally obtaining a complete solution of the UC. The invention can improve the solving speed and global optimization capability of the UC, and provide better decision support for electric power system dispatchers.

Description

technical field [0001] The invention relates to the field of power system dispatching operation, in particular to a method for unit combination optimization based on two-stage firefly coding. Background technique [0002] Unit Commitment (UC) is a complex large-scale mixed integer optimization problem for power system operation. Its purpose is to reasonably arrange the start-stop status and unit output of the unit within a certain dispatch period and under certain constraints, so as to minimize the total power generation cost. With the increasing scale of the power system, the economic operation of the power system is becoming more and more important. How to solve the load distribution of the unit more economically and quickly and prolong the service life of the unit has become a concern of many scholars. [0003] Scholars at home and abroad have proposed methods such as priority order method, local search method, dynamic programming (DP), mixed integer programming (MIP) (b...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 王波方必武罗金号马恒瑞陈思远
Owner WUHAN UNIV
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