AGC random dynamic optimization dispatching method taking wind power and frequency uncertainty into consideration

An uncertain, stochastic and dynamic technology, applied in wind power generation, single grid parallel feeding arrangement, etc., can solve problems such as wind power power and system frequency application problems cannot be met

Inactive Publication Date: 2015-12-30
CHONGQING UNIV
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  • Abstract
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Problems solved by technology

[0005] The purpose of the present invention is to solve the optimization results obtained by the existing scheduling method, which cannot meet the application problem in the scene where wind power and system frequency fluctuate randomly

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  • AGC random dynamic optimization dispatching method taking wind power and frequency uncertainty into consideration
  • AGC random dynamic optimization dispatching method taking wind power and frequency uncertainty into consideration
  • AGC random dynamic optimization dispatching method taking wind power and frequency uncertainty into consideration

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Embodiment Construction

[0095] The present invention will be further described below in conjunction with the examples, but it should not be understood that the scope of the subject of the present invention is limited to the following examples. Without departing from the above-mentioned technical ideas of the present invention, various replacements and changes made according to common technical knowledge and conventional means in this field shall be included in the protection scope of the present invention.

[0096] The specific steps of AGC stochastic dynamic optimal scheduling method considering wind power and frequency uncertainty are as follows:

[0097] 1) Enter basic data

[0098] Firstly, obtain system-related data, collect AGC-related data, and set evolutionary programming and Monte Carlo simulation parameters. The system-related data includes the number of time periods in the system optimization cycle, the upper and lower limits and confidence levels of the tie line power deviation, the uppe...

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Abstract

The invention discloses an AGC random dynamic optimization dispatching method taking wind power and frequency uncertainty into consideration. At first, collected AGC related data and system related data are input, the Monte-Carlo simulation technology is utilized for generating wind power and frequency samples, then an adjusting instruction and an initial population for adjusting the rate control variable are generated randomly, adjusting instruction constraints, adjusting rate constraints and minimum continuous climbing time constraints of the control variable are corrected, CPS1 indexes and AGC adjusting auxiliary service charge objective functions are considered comprehensively, adaptive value calculation is carried out on individuals by means of probability constraints such as call wire power deviation, frequency deviation, CPS1 indexes, CPS2 indexes and unit output, self-adaptation mutation operation is carried out on the individuals, based on population varieties, the individuals are selected, and termination judgment is carried out for achieving strategies of the AGC adjusting instruction and the adjusting rate.

Description

technical field [0001] The invention belongs to the technical field of frequency modulation and automatic power generation control of interconnected power grids, and in particular relates to an AGC random dynamic optimization scheduling method considering wind power and frequency uncertainty. Background technique [0002] Automatic Generation Control (AGC), as the basis of automatic frequency regulation in power systems, is an important technical means to realize power grid active frequency control, maintain system frequency quality, and control power exchange between tie lines between interconnected grids. Its control strategy directly determines the control It plays an important role in the safe, reliable and high-quality operation of the power grid, and has important research value. [0003] For a long time, the AGC control strategy has mainly aimed at how to correct regional control deviations, and its research focuses on the generation of regional total regulation power...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38
CPCY02E10/76
Inventor 赵霞张荣荣余渌绿余娟颜伟
Owner CHONGQING UNIV
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