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Large-scale wind power grid-integration reactive voltage optimizing method based on improved artificial fish swarm hybrid optimization algorithm

An optimization algorithm and artificial fish swarm technology, applied in wind power generation, reactive power compensation, reactive power adjustment/elimination/compensation, etc., can solve problems such as poor convergence, large amount of data processing, poor stability, etc.

Inactive Publication Date: 2012-09-19
STATE GRID GASU ELECTRIC POWER RES INST +1
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Problems solved by technology

[0005] In the process of realizing the present invention, the inventors found that there are at least some defects in the prior art, such as large amount of data processing, poor convergence and poor stability.

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  • Large-scale wind power grid-integration reactive voltage optimizing method based on improved artificial fish swarm hybrid optimization algorithm
  • Large-scale wind power grid-integration reactive voltage optimizing method based on improved artificial fish swarm hybrid optimization algorithm
  • Large-scale wind power grid-integration reactive voltage optimizing method based on improved artificial fish swarm hybrid optimization algorithm

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Embodiment Construction

[0048] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0049] According to an embodiment of the present invention, such as Figure 1-Figure 5 As shown, a large-scale wind power grid-connected reactive power and voltage optimization method based on the improved artificial fish swarm optimization algorithm is provided.

[0050] Such as figure 1 As shown, the large-scale wind power grid-connected reactive power and voltage optimization method based on the improved artificial fish swarm optimization algorithm of this embodiment includes:

[0051] Step 100: Scheduling and selecting the automatic management and control system of the large-scale wind power base, based on the energy management system in the automatic managemen...

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Abstract

The invention discloses a large-scale wind power grid-integration reactive voltage optimizing method based on an improved artificial fish swarm hybrid optimization algorithm. The method comprises the following steps: scheduling and selecting an automatic control system for a large-scale wind power base and reading the original data information of a power grid on the basis of an energy management system in the automatic control system; obtaining effective data for load flow calculation according to the obtained original data information and forming an effective data set of the whole power grid; screening the effective data set on the basis of a pre-confirmed optimizing mode, thereby obtaining a calculation number set based on the data of the whole power grid; calling for the improved artificial fish swarm hybrid optimization algorithm and performing reactive optimization on the wind power grid-integration reactive voltage on the basis of the screened calculation number set, thereby obtaining a reactive optimization result. According to the method provided by the invention, the defects of the prior art of large data throughput, poor convergence, inferior stability and the like, are overcome, so that the advantages of small data throughput, excellent convergence and high stability are achieved.

Description

technical field [0001] The invention relates to the technical field of cross-regional power grid management and control, in particular to a large-scale wind power grid-connected reactive power voltage optimization method based on an improved artificial fish swarm optimization algorithm. Background technique [0002] With the construction of a large-scale centralized new energy power generation base in my country's smart grid and the start of grid-connected power generation, its impact on the safe and stable operation of the power system is increasing. The access of large-scale new energy power generation has not only brought a huge impact on the power grid, but also made the network structure, operation mode and security and stability characteristics complex and changeable, and led to increasingly prominent stability and voltage problems of the power grid. The characteristics of volatility, intermittency and randomness of the power system also pose a huge challenge to the vo...

Claims

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Application Information

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IPC IPC(8): H02J3/18H02J3/38H02J13/00
CPCY02E40/72Y02E10/763H02J3/38Y04S10/123Y04S10/545Y02E40/76H02J13/00Y02E40/30H02J3/18H02J3/386H02J2300/28H02J3/381Y02E10/76H02J3/466H02J3/50
Inventor 郑伟刘文颖王维洲谢昶韩旭杉徐鹏马超李波杨勇金娜温志伟杜珣安亮亮李亚龙卢甜甜梁才周海洋门德月但扬清王久成李扬刘景延王佳明杨斌曹俊龙梁纪峰杜波吴耀昊钟佳辰文晶葛润东吴晓丹杨楠刘茜邢晶赵子兰
Owner STATE GRID GASU ELECTRIC POWER RES INST
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