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Adaptive damping control method for wind power grid-connected system based on multiple convex polytopic bodies

A damping control and self-adaptive technology, applied in wind power generation, electrical components, circuit devices, etc., can solve problems such as the limitation of calculation amount of multi-cell optimal control, the difficulty of using convex multi-cell operating conditions, and the inability to guarantee the performance of the controller.

Inactive Publication Date: 2018-10-19
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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AI Technical Summary

Problems solved by technology

However, there are still two problems in the following aspects: 1) The calculation amount of multicellular optimal control is limited by the number of operating points, and it is easy to fail to obtain a feasible solution when the number of operating points increases
In an actual power system, the number of operating points is considerable, and it is difficult to use a convex polytope to consider all possible operating conditions; 2) The inherent nonlinearity of the power system does not guarantee that the linear combination of the controller can perform well performance

Method used

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  • Adaptive damping control method for wind power grid-connected system based on multiple convex polytopic bodies
  • Adaptive damping control method for wind power grid-connected system based on multiple convex polytopic bodies
  • Adaptive damping control method for wind power grid-connected system based on multiple convex polytopic bodies

Examples

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Embodiment 1

[0079] This example uses a New England and New York interconnected power system model with 16 generators and 68 buses to verify the effectiveness and feasibility of this method. The three wind farms are respectively connected to bus bars 41, 42 and 52. The one-line diagram of the system is image 3 As shown, in order to verify the performance of the adaptive control proposed by the present invention, a TCSC, an SVC and an ESD are added to the system. All generators are fitted with IEEE Type 1 DC excitation systems. This example uses a mixed load model for analysis to identify the optimal position of the controller using the geometric measure of controllability (GMC). The most suitable installation position of TCSC is line 41-42, and the nodes of SVC and ESD are bus 19 and bus 22 respectively.

[0080] To classify the formation of the classification tree in different cases, the active power in tie lines 1-2, 8-9, 41-42 and 50-51 was first utilized as four measurements to mat...

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Abstract

The invention discloses an adaptive damping control method for a wind power grid-connected system based on multiple convex polytopic bodies, and belongs to the technical field of electrical engineering. According to the method, firstly, a multi-objective robust controller is designed for a single convex polytopic body, secondly, a classification decision tree is constructed and trained with a large amount of offline data, a regression decision tree is established by using online wide-area data, and a convex polytopic body area to which a current operation point belongs is identified, and finally, a robust controller corresponding to the convex polytopic body is adaptively switched in real time according to an online decision mechanism. According to the method, when wind power output has awide range of random fluctuations, the random drift behavior of a system operating point can be effectively tracked, thus the adaptive damping control is implemented, and system oscillation is effectively damped.

Description

technical field [0001] The invention belongs to the technical field of electrical engineering, and in particular relates to an adaptive damping control method for a wind power grid-connected system based on multiple convex polytopes. Background technique [0002] In recent years, wind power has been greatly developed in my country, and the installed capacity is increasing day by day. In 2011, my country's cumulative installed capacity was 62GW, ranking first in the world. It is estimated that by 2020, the installed capacity of wind power will reach at least 150 million kW. The intermittent and random fluctuations of wind power generation make the connection of large-scale wind farms have a certain impact on the stability of the power system. At the same time, my country's power grid is in a period of rapid development of large-scale grid interconnection, and low-frequency oscillation has become a key factor affecting the interconnection of large grids and restricting the tra...

Claims

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Application Information

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IPC IPC(8): H02J3/38
CPCH02J3/002H02J3/386H02J2203/20Y02E10/76
Inventor 王彤杨京刘九良王增平
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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