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Pilot node selection method considering wind power fluctuation probability characteristics

A technology for wind power fluctuations and dominant nodes, applied in wind power generation, electrical components, circuit devices, etc., can solve problems such as power flow fluctuations and trend changes, and dominant nodes that cannot reflect regional voltage representation

Inactive Publication Date: 2018-03-06
TSINGHUA UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] These factors lead to the dynamic migration of the electrical distance center in the control area or the typical representative node of the regional voltage level as the power flow changes. For example, the dominant node cannot reflect the representative regional voltage in all operating states according to the original selection method.
In order to make the selected dominant node robust to the random power injection of intermittent power sources in the current form, the incorporation of large-scale intermittent power sources in the control area will intensify power flow fluctuations and trend changes, and bring many challenges to regional voltage and reactive power control.

Method used

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  • Pilot node selection method considering wind power fluctuation probability characteristics
  • Pilot node selection method considering wind power fluctuation probability characteristics
  • Pilot node selection method considering wind power fluctuation probability characteristics

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Effect test

Embodiment 1

[0068] The method for selecting a dominant node considering the probability characteristics of wind power fluctuations provided in this embodiment includes the following steps:

[0069] S1: Obtain the probability distribution of wind farms in the control area during the peak, waist and valley load periods;

[0070] S2: setting the injected power of the random operation state of the wind farm;

[0071] S3: Calculate each random running state and corresponding probability distribution;

[0072] S4: Set to limit the number of random running states;

[0073] S5: Obtain the sensitivity matrix in each operating state,

[0074] S6: Calculate the load node voltage offset to expect the minimum node in each operating state, and use the minimum node as the dominant node.

[0075] The limitation of the number of random running states is realized by scene reduction technology, and the specific steps are as follows:

[0076] Define the probability distance between each random running st...

Embodiment 2

[0116] In this embodiment, the influence of wind power fluctuation probability characteristics on system voltage regulation is analyzed. The selection of the dominant node is the primary goal of the secondary voltage, and the selection needs to consider the impact of intermittent power access. Firstly, the probability distribution of the injected power of the wind farm in the control area during the peak, waist and valley load periods is counted, and the probability distribution density function of the injected power is obtained by function fitting, and the wind farm is superimposed on the basis of the peak, waist and valley load operation mode. The randomly injected power forms various random operating states of the system, and its occurrence probability is determined by the probability distribution characteristics of the injected power of each wind farm. Then the sensitivity matrix in each operating state is obtained, and by applying random disturbance, the node that can elim...

Embodiment 3

[0162] In this embodiment, the method is verified by a simulation analysis method, which is as follows:

[0163] Firstly, IEEE3 machine 9 nodes and New England 39 nodes are selected, and then the system is simulated and calculated. The scale of the IEEE 3-machine 9-node system is small, and the more detailed probability distribution of wind power is added. The influence of random operating state changes of the system on the selection of dominant nodes is analyzed through traversal search. Then add a relatively rough probability distribution of wind power through the New England 39-node system to form a variety of random operating states, and apply scene reduction technology to control the number of random operating states. Finally, use the NSGA-II algorithm to find the best and select the dominant node for comparison. , indicating the feasibility and effectiveness of the method provided in this example. Replace node 3 in the IEEE3 machine 9-node test system with a wind farm, ...

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Abstract

The present invention discloses a pilot node selection method considering wind power fluctuation probability characteristics. The method comprises the following steps: counting the probability distribution, in a peak, a waist, and a valley load period, of an injection power of a wind farm in a control area; acquiring a probability distribution density function of the injection power by performingfunction fitting; adding a random injection power of the wind farm on the basis of operation modes of a peak, a waist, and a valley load to form various random operation states of a system, wherein the occurrence probabilities of the operation states are determined by the probability distribution characteristics of the injection power of each wind farm; acquiring sensitivity matrices of each operation state; by imposing random disturbance, choosing a node that, when eliminating voltage deviation of the node, the expected values of the voltage deviations of the rest load nodes under various operation states are minimal, as a pilot node. Simulation results show that, the method can effectively reflect the influence of the wind power probability characteristics on the voltage of the pilot node, and thus the method can provide guidance for the voltage control of the pilot node under the condition of large-scale wind power-grid integration.

Description

technical field [0001] The invention relates to the technical field of new energy power generation, in particular to a dominant node selection method considering the probability characteristics of wind power fluctuations. Background technique [0002] In recent years, due to the increasingly prominent environmental problems, the continuous incorporation of renewable energy has become the general trend. The injected power of integrated renewable energy such as wind power and photovoltaics is relatively random, and its large-scale access and distributed penetration make the grid power supply present a trend of diversification and decentralization, which intensifies the fluctuation and trend change of the power flow in the control area. In addition, due to the transformation of the power system, the operating point of the power system is increasingly approaching the limit, and the control sensitivity will change greatly with the active power flow under heavy load conditions. ...

Claims

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Application Information

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IPC IPC(8): H02J3/38
CPCH02J3/386H02J2203/20Y02E10/76
Inventor 孙荣富王东升施贵荣宁文元梁吉王靖然王若阳丁然徐海翔范高锋梁志峰丁华杰王冠楠徐忱鲁宗相乔颖刘梅罗欣廖晔
Owner TSINGHUA UNIV
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