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State division method and system of wind power response capability adapting to grid frequency regulation demand

A technology of responsiveness and state division, applied in the direction of AC network voltage adjustment, wind power generation, electrical components, etc., can solve the problems of not considering the actual demand of the power grid, the decline of power system frequency stability, and the uncertainty of the state division boundary, etc., to achieve The effect of solving uncertainty problems and improving accuracy and stability

Active Publication Date: 2022-07-08
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] A high proportion of wind power connected to the grid reduces the frequency stability of the power system. The traditional wind power frequency regulation strategy enables wind turbines to actively participate in grid frequency regulation through additional power control links, but does not consider the actual needs of the grid for wind power to participate in frequency regulation. Wind power participation in grid frequency regulation has certain Therefore, when facing the two frequency regulation resources of traditional generating units and wind power generation, it is highly innovative to divide the frequency regulation requirements of the power grid and the wind power response capability by comprehensively considering the frequency regulation requirements of the grid for wind turbines and the frequency response capability of wind turbines themselves. and application value, which can lay the foundation for coordinating traditional frequency regulation resources and wind power frequency regulation resources in each state to control the frequency regulation of wind turbines
[0004] The frequency regulation demand of the power grid depends on the power supply adequacy of the power grid. Based on the power supply adequacy risk assessment of the power grid, the power grid’s demand for wind power to participate in frequency regulation can be characterized; while the frequency regulation capability of wind turbines mainly depends on its operation mode and wind speed conditions; therefore, it can be respectively Quantify the frequency regulation demand of the power grid and the frequency response capability of wind power, but the current state division boundary between the frequency regulation demand of the power grid and the wind power response capability has certain uncertainties

Method used

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  • State division method and system of wind power response capability adapting to grid frequency regulation demand
  • State division method and system of wind power response capability adapting to grid frequency regulation demand
  • State division method and system of wind power response capability adapting to grid frequency regulation demand

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Embodiment 1

[0059] As described in the background art, the quadrant division of grid frequency regulation demand and wind power response capability is of great significance for guiding wind turbines to participate in grid frequency response. Therefore, the present embodiment provides a method and system for evaluating the response capability of wind power and dividing the state to adapt to the frequency regulation requirements of the power grid. The method and system for the risk assessment of insufficient power supply in the power grid are based on the establishment of multiple types of risk sources at the transmission grid level, and when the risk source model is established Focusing on the influence of photovoltaics on the distribution network load prediction error probability distribution, the conventional load prediction error probability model and the active distribution network type load prediction error probability model are established respectively. The operating conditions of the...

Embodiment 1

[0168] This embodiment takes the IEEE RTS-79 reliability test system as an example to further illustrate the specific implementation process of the present invention, image 3 A schematic diagram of the system topology. The wind farm (installed capacity of 712.2MW) is connected to the 16th node of the transmission grid to replace the original 155MW generator set, and the 13th node is set as an active distribution network type load. Among them, the active distribution network type load is set to 20 IEEE18 node distribution networks, the maximum total load of a single distribution network is 11.6MW+j7.59Mvar, and photovoltaic power generation (installed capacity of 48.6MW) is connected to 3 IEEE18 node distribution networks. at the node.

[0169] The predicted sample and actual sample data of wind farm output are taken from the offshore wind farm in Belgium in 2016 by Elia Power Grid, and the forecast and actual samples of photovoltaic output are taken from the photovoltaic pow...

Embodiment 2

[0181] Based on the risk assessment result of insufficient power supply of the power grid in the first engineering embodiment and the operating conditions of the wind turbines at the corresponding moment, normalization processing is carried out respectively. In this project example, the risk reference base value is taken as the accident rotating reserve capacity of the IEEE-RTS79 power grid, which is about 300MW when 10% of the maximum installed capacity of the power grid is taken, and the reference base value of the wind turbine operating condition is taken as 11.2m / s.

[0182] Based on the Fuzzy toolbox, the two-dimensional variable normalization index is input into the fuzzy inference system, and its quadrant division is determined by inference. The input membership function parameters of the two-dimensional variables are shown in Table 7, the output membership function parameters of the four-quadrant membership in the four sub-intervals are shown in Table 8, and the fuzzy o...

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Abstract

The present disclosure provides a method and system for dividing the response capability of wind power to meet the frequency regulation requirements of the power grid. According to the probability model of the preset risk source, the risk assessment of insufficient power supply at the transmission grid level is carried out; Carry out normalization processing in the preset interval, respectively characterize the frequency regulation demand of the power grid and the frequency response capability of the wind turbine; determine the two-dimensional variable fuzzy set according to the quadrant division characteristics and select the input membership function, and solve the two-dimensional variable based on the Mamdani fuzzy system design reasoning rule. Membership degree of each quadrant; divide the preset interval into quarters and each subinterval corresponds to each quadrant in turn, determine the output membership function in each subinterval and map the membership degree of each quadrant to each subinterval, through defuzzification processing The accurate output of the fuzzy system is solved, and the quadrant to which the two-dimensional variable belongs is determined according to the interval to which the output value belongs; the present disclosure realizes the four-quadrant fuzzy division of power grid frequency regulation demand and wind power response capability.

Description

technical field [0001] The present disclosure relates to the technical field of operation and control of power systems, and in particular, to a method and system for dividing the state of response capability of wind power to meet the frequency regulation requirements of power grids. Background technique [0002] The statements in this section merely provide background related to the present disclosure and do not necessarily constitute prior art. [0003] The high proportion of wind power connected to the grid reduces the frequency stability of the power system. The traditional wind power frequency regulation strategy allows the wind turbines to actively participate in grid frequency regulation through additional power control links, but does not consider the grid’s actual demand for wind power to participate in frequency regulation. Therefore, when facing the two frequency regulation resources of traditional generator sets and wind power generation, it is highly innovative t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38H02J3/24H02J3/16H02J3/06
CPCH02J3/38H02J3/241H02J3/16H02J3/06H02J2300/28H02J2203/20Y02E10/76Y02E40/30
Inventor 褚晓东徐晨刘玉田叶华
Owner SHANDONG UNIV