CN-122021327-A - Method and system for optimizing precise release position of resistance reducing agent of mountain wind farm grounding system

CN122021327ACN 122021327 ACN122021327 ACN 122021327ACN-122021327-A

Abstract

The invention provides a method and a system for optimizing the precise delivery position of a resistance reducing agent of a mountain wind power plant grounding system, comprising the steps of collecting multi-source data of the mountain wind power plant, preprocessing the multi-source data, and establishing an N-layer parameterized soil model based on the preprocessed data; the method comprises the steps of establishing a parameterized soil model, carrying out inversion calculation on the established parameterized soil model to obtain an inverted soil model, outputting high-precision soil layering parameters, calculating a goodness-of-fit index, carrying out ground system simulation by using CDEGS software based on the inverted soil model, calculating the ground impedance reduction of the whole network, identifying the gold point with highest unit input quantity resistance reduction efficiency, carrying out parameterization scanning on the identified gold point, constructing a cost-benefit curve, and determining the optimal input quantity by adopting a marginal benefit threshold method. According to the invention, the gold point with highest resistance reduction effect per unit of input amount is identified through sensitivity analysis, and the optimal input amount and position are determined according to a cost-benefit curve, so that a visual quantitative input scheme is generated.

Inventors

MA CONGYONG
LI CHAO
WU JIANXIN
SUN ZHIWEI
LI LILONG
Niu dongyang
WANG TUANJIE
ZHANG ENXIANG
ZHANG SHAOPENG
DANG WENJING

Assignees

华能国际电力股份有限公司河北清洁能源分公司
西安热工研究院有限公司

Dates

Publication Date: 20260512
Application Date: 20260204

Claims (10)

1. The method for optimizing the precise throwing position of the resistance reducing agent of the mountain wind farm grounding system is characterized by comprising the following steps: collecting multi-source data of a mountain wind power plant, preprocessing the multi-source data, and establishing an N-layer parameterized soil model based on the preprocessed data; inversion calculation is carried out on the established parameterized soil model, so that an inverted soil model is obtained and used for outputting high-precision soil layering parameters and calculating a goodness-of-fit index; based on the soil model obtained by inversion, performing ground system simulation by using CDEGS software, calculating the ground impedance reduction of the whole network, and identifying the gold point with highest unit input amount resistance reduction efficiency; and carrying out parameterization scanning on the identified golden point, constructing a cost-benefit curve, and determining the optimal throwing amount by adopting a marginal benefit threshold method.
2. The method for optimizing the precise delivery position of resistance reducing agent of the mountain wind farm grounding system according to claim 1, wherein the steps of collecting multisource data of the mountain wind farm, preprocessing the multisource data comprise the steps of: Geological exploration report, topography and topography map, satellite remote sensing image and on-site temperature and nano quadrupole method measurement data, preprocessing the data, wherein the preprocessing of the data comprises noise filtering, outlier rejection, interline interpolation and gridding and storing according to a resolution unit.
3. The method for optimizing the precise delivery position of resistance reducing agent of the mountain wind farm grounding system according to claim 1, wherein the establishing an N-layer parameterized soil model based on the preprocessed data comprises the following steps: Establishing an N-layer model, wherein parameters are { rho_1, h_1, rho_2, h_2, & gt, rho_N bottom layer infinite thickness }, and setting upper and lower boundaries of the parameters according to geological data; Defining an objective function: Wherein the method comprises the steps of For the different polarity spacing of the electrodes, For the parameter vector to be inverted, Obtained by CDEGS forward computation.
4. The method for optimizing the precise delivery position of resistance-reducing agent of the mountain wind farm grounding system according to claim 1, wherein the performing inversion calculation on the established parameterized soil model to obtain an inverted soil model, and the method is used for outputting high-precision soil layering parameters and calculating a goodness-of-fit index, and comprises: Adopting self-adaptive weight PSO, the inertia weight w is linearly or adaptively reduced along with iteration and combines local search to avoid premature convergence, or adopting genetic operator crossover, variation and PSO mixing to improve global search capability, outputting optimal parameter set p And calculating a goodness-of-fit index, namely MSE, residual distribution of the fitted curve and the measured curve.
5. The method for optimizing the precise release position of the resistance reducing agent of the mountain wind farm grounding system according to claim 1, wherein the method for optimizing the precise release position of the resistance reducing agent of the mountain wind farm grounding system based on the soil model obtained by inversion comprises the steps of performing grounding system simulation by CDEGS software, calculating the grounding impedance reduction of a whole network, and identifying the gold point with the highest resistance reduction efficiency of unit release amount, and comprises the following steps: In the constructed grounding grid model, simulating a reference soil model by using a CDEGS to obtain a baseline grounding impedance and potential distribution of each node; creating a low-resistivity volume block at a candidate position by adopting a material replacement method, and simulating the influence of the low-resistivity volume block on the whole-network grounding impedance and the local grounding resistance; and according to the size of the delta R and the sorting of the resistance reduction efficiency delta R/volume of the unit material consumption, identifying a plurality of points with unit input quantity to reduce the maximum resistance value as gold points.
6. The method for optimizing the precise delivery position of the resistance reducing agent of the mountain wind farm grounding system according to claim 1, wherein the parameterized scanning of the identified golden point position is performed to construct a cost-benefit curve, and the method for determining the optimal delivery amount by adopting a marginal benefit threshold method comprises the following steps: And carrying out parameterization scanning on each gold point, adjusting the size and the resistivity of the low-resistance volume, recording corresponding delta R and the material consumption C, constructing a cost C-benefit delta R curve, and adopting convexity analysis or marginal benefit threshold method to determine the optimal cost ratio throwing amount.
7. The method for optimizing the precise throwing position of resistance reducing agent of the mountain land wind farm grounding system according to claim 6, wherein after implementation, ground resistance actual measurement is carried out on a processing point and is compared with simulation prediction, if deviation exceeds limit, soil layering parameters are reversely corrected based on the error, and schemes of other machine positions in the same area are updated to form closed loop optimization.
8. Mountain region wind-powered electricity generation field earth system friction reducer is accurate puts in position optimization system, a serial communication port, include: the data acquisition module is used for collecting multi-source data of the mountain wind power plant, preprocessing the multi-source data and establishing an N-layer parameterized soil model based on the preprocessed data; the model construction module is used for carrying out inversion calculation on the established parameterized soil model to obtain an inverted soil model, outputting high-precision soil layering parameters and calculating a fitting goodness index; The point position output module is used for carrying out ground system simulation by utilizing CDEGS software based on the soil model obtained by inversion, calculating the ground impedance reduction amount of the whole network, and identifying the gold point position with highest impedance reduction efficiency per unit input amount; And the optimization output module is used for carrying out parameterization scanning on the identified gold point location, constructing a cost-benefit curve and determining the optimal delivery amount by adopting a marginal benefit threshold method.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, carries out the steps of the method for optimizing the precise delivery position of resistance-reducing agent of a mountain wind farm grounding system according to any of claims 1 to 7.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method for optimizing the precise delivery position of resistance reducing agent of a mountain wind farm grounding system according to any one of claims 1 to 7.

Description

Method and system for optimizing precise release position of resistance reducing agent of mountain wind farm grounding system Technical Field The invention relates to the field of power system grounding engineering and soil resistivity survey, in particular to a method and a system for optimizing the precise throwing position of a resistance reducing agent of a mountain wind farm grounding system. Background In mountain wind farm construction, the reliability of the grounding system is directly related to safe operation of fans and ancillary electrical equipment. However, the mountain land has the problems of large relief, complex soil resistivity distribution, high ground resistance and the like. The traditional grounding design depends on a small amount of drilling or simplifies a layering model, and lacks of multi-source data support, so that the adding position and the using amount of the resistance reducing agent depend on experience, the cost is high, and the effect is unstable. The existing resistance-reducing scheme has the following defects that the position and the dosage of the resistance-reducing agent are judged empirically: 1. Single data acquisition and insufficient precision The existing design depends on a few drilling or single-point temperature and sodium quadrupole measurement, has limited data coverage, and cannot comprehensively reflect the space change of the relief topography and the complex soil layer structure. 2. Soil parameter inversion efficiency is low and result is unstable The traditional inversion is often realized by manual trial-and-error or simple gradient search, which is time-consuming and easy to sink into local optimum, so that the deviation between the ground resistance predicted value and the actual situation is large, and the engineering safety and the economy are affected. 3. The addition of resistance-reducing agent lacks scientific quantitative basis At present, the resistance reducing agent is mainly judged by experience, and the adding position, the adding range and the adding amount cannot be accurately quantified, so that the material waste or the resistance reducing effect is not ideal. 4. Lack of closed loop authentication mechanism After construction, the system comparison with the simulation result and the model update are absent, and the design flow capable of iterative optimization is difficult to form. Therefore, a technology for fusing multi-source data, automatic inversion and sensitivity analysis is needed, and the optimal design of the precise release position of the resistance reducing agent of the grounding system of the wind power plant in the complex mountain area is realized. Disclosure of Invention The invention aims to provide a method and a system for optimizing the precise throwing position of a resistance reducing agent of a mountain wind farm grounding system, so as to solve the problems. In order to achieve the above purpose, the present invention adopts the following technical scheme: the method for optimizing the precise throwing position of the resistance reducing agent of the mountain wind farm grounding system comprises the following steps: collecting multi-source data of a mountain wind power plant, preprocessing the multi-source data, and establishing an N-layer parameterized soil model based on the preprocessed data; inversion calculation is carried out on the established parameterized soil model, so that an inverted soil model is obtained and used for outputting high-precision soil layering parameters and calculating a goodness-of-fit index; based on the soil model obtained by inversion, performing ground system simulation by using CDEGS software, calculating the ground impedance reduction of the whole network, and identifying the gold point with highest unit input amount resistance reduction efficiency; and carrying out parameterization scanning on the identified golden point, constructing a cost-benefit curve, and determining the optimal throwing amount by adopting a marginal benefit threshold method. Further, the collecting multi-source data of the mountain wind farm, preprocessing the multi-source data, includes: Geological exploration report, topography and topography map, satellite remote sensing image and on-site temperature and nano quadrupole method measurement data, preprocessing the data, wherein the preprocessing of the data comprises noise filtering, outlier rejection, interline interpolation and gridding and storing according to a resolution unit. Further, the establishing an N-layer parameterized soil model based on the preprocessed data includes: Establishing an N-layer model, wherein parameters are { rho_1, h_1, rho_2, h_2, & gt, rho_N bottom layer infinite thickness }, and setting upper and lower boundaries of the parameters according to geological data; Defining an objective function: Wherein the method comprises the steps of For the different polarity spacing of the electrodes,For the parameter vector to be