CN113570285A - Resource utilization ratio adjusting method and device, electronic equipment and medium - Google Patents

Resource utilization ratio adjusting method and device, electronic equipment and medium Download PDF

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CN113570285A
CN113570285A CN202111120261.3A CN202111120261A CN113570285A CN 113570285 A CN113570285 A CN 113570285A CN 202111120261 A CN202111120261 A CN 202111120261A CN 113570285 A CN113570285 A CN 113570285A
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wind
resource utilization
variation coefficient
solar energy
energy
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CN113570285B (en
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王捷儒
申彦波
乌日柴胡
姚锦烽
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Public Meteorological Service Center Of China Meteorological Administration National Early Warning Information Release Center
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Abstract

The invention discloses a resource utilization ratio adjusting method and device, electronic equipment and a medium. The method comprises the following steps: calculating a wind power density daily data variation coefficient based on the wind power density of wind energy in a first preset time period in the past; calculating the variation coefficient of the total irradiation degree day data of the inclined plane based on the total irradiation degree of the inclined plane of the solar energy in the first preset time period in the past; calculating the complementary sequence variation coefficient after the superposition of the wind energy and the solar energy according to different resource utilization ratios; determining the time for improving the stability of the complementary sequence of the wind energy and the solar energy in a second preset time period based on the wind power density daily data variation coefficient, the total irradiation degree daily data variation coefficient of the inclined plane and the complementary sequence variation coefficient; the second preset time period is longer than the first preset time period; the target resource utilization ratio is determined based on the time at which the stability of the complementary sequences of wind energy and solar energy is improved. The method can obtain clean energy to the maximum extent and can reduce the dispatching pressure of the power grid.

Description

Resource utilization ratio adjusting method and device, electronic equipment and medium
Technical Field
The invention relates to the technical field of electric power, in particular to a resource utilization ratio adjusting method and device, electronic equipment and a medium.
Background
Clean energy is an effective means for solving the shortage and excessive emission of the traditional fossil energy. Wind energy and solar energy power generation are used as main force of clean energy, the development speed is high, and particularly in areas with rich wind energy and solar energy resources, the installation scale is continuously increased. However, wind energy and solar energy have unstable characteristics such as volatility, periodicity, intermittence and the like, and if the resource utilization ratio of the wind energy and the solar energy is not adjusted, great impact is caused on the safety of large-scale grid-connected power generation, and the dispatching pressure of a power grid is increased more and more.
Disclosure of Invention
Therefore, the invention provides a resource utilization ratio adjusting method and device, electronic equipment and a medium, which aim to solve the problem of high scheduling pressure caused by the inherent characteristics of clean energy in the prior art.
In order to achieve the above object, a first aspect of the present invention provides a method for adjusting a resource utilization ratio, including:
calculating a wind power density daily data variation coefficient based on the wind power density of wind energy in a first preset time period in the past;
calculating the variation coefficient of the total irradiation degree day data of the inclined plane based on the total irradiation degree of the inclined plane of the solar energy in the first preset time period in the past;
calculating the complementary sequence variation coefficient after the superposition of the wind energy and the solar energy according to different resource utilization ratios;
determining the time for improving the stability of the complementary sequence of the wind energy and the solar energy in a second preset time period based on the wind power density daily data variation coefficient, the total irradiation degree daily data variation coefficient of the inclined plane and the complementary sequence variation coefficient; the second preset time period is longer than the first preset time period;
determining a target resource utilization ratio based on a time at which stability of the complementary sequence of wind energy and solar energy is improved.
Wherein the wind power density daily data coefficient of variation is determined based on a standard deviation and a mean of the wind power density;
and the total irradiance degree day data variation coefficient of the inclined plane is determined based on the standard deviation and the mean value of the total irradiance of the inclined plane.
Wherein the wind power density is determined based on the wind speed and the local air density.
Wherein the total bevel irradiance is determined based on the direct irradiance, the sky diffuse irradiance, and the ground reflected irradiance on the bevel.
And determining that the stability of the complementary sequences of the wind energy and the solar energy is improved under the condition that the coefficient of variation of the complementary sequences is smaller than the minimum value of the coefficient of variation of the wind power density daily data and the coefficient of variation of the total irradiation degree daily data of the inclined plane.
Wherein the determining a target resource utilization ratio based on the time of the stability improvement of the complementary sequence of wind energy and solar energy comprises:
and determining the resource utilization ratio corresponding to the time when the stability of the complementary sequence is improved to the longest as the target resource utilization ratio.
Wherein the time of stability improvement of the complementary sequence is measured in days.
A second aspect of the present invention provides a resource utilization ratio adjusting apparatus, including:
the first calculation module is used for calculating a wind power density daily data variation coefficient based on the wind power density of wind energy in a first preset time period in the past;
the second calculation module is used for calculating the variation coefficient of the total irradiation degree day data of the inclined plane based on the total irradiation degree of the inclined plane of the solar energy in the first preset time period in the past;
the third calculation module is used for calculating the complementary sequence variation coefficient after the superposition of the wind energy and the solar energy according to different resource utilization ratios;
a first determining module, configured to determine, based on the wind power density daily data variation coefficient, the slope total irradiance daily data variation coefficient, and the complementary sequence variation coefficient, a time for improving stability of the complementary sequence of the wind energy and the solar energy within a second preset time period; the second preset time period is longer than the first preset time period;
a second determination module to determine a target resource utilization ratio based on a time at which a stability of the complementary sequence of wind energy and solar energy is improved.
A third aspect of the invention provides an electronic device comprising one or more processors; and a storage device, on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the resource utilization ratio adjustment method provided by the embodiment.
A fourth aspect of the present invention provides a computer-readable medium on which a computer program is stored, the program, when executed by a processor, implementing the resource utilization ratio adjustment method provided by the present embodiment.
The resource utilization ratio adjusting method provided by the embodiment of the application calculates the daily data variation coefficient of the wind power density based on the wind power density of the wind energy in the past first preset time period; calculating the variation coefficient of the total irradiation degree day data of the inclined plane based on the total irradiation degree of the inclined plane of the solar energy in the first preset time period in the past; calculating the complementary sequence variation coefficient after the superposition of the wind energy and the solar energy according to different resource utilization ratios; determining the time for improving the stability of the complementary sequence of the wind energy and the solar energy in a second preset time period based on the wind power density daily data variation coefficient, the total irradiation degree daily data variation coefficient of the inclined plane and the complementary sequence variation coefficient; and finally, determining a target resource utilization ratio based on the time for improving the stability of the complementary sequences of the wind energy and the solar energy, and adjusting the generated energy of the wind energy and the solar energy according to the target resource utilization ratio, so that clean energy can be obtained to the maximum extent, and the dispatching pressure of a power grid can be reduced.
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Drawings
Fig. 1 is a flowchart of a resource utilization ratio adjustment method according to an embodiment of the present disclosure;
FIG. 2 is a graph of annual changes in stability of wind energy, solar energy and their superimposed values;
FIG. 3 is a graph of the stability of a wind energy to solar energy resource utilization ratio varying from 1:1 to 1: 10;
FIG. 4 is a graph of the change in the resource utilization ratio of wind energy to solar energy from 1:1 to 17: 1;
FIG. 5 is an annual curve of the stability of the resource utilization ratio of wind energy and solar energy;
fig. 6 is a schematic structural diagram of a resource utilization ratio adjusting apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
When the terms "comprises" and/or "comprising … …" are used in this specification, the presence of stated features, integers, steps, operations, elements, and/or components are specified, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the present invention and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The change conditions of the wind energy and the solar energy resources in the day of one year are analyzed, so that the change rule of the solar energy is relatively more consistent, the solar energy has the characteristic of single peak, the solar energy is higher in the day and is 0 at night. For wind energy resources, the monthly curve has no obvious and consistent change trend, but most of the monthly curve has reverse peak regulation characteristics, and the fluctuation amplitude is smaller than photovoltaic. The wind and light resources have opposite change trends in general, and wind energy approaches to a valley value when the photovoltaic approaches to a peak value, so that certain complementarity between the wind and light resources can be preliminarily obtained. Based on the method, the embodiment of the application provides a method for adjusting the utilization ratio of wind energy and solar energy resources.
The embodiment provides a resource utilization ratio adjusting method, which can determine the optimal resource utilization ratio of wind energy and solar energy, so that clean energy can be obtained to the maximum extent, and the adjustment pressure of a power grid can be reduced.
Fig. 1 is a flowchart of a resource utilization ratio adjustment method according to an embodiment of the present application. As shown in fig. 1, the method for adjusting the utilization ratio of wind energy and solar energy resources comprises the following steps:
step S101, calculating a wind power density daily data variation coefficient based on the wind power density of the wind energy in the past first preset time period.
The first preset time period may be set by a user, and may be set to 30 days, 90 days, or one year.
The wind power density in the embodiment is taken as a wind energy resource index, and the influence of wind speed, wind speed distribution and air density is comprehensively considered. The daily variation coefficient of the wind power density is used for measuring the daily variation condition of the wind power density, and the larger the daily variation coefficient of the wind power density is, the larger the daily fluctuation of the wind power density is, and conversely, the smaller the daily fluctuation of the wind power density is.
Step S102, calculating the variation coefficient of the total irradiation degree daily data of the inclined plane based on the total irradiation degree of the inclined plane of the solar energy in the first preset time period in the past.
The total solar irradiance on the inclined plane refers to the total solar irradiance at the optimal inclination angle of the panel receiving the solar energy, wherein the optimal inclination angle can be determined according to the existing mode, and the application does not limit the optimal inclination angle.
The total irradiation degree daily data variation coefficient of the inclined plane is used for measuring the daily variation condition of the total irradiation degree of the inclined plane, the larger the total irradiation degree daily data variation coefficient of the inclined plane is, the larger the daily fluctuation of the total irradiation degree of the inclined plane is, and otherwise, the smaller the daily fluctuation of the total irradiation degree of the inclined plane is.
And step S103, calculating the complementary sequence variation coefficient after the superposition of the wind energy and the solar energy according to different resource utilization ratios.
The resource utilization ratio refers to a utilization ratio of wind energy and solar energy. The resource utilization ratio r is 1:1, which means that the utilization of wind energy and solar energy is the same; the resource utilization ratio r of 5:1 indicates that the utilization of solar energy is 1 energy unit when the utilization of wind energy resources is 5 energy units. The resource utilization ratio r of 1:5 indicates that the utilization of solar energy is 5 energy units when the utilization of wind energy resources is 1 energy unit.
The complementary sequence variation coefficient is used for measuring the resource variation condition after the superposition of wind energy and solar energy. The larger the complementary sequence variation coefficient is, the larger the fluctuation of the resource after the superposition of wind energy and solar energy is, and on the contrary, the smaller the fluctuation of the resource after the superposition of wind energy and solar energy is.
And step S104, determining the time for improving the stability of the complementary sequence of the wind energy and the solar energy in the second preset time period based on the wind power density daily data variation coefficient, the total irradiation degree daily data variation coefficient of the inclined plane and the complementary sequence variation coefficient.
The second preset time period is longer than the first preset time period. The second preset time period may be a time unit of season, year, etc.
The stability is an index for measuring the fluctuation of the variation coefficient, and the higher the stability is, the lower the fluctuation of the variation coefficient is; the lower the stability, the higher the variability. In this embodiment, it is determined that the stability of the complementary sequence is improved when the coefficient of variation of the complementary sequence is smaller than the minimum of the coefficient of variation of the daily data of wind power density and the coefficient of variation of the daily data of total irradiation degree of the inclined plane.
This embodiment is based on wind power density, total irradiance of the ramp, and the daily variation of the complementary sequence, and thus stability is measured in days (or days). For example, the number of days for which the different resource utilization is improved over the stability of the complementary sequence under the different resource utilization is counted.
It is understood that different resource utilization ratios have different coefficient of variation of the obtained complementary sequences, and thus, the number of days for which the stability of the complementary sequences is statistically improved is different.
Step S105, determining a target resource utilization ratio based on the time at which the stability of the complementary sequence of wind energy and solar energy is improved.
The target resource utilization ratio is a ratio of minimum fluctuation of wind-solar complementary resources and improvement of power generation stability and safety.
When different resource utilization ratios are obtained in step S104, the numbers of days for which the stability of the complementary sequences is improved are different, and step S105 determines the resource utilization ratio corresponding to the coefficient of variation of the complementary sequences having the largest number of days for which the stability is improved, as the target resource utilization ratio.
In some embodiments, the coefficient of variation eliminates the difference in dimension or measurement scale of different data sets, the coefficient of variation is determined by standard deviation and mean, and the coefficient of variation COV is calculated by equation (1).
Figure 807766DEST_PATH_IMAGE001
（1）
Where COV denotes the coefficient of variation, σ denotes the standard deviation, and μ denotes the mean.
The mean value μ can be calculated by the formula (2).
Figure 193748DEST_PATH_IMAGE002
（2）
Where μ denotes the mean value and y denotes specific values such as wind power density and total irradiance of the ramp.
The standard deviation σ can be obtained by calculation of formula (3).
Figure 19491DEST_PATH_IMAGE003
（3）
Where σ denotes the standard deviation, μ denotes the mean, and y denotes specific values, such as wind power density and total irradiance of the ramp.
In some embodiments, the wind power density daily data coefficient of variation is determined based on a standard deviation and a mean of the wind power density. When the daily data coefficient of variation of the wind power density is calculated, y represents the wind power density.
In some embodiments, the total irradiance daily profile coefficient of variation for the bevel is determined based on a standard deviation and a mean of the total irradiance for the bevel. And when the variation coefficient of the total irradiation degree daily data of the inclined plane is calculated, y represents the total irradiance of the inclined plane.
In some embodiments, the wind power density is determined based on the wind speed and the local air density, and the wind speed (value) is converted to a wind power density (value) by equation (4).
Figure 8175DEST_PATH_IMAGE004
（4）
Wherein the content of the first and second substances,
Figure 556968DEST_PATH_IMAGE005
which is indicative of the wind power density,
Figure 723638DEST_PATH_IMAGE006
represents a gas constant (287J/kg. K);
Figure 459513DEST_PATH_IMAGE007
is the annual average absolute temperature (. degree.C. + 273).
When the wind speed is not within the effective wind range, the fan impeller cannot be started or stopped, no power is generated, and the wind power density can be set to be 0 for subsequent resource complementarity analysis.
In some embodiments, the total bevel irradiance is determined based on the direct irradiance, the sky diffuse irradiance, and the ground reflected irradiance on the bevel.
For example, the total irradiance of the bevel is determined by equation (5).
Figure 251889DEST_PATH_IMAGE008
（5）
Wherein the content of the first and second substances,
Figure 389609DEST_PATH_IMAGE009
the total irradiance of the solar at the inclined plane is shown,
Figure 428978DEST_PATH_IMAGE010
indicating the direct irradiance on the bevel,
Figure 776783DEST_PATH_IMAGE011
representing the diffuse irradiance of the sky on the slope,
Figure 982636DEST_PATH_IMAGE012
representing the ground reflected irradiance on the slope, the unit W/m of irradiance2。
In some embodiments, the stability of the complementary sequences of wind and solar energy is determined to be improved where the coefficient of variation of the complementary sequences is less than the minimum of the coefficient of variation of the wind power density daily data and the coefficient of variation of the total exposure to the inclined plane daily data.
And calculating the daily wind power density daily data variation coefficient, the inclined plane total irradiation daily data variation coefficient and the complementary sequence variation coefficient to obtain an annual variation curve of the variation coefficient.
FIG. 2 is a graph of annual changes in stability of wind energy, solar energy and their superimposed values. In FIG. 2, the abscissa indicates time (year, month and day), the ordinate indicates the daily data coefficient of variation, "- ● -" indicates the daily data coefficient of variation of total exposure to the inclined plane, "-. tangle-solidup-" indicates the daily data coefficient of variation of wind power density, and "- ■ -" indicates the superimposed value of wind energy and solar energy.
As shown in fig. 2, the daily data variation coefficient of the wind power density is significantly lower than the daily data variation coefficient of the total irradiance on the inclined plane as a whole, and when the utilization ratio of the wind and light resources is r 1, the variation coefficient variation curve is close to the annual variation of the wind resources themselves. And the statistic result shows that the complementary sequence variation coefficient is smaller than the minimum value of the daily data variation coefficient of the solar wind power density and the daily data variation coefficient of the total irradiation degree of the inclined plane in 1 year, namely the stability of the complementary sequence which is close to half of the time in the year after superposition is improved.
In some embodiments, the time of stability improvement of the complementary sequence is measured in days.
If the second predetermined time is set to one year, the number of days in which the stability of the complementary sequence is improved in one year is counted. And counting the days of improvement of the stability of the complementary sequences of the wind energy and the solar energy in comparison with the utilization of different resources, wherein the days of improvement of the stability of the complementary sequences of the different resource utilization in comparison with the corresponding resource utilization may be the same or different.
Since different resource utilization ratios have different days of stability improvement of the corresponding complementary sequences, the resource utilization ratio corresponding to the time when the stability of the complementary sequence is improved the longest is determined as the target resource utilization ratio
Figure 850229DEST_PATH_IMAGE013
I.e. by
Figure 14494DEST_PATH_IMAGE014
. Wherein D is the number of days.
FIG. 3 is a graph of the stability of a wind energy to solar energy resource utilization ratio varying from 1:1 to 1: 10. In fig. 3, the abscissa indicates time (year, month and day), the ordinate indicates a daily data variation coefficient, "- ● -" indicates a wind energy/solar energy resource utilization ratio of 1:1, "-/a-means" indicates a wind energy/solar energy resource utilization ratio of 1:2, "- ■ -" indicates a wind energy/solar energy resource utilization ratio of 1:5, and "-/a-means" indicates a wind energy/solar energy resource utilization ratio of 1: 10.
FIG. 4 is a graph of the change in the resource utilization ratio of wind energy to solar energy from 1:1 to 17: 1. In fig. 4, the abscissa indicates time (year, month, day), the ordinate indicates a daily data variation coefficient, "- ● -" indicates a wind energy/solar energy resource utilization ratio of 1:1, "-/a-means" indicates a wind energy/solar energy resource utilization ratio of 2:1, "- ■ -" indicates a wind energy/solar energy resource utilization ratio of 5:1, and "-/a-means" indicates a wind energy/solar energy resource utilization ratio of 17: 1.
From the graphs of fig. 3 and 4, it can be seen that after the resource utilization ratio of solar energy is increased, the stability index annual change sequence floats upwards integrally, and the stability is worse and worse as the photovoltaic ratio is increased. After the utilization ratio of the wind energy resources is increased, the stability index sequence sinks integrally, and the greater the utilization ratio of the wind energy resources is, the stronger the stability is. This is consistent with the daily variation trend of wind energy and solar energy reflected in fig. 2, and because wind energy approximately presents a single-valley characteristic, but the variation amplitude is far less than the peak-valley difference of the single-peak pattern of solar energy, only by greatly improving the wind energy ratio, the peak clipping and valley filling can be realized, so as to reduce the fluctuation of wind energy and solar energy complementary resource binding power generation.
Fig. 5 is an annual change curve of the stability of the resource utilization ratio of wind energy and solar energy. In fig. 5, the abscissa represents the wind energy/solar energy resource utilization ratio, and the ordinate represents the number of days of improvement in stability. As can be seen from fig. 5, when the resource utilization ratio r of wind energy to solar energy is less than 17, the number of days D of stability improvement monotonously increases with r; when r is more than or equal to 17 and less than or equal to 23, the number D of days for improving the stability is 323 days at the maximum; when r is more than 23, the days D with improved stability show a slow descending trend along with the increase of the resource utilization ratio r, and finally the days D with improved stability are stable at 315 days. Therefore, when the resource utilization ratio r of wind energy and solar energy is 17-23, the fluctuation degree of complementary resources is minimum, and the stability is improved within 323 days in one year.
According to the embodiment of the application, the day change complementarity of wind energy and solar energy is utilized, the variation coefficient is taken as a stability measurement index, the number of days with improved stability is determined as the target resource utilization ratio, the safety and the stability of power generation can be improved, and the pressure of power grid dispatching is relieved. For a certain area in the north of China, the target resource utilization ratio is set to be 17:1 to 23:1, and 323-day stability improvement in one year can be guaranteed.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
The resource utilization ratio adjusting method provided by the embodiment of the application calculates the daily data variation coefficient of the wind power density based on the wind power density of the wind energy in the past first preset time period; calculating the variation coefficient of the total irradiation degree day data of the inclined plane based on the total irradiation degree of the inclined plane of the solar energy in the first preset time period in the past; calculating the complementary sequence variation coefficient after the superposition of the wind energy and the solar energy according to different resource utilization ratios; determining the time for improving the stability of the complementary sequence of the wind energy and the solar energy in a second preset time period based on the wind power density daily data variation coefficient, the total irradiation degree daily data variation coefficient of the inclined plane and the complementary sequence variation coefficient; and finally, determining a target resource utilization ratio based on the time for improving the stability of the complementary sequences of the wind energy and the solar energy, and adjusting the generated energy of the wind energy and the solar energy according to the target resource utilization ratio, so that clean energy can be obtained to the maximum extent, and the dispatching pressure of a power grid can be reduced.
The embodiment of the application also provides a resource utilization ratio adjusting device, which can determine the optimal resource utilization ratio of wind energy and solar energy, so that clean energy can be obtained to the maximum extent, and the adjustment pressure of a power grid can be reduced.
Fig. 6 is a schematic structural diagram of a resource utilization ratio adjusting apparatus according to an embodiment of the present application. As shown in fig. 6, the resource utilization ratio adjusting apparatus includes:
the first calculating module 601 is configured to calculate a wind power density daily data variation coefficient based on a wind power density of wind energy within a first past preset time period.
The first preset time period may be set by a user, and may be set to 30 days, 90 days, or one year.
The wind power density in the embodiment is taken as a wind energy resource index, and the influence of wind speed, wind speed distribution and air density is comprehensively considered. The daily variation coefficient of the wind power density is used for measuring the daily variation condition of the wind power density, and the larger the daily variation coefficient of the wind power density is, the larger the daily fluctuation of the wind power density is, and conversely, the smaller the daily fluctuation of the wind power density is.
The second calculating module 602 is configured to calculate a variation coefficient of total irradiance data of the inclined plane based on the total irradiance of the inclined plane of the solar energy in the past first preset time period.
The total solar irradiance on the inclined plane refers to the total solar irradiance at the optimal inclination angle of the panel receiving the solar energy, wherein the optimal inclination angle can be determined according to the existing mode, and the application does not limit the optimal inclination angle.
The total irradiation degree daily data variation coefficient of the inclined plane is used for measuring the daily variation condition of the total irradiation degree of the inclined plane, the larger the total irradiation degree daily data variation coefficient of the inclined plane is, the larger the daily fluctuation of the total irradiation degree of the inclined plane is, and otherwise, the smaller the daily fluctuation of the total irradiation degree of the inclined plane is.
And a third calculating module 603, configured to calculate a complementary sequence variation coefficient after the wind energy and the solar energy are superimposed according to different resource utilization ratios.
The resource utilization ratio refers to a utilization ratio of wind energy and solar energy. The complementary sequence variation coefficient is used for measuring the resource variation condition after the superposition of wind energy and solar energy. The larger the complementary sequence variation coefficient is, the larger the fluctuation of the resource after the superposition of wind energy and solar energy is, and on the contrary, the smaller the fluctuation of the resource after the superposition of wind energy and solar energy is.
The first determining module 604 is configured to determine, based on the wind power density daily data variation coefficient, the total irradiation degree daily data variation coefficient of the inclined plane, and the complementary sequence variation coefficient, a time for improving the stability of the complementary sequence of wind energy and solar energy in the second preset time period.
The second preset time period is longer than the first preset time period. The second preset time period may be a time unit of season, year, etc. The unit of time may be days.
The stability is an index for measuring the fluctuation of the variation coefficient, and the higher the stability is, the lower the fluctuation of the variation coefficient is; the lower the stability, the higher the variability. In this embodiment, it is determined that the stability of the complementary sequence is improved when the coefficient of variation of the complementary sequence is smaller than the minimum of the coefficient of variation of the daily data of wind power density and the coefficient of variation of the daily data of total irradiation degree of the inclined plane.
This embodiment is based on wind power density, total irradiance of the ramp, and the daily variation of the complementary sequence, and thus stability is measured in days (or days). For example, the number of days for which the different resource utilization is improved over the stability of the complementary sequence under the different resource utilization is counted.
A second determination module 605 for determining a target resource utilization ratio based on the time at which the stability of the complementary sequence of wind energy and solar energy is improved.
The target resource utilization ratio is a ratio of minimum fluctuation of wind-solar complementary resources and improvement of power generation stability and safety.
In some embodiments, the first calculation module 601 determines the wind power density day-to-day data coefficient of variation based on the standard deviation and the mean of the wind power density. The second calculation module 602 determines a total irradiance of the slope based on the direct irradiance, the sky diffuse irradiance, and the ground reflected irradiance on the slope.
The wind power density daily data variation coefficient is determined by a formula (1), a formula (2), a formula (3) and a formula (4), the total inclined plane irradiance is determined by a formula (5), and specific reference is made to a corresponding method part, which is not described herein again.
In some embodiments, the first determining module 604 determines that the stability of the complementary sequences of wind energy and solar energy is improved if the coefficient of variation of the complementary sequences is less than the minimum of the coefficient of variation of the daily data of wind power density and the coefficient of variation of the daily data of total irradiance on the inclined plane.
In some embodiments, the time of stability improvement of the complementary sequence is measured in days.
If the second predetermined time is set to one year, the number of days in which the stability of the complementary sequence is improved in one year is counted. And counting the days of improvement of the stability of the complementary sequences of the wind energy and the solar energy in comparison with the utilization of different resources, wherein the days of improvement of the stability of the complementary sequences of the different resource utilization in comparison with the corresponding resource utilization may be the same or different.
Since different resource utilization ratios have different days of stability improvement of the corresponding complementary sequences, the resource utilization ratio corresponding to the time when the stability of the complementary sequence is improved the longest is determined as the target resource utilization ratio
Figure 849595DEST_PATH_IMAGE015
I.e. by
Figure 593560DEST_PATH_IMAGE016
. Wherein D is the number of days.
Each module in the present embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, or may be implemented by a combination of a plurality of physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements are not present in the present embodiment.
In the resource utilization ratio adjusting apparatus provided in this embodiment, the first calculating module calculates a daily data variation coefficient of wind power density based on the wind power density of the wind energy in the past first preset time period; the second calculation module calculates the variation coefficient of the total irradiation degree daily data of the inclined plane based on the total irradiation degree of the inclined plane of the solar energy in the first preset time period in the past; the third calculation module calculates the complementary sequence variation coefficient after the superposition of the wind energy and the solar energy according to different resource utilization ratios; the first determining module determines the time for improving the stability of the complementary sequence of the wind energy and the solar energy in a second preset time period based on the wind power density daily data variation coefficient, the total irradiation degree daily data variation coefficient of the inclined plane and the complementary sequence variation coefficient; the second determining module determines a target resource utilization ratio based on the time for improving the stability of the complementary sequence of the wind energy and the solar energy, and adjusts the generated energy of the wind energy and the solar energy through the target resource utilization ratio, so that clean energy can be obtained to the maximum extent, and the dispatching pressure of a power grid can be reduced.
Referring to fig. 7, an embodiment of the present disclosure provides an electronic device, which includes:
one or more processors 701;
a memory 702 on which one or more programs are stored, which, when executed by one or more processors, cause the one or more processors to implement the resource utilization ratio adjustment method of any one of the above;
one or more I/O interfaces 703 connected between the processor and the memory, configured to enable information interaction between the processor and the memory.
The processor 701 is a device with data processing capability, and includes but is not limited to a Central Processing Unit (CPU) and the like; memory 702 is a device having data storage capabilities including, but not limited to, random access memory (RAM, more specifically SDRAM, DDR, etc.), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), FLASH memory (FLASH); an I/O interface (read/write interface) 703 is coupled between the processor 701 and the memory 702 and enables information interaction between the processor 701 and the memory 702, including but not limited to a data Bus (Bus) or the like.
In some embodiments, the processor 701, memory 702, and I/O interface 703 are connected to each other, and thus to other components of the computing device, by a bus.
The present embodiment further provides a computer readable medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for adjusting a resource utilization ratio provided in the present embodiment, and in order to avoid repeated descriptions, detailed steps of the method for adjusting a resource utilization ratio are not described herein again.
It will be understood by those of ordinary skill in the art that all or some of the steps of the above inventive method, systems, functional modules/units in the apparatus may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than others, combinations of features of different embodiments are meant to be within the scope of the embodiments and form different embodiments.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.

Claims (10)

1. A resource utilization ratio adjustment method is characterized by comprising the following steps:
calculating a wind power density daily data variation coefficient based on the wind power density of wind energy in a first preset time period in the past;
calculating the variation coefficient of the total irradiation degree day data of the inclined plane based on the total irradiation degree of the inclined plane of the solar energy in the first preset time period in the past;
calculating the complementary sequence variation coefficient after the superposition of the wind energy and the solar energy according to different resource utilization ratios;
determining the time for improving the stability of the complementary sequence of the wind energy and the solar energy in a second preset time period based on the wind power density daily data variation coefficient, the total irradiation degree daily data variation coefficient of the inclined plane and the complementary sequence variation coefficient; the second preset time period is longer than the first preset time period;
determining a target resource utilization ratio based on a time at which stability of the complementary sequence of wind energy and solar energy is improved.
2. The method of claim 1, wherein the wind power density daily data coefficient of variation is determined based on a standard deviation and a mean of the wind power density;
and the total irradiance degree day data variation coefficient of the inclined plane is determined based on the standard deviation and the mean value of the total irradiance of the inclined plane.
3. The method of claim 1, wherein the wind power density is determined based on wind speed and local air density.
4. The method of claim 1, wherein the total bevel irradiance is determined based on a direct irradiance, a sky diffuse irradiance, and a ground reflected irradiance on a bevel.
5. The method of claim 1, wherein the stability of the complementary sequences of wind and solar energy is determined to be improved if the coefficient of variation of the complementary sequences is less than the minimum of the coefficient of variation of the wind power density daily data and the coefficient of variation of the total irradiance daily data for the inclined plane.
6. The method of claim 1, wherein determining a target resource utilization ratio based on the time at which the stability of the complementary sequence of wind energy and solar energy is improved comprises:
and determining the resource utilization ratio corresponding to the time when the stability of the complementary sequence is improved to the longest as the target resource utilization ratio.
7. The method of claim 1, wherein the time of the stability improvement of the complementary sequence is measured in days.
8. A resource utilization ratio adjusting apparatus, comprising:
the first calculation module is used for calculating a wind power density daily data variation coefficient based on the wind power density of wind energy in a first preset time period in the past;
the second calculation module is used for calculating the variation coefficient of the total irradiation degree day data of the inclined plane based on the total irradiation degree of the inclined plane of the solar energy in the first preset time period in the past;
the third calculation module is used for calculating the complementary sequence variation coefficient after the superposition of the wind energy and the solar energy according to different resource utilization ratios;
a first determining module, configured to determine, based on the wind power density daily data variation coefficient, the slope total irradiance daily data variation coefficient, and the complementary sequence variation coefficient, a time for improving stability of the complementary sequence of the wind energy and the solar energy within a second preset time period; the second preset time period is longer than the first preset time period;
a second determination module to determine a target resource utilization ratio based on a time at which a stability of the complementary sequence of wind energy and solar energy is improved.
9. An electronic device, comprising:
one or more processors;
storage means on which is stored one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7;
one or more I/O interfaces connected between the processor and the memory and configured to enable information interaction between the processor and the memory.
10. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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