A method and system for calculating the power output contribution of new energy generation

Abstract

This invention discloses a method and system for calculating the contribution of new energy power generation output, comprising: acquiring a pre-constructed index system of the contribution of new energy power generation output to power grid dispatch; acquiring power grid energy data from a power grid energy management system including new energy sources; calculating the contribution of each index in the index system based on the power grid energy data; and determining the comprehensive contribution of new energy based on the contribution of each index. Advantages: This invention addresses the uncertainty and volatility of new energy participation in power grid regulation, solves the measurement problem in the development of new energy, and provides a useful reference for the planning and dispatch of new energy.

Description

Technical Field

[0001] This invention relates to a method and system for calculating the contribution of new energy power generation, belonging to the field of power system dispatching technology. Background Technology

[0002] In recent years, wind and solar power installations have developed rapidly, and new energy power generation is gradually shifting from a supplementary power source to a major power source. New energy power generation is expected to continue its rapid development in the future. The volatility and intermittency of new energy power generation distinguish it from conventional power sources. New energy output often exhibits characteristics of "extreme heat with no wind, extreme cold with no sunlight, and no sunlight during evening peak hours," precisely when increased power output is needed, but wind and solar power often cannot keep up. Similarly, hydropower cannot generate electricity stably during the dry season. How to measure the contribution of new energy output to grid dispatch is a fundamental issue in the development of new energy.

[0003] Existing studies mostly analyze the correlation between new energy fluctuations and load from the perspective of the power generation characteristics of new energy sources. However, in general, there is a lack of research and analysis on the contribution of new energy power generation, and a systematic, comprehensive and effective evaluation method is lacking. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the defects of the prior art and provide a method and system for calculating the contribution of new energy power generation output.

[0005] To address the aforementioned technical problems, this invention provides a method for calculating the contribution of new energy power generation, comprising:

[0006] To obtain a pre-constructed indicator system for the contribution of new energy power generation output to grid dispatch;

[0007] Obtain grid energy data from grid energy management systems that include new energy sources;

[0008] The contribution of each indicator in the indicator system is calculated based on the power grid energy data.

[0009] The overall contribution of new energy sources is determined based on the contribution of each indicator.

[0010] Furthermore, the indicator system includes the following indicators: power contribution, balance contribution, peak shaving contribution, and deviation contribution.

[0011] The power contribution F DL This is used to measure the contribution of new energy power generation to meeting the grid load demand; 0 < F DL <1, the closer the value is to 0, the lower the contribution of new energy power generation; the closer the value is to 1, the higher the contribution of new energy power generation.

[0012] The balance contribution F PH This is used to measure the impact of renewable energy generation output on grid balance during peak and off-peak periods, where 0 < F. PH <1, the closer the value is to 0, the smaller the effect of new energy on the grid balance during peak and off-peak periods; the closer the value is to 1, the greater the effect of new energy on the grid balance during peak and off-peak periods.

[0013] The peak-shaving contribution F TF This is used to measure the impact of the fluctuation in renewable energy power generation output on the peak-valley difference of the power grid, -1 < F TF <1, the closer the value is to 0, the smaller the effect of new energy on the grid in smoothing the peak-valley difference; the closer the value is to 1, the greater the effect of new energy on the grid in smoothing the peak-valley difference; a negative value indicates that new energy has a negative effect on the grid's peak regulation, and a positive value indicates that new energy has a positive effect on the grid's peak regulation.

[0014] The deviation contribution rate is used to measure the impact of the deviation between the predicted and actual output of new energy power generation on the power grid, 0 < F PC <1, the closer the value is to 0, the smaller the prediction deviation of new energy sources and the greater their contribution to grid regulation; the closer the value is to 1, the greater the prediction deviation of new energy sources and the smaller their contribution to grid regulation.

[0015] Furthermore, the grid energy data includes:

[0016] The grid load data L(t0,…,tN) at N points determines the time of the peak load Lmax as Tmax and the time of the minimum load Lmin as Tmin. N points indicate that the data of one day is divided into N collection points.

[0017] Regional power transmission data Ps(t0,…,tN);

[0018] Purchased electricity data Pr(t0,…,tN);

[0019] Minimum output curve Pc(t0,…,tN) for conventional energy units;

[0020] Actual power generation data from new energy sources: Pxin(t0,…,tN);

[0021] New energy power generation forecast data Pxc(t0,…,tN);

[0022] The calculated power generation curve within the region:

[0023] L'(t0,...,tN)=L(t0,...,tN)-Ps(t0,...,tN)+Pr(t0,...,tN);

[0024] The calculated conventional energy generation curve for the region:

[0025] L2(t0,…,tN)=L(t0,…,tN)-Ps(t0,…,tN)+Pr(t0,…,tN)-Pxc(t0,…,tN);

[0026] The maximum value of the conventional energy power generation curve within the region is determined to be L. 2max The minimum load is L 2min ;

[0027] Calculated available power generation space:

[0028] P fd (t0,...,tN)=L'(t0,...,tN)-Pc(t0,...,tN).

[0029] Furthermore, the process of calculating the contribution of each indicator in the indicator system based on the power grid energy data includes:

[0030] Calculate the contribution of electricity consumption:

[0031] F DL =J*F DLJ +F*F DLF +P*F DLP +G*F DLG

[0032] J represents the coefficient at the load peak, F DLJ Indicates the electrical contribution of the tip segment;

[0033] F represents the coefficient during peak load periods. DLF This indicates the contribution of electricity generation during peak periods;

[0034] P represents the coefficient during the load flat section, F DLP This indicates the electricity contribution rate during the flat section;

[0035] G represents the coefficient during the load trough, F DLG This indicates the contribution of electricity generation during off-peak hours;

[0036] J+F+P+G=1;

[0037] The formula for calculating the electricity contribution of each segment is as follows:

[0038]

[0039] In the formula, F DL(JFPG) P represents the electricity contribution in each time period. xin(JFPG) P represents the amount of electricity generated by new energy sources in each time period. fd(JFPG) This represents the total amount of electricity generated in each time period;

[0040] Calculate the balance contribution:

[0041]

[0042] In the peak period, if the actual output of new energy is greater than the predicted output and within 100%, its contribution coefficient is calculated as 1; in the peak period, if the actual output of new energy is greater than the predicted output, it is calculated as -1; in the valley period, positive deviation is calculated as -1 and negative deviation is calculated as 1; in the flat period, the contribution of the deviation is calculated according to the absolute value of the actual deviation.

[0043] Calculate the contribution of the deviation:

[0044] F PC =F PC (JFPG)*A

[0045] F PC (JFPG) represents the deviation contribution of each time period, and A represents the calculation coefficient in different time periods such as peak, flat, and valley.

[0046] F PC The calculation coefficient A for (JFPG) values ​​at different times (peak, flat, and valley) is shown in the table below:

[0047]

[0048] The percentages in the table represent the percentage deviation of load resources during different peak, off-peak, and valley periods;

[0049]

[0050] P in the formula xin (J) represents the actual power generation output of new energy sources at the peak, P xc (J) represents the predicted output of new energy sources at the peak, P xin (F) represents the actual power generation output of new energy sources during peak hours, P xc (F) represents the predicted output of new energy sources during peak periods, P xin (P) represents the actual power generation output of new energy sources during the flat section, P xc (P) represents the predicted output of new energy sources during the flat section, P xin (G) represents the actual power generation output of new energy sources during the valley period, P xc (G) represents the predicted output of new energy sources during the valley period;

[0051] Calculate peak-shaving contribution:

[0052]

[0053]

[0054]

[0055] In the formula, V1 represents the peak-valley difference including load, and V2 represents the peak-valley difference of conventional energy generation after deducting renewable energy generation.

[0056] Furthermore, the process of determining the overall contribution of new energy sources based on the contribution of each indicator includes:

[0057] The overall contribution of new energy sources is calculated using the following formula:

[0058] F xin =A1*F DL +A2*F PH +A3*F TF +A4*F PC

[0059] A1+A2+A3+A4=1;

[0060] Among them, A1, A2, A3 and A4 represent the coefficients of electricity contribution, balance contribution, peak shaving contribution and deviation contribution, respectively.

[0061] A system for calculating the contribution of new energy power generation, comprising:

[0062] The first acquisition module is used to acquire a pre-built indicator system for the contribution of new energy power generation output to grid dispatch;

[0063] The second acquisition module is used to acquire grid energy data from the grid energy management system, which includes new energy sources;

[0064] The calculation module is used to calculate the contribution of each indicator in the indicator system based on the power grid energy data.

[0065] The determination module is used to determine the overall contribution of new energy sources based on the contribution of each indicator.

[0066] Furthermore, the first acquisition module includes an indicator system construction module, used to construct an indicator system including the power contribution F. DL Balanced contribution F PH Peak-shaving contribution F TF Deviation contribution F PC The indicator system;

[0067] The power contribution F DL This is used to measure the contribution of new energy power generation to meeting the grid load demand; 0 < F DL <1, the closer the value is to 0, the lower the contribution of new energy power generation; the closer the value is to 1, the higher the contribution of new energy power generation.

[0068] The balance contribution FPH This is used to measure the impact of renewable energy generation output on grid balance during peak and off-peak periods, where 0 < F. PH <1, the closer the value is to 0, the smaller the effect of new energy on the grid balance during peak and off-peak periods; the closer the value is to 1, the greater the effect of new energy on the grid balance during peak and off-peak periods.

[0069] The peak-shaving contribution F TF This is used to measure the impact of the fluctuation in renewable energy power generation output on the peak-valley difference of the power grid, -1 < F TF <1, the closer the value is to 0, the smaller the effect of new energy on the grid in smoothing the peak-valley difference; the closer the value is to 1, the greater the effect of new energy on the grid in smoothing the peak-valley difference; a negative value indicates that new energy has a negative effect on the grid's peak regulation, and a positive value indicates that new energy has a positive effect on the grid's peak regulation.

[0070] The deviation contribution F PC This is used to measure the impact of the deviation between the predicted and actual power generation output of new energy sources on the power grid, where 0 < F. PC <1, the closer the value is to 0, the smaller the prediction deviation of new energy sources and the greater their contribution to grid regulation; the closer the value is to 1, the greater the prediction deviation of new energy sources and the smaller their contribution to grid regulation.

[0071] Furthermore, the second acquisition module includes:

[0072] The new energy and load output data acquisition module is used to acquire...

[0073] The grid load data L(t0,…,tN) at N points determines the time of the peak load Lmax as Tmax and the time of the minimum load Lmin as Tmin. N points indicate that the data of one day is divided into N collection points.

[0074] Regional power transmission data Ps(t0,…,tN);

[0075] Purchased electricity data Pr(t0,…,tN);

[0076] Minimum output curve Pc(t0,…,tN) for conventional energy units;

[0077] Actual power generation data from new energy sources: Pxin(t0,…,tN);

[0078] New energy power generation forecast data Pxc(t0,…,tN);

[0079] The regional power generation curve calculation module is used to calculate the regional power generation curve.

[0080] L'(t0,...,tN)=L(t0,...,tN)-Ps(t0,...,tN)+Pr(t0,...,tN);

[0081] The module for calculating the conventional energy generation curve within a region is used to calculate the conventional energy generation curve within that region.

[0082] L2(t0,…,tN)=L(t0,…,tN)-Ps(t0,…,tN)+Pr(t0,…,tN)-Pxc(t0,…,tN),

[0083] The maximum value of the conventional energy power generation curve within the region is determined to be L. 2max The minimum load is L 2min ;

[0084] Available power generation space calculation module, used to calculate available power generation space:

[0085] P fd (t0,...,tN)=L'(t0,...,tN)-Pc(t0,...,tN).

[0086] Furthermore, the computing module includes:

[0087] The power contribution calculation module is used to calculate the power contribution.

[0088] F DL =J*F DLJ +F*F DLF +P*F DLP +G*F DLG

[0089] J represents the coefficient at the load peak, F DLJ Indicates the electrical contribution of the tip segment;

[0090] F represents the coefficient during peak load periods. DLF This indicates the contribution of electricity generation during peak periods;

[0091] P represents the coefficient during the load flat section, F DLP This indicates the electricity contribution rate during the flat section;

[0092] G represents the coefficient during the load trough, F DLG This indicates the contribution of electricity generation during off-peak hours;

[0093] J+F+P+G=1;

[0094] The formula for calculating the electricity contribution of each segment is as follows:

[0095]

[0096] In the formula, F DL(JFPG)P represents the electricity contribution in each time period. xin(JFPG) P represents the amount of electricity generated by new energy sources in each time period. fd(JFPG) This represents the total amount of electricity generated in each time period;

[0097] The balance contribution calculation module is used to calculate the balance contribution.

[0098]

[0099] In the peak period, if the actual output of new energy is greater than the predicted output and within 100%, its contribution coefficient is calculated as 1; in the peak period, if the actual output of new energy is greater than the predicted output, it is calculated as -1; in the valley period, positive deviation is calculated as -1 and negative deviation is calculated as 1; in the flat period, the contribution of the deviation is calculated according to the absolute value of the actual deviation.

[0100] The deviation contribution calculation module is used to calculate the deviation contribution.

[0101] F PC =F PC (JFPG)*A

[0102] F PC (JFPG) represents the deviation contribution of each time period, and A represents the calculation coefficient in different time periods such as peak, flat, and valley.

[0103] F PC The calculation coefficient A for (JFPG) values ​​at different times (peak, flat, and valley) is shown in the table below:

[0104]

[0105] The percentages in the table represent the percentage deviation of load resources during different peak, off-peak, and valley periods;

[0106]

[0107] P in the formula xin (J) represents the actual power generation output of new energy sources at the peak, P xc (J) represents the predicted output of new energy sources at the peak, P xin (F) represents the actual power generation output of new energy sources during peak hours, P xc (F) represents the predicted output of new energy sources during peak periods, P xin (P) represents the actual power generation output of new energy sources during the flat section, P xc (P) represents the predicted output of new energy sources during the flat section, P xin (G) represents the actual power generation output of new energy sources during the valley period, P xc (G) represents the predicted output of new energy sources during the valley period;

[0108] The peak shaving contribution calculation module is used to calculate the peak shaving contribution.

[0109]

[0110]

[0111]

[0112] In the formula, V1 represents the peak-valley difference including load, and V2 represents the peak-valley difference of conventional energy generation after deducting renewable energy generation.

[0113] Furthermore, the determining module is used to calculate the comprehensive contribution of new energy sources using the following formula:

[0114] F xin =A1*F DL +A2*F PH +A3*F TF +A4*F PC

[0115] A1+A2+A3+A4=1;

[0116] Among them, A1, A2, A3 and A4 represent the coefficients of electricity contribution, balance contribution, peak shaving contribution and deviation contribution, respectively.

[0117] The beneficial effects achieved by this invention are as follows:

[0118] This invention, starting from the characteristics of renewable energy output and the demand characteristics of the power grid, constructs an index system for the contribution of renewable energy generation to power grid dispatch. Combining the impact of the indicators in this system on power grid dispatch, it establishes calculation methods for the contribution of renewable energy at different dispatch times. This provides an evaluation system for the future clean development of the power grid and the development of a power system dominated by renewable energy, solving the measurement problems in the process of renewable energy development and providing a useful reference for the planning and dispatch of renewable energy. Attached Figure Description

[0119] Figure 1 This is a flowchart illustrating the present invention. Detailed Implementation

[0120] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0121] A method for calculating the contribution of new energy power generation output, as shown in the appendix. Figure 1 As shown, it includes the following steps:

[0122] 1. First, define an indicator for the contribution of new energy power generation output to grid dispatch: four indicators characterizing the contribution of new energy: power contribution, balance contribution, peak shaving contribution, and deviation contribution.

[0123] a. Electricity contribution, used to measure the contribution of new energy power generation to meeting the grid load demand, and satisfies the following relationship:

[0124] 0 < F DL <1 (1)

[0125] Among them, F DL The closer the value is to 1, the higher the proportion of renewable energy power generation in the total load; the closer the value is to 0, the higher the proportion of renewable energy power generation in the total load supply.

[0126] b. Balance contribution, used to measure the impact of renewable energy generation output on grid balance during peak and off-peak periods, and satisfies the following relationship:

[0127] 0 < F PH <1 (2)

[0128] Among them, F PH The closer the value is to 1, the greater the contribution of new energy sources to grid balance during peak and off-peak periods. PH The closer the value is to 0, the smaller the effect of new energy on grid balance during peak and off-peak periods;

[0129] c. Peak-shaving contribution, used to measure the impact of fluctuations in renewable energy power generation output on the peak-valley difference of the power grid, and must meet the following requirements:

[0130] -1 < F TF <1 (3)

[0131] Among them, F TH The closer the value is to 1, the greater the effect of new energy on smoothing the peak-valley difference in the power grid. TH A negative value indicates that new energy sources have a negative effect on peak shaving of the power grid;

[0132] d. Deviation Contribution: This measures the impact of the deviation between the predicted and actual power generation output of new energy sources on the power grid, and must meet the following requirements:

[0133] 0 < F PC <1 (4)

[0134] Among them, F TH The closer the value is to 0, the smaller the prediction deviation of new energy sources, and the more useful they are for grid regulation. TH The closer the value is to 1, the greater the prediction deviation of new energy sources and the smaller their contribution to power grid regulation.

[0135] 2. Obtain relevant data from the power grid energy management system.

[0136] a. Power grid load data at point 96: L(t0,…,t96), taking the peak load time Tmax, the maximum load as Lmax, the minimum load as Lmin, and the time as Tmin;

[0137] b. Data on power transmission from outside the region: P s (t0,…,t96);

[0138] c. Purchased electricity data: P r (t0,…,t96);

[0139] d. Minimum output curve of conventional energy units: P c (t0,…,t96);

[0140] e. Actual power generation data from new energy sources: P xin (t0,…,t96);

[0141] f. New energy power generation forecast data: P xc (t0,…,t96);

[0142] 3. Calculate the power generation and consumption curves.

[0143] a. Calculate the power generation curve within the region: L'(t0,…,t96)=L(t0,…,t96)-P s( t0,…,t96)+P r (t0,…,t96);

[0144] b. Calculate the conventional energy generation curve within the region: L2(t0,…,t96)=L(t0,…,t96)-P s( t0,…,t96)+P r (t0,…,t96)-P xc (t0,…,t96);

[0145] c. Take the maximum value of the conventional energy power generation curve in the region as L2max and the minimum load as L2min;

[0146] d. Calculate available power generation space: P fd (t0,…,t96)=L'(t0,…,t96)-P c (t0,…,t96)

[0147] 4. Calculate the four contribution levels

[0148] a. Calculation of Electricity Contribution

[0149]

[0150] F DL =J*F DLJ +F*F DLF +P*F DLP +G*F DLG

[0151] J represents the coefficient at the load peak, F DLJ Indicates the balance contribution of the apex segment;

[0152] F represents the coefficient during peak load periods. DLF This indicates the balance contribution of the peak segment;

[0153] J represents the coefficient during the load flat section, F DLP Indicates the balance contribution of the horizontal segment;

[0154] J represents the coefficient during the load trough, F DLG Indicates the balance contribution of the valley segment;

[0155] J+F+P+G=1;

[0156] In the actual operation of the power grid, from the perspective of power balance, the contribution of new energy sources in the peak and off-peak periods is more valued by the power grid. Therefore, the allocation coefficient for the peak and off-peak periods is higher than that for the flat and off-peak periods.

[0157] b. Calculation of Balance Contribution

[0158]

[0159] In the actual operation of the power grid, to ensure that new energy sources play a role in grid dispatch, the calculation methods for the prediction deviations of new energy sources at the peak, mid-peak, and valley levels are different. At the peak, if the actual output of new energy sources is greater than the predicted output by 100%, its contribution coefficient can be calculated as 1; if the actual output is greater than the predicted output, it is calculated as -1. In the valley, positive deviations are calculated as -1, and negative deviations are calculated as 1. In the mid-peak, the contribution of the deviation is calculated according to the absolute value of the actual deviation.

[0160] c. Calculation of Deviation Contribution

[0161] F PC =F PC (JFPG)*A

[0162] F PC The calculation coefficients for (JFPG) values ​​at different times (peak, flat, and valley) are shown in the table below:

[0163]

[0164]

[0165] d. Calculation of peak-shaving contribution

[0166] Peak shaving contribution rate is based on the peak-valley difference rate, a basic indicator used to describe load characteristics. It refers to the ratio of the difference between the maximum and minimum loads within a certain time period to the maximum load within that period. The peak shaving contribution rate compares the peak-valley difference of the load with the peak-valley difference including renewable energy sources.

[0167]

[0168]

[0169]

[0170] 5. Calculate the contribution of new energy sources

[0171] Contribution of new energy sources F xin =A1*F DL +A2*F PH +A3*F TF +A4*F PC

[0172] A1+A2+A3+A4=1;

[0173] Accordingly, the present invention also provides a new energy power generation output contribution calculation system, comprising:

[0174] The first acquisition module is used to acquire a pre-built indicator system for the contribution of new energy power generation output to grid dispatch;

[0175] The second acquisition module is used to acquire grid energy data from the grid energy management system, which includes new energy sources;

[0176] The calculation module is used to calculate the contribution of each indicator in the indicator system based on the power grid energy data.

[0177] The determination module is used to determine the overall contribution of new energy sources based on the contribution of each indicator.

[0178] Furthermore, the first acquisition module includes an indicator system construction module, used to construct an indicator system including the power contribution F. DL Balanced contribution F PH Peak-shaving contribution F TF Deviation contribution F PC The indicator system;

[0179] The power contribution F DLThis is used to measure the contribution of new energy power generation to meeting the grid load demand; 0 < F DL <1, the closer the value is to 0, the lower the contribution of new energy power generation; the closer the value is to 1, the higher the contribution of new energy power generation.

[0180] The balance contribution F PH This is used to measure the impact of renewable energy generation output on grid balance during peak and off-peak periods, where 0 < F. PH <1, the closer the value is to 0, the smaller the effect of new energy on the grid balance during peak and off-peak periods; the closer the value is to 1, the greater the effect of new energy on the grid balance during peak and off-peak periods.

[0181] The peak-shaving contribution F TF This is used to measure the impact of the fluctuation in renewable energy power generation output on the peak-valley difference of the power grid, -1 < F TF <1, the closer the value is to 0, the smaller the effect of new energy on the grid in smoothing the peak-valley difference; the closer the value is to 1, the greater the effect of new energy on the grid in smoothing the peak-valley difference; a negative value indicates that new energy has a negative effect on the grid's peak regulation, and a positive value indicates that new energy has a positive effect on the grid's peak regulation.

[0182] The deviation contribution F PC This is used to measure the impact of the deviation between the predicted and actual power generation output of new energy sources on the power grid, where 0 < F. PC <1, the closer the value is to 0, the smaller the prediction deviation of new energy sources and the greater their contribution to grid regulation; the closer the value is to 1, the greater the prediction deviation of new energy sources and the smaller their contribution to grid regulation.

[0183] Furthermore, the second acquisition module includes:

[0184] The new energy and load output data acquisition module is used to acquire...

[0185] The grid load data L(t0,…,tN) at N points determines the time of the peak load Lmax as Tmax and the time of the minimum load Lmin as Tmin. N points indicate that the data of one day is divided into N collection points.

[0186] Regional power transmission data Ps(t0,…,tN);

[0187] Purchased electricity data Pr(t0,…,tN);

[0188] Minimum output curve Pc(t0,…,tN) for conventional energy units;

[0189] Actual power generation data from new energy sources: Pxin(t0,…,tN);

[0190] New energy power generation forecast data Pxc(t0,…,tN);

[0191] The regional power generation curve calculation module is used to calculate the regional power generation curve.

[0192] L'(t0,...,tN)=L(t0,...,tN)-Ps(t0,...,tN)+Pr(t0,...,tN);

[0193] The module for calculating the conventional energy generation curve within a region is used to calculate the conventional energy generation curve within that region.

[0194] L2(t0,…,tN)=L(t0,…,tN)-Ps(t0,…,tN)+Pr(t0,…,tN)-Pxc(t0,…,tN),

[0195] The maximum value of the conventional energy power generation curve within the region is determined to be L. 2max The minimum load is L 2min ;

[0196] Available power generation space calculation module, used to calculate available power generation space:

[0197] P fd (t0,...,tN)=L'(t0,...,tN)-Pc(t0,...,tN).

[0198] Furthermore, the computing module includes:

[0199] The power contribution calculation module is used to calculate the power contribution.

[0200] F DL =J*F DLJ +F*F DLF +P*F DLP +G*F DLG

[0201] J represents the coefficient at the load peak, F DLJ Indicates the electrical contribution of the tip segment;

[0202] F represents the coefficient during peak load periods. DLF This indicates the contribution of electricity generation during peak periods;

[0203] P represents the coefficient during the load flat section, F DLP This indicates the electricity contribution rate during the flat section;

[0204] G represents the coefficient during the load trough, F DLG This indicates the contribution of electricity generation during off-peak hours;

[0205] J+F+P+G=1;

[0206] The formula for calculating the electricity contribution of each segment is as follows:

[0207]

[0208] In the formula, F DL(JFPG) P represents the electricity contribution in each time period. xin(JFPG) P represents the amount of electricity generated by new energy sources in each time period. fd(JFPG) This represents the total amount of electricity generated in each time period;

[0209] The balance contribution calculation module is used to calculate the balance contribution.

[0210]

[0211] In the peak period, if the actual output of new energy is greater than the predicted output and within 100%, its contribution coefficient is calculated as 1; in the peak period, if the actual output of new energy is greater than the predicted output, it is calculated as -1; in the valley period, positive deviation is calculated as -1 and negative deviation is calculated as 1; in the flat period, the contribution of the deviation is calculated according to the absolute value of the actual deviation.

[0212] The deviation contribution calculation module is used to calculate the deviation contribution.

[0213] F PC =F PC (JFPG)*A

[0214] F PC (JFPG) represents the deviation contribution of each time period, and A represents the calculation coefficient in different time periods such as peak, flat, and valley.

[0215] F PC The calculation coefficient A for (JFPG) values ​​at different times (peak, flat, and valley) is shown in the table below:

[0216]

[0217] The percentages in the table represent the percentage deviation of load resources during different peak, off-peak, and valley periods;

[0218]

[0219] P in the formula xin (J) represents the actual power generation output of new energy sources at the peak, P xc (J) represents the predicted output of new energy sources at the peak, P xin (F) represents the actual power generation output of new energy sources during peak hours, P xc (F) represents the predicted output of new energy sources during peak periods, P xin (P) represents the actual power generation output of new energy sources during the flat section, P xc(P) represents the predicted output of new energy sources during the flat section, P xin (G) represents the actual power generation output of new energy sources during the valley period, P xc (G) represents the predicted output of new energy sources during the valley period;

[0220] The peak shaving contribution calculation module is used to calculate the peak shaving contribution.

[0221]

[0222]

[0223]

[0224] In the formula, V1 represents the peak-valley difference including load, and V2 represents the peak-valley difference of conventional energy generation after deducting renewable energy generation.

[0225] Furthermore, the determining module is used to calculate the comprehensive contribution of new energy sources using the following formula:

[0226] F xin =A1*F DL +A2*F PH +A3*F TF +A4*F PC

[0227] A1+A2+A3+A4=1;

[0228] Among them, A1, A2, A3 and A4 represent the coefficients of electricity contribution, balance contribution, peak shaving contribution and deviation contribution, respectively.

[0229] This invention starts from the characteristics of new energy output and the demand characteristics of the power grid, and combines the division of peak and valley periods with the impact of new energy on power generation, balance, peak regulation and deviation on power grid dispatch. For different dispatch times, it establishes a calculation method for the contribution of new energy, and establishes an evaluation system for the future clean development of the power grid and the development of a power system with new energy as the main body.

[0230] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0231] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0232] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0233] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0234] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for calculating the contribution of new energy power generation, characterized in that, include: To obtain a pre-constructed indicator system for the contribution of new energy power generation output to grid dispatch; Obtain grid energy data from grid energy management systems that include new energy sources; The contribution of each indicator in the indicator system is calculated based on the power grid energy data. The overall contribution of new energy sources is determined based on the contribution of each indicator. The indicator system includes the following indicators: power contribution, balance contribution, peak shaving contribution, and deviation contribution. The power contribution F DL This is used to measure the contribution of new energy power generation to meeting the grid load demand; 0 < F DL <1, the closer the value is to 0, the lower the contribution of new energy power generation; the closer the value is to 1, the higher the contribution of new energy power generation. The balance contribution F PH This is used to measure the impact of renewable energy generation output on grid balance during peak and off-peak periods, where 0 < F. PH <1, the closer the value is to 0, the smaller the effect of new energy on the grid balance during peak and off-peak periods; the closer the value is to 1, the greater the effect of new energy on the grid balance during peak and off-peak periods. The peak-shaving contribution F TF This is used to measure the impact of the fluctuation in renewable energy power generation output on the peak-valley difference of the power grid, -1 < F TF <1, the closer the value is to 0, the smaller the effect of new energy on the grid in smoothing the peak-valley difference; the closer the value is to 1, the greater the effect of new energy on the grid in smoothing the peak-valley difference; a negative value indicates that new energy has a negative effect on the grid's peak regulation, and a positive value indicates that new energy has a positive effect on the grid's peak regulation. The deviation contribution F PC This is used to measure the impact of the deviation between the predicted and actual power generation output of new energy sources on the power grid, where 0 < F. PC <1, the closer the value is to 0, the smaller the prediction deviation of new energy sources and the greater their contribution to grid regulation; the closer the value is to 1, the greater the prediction deviation of new energy sources and the smaller their contribution to grid regulation. The process of calculating the contribution of each indicator in the indicator system based on the power grid energy data includes: Calculate the contribution of electricity generation: F DL =J* F DLJ +F* F DLF +P* F DLP +G* F DLG； J represents the coefficient at the load peak, F DLJ Indicates the electrical contribution of the tip segment; F represents the coefficient during peak load periods. DLF This indicates the contribution of electricity generation during peak periods; P represents the coefficient during the load flat section, F DLP This indicates the electricity contribution rate during the flat section; G represents the coefficient during the load trough, F DLG This indicates the contribution of electricity generation during off-peak hours; J+F+P+G=1; The formula for calculating the electricity contribution of each segment is as follows: ； In the formula, F DL（JFPG） P represents the electricity contribution in each time period. xin（JFPG） P represents the amount of electricity generated by new energy sources in each time period. fd（JFPG） This represents the total amount of electricity generated in each time period; Calculate the balance contribution: ； In the formula, Lmax represents the peak load of the power grid, and Tmax represents the time when the peak load of the power grid Lmax is reached; In the peak period, if the actual output of new energy is greater than the predicted output and within 100%, its contribution coefficient is calculated as 1; in the peak period, if the actual output of new energy is greater than the predicted output, it is calculated as -1; in the valley period, positive deviation is calculated as -1 and negative deviation is calculated as 1; in the flat period, the contribution of the deviation is calculated according to the absolute value of the actual deviation. Calculate the contribution of the deviation: ； F PC (JFPG) represents the deviation contribution of each time period, and A represents the calculation coefficient in different time periods such as peak, flat, and valley. F PC The calculation coefficient A for (JFPG) values ​​at different times (peak, flat, and valley) is shown in the table below: The percentages in the table represent the percentage deviation of load resources during different peak, off-peak, and valley periods; ； P in the formula xin (J) represents the actual power generation output of new energy sources at the peak, P xc (J) represents the predicted output of new energy sources at the peak, P xin (F) represents the actual power generation output of new energy sources during peak hours, P xc (F) represents the predicted output of new energy sources during peak periods, P xin (P) represents the actual power generation output of new energy sources during the flat section, P xc (P) represents the predicted output of new energy sources during the flat section, P xin (G) represents the actual power output of new energy sources during the valley period, P xc (G) represents the predicted power output of new energy sources during the valley period; Calculate peak-shaving contribution: ； ； ； In the formula, V1 represents the peak-valley difference including load, V2 represents the peak-valley difference of conventional energy generation after deducting renewable energy generation, Lmin is the minimum peak load of the power grid, and L 2max L represents the maximum value of the conventional energy generation curve within the region. 2min This represents the minimum load for conventional energy in the region.

2. The method for calculating the contribution of new energy power generation output according to claim 1, characterized in that, The power grid energy data includes: The power grid load data L(t0,…,tN) at N points determines the time of the peak load Lmax as Tmax and the time of the minimum load Lmin as Tmin. N points indicate that the data of one day is divided into N collection points. Regional power transmission data Ps(t0,…,tN); Purchased electricity data Pr(t0,…,tN); Minimum output curve Pc(t0,…,tN) for conventional energy units; Actual power generation data of new energy sources Pxin (t0,…,tN); New energy power generation forecast data Pxc(t0,…,tN); The calculated power generation curve within the region: L'(t0,…,tN)=L(t0,…,tN)-Ps(t0,…,tN)+Pr(t0,…,tN); The calculated conventional energy generation curve for the region: L2(t0,…,tN)=L(t0,…,tN)-Ps(t0,…,tN)+Pr(t0,…,tN)-Pxc(t0,…,tN); The maximum value of the conventional energy power generation curve within the region is determined to be L. 2max The minimum load is L 2min ; Calculated available power generation space: P fd (t0,…,tN)=L’(t0,…,tN)- Pc(t0,…,tN)。 3. The method for calculating the contribution of new energy power generation output according to claim 1, characterized in that, The process of determining the overall contribution of new energy sources based on the contribution of each indicator includes: The overall contribution of new energy sources is calculated using the following formula: F xin =A1* F DL +A2* F PH +A3* F TF +A4* F PC； A1+A2+A3+A4=1; Among them, A1, A2, A3 and A4 represent the coefficients of electricity contribution, balance contribution, peak shaving contribution and deviation contribution, respectively.

4. A system for calculating the contribution of new energy power generation, characterized in that, include: The first acquisition module is used to acquire a pre-built indicator system for the contribution of new energy power generation output to grid dispatch; The second acquisition module is used to acquire grid energy data from the grid energy management system, which includes new energy sources; The calculation module is used to calculate the contribution of each indicator in the indicator system based on the power grid energy data. The determination module is used to determine the overall contribution of new energy sources based on the contribution of each indicator. The first acquisition module includes an indicator system construction module, used to construct an indicator system including the power contribution F. DL Balanced contribution F PH Peak-shaving contribution F TF Deviation contribution F PC The indicator system; The power contribution F DL This is used to measure the contribution of new energy power generation to meeting the grid load demand; 0 < F DL <1, the closer the value is to 0, the lower the contribution of new energy power generation; the closer the value is to 1, the higher the contribution of new energy power generation. The balance contribution F PH This is used to measure the impact of renewable energy generation output on grid balance during peak and off-peak periods, where 0 < F. PH <1, the closer the value is to 0, the smaller the effect of new energy on the grid balance during peak and off-peak periods; the closer the value is to 1, the greater the effect of new energy on the grid balance during peak and off-peak periods. The peak-shaving contribution F TF This is used to measure the impact of the fluctuation in renewable energy power generation output on the peak-valley difference of the power grid, -1 < F TF <1, the closer the value is to 0, the smaller the effect of new energy on the grid in smoothing the peak-valley difference; the closer the value is to 1, the greater the effect of new energy on the grid in smoothing the peak-valley difference; a negative value indicates that new energy has a negative effect on the grid's peak regulation, and a positive value indicates that new energy has a positive effect on the grid's peak regulation. The deviation contribution F PC This is used to measure the impact of the deviation between the predicted and actual power generation output of new energy sources on the power grid, where 0 < F. PC <1, the closer the value is to 0, the smaller the prediction deviation of new energy sources and the greater their contribution to grid regulation; the closer the value is to 1, the greater the prediction deviation of new energy sources and the smaller their contribution to grid regulation. The computing module includes: The power contribution calculation module is used to calculate the power contribution. F DL =J* F DLJ +F* F DLF +P* F DLP +G* F DLG； J represents the coefficient at the load peak, F DLJ Indicates the electrical contribution of the tip segment; F represents the coefficient during peak load periods. DLF This indicates the contribution of electricity generation during peak periods; P represents the coefficient during the load flat section, F DLP This indicates the electricity contribution rate during the flat section; G represents the coefficient during the load trough, F DLG This indicates the contribution of electricity generation during off-peak hours; J+F+P+G=1; The formula for calculating the electricity contribution of each segment is as follows: ； In the formula, F DL（JFPG） P represents the electricity contribution in each time period. xin（JFPG） P represents the amount of electricity generated by new energy sources in each time period. fd（JFPG） This represents the total amount of electricity generated in each time period; Calculate the balance contribution: ； In the formula, Lmax represents the peak load of the power grid, and Tmax represents the time when the peak load of the power grid Lmax is reached; In the peak period, if the actual output of new energy is greater than the predicted output and within 100%, its contribution coefficient is calculated as 1; in the peak period, if the actual output of new energy is greater than the predicted output, it is calculated as -1; in the valley period, positive deviation is calculated as -1 and negative deviation is calculated as 1; in the flat period, the contribution of the deviation is calculated according to the absolute value of the actual deviation. Calculate the contribution of the deviation: ； F PC (JFPG) represents the deviation contribution of each time period, and A represents the calculation coefficient in different time periods such as peak, flat, and valley. F PC The calculation coefficient A for (JFPG) values ​​at different times (peak, flat, and valley) is shown in the table below: The percentages in the table represent the percentage deviation of load resources during different peak, off-peak, and valley periods; ； P in the formula xin (J) represents the actual power generation output of new energy sources at the peak, P xc (J) represents the predicted output of new energy sources at the peak, P xin (F) represents the actual power generation output of new energy sources during peak hours, P xc (F) represents the predicted output of new energy sources during peak periods, P xin (P) represents the actual power generation output of new energy sources during the flat section, P xc (P) represents the predicted output of new energy sources during the flat section, P xin (G) represents the actual power output of new energy sources during the valley period, P xc (G) represents the predicted power output of new energy sources during the valley period; Calculate peak-shaving contribution: ； ； ； In the formula, V1 represents the peak-valley difference including load, V2 represents the peak-valley difference of conventional energy generation after deducting renewable energy generation, Lmin is the minimum peak load of the power grid, and L 2max L represents the maximum value of the conventional energy generation curve within the region. 2min This represents the minimum load for conventional energy in the region.

5. The new energy power generation output contribution calculation system according to claim 4, characterized in that, The second acquisition module includes: The new energy and load output data acquisition module is used to acquire... The power grid load data L(t0,…,tN) at N points determines the time of the peak load Lmax as Tmax and the time of the minimum load Lmin as Tmin. N points indicate that the data of one day is divided into N collection points. Regional power transmission data Ps(t0,…,tN); Purchased electricity data Pr(t0,…,tN); Minimum output curve Pc(t0,…,tN) for conventional energy units; Actual power generation data of new energy sources Pxin (t0,…,tN); New energy power generation forecast data Pxc(t0,…,tN); The regional power generation curve calculation module is used to calculate the regional power generation curve. L'(t0,…,tN)=L(t0,…,tN)-Ps(t0,…,tN)+Pr(t0,…,tN); The module for calculating the conventional energy generation curve within a region is used to calculate the conventional energy generation curve within that region. L2(t0,…,tN) = L(t0,…,tN) - Ps(t0,…,tN) + Pr(t0,…,tN) - Pxc(t0,…,tN), where L is the maximum value of the conventional energy power generation curve within the region. 2max The minimum load is L 2min ; Available power generation space calculation module, used to calculate available power generation space: P fd (t0,…,tN)=L’(t0,…,tN)- Pc(t0,…,tN)。 6. The new energy power generation output contribution calculation system according to claim 4, characterized in that, The determining module is used to calculate the comprehensive contribution of new energy sources using the following formula: F xin =A1* F DL +A2* F PH +A3* F TF +A4* F PC； A1+A2+A3+A4=1; Among them, A1, A2, A3 and A4 represent the coefficients of electricity contribution, balance contribution, peak shaving contribution and deviation contribution, respectively.

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