Coordinated operation simulation system for new energy power system

Abstract

The invention discloses a new energy power system coordinated operation simulation system, and relates to the technical field of new energy power dispatching simulation systems, and the system comprises a wind power calculation module which predicts and calculates the wind power integration capacity # imgabs0 # based on meteorological data; the photoelectric calculation module is used for predicting and calculating photoelectric grid-connected capacity # imgabs1 # based on the meteorological data; and the grid-connected optimization module is used for calculating an electric power system adjustment parameter and calculating a wind power and photoelectric grid-connected deviation parameter based on the wind power grid-connected capacity # imgabs2 # and the photoelectric grid-connected capacity # imgabs3 #. According to the method, the solar photovoltaic grid-connected capacity is finely calculated through the time period sequence and comprehensive consideration of the illumination intensity data corresponding to the time period sequence, the accuracy and reliability of solar photovoltaic grid-connected capacity calculation are remarkably improved, meanwhile, accurate calculation of wind power and photovoltaic power distribution is achieved, and reliable data support is provided for follow-up power system coordinated operation.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy power dispatch simulation systems, and in particular to a new energy power system coordinated operation simulation system. Background Art

[0002] New energy refers to various forms of energy other than traditional energy, such as solar energy, geothermal energy, wind energy, etc. my country has abundant reserves of wind and solar energy resources. The grid-connected operation of large-scale wind farms and photovoltaic power stations has become the general trend of development in the power industry. The significance of joint operation of power systems lies in achieving optimization of power grid resources and load balancing between countries and regions through coordinated operation, which can improve the power supply capacity and anti-interference ability of the power system, reduce power supply shortages and power supply risks. The dispatching principle of interactive optimization dispatching of joint operation of power systems is that new energy is given priority to access the grid, thermal power units operate stably with base load, and hydropower and high-energy loads coordinate to undertake regulation tasks.

[0003] For example, the authorization announcement number is CN117639114B, the authorization announcement date is 2024.04.02, and the name is "Optimization method, device, equipment and medium for coordinated configuration of wind and photovoltaic capacity of cascade hydropower", which models the uncertainty set of wind power and photovoltaic output, obtains typical scenarios through clustering of historical scenario data, takes the expectation method for the target, and constructs a mixed integer linear programming model for the joint optimization configuration of water, wind and photovoltaic complementarity under pumped storage transformation of cascade hydropower with objective function and constraints, and obtains the optimization configuration method to realize the complementary operation of cascade hydropower and wind power and photovoltaic. However, it is obvious that the output capacity of wind power and photovoltaic power changes all the time with the changes in natural weather, which is random and uncontrollable, so it is necessary Coordinated operation and dispatch of new energy power systems to ensure that the system can supply power safely and economically after the new energy is connected to the grid, especially when large-scale new energy or wind power and photovoltaic power with high uncertainty are connected to the grid. The grid connection of wind power and photovoltaic power will seriously affect the stability of electric power. The grid connection of wind power and photovoltaic power needs to increase the output of thermal power units during the trough period; the system output needs to be reduced during the peak period, affecting the safe and stable operation of the power system. At the same time, during the peak period, due to the low output of the unit and the limited capacity of the energy storage equipment, when the total output of the unit at the minimum output and the full load of the energy storage equipment is still higher than the load level, the system needs to abandon wind and solar power to ensure the stability of the electric power, which will also affect the economy of the power system. Summary of the invention

[0004] The purpose of the present invention is to provide a new energy power system coordinated operation simulation system to solve the above-mentioned deficiencies in the prior art.

[0005] In order to achieve the above object, the present invention provides the following technical solution: a new energy power system coordinated operation simulation system, comprising: A wind power calculation module, which calculates the wind power grid-connected capacity based on meteorological data prediction ; Photovoltaic calculation module, which calculates the photovoltaic grid-connected capacity based on meteorological data prediction ; A grid-connected optimization module, which calculates the power system regulation parameters and based on the wind power grid-connected capacity , Photovoltaic grid-connected capacity Calculate the deviation parameters of wind power and photovoltaic power grid connection; The wind power and photovoltaic grid-connected deviation parameters are constrained and adjusted through the power system regulation parameters to obtain the optimized wind power and photovoltaic grid-connected capacity.

[0006] As a further description of the above technical solution: the wind power calculation module calculates the wind power grid-connected capacity based on meteorological data prediction Specifically: Import meteorological data to obtain daily wind power period data , and wind energy density at each time period ; Calculate daily wind power grid-connected capacity , , where S is the rotor area, is the wind wheel efficiency coefficient.

[0007] As a further description of the above technical solution: the photovoltaic calculation module predicts and calculates the photovoltaic grid-connected capacity based on meteorological data Specifically: Import meteorological data and obtain solar and solar time period data , and the light intensity of the corresponding time period data ; Calculate the daily photovoltaic power generation , , where A is the efficiency coefficient of the photovoltaic module and m is the area of ​​the photovoltaic module.

[0008] As a further description of the above technical solution: the grid-connected optimization module obtains the power system adjustment parameters specifically as follows: Obtain the cascade hydropower input regulation capacity Pa1 and output regulation capacity Pb1, high energy load input regulation capacity Pa2 and output regulation capacity Pb2, and energy storage system input regulation capacity Pa3 and output regulation capacity Pb3 of the participating power system; Combined calculation is used to obtain the input regulation parameters PA of the power system, PA=Pa1+Pa2+Pa3, and the output regulation parameters PB of the power system, PB=Pb1+Pb2+Pb3.

[0009] As a further description of the above technical solution: Based on the wind power grid-connected capacity , Photovoltaic grid-connected capacity The specific calculation parameters for wind power and photovoltaic grid connection deviation are: Obtaining wind power grid-connected capacity deviation data by period series distribution calculation And photovoltaic grid-connected capacity deviation data ; Based on the wind power grid-connected capacity deviation data And photovoltaic grid-connected capacity deviation data Obtain the photovoltaic and wind power grid-connected capacity deviation coefficient; The deviation parameters of wind power and photovoltaic grid-connected capacity are calculated through the deviation coefficient.

[0010] As a further description of the above technical solution: the actual deviation data of wind power grid-connected capacity is obtained by calculating the time series: ,in for Predicted grid-connected wind power capacity during the period, , for Actual photovoltaic grid-connected capacity during the period; The specific data of photovoltaic grid-connected capacity deviation obtained by time period series calculation is: ,in for Predicted photovoltaic grid-connected capacity in each period, , for The actual grid-connected photovoltaic capacity during the period.

[0011] As a further description of the above technical solution: Based on the wind power grid-connected capacity deviation data Calculate the deviation coefficient. The deviation parameters of wind power grid-connected capacity are calculated by the deviation coefficient as follows: Calculate the wind power grid-connected capacity deviation coefficient: , the deviation parameter of wind power grid-connected capacity is calculated based on the wind power grid-connected capacity deviation coefficient: .

[0012] As a further description of the above technical solution: Based on the photovoltaic grid-connected capacity deviation data Obtain the deviation coefficient and calculate the photovoltaic grid-connected capacity deviation parameter through the deviation coefficient: Calculate the photovoltaic grid-connected capacity deviation coefficient: , the deviation parameter of photovoltaic grid-connected capacity is calculated based on the photovoltaic grid-connected capacity deviation coefficient: .

[0013] As a further description of the above technical solution: the backup constraint on the wind power photovoltaic grid-connected capacity deviation parameter based on the input adjustment parameter of the power system is specifically as follows: ; Then adjust the wind power grid connection capacity based on the reserve constraint , Photovoltaic grid-connected capacity Obtaining optimized wind power grid-connected capacity And photovoltaic optimization grid-connected capacity .

[0014] As a further description of the above technical solution: it also includes a scheduling operation module, which jointly decides the power generation capacity of thermal power units based on the comparison of wind power and photovoltaic power optimization grid-connected capacity based on power consumption plan information, and then integrates to obtain the power system simulation operation scheduling plan.

[0015] In the above technical solution, the present invention provides a new energy power system coordinated operation simulation system, which has the following beneficial effects: (1): It realizes accurate summation calculation based on time period sequence, and comprehensively considers the corresponding light intensity data of time period sequence to finely calculate the daily photovoltaic grid-connected capacity, significantly improving the accuracy and reliability of the calculation of daily photovoltaic grid-connected capacity. At the same time, it realizes accurate distribution calculation of wind power and photovoltaic power, providing reliability data support for the subsequent coordinated operation of the power system, and can effectively realize the fine operation simulation of the power system operation plan under the background of photovoltaic grid connection.

[0016] (2): Taking into account the characteristic that the wind power prediction accuracy gradually increases with the decrease of time scale, the predicted photovoltaic and wind power grid-connected capacity and the actual photovoltaic and wind power grid-connected capacity are compared based on time series combined with light intensity and wind energy density. The deviation parameters of wind power grid-connected capacity and photovoltaic grid-connected capacity are distributedly calculated, and the total deviation parameters of the new energy power system are integrated and calculated, which significantly improves the accuracy and reliability of simulation data and provides effective data support for the subsequent coordinated operation of the new energy power system.

[0017] (3): Calculate the total deviation parameters of the new energy power system, and finally adjust the wind power grid-connected capacity and photovoltaic grid-connected capacity according to the total deviation coefficient of the new energy power system, and combine the input regulation parameters and output regulation parameters of the new energy power system to obtain the optimized wind power grid-connected capacity and photovoltaic grid-connected capacity, so as to comprehensively consider the wind power and photovoltaic output fluctuations caused by the wind power and photovoltaic power abandonment costs and the penalty costs of forced load shedding, and accurately calculate the errors of wind power and photovoltaic power forecasts to control the risks of the new energy power system, comprehensively weigh the contradiction between economy and reliability, and obtain a compromise between the economy and reliability of the new energy power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0019] Figure 1 A schematic diagram of a new energy power system coordinated operation simulation system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0021] See also Figure 1 The embodiment of the present invention provides a technical solution: a new energy power system coordinated operation simulation system, which realizes the daily coordinated operation simulation of the power system under the new energy grid connection, including: a wind power calculation module, the wind power calculation module calculates the wind power grid connection capacity based on meteorological data prediction The wind power calculation module is used to import the target day meteorological data and extract the wind speed information from the target day meteorological data, and then obtain the time period information that meets the wind power requirements based on the cut-in wind speed and cut-out wind speed, and finally integrate and obtain the target day wind power time period data. And the wind speed information V corresponding to each time period data, optional, wind power time period data Integrate in hours and finally calculate the daily wind power grid-connected capacity ; Photovoltaic calculation module, which calculates the photovoltaic grid-connected capacity based on meteorological data prediction ; The photoelectric calculation module imports meteorological data and extracts the light intensity in the target day meteorological data Based on the light intensity Information calculation obtains photovoltaic time period data Tg. Optionally, photovoltaic time period data Tg is integrated in units of hours to finally calculate the daily photovoltaic grid-connected capacity. ; Grid-connected optimization module, the grid-connected optimization module calculates the power system adjustment parameters, where the power system adjustment parameters include the cascade hydropower elevators participating in the cable system, the cascade hydropower has good adjustability, and realizes the adjustment of photovoltaic and wind power deviations; high-load energy meets the requirements of switching in or out for adjustment when photovoltaic and wind power deviations occur, and the energy storage system, the energy storage system realizes energy storage or energy supply adjustment when photovoltaic and wind power deviations occur, and is based on the wind power grid-connected capacity , Photovoltaic grid-connected capacity Calculate the deviation parameters of wind power and photovoltaic power grid connection; The wind power calculation module and the photovoltaic calculation module are both connected to the grid-connected optimization module. The wind power calculation module calculates the daily wind power grid-connected capacity. Upload to the grid-connected optimization module, and the photovoltaic calculation module will predict and calculate the daily photovoltaic grid-connected capacity The data are uploaded to the grid-connected optimization module, which constrains and adjusts the wind power and photovoltaic grid-connected deviation parameters through the power system adjustment parameters to obtain the wind power and photovoltaic grid-connected optimized capacity.

[0022] In another embodiment provided by the present invention, the wind power calculation module calculates the wind power grid-connected capacity based on meteorological data prediction. Specifically: Import meteorological data to obtain daily wind power period data , and wind energy density at each time period ; Calculate daily wind power grid-connected capacity , , where S is the rotor area, is the wind wheel efficiency coefficient, wind energy density The calculation method is: ,in, is the air density, V is the wind speed, for example, the cut-in wind speed and cut-out wind speed on the target day obtain the time period information that meets the wind power requirements for a total of 14 hours. At this time, the daily wind power time period data The datasets include ( , , ,...... ), and daily wind power period data Each time period in the data set has a corresponding wind energy density ; That is, to achieve accurate summation calculation based on time series, and comprehensively consider the wind energy density data corresponding to the time series to finely calculate the daily wind power grid-connected capacity Compared with the traditional statistical analysis based on historical data, it significantly improves the grid-connected capacity of Japanese wind power. The accuracy and reliability of the calculation can provide reliability data support for the subsequent coordinated operation of the power system, and can effectively realize the refined operation simulation of the power system operation plan under the background of wind power grid connection.

[0023] In another embodiment of the present invention, the photovoltaic calculation module calculates the photovoltaic grid-connected capacity based on meteorological data prediction. Specifically: Import meteorological data and obtain solar and solar time period data , and the light intensity of the corresponding time period data ; Calculate the daily photovoltaic power generation , , where A is the efficiency coefficient of the photovoltaic module and m is the area of ​​the photovoltaic module. If the target day meets the light intensity requirement of photovoltaic power generation, the data of the solar photovoltaic time period is 8 hours. The datasets include ( , , ,... ), and the solar photoelectric time period data Each time period in the data set has a corresponding light intensity ; Realize accurate summation calculation based on time series, and comprehensively consider the corresponding light intensity data of time series to calculate the solar photovoltaic grid-connected capacity , significantly improving the solar photovoltaic grid-connected capacity The accuracy and reliability of the calculation can be improved, and the distributed precise calculation of wind power and optical terminals can be realized at the same time, providing reliability data support for the subsequent coordinated operation of the power system, and can effectively realize the refined operation simulation of the power system operation plan under the background of photovoltaic grid connection.

[0024] In another embodiment provided by the present invention, the grid-connected optimization module obtains the power system adjustment parameters specifically as follows: Obtain the cascade hydropower input regulation capacity Pa1 and output regulation capacity Pb1 of the participating power system, wherein the cascade hydropower input regulation capacity Pa1 is the compensation capacity of hydropower generation in the participating power system, the cascade hydropower output regulation capacity Pb1 is the consumption capacity of cascade hydropower pumped storage in the participating power system, the high energy load input regulation capacity Pa2 and the output regulation capacity Pb2, wherein the high energy load input regulation capacity Pa2 is the high energy load cut-out saving capacity in the participating power system, the output regulation capacity Pb2 is the high energy load cut-in consumption capacity in the participating power system, the input regulation capacity Pa3 and the output regulation capacity Pb3 of the energy storage system, the input regulation capacity Pa3 of the energy storage system is the power supply capacity of the energy storage system in the participating power system, the output regulation capacity Pb3 is the charging capacity of the energy storage system in the participating power system, and the combined calculation obtains the input regulation parameter PA of the power system, PA=Pa1+Pa2+Pa3, and the output regulation parameter PB of the power system, PB=Pb1+Pb2+Pb3. Through combined calculation, the deviation input regulation parameters and output regulation parameters of the power system are obtained under the constraints of no wind abandonment, no solar abandonment and forced load shedding.

[0025] In another embodiment provided by the present invention, it should be noted that due to the change and uncertainty of wind power and photovoltaic output, the new energy power system must maintain a very high system adjustment resource for backup, which reduces the utilization rate of system resources. The new energy power system will not be able to cope with the change and uncertainty of wind power and photovoltaic output, affecting the safe and reliable operation of the new energy power system. , Photovoltaic grid-connected capacity The specific calculation of wind power and photovoltaic grid connection deviation parameters is as follows: Obtain wind power grid connection capacity deviation data by time period series distribution calculation And photovoltaic grid-connected capacity deviation data ; and based on the wind power grid capacity deviation data And photovoltaic grid-connected capacity deviation data Obtain the deviation coefficient of photovoltaic and wind power grid-connected capacity; calculate the deviation parameter of wind power photovoltaic grid-connected capacity through the deviation coefficient. Calculate the daily wind power grid-connected capacity by accurately summing up the time series and comprehensively considering the wind energy density data corresponding to the time series. And comprehensively consider the time period sequence corresponding to the full degree data to finely calculate the daily photovoltaic grid-connected capacity Then, the photovoltaic and wind power grid-connected capacity deviation coefficients are calculated respectively, and the wind and photovoltaic grid-connected capacity deviation parameters are calculated through the deviation coefficients, providing data support for the changes in wind power and photovoltaic output, so that the new energy power system can access the system to adjust resources for backup according to actual needs, thereby improving the utilization rate of system resources.

[0026] In another embodiment provided by the present invention, the wind power grid-connected capacity deviation data is obtained by calculating the time period sequence as follows: in for Predicted grid-connected wind power capacity during the period, , for Actual photovoltaic grid-connected capacity during the period; The specific data of photovoltaic grid-connected capacity deviation obtained by time period series calculation is: ,in for Predicted photovoltaic grid-connected capacity in each period, , for The actual grid-connected photovoltaic capacity during the period.

[0027] Based on wind power grid-connected capacity deviation data Calculate the deviation coefficient. The deviation parameters of wind power grid-connected capacity are calculated by the deviation coefficient as follows: Calculate the wind power grid-connected capacity deviation coefficient: , the deviation parameter of wind power grid-connected capacity is calculated based on the wind power grid-connected capacity deviation coefficient: .

[0028] Based on the photovoltaic grid-connected capacity deviation data Obtain the deviation coefficient and calculate the photovoltaic grid-connected capacity deviation parameter through the deviation coefficient: Calculate the photovoltaic grid-connected capacity deviation coefficient: , the deviation parameter of photovoltaic grid-connected capacity is calculated based on the photovoltaic grid-connected capacity deviation coefficient: .

[0029] By taking advantage of the fact that the wind power prediction accuracy gradually increases with the decrease of the time scale, the deviation parameters of the wind power grid-connected capacity and the photovoltaic grid-connected capacity are distributedly calculated based on the time series combined with light intensity and wind energy density to compare the actual predicted photovoltaic and wind power grid-connected capacities with the actual photovoltaic and wind power grid-connected capacities. The total deviation parameters of the new energy power system are calculated, which significantly improves the accuracy and reliability of the simulation data and provides effective data support for the subsequent coordinated operation of the new energy power system.

[0030] The specific backup constraints on the deviation parameters of wind power and photovoltaic grid-connected capacity based on the input regulation parameters of the power system are as follows: ; Then adjust the wind power grid connection capacity based on the reserve constraint , Photovoltaic grid-connected capacity Obtaining optimized wind power grid-connected capacity And photovoltaic optimization grid-connected capacity .

[0031] In another embodiment provided by the present invention, it also includes a dispatching operation module, which compares the wind power and photovoltaic power grid-connected capacity based on the power consumption plan information to jointly decide the power generation capacity of the thermal power unit, and then integrates to obtain the power system simulation operation dispatching plan. The standard deviation of the deviation data of the wind power and photovoltaic grid-connected capacity is calculated through the time characteristic distribution, and then the deviation coefficient of the wind power grid-connected capacity and the photovoltaic grid-connected capacity is obtained based on the deviation data, and then the deviation parameters of the predicted wind power grid-connected capacity and the deviation parameters of the photovoltaic grid-connected capacity are calculated based on the deviation coefficient according to the predicted wind power and photovoltaic grid-connected capacity, so as to calculate the total deviation parameters of the new energy power system, and finally the wind power grid-connected capacity is constrained and adjusted by combining the input adjustment parameters and the output adjustment parameters of the new energy power system according to the total deviation coefficient of the new energy power system. , Photovoltaic grid-connected capacity Obtaining optimized wind power grid-connected capacity And photovoltaic optimization grid-connected capacity In order to comprehensively consider the costs of wind and solar abandonment caused by fluctuations in wind power and photovoltaic output, as well as the penalty costs of forced load shedding, the errors in wind power and photovoltaic forecasts can be accurately calculated to control the risks of new energy power systems, comprehensively weigh the contradiction between economy and reliability, and obtain a compromise between the economy and reliability of new energy power system operations.

[0032] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A new energy power system coordinated operation simulation system, characterized in that: include: A wind power calculation module, which calculates the wind power grid-connected capacity based on meteorological data prediction ; Photovoltaic calculation module, which calculates the photovoltaic grid-connected capacity based on meteorological data prediction ; A grid-connected optimization module, which calculates the power system regulation parameters and based on the wind power grid-connected capacity , Photovoltaic grid-connected capacity Calculate the deviation parameters of wind power and photovoltaic power grid connection; The wind power and photovoltaic grid-connected deviation parameters are constrained and adjusted through the power system regulation parameters to obtain the optimized wind power and photovoltaic grid-connected capacity.

2. A new energy power system coordinated operation simulation system according to claim 1, characterized in that: The wind power calculation module predicts and calculates the wind power grid-connected capacity based on meteorological data Specifically: Import meteorological data to obtain daily wind power period data , and wind energy density at each time period ; Calculate daily wind power grid-connected capacity , , where S is the rotor area, is the wind wheel efficiency coefficient.

3. A new energy power system coordinated operation simulation system according to claim 1, characterized in that: The photovoltaic calculation module predicts and calculates the photovoltaic grid-connected capacity based on meteorological data Specifically: Import meteorological data and obtain solar and solar time period data , and the light intensity of the corresponding time period data ; Calculate the daily photovoltaic power generation , , where A is the efficiency coefficient of the photovoltaic module and m is the area of ​​the photovoltaic module.

4. A new energy power system coordinated operation simulation system according to claim 1, characterized in that: The grid-connected optimization module obtains the power system adjustment parameters specifically as follows: Obtain the cascade hydropower input regulation capacity Pa1 and output regulation capacity Pb1, high energy load input regulation capacity Pa2 and output regulation capacity Pb2, and energy storage system input regulation capacity Pa3 and output regulation capacity Pb3 of the participating power system; Combined calculation is used to obtain the input regulation parameters PA of the power system, PA=Pa1+Pa2+Pa3, and the output regulation parameters PB of the power system, PB=Pb1+Pb2+Pb3.

5. A new energy power system coordinated operation simulation system according to claim 4, characterized in that: Based on wind power grid-connected capacity , Photovoltaic grid-connected capacity The specific calculation parameters for wind power and photovoltaic grid connection deviation are: Obtaining wind power grid-connected capacity deviation data by period series distribution calculation And photovoltaic grid-connected capacity deviation data ; Based on the wind power grid-connected capacity deviation data And photovoltaic grid-connected capacity deviation data Obtain the photovoltaic and wind power grid-connected capacity deviation coefficient; The deviation parameters of wind power and photovoltaic grid-connected capacity are calculated through the deviation coefficient.

6. A new energy power system coordinated operation simulation system according to claim 5, characterized in that: The actual deviation data of wind power grid-connected capacity is obtained by calculating the time series: ,in for Predicted grid-connected wind power capacity during the period, , for Actual photovoltaic grid-connected capacity during the time period; The specific data of photovoltaic grid-connected capacity deviation obtained by time period series calculation is: ,in for Predicted photovoltaic grid-connected capacity in each period, , for The actual grid-connected photovoltaic capacity during the period.

7. A new energy power system coordinated operation simulation system according to claim 6, characterized in that: Based on wind power grid-connected capacity deviation data Calculate the deviation coefficient. The deviation parameters of wind power grid-connected capacity are calculated by the deviation coefficient as follows: Calculate the wind power grid-connected capacity deviation coefficient: , the deviation parameter of wind power grid-connected capacity is calculated based on the wind power grid-connected capacity deviation coefficient: .

8. A new energy power system coordinated operation simulation system according to claim 7, characterized in that: Based on the photovoltaic grid-connected capacity deviation data Obtain the deviation coefficient and calculate the photovoltaic grid-connected capacity deviation parameter through the deviation coefficient: Calculate the photovoltaic grid-connected capacity deviation coefficient: , the deviation parameter of photovoltaic grid-connected capacity is calculated based on the photovoltaic grid-connected capacity deviation coefficient: .

9. A new energy power system coordinated operation simulation system according to claim 7, characterized in that: The specific backup constraints on the deviation parameters of wind power and photovoltaic grid-connected capacity based on the input regulation parameters of the power system are as follows: ； Then adjust the wind power grid connection capacity based on the reserve constraint , Photovoltaic grid-connected capacity Obtaining optimized wind power grid-connected capacity And photovoltaic optimization grid-connected capacity .

10. A new energy power system coordinated operation simulation system according to claim 9, characterized in that: It also includes a dispatching and operation module, which makes a joint decision on the power generation capacity of thermal power units based on the comparison of wind power and photovoltaic power optimization grid-connected capacity based on power consumption plan information, and then integrates and obtains a simulated operation dispatching plan for the power system.

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