A method and system for evaluating peak load demand analysis of high-proportion new energy systems

Abstract

The present invention proposes a method for evaluating the peak-shaving demand analysis of a high-proportion new energy system, comprising the following steps: acquiring new energy system parameters, obtaining new energy system load characteristics and photovoltaic and wind power output data, and giving the new energy system standby rate and new energy power abandonment rate; counting the photovoltaic effective capacity coefficient and the wind power guaranteed output coefficient; calculating the equivalent maximum load and minimum load after superimposing the photovoltaic and wind power outputs, and then calculating the equivalent daily minimum load rate of the new energy system; calculating the net load power and the equivalent average load of the new energy system load power after deducting the photovoltaic and wind power power according to the new energy power abandonment rate; and then calculating the equivalent average load rate of the new energy system; the method can quantitatively calculate the equivalent daily minimum load rate and the equivalent daily average load of the new energy system, is suitable for evaluating the peak-shaving demand of a high-proportion new energy system, and also has certain reference significance for the construction scale of peak-shaving power sources, the selection of peak-shaving parameters and the evaluation of peak-shaving capacity.

Description

Technical Field

[0001] The present invention relates to the field of electric power new energy system planning and new energy power generation, and in particular to a method and system for evaluating peak load demand analysis of a high-proportion new energy system. Background Art

[0002] Traditional power and new energy systems are mainly based on conventional power sources such as thermal power and hydropower. The peak-shaving demand is mainly caused by load fluctuations. With the continuous increase in the penetration rate of new energy, the peak-shaving demand is also changing. The peak-shaving demand of high-proportion new energy systems is mainly to meet the demand for new energy consumption. The development space of thermal power is further compressed, and the supply of conventional power sources that meet the maximum power demand of new energy systems is becoming increasingly tight. Therefore, in the future, the power and new energy systems with new energy as the main body will face both upward and downward peak-shaving demands. Due to the volatility and randomness of new energy output, the traditional peak-shaving balance analysis method is no longer suitable. In view of the large number of new energy output scenarios, there has been an application of analyzing the peak-shaving demand of new energy systems based on 8760h production simulation, but the conclusion is not intuitive enough. At present, there is no mature method for calculating the peak-shaving demand of high-proportion new energy systems, which brings great challenges to planning and operation personnel in evaluating the peak-shaving demand of new energy systems. Summary of the invention

[0003] The purpose of the present invention is to propose a method and system for analyzing the peak-shaving demand of a high-proportion renewable energy system. The method can simply and quantitatively calculate the peak-shaving demand of a renewable energy system in combination with the actual dispatching operation. The method is suitable for evaluating the peak-shaving demand of a high-proportion renewable energy system, and also has certain reference significance for the construction scale of peak-shaving power sources, the selection of peak-shaving parameters and the evaluation of peak-shaving capacity.

[0004] To achieve the above object, the present invention adopts the following technical solution:

[0005] A method for evaluating peak load demand of a high-proportion new energy system comprises the following steps:

[0006] Obtain new energy system parameters, obtain new energy system load characteristics and photovoltaic and wind power output data, and give the new energy system reserve rate and new energy power abandonment rate; calculate the photovoltaic effective capacity coefficient and wind power guaranteed output coefficient;

[0007] According to the new energy system parameters, the new energy system reserve rate, the photovoltaic effective capacity coefficient and the wind power guaranteed output coefficient, the equivalent maximum load and minimum load after the photovoltaic and wind power output are superimposed are calculated, and then the equivalent daily minimum load rate of the new energy system is calculated; according to the new energy abandonment rate, the net load power and the equivalent average load of the new energy system load power after deducting the photovoltaic and wind power power are calculated; and then the equivalent average load rate of the new energy system is calculated;

[0008] The equivalent daily minimum load and equivalent daily average load of the new energy system, the equivalent minimum load rate and equivalent daily load rate after considering the output of photovoltaic and wind power are taken as the peak-shaving demand of the new energy system and output.

[0009] As a further improvement of the present invention, the method for calculating the equivalent maximum load and minimum load after superimposing the photovoltaic and wind power outputs is:

[0010] P lmax =P a +P b -P' wd =P a ×(1+a%)-P wd ×λ

[0011] P lmin =P2=P1-P pv ×δ-P wd ×λ

[0012] Where P a is the original maximum load of the new energy system, P b is the spare capacity of the new energy system, P1 is the load of the new energy system during the noon period, and P' wd To ensure the output of wind power, P wd is the installed capacity of wind power, P pv is the photovoltaic installed capacity, δ is the photovoltaic effective capacity coefficient (based on the annual 8760-h output data, that is, the photovoltaic power below this output coefficient accounts for 95% of the annual power generation), a% is the reserve rate of the given new energy system, and λ is the wind power guaranteed output coefficient (based on the annual 8760-h output data, 95% of the hours have wind power output per unit value above this coefficient).

[0013] As a further improvement of the present invention, the equivalent daily minimum load rate β of the new energy system is calculated. l The method is:

[0014] β l =P lmin / P lmax

[0015] Where P lmax is the equivalent maximum load, P lmin For minimum load.

[0016] As a further improvement of the present invention, the net load power Q' after deducting the photovoltaic and wind power from the load power of the new energy system is calculated. l and equivalent average load P' l The method is:

[0017] Q' l =Q1-(Q pv +Qwd )×(1-η)

[0018] P' l =Q' l / 365 / 24

[0019] In the formula, Q l is the original load power of the new energy system, Q pv , Q wd is the power generation of photovoltaic and wind power, and η is the power abandonment rate of new energy.

[0020] As a further improvement of the present invention, the equivalent average load rate γ of the new energy system is calculated l The method is:

[0021] γ l =P' l / (P a -P wd ×λ)

[0022] Where P l ' is the equivalent average load, P a is the original maximum load of the new energy system, P wd is the installed capacity of wind power, and λ is the guaranteed output coefficient of wind power.

[0023] As a further improvement of the present invention, the minimum output coefficient and the average output coefficient of each type of power source in the new energy system match the peak load demand of the new energy system.

[0024] As a further improvement of the present invention, the wind power output data selects wind power 8760h output data.

[0025] A peak load demand analysis system for evaluating a high-proportion new energy system, comprising:

[0026] The acquisition module is used to obtain the parameters of the new energy system, obtain the load characteristics of the new energy system and the output data of photovoltaic and wind power, and give the reserve rate and abandonment rate of the new energy system; calculate the effective capacity coefficient of photovoltaic and the guaranteed output coefficient of wind power;

[0027] The calculation module is used to calculate the equivalent maximum load and minimum load after the photovoltaic and wind power outputs are superimposed according to the new energy system parameters, the new energy system reserve rate, the photovoltaic effective capacity coefficient and the wind power guaranteed output coefficient, and then calculate the equivalent daily minimum load rate of the new energy system; calculate the net load power and equivalent average load of the new energy system load power after deducting the photovoltaic and wind power power according to the new energy abandonment rate; and then calculate the equivalent average load rate of the new energy system;

[0028] The output module is used to output the equivalent daily minimum load and equivalent daily average load of the new energy system, the equivalent minimum load rate and equivalent daily load rate after considering the output of photovoltaic and wind power as the peak-shaving demand of the new energy system.

[0029] A device for analyzing peak load demand of a high-proportion new energy system, comprising:

[0030] Memory,

[0031] processor,

[0032] The processor is configured to: execute the method for analyzing the peak-shaving demand of a system with a high proportion of new energy.

[0033] A computer-readable storage medium, characterized in that when the instructions in the storage medium are executed by a processor, the processor is enabled to execute the method for analyzing the peak-shaving demand of a system with a high proportion of new energy.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] The present invention proposes an evaluation method for evaluating the peak-shaving demand of a high-proportion new energy system, which comprehensively considers the new energy characteristic indicators (effective capacity coefficient, guaranteed output coefficient) and the consumption indicators (abandonment rate). In the planning stage, the peak-shaving demand of the new energy system can be preliminarily evaluated according to the scale of new energy development, which provides a reference for the construction planning of peak-shaving power sources, and can also be used as a basis for evaluating the regulation capabilities of various power sources. The calculation method is simple and intuitive. The method can quantitatively calculate the equivalent daily minimum load rate and equivalent daily average load of the new energy system, which is suitable for evaluating the peak-shaving demand of a high-proportion new energy system, and also has certain reference significance for the construction scale of peak-shaving power sources, the selection of peak-shaving parameters and the evaluation of peak-shaving capacity. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the calculation method;

[0037] Figure 2 is a calculation flow chart;

[0038] Figure 3 This is a schematic diagram of peak regulation demand under different photovoltaic scales of the new energy system;

[0039] Figure 4 This is a schematic diagram of a new energy system structure for evaluating the peak-shaving demand of a high-proportion new energy system according to the present invention;

[0040] Figure 5 The figure is a schematic diagram of the structure of an electronic device of the present invention. DETAILED DESCRIPTION

[0041] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0042] The present invention proposes a method for evaluating the peak load demand analysis of a high-proportion new energy system, comprising the following steps:

[0043] First, input the load characteristics of the new energy system and the 8760-hour output data of photovoltaic and wind power, give the reserve rate and new energy abandonment rate, and calculate the wind power guaranteed output coefficient and photovoltaic effective capacity coefficient;

[0044] Then, according to the new energy system parameters, the new energy system reserve rate, the photovoltaic effective capacity coefficient and the wind power guaranteed output coefficient, the equivalent maximum load and minimum load after the photovoltaic and wind power output are superimposed are calculated, and then the equivalent daily minimum load rate of the new energy system is calculated; according to the new energy abandonment rate, the net load power and the equivalent average load of the new energy system load power after deducting the photovoltaic and wind power power are calculated; and then the equivalent average load rate of the new energy system is calculated;

[0045] Finally, the equivalent daily minimum load and equivalent daily average load of the new energy system will be calculated, and the equivalent minimum load rate and equivalent daily load rate after considering the output of photovoltaic and wind power will be used as the peak-shaving demand of the new energy system. The minimum output coefficient and average output coefficient of various power sources should be matched with the peak-shaving demand of the above-mentioned new energy system as much as possible.

[0046] This method can quantitatively calculate the equivalent daily minimum load rate and equivalent daily average load of the new energy system. It is suitable for evaluating the peak-shaving demand of high-proportion new energy systems. It also has certain reference significance for the construction scale of peak-shaving power sources, the selection of peak-shaving parameters and the evaluation of peak-shaving capacity.

[0047] like Figure 2 As shown, a method for analyzing the peak load demand of a high-proportion new energy system of the present invention comprises the following steps:

[0048] Step 1: Input the parameters of the new energy system, read in the load characteristics of the new energy system and the output data of photovoltaic and wind power for 8760 hours, and give the reserve rate a% of the new energy system and the abandonment rate ρ of the new energy system;

[0049] Step 2: Calculate the photovoltaic effective capacity coefficient δ and the wind power guaranteed output coefficient λ;

[0050] Step 3: Calculate the equivalent maximum load P after superimposing photovoltaic and wind power output lmax and minimum load Plmin ,Right now

[0051] P lmax =P a +P b -P' wd =P a ×(1+a%)-P wd ×λ

[0052] P lmin =P2=P1-P pv ×δ-P wd ×λ

[0053] Where P a is the original maximum load of the new energy system, P b is the spare capacity of the new energy system, P1 is the load of the new energy system during the noon period, and P' wd To ensure the output of wind power, P wd is the installed capacity of wind power, P pv is the photovoltaic installed capacity, δ is the photovoltaic effective capacity coefficient (based on the annual 8760-h output data, that is, the photovoltaic power below this output coefficient accounts for 95% of the annual power generation), a% is the reserve rate of the given new energy system, and λ is the wind power guaranteed output coefficient (based on the annual 8760-h output data, 95% of the hours have wind power output per unit value above this coefficient).

[0054] This step is used to calculate the equivalent maximum load P of the new energy system. lmax When calculating the equivalent minimum load P of the new energy system, the guaranteed output of wind power is deducted from the maximum load. lmin At that time, the effective capacity of photovoltaic power and the guaranteed output of wind power were deducted from the load during the low period at noon.

[0055] Step 4: Calculate the equivalent daily minimum load rate β of the new energy system l , that is, β l =P lmin / P lmax ;

[0056] Step 5: Calculate the net load power Q' of the new energy system after deducting the photovoltaic and wind power (considering a certain proportion of abandoned power) l and equivalent average load P' l ,Right now

[0057] Q' l =Q1-(Q pv +Q wd )×(1-η)

[0058] P' l =Q' l / 365 / 24

[0059] In the formula, Q l is the original load power of the new energy system, Q pv , Q wd It is the electricity generated by photovoltaic and wind power.

[0060] When calculating the net load power Q of the new energy system l ', the photovoltaic and wind power generation that takes into account a certain proportion of power abandonment is deducted from the original load power of the new energy system.

[0061] Step 6: Calculate the equivalent average load rate γ of the new energy system l , that is, γ l =P' l / (P a -P wd ×λ).

[0062] In calculating the equivalent average load factor γ l When calculating the maximum load of the new energy system, the guaranteed output of wind power is deducted.

[0063] by Figure 1 The net load curve diagram of the new energy system is used to illustrate the lmax is the equivalent maximum load of the new energy system, P a is the original maximum load of the new energy system during the evening peak period, P b The guaranteed output of wind power in this period is equivalent to the base load power supply, which needs to be deducted from the original maximum load, while the guaranteed output of photovoltaic power in this period is zero. Therefore, the equivalent maximum load of the new energy system P lmax According to the original maximum load P a Considering a certain spare P b After that, minus the guaranteed wind power output P' wd Perform calculations.

[0064] P lmin , P2 is the equivalent minimum load of the new energy system, and P1 is the load of the new energy system during the noon period. During this period, the photovoltaic power output is the largest. According to the dispatching operation experience, photovoltaic power only generates electricity during the daytime. In order to ensure that the photovoltaic power abandonment rate is within a reasonable range, wind power is abandoned first during the photovoltaic power generation period during the day, and wind power is recovered during other periods, thereby ensuring that the power abandonment rate is also within a reasonable range. Therefore, the equivalent minimum load P of the new energy system lmin Subtract the effective photovoltaic capacity P' from the original minimum load P1 pv , minus the guaranteed output of wind power P' wd Perform calculations.

[0065] The present invention proposes an evaluation method for evaluating the peak-shaving demand of a high-proportion new energy system, which comprehensively considers new energy characteristic indicators (effective capacity coefficient, guaranteed output coefficient) and consumption indicators (power abandonment rate). In the planning stage, the peak-shaving demand of the new energy system can be preliminarily evaluated according to the scale of new energy development, which provides a reference for the construction planning of peak-shaving power sources, and can also be used as a basis for evaluating the regulation capabilities of various power sources. The calculation method is simple and intuitive, and it also has certain reference significance for the selection of main technical parameters of peak-shaving power sources.

[0066] The following is a specific description of the peak load demand analysis method for evaluating a high-proportion new energy system through a simulation case, so as to further illustrate the application effect of the present invention.

[0067] The new energy system in the calculation example is a provincial power grid in Northwest China. In 2030, the total electricity consumption of the province will reach 110 billion kWh, the maximum power generation load will be 15,500MW, the province will export 16,000MW of electricity, and the annual export will be about 80 billion kWh. The province has 34,000MW of photovoltaic installed capacity and 16,530MW of wind power installed capacity. The load reserve and accident reserve are 8%.

[0068] The calculation of the equivalent daily minimum load rate of the new energy system is shown in Table 1. According to statistics, the effective capacity coefficient of photovoltaic power in the province is about 0.6, and the guaranteed output coefficient of wind power is about 0.02. In 2030, the load of the province at noon is 15020MW, and the external load is 12000MW. According to the above method, the minimum load after deducting the effective capacity of photovoltaic power and the guaranteed output of wind power is 6290MW. After considering the 8% reserve demand (load reserve and accident reserve), the maximum load of the new energy system is about 28410MW. Therefore, the equivalent daily minimum load rate of the new energy system is about 0.22.

[0069] Table 1 Calculation of equivalent daily minimum load rate

[0070]

[0071]

[0072] The calculation of the equivalent daily average load rate of the new energy system is shown in Table 2. The results show that in 2030, the total electricity consumption of the province will be 190 billion kWh (including external transmission). Considering 5% of the abandoned electricity, after deducting the photovoltaic and wind power generation, the net load of the new energy system is about 103.5 billion kWh, the equivalent average load is about 11,810MW, and the equivalent daily average load rate of the new energy system is about 0.43.

[0073] Table 2 Calculation of equivalent daily average load rate

[0074] project Numeric 1. Electricity / 100 million kWh Power Consumption 1100 Power delivered 800 Photovoltaic power 551 Wind power 314 2. Calculation of average load rate (excluding wind and solar power) Net load electricity / 100 million kWh 1035 Equivalent average load / 10MW 1181 Equivalent daily average load factor γ 0.43

[0075] The results of the equivalent peak load demand parameters of the new energy system changing with the photovoltaic scale are shown in Table 3 and Figure 3The results show that as the PV scale increases from 34,000MW to 43,000MW, the equivalent daily minimum load rate β of the new energy system gradually decreases from 0.22 to 0.03, and the equivalent daily average load rate γ decreases from 0.43 to 0.37. The decrease in the equivalent minimum load rate of the new energy system is more significant.

[0076] Table 3 Relationship between equivalent peak load demand parameters of new energy system and photovoltaic scale

[0077] Photovoltaic scale / 10MW Equivalent daily minimum load factor β Equivalent daily average load factor γ 3400 0.22 0.43 3500 0.20 0.43 3600 0.18 0.42 3700 0.16 0.41 3800 0.14 0.41 3900 0.12 0.40 4000 0.09 0.39 4100 0.07 0.38 4200 0.05 0.38 4300 0.03 0.37

[0078] like Figure 4 As shown, the present invention also provides a system for evaluating peak load demand analysis of a high-proportion new energy system, comprising:

[0079] The acquisition module is used to obtain the parameters of the new energy system, obtain the load characteristics of the new energy system and the output data of photovoltaic and wind power, and give the reserve rate and abandonment rate of the new energy system; calculate the effective capacity coefficient of photovoltaic and the guaranteed output coefficient of wind power;

[0080] The calculation module is used to calculate the equivalent maximum load and minimum load after the photovoltaic and wind power outputs are superimposed according to the new energy system parameters, the new energy system reserve rate, the photovoltaic effective capacity coefficient and the wind power guaranteed output coefficient, and then calculate the equivalent daily minimum load rate of the new energy system; calculate the net load power and equivalent average load of the new energy system load power after deducting the photovoltaic and wind power power according to the new energy abandonment rate; and then calculate the equivalent average load rate of the new energy system;

[0081] The output module is used to output the equivalent daily minimum load and equivalent daily average load of the new energy system, the equivalent minimum load rate and equivalent daily load rate after considering the output of photovoltaic and wind power as the peak-shaving demand of the new energy system.

[0082] like Figure 5 As shown, another object of the present invention is to provide a device for evaluating the peak load demand analysis of a high-proportion new energy system, comprising:

[0083] Memory,

[0084] processor,

[0085] The processor is configured to: execute the method for analyzing the peak-shaving demand of a system with a high proportion of new energy.

[0086] The method for analyzing the peak load demand of a high-proportion new energy system includes the following steps:

[0087] Obtain new energy system parameters, obtain new energy system load characteristics and photovoltaic and wind power output data, and give the new energy system reserve rate and new energy power abandonment rate; calculate the photovoltaic effective capacity coefficient and wind power guaranteed output coefficient;

[0088] According to the new energy system parameters, the new energy system reserve rate, the photovoltaic effective capacity coefficient and the wind power guaranteed output coefficient, the equivalent maximum load and minimum load after the photovoltaic and wind power output are superimposed are calculated, and then the equivalent daily minimum load rate of the new energy system is calculated; according to the new energy abandonment rate, the net load power and the equivalent average load of the new energy system load power after deducting the photovoltaic and wind power power are calculated; and then the equivalent average load rate of the new energy system is calculated;

[0089] The equivalent daily minimum load and equivalent daily average load of the new energy system, the equivalent minimum load rate and equivalent daily load rate after considering the output of photovoltaic and wind power are taken as the peak-shaving demand of the new energy system and output.

[0090] The present invention also provides a computer-readable storage medium. When the instructions in the storage medium are executed by a processor, the processor is enabled to execute a method for analyzing the peak-shaving demand of a system with a high proportion of new energy.

[0091] The method for analyzing the peak load demand of a high-proportion new energy system includes the following steps:

[0092] Obtain new energy system parameters, obtain new energy system load characteristics and photovoltaic and wind power output data, and give the new energy system reserve rate and new energy power abandonment rate; calculate the photovoltaic effective capacity coefficient and wind power guaranteed output coefficient;

[0093] According to the new energy system parameters, the new energy system reserve rate, the photovoltaic effective capacity coefficient and the wind power guaranteed output coefficient, the equivalent maximum load and minimum load after the photovoltaic and wind power output are superimposed are calculated, and then the equivalent daily minimum load rate of the new energy system is calculated; according to the new energy abandonment rate, the net load power and the equivalent average load of the new energy system load power after deducting the photovoltaic and wind power power are calculated; and then the equivalent average load rate of the new energy system is calculated;

[0094] The equivalent daily minimum load and equivalent daily average load of the new energy system, the equivalent minimum load rate and equivalent daily load rate after considering the output of photovoltaic and wind power are taken as the peak-shaving demand of the new energy system and output.

[0095] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, new energy systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented 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.

[0096] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (new energy systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0097] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0098] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating the peak load demand analysis of a high-proportion new energy system, characterized in that: The following steps are involved: Obtain new energy system parameters, obtain new energy system load characteristics and photovoltaic and wind power output data, and give the new energy system reserve rate and new energy power abandonment rate; calculate the photovoltaic effective capacity coefficient and wind power guaranteed output coefficient; According to the new energy system parameters, the new energy system reserve rate, the photovoltaic effective capacity coefficient and the wind power guaranteed output coefficient, the equivalent maximum load and minimum load after the photovoltaic and wind power output are superimposed are calculated, and then the equivalent daily minimum load rate of the new energy system is calculated; according to the new energy abandonment rate, the net load power and the equivalent average load of the new energy system load power after deducting the photovoltaic and wind power power are calculated; and then the equivalent average load rate of the new energy system is calculated; The equivalent daily minimum load and equivalent daily average load of the new energy system, taking into account the equivalent minimum load rate and equivalent daily average load rate after photovoltaic and wind power output, are used as the peak-shaving demand of the new energy system and output; The method for calculating the equivalent maximum load and minimum load after superimposing photovoltaic and wind power output is: In the formula, is the original maximum load of the new energy system, It is the spare capacity of the new energy system. It is the load of the new energy system during the noon period. To ensure the output of wind power, is the installed capacity of wind power, is the photovoltaic installed capacity, is the photovoltaic effective capacity coefficient, For a given new energy system reserve rate, To ensure the output coefficient for wind power; Calculate the equivalent daily minimum load rate of the new energy system The method is: In the formula, is the equivalent maximum load, is the minimum load; Calculate the net load power of the new energy system after deducting the photovoltaic and wind power power and equivalent average load The method is: In the formula, is the original load power of the new energy system, , is the power generation of photovoltaic and wind power, The rate of electricity abandonment for renewable energy; Calculate the equivalent average load rate of the new energy system The method is: In the formula, is the equivalent average load, is the original maximum load of the new energy system, is the installed capacity of wind power, Guaranteed output coefficient for wind power .

2. The method for analyzing the peak load demand of a high-proportion new energy system according to claim 1 is characterized in that: The minimum output coefficient and average output coefficient of each type of power source in the new energy system match the peak load demand of the new energy system.

3. The method for analyzing the peak load demand of a high-proportion new energy system according to claim 1 is characterized in that: The wind power output data selects wind power output data for 8760 hours.

4. A system for analyzing the peak-shaving demand of a high-proportion new energy system, based on the method for analyzing the peak-shaving demand of a high-proportion new energy system according to any one of claims 1 to 3, characterized in that: include: The acquisition module is used to obtain the parameters of the new energy system, obtain the load characteristics of the new energy system and the photovoltaic and wind power output data, and give the new energy system reserve rate and new energy power abandonment rate; Calculate the photovoltaic effective capacity coefficient and wind power guaranteed output coefficient; The calculation module is used to calculate the equivalent maximum load and minimum load after the photovoltaic and wind power outputs are superimposed according to the new energy system parameters, the new energy system reserve rate, the photovoltaic effective capacity coefficient and the wind power guaranteed output coefficient, and then calculate the equivalent daily minimum load rate of the new energy system; calculate the net load power and equivalent average load of the new energy system load power after deducting the photovoltaic and wind power power according to the new energy abandonment rate; and then calculate the equivalent average load rate of the new energy system; The output module is used to output the equivalent daily minimum load and equivalent daily average load of the new energy system, the equivalent minimum load rate and equivalent daily average load rate after considering the output of photovoltaic and wind power as the peak-shaving demand of the new energy system.

5. A device for analyzing peak load demand of a high-proportion new energy system, characterized in that: include: Memory, processor, The processor is configured to: execute the method for analyzing the peak-shaving demand of a system with a high proportion of new energy according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: When the instructions in the storage medium are executed by a processor, the processor is enabled to execute the method for analyzing the peak-shaving demand of a system with a high proportion of new energy as described in any one of claims 1 to 3.

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