A method and system for coordinated optimization and regulation of a wind-solar-storage station group supporting a top peak

Abstract

The application provides a kind of wind and light storage station group cooperative optimization regulation method and system for supporting top peak, it is related to wind and light storage station optimization regulation technical field, determine the day-ahead estimated reported power of wind and light storage station group;According to day-ahead estimated reported power, generate day-ahead planning scheduling instruction, daily planning scheduling instruction and real-time planning scheduling instruction according to day-ahead planning scheduling instruction, generate day-ahead scheduling curve;According to day-ahead scheduling curve, revise daily planning scheduling instruction, obtain daily planning revision instruction;According to daily planning revision instruction, generate daily scheduling curve;According to daily scheduling curve, revise real-time planning scheduling instruction, obtain real-time planning revision instruction;According to real-time planning revision instruction, generate real-time scheduling curve, and then control multiple wind and light storage station group operation.The application optimizes and controls wind and light storage station group through three stages of day-ahead, daily and real-time, and can ensure reliable power supply for a certain length of time during load peak period.

Description

Technical Field

[0001] This invention relates to the field of wind, solar and energy storage station optimization and control technology, and in particular to a collaborative optimization and control method and system for wind, solar and energy storage station clusters that supports peak performance. Background Technology

[0002] In recent years, the shortage of fossil fuels, global warming, and pollution have become increasingly serious, making an energy revolution imperative. Actively promoting the development of clean energy is an effective way to optimize the energy structure. With the continuous decline in the cost per kilowatt-hour of new energy power plants such as wind and solar power, wind, solar, and energy storage power plants are rapidly developing on a large scale. However, there is currently a lack of mature experience in the construction and operation of large-scale wind, solar, and energy storage power plant clusters worldwide.

[0003] China's distributed renewable energy installed capacity continues to break new records. However, due to the significant randomness and fluctuation in the output of distributed renewable energy, which affects the safety and stability of the power grid, peak power supply and system peak shaving functions are still mostly supported by flexible conventional thermal power units. Traditional wind, solar, and energy storage power plants have simple operating modes and relatively limited application scenarios on the user side, generation side, and grid side. They lack coordinated control and system optimization modes for wind, solar, and energy storage, which seriously restricts the safe and efficient operation of the system and the grid integration and consumption of renewable energy. Moreover, the power supply remains tight during peak load periods, and the randomness of distributed renewable energy output limits its ability to support peak power supply and system peak shaving. Coordinating the operation of wind, solar, and energy storage systems is key to improving renewable energy consumption and supporting the safe and stable operation of the power grid.

[0004] Therefore, studying the peak operation mode and active power coordinated optimization and control of large-scale new energy wind, solar and energy storage power station clusters can achieve reliable power supply for a certain period of time during peak load periods, and provide technical support for large-scale new energy grid-friendly connection, safe and stable operation of new energy power station clusters and system security. This is an urgent problem to be solved. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for coordinated optimization and control of wind, solar and energy storage power plant clusters to support peak loads. This method can ensure a reliable power supply for a certain period of time during peak load periods, alleviate power supply pressure, and provide technical support for large-scale grid connection of new energy sources, safe and stable operation of new energy power plant clusters, and system security.

[0006] To achieve the above objectives, the present invention provides the following solution:

[0007] A method for coordinated optimization and control of wind-solar-reservoir clusters supporting peak performance includes:

[0008] The intelligent control center for the wind, solar and energy storage stations determines the expected power output of the wind, solar and energy storage stations for the day.

[0009] The power grid dispatch center generates daytime planned dispatch instructions, intraday planned dispatch instructions, and real-time planned dispatch instructions based on the reported daytime estimated power.

[0010] The intelligent control center of the station cluster generates a day-ahead scheduling curve based on the day-ahead scheduling instructions;

[0011] The power grid dispatch center corrects the intraday planned dispatch instruction based on the day-ahead dispatch curve to obtain the intraday planned correction instruction;

[0012] The intelligent control center of the station cluster generates an intraday scheduling curve based on the intraday plan correction instruction;

[0013] The power grid dispatch center corrects the real-time planned dispatch instruction based on the intraday dispatch curve to obtain a real-time planned correction instruction;

[0014] The intelligent control center of the station group generates a real-time scheduling curve based on the real-time plan correction instruction;

[0015] The intelligent control center of the station cluster controls the operation of multiple wind, solar and energy storage stations based on the real-time scheduling curve.

[0016] Optionally, the intelligent control center for the wind, solar, and energy storage cluster determines the day-ahead estimated power output of the cluster, specifically including:

[0017] Based on the preset peak demand, day-ahead wind power forecast, and day-ahead solar power forecast for each wind and solar power storage cluster, using formula P 1,n (t)=P agc,pk,da,n (t)-P w,da,n,pre (t)-P pv,da,n,pre (t) Determine the power generation demand during peak hours for each wind, solar, and energy storage cluster; where P 1,n (t), P agc,pk,da,n (t), P w,da,n,pre (t) and P pv,da,n,pre (t) represent the power generation demand, preset peak demand, day-ahead wind power forecast, and day-ahead solar power forecast of the nth wind-solar-storage station group at time t, respectively;

[0018] Based on the peak power demand of each wind, solar, and energy storage power station cluster, using the formula... Determine the total energy storage demand within a preset time period; where E es,ch Indicates the total energy storage demand; ε represents the depth of discharge parameter, and Δt represents the time granularity;

[0019] Based on the total energy storage demand, using the formula Determine the day-ahead projected energy storage capacity for each wind-solar-storage cluster; P es,da,n(t) represents the day-ahead estimated energy storage capacity of the nth wind-solar-storage cluster at time t; N1 represents the total number of charging periods; η d For energy storage discharge efficiency, η c To improve energy storage charging efficiency;

[0020] Based on the total energy storage demand and the day-ahead estimated energy storage power, determine the day-ahead estimated power to be reported by each wind, solar and energy storage station cluster before the peak period;

[0021] The preset peak demand for wind and solar power storage stations is determined as the expected daily reported power of each wind and solar power storage station group during the peak period;

[0022] The sum of the day-ahead wind power forecast and the day-ahead solar power forecast for the same wind and solar power storage cluster is determined as the day-ahead expected power reported by each wind and solar power storage cluster after the peak period.

[0023] Optionally, determining the day-ahead estimated power report for each wind-solar-storage cluster before the peak period based on the total energy storage demand and the day-ahead estimated energy storage power specifically includes:

[0024] Determine any wind-solar-storage storage station group as the current wind-solar-storage storage station group;

[0025] Define the current time as any point before the peak period;

[0026] The sum of the predicted daytime wind power and predicted daytime solar power of the current wind, solar and energy storage cluster is determined as the energy storage charging amount at the current moment.

[0027] Determine whether the energy storage charging capacity is greater than or equal to the day-ahead estimated energy storage power of the current wind, solar and energy storage cluster, and obtain the first determination result;

[0028] If the first judgment result is yes, then use formula P sub,da,n (t)=P w,da,n,pre (t)+P pv,da,n,pre (t)-P es,da,n (t)-ΔP es,da,n (t) Determine the day-ahead estimated power of the current wind, solar and energy storage cluster at the current moment; where ΔP es,da,n (t) represents the energy storage charging power of the nth wind-solar-storage cluster at time t; P t,w,p,da,n and P t,pv,p,da,n These are the day-ahead predicted wind power and photovoltaic power for the nth wind-solar-storage storage cluster at time t, respectively.

[0029] If the first judgment result is negative, then the sum of all energy storage charging amounts before the peak period is determined as the first comparison quantity.

[0030] Determine whether the first comparison quantity is greater than or equal to the total energy storage demand to obtain a second determination result;

[0031] If the second judgment result is yes, then use the formula Determine the day-ahead estimated power of the current wind, solar and energy storage cluster at the current moment; where ΔP sub,da,n (t+1) represents the energy storage charging power of the nth wind-solar-storage station group at time t;

[0032] If the second judgment result is negative, then use formula P. sub,da,n (t)=P w,da,n,pre (t)+P pv,da,n,pre (t)-P es,da,n (t) Determine the day-ahead estimated power of the current wind and solar power storage cluster at the current time.

[0033] Optionally, the intelligent control center of the station cluster generates a day-ahead scheduling curve based on the day-ahead scheduling instruction, specifically including:

[0034] Based on the aforementioned daily schedule instructions, using the formula Determine the day-ahead adjustment of the power curve of the power station group; where ΔP t,agc,da This represents the day-ahead adjustment of the power curve of the wind, solar and energy storage power station group; N represents the number of wind, solar and energy storage power station groups.

[0035] Using formula Calculate the second comparison quantity; A represents the second comparison quantity; E b Indicates energy storage capacity; γ represents energy storage lifetime coefficient; E t,es,da,n P represents the remaining electricity of the nth wind-solar-storage power station cluster at time t corresponding to the day-ahead command; t,es,0,da,n Indicates the day-ahead charging or discharging power of energy storage; n c Indicates charging efficiency;

[0036] Based on the day-ahead adjustment amount of the power curve of the power station group and the second comparison amount, the day-ahead energy storage power adjustment amount is determined; the day-ahead energy storage power adjustment amount includes the day-ahead charging power adjustment amount, the day-ahead discharging power adjustment amount, the day-ahead wind curtailment amount, and the day-ahead solar curtailment amount;

[0037] Based on the day-ahead charging power adjustment and day-ahead discharging power adjustment, using the formula... Determine the day-ahead energy storage power curve for each wind-solar-storage cluster; where P t,es,da,n P represents the day-ahead energy storage power curve of the nth wind-solar-storage cluster at time t; t,es,0,n This represents the initial power curve of the energy storage system. and This represents the discharge power adjustment and charging power adjustment at time t for the nth wind-solar-storage storage station group; u d u c Represents 0-1 variables for energy storage discharge and charging;

[0038] Based on the aforementioned day-ahead wind curtailment, using the formula... Determine the day-ahead wind power curve for each wind-solar-storage cluster; P t,w,da,n This represents the day-ahead wind power curve of the nth wind-solar-storage station cluster at time t; This represents the day-ahead wind curtailment at time t for the nth wind-solar-storage station cluster;

[0039] Based on the daytime abandoned light, using the formula Determine the day-ahead solar power curve for each wind-solar-storage cluster; P t,pv,da,n Represents the day-ahead solar power curve of the nth wind-solar-storage cluster at time t; This represents the day-ahead solar curtailment at time t for the nth wind-solar-storage cluster.

[0040] Based on the day-ahead energy storage power curve, day-ahead wind power curve, and day-ahead solar power curve of the same wind, solar, and energy storage cluster, using formula P t,da,n =P t,w,da,n +P t,pv,da,n +P t,es,da,n Determine the day-ahead power curves of the corresponding wind, solar, and energy storage clusters; P t,da,n This represents the day-ahead power curve of the nth wind-solar-storage power station cluster at time t.

[0041] Optionally, determining the energy storage power adjustment amount based on the day-ahead adjustment amount of the power curve of the power station group and the second comparison amount specifically includes:

[0042] The third judgment result is obtained by determining whether the day-ahead adjustment of the power curve of the power station group is greater than or equal to 0.

[0043] If the third judgment result is yes, then it is determined whether the day-ahead adjustment amount of the power curve of the power station group is less than or equal to the second comparison amount, and a fourth judgment result is obtained;

[0044] If the fourth judgment result is yes, then use the formula Determine the day-ahead charging power adjustment for each wind, solar and energy storage station cluster;

[0045] If the fourth judgment result is negative, then the formula is used. Determine the day-ahead wind curtailment, day-ahead solar curtailment, and day-ahead charging power adjustment for each wind-solar-storage station group;

[0046] If the third judgment result is negative, then it is determined whether the absolute value of the daytime adjustment of the power curve of the power station group is less than or equal to the second comparison value, and a fifth judgment result is obtained.

[0047] If the fifth judgment result is yes, then use the formula Determine the day-ahead discharge power adjustment for each wind, solar and energy storage station group;

[0048] If the fifth judgment result is negative, then the formula is used. Determine the day-ahead discharge power adjustment for each wind, solar and energy storage station group.

[0049] Optionally, the intelligent control center of the station cluster generates an intraday scheduling curve based on the intraday plan correction instruction, specifically including:

[0050] Based on the intraday plan correction instruction and the day-ahead power curve of the wind, solar and energy storage cluster, using the formula... Determine the intraday adjustment amount of the power curve of the power station group; where ΔP t,agc,ind,ini P represents the intraday adjustment amount of the power curve of the power station group. t,w,p,ind,n and P t,pv,p,ind,n C represents the intraday predicted wind power and intraday predicted photovoltaic power at time t for the nth wind-solar-storage power storage cluster; t,agc,ind Indicates a plan revision instruction for the day;

[0051] Based on the daily adjustment amount of the power curve of the power station group, the daily energy storage power adjustment amount is determined; the daily energy storage power adjustment amount includes the daily charging power adjustment amount, the daily discharging power adjustment amount, the daily wind curtailment amount, and the daily solar curtailment amount.

[0052] Based on the day-ahead power curve, day-ahead wind power curve, day-ahead solar power curve, intraday charging power adjustment, and intraday discharging power adjustment of the same wind, solar, and energy storage cluster, the formula is used... Determine the intraday energy storage power curve for each wind-solar-storage cluster; where P t,es,ind,n This represents the intraday energy storage power curve of the nth wind-solar-storage cluster at time t; and This represents the discharge power adjustment and charging power adjustment at time t for the nth wind-solar-storage station group;

[0053] Based on the intraday wind power forecast, intraday wind curtailment, and day-ahead wind curtailment of the same wind, solar, and energy storage cluster, the formula is used. Determine the intraday wind power curve for each wind-solar-storage cluster; P t,w,ind,n This represents the intraday wind power curve at time t for the nth wind-solar-storage station cluster; and These represent the daily wind curtailment volume and the daily wind curtailment reduction at time t for the nth wind-solar-storage station group, respectively.

[0054] Based on the intraday predicted photovoltaic power, intraday curtailment, and day-ahead curtailment of the same wind, solar, and energy storage cluster, the formula is used... Determine the intraday solar power curve for each wind-solar-storage cluster; P t,pv,ind,n This represents the intraday solar power curve of the nth wind-solar-storage cluster at time t; and These represent the daily curtailment of solar power and the daily reduction in curtailment at time t for the nth wind and solar storage cluster, respectively.

[0055] Based on the intraday energy storage power curve, intraday wind power curve, and intraday solar power curve of the same wind, solar, and energy storage cluster, using formula P t,ind,n =P t,w,ind,n +P t,pv,ind,n +P t,es,ind,n Determine the intraday power curves of the corresponding wind, solar, and energy storage clusters; P t,ind,n This represents the intraday power curve of the nth wind-solar-storage station cluster at time t.

[0056] Optionally, determining the intraday energy storage power adjustment amount based on the intraday adjustment amount of the power curve of the power station group specifically includes:

[0057] Using formula Determine the third comparison measure; where B represents the third comparison measure; E t,es,ind,n P represents the remaining electricity at time t corresponding to the intraday planned correction instruction for the nth wind-solar-storage storage cluster; t,es,da,n Daily energy storage charging or discharging power;

[0058] Determine whether the intraday adjustment amount of the power curve of the power station group is greater than or equal to 0, and obtain the sixth judgment result;

[0059] If the sixth judgment result is yes, then it is determined whether the daily adjustment amount of the power curve of the power station group is less than or equal to the third comparison amount, and the seventh judgment result is obtained;

[0060] If the result of the seventh judgment is yes, then use the formula. Determine the daily charging power adjustment amount for each wind, solar and energy storage station group;

[0061] If the result of the seventh judgment is negative, then use the formula. Determine the daily wind curtailment, daily solar curtailment, and daily charging power adjustment for each wind-solar-storage station cluster;

[0062] If the sixth judgment result is negative, then the sum of the daily wind curtailment and daily solar curtailment of all wind and solar storage stations in the intelligent control center of the station cluster is determined as the fourth comparison quantity.

[0063] Determine whether the fourth comparison quantity is less than or equal to the absolute value of the intraday adjustment amount of the power curve of the power station group, and obtain the eighth judgment result;

[0064] If the eighth judgment result is yes, then the formula is used. Determine the daily discharge power adjustment amount for each wind, solar and energy storage station group;

[0065] If the eighth judgment result is negative, then the formula is used. Determine the daily discharge power adjustment for each wind, solar and energy storage station group.

[0066] Optionally, the intelligent control center of the station cluster generates a real-time scheduling curve based on the real-time plan correction instruction, specifically including:

[0067] Based on the real-time plan correction command and the intraday power curve of the wind and solar power storage cluster, using the formula... Determine the real-time adjustment amount of the power curve of the power station group; where ΔP t,agc,rtd,ini This indicates the real-time adjustment amount of the power curve of the power station group, P. t,w,p,rtd,n and P t,pv,p,ind,n C represents the real-time predicted wind power and real-time predicted photovoltaic power at time t of the nth wind-solar-storage power storage cluster; t,agc,rtd This indicates a real-time plan correction instruction;

[0068] Based on the real-time adjustment amount of the power curve of the power station group, the real-time energy storage power adjustment amount is determined; the real-time energy storage power adjustment amount includes the real-time charging power adjustment amount, the real-time discharging power adjustment amount, the real-time wind curtailment amount, and the real-time solar curtailment amount.

[0069] Based on the intraday power curve, intraday wind power curve, intraday solar power curve, real-time charging power adjustment, and real-time discharging power adjustment of the same wind, solar, and energy storage cluster, the formula is used... Determine the real-time energy storage power curve for each wind-solar-storage cluster; where P t,es,rtd,n This represents the real-time energy storage power curve of the nth wind-solar-storage cluster at time t; and This represents the discharge power adjustment and charging power adjustment at time t for the nth wind-solar-storage station group;

[0070] Based on the real-time predicted wind power, real-time wind curtailment, and daily wind curtailment of the same wind, solar, and energy storage cluster, the formula is used... Determine the real-time wind power curve for each wind-solar-storage cluster; P t,w,rtd,n This represents the real-time wind power curve of the nth wind-solar-storage station cluster at time t; and These represent the real-time wind curtailment and the real-time reduction in wind curtailment at time t for the nth wind-solar-storage cluster, respectively.

[0071] Based on the real-time photovoltaic predicted power, real-time curtailment, and daily curtailment of the same wind, solar, and energy storage cluster, the formula is used... Determine the real-time optical power curve for each wind-solar-storage cluster; P t,pv,rtd,n This represents the real-time optical power curve of the nth wind-solar-storage station cluster at time t; and These represent the real-time curtailment amount and the real-time reduction in curtailment amount at time t for the nth wind and solar storage cluster, respectively.

[0072] Based on the real-time energy storage power curve, real-time wind power curve, and real-time solar power curve of the same wind-solar-storage cluster, using formula P t,rtd,n =P t,w,rtd,n +P t,pv,rtd,n +P t,es,rtd,n Determine the real-time power curves of the corresponding wind, solar, and energy storage clusters; P t,rtd,n This represents the real-time power curve of the nth wind-solar-storage station group at time t.

[0073] Optionally, determining the real-time energy storage power adjustment amount based on the real-time adjustment amount of the power curve of the power station group specifically includes:

[0074] Using formula Determine the fifth comparison measure; where C represents the fifth comparison measure; E t,es,rtd,n P represents the remaining power of the nth wind-solar-storage power station cluster at time t corresponding to the real-time plan correction instruction; t,es,ind,n Indicates the real-time energy storage charging or discharging power;

[0075] Determine whether the real-time adjustment amount of the power curve of the power station group is greater than or equal to 0, and obtain the ninth judgment result;

[0076] If the ninth judgment result is yes, then it is determined whether the real-time adjustment amount of the power curve of the power station group is less than or equal to the fifth comparison amount, and the tenth judgment result is obtained;

[0077] If the result of the tenth judgment is yes, then use the formula. Determine the real-time charging power adjustment for each wind and solar power storage station group;

[0078] If the result of the tenth judgment is negative, then use the formula. Determine the real-time wind curtailment, real-time solar curtailment, and real-time charging power adjustment for each wind and solar storage station cluster;

[0079] If the result of the ninth judgment is negative, then the sixth comparison quantity is determined;

[0080] The eleventh judgment result is obtained by determining whether the product of the real-time adjustment amount of the power curve of the power station group and the time granularity is less than or equal to the sixth comparison amount;

[0081] If the result of the eleventh judgment is yes, then use the formula Determine the real-time discharge power adjustment for each wind and solar power storage station group;

[0082] If the result of the eleventh judgment is negative, then the formula is used. Determine the real-time discharge power adjustment for each wind, solar and energy storage station group.

[0083] A collaborative optimization and control system for a wind-solar-reservoir cluster supporting peak performance includes:

[0084] The projected power reporting module is used to determine the projected power of the wind, solar and energy storage power station cluster using the intelligent control center of the station cluster.

[0085] The instruction generation module is used to enable the power grid dispatch center to generate daytime planned dispatch instructions, intraday planned dispatch instructions, and real-time planned dispatch instructions based on the daytime expected power report.

[0086] The day-ahead scheduling curve generation module is used to enable the intelligent control center of the station group to generate the day-ahead scheduling curve according to the day-ahead plan scheduling instruction;

[0087] The intraday plan correction instruction determination module is used to enable the power grid dispatch center to correct the intraday plan dispatch instruction based on the day-ahead dispatch curve, thereby obtaining the intraday plan correction instruction.

[0088] The intraday scheduling curve generation module is used to enable the intelligent control center of the station group to generate an intraday scheduling curve according to the intraday plan correction instruction.

[0089] The real-time plan correction instruction determination module is used to enable the power grid dispatch center to correct the real-time plan dispatch instruction according to the intraday dispatch curve, so as to obtain the real-time plan correction instruction.

[0090] The real-time scheduling curve generation module is used to enable the intelligent control center of the station group to generate a real-time scheduling curve according to the real-time plan correction instruction.

[0091] The control module enables the intelligent control center of the wind, solar and energy storage stations to control the operation of multiple wind, solar and energy storage stations according to the real-time scheduling curve.

[0092] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0093] This invention provides a method and system for coordinated optimization and control of wind, solar, and energy storage power station clusters to support peak loads. The method includes: a smart control center for the power station cluster determines the day-ahead estimated power report of the cluster; a power grid dispatch center generates day-ahead planned dispatch instructions, intraday planned dispatch instructions, and real-time planned dispatch instructions based on the day-ahead estimated power report; the smart control center generates a day-ahead dispatch curve based on the day-ahead planned dispatch instructions; the power grid dispatch center corrects the intraday planned dispatch instructions based on the day-ahead dispatch curve to obtain intraday planned correction instructions; the smart control center generates an intraday dispatch curve based on the intraday planned correction instructions; the power grid dispatch center corrects the real-time planned dispatch instructions based on the intraday dispatch curve to obtain real-time planned correction instructions; the smart control center generates a real-time dispatch curve based on the real-time planned correction instructions; and the smart control center controls the operation of multiple wind, solar, and energy storage power station clusters based on the real-time dispatch curves. This invention optimizes and regulates wind, solar and energy storage power plant clusters through three stages: day-ahead, intraday, and real-time. It can guarantee a reliable power supply for a certain period of time during peak load periods, alleviate power supply pressure, and thus provide technical support for large-scale grid connection of new energy sources, safe and stable operation of new energy power plant clusters, and system security. Attached Figure Description

[0094] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0095] Figure 1 This is a flowchart of the collaborative optimization and control method for wind-solar-storage station clusters that supports peak performance in an embodiment of the present invention;

[0096] Figure 2 A flowchart for the coordinated optimization and control of active power in a wind, solar and energy storage power station cluster to meet active power control needs. Detailed Implementation

[0097] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0098] The purpose of this invention is to provide a method and system for coordinated optimization and control of wind, solar and energy storage power plant clusters to support peak loads. This method can ensure a reliable power supply for a certain period of time during peak load periods, alleviate power supply pressure, and provide technical support for large-scale grid connection of new energy sources, safe and stable operation of new energy power plant clusters, and system security.

[0099] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0100] like Figure 1 This invention provides a method for coordinated optimization and control of wind-solar-storage station clusters to support peak performance, comprising:

[0101] Step 101: The intelligent control center of the wind, solar and energy storage station cluster determines the day-ahead estimated power of the wind, solar and energy storage station cluster;

[0102] Step 102: The power grid dispatch center generates daytime planned dispatch instructions, intraday planned dispatch instructions, and real-time planned dispatch instructions based on the daytime expected power report;

[0103] Step 103: The intelligent control center of the station cluster generates the day-ahead scheduling curve based on the day-ahead scheduling instructions;

[0104] Step 104: The power grid dispatch center modifies the intraday planned dispatch instructions based on the day-ahead dispatch curve to obtain the intraday planned modification instructions;

[0105] Step 105: The intelligent control center of the station cluster generates the daily scheduling curve based on the daily plan correction instructions;

[0106] Step 106: The power grid dispatch center modifies the real-time plan dispatching instructions based on the intraday dispatching curve to obtain the real-time plan modification instructions;

[0107] Step 107: The intelligent control center of the station cluster generates a real-time scheduling curve based on the real-time plan correction instructions;

[0108] Step 108: The intelligent control center of the wind, solar and energy storage stations controls the operation of multiple wind, solar and energy storage stations based on the real-time scheduling curve.

[0109] Step 101 specifically includes:

[0110] Based on the preset peak demand, day-ahead wind power forecast, and day-ahead solar power forecast for each wind and solar power storage cluster, using formula P 1,n (t)=P agc,pk,da,n (t)-P w,da,n,pre (t)-P pv,da,n,pre (t) Determine the power generation demand during peak hours for each wind, solar, and energy storage cluster; where P 1,n (t), P agc,pk,da,n(t), P w,da,n,pre (t) and P pv,da,n,pre (t) represent the power generation demand, preset peak demand, day-ahead wind power forecast, and day-ahead solar power forecast of the nth wind-solar-storage station group at time t, respectively;

[0111] Based on the peak power demand of each wind, solar, and energy storage power station cluster, using the formula... Determine the total energy storage demand within a preset time period; where E es,ch Indicates the total energy storage demand; ε represents the depth of discharge parameter, and Δt represents the time granularity;

[0112] Based on the total energy storage demand, using the formula Determine the day-ahead projected energy storage capacity for each wind-solar-storage cluster; P es,da,n (t) represents the day-ahead estimated energy storage capacity of the nth wind-solar-storage cluster at time t; N1 represents the total number of charging periods; η d For energy storage discharge efficiency, η c To improve energy storage charging efficiency;

[0113] Based on the total energy storage demand and the day-ahead estimated energy storage capacity, determine the day-ahead estimated power to be reported by each wind, solar and energy storage cluster before the peak period;

[0114] The preset peak demand for wind and solar power storage stations is determined as the expected daily reported power of each wind and solar power storage station group during the peak period;

[0115] The sum of the day-ahead wind power forecast and the day-ahead solar power forecast for the same wind and solar power storage cluster is determined as the day-ahead expected power reported by each wind and solar power storage cluster after the peak period.

[0116] Specifically, based on the total energy storage demand and the day-ahead estimated energy storage capacity, the day-ahead estimated power reported by each wind-solar-storage cluster before the peak period is determined, including:

[0117] Determine any wind-solar-storage storage station group as the current wind-solar-storage storage station group;

[0118] Define the current time as any point before the peak period;

[0119] The sum of the predicted daytime wind power and predicted daytime solar power of the current wind, solar and energy storage cluster is determined as the energy storage charging amount at the current moment.

[0120] Determine whether the energy storage charging capacity is greater than or equal to the day-ahead estimated energy storage power of the current wind, solar and energy storage cluster to obtain the first judgment result;

[0121] If the first judgment result is yes, then use formula P. sub,da,n (t)=P w,da,n,pre (t)+P pv,da,n,pre (t)-Pes,da,n (t)-ΔP es,da,n (t) Determine the day-ahead estimated power of the current wind, solar and energy storage cluster at the current moment; where ΔP es,da,n (t) represents the energy storage charging power of the nth wind-solar-storage cluster at time t; P t,w,p,da,n and P t,pv,p,da,n These are the day-ahead predicted wind power and photovoltaic power for the nth wind-solar-storage storage cluster at time t, respectively.

[0122] If the first judgment result is negative, then the sum of all energy storage charging amounts before the peak period is determined as the first comparison quantity.

[0123] Determine whether the first comparison quantity is greater than or equal to the total energy storage demand to obtain the second judgment result;

[0124] If the second judgment result is yes, then use the formula. Determine the day-ahead estimated power of the current wind, solar and energy storage cluster at the current moment; where ΔP sub,da,n (t+1) represents the energy storage charging power of the nth wind-solar-storage station group at time t;

[0125] If the second judgment result is negative, then use formula P. sub,da,n (t)=P w,da,n,pre (t)+P pv,da,n,pre (t)-P es,da,n (t) Determine the day-ahead estimated power of the current wind and solar power storage cluster at the current time.

[0126] Step 103 specifically includes:

[0127] According to the recent scheduling instructions, using the formula Determine the day-ahead adjustment of the power curve of the power station group; where ΔP t,agc,da This represents the day-ahead adjustment of the power curve of the wind, solar and energy storage power station group; N represents the number of wind, solar and energy storage power station groups.

[0128] Using formula Calculate the second comparison quantity; A represents the second comparison quantity; E b Indicates energy storage capacity; γ represents energy storage lifetime coefficient; E t,es,da,n P represents the remaining electricity of the nth wind-solar-storage power station cluster at time t corresponding to the day-ahead command; t,es,0,da,n Indicates the day-ahead charging or discharging power of energy storage; n c Indicates charging efficiency;

[0129] The daytime energy storage power adjustment is determined based on the daytime adjustment amount and the second comparison amount of the power curve of the power station group; the daytime energy storage power adjustment amount includes the daytime charging power adjustment amount, the daytime discharging power adjustment amount, the daytime wind curtailment amount, and the daytime solar curtailment amount.

[0130] Based on the day-ahead charging power adjustment and the day-ahead discharging power adjustment, using the formula Determine the day-ahead energy storage power curve for each wind-solar-storage cluster; where P t,es,da,n P represents the day-ahead energy storage power curve of the nth wind-solar-storage cluster at time t; t,es,0,n This represents the initial power curve of the energy storage system. and This represents the discharge power adjustment and charging power adjustment at time t for the nth wind-solar-storage storage station group; u d u c Represents 0-1 variables for energy storage discharge and charging;

[0131] Based on the current day's wind curtailment, using the formula Determine the day-ahead wind power curve for each wind-solar-storage cluster; P t,w,da,n This represents the day-ahead wind power curve of the nth wind-solar-storage station cluster at time t; This represents the day-ahead wind curtailment at time t for the nth wind-solar-storage station cluster;

[0132] Based on the daytime abandoned light, using the formula Determine the day-ahead solar power curve for each wind-solar-storage cluster; P t,pv,da,n Represents the day-ahead solar power curve of the nth wind-solar-storage cluster at time t; This represents the day-ahead solar curtailment at time t for the nth wind-solar-storage cluster.

[0133] Based on the day-ahead energy storage power curve, day-ahead wind power curve, and day-ahead solar power curve of the same wind, solar, and energy storage cluster, using formula P t,da,n =P t,w,da,n +P t,pv,da,n +P t,es,da,n Determine the day-ahead power curves of the corresponding wind, solar, and energy storage clusters; P t,da,n This represents the day-ahead power curve of the nth wind-solar-storage power station cluster at time t.

[0134] Specifically, the energy storage power adjustment is determined based on the day-ahead adjustment and the second comparison value of the power curve of the power station group, including:

[0135] The third judgment result is obtained by determining whether the day-ahead adjustment of the power curve of the power station group is greater than or equal to 0.

[0136] If the third judgment result is yes, then determine whether the day-ahead adjustment of the power curve of the power station group is less than or equal to the second comparison value, and obtain the fourth judgment result;

[0137] If the result of the fourth judgment is yes, then use the formula. Determine the day-ahead charging power adjustment for each wind, solar and energy storage station cluster;

[0138] If the fourth judgment result is negative, then use the formula. Determine the day-ahead wind curtailment, day-ahead solar curtailment, and day-ahead charging power adjustment for each wind-solar-storage station group;

[0139] If the third judgment result is negative, then the absolute value of the daytime adjustment of the power curve of the power station group is judged to be less than or equal to the second comparison value, and the fifth judgment result is obtained.

[0140] If the result of the fifth judgment is yes, then use the formula. Determine the day-ahead discharge power adjustment for each wind, solar and energy storage station group;

[0141] If the result of the fifth judgment is negative, then use the formula. Determine the day-ahead discharge power adjustment for each wind, solar and energy storage station group.

[0142] Step 105 specifically includes:

[0143] Based on the intraday planned adjustment instructions and the day-ahead power curves of the wind, solar, and energy storage clusters, using the formula... Determine the intraday adjustment amount of the power curve of the power station group; where ΔP t,agc,ind,ini P represents the intraday adjustment amount of the power curve of the power station group. t,w,p,ind,n and P t,pv,p,ind,n C represents the intraday predicted wind power and intraday predicted photovoltaic power at time t for the nth wind-solar-storage power storage cluster; t,agc,ind Indicates a plan revision instruction for the day;

[0144] Based on the daily adjustment amount of the power curve of the power station group, the daily energy storage power adjustment amount is determined; the daily energy storage power adjustment amount includes the daily charging power adjustment amount, the daily discharging power adjustment amount, the daily wind curtailment amount, and the daily solar curtailment amount.

[0145] Based on the day-ahead power curve, day-ahead wind power curve, day-ahead solar power curve, intraday charging power adjustment, and intraday discharging power adjustment of the same wind, solar, and energy storage cluster, the formula is used... Determine the intraday energy storage power curve for each wind-solar-storage cluster; where P t,es,ind,n This represents the intraday energy storage power curve of the nth wind-solar-storage cluster at time t; and This represents the discharge power adjustment and charging power adjustment at time t for the nth wind-solar-storage station group;

[0146] Based on the intraday wind power forecast, intraday wind curtailment, and day-ahead wind curtailment of the same wind, solar, and energy storage cluster, the formula is used. Determine the intraday wind power curve for each wind-solar-storage cluster; P t,w,ind,n This represents the intraday wind power curve at time t for the nth wind-solar-storage station cluster; and These represent the daily wind curtailment volume and the daily wind curtailment reduction at time t for the nth wind-solar-storage station group, respectively.

[0147] Based on the intraday predicted photovoltaic power, intraday curtailment, and day-ahead curtailment of the same wind, solar, and energy storage cluster, the formula is used... Determine the intraday solar power curve for each wind-solar-storage cluster; P t,pv,ind,n This represents the intraday solar power curve of the nth wind-solar-storage cluster at time t; and These represent the daily curtailment of solar power and the daily reduction in curtailment at time t for the nth wind and solar storage cluster, respectively.

[0148] Based on the intraday energy storage power curve, intraday wind power curve, and intraday solar power curve of the same wind, solar, and energy storage cluster, using formula P t,ind,n =P t,w,ind,n +P t,pv,ind,n +P t,es,ind,n Determine the intraday power curves of the corresponding wind, solar, and energy storage clusters; P t,ind,n This represents the intraday power curve of the nth wind-solar-storage station cluster at time t.

[0149] Specifically, the daily energy storage power adjustment is determined based on the daily adjustment amount of the power curve of the power station group, including:

[0150] Using formula Determine the third comparison measure; where B represents the third comparison measure; E t,es,ind,n P represents the remaining electricity at time t corresponding to the intraday planned correction instruction for the nth wind-solar-storage storage cluster; t,es,da,n Daily energy storage charging or discharging power;

[0151] The sixth judgment result is obtained by determining whether the intraday adjustment amount of the power curve of the power station group is greater than or equal to 0.

[0152] If the sixth judgment result is yes, then determine whether the daily adjustment amount of the power curve of the power station group is less than or equal to the third comparison amount, and obtain the seventh judgment result;

[0153] If the result of the seventh judgment is yes, then use the formula. Determine the daily charging power adjustment amount for each wind, solar and energy storage station group;

[0154] If the result of the seventh judgment is negative, then use the formula. Determine the daily wind curtailment, daily solar curtailment, and daily charging power adjustment for each wind-solar-storage station cluster;

[0155] If the result of the sixth judgment is negative, then the sum of the daily wind curtailment and daily solar curtailment of all wind and solar storage stations in the intelligent control center of the station cluster will be determined as the fourth comparison quantity.

[0156] Determine whether the fourth comparison quantity is less than or equal to the absolute value of the intraday adjustment quantity of the power curve of the power station group, and obtain the eighth judgment result;

[0157] If the result of the eighth judgment is yes, then use the formula. Determine the daily discharge power adjustment amount for each wind, solar and energy storage station group;

[0158] If the result of the eighth judgment is negative, then use the formula. Determine the daily discharge power adjustment for each wind, solar and energy storage station group.

[0159] Step 107 specifically includes:

[0160] Based on real-time planning correction instructions and the intraday power curves of the wind, solar, and energy storage clusters, the formula is used. Determine the real-time adjustment amount of the power curve of the power station group; where ΔP t,agc,rtd,ini This indicates the real-time adjustment amount of the power curve of the power station group, P. t,w,p,rtd,n and P t,pv,p,ind,n C represents the real-time predicted wind power and real-time predicted photovoltaic power at time t of the nth wind-solar-storage power storage cluster; t,agc,rtd This indicates a real-time plan correction instruction;

[0161] Based on the real-time adjustment of the power curve of the power station group, the real-time energy storage power adjustment is determined; the real-time energy storage power adjustment includes the real-time charging power adjustment, the real-time discharging power adjustment, the real-time wind curtailment, and the real-time solar curtailment.

[0162] Based on the intraday power curve, intraday wind power curve, intraday solar power curve, real-time charging power adjustment, and real-time discharging power adjustment of the same wind, solar, and energy storage cluster, the formula is used... Determine the real-time energy storage power curve for each wind-solar-storage cluster; where P t,es,rtd,n This represents the real-time energy storage power curve of the nth wind-solar-storage cluster at time t; and This represents the discharge power adjustment and charging power adjustment at time t for the nth wind-solar-storage station group;

[0163] Based on the real-time predicted wind power, real-time wind curtailment, and daily wind curtailment of the same wind, solar, and energy storage cluster, the formula is used... Determine the real-time wind power curve for each wind-solar-storage cluster; P t,w,rtd,n This represents the real-time wind power curve of the nth wind-solar-storage station cluster at time t; and These represent the real-time wind curtailment and the real-time reduction in wind curtailment at time t for the nth wind-solar-storage cluster, respectively.

[0164] Based on the real-time photovoltaic predicted power, real-time curtailment, and daily curtailment of the same wind, solar, and energy storage cluster, the formula is used... Determine the real-time optical power curve for each wind-solar-storage cluster; P t,pv,rtd,n This represents the real-time optical power curve of the nth wind-solar-storage station cluster at time t; and These represent the real-time curtailment amount and the real-time reduction in curtailment amount at time t for the nth wind and solar storage cluster, respectively.

[0165] Based on the real-time energy storage power curve, real-time wind power curve, and real-time solar power curve of the same wind-solar-storage cluster, using formula P t,rtd,n =P t,w,rtd,n +P t,pv,rtd,n +P t,es,rtd,n Determine the real-time power curves of the corresponding wind, solar, and energy storage clusters; P t,rtd,n This represents the real-time power curve of the nth wind-solar-storage station group at time t.

[0166] Specifically, the real-time energy storage power adjustment is determined based on the real-time adjustment of the power curve of the power station group, including:

[0167] Using formula Determine the fifth comparison measure; where C represents the fifth comparison measure; E t,es,rtd,n P represents the remaining power of the nth wind-solar-storage power station cluster at time t corresponding to the real-time plan correction instruction; t,es,ind,n Indicates the real-time energy storage charging or discharging power;

[0168] Determine whether the real-time adjustment of the power curve of the power station group is greater than or equal to 0, and obtain the ninth judgment result;

[0169] If the ninth judgment result is yes, then determine whether the real-time adjustment amount of the power curve of the power station group is less than or equal to the fifth comparison amount, and obtain the tenth judgment result;

[0170] If the result of the tenth judgment is yes, then use the formula. Determine the real-time charging power adjustment for each wind and solar power storage station group;

[0171] If the result of the tenth judgment is negative, then use the formula. Determine the real-time wind curtailment, real-time solar curtailment, and real-time charging power adjustment for each wind and solar storage station cluster;

[0172] If the result of the ninth judgment is negative, then the sixth comparison quantity is determined;

[0173] Determine whether the product of the real-time adjustment amount and the time granularity of the power curve of the power station group is less than or equal to the sixth comparison amount, and obtain the eleventh judgment result;

[0174] If the result of the eleventh judgment is yes, then use the formula. Determine the real-time discharge power adjustment for each wind and solar power storage station group;

[0175] If the result of the eleventh judgment is negative, then use the formula. Determine the real-time discharge power adjustment for each wind, solar and energy storage station group.

[0176] Peak power supply from wind, solar, and energy storage power plant clusters refers to ensuring a reliable power supply for a certain period during peak load periods, alleviating regional power supply pressure, and replacing the function of traditional thermal power sources in handling peak loads. This method designs an information interaction mode between the wind, solar, and energy storage power plant clusters and the power grid dispatching system under peak load conditions. Based on a strategy reporting method for wind, solar, and energy storage power plant clusters that ensure peak load support capabilities, peak power supply is guaranteed through a day-ahead, intraday, and real-time coordinated dispatching instruction optimization allocation method.

[0177] like Figure 2 The specific interaction process is as follows: Under the peak power supply dispatch mode, the active power coordinated control of the wind, solar, and energy storage cluster is carried out in three stages: "day-ahead, intraday, and real-time". In the day-ahead stage, the intelligent control center of the wind, solar, and energy storage cluster reports wind and solar forecast curves, rated capacity of energy storage, initial SOC, upper and lower limits of SOC, and peak power supply capacity of energy storage to the power grid dispatch center. The power grid dispatch center issues day-ahead plan instructions containing peak demand to the intelligent control center of the cluster as needed. Based on the power grid's day-ahead plan dispatch instructions, the intelligent control center simultaneously provides day-ahead dispatch plans for each wind, solar, and energy storage unit, as well as the SOC status of each time period corresponding to the day-ahead plan of energy storage, through the active power coordinated optimization control function. In the intraday stage, the power grid dispatch center issues revised intraday plan instructions as needed. The intelligent control center of the cluster receives the intraday dispatch instructions and simultaneously provides intraday dispatch plans for each wind, solar, and energy storage unit through the active power coordinated optimization control function. During the real-time phase, the power grid dispatch center issues revised real-time dispatch instructions based on the system's operating status. The power station cluster intelligent control center receives these instructions and, through its active power collaborative optimization and control function, generates real-time dispatch plans for each of the wind, solar, and energy storage units. These instructions are then distributed to the power station coordination controllers via the power station cluster central coordination controller. Ultimately, during peak hours, the combined power generation capabilities of wind, solar, and energy storage are utilized to support peak power supply.

[0178] Step 1: Reporting strategy for wind and solar storage station clusters under peak mode

[0179] In peak mode, the wind-solar-storage power station cluster provides peak service to the system by utilizing the remaining charging and discharging capacity of energy storage, while ensuring the maximum absorption of renewable energy by the power station itself. To guarantee peak power supply capacity, energy storage often needs to be charged in advance. The wind-solar-storage power station cluster needs to report the predicted output curve including the baseline charging and discharging power of energy storage and the peak capacity a day-ahead, and receive the peak demand returned by the dispatch (included in the day-ahead dispatch instructions), with a time granularity of 15 minutes. Each data curve contains 96 points, t∈[1,96]. P w,da,n,pre(t) represents the daytime wind power forecast value for station n#, P pv,da,n,pre (t) represents the predicted daytime optical power of station n#, P es,da,n (t) represents the day-ahead estimated energy storage capacity of power station n#, P sub,da,n (t) represents the day-ahead estimated power of station n#, t∈[1,96]. agc,pk,da,n (t) represents the preset peak demand of station n#.

[0180] 1. Peak mode reporting strategy

[0181] First, calculate the required power generation during peak hours:

[0182] P 1,n (t)=P agc,pk,da,n (t)-P w,da,n,pre (t)-P pv,da,n,pre (t) (1)

[0183] The amount of electricity required for energy storage is:

[0184]

[0185] In the formula, ε = 1.5 and Δt = 15min.

[0186] The energy storage is charged over the preceding N time periods, with the charging power evenly distributed across these N time periods (N=19, 0:00-19:00), as follows:

[0187]

[0188] In the formula, η d For energy storage discharge efficiency, η c To improve energy storage charging efficiency.

[0189] (1) Before the peak time period, t∈[1,T0)

[0190] 1) At that time, wind and solar power output can meet the energy storage and charging needs.

[0191] ①When P w,da,n,pre (t)+P pv,da,n,pre (t)≥P es,da,n When (t), the reported power including the energy storage charging plan is:

[0192] P sub,da,n (t)=P w,da,n,pre (t)+P pv,da,n,pre (t)-P es,da,n (t)-ΔP es,da,n (t) (4)

[0193] In the formula, ΔP es,da,n(1) = 0.

[0194] ②When P w,da,n,pre (t)+P pv,da,n,pre (t)<P es,da,n When (t),

[0195] If P w,da,n,pre (t)+P pv,da,n,pre If (t)≠0, then the reported power including the energy storage charging plan is:

[0196] P sub,da,n (t)=0 (5)

[0197] Among them, P w,da,n,pre (t)+P pv,da,n,pre (t) is for charging energy storage. The remaining charging capacity required for energy storage is transferred to the next time period. The energy storage charging power transferred to the next time period is:

[0198] ΔP sub,da,n (t+1)=P es,da,n (t)-P w,da,n,pre (t)-P pv,da,n,pre (t) (6)

[0199] 2) hour,

[0200] ①When P w,da,n,pre (t)+P pv,da,n,pre (t)≥P es,da,n When (t), the reported power including the energy storage charging plan is:

[0201] P sub,da,n (t)=P w,da,n,pre (t)+P pv,da,n,pre (t)-P es,da,n (t)-ΔP es,da,n (t) (7)

[0202] In the formula, ΔP es,da,n (1) = 0.

[0203] ②When P w,da,n,pre (t)+P pv,da,n,pre (t)<P es,da,n At time (t), the wind and solar power generation does not meet the required energy storage capacity. At this time, the reported value of the power station is negative, and the reported power including the energy storage charging plan is:

[0204] P sub,da,n (t)=P w,da,n,pre (t)+P pv,da,n,pre (t)-P es,da,n (t) (8)

[0205] Among them, Pw,da,n,pre (t)+P pv,da,n,pre (t) represents charging of the energy storage.

[0206] (2) If the peak time period t∈[T0,T1], then:

[0207] P sub,da,n (t)=P agc,pk,da,n (t) (9)

[0208] (3) After the peak period, t∈[T1,96], then:

[0209] P sub,da,n (t)=P w,da,n,pre (t)+P pv,da,n,pre (t) (10)

[0210] Step 2: Day-ahead scheduling instructions

[0211] Based on the day-ahead scheduling instructions, the central control center calculates the deviation between the scheduling instructions and the total predicted power of the wind and solar power plants. This deviation is then balanced by adjusting the energy storage charging and discharging power curves. In this scenario, the central control center proportionally allocates the power adjustment demand based on the energy storage state of charge at each plant, thus obtaining the day-ahead power curve for each plant's energy storage. When the energy storage charging capacity cannot meet the requirements, "wind and solar curtailment" measures are implemented. The central control center proportionally allocates the wind and solar power adjustment amount to each plant, ultimately obtaining the day-ahead power curve for each plant.

[0212] ① Adjustment amount ΔP of the power curve of the power station group t,agc,da

[0213]

[0214] In the formula, P t,w,p,da,n P t,pv,p,da,n These are the day-ahead predicted wind and solar power outputs for power station n#; C t,agc,da These are the day-ahead scheduling instructions. The day-ahead scheduling instructions are issued one day in advance, and there is only one such instruction. The time span is 24 hours, with one point every 15 minutes, for a total of 96 points.

[0215] ② Allocation strategy of regulating power for each station

[0216] a) when And ΔP t,agc,da When the value is ≥0, adjust the energy storage charging at each station and allocate the energy storage charging power adjustment amount proportionally. Where n c For charging efficiency.

[0217]

[0218] E t,es,da,n =(1-α)Et-1,es,da,n -u d P t,es,da,n Δt / η d +u c P t,es,da,n η c Δt

[0219] u d +u c ≤1 (13)

[0220] u d ,u c ∈{0,1}

[0221] In the formula, E t,es,da,n P represents the remaining energy storage capacity of power station n at time t corresponding to the day-ahead command. t,es,da,n For energy storage charging / discharging power, u d u c Represents 0-1 variables for energy storage discharge and charging.

[0222] b) When And ΔP t,agc,da When the value is ≥0, adjusting the energy storage of each station alone cannot meet the regulation requirements. Therefore, it is necessary to allocate the wind curtailment volume of each station proportionally based on this. Wasted light

[0223]

[0224] c) When And ΔP t,agc,da When n < 0, adjust the energy storage discharge of each station, and allocate the energy storage discharge power adjustment amount proportionally, where n d This refers to the discharge efficiency.

[0225]

[0226] d) When And ΔP t,agc,da When the energy storage discharge is less than 0, the energy storage discharge power adjustment at each station is adjusted proportionally. Here, ε is the discharge depth parameter; when the stored energy is below the limit, the energy storage discharge power is 0. At this time:

[0227]

[0228] Dead zone exists:

[0229]

[0230] ③Day-ahead energy storage power curves P of each station t,es,da,n

[0231]

[0232] In the formula, P t,es,0,n This is the initial power curve for energy storage.

[0233] ④ Daytime wind power curves P for each station t,w,da,n

[0234]

[0235] ⑤ Solar power curves P of each station before the day t,pv,da,n

[0236]

[0237] ⑥ Daytime power curves P of each station t,da,n

[0238] P t,da,n =P t,w,da,n +P t,pv,da,n +P t,es,da,n (twenty one)

[0239] Step 3: Intraday Rolling Scheduling Instructions

[0240] After the intraday rolling dispatch command is issued, the central control center first calculates the deviations between the intraday command and the day-ahead power curve of the power station group, the deviations between the intraday wind power forecast and the day-ahead wind power forecast, and the deviations between the intraday photovoltaic power forecast and the day-ahead photovoltaic power forecast. The sum of these three types of deviations is the power adjustment amount for 16 points of the power station group under that intraday command. Then, it is allocated to each power station to obtain the adjustment amount of the energy storage power curve of each power station. At the same time, based on the day-ahead energy storage power of each power station, the intraday energy storage power of each power station is obtained. When the energy storage charging capacity cannot meet the requirements, the "wind and solar curtailment" measure is adopted, and the central control center allocates the wind and solar power adjustment amount to each power station proportionally. In this way, the allocation strategy of the central control center is calculated for each of the 96 intraday commands, and finally the intraday power curve of each power station is obtained.

[0241] ① Adjustment amount of the power curve of the power station group

[0242]

[0243] In the formula, ΔP t,agc,ind,ini P is the initial intraday deviation value. t,w,p,ind,n P t,pv,p,ind,n These are the predicted daily wind and solar power outputs for station n#; C t,agc,ind These are daily rolling scheduling instructions, with each instruction issued every 15 minutes. Each instruction spans a 4-hour period, and each instruction contains one value every 15 minutes, meaning each instruction has 16 values. There are a total of 96 daily instructions.

[0244] like And ΔP t,agc,ind,ini When the value is less than 0, the deviation is met by reducing the daytime wind and solar curtailment, and the corrected deviation is ΔP. t,agc,ind =0, where These represent the initial day-ahead wind and solar curtailment amounts. Subtracting these amounts from the initial day-ahead curtailment amounts yields the corrected day-ahead wind and solar curtailment amounts obtained in the first step.

[0245]

[0246]

[0247] like And ΔP t,agc,ind,ini When the value is less than 0, the deviation cannot be fully satisfied by reducing the daytime wind and solar curtailment. The corrected deviation is: Based on this, reducing the amount of wind and solar curtailment yields the daytime wind and solar curtailment corrected in the first step:

[0248]

[0249] ② Allocation strategy of energy storage regulation power for each site

[0250] a) when And ΔP t,agc,ind When the value is ≥0, adjust the energy storage charging at each station and allocate the energy storage charging power adjustment amount proportionally.

[0251]

[0252] E t,es,ind,n,0 =(1-α)E t-1,es,ind,n -u d P t,es,ind,n,0 Δt / η d +u c P t,es,ind,n,0 η c Δt

[0253] u d +u c ≤1 (24)

[0254] u d ,u c ∈{0,1}

[0255] In the formula, E t,es,ind,n,0 P represents the remaining energy storage capacity of the n# power station before any cancellation at time t, corresponding to the intraday command. t,es,ind,n,0 This refers to the charge / discharge power of energy storage before it is discarded at time t, corresponding to the intraday command.

[0256] I.when And ΔP t,agc,ind When the value is ≥0, the day-ahead wind and solar power curtailment can be reduced significantly. The reduction in wind and solar power curtailment is as follows:

[0257]

[0258]

[0259] II. When And ΔP t,agc,ind When the value is ≥0, the daytime curtailment of wind and solar power is not completely reduced. At this time... The reduction in wind and solar power curtailment is as follows:

[0260]

[0261]

[0262] Therefore, we can conclude that:

[0263] E t,es,ind,n =(1-α)E t-1,es,ind,n -u d P t,es,ind,n Δt / η d +u c P t,es,ind,n η c Δt

[0264] u d +u c ≤1

[0265] u d ,u c ∈{0,1}

[0266] In the formula, E t,es,ind,n P represents the remaining energy storage capacity of the n# power station at time t corresponding to the intraday command. t,es,ind,n This represents the charging / discharging power of energy storage at time t corresponding to the intraday command.

[0267] b) When And ΔP t,agc,ind When the value is ≥0, adjusting the energy storage of each station alone cannot meet the regulation requirements. Therefore, it is necessary to allocate the wind curtailment volume of each station proportionally based on this. Wasted light

[0268]

[0269] c) When And ΔP t,agc,indWhen the value is less than 0, adjust the amount of wind and solar curtailment or energy storage discharge at each power station, and allocate the energy storage discharge power adjustment amount proportionally. Among them, ε is the discharge depth parameter. When the energy storage capacity is lower than the limit, the energy storage discharge power is 0.

[0270] I.when And ΔP t,agc,ind When <0, the amount of wind curtailment is reduced. Waste light reduction for:

[0271]

[0272]

[0273] II. When And ΔP t,agc,ind When the curtailment rate is less than 0, it is necessary to simultaneously reduce wind and solar curtailment as well as energy storage discharge. The amount of wind curtailment reduction is... Waste light reduction for:

[0274]

[0275]

[0276] II-1. If The energy storage discharge situation is as follows:

[0277]

[0278] II-2. If Adjusting the energy storage at each station alone cannot meet the regulation requirements, resulting in a dead zone. The energy storage discharge situation is as follows:

[0279]

[0280] Dead zone exists:

[0281]

[0282] ③ Daily power curves of energy storage at each site

[0283]

[0284] ④ Daily wind power curves for each station

[0285]

[0286] ⑤ Daily optical power curves for each station

[0287]

[0288] ⑥ Daily power curves of each station

[0289] P t,ind,n =P t,w,ind,n +P t,pv,ind,n +P t,es,ind,n (36)

[0290] Step 4: Real-time scheduling and control commands

[0291] The sum of the three types of deviations—the deviation between the real-time dispatch command and the daily power curve of the power station cluster, the deviation between the real-time dispatched wind power forecast and the daily wind power forecast, and the deviation between the real-time dispatched photovoltaic power forecast and the daily photovoltaic power forecast—represents the power adjustment amount of the power station cluster under that command. Based on the power allocation strategy, the adjustment amount of energy storage power for each power station can be obtained. Simultaneously, based on the daily energy storage power of each power station, the real-time dispatch power curve of energy storage for each power station is obtained. When the energy storage charging capacity cannot meet the requirements, "wind and solar curtailment" measures are adopted, and the central control center allocates the wind and solar power adjustment amounts to each power station proportionally. Finally, the real-time dispatch power curve of each power station is obtained.

[0292] ① Adjustment amount of the power curve of the power station group

[0293]

[0294] In the formula, P t,agc,rtd,ini P is the initial real-time deviation value. t,w,p,rtd,n P t,pv,p,rtd,n These are the real-time wind power and solar power forecasts for station n#, respectively; C t,agc,rtd These are real-time scheduling and control commands, issued every 5 minutes. Each command has a 5-minute time span and a value, meaning one command equals one value. There are a total of 288 real-time scheduling and control commands per day.

[0295] like And ΔP t,agc,rtc,ini When the value is less than 0, the deviation can be satisfied by reducing the daily amount of wind and solar power curtailment. The corrected deviation is ΔP. t,agc,rtc =0, where These represent the initial daily wind and solar curtailment amounts. Subtracting these amounts from the initial daily curtailment amounts yields the corrected daily wind and solar curtailment amounts obtained in the first step.

[0296]

[0297]

[0298] like And ΔP t,agc,rtc,ini When the value is less than 0, the deviation cannot be fully satisfied by reducing the daytime wind and solar curtailment. The corrected deviation is: Based on this, reduce the amount of wind and solar curtailment to obtain the day-ahead wind and solar curtailment amount corrected in the first step.

[0299] ② Allocation strategy of regulating power for each station

[0300] when And ΔP t,agc,rtd When the value is ≥0, adjust the energy storage charging of each station and allocate the energy storage charging power adjustment amount proportionally.

[0301]

[0302]

[0303] In the formula, E t,es,rtd,n,0 P represents the remaining energy storage capacity of the n# power station at time t before any energy loss or waste, corresponding to the real-time dispatch control command. t,es,rtd,n,0 The energy storage is the charge / discharge power before it is discarded at time t corresponding to the real-time command.

[0304] when And ΔP t,agc,rtd When the value is ≥0, the day-ahead wind and solar power curtailment can be reduced significantly. The reduction in wind and solar power curtailment is as follows:

[0305]

[0306]

[0307] when And ΔP t,agc,ind When the value is ≥0, the daytime curtailment of wind and solar power is not completely reduced. At this time... The reduction in wind and solar power curtailment is as follows:

[0308]

[0309]

[0310] Therefore, we can conclude that:

[0311] E t,es,rtd,n =(1-α)E t-1,es,rtd,n -u d P t,es,rtd,n Δt / η d +u c P t,es,rtd,n η c Δt

[0312] u d +u c≤1

[0313] u d ,u c ∈{0,1}

[0314] In the formula, E t,es,rtd,n P represents the remaining energy storage capacity of the n# power station at time t corresponding to the intraday command. t,es,rtd,n This represents the charging / discharging power of energy storage at time t corresponding to the intraday command.

[0315] when And ΔP t,agc,rtd When the value is ≥0, adjusting the energy storage of each station alone cannot meet the regulation requirements. Therefore, it is necessary to allocate the wind curtailment volume of each station proportionally based on this. Wasted light

[0316]

[0317] when And ΔP t,agc,da When the energy storage discharge is less than 0, the energy storage discharge power of each station is adjusted, and the energy storage discharge power adjustment amount is allocated proportionally. Among them, ε is the discharge depth parameter. When the energy storage capacity is lower than the limit, the energy storage discharge power is 0.

[0318] when At that time, the amount of wind and solar power curtailment decreased, as shown below:

[0319]

[0320]

[0321] when At that time, the amount of wind and solar curtailment decreases, and at the same time, energy storage discharges, resulting in a reduction in the amount of wind and solar curtailment:

[0322]

[0323]

[0324] like The energy storage discharge situation is as follows:

[0325]

[0326] like Adjusting the energy storage at each station alone cannot meet the regulation requirements, resulting in a dead zone. The energy storage discharge situation is as follows:

[0327]

[0328] Dead zone exists:

[0329]

[0330] ③ Real-time scheduling of energy storage power curves at each site

[0331]

[0332] ④ Real-time wind power curves at each station

[0333]

[0334] ⑤ Real-time scheduling optical power curves at each site

[0335]

[0336] ⑥ Real-time power curves of each station

[0337] P t,rtd,n =P t,w,rtd,n +P t,pv,rtd,n +P t,es,rtd,n (51)

[0338] Furthermore, this invention also provides a collaborative optimization and control system for wind-solar-storage station clusters that supports peak performance, comprising:

[0339] The projected power reporting module is used to determine the projected power of the wind, solar and energy storage power station cluster using the intelligent control center of the station cluster.

[0340] The instruction generation module enables the power grid dispatch center to generate daytime planned dispatch instructions, intraday planned dispatch instructions, and real-time planned dispatch instructions based on the daytime expected power report.

[0341] The day-ahead scheduling curve generation module is used to enable the intelligent control center of the station group to generate day-ahead scheduling curves based on the day-ahead plan scheduling instructions;

[0342] The intraday plan correction instruction determination module is used to enable the power grid dispatch center to correct the intraday plan dispatch instructions based on the day-ahead dispatch curve, and obtain the intraday plan correction instructions.

[0343] The intraday scheduling curve generation module is used to enable the intelligent control center of the station group to generate intraday scheduling curves based on intraday plan correction instructions.

[0344] The real-time plan correction instruction determination module is used to enable the power grid dispatch center to correct the real-time plan dispatch instructions based on the intraday dispatch curve, and obtain the real-time plan correction instructions.

[0345] The real-time scheduling curve generation module is used to enable the intelligent control center of the station group to generate real-time scheduling curves based on real-time plan correction instructions.

[0346] The control module enables the intelligent control center of the wind, solar and energy storage stations to control their operation based on real-time scheduling curves.

[0347] Currently, the coordinated regulation of large-scale wind, solar, and energy storage power plant clusters is mainly based on theoretical research, and most of these studies are geared towards specific regulation modes and needs. This invention, combined with actual grid dispatching scenarios and focusing on peak power supply operation modes and regulation requirements, clarifies the information interaction process between wind, solar, and energy storage power plant clusters and grid dispatching under peak mode. It proposes a strategy reporting method for wind, solar, and energy storage power plant clusters under peak mode, which ensures peak power supply capacity and alleviates power supply pressure during peak load periods in the region. The active power coordinated regulation method for wind, solar, and energy storage power plant clusters follows a control mode of "multi-level dispatching, progressive refinement, and multi-station coordination." It achieves progressive refinement of control commands across multiple time scales, from day-ahead to intraday to real-time, enabling real-time and precise control of each renewable energy power plant while reducing wind and solar curtailment, improving renewable energy absorption rates, and ensuring large-scale renewable energy grid-friendly integration.

[0348] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0349] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for coordinated optimization and control of wind-solar-storage station clusters to support peak performance, characterized in that, include: The intelligent control center for the wind, solar and energy storage stations determines the expected power output of the wind, solar and energy storage stations for the day. The intelligent control center for the wind, solar, and energy storage cluster determines the day-ahead estimated power output of the cluster, specifically including: Based on the preset peak demand, day-ahead wind power forecast, and day-ahead solar power forecast for each wind and solar power storage cluster, the formula is used... Determine the peak power generation demand for each wind, solar, and energy storage cluster; among which, , , and These represent the power generation demand, preset peak demand, day-ahead wind power forecast, and day-ahead solar power forecast for the nth wind-solar-storage power storage cluster at time t, respectively. Based on the peak power demand of each wind, solar, and energy storage power station cluster, using the formula... Determine the total energy storage demand within a preset time period; among which, This indicates the total energy storage demand; Indicates the depth of discharge parameter. Indicates time granularity; Based on the total energy storage demand, using the formula Determine the day-ahead estimated energy storage capacity for each wind, solar, and energy storage cluster; This represents the day-ahead estimated energy storage capacity of the nth wind-solar-storage cluster at time t; Indicates the total number of charging periods; For energy storage and discharge efficiency, To improve energy storage charging efficiency; Based on the total energy storage demand and the day-ahead estimated energy storage power, determine the day-ahead estimated power to be reported by each wind, solar and energy storage station cluster before the peak period; The preset peak demand for wind and solar power storage stations is determined as the expected daily reported power of each wind and solar power storage station group during the peak period; The sum of the day-ahead wind power forecast and the day-ahead solar power forecast for the same wind and solar power storage cluster is determined as the day-ahead expected reported power for each wind and solar power storage cluster after the peak period. The power grid dispatch center generates daytime planned dispatch instructions, intraday planned dispatch instructions, and real-time planned dispatch instructions based on the reported daytime estimated power. The intelligent control center of the power station cluster generates a day-ahead scheduling curve based on the day-ahead scheduling instructions. Based on these instructions, the control center calculates the deviation between the scheduling instructions and the total predicted wind and solar power of the power station cluster, and balances this deviation by adjusting the energy storage charging and discharging power curves. The control center allocates the power adjustment requirements based on the energy storage charge / discharge status of each power station according to the proportional distribution of the curve deviation, thus obtaining the day-ahead power curve for each power station. When the energy storage charging capacity cannot meet the requirements, wind and solar power curtailment measures are implemented, and the control center allocates the wind and solar power adjustment amount to each power station proportionally, ultimately obtaining the day-ahead scheduling curve for each power station. The power grid dispatch center corrects the intraday planned dispatch instruction based on the day-ahead dispatch curve to obtain the intraday planned correction instruction; The intelligent control center of the power station cluster generates an intraday dispatch curve based on the intraday plan correction instruction. After the intraday rolling dispatch instruction is issued, the control center calculates the deviation between the intraday instruction and the day-ahead power curve of the power station cluster, the deviation between the intraday wind power forecast power and the day-ahead wind power forecast power, and the deviation between the intraday photovoltaic power forecast power and the day-ahead photovoltaic power forecast power. The sum of these three deviations is the power adjustment amount for multiple points of the power station cluster under the intraday instruction. This is then allocated to each power station to obtain the adjustment amount of the energy storage power curve for each power station. Simultaneously, based on the day-ahead energy storage power of each power station, the intraday energy storage power of each power station is obtained. When the energy storage charging capacity cannot meet the requirements, wind and solar power curtailment measures are adopted, and the control center allocates the wind and solar power adjustment amount to each power station proportionally. The allocation strategy of the control center is calculated sequentially for multiple intraday instructions to finally obtain the intraday dispatch curve for each power station. The power grid dispatch center corrects the real-time planned dispatch instruction based on the intraday dispatch curve to obtain a real-time planned correction instruction; The intelligent control center of the power station cluster generates a real-time dispatch curve based on the real-time plan correction instruction. The sum of the deviations between the real-time dispatch instruction and the daily power curve of the power station cluster, the deviation between the real-time dispatched wind power prediction power and the daily wind power prediction power, and the deviation between the real-time dispatched photovoltaic power and the daily photovoltaic prediction power are the power adjustment amount of the power station cluster under the instruction. According to the power allocation strategy, the adjustment amount of energy storage power of each power station is obtained. At the same time, based on the daily energy storage power of each power station, the real-time dispatch curve of energy storage of each power station is obtained. When the energy storage charging capacity cannot meet the requirements, wind and solar curtailment measures are adopted. The control center allocates the wind and solar power adjustment amount of each power station proportionally to obtain the real-time dispatch curve of each power station. The intelligent control center of the station cluster controls the operation of multiple wind, solar and energy storage stations based on the real-time scheduling curve.

2. The method for coordinated optimization and control of wind-solar-storage station clusters supporting peak loads as described in claim 1, characterized in that, The step of determining the day-ahead estimated power report for each wind, solar, and energy storage cluster before the peak period based on the total energy storage demand and the day-ahead estimated energy storage power specifically includes: Determine any wind-solar-storage storage station group as the current wind-solar-storage storage station group; Define the current time as any point before the peak period; The sum of the predicted daytime wind power and predicted daytime solar power of the current wind, solar and energy storage cluster is determined as the energy storage charging amount at the current moment. Determine whether the energy storage charging capacity is greater than or equal to the day-ahead estimated energy storage power of the current wind, solar and energy storage cluster, and obtain the first determination result; If the first judgment result is yes, then use the formula Determine the day-ahead estimated power of the current wind, solar, and energy storage cluster at the current moment; among which, This represents the energy storage charging power of the nth wind-solar-storage cluster at time t; and These are the day-ahead predicted wind power and photovoltaic power for the nth wind-solar-storage storage cluster at time t, respectively. If the first judgment result is negative, then the sum of all energy storage charging amounts before the peak period is determined as the first comparison quantity. Determine whether the first comparison quantity is greater than or equal to the total energy storage demand to obtain a second determination result; If the second judgment result is yes, then use the formula Determine the day-ahead estimated power of the current wind, solar and energy storage cluster at the current moment; among which Let represent the energy storage charging power of the nth wind-solar-storage cluster at time t; If the second judgment result is negative, then use the formula Determine the day-ahead estimated power of the current wind, solar and energy storage cluster at the current moment.

3. The method for coordinated optimization and control of wind-solar-storage station clusters supporting peak loads as described in claim 2, characterized in that, The intelligent control center of the station cluster generates a daily scheduling curve based on the daily schedule scheduling instruction, specifically including: Based on the aforementioned daily schedule instructions, using the formula Determine the day-ahead adjustment amount of the power curve of the power station group; among which, This represents the day-ahead adjustment of the power curve of the wind, solar and energy storage power station group; N represents the number of wind, solar and energy storage power station groups. Using formula Calculate the second comparison quantity; A represents the second comparison quantity; Indicates energy storage capacity; Indicates the energy storage lifespan coefficient; This represents the remaining electricity of the nth wind, solar and energy storage cluster at time t corresponding to the day-ahead command; Indicates the current day's energy storage charging or discharging power; Indicates charging efficiency; Based on the day-ahead adjustment amount of the power curve of the power station group and the second comparison amount, the day-ahead energy storage power adjustment amount is determined; the day-ahead energy storage power adjustment amount includes the day-ahead charging power adjustment amount, the day-ahead discharging power adjustment amount, the day-ahead wind curtailment amount, and the day-ahead solar curtailment amount; Based on the day-ahead charging power adjustment and day-ahead discharging power adjustment, using the formula... Determine the day-ahead energy storage power curve for each wind-solar-storage cluster; among which, This represents the day-ahead energy storage power curve of the nth wind-solar-storage cluster at time t; This represents the initial power curve of the energy storage system. and This represents the discharge power adjustment and charging power adjustment at time t for the nth wind-solar-storage station group; , Represents 0-1 variables for energy storage discharge and charging; Based on the aforementioned day-ahead wind curtailment, using the formula... Determine the day-ahead wind power curve for each wind-solar-storage station cluster; This represents the day-ahead wind power curve of the nth wind-solar-storage station cluster at time t; This represents the day-ahead wind curtailment at time t for the nth wind-solar-storage station cluster; Based on the daytime abandoned light, using the formula Determine the day-ahead solar power curve for each wind-solar-storage cluster; Represents the day-ahead solar power curve of the nth wind-solar-storage cluster at time t; This represents the day-ahead solar curtailment at time t for the nth wind-solar-storage cluster. Based on the day-ahead energy storage power curve, day-ahead wind power curve, and day-ahead solar power curve of the same wind, solar, and energy storage cluster, using the formula... Determine the day-ahead power curves of the corresponding wind, solar and energy storage clusters; This represents the day-ahead power curve of the nth wind-solar-storage power station cluster at time t.

4. The method for coordinated optimization and control of wind-solar-storage station clusters supporting peak loads as described in claim 3, characterized in that, The step of determining the energy storage power adjustment amount based on the day-ahead adjustment amount of the power curve of the power station group and the second comparison amount specifically includes: The third judgment result is obtained by determining whether the day-ahead adjustment of the power curve of the power station group is greater than or equal to 0. If the third judgment result is yes, then it is determined whether the day-ahead adjustment amount of the power curve of the power station group is less than or equal to the second comparison amount, and a fourth judgment result is obtained; If the fourth judgment result is yes, then use the formula Determine the day-ahead charging power adjustment for each wind, solar and energy storage station cluster; If the fourth judgment result is negative, then the formula is used. Determine the day-ahead wind curtailment, day-ahead solar curtailment, and day-ahead charging power adjustment for each wind-solar-storage station group; If the third judgment result is negative, then it is determined whether the absolute value of the daytime adjustment of the power curve of the power station group is less than or equal to the second comparison value, and a fifth judgment result is obtained. If the fifth judgment result is yes, then use the formula Determine the day-ahead discharge power adjustment for each wind, solar and energy storage station group; If the fifth judgment result is negative, then the formula is used. Determine the day-ahead discharge power adjustment for each wind, solar and energy storage station group.

5. The method for coordinated optimization and control of wind-solar-storage station clusters supporting peak loads as described in claim 4, characterized in that, The intelligent control center of the station cluster generates an intraday scheduling curve based on the intraday plan correction instruction, specifically including: Based on the intraday plan correction instruction and the day-ahead power curve of the wind, solar and energy storage cluster, using the formula... Determine the intraday adjustment amount of the power curve of the power station group; among which, This indicates the intraday adjustment amount of the power curve of the power station group. and Let represent the intraday predicted wind power and intraday predicted photovoltaic power at time t for the nth wind-solar-storage station group, respectively; Indicates a plan revision instruction for the day; Based on the daily adjustment amount of the power curve of the power station group, the daily energy storage power adjustment amount is determined; the daily energy storage power adjustment amount includes the daily charging power adjustment amount, the daily discharging power adjustment amount, the daily wind curtailment amount, and the daily solar curtailment amount. Based on the day-ahead power curve, day-ahead wind power curve, day-ahead solar power curve, intraday charging power adjustment, and intraday discharging power adjustment of the same wind, solar, and energy storage cluster, the formula is used... Determine the intraday energy storage power curve for each wind-solar-storage cluster; among which, This represents the intraday energy storage power curve of the nth wind-solar-storage cluster at time t; and This represents the discharge power adjustment and charging power adjustment at time t for the nth wind-solar-storage station group; Based on the intraday wind power forecast, intraday wind curtailment, and day-ahead wind curtailment of the same wind, solar, and energy storage cluster, the formula is used. Determine the intraday wind power curve for each wind and solar power storage cluster; This represents the intraday wind power curve at time t for the nth wind-solar-storage station cluster; and These represent the daily wind curtailment volume and the daily wind curtailment reduction at time t for the nth wind-solar-storage station group, respectively. Based on the intraday predicted photovoltaic power, intraday curtailment, and day-ahead curtailment of the same wind, solar, and energy storage cluster, the formula is used... Determine the intraday solar power curve for each wind and solar storage cluster; This represents the intraday solar power curve of the nth wind-solar-storage station cluster at time t; and These represent the daily curtailment of solar power and the daily reduction in curtailment at time t for the nth wind and solar storage cluster, respectively. Based on the intraday energy storage power curve, intraday wind power curve, and intraday solar power curve of the same wind, solar, and energy storage cluster, using the formula... Determine the intraday power curve of the corresponding wind, solar and energy storage station cluster; This represents the intraday power curve of the nth wind-solar-storage station group at time t.

6. The method for coordinated optimization and control of wind-solar-storage station clusters supporting peak loads as described in claim 5, characterized in that, The step of determining the intraday energy storage power adjustment based on the intraday adjustment amount of the power curve of the power station group specifically includes: Using formula Determine the third comparison parameter; where B represents the third comparison parameter; This represents the remaining electricity at time t corresponding to the planned correction instruction within the day for the nth wind, solar and energy storage cluster; Daily energy storage charging or discharging power; Determine whether the intraday adjustment amount of the power curve of the power station group is greater than or equal to 0, and obtain the sixth judgment result; If the sixth judgment result is yes, then it is determined whether the daily adjustment amount of the power curve of the power station group is less than or equal to the third comparison amount, and the seventh judgment result is obtained; If the result of the seventh judgment is yes, then use the formula. Determine the daily charging power adjustment amount for each wind, solar and energy storage station group; If the result of the seventh judgment is negative, then use the formula. Determine the daily wind curtailment, daily solar curtailment, and daily charging power adjustment for each wind-solar-storage station cluster; If the sixth judgment result is negative, then the sum of the daily wind curtailment and daily solar curtailment of all wind and solar storage stations in the intelligent control center of the station cluster is determined as the fourth comparison quantity. Determine whether the fourth comparison quantity is less than or equal to the absolute value of the intraday adjustment amount of the power curve of the power station group, and obtain the eighth judgment result; If the eighth judgment result is yes, then the formula is used. Determine the daily discharge power adjustment amount for each wind, solar and energy storage station group; If the eighth judgment result is negative, then the formula is used. Determine the daily discharge power adjustment for each wind, solar and energy storage station group.

7. The method for coordinated optimization and control of wind-solar-storage station clusters supporting peak loads as described in claim 6, characterized in that, The intelligent control center for the station cluster generates a real-time scheduling curve based on the real-time plan correction instruction, specifically including: Based on the real-time plan correction command and the intraday power curve of the wind and solar power storage cluster, using the formula... Determine the real-time adjustment amount of the power curve of the power station group; among which, This indicates the real-time adjustment amount of the power curve of the power station group. and These represent the real-time predicted wind power and real-time predicted photovoltaic power at time t for the nth wind-solar-storage storage cluster, respectively. This indicates a real-time plan correction instruction; Based on the real-time adjustment amount of the power curve of the power station group, the real-time energy storage power adjustment amount is determined; the real-time energy storage power adjustment amount includes the real-time charging power adjustment amount, the real-time discharging power adjustment amount, the real-time wind curtailment amount, and the real-time solar curtailment amount. Based on the intraday power curve, intraday wind power curve, intraday solar power curve, real-time charging power adjustment, and real-time discharging power adjustment of the same wind, solar, and energy storage cluster, the formula is used... Determine the real-time energy storage power curve for each wind-solar-storage cluster; among which, This represents the real-time energy storage power curve of the nth wind-solar-storage cluster at time t; and This represents the discharge power adjustment and charging power adjustment at time t for the nth wind-solar-storage station group; Based on the real-time predicted wind power, real-time wind curtailment, and daily wind curtailment of the same wind, solar, and energy storage cluster, the formula is used... Determine the real-time wind power curve for each wind-solar-storage station group; This represents the real-time wind power curve of the nth wind-solar-storage station cluster at time t; and These represent the real-time wind curtailment and the real-time reduction in wind curtailment at time t for the nth wind-solar-storage cluster, respectively. Based on the real-time photovoltaic predicted power, real-time curtailment, and daily curtailment of the same wind, solar, and energy storage cluster, the formula is used... Determine the real-time optical power curve for each wind-solar-storage station cluster; This represents the real-time optical power curve of the nth wind-solar-storage station cluster at time t; and These represent the real-time curtailment amount and the real-time reduction in curtailment amount at time t for the nth wind and solar storage cluster, respectively. Based on the real-time energy storage power curve, real-time wind power curve, and real-time solar power curve of the same wind-solar-storage cluster, using the formula... Determine the real-time power curves of the corresponding wind, solar and energy storage station clusters; This represents the real-time power curve of the nth wind-solar-storage station group at time t.

8. The method for coordinated optimization and control of wind-solar-storage station clusters supporting peak loads as described in claim 7, characterized in that, The step of determining the real-time energy storage power adjustment amount based on the real-time adjustment amount of the power curve of the power station group specifically includes: Using formula Determine the fifth comparison parameter; where C represents the fifth comparison parameter; This represents the remaining power of the nth wind-solar-storage storage station cluster at time t corresponding to the real-time plan correction instruction; Indicates the real-time energy storage charging or discharging power; Determine whether the real-time adjustment amount of the power curve of the power station group is greater than or equal to 0, and obtain the ninth judgment result; If the ninth judgment result is yes, then it is determined whether the real-time adjustment amount of the power curve of the power station group is less than or equal to the fifth comparison amount, and the tenth judgment result is obtained; If the result of the tenth judgment is yes, then use the formula. Determine the real-time charging power adjustment for each wind and solar power storage station group; If the result of the tenth judgment is negative, then use the formula. Determine the real-time wind curtailment, real-time solar curtailment, and real-time charging power adjustment for each wind and solar storage station cluster; If the result of the ninth judgment is negative, then the sixth comparison quantity is determined; The eleventh judgment result is obtained by determining whether the product of the real-time adjustment amount of the power curve of the power station group and the time granularity is less than or equal to the sixth comparison amount; If the result of the eleventh judgment is yes, then use the formula Determine the real-time discharge power adjustment for each wind and solar power storage station group; If the result of the eleventh judgment is negative, then the formula is used. Determine the real-time discharge power adjustment for each wind, solar and energy storage station group.

9. A collaborative optimization and control system for wind-solar-storage station clusters supporting peak loads, characterized in that, include: The day-ahead power forecast module is used by the intelligent control center of the wind, solar and energy storage power storage cluster to determine the day-ahead forecast power of the cluster. Specifically, this includes: based on the preset peak demand, day-ahead wind power forecast, and day-ahead solar power forecast for each cluster, using the formula... Determine the peak power generation demand for each wind, solar, and energy storage cluster; among which, , , and Let represent the power generation demand, preset peak demand, day-ahead wind power forecast, and day-ahead solar power forecast for the nth wind-solar-storage storage cluster at time t, respectively; based on the power generation demand during the peak period of each wind-solar-storage storage cluster, the formula is used... Determine the total energy storage demand within a preset time period; among which, This indicates the total energy storage demand; Indicates the depth of discharge parameter. Indicates the time granularity; based on the total energy storage demand, using the formula... Determine the day-ahead estimated energy storage capacity for each wind, solar, and energy storage cluster; This represents the day-ahead estimated energy storage capacity of the nth wind-solar-storage cluster at time t; Indicates the total number of charging periods; For energy storage and discharge efficiency, To improve energy storage charging efficiency; based on the total energy storage demand and the day-ahead estimated energy storage power, determine the day-ahead estimated power of each wind-solar-storage storage station group before the peak period; determine the preset peak demand of the wind-solar-storage storage station group as the day-ahead estimated power of each wind-solar-storage storage station group during the peak period; determine the sum of the day-ahead predicted wind power and day-ahead predicted solar power of the same wind-solar-storage storage station group as the day-ahead estimated power of each wind-solar-storage storage station group after the peak period; The instruction generation module is used to enable the power grid dispatch center to generate daytime planned dispatch instructions, intraday planned dispatch instructions, and real-time planned dispatch instructions based on the daytime expected power report. The day-ahead dispatch curve generation module enables the intelligent control center of the power station cluster to generate day-ahead dispatch curves based on the day-ahead planned dispatch instructions. Based on these instructions, the control center calculates the deviation between the dispatch instructions and the total predicted wind and solar power of the power station cluster, and balances this deviation by adjusting the energy storage charging and discharging power curves. The control center allocates the power adjustment requirements based on the energy storage charge / discharge status of each power station according to the proportional distribution of curve deviations, thus obtaining the day-ahead power curve for each power station. When the energy storage charging capacity cannot meet the requirements, wind and solar power curtailment measures are implemented, and the control center allocates the wind and solar power adjustment amounts for each power station proportionally, ultimately obtaining the day-ahead dispatch curve for each power station. The intraday plan correction instruction determination module is used to enable the power grid dispatch center to correct the intraday plan dispatch instruction based on the day-ahead dispatch curve, thereby obtaining the intraday plan correction instruction. The intraday dispatch curve generation module is used to enable the intelligent control center of the power station group to generate intraday dispatch curves based on the intraday plan correction instructions. After the intraday rolling dispatch instruction is issued, the control center calculates the deviation between the intraday instruction and the day-ahead power curve of the power station group, the deviation between the intraday wind power forecast power and the day-ahead wind power forecast power of the power station group, and the deviation between the intraday photovoltaic power forecast power and the day-ahead photovoltaic power forecast power of the power station group. The sum of these three deviations is the power adjustment amount for multiple points of the power station group under the intraday instruction. This is then allocated to each power station to obtain the adjustment amount of the energy storage power curve for each power station. At the same time, based on the day-ahead energy storage power of each power station, the intraday energy storage power of each power station is obtained. When the energy storage charging capacity cannot meet the requirements, wind and solar power curtailment measures are adopted, and the control center allocates the wind and solar power adjustment amount to each power station proportionally. The allocation strategy of the control center is calculated sequentially for multiple intraday instructions to finally obtain the intraday dispatch curve for each power station. The real-time plan correction instruction determination module is used to enable the power grid dispatch center to correct the real-time plan dispatch instruction according to the intraday dispatch curve, so as to obtain the real-time plan correction instruction. The real-time dispatch curve generation module is used to enable the intelligent control center of the power station group to generate real-time dispatch curves according to the real-time plan correction instructions. The sum of the three types of deviations—the deviation between the real-time dispatch instructions and the daily power curve of the power station group, the deviation between the real-time dispatched wind power prediction power and the daily wind power prediction power, and the deviation between the real-time dispatched photovoltaic power and the daily photovoltaic prediction power—is the power adjustment amount of the power station group under the instruction. Based on the power allocation strategy, the adjustment amount of energy storage power for each power station is obtained. At the same time, based on the daily energy storage power of each power station, the real-time dispatch curve of energy storage for each power station is obtained. When the energy storage charging capacity cannot meet the requirements, wind and solar curtailment measures are adopted. The control center allocates the wind and solar power adjustment amount of each power station proportionally to obtain the real-time dispatch curve of each power station. The control module enables the intelligent control center of the wind, solar and energy storage stations to control the operation of multiple wind, solar and energy storage stations according to the real-time scheduling curve.

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