A method, device, equipment and storage medium for determining declared power of a new energy station

Abstract

The present invention discloses a method, device, equipment and storage medium for determining the declared power of a new energy station. It includes: obtaining first information of a new energy station and second information of a target area corresponding to the new energy station, wherein the first information includes: day-ahead electricity price forecast data, real-time electricity price forecast data, balancing costs per unit power, and predicted power on the operation day, and the second information includes: base electricity price and new energy decomposition base ratio; adjusting the predicted power on the operation day to form the first power according to the first information and the second information; determining the declared power on the operation day of the new energy station according to the first power and / or the actual maximum power of the new energy station. It solves the problem of large errors in manually determining the declared power, can improve the accuracy of the declared power of the station, and then adjust the electricity consumption during the valley period and the peak period to the greatest extent, improve the energy utilization rate during the valley period, and reduce the power supply pressure of the power grid during the peak period.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of new energy technology, and in particular to a method, device, equipment and storage medium for determining the declared power of a new energy station. Background Art

[0002] With the continuous and rapid construction of new energy stations, the problem of power consumption has become increasingly prominent. The participation of new energy in the electricity spot market will be one of the main ways to consume in the future. How new energy stations can use reasonable strategies to determine the declared power for participating in the spot market is an urgent problem that new energy stations need to solve. The declared power can be the operating daily power reported by each power generation unit in the region to the dispatching unit.

[0003] Currently, the reported power is determined by manual filling, which is affected by the experience of the filler and has a large error problem. Summary of the invention

[0004] The embodiments of the present invention provide a method, device, equipment and storage medium for determining the reported power of a new energy station, which can improve the accuracy of the power reported by the station, thereby maximally adjusting the electricity consumption during the off-peak period and the peak period, improving the energy utilization rate during the off-peak period, and reducing the power supply pressure of the power grid during the peak period.

[0005] According to one aspect of the present invention, a method for determining the declared power of a new energy station is provided, comprising:

[0006] Acquire first information of a new energy station and second information of a target area corresponding to the new energy station, wherein the first information includes: day-ahead electricity price forecast data, real-time electricity price forecast data, balancing cost per unit power, and operation day forecast power, and the second information includes: base electricity price and base ratio of new energy decomposition;

[0007] adjusting the predicted power on the operation day to form a first power according to the first information and the second information;

[0008] The declared power for operation day of the new energy station is determined according to the first power and / or the actual maximum power of the new energy station.

[0009] Further, adjusting the operation day predicted power to form the first power according to the first information and the second information includes:

[0010] If the product of the first difference and the ratio of the base number of the new energy decomposition, the second difference and the sum of the balancing costs per unit power is equal to zero, the predicted power on the operation day is determined as the first power, wherein the first difference is the difference determined according to the base electricity price and the day-ahead electricity price forecast data, and the second difference is the difference determined according to the day-ahead electricity price forecast data and the real-time electricity price forecast data;

[0011] Accordingly, determining the declared power of the new energy station on the operation day according to the first power and / or the actual maximum power of the new energy station includes:

[0012] Determine that the first power is the power reported on the operating day of the new energy station.

[0013] Further, the adjusting the operation day predicted power to form the first power according to the first information and the second information further includes:

[0014] If the sum of the product of the first difference and the new energy decomposition base ratio, the second difference and the balancing fee generated by the unit power is greater than zero, then increasing the predicted power on the operating day to form the first power;

[0015] Accordingly, determining the declared power of the new energy station on the operation day according to the first power and / or the actual maximum power of the new energy station includes:

[0016] Determine the minimum value between the first power and the actual maximum power as the declared power for the operation day of the new energy station;

[0017] If the sum of the product of the first difference and the ratio of the new energy decomposition base, the second difference and the balancing fee generated by the unit power is less than zero, then reducing the predicted power on the operating day to form the first power;

[0018] Accordingly, determining the declared power of the new energy station on the operation day according to the first power and / or the actual maximum power of the new energy station includes:

[0019] Determine that the first power is the power reported on the operating day of the new energy station.

[0020] Further, the adjusting the operation day predicted power to form the first power according to the first information and the second information further includes:

[0021] Obtaining the assessment allowable error of the new energy station and the average error of the historical power forecast of the station, wherein the assessment allowable error is the error range within which the assessment of the power forecast error does not generate assessment fees;

[0022] Correspondingly, if the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing cost generated by the unit power is greater than zero, then increasing the operation day forecast power to form the first power, including:

[0023] If the sum of the product of the first difference and the ratio of the new energy decomposition base, the second difference and the balancing cost per unit power is greater than zero, the predicted power of the operating day is increased according to the allowable error of the assessment and the average error of the historical prediction of the station power to form the first power;

[0024] Correspondingly, if the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing cost generated by the unit power is less than zero, then reducing the predicted power on the operating day to form the first power includes:

[0025] If the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing cost per unit power is less than zero, the predicted power for the operating day is reduced according to the allowable error of the assessment and the average error of the historical power prediction of the site to form the first power.

[0026] Furthermore, the method for obtaining the balancing fee generated by the unit power includes:

[0027] Obtain the new energy allocation coefficient of balancing costs, the station allocation coefficient of balancing costs, and the total balancing costs caused by station prediction errors;

[0028] The balancing fee generated by the unit power is determined according to the predicted power on the operating day, the new energy sharing coefficient of the balancing fee, the site sharing coefficient of the balancing fee, and the total balancing fee generated by the site prediction error.

[0029] Furthermore, the method for obtaining the day-ahead electricity price forecast data and the real-time electricity price forecast data includes:

[0030] Obtain day-ahead bidding space, day-ahead electricity price data, real-time bidding space, and real-time electricity price data;

[0031] The day-ahead electricity price forecast data is determined according to the day-ahead bidding space and the day-ahead electricity price data, and the real-time electricity price forecast data is determined according to the real-time bidding space and the real-time electricity price data.

[0032] Furthermore, the day-ahead bidding space, day-ahead electricity price data, real-time bidding space and real-time electricity price data are obtained, including:

[0033] Obtain the regional dispatching caliber load, tie line plan value, new energy load, historical electricity price data and capacity of the units that must be started in the target area;

[0034] Determine the day-ahead electricity price data and the real-time electricity price data according to the historical electricity price data;

[0035] The day-ahead bidding space and the real-time bidding space are determined according to the regional dispatching caliber load, the interconnection line planned value, the new energy load and the capacity of the must-start units.

[0036] Further, the regional dispatch caliber load includes: real-time regional dispatch caliber load and day-ahead regional dispatch caliber load, the tie line plan value includes: real-time tie line plan value and day-ahead tie line plan value, the new energy load includes: real-time new energy load and day-ahead new energy load, the must-start unit capacity includes: real-time must-start unit capacity and day-ahead must-start unit capacity;

[0037] Accordingly, the day-ahead bidding space and the real-time bidding space are determined according to the regional dispatching caliber load, the tie line planned value, the new energy load, and the capacity of the must-start unit, including:

[0038] Determine the real-time electricity price data on the day before the declaration date, the real-time regional dispatching caliber load on the day before the declaration date, the real-time interconnection line planned value on the day before the declaration date, the real-time new energy load on the day before the declaration date, the real-time must-start unit capacity on the day before the declaration date, the real-time regional dispatching caliber load on the day before the declaration date, the real-time interconnection line planned value on the day before the declaration date, the real-time new energy load on the day before the declaration date, and the real-time must-start unit capacity on the day before the declaration date, the real-time regional dispatching caliber load on the operation day, the real-time interconnection line planned value on the operation day, the real-time new energy load on the operation day, and the real-time must-start unit capacity on the operation day based on the real-time regional dispatching caliber load, the real-time interconnection line planned value on the operation day, the real-time new energy load on the operation day, and the real-time must-start unit capacity on the operation day;

[0039] The real-time bidding space on the day before the declaration date is determined based on the real-time regional dispatching caliber load on the day before the declaration date, the real-time interconnection line plan value on the day before the declaration date, the real-time new energy load on the day before the declaration date, and the real-time capacity of the units that must be started on the day before the declaration date;

[0040] The real-time bidding space on the operating day is determined based on the real-time regional dispatch caliber load on the operating day, the real-time interconnection line plan value on the operating day, the real-time new energy load on the operating day, and the real-time must-start unit capacity on the operating day.

[0041] Furthermore, the regional dispatching caliber load, the tie line planned value, the new energy load and the capacity of the must-start unit determine the day-ahead bidding space, including:

[0042] Obtain the day-ahead electricity price curve data of the day before the declaration date, the day-ahead regional dispatching caliber load of the day before the declaration date, the day-ahead interconnection line planned value of the day before the declaration date, the day-ahead new energy load of the day before the declaration date, the day-ahead unit capacity that must be started the day before the declaration date, the day-ahead regional dispatching caliber load of the day before the operation day, the day-ahead interconnection line planned value of the day before the operation day, the day-ahead new energy load of the operation day, and the day-ahead unit capacity that must be started the day before the operation day;

[0043] The day-ahead bidding space on the day before the application date is determined based on the day-ahead regional dispatching caliber load on the day before the application date, the day-ahead interconnection line planned value on the day before the application date, the day-ahead new energy load on the day before the application date, and the day-ahead mandatory unit capacity on the day before the application date.

[0044] The bidding space on the day before the operation day is determined based on the regional dispatching caliber load on the day before the operation day, the interconnection line planned value on the day before the operation day, the new energy load on the day before the operation day, and the capacity of the units that must be started on the day before the operation day.

[0045] Further, the day-ahead electricity price forecast data and the real-time electricity price forecast data of the new energy station are determined according to the day-ahead bidding space, the day-ahead electricity price data, the real-time bidding space and the real-time electricity price data, including:

[0046] Determine the real-time electricity price forecast data for the operation day based on the real-time bidding space one day before the declaration date, the real-time electricity price data one day before the declaration date, and the real-time bidding space on the operation day;

[0047] The day-ahead electricity price forecast data for the operation day is determined based on the day-ahead bidding space one day before the declaration date, the day-ahead electricity price data one day before the declaration date, and the day-ahead bidding space on the operation day.

[0048] According to another aspect of the present invention, a device for determining declared power of a new energy station is provided, comprising:

[0049] an acquisition module, configured to acquire first information of a new energy station and second information of a target area corresponding to the new energy station, wherein the first information includes: day-ahead electricity price forecast data, real-time electricity price forecast data, balancing cost per unit power, and operation day forecast power, and the second information includes: base electricity price and base ratio of new energy decomposition;

[0050] A first power determination module, configured to adjust the operation day predicted power to form a first power according to the first information and the second information;

[0051] The module for determining the power reported on the operation day is used to determine the power reported on the operation day of the new energy station according to the first power and / or the actual maximum power of the new energy station.

[0052] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0053] at least one processor; and

[0054] a memory communicatively connected to the at least one processor; wherein,

[0055] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining the declared power of a new energy station described in any embodiment of the present invention.

[0056] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for determining the declared power of a new energy station described in any embodiment of the present invention when executed.

[0057] The embodiment of the present invention obtains first information of a new energy station and second information of a target area corresponding to the new energy station, wherein the first information includes: day-ahead electricity price forecast data, real-time electricity price forecast data, balancing costs per unit power, and forecast power on the operation day, and the second information includes: base electricity price and base ratio of new energy decomposition; adjusts the forecast power on the operation day to form the first power according to the first information and the second information; determines the declared power on the operation day of the new energy station according to the first power and / or the actual maximum power of the new energy station. The problem of large errors in manually determining the declared power is solved, and the accuracy of the declared power of the station can be improved, thereby maximally adjusting the electricity consumption during the valley and peak periods, improving the energy utilization rate during the valley period, and reducing the power supply pressure of the power grid during the peak period.

[0058] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0060] Figure 1 is a flow chart of a method for determining declared power of a new energy station in an embodiment of the present invention;

[0061] Figure 2 is a flow chart of another method for determining the declared power of a new energy station in an embodiment of the present invention;

[0062] Figure 3 It is a structural schematic diagram of a device for determining declared power of a new energy station in an embodiment of the present invention;

[0063] Figure 4 It is a structural schematic diagram of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0064] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0065] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0066] Embodiment 1

[0067] Figure 1 A flowchart of a method for determining the declared power of a new energy station provided in an embodiment of the present invention. This embodiment is applicable to the case of determining the declared power of a new energy station. The method can be executed by a device for determining the declared power of a new energy station in an embodiment of the present invention. The device can be implemented in software and / or hardware, such as Figure 1 As shown, the method specifically comprises the following steps:

[0068] S110, obtaining first information of a new energy station and second information of a target area corresponding to the new energy station, wherein the first information includes: day-ahead electricity price forecast data, real-time electricity price forecast data, balancing cost per unit power, and operating day forecast power; the second information includes: base electricity price and new energy decomposition base ratio.

[0069] Among them, the new energy station can be a station that needs to report power to the power grid dispatching department. For example, the new energy station can be a photovoltaic station and / or a wind power station. The target area can be the provincial area to which the new energy station belongs, or it can be the area of ​​other levels such as the municipal or county level to which the new energy station belongs. The operation day can be the date corresponding to the declared power. For example, if the declaration is made on June 6, it is necessary to predict the declared power on June 8. Among them, June 6 is the declaration day and June 8 is the operation day. The day-ahead electricity price forecast data can be the day-ahead electricity price forecast data for the whole day of the operation day. The real-time electricity price forecast data can be the real-time electricity price forecast data adjusted by the 4-hour rolling dispatch on the operation day according to the actual load and operation conditions. The predicted power on the operation day can be obtained according to the power forecast curve of the operation day owned by the new energy station. The balancing cost generated by unit power can be the product of the new energy sharing ratio, the station sharing coefficient and the total balancing cost generated by the station prediction error. The base electricity price can be the coal-fired benchmark electricity price. The renewable energy allocation coefficient of the balancing fee can be the renewable energy allocation coefficient of each station in the entire network (such as the target area), for example: the renewable energy allocation coefficient of each station in XX Province. The historical electricity price curve can be the electricity price curve before the declaration date. The renewable energy decomposition base ratio can be the ratio of the declared power settled at the coal-fired benchmark electricity price.

[0070] S120: Adjust the predicted power on the operating day according to the first information and the second information to form a first power.

[0071] Among them, adjusting the predicted power on the operating day to form the first power includes: determining the predicted power on the operating day as the first power, or increasing the predicted power on the operating day to form the first power, or reducing the predicted power on the operating day to form the first power.

[0072] In this embodiment, optionally, the operation day forecast power is adjusted according to the first information and the second information to form a first power, including: if the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing costs generated per unit power is equal to zero, then the operation day forecast power is determined as the first power, wherein the first difference is the difference determined based on the base electricity price and the day-ahead electricity price forecast data, and the second difference is the difference determined based on the day-ahead electricity price forecast data and the real-time electricity price forecast data; accordingly, determining the operation day declared power of the new energy station based on the first power and / or the actual maximum power of the new energy station includes: determining the first power as the operation day declared power of the new energy station.

[0073] Specifically, the reporting strategy is adjusted according to the principle of maximizing target benefits, and the power prediction curve Qi of the new energy station is used. 预测 , after adjustment, report the adjusted power coefficient ε i , after adjustment, the reported power curve can be: Qi 日前 =ε i ×Qi 预测 If αi(Ci 基数电价 -Ci 日前 )+(Ci 日前 -Ci 实时 +Ci 平衡 )=0, the power reported on the operation day is reported according to the predicted power on the operation day. 基数电价 is the base electricity price at time i, Ci 日前 is the day-ahead electricity price forecast at time i, Ci 实时 is the real-time electricity price forecast value at time i, Ci 平衡 is the balancing cost per unit power generated at time i.

[0074] In this embodiment, optionally, adjusting the predicted power for the operating day according to the first information and the second information to form the first power also includes: if the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing costs generated by the unit power is greater than zero, then increasing the predicted power for the operating day to form the first power; accordingly, determining the declared power for the operating day of the new energy station according to the first power and / or the actual maximum power of the new energy station includes: determining the minimum value of the first power and the actual maximum power as the declared power for the operating day of the new energy station; if the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing costs generated by the unit power is less than zero, then reducing the predicted power for the operating day to form the first power; accordingly, determining the declared power for the operating day of the new energy station according to the first power and / or the actual maximum power of the new energy station includes: determining the first power as the declared power for the operating day of the new energy station.

[0075] The first difference is a difference determined based on the base electricity price and the day-ahead electricity price forecast data, and the second difference is a difference determined based on the day-ahead electricity price forecast data and the real-time electricity price forecast data.

[0076] Specifically, the method of increasing the predicted power on the operating day to form the first power may be: increasing the predicted power on the operating day to form the first power according to the allowable error of the assessment and the average error of the historical prediction of the site power.

[0077] Specifically, the method of reducing the predicted power on the operating day to form the first power may be: reducing the predicted power on the operating day to form the first power according to the allowable error of the assessment and the average error of the historical prediction of the site power.

[0078] In this embodiment, optionally, adjusting the predicted power for the operating day according to the first information and the second information to form a first power further includes: obtaining the assessment allowable error of the new energy power station and the historical predicted average error of the power station power, where the assessment allowable error is the error range within which the assessment of the power prediction error does not generate assessment fees; correspondingly, if the sum of the product of the first difference and the proportion of the new energy decomposition base, the second difference, and the balancing cost generated per unit power is greater than zero, then increasing the predicted power for the operating day to form the first power, including: if the sum of the product of the first difference and the proportion of the new energy decomposition base, the second difference, and the balancing cost generated per unit power is greater than zero, then increasing the predicted power for the operating day according to the assessment allowable error and the historical predicted average error of the power station power to form the first power; correspondingly, if the sum of the product of the first difference and the proportion of the new energy decomposition base, the second difference, and the balancing cost generated per unit power is less than zero, then decreasing the predicted power for the operating day to form the first power, including: if the sum of the product of the first difference and the proportion of the new energy decomposition base, the second difference, and the balancing cost generated per unit power is less than zero, then decreasing the predicted power for the operating day according to the assessment allowable error and the historical predicted average error of the power station power to form the first power.

[0079] Among them, the assessment allowable error may be the error range within which the assessment of the power prediction error does not generate assessment fees. The historical predicted average error of the power station power may be the historical predicted average error of the power station power for each typical weather and time period.

[0080] It should be noted that in order to maximize the corresponding target revenue, it is necessary to adjust the reported adjustment power coefficient ε 日前 The reported adjustment power coefficient ε i needs to meet the following conditions: i 1. The power after lifting cannot exceed the actual maximum output Q

[0081] = k1 × Q max (For some power stations, the power cannot reach full load due to long service life, and k1 is a relevant coefficient) After adjustment, the reported adjustment power coefficient ε 额定 , ε i < Q i / Qi max ;

[0082] 2. It is necessary to be within the range where no error assessment fee is generated:

[0083] ∣(Qi 实际 - Qi 日前 ) / Qi 实际 ∣ < AEi, that is, (1 - AEi) × (1 + β i,ζ ) < ε i,ζ i ​<(1+AEi)×(1-β i,ζ ), where AE i To assess the allowable error, β i,ζ is the average error of the historical prediction of the station power at time point i, and ζ represents the weather conditions, such as wind speed, sunny and rainy days.

[0084] According to the principle of maximizing target benefits, if αi(Ci 基数电价 -Ci 日前 )+(Ci 日前 -Ci 实时 +Ci 平衡 )<0, the predicted power is lowered when reporting. The reported power can be obtained by the following formula:

[0085] Qi 日前 =(1-AEi)×(1+β i,ζ )Qi 预测 ;

[0086] Among them, Qi 预测 is the predicted power for the operating day at time point i, which can be obtained based on the operating day power prediction curve of the new energy station itself.

[0087] In this embodiment, the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing costs generated per unit power are compared with zero, and the declared error is adjusted according to the comparison result; the average error of historical power forecasts can be taken into account, and the risk of assessment can be avoided with a greater probability; at the same time, the balancing costs generated by the forecast error are taken into account, and the income of the new energy site is more effectively improved.

[0088] In this embodiment, optionally, the method for obtaining the balancing fee generated per unit power includes: obtaining the new energy sharing coefficient of the balancing fee, the site sharing coefficient of the balancing fee, and the total balancing fee generated by the site prediction error; determining the balancing fee generated per unit power according to the predicted power on the operating day, the new energy sharing coefficient of the balancing fee, the site sharing coefficient of the balancing fee, and the total balancing fee generated by the site prediction error.

[0089] The station allocation coefficient of the balancing fee is the ratio of the power reported by a single new energy station to the total power of all new energy stations in the target area. The total balancing fee caused by the station prediction error can be the product of the new energy allocation coefficient, the station allocation coefficient and the total balancing fee caused by the station prediction error.

[0090] Specifically, Qi 预测 Ci 平衡 =C 总 δγ, where Qi 预测 is the predicted power of the operating day at time i, Ci 平衡is the balancing cost per unit power generated at time i, C 总 is the total balancing cost caused by the station prediction error, δ is the new energy allocation coefficient of the balancing cost, and γ is the station allocation coefficient of the balancing cost.

[0091] Qi 日前 The corresponding target income can be obtained by the following formula:

[0092] Ri=Ci 基数电价 ×Qi 日前 ×αi+Ci 日前 ×(Qi 日前 -Qi 日前 ×αi)+Ci 实时 ×(Qi 实际 -Qi 日前 )-Ci 平衡 ×(Qi 实际 -Qi 日前 )=[αi(Ci 基数电价 -Ci 日前 )+(Ci 日前 -Ci 实时 +Ci 平衡 )]×Qi 日前 +(Ci 实时 -Ci 平衡 )×Qi 实际 ;

[0093] Among them, Ri is Qi 日前 The corresponding target return, Qi 日前 is the reported power of the operating day at time i, αi is the ratio of the new energy decomposition base, Qi 实际 is the actual output power, Ci 日前 is the day-ahead electricity price forecast at time i, Ci 实时 is the real-time electricity price forecast value at time i, Ci 平衡 is the balancing cost per unit power generated at time i.

[0094] In this embodiment, the balancing fee generated per unit power is determined by the predicted power on the operating day, the new energy sharing coefficient of the balancing fee, the site sharing coefficient of the balancing fee, and the total balancing fee generated by the site prediction error, which can improve the accuracy of the balancing fee and further improve the accuracy of the reported power.

[0095] S130: Determine the declared power of the new energy station on the operation day according to the first power and / or the actual maximum power of the new energy station.

[0096] Among them, the actual maximum power of the new energy station can be obtained according to the actual output power data. Determining the declared power of the new energy station on the day of operation according to the first power and / or the actual maximum power of the new energy station includes: when the first power is less than the actual maximum power of the new energy station, the first power is determined as the declared power of the new energy station on the day of operation; when the first power is equal to the actual maximum power of the new energy station, any one of the first power or the actual maximum power of the new energy station is determined as the declared power of the new energy station on the day of operation; when the first power is greater than the actual maximum power of the new energy station, the actual maximum power of the new energy station is determined as the declared power of the new energy station on the day of operation.

[0097] Specifically, according to the principle of maximizing target benefits, if αi(Ci 基数电价 -Ci 日前 )+(Ci 日前 -Ci 实时 +Ci 平衡 )>0, the predicted power is raised when reporting, and the raised power cannot exceed the actual maximum power Q max At this time, the declared power can be obtained by the following formula:

[0098] Qi 日前 =min((1+AEi)×(1-β i,ζ )Qi 预测 , Q max );

[0099] Among them, Q max The actual maximum power of the station may be the rated power of the station, or the maximum power that can be actually output after long-term use of the station. This power has a proportional coefficient relationship with the rated power.

[0100] In this embodiment, the minimum value between the first power value and the actual maximum power of the station is determined as the declared power, which can ensure that the first power value does not exceed the actual maximum power.

[0101] The technical solution of this embodiment obtains the first information of the new energy station and the second information of the target area corresponding to the new energy station, wherein the first information includes: the day-ahead electricity price forecast data, the real-time electricity price forecast data, the balancing cost per unit power, and the predicted power on the operation day; the second information includes: the base electricity price and the base ratio of the new energy decomposition; the predicted power on the operation day is adjusted to form the first power according to the first information and the second information; the declared power on the operation day of the new energy station is determined according to the first power and / or the actual maximum power of the new energy station. It solves the problem of large errors in manually determining the declared power, can improve the accuracy of the declared power of the station, and then adjust the electricity consumption during the valley and peak periods to the greatest extent, improve the energy utilization rate during the valley period, and reduce the power supply pressure of the power grid during the peak period.

[0102] Embodiment 2

[0103] Figure 2 A flowchart of another method for determining the declared power of a new energy station provided in the second embodiment of the present invention, this embodiment is optimized based on the above embodiment. The specific optimization is as follows: the method for obtaining the day-ahead electricity price forecast data and the real-time electricity price forecast data includes: obtaining the day-ahead bidding space, the day-ahead electricity price data, the real-time bidding space and the real-time electricity price data; determining the day-ahead electricity price forecast data according to the day-ahead bidding space and the day-ahead electricity price data, and determining the real-time electricity price forecast data according to the real-time bidding space and the real-time electricity price data. Figure 2 As shown, the method of this embodiment specifically includes the following steps:

[0104] S210, obtaining first information of a new energy station and second information of a target area corresponding to the new energy station, wherein the first information includes: day-ahead electricity price forecast data, real-time electricity price forecast data, balancing cost per unit power, and operating day forecast power; the second information includes: base electricity price and new energy decomposition base ratio.

[0105] S220, the method for obtaining the day-ahead electricity price forecast data and the real-time electricity price forecast data includes: obtaining the day-ahead bidding space, the day-ahead electricity price data, the real-time bidding space and the real-time electricity price data; determining the day-ahead electricity price forecast data according to the day-ahead bidding space and the day-ahead electricity price data; determining the real-time electricity price forecast data according to the real-time bidding space and the real-time electricity price data.

[0106] The day-ahead bidding space includes the day-ahead bidding space of the day before the declaration date and the day-ahead bidding space of the operation day. The day-ahead electricity price data may be the electricity price data for the entire day before the declaration date. The real-time bidding space includes the real-time bidding space of the day before the declaration date and the real-time bidding space of the operation day. The real-time electricity price data may be the real-time electricity price data for the entire day before the declaration date.

[0107] In this embodiment, optionally, obtaining the day-ahead bidding space, day-ahead electricity price data, real-time bidding space and real-time electricity price data includes: obtaining the regional dispatching caliber load, interconnection line planned value, new energy load, historical electricity price data and the capacity of the must-start units in the target area; determining the day-ahead electricity price data and the real-time electricity price data based on the historical electricity price data; determining the day-ahead bidding space and the real-time bidding space based on the regional dispatching caliber load, the interconnection line planned value, the new energy load and the capacity of the must-start units.

[0108] Among them, the regional dispatching caliber load of the target area can be the power supply load dispatched by the power grid within the jurisdiction of the regional dispatching agency. The interconnection line plan value can be the load value of power transmission and / or power reception in the target area. The new energy load can be the total load of all stations, including the unified dispatching load and non-unified dispatching load in the region. The unified dispatching load can be the load dispatched by the power grid, and the non-unified dispatching load can be the load generated and used by the self-contained power plant. The capacity of the required units can be the total capacity corresponding to the units that must be turned on. The historical electricity price data can be the electricity price data before the declaration date.

[0109] In this embodiment, optionally, the regional dispatching caliber load includes: real-time regional dispatching caliber load and day-ahead regional dispatching caliber load, the interconnection line plan value includes: real-time interconnection line plan value and day-ahead interconnection line plan value, the new energy load includes: real-time new energy load and day-ahead new energy load, and the must-start unit capacity includes: real-time must-start unit capacity and day-ahead must-start unit capacity; accordingly, the real-time bidding space is determined according to the regional dispatching caliber load, the interconnection line plan value, the new energy load and the must-start unit capacity, including: determining the real-time electricity price data one day before the declaration day, the real-time one day before the declaration day according to the real-time regional dispatching caliber load, the real-time interconnection line plan value, the real-time new energy load, the historical electricity price forecast data and the real-time must-start unit capacity The regional dispatching caliber load, the real-time interconnection line plan value one day before the declaration day, the real-time new energy load one day before the declaration day, the real-time must-start unit capacity one day before the declaration day, the real-time regional dispatching caliber load on the operation day, the real-time interconnection line plan value on the operation day, the real-time new energy load on the operation day, and the real-time must-start unit capacity on the operation day; determine the real-time bidding space on the day before the declaration day according to the real-time regional dispatching caliber load one day before the declaration day, the real-time interconnection line plan value one day before the declaration day, the real-time new energy load one day before the declaration day, and the real-time must-start unit capacity one day before the declaration day; determine the real-time bidding space on the operation day according to the real-time regional dispatching caliber load on the operation day, the real-time interconnection line plan value on the operation day, the real-time new energy load on the operation day, and the real-time must-start unit capacity on the operation day.

[0110] Among them, the real-time electricity price data of the day before the declaration date can be obtained through historical electricity price forecast data. The real-time regional dispatching caliber load, real-time interconnection line plan value, real-time new energy load, historical electricity price forecast data and real-time must-start unit capacity can all be obtained through data query. The real-time bidding space of the day before the declaration date = the real-time regional dispatching load of the day before the declaration date + the real-time interconnection line plan of the day before the declaration date - the real-time new energy load of the day before the declaration date - the real-time must-start unit capacity of the day before the declaration date. The real-time bidding space on the operation day = the real-time regional dispatching load of the operation day + the real-time interconnection line plan of the operation day - the real-time new energy load of the operation day - the real-time must-start unit capacity of the operation day.

[0111] In this embodiment, optionally, the regional dispatching caliber load, the interconnection line planned value, the new energy load and the capacity of the unit that must be started determine the day-ahead bidding space, including: obtaining the day-ahead electricity price curve data of the day before the declaration date, the day-ahead regional dispatching caliber load of the day before the declaration date, the day-ahead interconnection line planned value of the day before the declaration date, the day-ahead new energy load of the day before the declaration date, the capacity of the unit that must be started the day before the declaration date, the day-ahead regional dispatching caliber load of the day before the operation day, the day-ahead interconnection line planned value of the day before the operation day, the day-ahead new energy load of the operation day and the capacity of the unit that must be started the day before the operation day; determining the day-ahead bidding space of the day before the declaration date according to the day-ahead regional dispatching caliber load of the day before the declaration date, the day-ahead interconnection line planned value of the day before the declaration date, the day-ahead new energy load of the day before the declaration date and the capacity of the unit that must be started the day before the declaration date; determining the day-ahead bidding space of the operation day according to the day-ahead regional dispatching caliber load of the operation day, the day-ahead interconnection line planned value of the operation day, the day-ahead new energy load of the operation day and the capacity of the unit that must be started the day before the operation day.

[0112] The day-ahead electricity price data of the day before the declaration date may be the electricity price data of the entire day before the declaration date. The day-ahead bidding space of the day before the declaration date = the day-ahead regional dispatching load of the day before the declaration date + the day-ahead interconnection line plan of the day before the declaration date - the day-ahead new energy load of the day before the declaration date - the day-ahead capacity of the units that must be started on the day before the declaration date. The day-ahead bidding space of the operation day = the day-ahead regional dispatching load of the operation day + the day-ahead interconnection line plan of the operation day - the day-ahead new energy load of the operation day - the day-ahead capacity of the units that must be started on the operation day.

[0113] In this embodiment, optionally, the day-ahead electricity price forecast data and the real-time electricity price forecast data of the new energy station are determined according to the day-ahead bidding space, the day-ahead electricity price data, the real-time bidding space and the real-time electricity price data, including: determining the real-time electricity price forecast data of the operating day according to the real-time bidding space one day before the declaration day, the real-time electricity price data one day before the declaration day and the real-time bidding space of the operating day; determining the real-time electricity price forecast data of the operating day according to the real-time bidding space one day before the declaration day, the real-time electricity price data one day before the declaration day and the real-time bidding space of the operating day;

[0114] The predicted electricity price at each time point of the real-time electricity price forecast data of the operation day can be obtained by the following formula:

[0115]

[0116] Among them, j is the operation day, i is the time point, k is the day before the declaration date, and J i,j To run the daily real-time bidding space, J i,k The real-time bidding space on the day before the declaration date, C i,j is the real-time predicted electricity price at each time point during the operation day, C i,k It is the real-time operating electricity price at each time point on the day before the declaration date.

[0117] The predicted electricity price at each time point of the day-ahead electricity price forecast data of the operation day can be obtained by the following formula:

[0118]

[0119] Among them, J′ i,j is the day-ahead bidding space of the operation day, J′ i,k is the day-ahead bidding space before the declaration date, C′ i,j is the day-ahead predicted electricity price at each time point on the operation day, C′ i,k It is the day-ahead electricity price at each time point on the day before the declaration date.

[0120] S230: Adjust the predicted power for the operating day according to the first information and the second information to form a first power.

[0121] S240: Determine the declared power for operation day of the new energy station according to the first power and / or the actual maximum power of the new energy station.

[0122] In this embodiment, the real-time electricity price forecast data for the operating day is determined by the real-time bidding space of the day before the declaration date, the real-time electricity price curve of the day before the declaration date, and the real-time bidding space of the operating day; the day-ahead electricity price forecast data for the operating day is determined by the day-ahead bidding space of the day before the declaration date, the day-ahead electricity price data of the day before the declaration date, and the day-ahead bidding space of the operating day; the real-time electricity price forecast data and the day-ahead electricity price forecast data for the operating day can be determined more accurately, providing reliable data for calculating the target profit.

[0123] Embodiment 3

[0124] Figure 3 This is a schematic diagram of the structure of a device for determining the reported power of a new energy station provided in an embodiment of the present invention. This embodiment is applicable to the case of reporting the daily power of a new energy station. The device can be implemented in software and / or hardware. The device can be integrated in any device that provides the function of determining the reported power, such as Figure 3 As shown, the reported power determination device of the new energy station specifically includes:

[0125] The acquisition module 310 is used to acquire first information of a new energy station and second information of a target area corresponding to the new energy station, wherein the first information includes: day-ahead electricity price forecast data, real-time electricity price forecast data, balancing cost per unit power, and operation day forecast power, and the second information includes: base electricity price and base ratio of new energy decomposition;

[0126] A first power determination module 320, configured to adjust the operation day predicted power to form a first power according to the first information and the second information;

[0127] The operation day declared power determination module 330 is used to determine the operation day declared power of the new energy station according to the first power and / or the actual maximum power of the new energy station.

[0128] Optionally, the first power determination module includes:

[0129] a first power determination unit, configured to determine the predicted power on the operation day as the first power if the sum of the product of the first difference and the new energy decomposition base ratio, the second difference and the balancing fee generated per unit power is equal to zero, wherein the first difference is a difference determined according to the base electricity price and the day-ahead electricity price prediction data, and the second difference is a difference determined according to the day-ahead electricity price prediction data and the real-time electricity price prediction data;

[0130] The first declared power determination unit is used to determine that the first power is the declared power of the new energy station on the operating day.

[0131] Optionally, the first power determination module further includes:

[0132] A first adjustment unit is configured to increase the predicted power on the operating day to form the first power if the sum of the product of the first difference and the new energy decomposition base ratio, the second difference and the balancing fee generated by the unit power is greater than zero;

[0133] A second declared power determination unit is used to determine the minimum value between the first power and the actual maximum power as the declared power of the new energy station on the operation day;

[0134] A second adjustment unit is configured to reduce the predicted power on the operating day to form the first power if the sum of the product of the first difference and the new energy decomposition base ratio, the second difference and the balancing fee generated by the unit power is less than zero;

[0135] The third declared power determination unit is used to determine that the first power is the declared power of the new energy station on the operating day.

[0136] Optionally, the device further includes:

[0137] An error acquisition module is used to obtain the assessment allowable error of the new energy station and the average error of the station power historical prediction, wherein the assessment allowable error is the error range within which the assessment of the power prediction error does not generate assessment fees;

[0138] Accordingly, the first adjustment unit includes:

[0139] The power forms a first subunit, which is used to increase the predicted power of the operating day according to the allowable error of the assessment and the average error of the historical prediction of the power of the site to form the first power if the product of the first difference and the ratio of the new energy decomposition base, the second difference and the sum of the balancing cost generated by the unit power is greater than zero;

[0140] The second adjustment unit includes:

[0141] The power forms a second subunit, which is used to form the first power by reducing the predicted power of the operating day according to the allowable error of the assessment and the average error of the historical prediction of the site power if the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing cost generated per unit power is less than zero.

[0142] Optionally, the device further includes:

[0143] The allocation coefficient acquisition module is used to obtain the new energy allocation coefficient of the balancing cost, the station allocation coefficient of the balancing cost, and the total balancing cost caused by the station prediction error;

[0144] The balancing fee determination module is used to determine the balancing fee generated by the unit power according to the predicted power on the operating day, the new energy sharing coefficient of the balancing fee, the site sharing coefficient of the balancing fee and the total balancing fee generated by the site prediction error.

[0145] Optionally, the acquisition module includes:

[0146] A first acquisition unit is used to acquire day-ahead bidding space, day-ahead electricity price data, real-time bidding space and real-time electricity price data;

[0147] The electricity price forecast data determining unit is used to determine the day-ahead electricity price forecast data according to the day-ahead bidding space and the day-ahead electricity price data, and to determine the real-time electricity price forecast data according to the real-time bidding space and the real-time electricity price data.

[0148] Optionally, the first acquiring unit includes:

[0149] The first acquisition subunit is used to obtain the regional dispatching caliber load, tie line plan value, new energy load, historical electricity price data and must-start unit capacity of the target area;

[0150] An electricity price data determination subunit, configured to determine the day-ahead electricity price data and the real-time electricity price data according to the historical electricity price data;

[0151] The bidding space determination subunit is used to determine the day-ahead bidding space and the real-time bidding space according to the regional dispatching caliber load, the interconnection line plan value, the new energy load and the capacity of the must-start unit.

[0152] Optionally, the regional dispatch caliber load includes: real-time regional dispatch caliber load and day-ahead regional dispatch caliber load, the tie line plan value includes: real-time tie line plan value and day-ahead tie line plan value, the new energy load includes: real-time new energy load and day-ahead new energy load, and the must-start unit capacity includes: real-time must-start unit capacity and day-ahead must-start unit capacity;

[0153] Accordingly, the bidding space determination subunit includes:

[0154] A real-time data determination subunit is used to determine the real-time electricity price data of the day before the declaration date, the real-time regional dispatching caliber load of the day before the declaration date, the real-time interconnection line planned value of the day before the declaration date, the real-time new energy load of the day before the declaration date, the real-time must-start unit capacity ... operation day, the real-time interconnection line planned value of the operation day, the real-time new energy load of the operation day, and the real-time must-start unit capacity of the operation day according to the real-time regional dispatching caliber load, the real-time interconnection line planned value of the operation day, the real-time new energy load of the operation day, and the real-time must-start unit capacity of the operation day;

[0155] A subunit for determining the real-time bidding space one day before the declaration date, which is used to determine the real-time bidding space one day before the declaration date based on the real-time regional dispatch caliber load one day before the declaration date, the real-time interconnection line plan value one day before the declaration date, the real-time new energy load one day before the declaration date, and the real-time capacity of the required generating units one day before the declaration date;

[0156] The real-time bidding space determination subunit on the operating day is used to determine the real-time bidding space on the operating day according to the real-time regional dispatching caliber load on the operating day, the real-time tie line plan value on the operating day, the real-time new energy load on the operating day, and the real-time must-start unit capacity on the operating day.

[0157] The bidding space determination subunit further includes:

[0158] The day-ahead data acquisition subunit is used to obtain the day-ahead electricity price curve data of the day before the declaration date, the day-ahead regional dispatch caliber load of the day before the declaration date, the day-ahead interconnection line planned value of the day before the declaration date, the day-ahead new energy load of the day before the declaration date, the day-ahead unit capacity that must be started the day before the declaration date, the day-ahead regional dispatch caliber load of the operation day, the day-ahead interconnection line planned value of the operation day, the day-ahead new energy load of the operation day, and the day-ahead unit capacity that must be started the day before the operation day;

[0159] A day-ahead bidding space determination subunit one day before the declaration date is used to determine the day-ahead bidding space one day before the declaration date based on the day-ahead regional dispatch caliber load one day before the declaration date, the day-ahead tie line planned value one day before the declaration date, the day-ahead new energy load one day before the declaration date, and the day-ahead mandatory unit capacity one day before the declaration date;

[0160] The subunit for determining the bidding space on the day before the operation day is used to determine the bidding space on the day before the operation day according to the regional dispatch caliber load on the day before the operation day, the interconnection line plan value on the day before the operation day, the new energy load on the day before the operation day, and the capacity of the units that must be started on the day before the operation day.

[0161] Optionally, the electricity price forecast data determination unit includes:

[0162] A real-time electricity price forecast data determination subunit, used to determine the real-time electricity price forecast data for the operation day according to the real-time bidding space one day before the declaration date, the real-time electricity price data one day before the declaration date, and the real-time bidding space on the operation day;

[0163] The day-ahead electricity price forecast data determination subunit is used to determine the day-ahead electricity price forecast data for the operation day based on the day-ahead bidding space one day before the declaration day, the day-ahead electricity price data one day before the declaration day, and the day-ahead bidding space on the operation day.

[0164] The above-mentioned product can execute the method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0165] Embodiment 4

[0166] Figure 4 is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0167] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0168] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0169] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for determining the declared power of a new energy station.

[0170] In some embodiments, the method for determining the declared power of a new energy station may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for determining the declared power of the new energy station described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for determining the declared power of the new energy station by any other appropriate means (e.g., by means of firmware).

[0171] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0172] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0173] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0174] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0175] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0176] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0177] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0178] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining the declared power of a new energy station, characterized in that: include: Acquire first information of a new energy station and second information of a target area corresponding to the new energy station, wherein the first information includes: day-ahead electricity price forecast data, real-time electricity price forecast data, balancing cost per unit power, and operation day forecast power, and the second information includes: base electricity price and base ratio of new energy decomposition; adjusting the predicted power on the operation day to form a first power according to the first information and the second information; Determine the declared power for the operation day of the new energy station according to the first power and / or the actual maximum power of the new energy station; The adjusting the operation day predicted power to form the first power according to the first information and the second information includes: If the product of the first difference and the ratio of the base number of the new energy decomposition, the second difference and the sum of the balancing costs per unit power is equal to zero, the predicted power on the operation day is determined as the first power, wherein the first difference is the difference determined according to the base electricity price and the day-ahead electricity price forecast data, and the second difference is the difference determined according to the day-ahead electricity price forecast data and the real-time electricity price forecast data; The adjusting the operation day predicted power to form the first power according to the first information and the second information further includes: Obtaining the assessment allowable error of the new energy station and the average error of the historical power forecast of the station, wherein the assessment allowable error is the error range within which the assessment of the power forecast error does not generate assessment fees; If the product of the first difference and the ratio of the new energy decomposition base, the second difference and the sum of the balancing cost per unit power is greater than zero, the predicted power on the operating day is increased according to the allowable error of the assessment and the average error of the historical prediction of the site power to form the first power; If the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing cost per unit power is less than zero, the predicted power for the operating day is reduced according to the allowable error of the assessment and the average error of the historical power prediction of the site to form the first power.

2. The method according to claim 1, characterized in that If the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing fee per unit power is equal to zero, correspondingly, determining the declared power of the new energy station on the operation day according to the first power and / or the actual maximum power of the new energy station includes: Determine that the first power is the power reported on the operating day of the new energy station.

3. The method according to claim 2, characterized in that Also includes: If the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing fee generated per unit power is greater than zero, correspondingly, determining the declared power of the new energy station on the operation day according to the first power and / or the actual maximum power of the new energy station includes: Determine the minimum value between the first power and the actual maximum power as the declared power for the operation day of the new energy station; If the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing fee generated per unit power is less than zero, correspondingly, determining the declared power of the new energy station on the operation day according to the first power and / or the actual maximum power of the new energy station includes: Determine that the first power is the power reported on the operating day of the new energy station.

4. The method according to any one of claims 1 to 3, characterized in that: The method for obtaining the balancing fee generated by the unit power includes: Obtain the new energy allocation coefficient of balancing costs, the station allocation coefficient of balancing costs, and the total balancing costs caused by station prediction errors; The balancing fee generated by the unit power is determined according to the predicted power on the operating day, the new energy sharing coefficient of the balancing fee, the site sharing coefficient of the balancing fee, and the total balancing fee generated by the site prediction error.

5. The method according to claim 1, characterized in that The method for obtaining the day-ahead electricity price forecast data and the real-time electricity price forecast data includes: Obtain day-ahead bidding space, day-ahead electricity price data, real-time bidding space, and real-time electricity price data; The day-ahead electricity price forecast data is determined according to the day-ahead bidding space and the day-ahead electricity price data, and the real-time electricity price forecast data is determined according to the real-time bidding space and the real-time electricity price data.

6. The method according to claim 5, characterized in that Obtain day-ahead bidding space, day-ahead electricity price data, real-time bidding space, and real-time electricity price data, including: Obtain the regional dispatching caliber load, tie line plan value, new energy load, historical electricity price data and capacity of the required units in the target area; Determine the day-ahead electricity price data and the real-time electricity price data according to the historical electricity price data; The day-ahead bidding space and the real-time bidding space are determined according to the regional dispatching caliber load, the interconnection line planned value, the new energy load and the capacity of the must-start units.

7. The method according to claim 6, characterized in that The regional dispatch caliber load includes: real-time regional dispatch caliber load and day-ahead regional dispatch caliber load, the tie line plan value includes: real-time tie line plan value and day-ahead tie line plan value, the new energy load includes: real-time new energy load and day-ahead new energy load, the must-start unit capacity includes: real-time must-start unit capacity and day-ahead must-start unit capacity; Accordingly, the real-time bidding space is determined according to the regional dispatching caliber load, the tie line plan value, the new energy load and the capacity of the must-start unit, including: Determine the real-time electricity price data on the day before the declaration date, the real-time regional dispatching caliber load on the day before the declaration date, the real-time interconnection line planned value on the day before the declaration date, the real-time new energy load on the day before the declaration date, the real-time must-start unit capacity on the day before the declaration date, the real-time regional dispatching caliber load on the day before the declaration date, the real-time interconnection line planned value on the day before the declaration date, the real-time new energy load on the day before the declaration date, and the real-time must-start unit capacity on the day before the declaration date, the real-time regional dispatching caliber load on the operation day, the real-time interconnection line planned value on the operation day, the real-time new energy load on the operation day, and the real-time must-start unit capacity on the operation day based on the real-time regional dispatching caliber load, the real-time interconnection line planned value on the operation day, the real-time new energy load on the operation day, and the real-time must-start unit capacity on the operation day; The real-time bidding space on the day before the declaration date is determined based on the real-time regional dispatching caliber load on the day before the declaration date, the real-time interconnection line plan value on the day before the declaration date, the real-time new energy load on the day before the declaration date, and the real-time capacity of the units that must be started on the day before the declaration date; The real-time bidding space on the operating day is determined based on the real-time regional dispatch caliber load on the operating day, the real-time interconnection line plan value on the operating day, the real-time new energy load on the operating day, and the real-time must-start unit capacity on the operating day.

8. The method according to claim 7, characterized in that The day-ahead bidding space is determined according to the regional dispatching caliber load, the tie line planned value, the new energy load and the capacity of the must-start generating units, including: Obtain the day-ahead electricity price curve data of the day before the declaration date, the day-ahead regional dispatching caliber load of the day before the declaration date, the day-ahead interconnection line planned value of the day before the declaration date, the day-ahead new energy load of the day before the declaration date, the day-ahead unit capacity that must be started the day before the declaration date, the day-ahead regional dispatching caliber load of the day before the operation day, the day-ahead interconnection line planned value of the day before the operation day, the day-ahead new energy load of the operation day, and the day-ahead unit capacity that must be started the day before the operation day; The day-ahead bidding space on the day before the application date is determined based on the day-ahead regional dispatching caliber load on the day before the application date, the day-ahead interconnection line planned value on the day before the application date, the day-ahead new energy load on the day before the application date, and the day-ahead mandatory unit capacity on the day before the application date. The bidding space on the day before the operation day is determined based on the regional dispatching caliber load on the day before the operation day, the interconnection line planned value on the day before the operation day, the new energy load on the day before the operation day, and the capacity of the units that must be started on the day before the operation day.

9. The method according to claim 5, characterized in that Determining the day-ahead electricity price forecast data and the real-time electricity price forecast data of the new energy station according to the day-ahead bidding space, the day-ahead electricity price data, the real-time bidding space and the real-time electricity price data includes: Determine the real-time electricity price forecast data for the operation day based on the real-time bidding space one day before the declaration date, the real-time electricity price data one day before the declaration date, and the real-time bidding space on the operation day; The day-ahead electricity price forecast data for the operation day is determined based on the day-ahead bidding space one day before the declaration date, the day-ahead electricity price data one day before the declaration date, and the day-ahead bidding space on the operation day.

10. A device for determining the declared power of a new energy station, characterized in that: include: an acquisition module, configured to acquire first information of a new energy station and second information of a target area corresponding to the new energy station, wherein the first information includes: day-ahead electricity price forecast data, real-time electricity price forecast data, balancing cost per unit power, and operation day forecast power, and the second information includes: base electricity price and base ratio of new energy decomposition; A first power determination module, configured to adjust the operation day predicted power to form a first power according to the first information and the second information; An operation day declared power determination module, used to determine the operation day declared power of the new energy station according to the first power and / or the actual maximum power of the new energy station; Wherein, the first power determination module includes: a first power determination unit, configured to determine the predicted power on the operation day as the first power if the sum of the product of the first difference and the new energy decomposition base ratio, the second difference and the balancing fee generated per unit power is equal to zero, wherein the first difference is a difference determined according to the base electricity price and the day-ahead electricity price prediction data, and the second difference is a difference determined according to the day-ahead electricity price prediction data and the real-time electricity price prediction data; Wherein, the device further comprises: An error acquisition module is used to obtain the assessment allowable error of the new energy station and the average error of the station power historical prediction, wherein the assessment allowable error is the error range within which the assessment of the power prediction error does not generate assessment fees; Wherein, the first power determination module includes: a first adjustment unit and a second adjustment unit; The first adjustment unit includes: The power forms a first subunit, which is used to increase the predicted power of the operating day according to the allowable error of the assessment and the average error of the historical prediction of the power of the site to form the first power if the product of the first difference and the ratio of the new energy decomposition base, the second difference and the sum of the balancing cost generated by the unit power is greater than zero; The second adjustment unit includes: The power forms a second subunit, which is used to form the first power by reducing the predicted power of the operating day according to the allowable error of the assessment and the average error of the historical prediction of the site power if the product of the first difference and the new energy decomposition base ratio, the second difference and the sum of the balancing cost generated per unit power is less than zero.

11. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining the declared power of a new energy station described in any one of claims 1-9.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for determining the declared power of a new energy station according to any one of claims 1 to 9 when executed.

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