Power supply and demand balancing method, device, equipment and medium

Abstract

The invention discloses a power supply and demand balance method, device, equipment and medium, and relates to the technical field of computers, and the method comprises the steps: constructing a 96-point curve type daily fluctuation deviation curve corresponding to each matched power supply according to a plan execution curve and a TMR collection power curve corresponding to a plurality of matched power supplies; determining a daily fluctuation deviation cost curve based on the daily fluctuation deviation curve and the daily electricity price curve, and obtaining a monthly fluctuation deviation cost curve based on the daily fluctuation deviation cost curve, so that the single matched power supply regulates power supply based on the monthly fluctuation deviation cost curve to ensure balance of power supply and demand; wherein the electricity prices in different time periods in the daily electricity price curve are the same or different. According to the invention, the accuracy of the daily clearing and monthly settlement process can be improved to ensure the balance of power supply and demand.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method, device, equipment and medium for balancing power supply and demand. Background Art

[0002] At present, the “daily clearing and monthly settlement” adopts the daily total electricity consumption for clearing, and the existing daily clearing and monthly settlement requires the collection of multiple data sources, and each link requires manual calculation and verification. On this basis, Excel tools are used for editing and calculation. The calculation process is complicated, time-consuming and prone to errors. In addition, the fluctuation deviation settlement method is calculated according to the daily total electricity consumption, which will lead to a large deviation in the settlement cost of the fluctuation deviation. Specifically, when only the daily total electricity consumption can be cleared for the daily total electricity consumption, the over-generation or under-generation of the power plant cannot be accurately calculated. The power plant has disputes over the over-generation fee or under-generation fee, and only the daily total electricity consumption is known. The supporting power supply cannot accurately adjust the power supply within a single day, and the balance of power supply and demand cannot be ensured.

[0003] In summary, how to improve the accuracy of the daily and monthly settlement process to ensure the balance of electricity supply and demand is an urgent problem to be solved. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a method, device, equipment and medium for balancing power supply and demand, which can improve the accuracy of the daily settlement and monthly settlement process to ensure the balance of power supply and demand. The specific scheme is as follows:

[0005] In a first aspect, the present application discloses a method for balancing power supply and demand, comprising:

[0006] According to the plan execution curves and TMR power collection curves corresponding to the several supporting power sources, a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source is constructed;

[0007] A daily fluctuation deviation cost curve is determined based on the daily fluctuation deviation curve and the electric power price curve, and a monthly fluctuation deviation cost curve is obtained based on the daily fluctuation deviation cost curve, so that a single supporting power source regulates power supply based on the monthly fluctuation deviation cost curve to ensure a balance between power supply and demand; wherein, the electricity prices in different time periods in the electric power price curve are the same or different.

[0008] The daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source is constructed according to the plan execution curve corresponding to a plurality of supporting power sources and the TMR collected power curve, including:

[0009] Constructing a DC bottom-line component settlement curve corresponding to a plurality of supporting power sources according to a plurality of plan execution curves and TMR collected power curves, and adjusting the DC bottom-line component settlement curve to a 96-point settlement curve;

[0010] Based on the 96-point settlement curve, determine the target cross-regional DC supporting power supply medium- and long-term plan execution curve and the target DC bottom-line component settlement curve with non-negative values ​​at each point;

[0011] Based on the medium- and long-term plan execution curve of the target inter-regional DC supporting power supply, a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power supply is calculated.

[0012] The DC bottom-line component settlement curve corresponding to a plurality of supporting power sources is constructed according to a plurality of plan execution curves and TMR collected power curves, including:

[0013] The sum of the medium- and long-term supporting power supply dispatching plan execution curve, the medium- and long-term non-supporting power supply dispatching plan execution curve, the cross-regional spot plan execution curve and the cross-regional emergency dispatching plan execution curve is calculated to obtain the DC plan execution curve, and the difference between the TMR collected power curve and the DC plan execution curve is calculated to obtain the DC fluctuation deviation curve;

[0014] Determine the supporting power source total curve from the medium- and long-term supporting power source dispatch plan execution curve, and calculate the difference between the supporting power source total curve and the medium- and long-term non-supporting power source dispatch plan execution curve to obtain a DC bottom-up component plan curve;

[0015] The sum of the DC bottom-line component planning curve and the DC fluctuation deviation curve is calculated to obtain a DC bottom-line component settlement curve corresponding to several supporting power sources.

[0016] The target cross-regional DC supporting power supply medium- and long-term plan execution curve and the target DC bottom-line component settlement curve whose values ​​at each point are not negative are determined based on the 96-point settlement curve, including:

[0017] Determine whether any point in the 96-point settlement curve has a negative value;

[0018] If it does not exist, the 96-point settlement curve and the medium- and long-term plan execution curve of the inter-regional DC supporting power supply will be directly used as the target DC bottom-line component settlement curve and the target inter-regional DC supporting power supply medium- and long-term plan execution curve respectively;

[0019] If it exists, the 96-point settlement curve is adjusted based on the medium- and long-term plan execution curve of the inter-regional DC supporting power supply to obtain the target medium- and long-term plan execution curve of the inter-regional DC supporting power supply and the target DC bottom-line component settlement curve whose point values ​​are not negative.

[0020] Wherein, the adjusting of the 96-point settlement curve based on the medium- and long-term plan execution curve of the inter-regional DC supporting power supply to obtain the target medium- and long-term plan execution curve of the inter-regional DC supporting power supply and the target DC bottom-line component settlement curve whose values ​​of each point are not negative includes:

[0021] According to the preset plan priority rules, the negative values ​​in the 96-point settlement curve are apportioned using the medium- and long-term plan execution curve of the inter-regional DC supporting power supply to obtain the target medium- and long-term plan execution curve of the inter-regional DC supporting power supply and the target DC bottom-line component settlement curve whose point values ​​are not negative;

[0022] Among them, the medium- and long-term plan execution curve of the cross-regional DC supporting power supply includes a monthly plan execution curve, a monthly plan execution curve and an annual plan execution curve; the preset plan priority rule is to allocate the monthly plan execution curve, the monthly plan execution curve and the annual plan execution curve in sequence.

[0023] The method of calculating the daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source based on the medium- and long-term plan execution curve of the target inter-regional DC supporting power source includes:

[0024] Determine the actual execution curve based on the matching power supply detailed curve;

[0025] According to the target DC bottom-line component settlement curve and the proportion of electricity of each supporting power source at each point obtained based on the actual execution curve, a supporting power supply bottom-line component settlement curve corresponding to each supporting power source is calculated;

[0026] Based on the supporting power supply bottom-line component settlement curve corresponding to each supporting power supply, the supporting power supply TMR power collection curve, the supporting power supply peak load plan execution curve and the supporting power supply backup market plan execution curve, a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power supply is obtained.

[0027] Wherein, determining the daily fluctuation deviation fee curve based on the daily fluctuation deviation curve and the daily price curve includes:

[0028] Based on the supporting power supply transaction contract plan curve corresponding to each supporting power supply and the supporting power supply TMR collection power curve, the ratio of the supporting power supply transaction contract plan amount to the supporting power supply TMR collection power amount at each point in the day is calculated to obtain the target percentage at each point in the day;

[0029] Using a first electricity price calculation scheme, and based on the daily fluctuation deviation curve and the daily electricity price curve, calculating the electricity value of the point where the target percentage is greater than a preset percentage;

[0030] Using a second electricity price calculation scheme, and based on the daily fluctuation deviation curve and the daily electricity price curve, calculating the electricity value of the point where the target percentage is not greater than a preset percentage;

[0031] A daily fluctuation deviation cost curve is determined based on all of the electricity values.

[0032] In a second aspect, the present application discloses a power supply and demand balancing device, comprising:

[0033] A deviation curve construction module is used to construct a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each of the supporting power sources according to the plan execution curves and TMR collected power curves corresponding to the supporting power sources;

[0034] A deviation cost curve determination module is used to determine a daily fluctuation deviation cost curve based on the daily fluctuation deviation curve and the electric power price curve, and to obtain a monthly fluctuation deviation cost curve based on the daily fluctuation deviation cost curve, so that a single supporting power source can regulate power supply based on the monthly fluctuation deviation cost curve to ensure a balance between power supply and demand; wherein the electricity prices in different time periods in the electric power price curve are the same or different.

[0035] In a third aspect, the present application discloses an electronic device, comprising:

[0036] Memory, used to store computer programs;

[0037] A processor is used to execute the computer program to implement the power supply and demand balancing method disclosed above.

[0038] In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the aforementioned disclosed method for balancing electricity supply and demand is implemented.

[0039] It can be seen that the present application constructs a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source based on the plan execution curve and the TMR collected power curve corresponding to several supporting power sources; determines the daily fluctuation deviation cost curve based on the daily fluctuation deviation curve and the electric power price curve, and obtains the monthly fluctuation deviation cost curve based on the daily fluctuation deviation cost curve, so that a single supporting power source can regulate the power supply based on the monthly fluctuation deviation cost curve to ensure the balance of power supply and demand; wherein the electricity prices in different time periods in the electric power price curve are the same or different. It can be seen that the present application calculates the daily fluctuation deviation curve, the daily fluctuation deviation cost curve and the monthly fluctuation deviation cost curve in the form of a 96-point curve, clarifies the electricity quantity deviation and cost deviation at each point in the day, rather than only having a total electricity quantity deviation and total cost deviation for each day, and the data is more refined, so it is beneficial for the supporting power source to more finely regulate the power supply at each point in the day to ensure the balance of power supply and demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0041] Figure 1 A flow chart of a method for balancing power supply and demand disclosed in this application;

[0042] Figure 2 A flow chart of a specific method for balancing power supply and demand disclosed in this application;

[0043] Figure 3 A schematic diagram of a daily fluctuation deviation curve construction process disclosed in this application;

[0044] Figure 4 This is a schematic diagram of the structure of a power supply and demand balancing device disclosed in this application;

[0045] Figure 5 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0047] At present, the “daily clearing and monthly settlement” adopts the daily total electricity consumption for clearing, and the existing daily clearing and monthly settlement requires the collection of multiple data sources, and each link requires manual calculation and verification. On this basis, Excel tools are used for editing and calculation. The calculation process is complicated, time-consuming and prone to errors. In addition, the fluctuation deviation settlement method is calculated according to the daily total electricity consumption, which will lead to a large deviation in the settlement cost of the fluctuation deviation. Specifically, when only the daily total electricity consumption can be cleared for the daily total electricity consumption, the over-generation or under-generation of the power plant cannot be accurately calculated. The power plant has disputes over the over-generation fee or under-generation fee, and only the daily total electricity consumption is known. The supporting power supply cannot accurately adjust the power supply within a single day, and the balance of power supply and demand cannot be ensured.

[0048] To this end, the embodiment of the present application proposes a power supply and demand balancing solution, which can improve the accuracy of the daily and monthly settlement process to ensure the balance of power supply and demand.

[0049] The present application discloses a method for balancing power supply and demand. Figure 1 As shown, the method includes:

[0050] Step S11: constructing a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each of the supporting power sources according to the plan execution curves and TMR collected power curves corresponding to the supporting power sources.

[0051] In this embodiment, the daily fluctuation deviation curve of the supporting power supply is calculated at a granularity of 96 points, so that each supporting power supply market player can adjust subsequent trading behaviors with a more accurate deviation curve.

[0052] In this embodiment, the plan execution curves corresponding to the several supporting power sources include a medium- and long-term supporting power source scheduling plan execution curve, a medium- and long-term non-supporting power source scheduling plan execution curve, a cross-regional spot plan execution curve and a cross-regional emergency scheduling plan execution curve.

[0053] It should be pointed out that the fluctuation deviation curve is also the curve composed of fluctuation deviation electricity. The fluctuation deviation electricity refers to the deviation between the dispatching plan curve and the gateway metering electricity caused by uncontrollable reasons such as inter-regional and inter-provincial transmission channels, supporting power sources and other inter-regional and inter-provincial power sources, and normal power fluctuations between dispatching control points and metering points, as well as AC interconnection lines.

[0054] Step S12: Determine a daily fluctuation deviation cost curve based on the daily fluctuation deviation curve and the electric power price curve, and obtain a monthly fluctuation deviation cost curve based on the daily fluctuation deviation cost curve, so that a single supporting power source can regulate power supply based on the monthly fluctuation deviation cost curve to ensure a balance between power supply and demand; wherein, the electricity prices in different time periods in the electric power price curve are the same or different.

[0055] In this embodiment, the electricity prices at different times of the day are the same or different, and the electricity prices on different days may also be different; the electricity price curve counts the electricity prices at various times of the day, making the calculation of the deviation cost more accurate.

[0056] It should be pointed out that the electricity market adopts time-based electricity prices, and the electricity prices in each time period vary greatly. Peak, valley and flat time refers to the power company dividing a day into different time periods according to different electricity demand, so as to determine the electricity price in different time periods. Peak time usually refers to the time period with the highest electricity demand in a day, which is generally concentrated in the peak time during the day, such as the busy time in the morning and afternoon. The valley period is the period with lower electricity demand, which is generally reflected in the late night and early morning. The flat period is between the peak period and the valley period, and the electricity demand is relatively stable. This system of different electricity prices corresponding to different time periods aims to better balance the supply and demand of electricity and promote the efficient use of energy. In this application, a 96-point daily fluctuation deviation curve of the supporting power supply is calculated. If a certain moment in the curve is greater than zero, it means that the supporting power generation entity is over-generated at the current moment, and the settlement party needs to compensate the supporting power supply for the cost. If a certain moment in the curve is less than zero, it means that the supporting power supply is under-generated at the current point and needs to be punished. The electricity prices in different time periods vary greatly, and over-generation is not necessarily profitable, but may be a loss. For example, during the valley period, the supporting power source generates excessive electricity (the electricity demand is low during this period, and excessive electricity generation is a waste of resources). The current on-grid price may be lower than its power generation cost, so the supporting power source is at a loss. The present invention calculates the 96-point daily fluctuation deviation curve and then calculates the deviation cost curve based on the electricity price curve. The deviation at each moment affects the income of the supporting power source. Then the supporting power source will pay attention to its power generation at each moment and try to reduce its power generation component. It can better balance the supply and demand of electricity and promote the efficient use of energy.

[0057] In this embodiment, the daily fluctuation deviation cost curve is determined based on the daily fluctuation deviation curve and the daily electricity price curve, including: calculating the ratio of the supporting power supply trading contract plan quantity to the supporting power supply TMR collected power quantity at each point in the day based on the supporting power supply trading contract plan curve corresponding to each supporting power supply and the supporting power supply TMR collected power curve to obtain the target percentage at each point in the day; using the first electricity price calculation scheme, and calculating the electricity value of the point where the target percentage is greater than the preset percentage based on the daily fluctuation deviation curve and the daily electricity price curve; using the second electricity price calculation scheme, and calculating the electricity value of the point where the target percentage is not greater than the preset percentage based on the daily fluctuation deviation curve and the daily electricity price curve; and determining the daily fluctuation deviation cost curve based on all the electricity values.

[0058] It should be pointed out that the supporting power supply transaction contract plan curve is the supporting power supply transaction contract plan curve of a single supporting power supply extracted from the transaction contract data curves corresponding to the several supporting power supplies; correspondingly, the supporting power supply TMR acquisition power curve is also the supporting power supply TMR acquisition power curve of a single supporting power supply extracted from the TMR acquisition power curves corresponding to the several supporting power supplies; the transaction contract data curve corresponding to the several supporting power supplies is provided by the transaction contract management module, and each transaction contract curve is participated by multiple power generation entities including the current supporting power supply;

[0059] It should be noted that the preset percentage is set according to actual conditions, and in a specific embodiment it may be 80%.

[0060] It should be pointed out that the first electricity price calculation scheme is as follows: When the percentage value is greater than 80%. The electricity price mechanism used at each moment: (1) When there is a declared electricity price at the current moment and the electricity price is not equal to zero, the daily integrated electricity price mentioned above is used. (2) When the electricity price at a certain moment is zero or the electricity price is not declared, it is necessary to judge the curve electricity volume at the current time. When the electricity volume is negative, the direct transaction average price mentioned above is used. When the electricity volume is positive, the benchmark electricity price K times is used. The second electricity price calculation scheme is as follows: When the percentage value is less than 80%. When the electricity volume at a certain moment in the curve is less than zero, the direct transaction average price is used. When the electricity volume is greater than or equal to zero, the benchmark electricity price K times is used. The prices involved in the above content are all prices agreed upon by the province to which the current supporting power source belongs.

[0061] It can be seen that the present application constructs a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source based on the plan execution curve and the TMR collected power curve corresponding to several supporting power sources; determines the daily fluctuation deviation cost curve based on the daily fluctuation deviation curve and the electric power price curve, and obtains the monthly fluctuation deviation cost curve based on the daily fluctuation deviation cost curve, so that a single supporting power source can regulate the power supply based on the monthly fluctuation deviation cost curve to ensure the balance of power supply and demand; wherein the electricity prices in different time periods in the electric power price curve are the same or different. It can be seen that the present application calculates the daily fluctuation deviation curve, the daily fluctuation deviation cost curve and the monthly fluctuation deviation cost curve in the form of a 96-point curve, clarifies the electricity quantity deviation and cost deviation at each point in the day, rather than only having a total electricity quantity deviation and total cost deviation for each day, and the data is more refined, so it is beneficial for the supporting power source to more finely regulate the power supply at each point in the day to ensure the balance of power supply and demand.

[0062] The embodiment of the present application discloses a specific method for balancing power supply and demand. Compared with the previous embodiment, this embodiment further explains and optimizes the technical solution. Figure 2 As shown, specifically including:

[0063] Step S21: construct a DC bottom-line component settlement curve corresponding to a plurality of supporting power sources according to a plurality of plan execution curves and TMR collected power curves, and adjust the DC bottom-line component settlement curve to a 96-point settlement curve.

[0064] In this embodiment, the DC bottom-line component settlement curve corresponding to several supporting power sources is constructed according to several plan execution curves and TMR collected power curves, including: calculating the sum of the medium- and long-term supporting power scheduling plan execution curve, the medium- and long-term non-supporting power scheduling plan execution curve, the cross-regional spot plan execution curve and the cross-regional emergency scheduling plan execution curve to obtain the DC plan execution curve, and calculating the difference between the TMR collected power curve and the DC plan execution curve to obtain the DC fluctuation deviation curve; determining the supporting power total curve from the medium- and long-term supporting power scheduling plan execution curve, and calculating the difference between the supporting power total curve and the medium- and long-term non-supporting power scheduling plan execution curve to obtain the DC bottom-line component plan curve; calculating the sum of the DC bottom-line component plan curve and the DC fluctuation deviation curve to obtain the DC bottom-line component settlement curve corresponding to several supporting power sources.

[0065] It should be pointed out that the DC guarantee component plan curve is a medium- and long-term annual transaction plan curve. Currently, all cross-regional DC supporting power sources are involved in this transaction, and the transaction volume is relatively large.

[0066] It should be pointed out that the process of adjusting the DC bottom-line component settlement curve to a 96-point settlement curve is not elaborated in detail here.

[0067] Step S22: Based on the 96-point settlement curve, determine the target cross-regional DC supporting power supply medium- and long-term plan execution curve and the target DC bottom-line component settlement curve whose point values ​​are not negative.

[0068] In this embodiment, since the fluctuation deviation curve may be a negative value at certain moments, the DC bottom-up component planned power plus the fluctuation deviation power at certain moments may still be a negative value. At this time, the negative deviation of the DC bottom-up component needs to be allocated to other planned curves of the supporting power supply (the medium- and long-term plan execution curve of the inter-regional DC supporting power supply). If the value of each point of the DC bottom-up component settlement curve is greater than zero, there is no need to adjust the other planned curves of the supporting power supply. Specifically, the determination of the target inter-regional DC supporting power supply medium- and long-term plan execution curve and the target DC bottom-up component settlement curve whose point values ​​are not negative based on the 96-point settlement curve includes: judging whether there are negative values ​​at each point in the 96-point settlement curve; if not, directly using the 96-point settlement curve and the medium- and long-term plan execution curve of the inter-regional DC supporting power supply as the target DC bottom-up component settlement curve and the target inter-regional DC supporting power supply medium- and long-term plan execution curve respectively; if so, adjusting the 96-point settlement curve based on the medium- and long-term plan execution curve of the inter-regional DC supporting power supply to obtain the target inter-regional DC supporting power supply medium- and long-term plan execution curve and the target DC bottom-up component settlement curve whose point values ​​are not negative.

[0069] It should be pointed out that during the adjustment, the monthly plan execution curve of the supporting power supply is given priority to participate in the adjustment, and then the monthly and annual periods are considered, and finally the adjusted DC bottom-line component settlement curve and the adjusted supporting power supply plan curve are obtained, that is, the target cross-regional DC supporting power supply medium- and long-term plan execution curve and the target DC bottom-line component settlement curve whose point values ​​are not negative. Specifically, the adjusting the 96-point settlement curve based on the medium- and long-term plan execution curve of the inter-regional DC supporting power supply to obtain the target medium- and long-term plan execution curve of the inter-regional DC supporting power supply and the target DC bottom-line component settlement curve whose point values ​​are not negative includes: according to the preset plan priority rule, and using the medium- and long-term plan execution curve of the inter-regional DC supporting power supply to apportion the negative values ​​in the 96-point settlement curve to obtain the target medium- and long-term plan execution curve of the inter-regional DC supporting power supply and the target DC bottom-line component settlement curve whose point values ​​are not negative; wherein the medium- and long-term plan execution curve of the inter-regional DC supporting power supply includes a monthly plan execution curve, a monthly plan execution curve and an annual plan execution curve; the preset plan priority rule is to apportion the negative values ​​in the order of the monthly plan execution curve, the monthly plan execution curve and the annual plan execution curve.

[0070] It should be pointed out that the specific explanation of the above-mentioned adjustment is as follows: The adjustment here refers to the DC bottom-line component settlement curve = DC bottom-line component plan curve + DC fluctuation deviation curve + selected supporting power supply monthly plan execution curve. When one or more monthly plan execution curves are adjusted, if none of the 96 points of the DC bottom-line component settlement curve is negative, no further adjustment is required. If a certain point of the DC bottom-line component settlement curve still has a negative value, select the monthly or annual curve for adjustment (that is, if the negative value cannot be adjusted to a non-negative value within the month, then use the monthly plan adjustment next. If it still doesn’t work, continue to use the annual plan adjustment). The medium- and long-term plan execution curve for the cross-regional DC supporting power supply has changed here, so the changed target cross-regional DC supporting power supply medium- and long-term plan execution curve should be used in the future.

[0071] Step S23: Calculate the daily fluctuation deviation curve in the form of a 96-point curve corresponding to each of the supporting power sources based on the target inter-regional DC supporting power source medium- and long-term plan execution curve.

[0072] In this embodiment, the daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source is calculated based on the medium- and long-term plan execution curve of the target cross-regional DC supporting power source, including: determining the actual execution curve based on the supporting power source detail curve; calculating the supporting power supply bottom component settlement curve corresponding to each supporting power source according to the target DC bottom component settlement curve and the proportion of electricity of each supporting power source at each point obtained based on the actual execution curve; based on the supporting power supply bottom component settlement curve corresponding to each supporting power source, the supporting power source TMR power collection curve, the supporting power source peak load plan execution curve and the supporting power source standby market plan execution curve, the daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source is obtained. It should be pointed out that the actual execution curve is obtained by calculating the supporting power source total curve minus the target cross-regional DC supporting power source medium- and long-term plan execution curve.

[0073] In a specific embodiment, the calculation process of the power proportion at a certain point is as follows: at 10:00 on a certain day, the power of the inter-regional DC bottom-line component at the current moment is 1500. On that day, three supporting power sources a, b, and c participated in the plan execution. The total power of the actual plan execution curve of the supporting power sources at 10:00 on that day was (a+b+c), so the power of the bottom-line component curve of the supporting power source a at 10:00 was (a+b+c) / a×1500.

[0074] It should be pointed out that, based on the supporting power supply bottom-line component settlement curve, the supporting power supply TMR collection power curve, the supporting power supply peak-shaving plan execution curve and the supporting power supply standby market plan execution curve corresponding to each of the supporting power supplies, a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each of the supporting power supplies is obtained. Specifically, the daily fluctuation deviation curve in the form of a 96-point curve corresponding to the supporting power supply is obtained by subtracting the supporting power supply peak-shaving plan execution curve, the supporting power supply standby market plan execution curve, the supporting power supply bottom-line component settlement curve and the target cross-regional DC supporting power supply medium- and long-term plan execution curve from the supporting power supply TMR collection power curve.

[0075] It should be pointed out that the calculation between the above curves is also the calculation between corresponding points in the curves.

[0076] It should be pointed out that the peak-shaving plan execution curves and backup market plan execution curves corresponding to several supporting power sources are collected in advance, and then the supporting power source peak-shaving plan execution curve and supporting power source backup market plan execution curve corresponding to each supporting power source are determined from the peak-shaving plan execution curves and backup market plan execution curves corresponding to several supporting power sources.

[0077] Step S24: Determine a daily fluctuation deviation cost curve based on the daily fluctuation deviation curve and the electric power price curve, and obtain a monthly fluctuation deviation cost curve based on the daily fluctuation deviation cost curve, so that a single supporting power source can regulate power supply based on the monthly fluctuation deviation cost curve to ensure a balance between power supply and demand; wherein, the electricity prices in different time periods in the electric power price curve are the same or different.

[0078] It can be seen that the present application constructs a DC bottom-line component settlement curve corresponding to several supporting power sources based on several plan execution curves and TMR collected power curves, and adjusts the DC bottom-line component settlement curve to a 96-point settlement curve; based on the 96-point settlement curve, the target cross-regional DC supporting power source medium- and long-term plan execution curve and the target DC bottom-line component settlement curve whose point values ​​are not negative are determined; based on the target cross-regional DC supporting power source medium- and long-term plan execution curve, the daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source is calculated; based on the daily fluctuation deviation curve and the electric power price curve, the daily fluctuation deviation cost curve is determined, and the monthly fluctuation deviation cost curve is obtained based on the daily fluctuation deviation cost curve, so that a single supporting power source can regulate power supply based on the monthly fluctuation deviation cost curve to ensure the balance of power supply and demand; wherein, the electricity prices in different time periods in the electric power price curve are the same or different. It can be seen that the present application specifically discloses a method for constructing a daily fluctuation deviation curve in the form of a 96-point curve.

[0079] See also Figure 3As shown, it is a schematic diagram of a daily fluctuation deviation curve construction process; the figure shows that the DC plan execution curve is obtained based on the medium- and long-term supporting power supply scheduling plan execution curve, the medium- and long-term non-supporting power supply scheduling plan execution curve, the cross-regional spot plan execution curve and the cross-regional emergency scheduling plan execution curve; the DC bottom component plan curve is obtained based on the medium- and long-term supporting power supply scheduling plan execution curve and the medium- and long-term non-supporting power supply scheduling plan execution curve; the DC plan execution curve and the TMR collected power curve (the verified TMR collected power curve) are used to obtain the DC fluctuation deviation curve; the DC bottom component settlement curve is obtained based on the DC fluctuation deviation curve and the DC bottom component plan curve, and then it is determined whether there is a negative value in the 96-point settlement curve corresponding to the DC bottom component settlement curve. If so, the 96-point settlement curve is adjusted, and if not, no adjustment is made. The adjusted and unadjusted curves are both called target DC bottom component settlement curves. line, determine the supporting power supply DC bottom component settlement curve of a single supporting power supply based on the target DC bottom component settlement curve and the actual execution curve, (wherein, the actual execution curve is obtained based on the supporting power supply curve through cross-regional DC (supporting power supply detailed curve) and the supporting power supply total curve, wherein the supporting power supply curve through cross-regional DC and the supporting power supply total curve are obtained based on the medium- and long-term supporting power supply scheduling plan execution curve of each supporting power supply, wherein the medium- and long-term supporting power supply scheduling plan execution curve of each supporting power supply includes the supporting power supply annual transaction plan execution curve, the supporting power supply monthly transaction plan execution curve, and the supporting power supply intra-month transaction plan execution curve, and the above adjustment is adjusted in turn using intra-month, monthly and annual); finally, the supporting power supply daily fluctuation deviation curve is obtained based on the supporting power supply DC bottom component settlement curve, the supporting power supply peak load plan execution curve and the supporting power supply standby market plan execution curve.

[0080] Accordingly, the present application also discloses a power supply and demand balancing device, see Figure 4 As shown, the device comprises:

[0081] The deviation curve construction module 11 is used to construct a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each of the supporting power sources according to the plan execution curves and TMR collected power curves corresponding to the supporting power sources;

[0082] The deviation cost curve determination module 12 is used to determine the daily fluctuation deviation cost curve based on the daily fluctuation deviation curve and the electric power price curve, and obtain the monthly fluctuation deviation cost curve based on the daily fluctuation deviation cost curve, so that a single supporting power source can regulate the power supply based on the monthly fluctuation deviation cost curve to ensure the balance of power supply and demand; wherein the electricity prices in different time periods in the electric power price curve are the same or different.

[0083] Among them, the more specific working process of each of the above modules can refer to the corresponding content disclosed in the above embodiments, which will not be repeated here.

[0084] It can be seen that the present application constructs a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source based on the plan execution curve and the TMR collected power curve corresponding to several supporting power sources; determines the daily fluctuation deviation cost curve based on the daily fluctuation deviation curve and the electric power price curve, and obtains the monthly fluctuation deviation cost curve based on the daily fluctuation deviation cost curve, so that a single supporting power source can regulate the power supply based on the monthly fluctuation deviation cost curve to ensure the balance of power supply and demand; wherein the electricity prices in different time periods in the electric power price curve are the same or different. It can be seen that the present application calculates the daily fluctuation deviation curve, the daily fluctuation deviation cost curve and the monthly fluctuation deviation cost curve in the form of a 96-point curve, clarifies the electricity quantity deviation and cost deviation at each point in the day, rather than only having a total electricity quantity deviation and total cost deviation for each day, and the data is more refined, so it is beneficial for the supporting power source to more finely regulate the power supply at each point in the day to ensure the balance of power supply and demand.

[0085] Furthermore, an embodiment of the present application also provides an electronic device. Figure 5 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram cannot be regarded as any limitation on the scope of use of the present application.

[0086] Figure 5 A schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a display screen 23, an input / output interface 24, a communication interface 25, a power supply 26, and a communication bus 27. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the power supply and demand balancing method disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0087] In this embodiment, the power supply 26 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 25 can create a data transmission channel between the electronic device 20 and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 24 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0088] In addition, the memory 22, as a carrier for storing resources, may be a read-only memory, a random access memory, a disk or an optical disk, etc., and the resources stored thereon may include a computer program 221, and the storage method may be temporary storage or permanent storage. In addition to including a computer program that can be used to complete the power supply and demand balancing method performed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 221 may further include a computer program that can be used to complete other specific tasks.

[0089] Furthermore, an embodiment of the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the aforementioned disclosed method for balancing power supply and demand is implemented.

[0090] The specific steps of the method can refer to the corresponding contents disclosed in the above embodiments, which will not be repeated here.

[0091] The various embodiments in this application are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0092] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0093] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0094] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0095] The above is a detailed introduction to the power supply and demand balancing method, device, equipment, and storage medium provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for balancing power supply and demand, characterized in that: include: According to the plan execution curves and TMR power collection curves corresponding to the several supporting power sources, a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source is constructed; A daily fluctuation deviation cost curve is determined based on the daily fluctuation deviation curve and the electric power price curve, and a monthly fluctuation deviation cost curve is obtained based on the daily fluctuation deviation cost curve, so that a single supporting power source regulates power supply based on the monthly fluctuation deviation cost curve to ensure a balance between power supply and demand; wherein, the electricity prices in different time periods in the electric power price curve are the same or different.

2. The method for balancing power supply and demand according to claim 1, characterized in that: The daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source is constructed according to the plan execution curve corresponding to a plurality of supporting power sources and the TMR collected power curve, including: Constructing a DC bottom-line component settlement curve corresponding to a plurality of supporting power sources according to a plurality of plan execution curves and TMR collected power curves, and adjusting the DC bottom-line component settlement curve to a 96-point settlement curve; Based on the 96-point settlement curve, determine the target cross-regional DC supporting power supply medium- and long-term plan execution curve and the target DC bottom-line component settlement curve with non-negative values ​​at each point; Based on the medium- and long-term plan execution curve of the target inter-regional DC supporting power supply, a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power supply is calculated.

3. The method for balancing power supply and demand according to claim 2, characterized in that: The DC bottom-line component settlement curve corresponding to a plurality of supporting power sources is constructed according to a plurality of plan execution curves and TMR collected power curves, including: The sum of the medium- and long-term supporting power supply dispatching plan execution curve, the medium- and long-term non-supporting power supply dispatching plan execution curve, the cross-regional spot plan execution curve and the cross-regional emergency dispatching plan execution curve is calculated to obtain the DC plan execution curve, and the difference between the TMR collected power curve and the DC plan execution curve is calculated to obtain the DC fluctuation deviation curve; Determine the supporting power source total curve from the medium- and long-term supporting power source dispatch plan execution curve, and calculate the difference between the supporting power source total curve and the medium- and long-term non-supporting power source dispatch plan execution curve to obtain a DC bottom-up component plan curve; The sum of the DC bottom-line component planning curve and the DC fluctuation deviation curve is calculated to obtain a DC bottom-line component settlement curve corresponding to several supporting power sources.

4. The method for balancing power supply and demand according to claim 2, characterized in that: The target inter-regional DC supporting power supply medium- and long-term plan execution curve and the target DC bottom-line component settlement curve whose values ​​at each point are not negative are determined based on the 96-point settlement curve, including: Determine whether any point in the 96-point settlement curve has a negative value; If it does not exist, the 96-point settlement curve and the medium- and long-term plan execution curve of the inter-regional DC supporting power supply will be directly used as the target DC bottom-line component settlement curve and the target inter-regional DC supporting power supply medium- and long-term plan execution curve respectively; If it exists, the 96-point settlement curve is adjusted based on the medium- and long-term plan execution curve of the inter-regional DC supporting power supply to obtain the target medium- and long-term plan execution curve of the inter-regional DC supporting power supply and the target DC bottom-line component settlement curve whose point values ​​are not negative.

5. The method for balancing power supply and demand according to claim 4, characterized in that: The adjusting the 96-point settlement curve based on the medium- and long-term plan execution curve of the inter-regional DC supporting power supply to obtain the target medium- and long-term plan execution curve of the inter-regional DC supporting power supply and the target DC bottom-line component settlement curve whose point values ​​are not negative includes: According to the preset plan priority rules, the negative values ​​in the 96-point settlement curve are apportioned using the medium- and long-term plan execution curve of the inter-regional DC supporting power supply to obtain the target medium- and long-term plan execution curve of the inter-regional DC supporting power supply and the target DC bottom-line component settlement curve whose point values ​​are not negative; Among them, the medium- and long-term plan execution curve of the cross-regional DC supporting power supply includes a monthly plan execution curve, a monthly plan execution curve and an annual plan execution curve; the preset plan priority rule is to allocate the monthly plan execution curve, the monthly plan execution curve and the annual plan execution curve in sequence.

6. The method for balancing power supply and demand according to claim 2, characterized in that: The daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power source is calculated based on the medium- and long-term plan execution curve of the target inter-regional DC supporting power source, including: Determine the actual execution curve based on the matching power supply detailed curve; According to the target DC bottom-line component settlement curve and the proportion of electricity of each supporting power source at each point obtained based on the actual execution curve, a supporting power supply bottom-line component settlement curve corresponding to each supporting power source is calculated; Based on the supporting power supply bottom-line component settlement curve corresponding to each supporting power supply, the supporting power supply TMR power collection curve, the supporting power supply peak load plan execution curve and the supporting power supply backup market plan execution curve, a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each supporting power supply is obtained.

7. The method for balancing power supply and demand according to claim 1, characterized in that: Determining the daily fluctuation deviation cost curve based on the daily fluctuation deviation curve and the electric power price curve includes: Based on the supporting power supply transaction contract plan curve corresponding to each supporting power supply and the supporting power supply TMR collection power curve, the ratio of the supporting power supply transaction contract plan amount to the supporting power supply TMR collection power amount at each point in the day is calculated to obtain the target percentage at each point in the day; Using a first electricity price calculation scheme, and based on the daily fluctuation deviation curve and the daily electricity price curve, calculating the electricity value of the point where the target percentage is greater than a preset percentage; Using a second electricity price calculation scheme, and based on the daily fluctuation deviation curve and the daily electricity price curve, calculating the electricity value of the point where the target percentage is not greater than a preset percentage; A daily fluctuation deviation cost curve is determined based on all of the electricity values.

8. A power supply and demand balancing device, characterized in that: include: A deviation curve construction module is used to construct a daily fluctuation deviation curve in the form of a 96-point curve corresponding to each of the supporting power sources according to the plan execution curves and TMR collected power curves corresponding to the supporting power sources; A deviation cost curve determination module is used to determine a daily fluctuation deviation cost curve based on the daily fluctuation deviation curve and the electric power price curve, and to obtain a monthly fluctuation deviation cost curve based on the daily fluctuation deviation cost curve, so that a single supporting power source can regulate power supply based on the monthly fluctuation deviation cost curve to ensure a balance between power supply and demand; wherein the electricity prices in different time periods in the electric power price curve are the same or different.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the method for balancing power supply and demand as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store a computer program; wherein, when the computer program is executed by a processor, the method for balancing power supply and demand as described in any one of claims 1 to 7 is implemented.

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