Load prediction method and device and readable storage medium

Abstract

The embodiment of the invention provides a load prediction method and device, and a readable storage medium. An electronic device predicts a load plan of a power utilization facility in a target time period, determines a power grid power receiving peak-valley difference rate of the power utilization facility, and determines a natural peak-valley difference rate according to the load plan. And when the power receiving peak-valley difference rate of the power grid is greater than the natural peak-valley difference rate, determining a target strategy from the strategy set, and determining a target plan and a peak regulation identifier of the power utilization facility in a target time period according to the target strategy. By adopting the scheme, when the power grid power receiving peak-valley difference rate of the power utilization facility is greater than the natural peak-valley difference rate of the power utilization facility, the target strategy is selected from multiple strategies, the load plan is adjusted to the target plan according to the target strategy, the peak regulation identifier is determined, and the power utilization facility is controlled according to the peak regulation identifier and the target plan in the subsequent target time period. The purpose of reducing the pressure of peak regulation of the public network is achieved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of source-grid-load-storage technology, and in particular to a load forecasting method, device, and readable storage medium. Background Art

[0002] The source-grid-load-storage integration project refers to the deep integration of power source (source), power grid (grid), load (load), and energy storage (storage) through technical collaboration, intelligent regulation and market-oriented mechanisms to form a dynamically balanced and efficient interactive overall system.

[0003] Typically, power sources in a source-grid-load-storage project include the public grid and renewable energy sources. To reduce peak-shaving pressure on the public grid, the peak-to-valley difference in power received by the load equipment in the source-grid-load-storage project must be smaller than the natural peak-to-valley difference.

[0004] However, when the peak-to-valley difference in power supply to load equipment is greater than the natural peak-to-valley difference in power equipment, the industry has not proposed an effective response method, resulting in increased peak-to-valley pressure on the public power grid. Summary of the Invention

[0005] The embodiments of the present application provide a load forecasting method, device, and readable storage medium. When the peak-to-valley difference rate of the power grid power supply of a power-consuming facility is greater than the natural peak-to-valley difference rate of the power-consuming facility, a target strategy is selected from multiple strategies, and the load plan is adjusted to the target plan according to the target strategy, thereby achieving the purpose of reducing the pressure of peak regulation of the public grid.

[0006] In a first aspect, an embodiment of the present application provides a load forecasting method, applied to an electronic device, the method comprising:

[0007] Predict the load plan of power facilities within the target time period;

[0008] Determine the natural peak-to-valley difference rate of the power consuming facility and the peak-to-valley difference rate of the power grid receiving power of the power consuming facility according to the load plan;

[0009] When the peak-to-valley difference rate of the power grid is greater than the natural peak-to-valley difference rate, determining a target strategy according to a strategy set;

[0010] The target plan and peak-shaving identifier of the power consuming facility within the target time period are determined according to the target strategy, and the peak-shaving identifier is used to indicate whether the power consuming facility maintains the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate within the target time period.

[0011] In a second aspect, an embodiment of the present application provides a load forecasting device, comprising:

[0012] Prediction module, predicting the load plan of power facilities within the target time period;

[0013] A determination module, which determines the natural peak-to-valley difference rate of the power facility and the peak-to-valley difference rate of the power grid received by the power facility according to the load plan;

[0014] A strategy module, when the peak-to-valley difference rate of the power grid is greater than the natural peak-to-valley difference rate, determines a target strategy according to a strategy set;

[0015] A processing module determines the target plan and peak-shaving identifier of the power consuming facility within the target time period according to the target strategy, and the peak-shaving identifier is used to indicate whether the power consuming facility maintains the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate within the target time period.

[0016] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor, a memory, and a computer program stored in the memory and runnable on the processor, wherein when the processor executes the computer program, the electronic device implements the method described in the first aspect or various possible implementation methods of the first aspect.

[0017] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer instructions are stored. When the computer instructions are executed by a processor, they are used to implement the method described in the first aspect or various possible implementation methods of the first aspect.

[0018] In a fifth aspect, an embodiment of the present application provides a computer program product comprising a computing program, which, when executed by a processor, implements the method described in the first aspect or various possible implementations of the first aspect.

[0019] The load forecasting method, device and readable storage medium provided in the embodiments of the present application, the electronic device predicts the load plan of the power facility within the target time period, determines the peak-to-valley difference rate of the power grid received by the power facility and determines the natural peak-to-valley difference rate based on the load plan. When the peak-to-valley difference rate of the power grid received by the power facility is greater than the natural peak-to-valley difference rate, a target strategy is determined from a strategy set, and the target plan and peak-shaving identifier of the power facility within the target time period are determined based on the target strategy. With this scheme, when the peak-to-valley difference rate of the power grid received by the power facility is greater than the natural peak-to-valley difference rate of the power facility, a target strategy is selected from a plurality of strategies, the load plan is adjusted to a target plan based on the target strategy and the peak-shaving identifier is determined, and the power facility is controlled based on the peak-shaving identifier and the target plan in the subsequent target time period, thereby achieving the purpose of reducing the pressure of peak-shaving on the public network. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0021] Figure 1 is a flow chart of the load forecasting method provided in an embodiment of the present application;

[0022] Figure 2A is a schematic diagram of a load plan in a load forecasting method provided in an embodiment of the present application;

[0023] Figure 2B It is a power curve diagram of the public grid power supply in the load forecasting method provided in the embodiment of the present application;

[0024] Figure 2C is another power curve diagram of the public grid power supply in the load forecasting method provided in the embodiment of the present application;

[0025] Figure 3 This is a schematic diagram of purchasing additional grid electricity in the load forecasting method provided in an embodiment of the present application;

[0026] Figure 4 This is a process diagram of the day-ahead prediction stage in the load forecasting method provided in an embodiment of the present application;

[0027] Figure 5 This is a process diagram of the intraday load distribution stage in the load forecasting method provided in an embodiment of the present application;

[0028] Figure 6 A schematic diagram of a load forecasting device provided in an embodiment of the present application;

[0029] Figure 7 It is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] In the context of a power-grid-load-storage (G-LSS) project, the power sources include the public grid and renewable energy sources, with renewable energy often comprising a high percentage, such as 60%, 70%, or even more. However, due to the intermittent and fluctuating nature of renewable energy, the load devices in a G-LSS project inevitably require power from the public grid. To reduce the peak-shaving pressure on the public grid, the peak-to-valley difference in power received by the load devices must be less than their natural peak-to-valley difference. When the load devices in a G-LSS project meet this requirement, they are considered to have met the peak-shaving assessment. However, when load devices do not meet the peak-shaving assessment, the industry has not yet implemented effective countermeasures.

[0031] Based on this, an embodiment of the present application provides a load forecasting method, device and readable storage medium. When the peak-to-valley difference rate of the power grid power supply of the power consuming facility is greater than the natural peak-to-valley difference rate of the power consuming facility, a target strategy is selected from multiple strategies, and the load plan is adjusted to a target plan according to the target strategy and a peak-shaving identifier is determined. During the subsequent target time period, the power consuming facility is controlled according to the peak-shaving identifier and the target plan to achieve the purpose of reducing the pressure of peak-shaving on the public grid.

[0032] Typically, when a new power-grid-load-storage project is launched, the load in the newly launched power-grid-load-storage project is also referred to as newly added load. Furthermore, when an existing power-grid-load-storage project is improved by adding new load equipment, a new power-grid-load-storage project is created. These newly added loads are either not yet registered with the grid company or have been registered but power supply construction has not yet commenced. Furthermore, some countries encourage green substitution, and existing electricity projects that are interchangeable with grid companies are also referred to as newly added loads.

[0033] Before new loads are commissioned, a load forecast is conducted to determine whether the new load meets the peak-shaving requirements. If the requirements are not met, a target strategy is implemented to adjust the load plan, thereby reducing the peak-shaving pressure on the public grid. Furthermore, for existing source-grid-load-storage projects, a load forecast should also be conducted before commissioning, and the forecast results should be used to determine whether the load meets the peak-shaving requirements.

[0034] In the embodiments of this application, the "load" in the source-grid-load-storage project refers to the electricity-consuming facilities, which are also referred to as power-using equipment, loads, or load devices. The "source" in the source-grid-load-storage project includes the public power grid and renewable energy sources. Renewable energy sources include, but are not limited to, wind farms, photovoltaic power stations, and tidal power stations.

[0035] The executing entity of the embodiment of the present application is an electronic device, such as a server, desktop computer, laptop, etc. The electronic device establishes a network connection with the power supply, power facilities, power grid, energy storage equipment, etc. in the source-grid-load-storage project, and can perform load forecasting on the power facilities.

[0036] In the embodiment of the present application, the electrical facilities are high-energy-consuming equipment, including but not limited to data centers, ore-fired furnaces, refrigeration equipment, pump equipment, boilers, etc., and ore-fired furnaces include but are not limited to manganese silicon ore-fired furnaces, ferrosilicon ore-fired furnaces, etc.

[0037] Next, based on the above-mentioned power facilities, power sources, etc., the load forecasting method described in the embodiment of the present application is described in detail. For example, please refer to Figure 1 .

[0038] Figure 1 This is a flow chart of the load forecasting method provided by an embodiment of the present application. The execution subject of this embodiment is an electronic device, and this embodiment includes:

[0039] 101. Predict the load plan of power facilities within the target time period.

[0040] In the embodiments of the present application, load forecasting refers to predicting the power consumption of power facilities over a period of time in the future. For example, the power consumption of power facilities can be predicted at each time point in the next three days. Another example is predicting the power consumption of power facilities at 6:00 PM on the 23rd at each time point on the 24th.

[0041] In the embodiments of this application, the target time period is the time period for which load forecasting is required. The duration can be 24 hours, 12 hours, etc., and this embodiment of the application is not limited thereto. For example, the target time period is from 12:00 AM to 12:00 AM on the 20th, i.e., the entire day of the 20th. A load plan is a load curve that indicates the power consumption of the power facilities at each time point within the target time period.

[0042] Electronic devices pre-model the electrical equipment to create a load model. This load model indicates how the load on the electrical facility changes over time, the environment, and user behavior. Using this load model, the electronic device can predict the load plan for the electrical facility within a target time period. While predicting the load plan, the electronic device also estimates the usage of various energy types, such as wind power and grid power, at each point in time during the target time period.

[0043] 102. Determine the natural peak-to-valley rate of the power-consuming facility and the peak-to-valley rate of power received by the power grid of the power-consuming facility according to the load plan.

[0044] In the embodiment of the present application, the natural peak-to-valley difference rate refers to the ratio of the difference between the peak value and the valley value of the power of the power facility to the maximum power within the target time period. Figure 2A .

[0045] Figure 2A This is a schematic diagram of the load plan in the load forecasting method provided in the embodiment of this application. Figure 2A , the peak power of the power facility is 180 MW, and the peak-valley power is 30 MW. Therefore, the natural peak-valley difference rate of the power facility is (180-30) / 180=83.33%.

[0046] In the embodiment of the present application, the peak-to-valley difference rate of power received by the power grid refers to the ratio of the difference between the peak value and the valley value of the power received by the power-consuming facility from the public grid at each time point in the target time period to the maximum power. For example, please refer to Figure 2B and Figure 2C .

[0047] Figure 2B This is a power curve diagram of the public grid power supply in the load forecasting method provided in the embodiment of this application. Please refer to Figure 2BThe peak power of the power grid received by the power utility is 90 MW, and the peak-valley power is 30 MW. Therefore, the peak-valley difference of the power grid received by the power utility is (90-30) / 90=66.67%. Figure 2B In the figure, the solid line curve is the load plan of the power consuming facilities, and the dotted line curve is the power curve of the power consuming facilities received from the public grid.

[0048] Figure 2C This is another power curve diagram of the public grid power supply in the load forecasting method provided in the embodiment of this application. Please refer to Figure 2C The peak power of the power grid received by the power utility is 90 MW, and the peak-valley power is 0 MW. Therefore, the peak-valley difference of the power grid received by the power utility is (90-0) / 90=100%. Figure 2C In the figure, the solid line curve is the load plan of the power consuming facilities, and the dotted line curve is the power curve of the power consuming facilities received from the public grid.

[0049] 103. When the peak-to-valley difference rate of the power grid is greater than the natural peak-to-valley difference rate, determine a target strategy according to a strategy set.

[0050] After the electronic device determines the natural peak-valley difference rate of the power facility and the peak-valley difference rate of the power grid received by the power facility, it compares the natural peak-valley difference rate and the peak-valley difference rate of the power grid received, and judges whether the power facility meets the peak-shaving assessment based on the comparison result. When the peak-valley difference rate of the power grid received is less than or equal to the natural peak-valley difference rate, the electronic device considers that the power facility meets the peak-shaving assessment, for example Figure 2B When the peak-valley difference rate of the power grid is greater than the natural peak-valley difference rate, the electronic equipment believes that the power facilities do not meet the peak load assessment, for example Figure 2C In the meantime, 100%>83.33%.

[0051] When the peak-to-valley difference in grid power consumption exceeds the natural peak-to-valley difference, the electronic device determines a target strategy based on a set of strategies. The strategy set stores multiple strategies. The electronic device flexibly determines the target strategy. For example, a strategy corresponding to each power-consuming facility is pre-set. Based on the correspondence between the power-consuming facility and the strategy, the electronic device can determine the target strategy from the set of strategies. For example, low-priority power-consuming facilities are prioritized for capacity reduction, while high-priority power-consuming facilities are prioritized for additional grid power purchases.

[0052] For example, by pre-setting policies corresponding to time periods, electronic devices can determine their target policies based on the correspondence between target time periods and policies. For example, prioritizing reduced production capacity during the day and increased grid power purchases at night.

[0053] In another example, various policies in the policy set are displayed on the screen of the electronic device for the user to select, and the policy selected by the user is used as the target policy.

[0054] For another example, the electronic device determines the loss value of each strategy and uses the strategy with the smallest loss value as the target strategy.

[0055] 104. Determine a target plan and a peak-shaving identifier for the power consuming facility within the target time period based on the target strategy, wherein the peak-shaving identifier is used to indicate whether the power consuming facility maintains a peak-to-valley difference rate of power received by the power grid less than or equal to the natural peak-to-valley difference rate within the target time period.

[0056] After the electronic device determines the target strategy, it then determines a target plan based on the target strategy. For example, the electronic device may directly use the load plan as the target plan. In another example, the electronic device may adjust the power consumption of the power facilities at each time point within the target time period to obtain an optimized plan, and use the optimized plan as the target plan.

[0057] After receiving a target plan, electronic devices can flexibly use it. For example, electronic devices can predict energy distribution based on the target plan, thereby achieving load-based energy allocation. For another example, if the target time period is the entire day of the 24th, electronic devices can determine the target plan at 11:45 PM on the 23rd and control the power consumption of electrical equipment based on that target plan on the 24th.

[0058] While determining the target plan based on the target strategy, the electronic device also determines a peak shaving flag. This flag indicates whether the power facility needs to maintain peak shaving during the target time period, specifically, whether the power facility needs to maintain the peak-to-valley difference in power received by the power grid less than or equal to the natural peak-to-valley difference. During subsequent target time periods, the peak shaving flag controls whether the power facility maintains peak shaving.

[0059] The load forecasting method provided in the embodiment of the present application is an electronic device that predicts the load plan of the power facilities within the target time period, determines the peak-to-valley difference rate of the power grid received by the power facilities, and determines the natural peak-to-valley difference rate based on the load plan. When the peak-to-valley difference rate of the power grid received by the power facilities is greater than the natural peak-to-valley difference rate, a target strategy is determined from a strategy set, and the target plan and peak-shaving identifier of the power facilities within the target time period are determined based on the target strategy. With this scheme, when the peak-to-valley difference rate of the power grid received by the power facilities is greater than the natural peak-to-valley difference rate of the power facilities, a target strategy is selected from a plurality of strategies, the load plan is adjusted to a target plan based on the target strategy, and the peak-shaving identifier is determined. In the subsequent target time period, the power facilities are controlled based on the peak-shaving identifier and the target plan, thereby achieving the purpose of reducing the pressure of peak-shaving on the public network.

[0060] Optionally, in the above embodiment, when the peak-to-valley rate of power received by the power grid is greater than the natural peak-to-valley rate, in the process of determining the target policy according to the policy set, the electronic device first determines a first loss value corresponding to the first policy, a second loss value corresponding to the second policy, and a third loss value corresponding to the third policy. The electronic device then determines a minimum loss value from the first, second, and third loss values, and determines the target policy with the minimum cost from the policy set based on the minimum loss value. The first, second, and third policies are policies in the policy set. The first policy is for the power user to execute the load plan within the target time period without increasing power received from the public power grid. The second policy is for the power user to execute an optimized plan within the target time period, under which the peak-to-valley rate of power received by the power grid is less than or equal to the natural peak-to-valley rate, and the production capacity corresponding to the optimized plan is lower than the production capacity of the load plan. The third policy is for the power user to execute the load plan within the target time period and increase power received from the public power grid.

[0061] For example, the first strategy, the second strategy, and the third strategy are all response strategies when power facilities do not meet the peak load assessment requirements.

[0062] A. The first strategy.

[0063] The first strategy, also known as accepting a penalty, means failing to comply with the peak load shaving assessment within the target time period. For example, if the target time period is 24 hours, the penalty is accepted on the same day. The first loss value is the penalty amount. When the target strategy is the first strategy, the target plan is the load plan.

[0064] B. The second strategy.

[0065] The second strategy, also known as load adjustment, involves adjusting the load plan to achieve an optimized plan, ensuring that the peak-to-valley difference in power consumption under the optimized plan is less than or equal to the natural peak-to-valley difference, thus meeting the peak-shaving requirement. Because the optimized plan requires less energy than the load plan, the corresponding production capacity of the optimized plan is lower than the load plan's capacity.

[0066] In the embodiment of the present application, meeting the peak-shaving assessment means that the peak-to-valley difference rate of the power grid received by the power consuming facility from the public grid is less than or equal to the natural peak-to-valley difference rate of the power consuming facility. In order to meet the peak-shaving assessment requirements, the smaller the peak-to-valley difference rate of the power grid received, the better, while the larger the natural peak-to-valley difference rate, the better. The smaller the peak-to-valley difference rate of the power grid received, the smaller the difference between the maximum power and the minimum power received by the power consuming facility from the public grid. For example, if the maximum power is 50,000kW and the minimum power is 45,000kW, the peak-to-valley difference rate of the power grid received is: (50,000-45,000) / 50,000=10%, which is at a relatively low level. For another example, if the maximum power is 50,000kW and the minimum power is 10,000kW, the peak-to-valley difference rate of the power grid received is: (50,000-10,000) / 50,000=80%, which is at a relatively high level.

[0067] A larger natural peak-to-valley ratio indicates a larger difference between the maximum and minimum power of the power facility. For example, if the maximum power is 50,000 kW and the minimum power is 0 kW, the natural peak-to-valley ratio is (50,000 - 0) / 50,000 = 100%, ensuring that the natural peak-to-valley ratio is greater than the peak-to-valley ratio of the power grid.

[0068] Therefore, given the peak-to-valley power difference of the power grid and the maximum power of the power consumption facility, the electronic device can determine the minimum power range of the power consumption facility based on the peak-to-valley power difference and the maximum power of the power consumption facility. For example, if the power consumption facilities are two manganese silicon submerged arc furnaces, the peak-to-valley power difference of the power grid is a%, the maximum power of the power consumption facility is 90,000 kW, and the minimum power is x kW, the peak-to-valley power consumption assessment requirements can be obtained as follows: a% ≤ (90,000 - x) / 90,000, x ≤ 90,000 - 900a. In other words, the minimum power of the power consumption facility must be less than or equal to 90,000 - 900a, and it only needs to occur once during the assessment period. When a = 100, the minimum power of the power consumption facility must be 0 kW. The electronic device determines the optimization plan based on the minimum power range.

[0069] Afterwards, the electronic device determines the first production capacity (tons) corresponding to the load plan and the second production capacity (tons) corresponding to the optimization plan, and determines the difference between the first production capacity and the second production capacity, multiplies the difference by the price per ton, and thus obtains the second loss value.

[0070] Optionally, before the electronic device determines the loss value of each strategy, it also determines an optimization plan. The power required for the power facility to execute the load plan at each time point within the target time period is called the first power, and the power provided by the new energy at that time point is called the second power. When the first power is greater than the second power, the electronic device determines the optimization plan based on the second power provided by the new energy at each time point within the target time point. The power sources in the source-grid-load-storage project to which the power facility belongs include the public power grid and the new energy. When the first power is less than or equal to the second power, the electronic device determines the optimization plan based on the load plan and the preset total power.

[0071] For example, in a source-grid-load-storage project, the power sources include the public grid and renewable energy, with renewable energy including wind power generation and tail gas energy. Tail gas energy refers to recyclable secondary energy sources such as waste heat and combustible exhaust gas emitted during industrial production or energy conversion. L1 represents the primary power required by the power facility to execute the load plan at each point in the target time period, "wind + gas" represents the secondary power provided by renewable energy at that point in time, and L1' represents the tertiary power required for the optimized plan at that point in time. The following scenarios may arise:

[0072] Case 1: If L1-(wind+air)>0, then L1'=wind+air;

[0073] In this case, the second power provided by the renewable energy is smaller than the first power required by the load plan, so the optimization plan is determined directly based on the second power provided by the renewable energy.

[0074] Case 2: If L1-(wind+air)≤0, then L1'=L1.

[0075] In this case, the second power provided by renewable energy is greater than the first power required by the load plan, so the load plan is directly used as the optimization plan.

[0076] When production capacity is not considered, the power consumption facilities in the above cases 1 and 2 receive 0 electricity from the public grid. At this time, the peak-to-valley difference rate of the public grid power supply is 0, which must be less than the natural peak-to-valley difference rate, that is, it meets the peak-shaving assessment.

[0077] In addition, to prevent the optimized plan from producing too low a yield, a reference plan can be set. At each point in the target time period, the power required by the reference plan cannot be too low, such as 25,000 kilowatts, 20,000 kilowatts, etc. The power required by the reference plan is referred to as the preset power below. The preset power is the minimum power required to maintain the production capacity of the power facility. The production capacity of the optimized plan cannot be lower than the production capacity of the reference plan. For example, if the preset power required by the reference plan is 25,000 kilowatts, there are several situations when considering the reference plan:

[0078] Case 3: If L1-(wind+air)>0, and (wind+air)>25000, then L1'=wind+air.

[0079] In this case, the power received by the power consuming facilities from the public grid is 0, and the peak-to-valley difference rate of the public grid is 0, which must be smaller than the natural peak-to-valley difference rate, that is, it meets the peak regulation assessment.

[0080] Case 4: If L1-(wind+air)>0, but (wind+air)≤25000, then L1'=25000.

[0081] In this case, the second power provided by renewable energy is smaller than the first power required by the load plan and is also smaller than the preset power required by the reference plan. Therefore, the reference plan is directly used as the optimized plan. Furthermore, the power received by this utility from the public grid ranges from 0 to 25,000 kilowatts, resulting in a 100% peak-to-valley difference in power received from the public grid. Clearly, this peak-to-valley difference must be greater than the natural peak-to-valley difference, meaning it cannot meet the peak-shaving assessment.

[0082] Case 5: If L1-(wind+air)≤0, and L1>25000, then L1'=L1

[0083] In this case, the power received by the power consuming facilities from the public grid is 0, and the peak-to-valley difference rate of the public grid is 0, which must be smaller than the natural peak-to-valley difference rate, that is, it meets the peak regulation assessment.

[0084] Case 6: If L1-(wind+air)≤0, but L1≤25000, then L1'=25000

[0085] In this case, the secondary power provided by renewable energy is greater than the primary power required by the load plan. While the load plan should have been directly optimized, the capacity of the load plan is too low, so the reference plan is used as the optimization plan. Since the reference plan's preset power is at least 25,000 kilowatts, when L1 < wind + gas < 25,000, the power received by the power facilities from the public grid is greater than 0, a positive number. Therefore, the peak-to-valley difference in power received from the public grid is 100%, failing to meet peak load regulation requirements.

[0086] According to the above cases 1 to 6, when the target strategy is the second strategy, the target plan is a load plan, an optimization plan, or a reference plan.

[0087] Using this solution, the electronic equipment determines the optimization plan by combining the first power required by the load plan at each time point in the target time period, the second power that the new energy can provide, and the reference plan, with high accuracy and fast speed.

[0088] In the above embodiment, the first power, second power, etc. at each time point within the target time period are taken into account. However, the embodiments of the present application are not limited thereto. For example, under the premise that the peak-to-valley difference rate of the public power grid remains unchanged, the electronic device determines a minimum power based on the power curve of the power facility receiving power from the public grid. Afterwards, the electronic device determines the time point based on the minimum power, that is, determines the time point corresponding to the minimum power from the power curve of the public power grid. Then, the electronic device adjusts the first power at that time point in the load plan so that the first power is less than the minimum power, thereby using the adjusted load plan as the optimized plan.

[0089] C. The third strategy.

[0090] The third strategy is also known as purchasing additional grid power. The electronic device determines the grid power required for the load plan and the grid power supply provided by the energy source. The difference is subtracted from the grid power supply, and the third loss value is calculated by multiplying this difference by the electricity price.

[0091] Figure 3 This is a schematic diagram of purchasing grid electricity in the load forecasting method provided in the embodiment of this application. Figure 3 The original public grid power curve shows: 0 MW of power at each time point from 0:00 AM to 12:00 PM, and 90 MW at each time point from 12:00 AM to midnight. The peak-to-valley difference in power consumption is (90-0) / 90 = 100%. After purchasing additional grid power, the power consumption at each time point from 0:00 AM to 12:00 PM is 30 MW, and from 12:00 AM to midnight it is 90 MW. The peak-to-valley difference in power consumption is (90-30) / 90 = 66.7%. Assuming the natural peak-to-valley difference is 88.83%, it is clear that after purchasing additional grid power, the peak-to-valley difference in power consumption is less than the natural peak-to-valley difference, and the power facilities meet the peak load regulation assessment requirements.

[0092] When the target strategy is the third strategy, the target plan is the load plan.

[0093] In the above embodiment, after the electronic device determines the first loss value, the second loss value, and the third loss value, in one approach, the strategy corresponding to the minimum loss value among the loss values ​​is automatically used as the target strategy.

[0094] In another approach, an electronic device displays various target strategies and their respective loss values, allowing the user to select a target strategy. This target strategy can be the one with the lowest loss value, or another strategy. This approach utilizes a combined system and human decision-making approach. The system can rapidly process large amounts of data, analyze it using pre-set model rules, and provide objective, data-based recommendations. Human decision-makers can leverage experience to evaluate and adjust the data and recommendations provided by the system, avoiding potential biases or errors. This combination of system and human decision-making can improve decision-making efficiency, enable a more comprehensive assessment of issues, enhance decision accuracy, and ensure flexibility.

[0095] It should be noted that, although the above embodiment is described by taking the policy set including three policies as an example, the embodiment of the present application is not limited thereto, and in other feasible implementations, the policy set may also include more or fewer policies.

[0096] With this solution, the electronic device determines the target strategy from the strategy set according to the loss value, thereby achieving the goal of reducing the loss value of the source-grid-load-storage project.

[0097] In the embodiment of the present application, taking the target time period as 24 hours, that is, a whole day as an example, the load forecast may include only the day-ahead forecast stage, or may include the day-ahead forecast stage and the intra-day load distribution stage. In the day-ahead forecast stage, the electronic device performs load forecasting before the target time period, and executes the target strategy when the power facilities do not meet the peak-shaving assessment, thereby adjusting the load plan to obtain the target plan. When the target strategy is the first strategy or the third strategy, the target plan is the load plan. When the target strategy is the second strategy, the target plan may be an optimization plan, a load plan, or a reference plan. After obtaining the target plan, the target plan can be used only to predict the distribution of energy, that is, to achieve load-based source determination, or it can be used to guide the power size of the power facilities at each time point throughout the day based on the target plan. In addition, when the power facilities do not meet the peak-shaving assessment, the electronic device determines the target strategy and also indicates the peak-shaving identifier to the energy side.

[0098] During the intraday load allocation phase, electronic equipment uses peak-shaving indicators to control whether power utilities adhere to or avoid peak-shaving during target time periods. Furthermore, during the intraday load allocation phase, electronic equipment can also forecast loads for power utilities at multiple target time points, generating an intraday load plan. This plan then guides the power consumption of power utilities at each time point. The following describes the day-ahead forecasting phase and the intraday load allocation phase in detail.

[0099] First, the day-ahead forecasting stage.

[0100] Figure 4This is a process diagram of the day-ahead prediction phase in the load forecasting method provided by the embodiment of the present application. The load distribution system is operated on the electronic equipment. Figure 4 The steps include:

[0101] 401. The electronic device determines the power supply capability P1 provided by the energy source.

[0102] The power supply capacity P1 represents the power supply capacity provided by the "source" of the source-grid-load-storage project, which usually includes the upper limit of the public grid power supply and the power provided by new energy.

[0103] 402. The electronic device predicts a load plan L1 of the power facilities within a target time period.

[0104] 403. The electronic device saves the load distribution result.

[0105] The load distribution result is used to indicate the grid electricity consumption, wind power consumption, etc. at each time point within the target time period.

[0106] 404. Compare the peak-to-valley rate of electronic equipment.

[0107] The electronic equipment determines the natural peak-valley difference rate according to the load plan, and determines the peak-valley difference rate of the power grid according to the load distribution result.

[0108] 405. The electronic device determines whether the power facilities meet the peak load requirements. If the power facilities do not meet the peak load requirements, the electronic device executes step 406. If the power facilities meet the peak load requirements, the electronic device executes step 411.

[0109] The electronic equipment compares the peak-valley difference rate of the power grid and the natural peak-valley difference rate. If the peak-valley difference rate of the power grid and the natural peak-valley difference rate are smaller than the natural peak-valley difference rate, the power facilities are considered to meet the peak-shaving assessment; if the peak-valley difference rate of the power grid and the natural peak-valley difference rate are greater than or equal to the natural peak-valley difference rate, the power facilities are considered to not meet the peak-shaving assessment.

[0110] 406. The electronic device obtains a policy set.

[0111] 407. The electronic device determines a target policy. When the target policy is the second policy, step 408 is executed; when the target policy is the third policy, step 409 is executed; when the target policy is the first policy, step 410 is executed.

[0112] 408. The electronic device determines that the target plan is the optimized plan L1' and the peak shaving indicator is the peak shaving maintenance plan.

[0113] The second strategy is a load adjustment strategy. The electronic device determines an optimized plan L1' based on the first power required by the load plan, the second power provided by the renewable energy source, and the reference plan, and uses the optimized plan L1' as the target plan. Simultaneously, the electronic device determines the peak shaving flag as the second flag, i.e., maintaining peak shaving. The second flag indicates that during the target time period, the power-consuming facility maintains the peak-to-valley difference in power received by the power grid less than or equal to the natural peak-to-valley difference.

[0114] 409. The electronic equipment determines that the target plan is load plan L1 and the peak load indicator is peak load maintenance.

[0115] The third strategy is to purchase additional grid power. When the target strategy is the third strategy, the electronic device uses load plan L1 as the target plan. At the same time, the electronic device determines the peak shaving flag to be the second flag, that is, to maintain peak shaving.

[0116] 410. The electronic equipment determines that the target plan is load plan L1, and the peak shaving indicator is not to adhere to the peak shaving.

[0117] The first strategy is to accept the penalty. When the target strategy is the first strategy, the electronic device uses load plan L1 as the target plan. Simultaneously, the electronic device determines the peak-shaving flag to be the first flag, indicating that peak-shaving is not required. The first flag indicates that during the target time period, the power-consuming facility is not required to maintain the power grid's peak-to-valley difference ratio less than or equal to the natural peak-to-valley difference ratio.

[0118] After determining the target plan and peak-shaving indicator, the electronic device also pushes the latest target plan and peak-shaving indicator to the energy source. The peak-shaving indicator can be either the first indicator or the second indicator. The electronic device then regulates energy according to the target plan to achieve load-based energy balancing. Alternatively, during the target time period, the electronic device determines whether the power facility adheres to peak-shaving based on the peak-shaving indicator and directs the power consumption of the power facility according to the target plan.

[0119] This solution pushes the latest target plan and peak-shaving identifier to the energy side, facilitating timely energy regulation and controlling whether power facilities adhere to peak-shaving regulations, with high real-time and accuracy.

[0120] 411. Determine whether the power facilities comply with the peak load regulation. If so, execute step 409; if not, execute step 410.

[0121] Optionally, in the above embodiment, when the peak-to-valley rate of power reception of the power grid is less than or equal to the natural peak-to-valley rate, that is, when the power-consuming facilities meet the peak-shaving assessment, the electronic device further determines whether the power-consuming facilities need to maintain peak-shaving. Maintaining peak-shaving is used to indicate that the power-consuming facilities maintain the peak-to-valley rate of power reception of the power grid less than or equal to the natural peak-to-valley rate during the target time period.

[0122] When the power facilities need to maintain peak load, execute step 409; when the power facilities do not need to maintain peak load, execute step 410. For details about steps 409 and 410, please refer to the above description and will not be repeated here.

[0123] With this solution, when the power facilities meet the peak-shaving assessment, users can decide whether to adhere to the peak-shaving policy, which is highly flexible.

[0124] Secondly, the intraday load distribution stage.

[0125] Figure 5 This is a process diagram of the intraday load distribution phase in the load forecasting method provided by the embodiment of the present application. The load distribution system is operated on the electronic equipment. Figure 5 The steps include:

[0126] 501. The electronic device determines the power supply capacity P2 provided by the energy source.

[0127] Power supply capacity (P2) represents the power supply capability provided by the source of a source-grid-load-storage project. This typically includes the upper limit of public grid power supply and the power provided by renewable energy sources. Because renewable energy power is significantly affected by weather and environmental factors, and exhibits volatility and intermittency, P2 during the intraday load distribution phase may or may not be the same as P1 during the day-ahead forecast phase.

[0128] 502. The electronic device predicts a load plan L2 of the power facilities within the target time period.

[0129] Similarly, because renewable energy sources are significantly affected by external factors, the intraday load plan L2 may or may not be the same as the load plan L1 predicted during the day-ahead forecasting phase. The intraday load plan L2 is also called intraday plan L2. Electronic devices predict the intraday plan at target times within the target time period, for example, every three hours, every four hours, or even every hour. The intraday plan can be a 24-hour plan starting at the target time or a plan for the remaining time within the target time period starting at the target time. For example, if the target time is 12:00 PM, the intraday plan is from 12:00 PM to midnight. Each time a new intraday plan is obtained, the power consumption of the power facility is controlled according to the latest intraday plan. For example, a load forecast for the power facility at 9:00 AM results in intraday plan A, which specifies the power consumption of the power facility at each time point from 9:00 AM to midnight. At 12:00 PM, the electronic device predicts the load for the power facility to obtain intraday plan B, which specifies the power consumption of the power facility at each time point from 12:00 PM to midnight. Starting from 12 noon, electronic equipment will guide the power consumption of power-consuming facilities at each time point according to the intraday plan B.

[0130] 503. The electronic device saves the load distribution result.

[0131] The load distribution result is used to indicate the grid electricity consumption, wind power consumption, etc. at each time point from the target time.

[0132] 504. The electronic device obtains a peak shaving flag at a target time within a target time period. When the peak shaving flag indicates that the peak shaving is to be observed, step 505 is executed; when the peak shaving flag indicates that the peak shaving is not to be observed, step 509 is executed.

[0133] For example, the electronic device obtains the peak load identification or the latest peak load identification obtained in the day-ahead load forecasting phase at the target time within the target time period. Figure 4 In step 412, the electronic device pushes the latest target plan and peak-shaving indicator to the energy source. In this step, the electronic device obtains the peak-shaving indicator from the energy source. The peak-shaving indicator indicates whether the power facility needs to maintain peak-shaving. When the peak-shaving indicator is the first indicator, it indicates that the power facility does not need to maintain peak-shaving; when the peak-shaving indicator is the second indicator, it indicates that the power facility needs to maintain peak-shaving.

[0134] After the electronic device obtains the peak-shaving identifier, it controls the power of the power-consuming facilities at each time point according to the peak-shaving identifier from the target time, so that the power consumption can be kept in peak-shaving or not in real time.

[0135] With this solution, electronic equipment predicts the peak-shaving indicator during the day-ahead forecast phase and controls whether power facilities adhere to peak-shaving according to the peak-shaving indicator during the target time period. By accurately controlling whether power facilities adhere to peak-shaving, the goal of reducing the peak-shaving pressure on the public grid is achieved.

[0136] 505. Compare the peak-to-valley rate of electronic equipment.

[0137] The electronic equipment determines the natural peak-valley difference rate according to the intraday plan L2, and determines the peak-valley difference rate of the power grid according to the load distribution result.

[0138] 506. The electronic device determines whether the power facilities meet the peak load requirements. If the power facilities do not meet the peak load requirements, the electronic device executes step 507. If the power facilities meet the peak load requirements, the electronic device executes step 511.

[0139] 507. Electronic device acquisition policy set.

[0140] 508. The electronic device determines a target policy. When the target policy is the first policy, step 509 is executed; when the target policy is the second policy, step 510 is executed; when the target policy is the third policy, step 511 is executed.

[0141] 509. Electronic equipment maintains the daily plan L2, and the peak-shaving indicator is not in compliance with the peak-shaving.

[0142] The first strategy is to accept the penalty. When the target strategy is the first strategy, the electronic device directs the power consumption of the power utility according to the intraday plan L2 from the target time. At the same time, the electronic device determines the peak load indicator as the first indicator, indicating that peak load maintenance is not required.

[0143] In addition, if the peak shaving flag indicates that the peak shaving is not to be adhered to in step 504, the electronic device guides the power of the electric facility according to the intraday plan L2 starting from the target time.

[0144] With this solution, if the peak-shaving indicator indicates that the peak-shaving is not being adhered to, the electronic equipment will directly control the power consumption facilities according to the intraday plan with high accuracy.

[0145] 510. The electronic device determines the optimization plan L2', and the peak shaving indicator is peak shaving maintenance.

[0146] The second strategy involves load adjustment. The electronic device determines an optimized plan L2' based on the first power required by the daily plan L2, the second power provided by the renewable energy source, and the reference plan. This optimized plan L2' is then used as the target plan. Simultaneously, the electronic device sets the peak shaving indicator to the second indicator, indicating peak shaving.

[0147] 511. Electronic equipment maintains load plan L2, and the peak-shaving indicator is peak-shaving.

[0148] The third strategy involves purchasing additional grid power. When the target strategy is the third strategy, the electronic device directs the power consumption of the power-consuming facility according to the intraday plan L2 starting at the target time. At the same time, the electronic device sets the peak shaving flag to the second flag, indicating peak shaving.

[0149] 512. Electronic equipment pushes the latest daily target plan and peak-shaving mark to the energy side.

[0150] After the electronic device determines the load plan to be executed from the target time, it uses this load plan as the latest target plan and pushes it to the energy source. The latest target plan and peak shaving indicator (the first indicator or the second indicator) are also pushed to the energy source. The electronic device then directs the power consumption of the electric facility based on the target plan from the target time.

[0151] This solution pushes the latest target plan and peak-shaving identifier to the energy side, facilitating timely energy regulation and controlling whether power facilities adhere to peak-shaving regulations, with high real-time and accuracy.

[0152] Normally, after the electronic device obtains the peak shaving identifier from the energy side, it controls whether the power facilities adhere to the peak shaving within the target time period based on the peak shaving identifier. When the peak shaving identifier is the first identifier, it indicates that the power facilities do not need to adhere to the peak shaving within the target time period; when the peak shaving identifier is the second identifier, it indicates that the power facilities need to adhere to the peak shaving within the target time period. However, in order to facilitate the flexibility of making the power facilities adhere to the peak shaving or not, optionally, in the above embodiment, after the electronic device obtains the peak shaving identifier, it can also obtain an adjustment instruction, and the adjustment instruction is used to adjust the peak shaving identifier. Afterwards, after the target time, the electronic device controls the power facilities according to the adjusted peak shaving identifier.

[0153] For example, in step 504, the peak-shaving identifier obtained by the electronic device is the first identifier or the second identifier. Subsequently, if the peak-shaving identifier is the first identifier, but the operator expects the power facilities to adhere to peak-shaving during the target time period, the peak-shaving identifier can be adjusted to the second identifier according to the adjustment instruction. Similarly, if the peak-shaving identifier obtained by the electronic device in step 504 is the second identifier, but the operator expects the power facilities to not adhere to peak-shaving during the target time period, the peak-shaving identifier can be adjusted to the first identifier according to the adjustment instruction.

[0154] This solution opens an interface for adjusting the peak-shaving flag, making it easier to control whether power facilities adhere to peak-shaving according to demand, with high flexibility and speed.

[0155] The following are device embodiments of the present application, which can be used to implement the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

[0156] Figure 6 Schematic diagram of a load forecasting device provided in an embodiment of the present application. The load forecasting device 600 includes: a forecasting module 61 , a determination module 62 , a strategy module 63 and a processing module 64 .

[0157] Prediction module 61, predicting the load plan of power facilities within a target time period;

[0158] A determination module 62 is configured to determine a natural peak-to-valley difference rate of the power facility and a peak-to-valley difference rate of power received by the power grid of the power facility according to the load plan;

[0159] A strategy module 63 is configured to determine a target strategy based on a strategy set when the peak-to-valley difference rate of the power grid is greater than the natural peak-to-valley difference rate;

[0160] Processing module 64 determines the target plan and peak-shaving identifier of the power consuming facility within the target time period according to the target strategy, and the peak-shaving identifier is used to indicate whether the power consuming facility maintains the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate within the target time period.

[0161] In a feasible implementation, the strategy module 63 is used to determine the first loss value corresponding to the first strategy, the second loss value corresponding to the second strategy, and the third loss value corresponding to the third strategy when the peak-to-valley difference in power supply to the power grid is greater than the natural peak-to-valley difference. The strategy set includes the first strategy, the second strategy, and the third strategy. The first strategy is that the power facility executes the load plan within the target time period without increasing power supply from the public power grid. The second strategy is that the power facility executes the optimization plan within the target time period. Under the optimization plan, the peak-to-valley difference in power supply to the power grid is less than or equal to the natural peak-to-valley difference. The production capacity of the optimization plan is lower than the production capacity of the load plan. The third strategy is that the power facility executes the load plan within the target time period and increases power supply from the public power grid. Determine the minimum loss value from the first loss value, the second loss value, and the third loss value; and determine the target strategy with the minimum cost from the strategy set based on the minimum loss value.

[0162] In a feasible implementation, after the strategy module 63 determines the target strategy with the minimum cost from the strategy set according to the minimum loss value, the processing module 64 is also used to, when the target strategy is the first strategy, determine that the peak-shaving identifier is a first identifier, and the first identifier is used to indicate that during the target time period, the power-consuming facilities are not required to keep the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate; when the target strategy is the second strategy or the third strategy, determine that the peak-shaving identifier is a second identifier, and the second identifier is used to indicate that during the target time period, the power-consuming facilities keep the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate.

[0163] In a feasible implementation, before the strategy module 63 determines the first loss value corresponding to the first strategy, the second loss value corresponding to the second strategy, and the third loss value corresponding to the third strategy when the peak-to-valley difference rate of the power grid is greater than the natural peak-to-valley difference rate, the processing module 64 determines the optimization plan according to the second power for each time point within the target time period when the first power is greater than the second power. The power sources in the source-grid-load-storage project to which the power facility belongs include the public power grid and the new energy. The first power is the power required for the power facility to execute the load plan at the time point, and the second power is the power provided by the new energy at the time point. When the first power is less than or equal to the second power, the optimization plan is determined according to the load plan and the preset power, and the preset power is the minimum power to maintain the production capacity of the power facility at the time point.

[0164] In a feasible implementation, the processing module 64 is also used to determine whether the power-consuming facility needs to maintain peak-valley difference when the peak-valley difference of the power grid is less than or equal to the natural peak-valley difference. The peak-shaving is used to indicate that the power-consuming facility maintains the peak-valley difference of the power grid less than or equal to the natural peak-valley difference during the target time period; when the power-consuming facility is needed to maintain peak-valley difference, a second identifier is pushed to the energy side. The second identifier is used to indicate that the power-consuming facility maintains the peak-valley difference of the power grid less than or equal to the natural peak-valley difference during the target time period.

[0165] In a feasible implementation, after the processing module 64 determines the target plan of the power facility within the target time period according to the target strategy, it is also used to obtain a peak-shaving identifier at the target time within the target time period, and the peak-shaving identifier is used to indicate whether the power facility needs to maintain peak shaving; and from the target time onwards, the power facility is controlled according to the peak-shaving identifier.

[0166] In a feasible implementation, the processing module 64 controls the source-grid-load-storage project according to the peak-shaving identifier from the target time, and is used to predict the intraday plan of the power-consuming facility at the target time; when the peak-shaving identifier is a first identifier, after determining the target time, the power of the power-consuming facility is guided according to the intraday plan, and the first identifier is used to indicate that within the target time period, the power-consuming facility is not required to maintain the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate.

[0167] In a feasible implementation, the processing module 64 is used to obtain an adjustment instruction when controlling the power facility according to the peak-shaving identifier from the target moment, and the adjustment instruction is used to adjust the peak-shaving identifier; and controls the power facility according to the adjusted peak-shaving identifier from the target moment.

[0168] The load forecasting device provided in the embodiment of the present application can execute the actions of the electronic device in the above embodiment. Its implementation principle and technical effects are similar and will not be repeated here.

[0169] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application, such as a screen display device. Figure 7 The electronic device 700 described in the embodiment of the present application includes: at least one processor 71, at least one communication bus 72, a user interface 73, at least one network interface 77 and a memory 75.

[0170] The communication bus 72 is used to realize the connection and communication between these components.

[0171] The user interface 73 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 73 may also include a standard wired interface and a wireless interface.

[0172] The network interface 77 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0173] The processor 71 may include one or more processing cores. The processor 71 utilizes various interfaces and circuits to connect various components within the electronic device 700. It executes instructions, programs, code sets, or instruction sets stored in the memory 75, as well as accesses data stored in the memory 75, to perform various functions and process data within the electronic device 700. Optionally, the processor 71 may be implemented using at least one of the following hardware forms: a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). The processor 71 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily handles the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the panoramic sphere required for display; and the modem handles wireless communications. It is understood that the modem may not be integrated into the processor 71 but implemented as a separate chip.

[0174] Among them, the memory 75 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 75 includes a non-transitory computer-readable storage medium. The memory 75 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 75 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 75 may also be optionally at least one storage device located away from the aforementioned processor 71. As Figure 7As shown, the memory 75 as a computer storage medium may include an operating system, a network communication module, a user interface module, and operating applications of the electronic device.

[0175] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and when the computer instructions are executed by a processor, they are used to implement the load forecasting method described above.

[0176] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the load forecasting method described above is implemented.

[0177] Those skilled in the art will appreciate that the embodiments of the present application may provide methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0178] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram and the combination of the processes and / or boxes in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0179] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0180] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0181] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0182] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0183] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0184] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed or elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, commodity, or apparatus comprising the element.

[0185] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included within the scope of the claims of the present application.

Claims

1. A load forecasting method, characterized in that: Applied to electronic equipment, the method includes: Predict the load plan of power facilities within the target time period; Determine the natural peak-to-valley difference rate of the power consuming facility and the peak-to-valley difference rate of the power grid receiving power of the power consuming facility according to the load plan; When the peak-to-valley difference rate of the power grid is greater than the natural peak-to-valley difference rate, determining a target strategy according to a strategy set; The target plan and peak-shaving identifier of the power consuming facility within the target time period are determined according to the target strategy, and the peak-shaving identifier is used to indicate whether the power consuming facility maintains the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate within the target time period.

2. The method according to claim 1, characterized in that When the peak-to-valley difference rate of the power grid is greater than the natural peak-to-valley difference rate, determining a target strategy according to a strategy set includes: When the peak-to-valley rate of power received by the power grid is greater than the natural peak-to-valley rate, determine a first loss value corresponding to the first strategy, a second loss value corresponding to the second strategy, and a third loss value corresponding to the third strategy, the strategy set including the first strategy, the second strategy, and the third strategy, the first strategy is that the power facility executes the load plan within the target time period without increasing power received from the public power grid, the second strategy is that the power facility executes the optimization plan within the target time period, under the optimization plan, the peak-to-valley rate of power received by the power grid is less than or equal to the natural peak-to-valley rate, the production capacity of the optimization plan is lower than the production capacity of the load plan, and the third strategy is that the power facility executes the load plan within the target time period and increases power received from the public power grid; determining a minimum loss value from the first loss value, the second loss value, and the third loss value; A target strategy with the minimum cost is determined from the strategy set according to the minimum loss value.

3. The method according to claim 2, characterized in that After determining the target strategy with the minimum cost from the strategy set according to the minimum loss value, the method further includes: When the target strategy is the first strategy, determining that the peak-shaving identifier is the first identifier, the first identifier is used to indicate that within the target time period, the power-consuming facility is not required to maintain the power grid peak-to-valley difference rate less than or equal to the natural peak-to-valley difference rate; When the target strategy is the second strategy or the third strategy, the peak-shaving identifier is determined to be the second identifier, and the second identifier is used to indicate that during the target time period, the power-consuming facility maintains the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate.

4. The method according to claim 2, characterized in that Before determining the first loss value corresponding to the first strategy, the second loss value corresponding to the second strategy, and the third loss value corresponding to the third strategy when the peak-to-valley difference rate of the power grid is greater than the natural peak-to-valley difference rate, the method further includes: For each time point within the target time period, when the first power is greater than the second power, determining the optimization plan based on the second power, where the power sources in the source-grid-load-storage project to which the power facility belongs include a public power grid and the new energy source, the first power is the power required by the power facility to execute the load plan at the time point, and the second power is the power provided by the new energy source at the time point; When the first power is less than or equal to the second power, the optimization plan is determined according to the load plan and the preset power, where the preset power is the minimum power required to maintain the production capacity of the power facility at the time point.

5. The method according to any one of claims 1 to 4, characterized in that Also includes: When the peak-to-valley difference rate of the power grid is less than or equal to the natural peak-to-valley difference rate, determining whether the power-consuming facility needs to maintain peak shaving, wherein the peak shaving is used to indicate that the power-consuming facility should maintain the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate within the target time period; When the power-consuming facility is required to maintain peak load, a second identifier is pushed to the energy side, and the second identifier is used to indicate that during the target time period, the power-consuming facility maintains the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate.

6. The method according to any one of claims 1 to 3, characterized in that After determining the target plan of the power facilities within the target time period according to the target strategy, the method further includes: Acquire a peak shaving flag at a target time within the target time period, the peak shaving flag being used to indicate whether the power facility needs to maintain peak shaving; Starting from the target time, the power consuming facility is controlled according to the peak shaving identifier.

7. The method according to claim 6, characterized in that The controlling the source-grid-load-storage project according to the peak-shaving identifier starting from the target time includes: predicting the intraday schedule of the power consumption facility at the target time; When the peak-shaving identifier is the first identifier, after determining the target time, the power of the power-consuming facility is guided according to the intraday plan. The first identifier is used to indicate that during the target time period, the power-consuming facility is not required to maintain the peak-to-valley difference rate of the power grid less than or equal to the natural peak-to-valley difference rate.

8. The method according to claim 6, characterized in that The controlling the power consuming facility according to the peak shaving identifier starting from the target time includes: Acquire an adjustment instruction, where the adjustment instruction is used to adjust the peak shaving indicator; Starting from the target time, the power consuming facilities are controlled according to the adjusted peak load identification.

9. An electronic device comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the electronic device implements the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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