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, one target time interval comprises a plurality of power utilization periods, one power utilization period comprises a plurality of time periods, and for each power utilization period in the target time interval, the power utilization period in the target time interval is more than one time period. The electronic equipment determines the power variation of the first power of the first power utilization facility in the first time period and the power variation of the second power of the second time period, and determines the second power of the second time period according to the power variation and the first power, thereby obtaining the power of the first power utilization facility in each time period in each power utilization period. And making a load plan according to the power of the first power utilization facility in each time period in each power utilization period. By adopting the scheme, load prediction is automatically carried out on the first power utilization facility, a load plan does not need to be made manually, and the purpose of improving the load prediction efficiency is achieved.

Description

Technical Field

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

[0002] At present, there are a large number of electricity-consuming facilities in the power industry, such as ore-fired furnaces and data centers. Load forecasting of electricity-consuming facilities is conducive to optimizing power system scheduling and energy supply.

[0003] Load forecasting is the process of predicting the power consumption of electrical facilities over a period of time. For example, it involves predicting the power consumption of electrical facilities at each time point over the next three days. Taking load forecasting for a submerged arc furnace as an example, a common load forecasting method uses the furnace's output as the core objective, the operator's experience as the basis for the load forecast, and a manual load plan is used to develop the furnace.

[0004] However, manual load planning is inefficient. Summary of the Invention

[0005] The embodiments of the present application provide a load forecasting method, device, and readable storage medium, which sequentially determine the power of a first power-consuming facility in each time period within a power consumption cycle, and formulate a load plan based on the power of the first power-consuming facility in each time period of each power consumption cycle, thereby obtaining a load plan with high accuracy and high executability.

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

[0007] For each power usage cycle within a target time interval, determining a power change between a first power in a first time period and a second power in a second time period of a first power usage facility, wherein the target time interval includes multiple power usage cycles, the first time period and the second time period are two adjacent time periods within the power usage cycle, and the end point of the first time period is the starting point of the second time period;

[0008] predicting a second power of the first power facility in the second time period based on the power change and the first power of the first power facility in the first time period;

[0009] A load plan for the first power facility within the target time interval is determined based on the power of the first power facility in each time period within each power usage cycle.

[0010] In a second aspect, an embodiment of the present application provides a load forecasting device, comprising:

[0011] a processing module configured to determine, for each power usage cycle within a target time interval, a power change between a first power in a first time period and a second power in a second time period of a first power usage facility, wherein the target time interval includes a plurality of power usage cycles, the first time period and the second time period are two adjacent time periods within the power usage cycle, and the end point of the first time period is the starting point of the second time period;

[0012] a prediction module, configured to predict a second power of the first power facility in the second time period based on the power change and the first power of the first power facility in the first time period;

[0013] A determination module is used to determine the load plan of the first power facility within the target time interval based on the power of the first power facility in each time period within each power consumption cycle.

[0014] 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.

[0015] 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.

[0016] 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.

[0017] The load forecasting method, device, and readable storage medium provided by the embodiments of the present application are as follows: a target time interval includes multiple power cycles, and a power cycle includes multiple time periods. For each power cycle within the target time interval, the electronic device determines the power change between the first power of the first power facility in the first time period and the second power in the second time period, and determines the second power of the second time period based on the power change and the first power, thereby obtaining the power of the first power facility in each time period within each power cycle, and formulates a load plan based on the power of the first power facility in each time period within each power cycle. Using this solution, load forecasting is automatically performed on the first power facility, eliminating the need to manually formulate a load plan, thereby achieving the purpose of improving load forecasting efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] 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.

[0019] Figure 1 is a flow chart of the load forecasting method provided in an embodiment of the present application;

[0020] Figure 2 is a schematic diagram of determining the second power in the load forecasting method provided in an embodiment of the present application;

[0021] Figure 3 A schematic diagram of a load forecasting device provided in an embodiment of the present application;

[0022] Figure 4 It is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] A microgrid (also known as a microgrid) is a new type of power supply network. It is an autonomous system capable of self-control, protection, and management. It can operate in parallel with an external power grid or in isolation. A microgrid consists of at least an energy system, storage batteries, and power-consuming facilities. The energy provided by the energy system includes renewable energy sources such as solar energy and wind energy. A key application area for microgrids is the alloy smelting industry, where ore-fired furnaces are the primary users of electricity. In this field, the electricity provided by the energy system can be either on-grid electricity or off-grid electricity. On-grid electricity includes electricity generated by photovoltaic power generation, wind power generation, and energy storage batteries. Off-grid electricity refers to electricity purchased from the external power grid. The electricity price of the external power grid has three levels: peak, valley, and flat.

[0024] When a microgrid's power utility is an ore-fired furnace, load forecasting is often necessary to develop a load plan. Traditional load forecasting methods rely on manual experience, focusing solely on production output. These load plans are often inaccurate, making it impossible to guide furnace operation according to the forecasted load plan in actual production. This means the load plan has limited feasibility.

[0025] One reason load planning is not feasible is that, if implemented, it can easily lead to low absorption efficiency, meaning that the proportion of renewable energy effectively utilized is very low. For example, the absorption efficiency may be less than 30%-40% of the microgrid's maximum carrying capacity.

[0026] Furthermore, renewable energy sources are significantly affected by weather, exhibiting instability and significant fluctuations. Manually developed load plans, however, lack dynamic adjustment mechanisms and are therefore unable to adapt to the real-time fluctuations and instabilities of microgrids. Data shows that when faced with a ±15% load fluctuation, microgrid response delays can reach as high as 5-8 minutes.

[0027] In addition, the load plan formulated manually lacks a quantitative indicator system such as load balance and energy efficiency utilization, and cannot perform multi-objective optimization evaluation, resulting in an energy waste rate of up to 18%-25% in actual operation.

[0028] Based on this, the embodiments of the present application provide a load forecasting method, device and readable storage medium, which predicts the power change of the first power facility in two adjacent time periods, determines the power of the first power facility in each time period within a power cycle in turn, and formulates a load plan based on the power of the first power facility in each time period of each power cycle, thereby obtaining a load plan with high accuracy and high executability.

[0029] 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 energy system, storage battery, etc. in the microgrid and can obtain parameters such as energy supply.

[0030] In an embodiment of the present application, an electronic device performs load forecasting for at least one power-consuming facility, where the first power-consuming facility is any one of the at least one power-consuming facilities. When there are more than two power-consuming facilities, since these facilities draw their energy from the same aggregate supply, the electronic device considers the priority of each power-consuming facility during the load forecasting process to provide sufficient energy for high-priority power-consuming facilities. Power-consuming facilities are energy-intensive equipment, including but not limited to data centers, submerged arc furnaces, refrigeration equipment, pumps, and boilers. Submerged arc furnaces include but are not limited to manganese-silicon submerged arc furnaces and ferrosilicon submerged arc furnaces.

[0031] The load forecasting method according to the embodiment of the present application is described in detail below by taking load forecasting of a first power-consuming facility among at least one power-consuming facility as an example. The first power-consuming facility may be a data center, a submerged arc furnace, a refrigeration device, or the like.

[0032] When predicting the load plan for the first power-consuming facility within a target time interval, the electronic device divides the target time interval into multiple, sequentially adjacent time periods. Subsequently, for adjacent first and second time periods within a power usage cycle, the electronic device predicts the power variation between the two time periods. Based on the first power and power variation in the first time period, the electronic device predicts the second power in the second time period, obtaining the power for each time period. This allows the electronic device to formulate a load plan, resulting in a highly accurate and feasible load plan. When the first power-consuming facility is a submerged arc furnace, the power variation can reflect the characteristics of the smelting process, while the first power reflects the furnace's operating status. By combining the furnace's actual production and operating status with the characteristics of the smelting process, the electronic device can perform load predictions for the furnace, thereby increasing its production output.

[0033] Figure 1 This is a flow chart of a 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:

[0034] 101. For each power consumption cycle within a target time interval, determine a power change between a first power of a first power facility in a first time period and a second power in a second time period.

[0035] The target time interval includes multiple power usage cycles, the first time period and the second time period are two adjacent time periods within the power usage cycle, and the end point of the first time period is the starting point of the second time period.

[0036] In the embodiments of the present application, the target time interval is the time period for which load forecasting is required, and the duration can be 24 hours, 48 ​​hours, 72 hours, a week, 10 days, a month, a quarter, half a year, a year, etc., and the embodiments of the present application are not limited thereto. For example, the target time interval is March 29th to March 31st, i.e., a load plan for 3 days is forecasted. For another example, the target time interval is 9:00 am on March 29th to 9:00 pm on April 2nd, i.e., a load plan for 4.5 days is forecasted. For another example, the load plan for the third quarter is forecasted.

[0037] In the embodiment of the present application, the lengths of the power consumption cycles of different power consumption facilities are different. For example, a power consumption cycle of a manganese silicon ore arc furnace is about 6 hours, 7 hours, etc., which is related to the energy supply, etc. The greater the energy supply, the shorter the power consumption cycle, and the smaller the supply, the longer the power consumption cycle. A power consumption cycle includes multiple time periods, and the length of each time period is, for example, 10 minutes, 15 minutes, etc. The power of the first power consumption facility in each time period is fixed, and the power of the first power consumption facility is known at the start time period of each power consumption cycle. The two adjacent time periods in a power consumption cycle are referred to as the first time period and the second time period hereinafter. When the first power of the first time period is known, the electronic device determines the power change of the first power of the first time period and the second power of the second time period. Thereafter, the second power can be obtained by adding the power change or subtracting the power change to the first power.

[0038] In the implementation of this application, the electronic device can flexibly determine the power change. For example, the power change is related to the magnitude of the first power. A mapping table is pre-set to indicate the correspondence between the first power and the power change, with different first powers corresponding to different power changes. The electronic device can determine the power change by querying the mapping table based on the first power.

[0039] For another example, the first power facility is pre-modeled based on its characteristics to generate a load model. This load model indicates how the load of the first power facility changes over time, the environment, user behavior, and other factors. The first power is used as input to the load model, so that the load model outputs a target phase, power change, and other parameters. A power cycle consists of multiple phases, and the load of the first power facility within the same phase has the same characteristics. The target phase refers to the phase of the power cycle in which the first time period falls.

[0040] Taking the manganese silicon ore furnace as an example, a power consumption cycle of the manganese silicon ore furnace includes a ramp-up period, a smelting period, or a tapping period. For example, please refer to Table 1. Table 1 is an example table of a load model for a manganese silicon ore furnace.

[0041] Table 1

[0042]

[0043]

[0044] Please refer to Table 1. The first power is, for example, 20,000 kilowatts, greater than 20,000 kilowatts, greater than or equal to 23,000 kilowatts, etc. The electronic device determines the target stage corresponding to the first time period. Taking the target stage as the ramp-up period as an example, assuming that the value of the first power in the first time period is P1, 20,000 kilowatts < P1 < 23,000 kilowatts, if the total energy supplied to the first power facility is large enough to increase the power of the first power facility, then according to Table 1, the maximum change is 3,000 kilowatts, and the maximum change is also called the change rate. Furthermore, if the energy supplied to the first power facility is sufficient to increase the first power of the first power facility by 3,000 kilowatts, the electronic device will use the maximum change of 3,000 kilowatts as the power change, and then use the sum of the first power and 3,000 kilowatts as the second power. If the energy provided to the first electrical facility is not sufficient to increase the first power by 3,000 kilowatts, but can only increase the first power of the first submerged arc furnace by 2,000 kilowatts, the electronic device will use 2,000 kilowatts as the power change, and further use the sum of the first power and 2,000 kilowatts as the second power.

[0045] If the total energy supplied to the first power facility is less, the power of the first power supply facility needs to be reduced. According to Table 1, the maximum change is 1000 kilowatts. Furthermore, if the energy supplied to the first power facility decreases by 1000 kilowatts, the electronic device uses 1000 kilowatts as the power change, and then uses the difference between the first power and the power change as the second power. If the energy supplied to the first power facility decreases by 2000 kilowatts, the first power needs to be reduced. The reduced first power is, for example, 21,000 kilowatts. Therefore, the electronic device needs to reduce the first power in advance. Afterwards, the electronic device uses the maximum change of 1000 kilowatts as the power change, and uses the difference between the reduced first power and 1000 kilowatts as the second power.

[0046] 102. Predict a second power of the first power facility in the second time period based on the power change and the first power of the first power facility in the first time period.

[0047] After determining the power variation, the electronic device adds or subtracts the power variation from the first power to obtain the second power. Whether this is increased or subtracted depends on the energy supplied to the first power facility. For example, if the energy supplied to the first power facility is insufficient and the power of the first power facility needs to be reduced, the power variation is subtracted from the first power to obtain the second power. Alternatively, if the energy supplied to the first power facility is sufficient and the power of the first power facility needs to be increased, the power variation is added to the first power to obtain the second power.

[0048] The electronic device sequentially determines the power consumption of the first power-consuming facility in each time period of a power consumption cycle. For example, assuming each time period lasts 10 minutes, a power consumption cycle includes time periods 1, 2, 3, and so on. Time period 1 is the starting time period. The electronic device determines the power variation between the first power in time period 1 and the second power in time period 2. It then determines the second power based on the power variation and the first power. The power consumption in time period 2 then becomes the first power. The electronic device predicts the power variation between the first power in time period 2 and the second power in time period 3. Based on the power variation and the first power in time period 2, it determines the second power in time period 3. This process continues until the power consumption of each time period in the entire power consumption cycle has been determined.

[0049] It should be noted that since the energy of the first power-consuming facility comes from wind power, photovoltaic power, etc., these new energy sources are intermittent and volatile, so even for the same first power-consuming facility, the length of the power consumption cycle is not fixed, that is, some power consumption cycles are long, and some power consumption cycles are short. And a power consumption cycle can be divided into different stages, and the load change characteristics of the first power facility in the same stage are the same. Continuing to take the first power facility as a manganese silicon ore-fired furnace as an example, a power consumption cycle of the manganese silicon ore-fired furnace includes a ramp-up period, a smelting period, and an iron-making period. These three periods are also called different production stages. Under normal circumstances, the ore-fired furnace increases the power during the ramp-up period, maintains a relatively high power stable operation during the smelting period, and reduces the power during the iron-making period until the end of the iron-making period. After a round of ramp-up period, smelting period, and iron-making period, it is equivalent to completing one furnace tapping. After completing one furnace tapping, a new cycle begins.

[0050] During the load forecasting phase, for each power consumption cycle, the electronic equipment accumulates the accumulated power of the power consumption cycle and determines the target phase corresponding to each time period based on the accumulated power consumption until one cycle is completed and the next power consumption cycle begins.

[0051] 103. Determine a load plan for the first power facility within the target time interval based on the power of the first power facility in each time period within each power usage cycle.

[0052] In an embodiment of the present application, a target time interval includes multiple power consumption cycles. After the electronic device determines the power of the first power facility in each time period of each power consumption cycle, it determines the load plan of the first power facility in the target time interval based on the power in each time period of each power consumption cycle.

[0053] After the load plan is predicted, in subsequent actual production, the staff will optimize the power system scheduling and reasonably arrange energy supply based on the load plan.

[0054] The load forecasting method provided by the embodiment of the present application is that a target time interval includes multiple power consumption cycles, and a power consumption cycle includes multiple time periods. For each power consumption cycle within the target time interval, the electronic device determines the power change of the first power of the first power facility in the first time period and the second power in the second time period, and determines the second power of the second time period based on the power change and the first power, thereby obtaining the power of the first power facility in each time period within each power consumption cycle, and formulates a load plan based on the power of the first power facility in each time period within each power consumption cycle. By adopting this scheme, the load forecast of the first power facility is automatically performed without the need to manually formulate the load plan, thereby achieving the purpose of improving the efficiency of load forecasting. Moreover, the first power, the power change, and the second power reflect the actual operating status of the first power facility and the characteristics of the operating process. By combining the actual operating status of the first power facility and the characteristics of the operating process to perform load forecasting, the accuracy and executability of the load plan are improved.

[0055] Optionally, in the above embodiment, for each power consumption cycle within the target time interval, in the process of the electronic device determining the power change between the first power in the first time period and the second power in the second time period of the first power facility, the power change is determined based on at least one of the target stage of the first time period, the energy supply to the first power facility in the second time period, the priority of the first power facility and the maintenance plan of the first power facility.

[0056] The main idea behind implementing load forecasting in this application is that the second power of the first power facility in the second time period is equal to the sum or difference of the first power and the power variation in the first time period. Increasing or decreasing the power variation based on the first power depends on the amount of energy supplied to the first power facility in the second time period. The power at the start time period of each power cycle is known, so the electronic device can sequentially determine the power of each subsequent time period. Among them, factors to be considered when determining the power variation can be found in Figure 2 .

[0057] Figure 2 This is a schematic diagram of determining the second power in the load forecasting method provided in the embodiment of the present application. Figure 2 The second power is related to the first power and the power change. Determining the power change requires considering at least one of the target phase of the first time period, the amount of energy supplied to the first power facility during the second time period, the priority of the first power facility, and a maintenance plan for the first power facility.

[0058] By adopting this solution, the electronic device considers multiple factors when determining the power variation, so that the accuracy of the power variation is high, thereby achieving the purpose of improving the accuracy of load prediction.

[0059] Below, these factors are described in detail.

[0060] a. The target stage of the first time period.

[0061] A power usage cycle can be divided into multiple stages, and the characteristics of the first power utility vary during different stages. When determining the power change, for each power usage cycle within the target time interval, the electronic device determines the cumulative power consumption of the first power utility during the power usage cycle at the start of the first time period. The electronic device then determines the target stage of the first power utility during the first time period based on the cumulative power consumption, and determines the power change based on the target stage and the first power. The power usage cycle includes at least one stage, and the power change characteristics of the first power utility within the same stage are the same.

[0062] Taking the manganese silicon submerged arc furnace as an example of the first power-consuming facility, considering the production characteristics and process requirements, the speed at which the power of the manganese silicon submerged arc furnace increases or decreases is different at different stages. Therefore, it is necessary to clarify the stage of the manganese silicon submerged arc furnace in the first period, and then determine the maximum change when the power increases or the maximum change when the power decreases.

[0063] Based on the load model shown in Table 1, a manganese silicon submerged arc furnace power cycle consists of three phases: ramp-up, smelting, and tapping. When the cumulative power consumption within a power cycle is between 0 and 4.5 kWh, the furnace is in the ramp-up phase; when the cumulative power consumption within a power cycle is between 4.5 and 18.5 kWh, the furnace is in the smelting phase. As shown in Table 1, the maximum power variation varies depending on the first power of the furnace in each phase. For example, when the manganese silicon submerged arc furnace is in the ramp-up period, the value of the first power is P1, and 20,000 kilowatts < P1 < 23,000 kilowatts. If the power increases in the second time period, the maximum change is 3,000 kilowatts. If the power decreases, the maximum change is 1,000 kilowatts. For another example, when the manganese silicon submerged arc furnace is in the iron-tapping period, the value of the first power is P1, and 20,000 kilowatts < P1 < 23,000 kilowatts. If the power increases in the second time period, the maximum change is 1,500 kilowatts. If the power decreases, the maximum change is 2,000 kilowatts.

[0064] Referring to Table 1, the electronic device determines the cumulative power consumption during the power usage cycle, determines the target phase of the first power-consuming device in the first time period based on the cumulative power consumption, and then determines the maximum change based on the first power. The electronic device then determines the power change based on the maximum change. For example, if sufficient energy is provided to the first power-consuming device, the electronic device directly uses the maximum change as the power change.

[0065] By adopting this solution, the electronic device determines the power change amount based on the target stage of the first power facility in the first time period. Since the load change characteristics of power facilities in different stages are different, the electronic device combines the operating status of the first power facility when determining the power change amount, and can accurately determine the power change amount, thereby achieving the purpose of improving the accuracy of load forecasting.

[0066] b. The amount of energy supplied to the first power facility during the second time period.

[0067] In the above embodiment, when the electronic device determines the power variation based on the target phase and the first power, the electronic device first determines the maximum variation based on the target phase and the first power. The maximum variation is the maximum difference between the first power and the second power. Simultaneously, the electronic device determines the energy supply of the first power-consuming device during the second time period. When the supply is greater than or equal to the energy required to generate the maximum variation, the maximum variation is used as the power variation. When the supply is less than the energy required to generate the maximum variation, the electronic device determines the power variation based on the supply and the maximum variation.

[0068] For example, the first power facility's energy source includes highly volatile renewable energy sources such as solar and wind power. This means the energy supply to the first power facility is not fixed but rather varies with factors such as the climate. To ensure the proper functioning of the first power facility, the load demand must be less than the energy supply. Therefore, when the energy supply to the first power facility is sufficient, the power of the first power facility increases, and the electronic device directly uses the maximum change as the power change.

[0069] When the energy supplied to the first power facility is sufficient to increase the power of the first power facility, but insufficient to increase the power of the first power facility by the maximum change, the electronic device determines the power change based on the energy supplied. For example, referring to Table 1, the first power of the manganese silicon submerged arc furnace is P1, 20,000 kilowatts < P1 < 23,000 kilowatts, and the maximum change when the power increases is 3,000 kilowatts. Although the energy supplied to the manganese silicon submerged arc furnace can increase the power of the manganese silicon submerged arc furnace, the energy supplied is insufficient to increase the first power by 3,000 kilowatts. Instead, it only increases the first power of the manganese silicon submerged arc furnace by 2,000 kilowatts. The electronic device uses 2,000 kilowatts as the power change and then uses the sum of the first power and 2,000 kilowatts as the second power.

[0070] By adopting this solution, the electronic equipment takes the energy supply situation into consideration when determining the power change, ensuring that the load demand of the first power-consuming facility in each period is less than the energy supply, ensuring that the first power-consuming facility can operate normally in each period, and achieving the purpose of improving the feasibility of the load plan obtained by load forecasting.

[0071] Optionally, in the above embodiment, when the electronic device determines the power change, on the one hand, it must ensure that the load demand of the first power facility in each time period is less than the energy supply; on the other hand, if the power change is less than the decrease, the electronic device must first reduce the first power when predicting the second power.

[0072] In this case, while predicting the second power of the first electric utility in the second time period based on the power change and the first power of the first electric utility in the first time period, the electronic device determines the magnitude of the decrease in energy supplied to the first electric utility. The magnitude of the decrease indicates the magnitude of the decrease in energy supplied to the first submerged arc furnace in the second time period compared to the first time period. If the magnitude of the decrease is greater than the power change, the electronic device reduces the first power and, based on the reduced first power and the power change, predicts the second power of the first submerged arc furnace in the second time period of the power cycle. If the magnitude of the decrease is less than or equal to the power change, the electronic device does not need to reduce the first power when predicting the second power.

[0073] In this embodiment of the present application, there are certain limits on the rate at which the power of the first power facility can decrease, as shown in Table 1. Specifically, the power change cannot be too large. When the energy supply is low, if the first power facility has a low priority, the planned load of the first power facility is continuously adjusted backtracking until the power decrease rate of the first power facility meets the target phase rate requirements and satisfies the energy supply and demand balance. In other words, when the energy supply to the first power facility decreases, if the maximum change is used as the power change, the power change is still less than the decrease in energy supply to the first power facility. In this case, when the electronic device predicts the second power, it must first reduce the first power. For example, if the energy supply of the first power facility decreases by 5,000 kilowatts due to climate change, and the first power during the first period is 23,000 kilowatts, the maximum change during the power decrease is 2,000 kilowatts. Clearly, even if the maximum change is used as the power change, the second power value is 21,000 kilowatts, far less than the 5,000 kilowatt decrease. Therefore, when predicting the second power, the electronic device reduces the first power in advance to 20,000 kilowatts. Later, when predicting the second power, the first power is 20,000 kilowatts, the power change is 2,000 kilowatts, and the second power is 18,000 kilowatts after subtracting the power change from the first power.

[0074] For example, if manganese silicon submerged arc furnace A takes precedence over manganese silicon submerged arc furnace B, its energy supply is insufficient during the second time period, decreasing by 5,000 kilowatts. The electronic equipment detects a power change of 2,000 kilowatts for manganese silicon submerged arc furnace B. Therefore, it needs to recalculate the primary power and reduce it in advance to ensure that the energy supply for the second time period is met after the new primary power is reduced by 2,000 kilowatts. If this is still not met, it is necessary to retroactively adjust the previous load plan for submerged arc furnace B until all constraints are met.

[0075] With this solution, if the power change is less than the decrease, the electronic equipment will reduce the first power in advance to ensure that the load demand of the first power facility in each period is less than the energy supply, ensuring that the first power facility can operate normally in each period, thereby achieving the purpose of improving the feasibility of the load plan obtained by load forecasting.

[0076] Optionally, when the first power-consuming facility is an ore-arc furnace and the target stage is the tapping period, the electronic device determines whether there are a preset number of reference time periods within the power usage cycle, during which the power of the first power-consuming facility is less than a preset power. When the preset number of reference time periods exist within the power usage cycle, the end time of the tapping period is determined to be the time when the cumulative power consumption of the first power-consuming facility within the power usage cycle reaches a first threshold; when the preset number of reference time periods does not exist within the power usage cycle, the end time of the tapping period is determined to be the time when the cumulative power consumption of the first power-consuming facility within the power usage cycle reaches a second threshold, where the second threshold is less than the first threshold.

[0077] In an embodiment of the present application, a power consumption cycle can be divided into multiple stages, and a stage can be divided into multiple time periods. Taking the first power facility as a manganese silicon ore-fired furnace as an example, a power consumption cycle is divided into a ramp-up period, a smelting period, and an iron-making period. The ramp-up period can be divided into multiple time periods. Similarly, the smelting period and the iron-making period are also divided into multiple time periods. Since the supply of energy often fluctuates. Therefore, when the target stage is the iron-making period, the electronic device also considers the number of reference time periods in the entire power consumption cycle when determining when to end the iron-making period, that is, the number of time periods when the power is less than the preset power. When the number of reference time periods in the entire power consumption cycle is less than a preset number, the moment when the cumulative power reaches a first threshold is used as the end time of the iron-making period, that is, the end time of the current power consumption cycle. The first threshold is, for example, 210,000 kilowatt-hours (wkwh); when the number of reference time periods in the entire power consumption cycle is greater than or equal to the preset number, the moment when the cumulative power reaches a second threshold is used as the end time of the iron-making period, that is, the end time of the current power consumption cycle. The second threshold is, for example, 21.5 wkwh. The preset number is, for example, 7, 8, 10, 5, etc., which is not limited in the embodiment of the present application. Table 1 is illustrated by taking a preset number of 7 as an example.

[0078] Furthermore, embodiments of the present application do not limit the phase of the reference period. In one embodiment, the electronic device considers only the number of reference periods during the smelting period when predicting the end time of a power cycle; in another embodiment, the electronic device considers the number of reference periods during the ramp-up period and the smelting period; and in yet another embodiment, the electronic device considers the total number of reference periods during the ramp-up period, the smelting period, and the iron-tapping period.

[0079] By adopting this solution, the electronic device also considers the number of reference time periods in which the power is less than the preset power when predicting the power consumption cycle, thereby accurately predicting the end time of the power consumption cycle and achieving the purpose of improving the feasibility of the load plan obtained by load forecasting.

[0080] c. Priority of the first electricity-consuming facility.

[0081] When the total energy supplied during the second time period is less than the total energy required by the multiple power-consuming facilities, the electronic device determines the priority of each power-consuming facility. The electronic device then subtracts the energy required by the second power-consuming facility during the second time period from the total energy supplied to obtain a remaining energy. Based on the remaining energy, the electronic device determines the power difference between the first power of the first power-consuming facility during the first time period and the second power of the second time period. The priority of the second power-consuming facility is higher than the priority of the first power-consuming facility.

[0082] For example, when multiple power-consuming facilities are simultaneously using electricity, the electronic device determines energy allocation logic based on predefined priorities. Specifically, the load demand of the second power-consuming facility with a higher priority is prioritized. If the total energy supply is less than the total energy demanded by the multiple power-consuming facilities, i.e., if the energy supply is insufficient, the electronic device prioritizes reducing the planned load of the first power-consuming facility with a lower priority. For example, the total supply provides energy to the first and second power-consuming facilities. The second power-consuming facility has a higher priority than the first power-consuming facility. The total energy supply decreases by 2,000 kilowatts. The energy required by the second power-consuming facility during the second time period is subtracted from the total energy supply to obtain the remaining energy, which is then provided to the first power-consuming facility. Because the first power-consuming facility has a lower priority, the energy supply to the first power-consuming facility is prioritized, i.e., the energy supply to the first power-consuming facility is reduced by 2,000 kilowatts. The first power during the first time period is 23,000 kilowatts, and the maximum change during the power reduction is 2,000 kilowatts. Clearly, the power change is equal to the power reduction, thus ensuring a balance between energy supply and demand.

[0083] For example, if SiO2 furnace A and SiO2 furnace B are operating simultaneously, SiO2 furnace A has a higher priority than B. During load forecasting, priority should be given to ensuring that SiO2 furnace A's power is increased during the ramp-up period, stabilized during the smelting period (e.g., 36,000 kilowatts), and reduced during the tapping period. Therefore, when energy supply is insufficient, SiO2 furnace B's planned load is prioritized. If reducing SiO2 furnace B's power still fails to meet supply and demand, the planned load of SiO2 furnace A, which has a higher priority, is reduced.

[0084] By adopting this solution, the priority of each power facility is taken into account during the load forecasting process, and the load demand of the priority power facilities is met first while the supply and demand balance is met, thereby achieving the purpose of improving the quality of load planning.

[0085] d. Maintenance plan for primary power facilities.

[0086] For a first power facility with a maintenance plan, the electronic device sets the load of the first power facility to 0 during the maintenance period, meaning that no energy is required for the first power facility during the maintenance period. Therefore, during load forecasting for the first power facility, when the power cycle is the target power cycle for the date of the first power facility's maintenance plan, the electronic device determines the end time of the target power cycle and, based on the end time and the maintenance duration indicated in the maintenance plan, deducts the maintenance duration from the target time interval. The power of the first power facility during the maintenance duration is 0. The electronic device then determines the starting time period of the first power cycle after the maintenance based on the target time interval after deducting the maintenance duration. The electronic device then determines the load plan for the first power facility within the target time interval based on the power of the first power facility in each time period within the power cycle before maintenance, the time period corresponding to the maintenance duration, and the power of the first power facility in each time period within the power cycle after maintenance.

[0087] Exemplarily, the target power consumption cycle is, for example, the first power consumption cycle or the second power consumption cycle on the date of the maintenance plan, etc., and the embodiments of the present application are not limited thereto. For example, it is planned that the first power facility will be overhauled after the first power consumption cycle of the first power facility is completed on March 29. In the process of load prediction by the electronic equipment, the end time of the first power consumption cycle on March 29 is determined, and the load of the first power facility is 0 during the maintenance period starting from the end time. For example, the maintenance time is 4 hours and the end time is 9 am. During the 4 hours from 9 am to 1 pm, no energy is allocated to the first power facility, so that the load of the first power supply facility is 0. After the maintenance is completed, that is, at 1 pm, a new round of load forecasting within the power consumption cycle begins.

[0088] By adopting this solution, when making load forecast for the first power facility, the load during the maintenance period is set to 0, thereby eliminating the time period corresponding to the maintenance period. There is no need to make load plans for the maintenance period, thereby achieving the purpose of improving the feasibility of the load plan obtained by load forecasting.

[0089] Below, the load forecasting method described in the embodiment of the present application is described in detail, taking the first power-consuming facility as a manganese silicon submerged arc furnace B and the second power-consuming facility as a manganese silicon submerged arc furnace A as an example. The steps are as follows:

[0090] Step 1: Obtain the total energy supply and clarify the energy supply in each time period.

[0091] Step 2: Obtain the maintenance plan of manganese silicon submerged arc furnace A and the maintenance plan of manganese silicon submerged arc furnace B.

[0092] Step 3: Perform load forecasting on manganese silicon submerged arc furnace A. During the forecasting process, the target phase of the first time period is identified based on the accumulated power consumption of manganese silicon submerged arc furnace A, and the power change is determined based on the target phase. If the target phase is the ramp-up phase, the maximum change during the ramp-up phase is used as the power change for power increase. If the target phase is the smelting phase, the power is maintained constant. If the target phase is the tapping phase, the maximum change during the ramp-down phase is used as the power change for power reduction.

[0093] Step 4: Check the impact of the maintenance of the manganese silicon submerged arc furnace A, and eliminate the load arrangement during the maintenance period according to the corresponding maintenance rules.

[0094] Step 5: Calculate the available energy of the manganese silicon submerged arc furnace B. The available energy is the remaining energy obtained by deducting the estimated consumption of the manganese silicon submerged arc furnace A from the total energy provided by the total supply.

[0095] Step 6: Perform load forecasting for manganese silicon ore-fired furnace B. During the forecasting process, the target phase of the first time period is identified based on the accumulated power consumption of manganese silicon ore-fired furnace B, and the power change is determined based on the target phase. If energy is sufficient, when the target phase is the ramp-up period, the maximum change during the ramp-up period is used as the power change for power increase. When the target phase is the smelting period, the power remains unchanged. If energy is insufficient, a power change is calculated for the ramp-up and smelting periods based on the energy supply, and power is increased or stabilized based on this power change. If energy is extremely low, and power increase during the ramp-up period or power stability during the smelting period cannot be guaranteed, the power is reduced.

[0096] When the power decreases, if the maximum change in the decrease still cannot achieve the supply and demand balance, the first power of the manganese silicon ore arc furnace B is reduced in advance to ensure that the power decrease does not exceed the decrease speed and can meet the supply and demand balance.

[0097] Step 7: Check the impact of the maintenance of the manganese silicon submerged arc furnace B, and eliminate the load arrangement during the maintenance period according to the corresponding maintenance rules.

[0098] Step 8: Obtain the load plan of the manganese silicon submerged arc furnace A and the load plan of the manganese silicon submerged arc furnace B.

[0099] It has been verified that: taking the target data interval as 1 year and each time period as 10 minutes as an example, using approximately 52,000+ wind test data in 1 year as the supply input of wind energy, combined with the grid power with a power limit of 50,000 kilowatts and the exhaust gas power generation system of the manganese silicon ore arc furnace, the load of manganese silicon ore arc furnace A and manganese silicon ore arc furnace B is distributed throughout the year. The program runs for less than 2 minutes, and the annual comprehensive green electricity accounts for 65%.

[0100] Therefore, the solution described in the embodiment of the present application utilizes electronic equipment to automatically perform load forecasting, and even when performing load forecasting for multiple power facilities simultaneously, the load forecasting efficiency is high. Furthermore, when performing load forecasting, the solution of the present application takes into account various factors such as the stage, energy supply, and maintenance plan, and the stage reflects the operating characteristics of the power facilities, so that the predicted load plan meets process requirements, is operational and executable, and ensures the life of the power facilities. Furthermore, the load forecasting method described in the embodiment of the present application has a short operating time and high reliability.

[0101] 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.

[0102] Figure 3 Schematic diagram of a load forecasting device provided in an embodiment of the present application. The load forecasting device 300 includes: a processing module 31 , a forecasting module 32 , and a determination module 33 .

[0103] a processing module 31 configured to determine, for each power usage cycle within a target time interval, a power change between a first power in a first time period and a second power in a second time period of a first power usage facility, wherein the target time interval includes multiple power usage cycles, the first time period and the second time period are two adjacent time periods within the power usage cycle, and the end point of the first time period is the starting point of the second time period;

[0104] A prediction module 32, configured to predict a second power of the first power facility in the second time period based on the power change and the first power of the first power facility in the first time period;

[0105] The determination module 33 is configured to determine a load plan for the first power facility within the target time interval according to the power of the first power facility in each time period within each power usage cycle.

[0106] In a feasible implementation, the processing module 31 is used to determine, for each power consumption cycle within the target time interval, the cumulative power consumption of the first power facility within the power consumption cycle at the starting moment of the first time period; based on the cumulative power consumption, determine the target stage of the first power facility in the first time period, the power consumption cycle includes at least one stage, and the power change characteristics of the first power facility in the same stage are the same; determine the power change amount based on the target stage and the first power.

[0107] In a feasible implementation, when the processing module 31 determines the power change according to the target stage and the first power, it is used to determine the maximum change according to the target stage and the first power, and the maximum change is the maximum value of the difference between the first power and the second power; determine the energy supply of the first power facility in the second time period; when the supply is less than the energy required to generate the maximum change, determine the power change according to the supply.

[0108] In a feasible implementation, the processing module 31 determines the target stage of the first power facility in the first time period based on the accumulated power, and is also used to determine whether there are a preset number of reference time periods in the power cycle, and the power of the first power facility in the reference time period is less than the preset power when the first power facility is an electric arc furnace and the target stage is the iron-tapping period; when there are a preset number of reference time periods in the power cycle, it is determined that the end time of the iron-tapping period is the moment when the accumulated power of the first power facility in the power cycle reaches a first threshold; when there is no preset number of reference time periods in the power cycle, it is determined that the end time of the iron-tapping period is the moment when the accumulated power of the first power facility in the power cycle reaches a second threshold, and the second threshold is less than the first threshold.

[0109] In a feasible implementation, the prediction module 32 is used to determine the decrease in energy supplied to the first power facility, and the decrease is used to indicate the decrease in energy supplied to the first submerged arc furnace in the second time period compared with the first time period; when the decrease is greater than the power change, the first power is reduced; based on the reduced first power and the power change, the second power of the first submerged arc furnace in the second time period within the power consumption cycle is predicted.

[0110] In a feasible implementation, the processing module 31 is used to determine the priority of each power facility when the energy provided by the total supply in the second time period is lower than the total amount of energy required by multiple power facilities; subtract the energy required by the second power facility in the second time period from the energy provided by the total supply to obtain the remaining energy, and the priority of the second power facility is higher than the priority of the first power facility; and determine the power change between the first power of the first power facility in the first time period and the second power in the second time period based on the remaining energy.

[0111] In a feasible implementation, the determination module 33 is used to determine the end time of the target power consumption cycle when the power consumption cycle is the target power consumption cycle on the date of the maintenance plan of the first power facility; deduct the maintenance duration from the target time interval according to the end time and the maintenance duration indicated by the maintenance plan, and the power of the first power facility during the maintenance duration is 0; determine the starting time period of the first power consumption cycle after the maintenance according to the target time interval after deducting the maintenance duration; determine the load plan of the first power facility within the target time interval according to the power of the first power facility in each time period in each power consumption cycle before maintenance, the time period corresponding to the maintenance duration, and the power of the first power facility in each time period in each power consumption cycle after maintenance.

[0112] In a feasible implementation, the processing module 31 is used to determine the power change for each power consumption cycle within the target time interval based on at least one of the target stage of the first time period, the amount of energy supplied to the first power facility in the second time period, the priority of the first power facility and the maintenance plan of the first power facility.

[0113] 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.

[0114] Figure 4 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 4 The electronic device 400 described in the embodiment of the present application includes: at least one processor 41, at least one communication bus 42, a user interface 43, at least one network interface 44 and a memory 45.

[0115] The communication bus 42 is used to realize the connection and communication between these components.

[0116] The user interface 43 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 43 may also include a standard wired interface and a wireless interface.

[0117] The network interface 44 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0118] The processor 41 may include one or more processing cores. The processor 41 utilizes various interfaces and circuits to connect various components within the electronic device 400. It executes instructions, programs, code sets, or instruction sets stored in the memory 45, as well as accesses data stored in the memory 45, to perform various functions and process data within the electronic device 400. Optionally, the processor 41 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 41 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 41 but implemented as a separate chip.

[0119] Among them, the memory 45 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 45 includes a non-transitory computer-readable storage medium. The memory 45 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 45 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 45 may also be optionally at least one storage device located away from the aforementioned processor 41. As Figure 4As shown, the memory 45 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.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0127] 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.

[0128] 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.

[0129] 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 other identical elements in the process, method, commodity, or apparatus comprising the element.

[0130] 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: include: For each power usage cycle within a target time interval, determining a power change between a first power in a first time period and a second power in a second time period of a first power usage facility, wherein the target time interval includes multiple power usage cycles, the first time period and the second time period are two adjacent time periods within the power usage cycle, and the end point of the first time period is the starting point of the second time period; predicting a second power of the first power facility in the second time period based on the power change and the first power of the first power facility in the first time period; A load plan for the first power facility within the target time interval is determined based on the power of the first power facility in each time period within each power usage cycle.

2. The method according to claim 1, characterized in that The determining, for each power usage cycle within the target time interval, a power change of a first power of a first power facility in a first time period and a second power in a second time period includes: For each electricity consumption cycle within the target time interval, determining the accumulated power consumption of the first electricity-consuming facility within the electricity consumption cycle at the start time of the first time period; determining, based on the accumulated power consumption, a target stage of the first power-consuming facility in the first time period, wherein the power consumption cycle includes at least one stage, and power variation characteristics of the first power-consuming facility are the same within the same stage; The power variation is determined according to the target phase and the first power.

3. The method according to claim 2, characterized in that The determining the power variation according to the target stage and the first power includes: determining a maximum variation according to the target stage and the first power, the maximum variation being a maximum value of a difference between the first power and the second power; determining the energy supply of the first power facility during the second time period; When the supply amount is less than the energy required to generate the maximum change amount, the power change amount is determined according to the supply amount.

4. The method according to claim 2, characterized in that After determining the target stage of the first power-consuming facility in the first time period based on the accumulated power, the method further includes: When the first power-consuming facility is a submerged arc furnace and the target stage is a tapping period, determining whether there are a preset number of reference time periods within the power consumption cycle, during which the power of the first power-consuming facility is less than a preset power; When there are a preset number of reference time periods within the power usage cycle, determining that the end time of the iron tapping period is the time when the accumulated power consumption of the first power-consuming facility within the power usage cycle reaches a first threshold; When there is no preset number of reference time periods in the power usage cycle, the end time of the iron-making period is determined to be the time when the cumulative power consumption of the first power facility in the power usage cycle reaches a second threshold, and the second threshold is less than the first threshold.

5. The method according to claim 1, wherein The predicting, based on the power change and the first power of the first power facility in the first time period, the second power of the first power facility in the second time period includes: determining a decrease in energy supplied to the first power facility, the decrease indicating a decrease in energy supplied to the first submerged arc furnace during the second time period compared to the first time period; When the decrease amplitude is greater than the power change amount, reducing the first power; A second power of the first submerged arc furnace in a second time period within the power usage cycle is predicted according to the reduced first power and the power variation.

6. The method according to claim 1, characterized in that When energy sources of a plurality of power facilities including the first power facility are from the same main supply, determining a power change between a first power of the first power facility in a first time period and a second power of the first power facility in a second time period includes: When the energy provided by the total supply in the second time period is lower than the total amount of energy required by the plurality of power consuming facilities, determining the priority of each power consuming facility; subtracting the energy required by the second power facility during the second time period from the total energy provided to obtain a remaining energy, wherein the priority of the second power facility is higher than that of the first power facility; According to the remaining energy, a power change between a first power in a first time period and a second power in a second time period of the first electric facility is determined.

7. The method according to claim 1, characterized in that The determining, according to the power of the first power facility in each time period within each power usage cycle, a load plan for the first power facility within the target time interval includes: When the power consumption cycle is the target power consumption cycle for the maintenance schedule date of the first power-consuming facility, determining an end time of the target power consumption cycle; According to the end time and the maintenance duration indicated in the maintenance plan, the maintenance duration is deducted from the target time interval, and the power of the first power-consuming device during the maintenance duration is 0; Determine the starting time period of the first power consumption cycle after the maintenance according to the target time interval after deducting the maintenance time; Determine the load plan of the first power facility within the target time interval based on the power of the first power facility in each time period within each power usage cycle before maintenance, the time period corresponding to the maintenance duration, and the power of the first power facility in each time period within each power usage cycle after maintenance.

8. The method according to claim 1, characterized in that The determining, for each power usage cycle within the target time interval, a power change of a first power of a first power facility in a first time period and a second power in a second time period includes: For each power consumption cycle within the target time interval, the power change is determined based on at least one of the target stage of the first time period, the amount of energy supplied to the first power facility in the second time period, the priority of the first power facility and the maintenance plan of the first power facility.

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.

Images