Power consumption regulation and control method and device and storage medium

Abstract

The embodiment of the invention provides a power utilization regulation and control method and device and a storage medium. The method comprises the following steps: S1, obtaining a target load active value of a target iron and steel enterprise; s2, setting a power utilization maximum demand control target value and a power utilization maximum demand regulation and control parameter for the target load; s3, performing cyclic division simulation on the active value of the target load according to the maximum power demand regulation and control parameter to obtain a simulation result; s4, after the maximum power demand control target value and the maximum power demand regulation and control parameter are adjusted, the S3 is executed until simulation result sets are obtained, and the number of the simulation result sets meets the threshold number; and S5, according to the simulation result set, determining an optimal power utilization maximum demand control target value and an optimal power utilization maximum demand regulation and control parameter which are used for power utilization regulation and control of the target iron and steel enterprise. According to the method, the power utilization regulation and control efficiency is improved.

Description

Technical Field

[0001] This invention relates to the fields of steel and electricity, and more specifically to a method, apparatus and storage medium for electricity regulation. Background Technology

[0002] In the industrial production sector, most enterprises adopt a two-part electricity pricing model, where the basic electricity charge is based on the maximum value of the monthly electricity load curve, i.e., the maximum demand, which typically corresponds to peak electricity load periods. For steel production enterprises, electric arc furnaces and LF refining furnaces are core smelting equipment, both of which convert electrical energy into heat energy through electric arc discharge to complete the steel smelting operation. The electrical load of such equipment has typical impulsive characteristics, with its monthly maximum load value usually reaching twice the average load, and the rated power of a single unit is generally large.

[0003] Because the start-up and shutdown of electric arc furnaces and LF refining furnaces directly cause drastic fluctuations in the load at the power consumption point, large steel enterprises usually configure multiple such devices. When multiple devices start production at the same time, the load at the power consumption point will rise sharply, forming obvious load peaks; while when multiple devices stop production at the same time, the load will drop significantly, forming load troughs. This makes the overall power load curve of steel enterprises show a significant alternation of peaks and troughs.

[0004] Under the two-part electricity pricing system, maximum demand directly determines the level of basic electricity charges. Therefore, effectively controlling the peak electricity load generated during electric arc furnace smelting to reduce monthly maximum demand has become a key way for steel companies to reduce electricity costs and improve economic efficiency. The core prerequisite for achieving peak load control is determining a reasonable and feasible target value for maximum demand control. If the target value is set too low, it will lead to frequent start-ups and shutdowns of the electric arc furnace or load adjustments, potentially disrupting normal production rhythm and affecting production efficiency and product quality. If the target value is set too high, the cost-reduction effect of load control cannot be fully realized, weakening the actual value and significance of the control measures. Therefore, how to scientifically and accurately determine the target value for maximum demand control has become a core technical challenge in the electricity management of steel companies, urgently requiring solutions through reliable estimation, statistical, or simulation methods.

[0005] Currently, the mainstream approach for steel companies to determine maximum demand control targets is a combination of mathematical statistics and human experience. Specifically, companies typically collect and organize historical maximum demand data from the past few months to a year, and use the minimum, average, or median value as the control target value through statistical analysis; or they select the maximum demand corresponding to the month with the most representative production conditions (such as stable output and normal equipment operation) as the target value; or they multiply the above statistical values ​​or representative month values ​​by an empirical coefficient to obtain the final control target value.

[0006] However, this type of method has several significant drawbacks: First, when directly using the statistical values ​​(minimum, average, median) of the historical maximum demand as the control target value, the target value may be higher than the optimal control value achievable in actual production, preventing enterprises from fully tapping their cost reduction potential and failing to obtain the maximum control benefits. Second, in the method of multiplying the statistical value by an empirical coefficient, the setting of the coefficient relies entirely on human experience or subjective expectations, lacking objective data support and scientific demonstration, which can easily lead to the final control target value being too high or too low, failing to adapt to the actual production and load control needs. Third, the control target value determined by the traditional method lacks a prior simulation verification process. Its rationality, feasibility, and whether it meets production constraints cannot be predicted in advance. It can only be verified through practice during the actual load control process. This may not only lead to poor control effects but may also cause production fluctuations due to unreasonable target values, resulting in potential production risks and economic losses. Summary of the Invention

[0007] The purpose of this invention is to provide a method, apparatus, and storage medium for power regulation, which improves the efficiency of power regulation.

[0008] To achieve the above objectives, embodiments of the present invention provide a method for power regulation, the method comprising the following steps: S1: Obtain the target active power load of the target steel enterprise; S2: Set the target value for maximum electricity demand control and the maximum electricity demand regulation parameters for the target load. The maximum electricity demand regulation parameters include load control strategy mode, load control start mode, load control start relative value, load control start absolute value, maximum demand limit mode, and adjustable load strategy. S3: The simulation results are obtained by performing a cyclic deduction simulation on the active power value of the target load based on the maximum electricity demand control parameters. S4: After adjusting the maximum electricity demand control target value and the maximum electricity demand regulation parameter, execute S3 until the simulation result set is obtained. The number of simulation result sets meets the threshold number. S5: Determine the optimal maximum power demand control target value and the optimal maximum power demand regulation parameters based on the simulation result set, for use in the power consumption regulation of the target steel enterprise.

[0009] Optionally, the load control strategy mode is a power load regulation strategy when the maximum demand exceeds the limit, including the allocation mode, priority mode, long-term power-on priority mode and short-term power-on priority mode. The load control start-up mode is a start-up load control strategy set when the maximum demand is expected to exceed the limit and needs to be controlled, including relative value mode and absolute value mode; The relative value for starting the negative control is the ratio of the demand at the start of the control to the preset value of the maximum demand. The absolute value of the load control start is the difference between the demand at the start of the control and the preset value of the maximum demand. The maximum demand limit mode is either a fixed value or a dynamic value; The adjustable load strategy is used for the regulation of adjustable loads. The adjustable load includes the priority of regulating the adjustable load, the maximum number of adjustable load regulation cycles, the regulation period, the load control step value, and the minimum operating power.

[0010] Optionally, the step of performing a cyclic derivation simulation of the active power value of the target load based on the maximum electricity demand control parameters to obtain the simulation results includes: Obtain the target load active power value within a historical time period, wherein the target load active power value includes the actual active power value of the incoming line and the actual active power value of the adjustable load; Determine the real-time demand of the incoming line based on the actual active power value of the incoming line; If the real-time demand of the incoming line is less than the control start value at a certain moment, then the active power simulation value of the adjustable load is adjusted to equal the actual active power value of the adjustable load, and the active power simulation value of the incoming line is adjusted to equal the actual active power value of the incoming line. If the real-time demand of the incoming line at that moment is not less than the control start value, then the adjustable load participating in the control is selected according to the load control strategy mode and the adjustable load strategy; the active power simulation value of the adjustable load is equal to the actual active power value plus the control step value, the active power adjustment amount at that moment is equal to the active power simulation value of the incoming line minus the actual active power value, and the active power simulation value of the incoming line is equal to the actual active power value of the incoming line minus the active power adjustment amount of the adjustable load, and the active power adjustment amount is accumulated. The cumulative number of adjustments and the duration of each adjustment are considered. If the duration of a single adjustment is less than the maximum number of adjustments multiplied by the adjustment cycle, the next time step is calculated. If it is greater, the maximum demand control target value is not feasible, and the cyclical calculation is terminated. The simulated demand of the incoming line is determined based on the simulated active power value of the incoming line.

[0011] Optionally, the simulation results include whether the target value for controlling the maximum demand within a historical period is feasible, the number of adjustments, and the maximum duration of a single adjustment.

[0012] Optionally, the next time step can be calculated by first determining the real-time demand of the external power supply line at that time. If the real-time demand of the external power supply line at this moment is greater than or equal to the control start value, then continue to push it out according to the method of the previous moment; If the simulated demand of the external power supply line at this moment is greater than or equal to the control start value at the previous moment, then continue to push it out according to the method of the previous moment. If the real-time demand of the external power supply line at that moment is less than the control start value and the cumulative active power adjustment is greater than zero, then compensation is performed. If the duration of a single control is greater than or equal to the number of control times multiplied by the control cycle, then the maximum demand control target value is determined to be infeasible, and the cyclic push is exited.

[0013] Optionally, the compensation method is to adjust the active power simulation value of the adjustable load to equal the actual active power value plus the control step value, and the active power adjustment amount at that moment is equal to the active power simulation value minus the actual active power value.

[0014] On the other hand, this application also proposes an electrical control device, which includes: The first processing module is used to obtain the target load active power value of the target steel enterprise; The second processing module is used to set the target value of maximum electricity demand control and the maximum electricity demand regulation parameters for the target load. The maximum electricity demand regulation parameters include load control strategy mode, load control start mode, load control start relative value, load control start absolute value, maximum demand limit mode and adjustable load strategy. The third processing module is used to perform cyclic sub-simulation of the active power value of the target load according to the maximum power demand control parameters to obtain simulation results. The fourth processing module is used to adjust the maximum electricity demand control target value and the maximum electricity demand regulation parameter, and then execute the third processing module until the simulation result set is obtained. The number of simulation result sets meets the threshold number. The fifth processing module is used to determine the optimal maximum power demand control target value and the optimal maximum power demand regulation parameters based on the simulation result set, for power consumption regulation of the target steel enterprise.

[0015] Optionally, the load control strategy mode is a power load regulation strategy when the maximum demand exceeds the limit, including the allocation mode, priority mode, long-term power-on priority mode and short-term power-on priority mode. The load control start-up mode is a start-up load control strategy set when the maximum demand is expected to exceed the limit and needs to be controlled, including relative value mode and absolute value mode; The relative value for starting the negative control is the ratio of the demand at the start of the control to the preset value of the maximum demand. The absolute value of the load control start is the difference between the demand at the start of the control and the preset value of the maximum demand. The maximum demand limit mode is either a fixed value or a dynamic value; The adjustable load strategy is used for the regulation of adjustable loads. The adjustable load includes the priority of regulating the adjustable load, the maximum number of adjustable load regulation cycles, the regulation period, the load control step value, and the minimum operating power.

[0016] Optionally, the simulation results include whether the target value for controlling the maximum demand within a historical period is feasible, the number of adjustments, and the maximum duration of a single adjustment.

[0017] On the other hand, this application also proposes a machine-readable storage medium storing instructions for causing a machine to perform the power control method described above.

[0018] A method for power consumption regulation according to the present invention includes the following steps: S1: obtaining the target load active power value of the target steel enterprise; S2: setting the maximum demand control target value and the maximum demand regulation parameters for the target load, wherein the maximum demand regulation parameters include load control strategy mode, load control start mode, load control start relative value, load control start absolute value, maximum demand limit mode, and adjustable load strategy; S3: performing cyclic sub-simulation on the target load active power value according to the maximum demand regulation parameters to obtain simulation results; S4: adjusting the maximum demand control target value and the maximum demand regulation parameters and then executing S3 until a simulation result set is obtained, wherein the number of simulation result sets meets the threshold number; S5: determining the optimal maximum demand control target value and the optimal maximum demand regulation parameters according to the simulation result set for power consumption regulation of the target steel enterprise. This method obtains the real-time active power of the power consumption threshold and the available electrical loads such as electric arc furnaces in steel enterprises, and performs simulation through a cyclical push method. It takes into account both feasibility and profit maximization, and can obtain the optimal target value for maximum power demand control, thereby improving the efficiency of power regulation.

[0019] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0020] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart illustrating a method for controlling electricity according to the present invention; Figure 2 This is a simulation flowchart of the maximum electricity demand regulation of the present invention; Figure 3 This is a schematic diagram of the simulation process of the cyclic decrement of the present invention; Figure 4 This is a schematic diagram of an electrical control device according to the present invention.

[0021] Explanation of reference numerals in the attached figures 100 - Electrically controlled devices; 200 - First Processing Module; 300 - Second processing module; 400 - Third Processing Module; 500 - Fourth Processing Module; 600 - Fifth processing module. Detailed Implementation

[0022] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0023] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application all comply with relevant laws and regulations. In the embodiments of this application, certain existing industry solutions such as software, components, and models may be mentioned. These should be considered exemplary, intended only to illustrate the feasibility of implementing the technical solution of this application, and do not imply that the applicant has already used or necessarily used such solutions.

[0024] Example 1 Figure 1 This is a flowchart illustrating a method for controlling electricity according to the present invention, as shown below. Figure 1 As shown, the method includes: S1: Obtain the target active power load of the target steel enterprise.

[0025] For example, to obtain the real-time active power sequence value (i.e., the active power value of the target load) of the power supply circuit of the target steel enterprise's power consumption threshold, electric arc furnace and other loads for one or more months, the sampling frequency can be 1 second per sampling. To ensure accuracy, the sampling frequency should not be slower than 10 seconds per sampling.

[0026] S2: Set the target value for maximum electricity demand control and the maximum electricity demand regulation parameters for the target load. The maximum electricity demand regulation parameters include load control strategy mode, load control start mode, load control start relative value, load control start absolute value, maximum demand limit mode, and adjustable load strategy.

[0027] According to a specific implementation, the load control strategy mode is a power load regulation strategy when the maximum demand exceeds the limit, including an allocation mode, a priority mode, a long-term power-on priority mode, and a short-term power-on priority mode; the load control start mode is a load regulation strategy set when the maximum demand is expected to exceed the limit and regulation is required, including a relative value mode and an absolute value mode; the relative value of the load control start is the ratio of the demand at the start of regulation to the preset value of the maximum demand; the absolute value of the load control start is the difference between the demand at the start of regulation and the preset value of the maximum demand; the maximum demand limit mode is a fixed value or a dynamic value; the adjustable load strategy is a regulation strategy for adjustable loads, and the adjustable load includes the priority of regulating the adjustable load, the maximum number of adjustable load regulation cycles, the regulation period, the load control step value, and the minimum operating power.

[0028] Specifically, the load control strategy mode is the power load regulation strategy adopted when the maximum demand exceeds the limit. It generally includes a sharing mode, priority mode, long-term power-on priority mode, and short-term power-on priority mode. The load control start mode is the strategy set when load regulation is initiated if the maximum demand is expected to exceed the limit. It includes relative value mode and absolute value mode. The relative value of load control start is the ratio of the demand at the start of regulation to the preset maximum demand value; the absolute value of load control start is the difference between the demand at the start of regulation and the preset maximum demand value; the maximum demand limit mode indicates whether the maximum demand limit is a fixed value or a dynamic value. If it is a dynamic value, the maximum demand limit can be dynamically adjusted according to the actual maximum demand. The adjustable load strategy can be applied to the regulation strategy of adjustable loads. Each adjustable load includes the following regulation parameters: priority indicates the priority of the load to be regulated. If the priority mode is selected in the load control strategy mode, when the maximum demand is expected to exceed the limit, the adjustable loads will be regulated according to the priority order. The maximum number of cycles indicates the duration during which adjustable loads such as electric arc furnaces can be continuously controlled; the control cycle indicates the duration during which a single control command for adjustable loads such as electric arc furnaces is executed; the load control step value indicates the active power step value when controlling adjustable loads such as electric arc furnaces; and the minimum operating power indicates the minimum power when adjustable loads such as electric arc furnaces are running.

[0029] S3: The simulation results are obtained by performing a cyclic deduction simulation on the active power value of the target load based on the maximum power demand control parameters.

[0030] According to a specific implementation method, the step of performing cyclic deduction simulation on the active power value of the target load based on the maximum power demand control parameters to obtain simulation results includes: acquiring the active power value of the target load within a historical time period, the target load active power value including the actual active power value of the incoming line and the actual active power value of the adjustable load; determining the real-time demand of the incoming line based on the actual active power value of the incoming line; if the real-time demand of the incoming line at a certain moment is less than the control activation value, then adjusting the simulated active power value of the adjustable load to equal the actual active power value of the adjustable load, and adjusting the simulated active power value of the incoming line to equal the actual active power value of the incoming line; if the real-time demand of the incoming line at that moment is not less than the control activation value, then according to... The load control strategy and adjustable load strategy select adjustable loads to participate in regulation. The simulated active power value of the adjustable load equals the actual active power value plus the regulation step value. The active power regulation at this moment equals the simulated active power value of the incoming line minus the actual active power value. The simulated active power value of the incoming line equals the actual active power value of the incoming line minus the active power regulation of the adjustable load, and the active power regulation is accumulated. The number of regulation times and the duration of each regulation are accumulated. If the duration of each regulation is less than the maximum number of regulation times multiplied by the regulation cycle, the next time step is performed. If it is greater, the maximum demand control target value is not feasible, and the cyclical step-by-step process is terminated. The simulated demand of the incoming line is determined based on the simulated active power value of the incoming line. The simulation results include whether the maximum demand control target value is feasible within the historical time period, the number of regulation times, and the maximum duration of each regulation. During peak shifting, the active power regulation is equal to the regulation step value; during compensation, the active power regulation is equal to the negative regulation step value.

[0031] The next time step involves calculating the real-time demand of the external power supply line at that time. If the real-time demand of the external power supply line at that time is greater than or equal to the control activation value, the calculation continues using the method from the previous time step. If the simulated demand of the external power supply line at that time step is greater than or equal to the control activation value, the calculation continues using the method from the previous time step. If the real-time demand of the external power supply line at that time step is less than the control activation value and the cumulative active power regulation is greater than zero, compensation is performed. If the duration of a single control is greater than or equal to the number of control steps multiplied by the control period, the maximum demand control target value is deemed infeasible, and the cyclic calculation is terminated.

[0032] The compensation method is to adjust the active power simulation value of the adjustable load to equal the actual active power value plus the control step value, and the active power adjustment amount at this moment is equal to the active power simulation value minus the actual active power value.

[0033] S4: After adjusting the target value of the maximum electricity demand control and the maximum electricity demand regulation parameter, execute S3 until the simulation result set is obtained. The number of simulation result sets meets the threshold number.

[0034] According to a specific implementation method, real-time active power datasets over a historical period are acquired. These datasets include active power datasets from the purchased power supply line and active power datasets from the adjustable load (electric arc furnace). The real-time demand of the purchased power supply line and the total real-time demand of the entire plant are calculated using a sliding-time method based on the active power data from the incoming line. If, at a certain moment, the real-time demand of the purchased power supply line is less than the control start-up value (according to the load control start-up mode, equal to the maximum demand control target value multiplied by the relative value of the load control start-up, or the maximum demand control target value minus the absolute value of the load control start-up), then the simulated active power value of the adjustable load (electric arc furnace) is set... The active power simulated value of the purchased power supply line is equal to its actual active power value. If the real-time demand of the purchased power supply line at that moment is greater than or equal to the control start value, then the load (electric arc furnace) participating in the control is selected according to the load control strategy mode and the adjustable load strategy. Let the active power simulated value of the selected adjustable load (electric arc furnace) be equal to the actual active power value minus the load control step value. Calculate the active power adjustment amount at the current moment, which is equal to the active power simulated value minus the actual active power value. Accumulate the total active power adjustment amount, and then calculate the active power simulated value of the purchased power supply line, which is equal to its actual active power value minus the active power adjustment amount.

[0035] After calculating the simulated active power of the purchased power supply line at that moment, the simulated demand of the purchased power supply line and the total simulated demand of the entire plant at that moment are calculated accordingly. Then, the number of control operations and the duration of each control operation are accumulated. If the duration of each control operation is less than the maximum number of control operations multiplied by the control period, the next time step is initiated. If it is greater, the maximum demand control target value is determined to be infeasible, and the cyclical initiation is terminated. For the initiation of the next time step, the real-time demand of the purchased power supply line and the total real-time demand of the entire plant at that moment are calculated first.

[0036] If the real-time demand of the purchased power supply line at this moment is greater than or equal to the control activation value, then continue the distribution process according to the method of the previous moment; otherwise, proceed to the next step. If the simulated demand of the purchased power supply line at this moment is greater than or equal to the control activation value of the previous moment, then continue the distribution process according to the method of the previous moment. If the real-time demand of the purchased power supply line at this moment is less than the control activation value and the cumulative active power regulation is greater than 0, then compensation is performed. The compensation method is to make the simulated active power value of the adjustable load equal to its actual active power value plus the control step value. The active power regulation at this moment is equal to the simulated active power value minus the actual active power value, and the active power regulation is accumulated. The simulated active power value of the purchased power supply line is equal to its actual active power value minus the active power regulation at this moment, and the number of control operations is accumulated. The single control duration is considered. If the single control duration is greater than or equal to the number of controls multiplied by the control cycle, the maximum demand control target value is deemed infeasible, and the cyclic push is exited. If the real-time demand of the purchased power supply line at that moment is less than the control start value and the cumulative active power adjustment is less than or equal to 0, then the simulated active power value of the adjustable load (electric arc furnace) is set equal to its actual active power value, and the simulated active power value of the purchased power supply line is set equal to its actual active power value. After calculating the simulated active power value of the purchased power supply line at that moment, the simulated demand of the purchased power supply line at that moment is calculated accordingly. This process is repeated to calculate the simulated active power value of the purchased power supply line, the simulated active power value of the adjustable load, the simulated demand of the purchased power supply line, and the total simulated demand of the entire plant at each moment, until all historical data are simulated. Then, the maximum value of the total demand of the entire plant and the simulated demand are calculated monthly, and the difference between the two is calculated to obtain the monthly maximum demand reduction corresponding to the maximum demand control target value. Then, the number of controls and the maximum duration of a single control are calculated monthly.

[0037] S5: Determine the optimal maximum power demand control target value and the optimal maximum power demand regulation parameters based on the simulation result set, for use in the power consumption regulation of the target steel enterprise.

[0038] According to a specific implementation method, such as Figure 2As shown, a maximum demand control target value is preset. Using the aforementioned real-time active power sequence, the demand at the power consumption threshold and the power load of electric arc furnaces are calculated periodically. If the demand at the power consumption threshold is greater than the control activation value, it indicates that the power demand has peaked and peak shaving is required. A cyclical shift simulation is then initiated, first reducing the real-time active power of the electric arc furnaces, and then compensating for the reduction after peak shaving, similar to peak shaving and valley filling. If the active power compensation can be completed within the maximum number of cyclic shift simulations, the preset value is considered feasible; if it cannot be completed within the maximum number of cyclic shift simulations, it indicates that load control cannot be completed within an acceptable time, and the preset value is not feasible. When the preset value passes a full month of simulation, it is considered reasonable and feasible for that month and can be used as the maximum demand control target value. The number of continuous controls and the duration of each continuous control are recorded to compare the impact of different preset values ​​on the adjustable load. A new maximum demand control target value is set. If the preset value is feasible, the new preset value can be reduced to continue the simulation. If this is not feasible, the new preset value can be appropriately increased. Compile all preset values ​​and simulation results (feasibility, number of consecutive adjustments, and duration of each consecutive adjustment), and determine the optimal target value for maximum electricity demand control after comprehensive evaluation. The comprehensive evaluation can use the minimum feasible preset value, the minimum number of adjustments, or a comprehensive scoring method.

[0039] This application proposes a simulation method for controlling the maximum electricity demand of steel enterprises. The main method involves collecting real-time active power values ​​from adjustable loads such as power consumption thresholds and electric arc furnaces in the steel enterprise. A target value for maximum electricity demand control is initially preset. Using the collected real-time active power values ​​from these thresholds and furnaces, a cyclical push method is employed to simulate the electricity load and demand during maximum demand control. The simulation results are used to determine the rationality of the preset value. After multiple simulations, an optimal preset value is selected as the target value for maximum electricity demand control.

[0040] Example 2 A steel conglomerate has a 220kV main step-down substation equipped with three 150MVA main transformers (two in operation and one on standby). The power consumption threshold is located on the high-voltage side of the 220kV main transformer, and basic electricity charges are paid based on maximum demand. The steelmaking plant has three LF refining furnaces, each with a 26MVA transformer. The molten steel is heated via arc discharge. To reduce maximum demand and lower basic electricity costs, the company plans to regulate maximum demand. This application simulates the company's maximum demand regulation, providing technical support for electricity consumption decisions.

[0041] First, real-time active power data of the power consumption thresholds and three LF refining furnaces were collected between April and May 2025. The power demand values ​​of the power consumption thresholds were calculated, and the maximum monthly demand values ​​of the power consumption thresholds were obtained, as shown in Table 1.

[0042] Table 1:

[0043] Based on the power demand at the critical points and the process characteristics of the LF furnace, three sets of maximum demand limits and LF furnace load control parameters were set, as shown in Table 2.

[0044] Table 2:

[0045] After determining the possible maximum demand control parameters, a simulation was conducted using a cyclical push method, such as... Figure 3 As shown in Table 3, simulation results for each set of load control parameters were obtained based on the above simulation process. These results include whether the limit is feasible, the cumulative maximum demand reduction, the total number of control operations, the proportion of control duration, the maximum proportion of daily control duration, and the maximum number of daily control operations.

[0046] Table 3:

[0047] Simulation results show that load control parameter sets 1, 2, and 3 are feasible, while load control parameter set 4 is not feasible due to the excessively long load control duration potentially impacting production. Comparing the results of load control parameter sets 1, 2, and 3, it can be seen that load control parameter set 3 achieves the largest cumulative reduction in maximum demand, while the control duration and frequency are acceptable. Based on comprehensive analysis, load control parameter set 3 can be considered a suitable maximum demand control parameter, and the monthly maximum demand limit can be set to 83,000 kW.

[0048] To facilitate the application of this method to simulate and regulate maximum electricity demand, this application develops offline simulation software for regulating maximum electricity demand in steel enterprises. The software has the following functions: simulation project management (allowing users to create, open, and close simulation projects and view simulation project information); load control simulation (allowing users to configure load control parameter sets and start and stop simulations); simulation result analysis (after simulation completion, users can view the overall simulation results, including whether the maximum demand limit is appropriate, the regulation time period, and the actual and simulated active power values ​​of corresponding power consumption thresholds, electric arc furnaces, and other adjustable loads; it also allows users to view monthly and daily real-time and simulated demand values, facilitating analysis of the regulation response of adjustable loads under different limits); and electricity consumption analysis (providing statistical analysis functions for power consumption thresholds and adjustable loads in steel enterprises, such as monthly and daily average, maximum, median, 95% probability values ​​of active power and demand, and data distribution). It can also perform correlation analysis between adjustable loads and power consumption thresholds.

[0049] This invention employs a cyclical push method. By presetting the maximum electricity demand control target value, it simulates and analyzes the demand at the critical point of steel enterprises and the available power loads such as electric arc furnaces. This allows for more accurate and reasonable load control settings, ensuring that load control does not affect production while minimizing the maximum demand value and reducing basic electricity costs, thereby achieving cost reduction and efficiency improvement.

[0050] Example 3 Figure 4 This is a schematic diagram of an electrical control device according to the present invention, as shown below. Figure 4 As shown, the power control device 100 of this application includes: The first processing module 200 is used to obtain the target load active value of the target steel enterprise; The second processing module 300 is used to set the target value of maximum power demand control and the maximum power demand regulation parameters for the target load. The maximum power demand regulation parameters include load control strategy mode, load control start mode, load control start relative value, load control start absolute value, maximum demand limit mode and adjustable load strategy. The third processing module 400 is used to perform cyclic sub-simulation of the active power value of the target load according to the maximum power demand control parameters to obtain simulation results. The fourth processing module 500 is used to adjust the maximum power demand control target value and the maximum power demand regulation parameter, and then execute the third processing module until the simulation result set is obtained. The number of simulation result sets meets the threshold number. The fifth processing module 600 is used to determine the optimal maximum power demand control target value and the optimal maximum power demand regulation parameters based on the simulation result set, for power consumption regulation of the target steel enterprise.

[0051] According to a specific implementation, the load control strategy mode is a power load regulation strategy when the maximum demand exceeds the limit, including a sharing mode, a priority mode, a long-term power-on priority mode, and a short-term power-on priority mode; the load control start-up mode is a load regulation strategy set when the maximum demand is expected to exceed the limit and regulation is required, including a relative value mode and an absolute value mode; the relative value of the load control start-up is the ratio of the demand at the start of regulation to the preset value of the maximum demand; the absolute value of the load control start-up is the difference between the demand at the start of regulation and the preset value of the maximum demand; the maximum demand limit mode is a fixed value or a dynamic value; the adjustable load strategy is a regulation strategy for adjustable loads, and the adjustable load includes the priority of regulating the adjustable load, the maximum number of adjustable load regulation cycles, the regulation period, the load control step value, and the minimum operating power. The simulation results include whether the maximum demand control target value is feasible within a historical time period, the number of regulation cycles, and the maximum duration of a single regulation.

[0052] This device acquires real-time active power data from the power consumption thresholds of steel enterprises and available electrical loads such as electric arc furnaces. Through cyclical push simulation, it balances feasibility and profit maximization, thereby obtaining the optimal target value for maximum power demand control and improving the efficiency of power regulation.

[0053] This device uses a cyclical push method to simulate the demand at critical points in steel enterprises and the impactful power loads of electric arc furnaces, determining the load changes when load regulation is implemented to avoid exceeding the maximum demand limit. Based on the simulation results, a method is used to determine the monthly maximum demand target value according to the principles of economy and no impact on production.

[0054] A method for power consumption regulation according to the present invention includes the following steps: S1: obtaining the target load active power value of the target steel enterprise; S2: setting the maximum demand control target value and the maximum demand regulation parameters for the target load, wherein the maximum demand regulation parameters include load control strategy mode, load control start mode, load control start relative value, load control start absolute value, maximum demand limit mode, and adjustable load strategy; S3: performing cyclic sub-simulation on the target load active power value according to the maximum demand regulation parameters to obtain simulation results; S4: adjusting the maximum demand control target value and the maximum demand regulation parameters and then executing S3 until a simulation result set is obtained, wherein the number of simulation result sets meets the threshold number; S5: determining the optimal maximum demand control target value and the optimal maximum demand regulation parameters according to the simulation result set for power consumption regulation of the target steel enterprise. This method obtains the real-time active power of the power consumption threshold and the available electrical loads such as electric arc furnaces in steel enterprises, and performs simulation through a cyclical push method. It takes into account both feasibility and profit maximization, and can obtain the optimal target value for maximum power demand control, thereby improving the efficiency of power regulation.

[0055] The power control device 100 includes a processor and a memory. The first processing module 200, the second processing module 300, the third processing module 400, the fourth processing module 500, and the fifth processing module 600 are all stored in the memory as program units. The processor executes the program units stored in the memory to realize the corresponding functions.

[0056] The processor contains a core, which retrieves the corresponding program units from memory. One or more cores can be configured, and adjusting core parameters can improve power consumption efficiency.

[0057] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0058] This invention provides a storage medium storing a program that, when executed by a processor, implements the power consumption control method.

[0059] This invention provides a processor for running a program, wherein the program executes the power consumption control method during runtime.

[0060] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs the following steps: S1: Obtain the target load active power value of the target steel enterprise; S2: Set the maximum demand control target value and maximum demand regulation parameters for the target load. The maximum demand regulation parameters include load control strategy mode, load control start mode, load control start relative value, load control start absolute value, maximum demand limit mode, and adjustable load strategy; S3: Perform cyclic sub-simulation on the target load active power value according to the maximum demand regulation parameters to obtain simulation results; S4: After adjusting the maximum demand control target value and maximum demand regulation parameters, execute S3 until a simulation result set is obtained, the number of which meets a threshold quantity; S5: Determine the optimal maximum demand control target value and optimal maximum demand regulation parameters based on the simulation result set for power control of the target steel enterprise. The device in this document can be a server, PC, PAD, mobile phone, etc.

[0061] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program with the following method steps: S1: Obtain the target load active power value of the target steel enterprise; S2: Set the maximum demand control target value and maximum demand regulation parameters for the target load, wherein the maximum demand regulation parameters include load control strategy mode, load control start mode, load control start relative value, load control start absolute value, maximum demand limit mode, and adjustable load strategy; S3: Perform cyclic sub-simulation on the target load active power value according to the maximum demand regulation parameters to obtain simulation results; S4: After adjusting the maximum demand control target value and maximum demand regulation parameters, execute S3 until a simulation result set is obtained, the number of which satisfies a threshold number; S5: Determine the optimal maximum demand control target value and optimal maximum demand regulation parameters according to the simulation result set for power consumption regulation of the target steel enterprise.

[0062] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0063] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0064] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0065] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0066] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0067] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0068] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, 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 technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0069] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0070] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for electrical control, characterized in that, The method includes the following steps: S1: Obtain the target active power load of the target steel enterprise; S2: Set the target value for maximum electricity demand control and the maximum electricity demand regulation parameters for the target load. The maximum electricity demand regulation parameters include load control strategy mode, load control start mode, load control start relative value, load control start absolute value, maximum demand limit mode, and adjustable load strategy. S3: The simulation results are obtained by performing a cyclic deduction simulation on the active power value of the target load based on the maximum electricity demand control parameters. S4: After adjusting the maximum electricity demand control target value and the maximum electricity demand regulation parameter, execute S3 until the simulation result set is obtained. The number of simulation result sets meets the threshold number. S5: Determine the optimal maximum power demand control target value and the optimal maximum power demand regulation parameters based on the simulation result set, for use in the power consumption regulation of the target steel enterprise.

2. The method according to claim 1, characterized in that, The load control strategy mode is the power load regulation strategy when the maximum demand exceeds the limit, including the allocation mode, priority mode, long-term power-on priority mode and short-term power-on priority mode. The load control start-up mode is a start-up load control strategy set when the maximum demand is expected to exceed the limit and needs to be controlled, including relative value mode and absolute value mode; The relative value for starting the negative control is the ratio of the demand at the start of the control to the preset value of the maximum demand. The absolute value of the load control start is the difference between the demand at the start of the control and the preset value of the maximum demand. The maximum demand limit mode is either a fixed value or a dynamic value; The adjustable load strategy is used for the regulation of adjustable loads. The adjustable load includes the priority of regulating the adjustable load, the maximum number of adjustable load regulation cycles, the regulation period, the load control step value, and the minimum operating power.

3. The method according to claim 1, characterized in that, The simulation results obtained by performing cyclic derivation simulation on the active power value of the target load based on the maximum electricity demand control parameters include: Obtain the target load active power value within a historical time period, wherein the target load active power value includes the actual active power value of the incoming line and the actual active power value of the adjustable load; Determine the real-time demand of the incoming line based on the actual active power value of the incoming line; If the real-time demand of the incoming line is less than the control start value at a certain moment, then the active power simulation value of the adjustable load is adjusted to equal the actual active power value of the adjustable load, and the active power simulation value of the incoming line is adjusted to equal the actual active power value of the incoming line. If the real-time demand of the incoming line at that moment is not less than the control start value, then the adjustable load participating in the control is selected according to the load control strategy mode and the adjustable load strategy; the active power simulation value of the adjustable load is equal to the actual active power value plus the control step value, the active power adjustment amount at that moment is equal to the active power simulation value of the incoming line minus the actual active power value, and the active power simulation value of the incoming line is equal to the actual active power value of the incoming line minus the active power adjustment amount of the adjustable load, and the active power adjustment amount is accumulated. The cumulative number of adjustments and the duration of each adjustment are considered. If the duration of a single adjustment is less than the maximum number of adjustments multiplied by the adjustment cycle, the next time step is calculated. If it is greater, the maximum demand control target value is not feasible, and the cyclical calculation is terminated. The simulated demand of the incoming line is determined based on the simulated active power value of the incoming line.

4. The method according to claim 1 or 3, characterized in that, The simulation results include whether the target value for controlling the maximum demand within a historical period is feasible, the number of adjustments, and the maximum duration of a single adjustment.

5. The method according to claim 3, characterized in that, The next time step is to first calculate the real-time demand of the external power supply line at that time. If the real-time demand of the external power supply line at this moment is greater than or equal to the control start value, then continue to push it out according to the method of the previous moment; If the simulated demand of the external power supply line at this moment is greater than or equal to the control start value at the previous moment, then continue to push it out according to the method of the previous moment. If the real-time demand of the external power supply line at that moment is less than the control start value and the cumulative active power adjustment is greater than zero, then compensation is performed. If the duration of a single control is greater than or equal to the number of control times multiplied by the control cycle, then the maximum demand control target value is determined to be infeasible, and the cyclic push is exited.

6. The method according to claim 5, characterized in that, The compensation method is to adjust the active power simulation value of the adjustable load to equal the actual active power value plus the control step value, and the active power adjustment amount at this moment is equal to the active power simulation value minus the actual active power value.

7. An electrically controlled device, characterized in that, The device includes: The first processing module is used to obtain the target load active power value of the target steel enterprise; The second processing module is used to set the target value of maximum electricity demand control and the maximum electricity demand regulation parameters for the target load. The maximum electricity demand regulation parameters include load control strategy mode, load control start mode, load control start relative value, load control start absolute value, maximum demand limit mode and adjustable load strategy. The third processing module is used to perform cyclic sub-simulation of the active power value of the target load according to the maximum power demand control parameters to obtain simulation results. The fourth processing module is used to adjust the maximum electricity demand control target value and the maximum electricity demand regulation parameter, and then execute the third processing module until the simulation result set is obtained. The number of simulation result sets meets the threshold number. The fifth processing module is used to determine the optimal maximum power demand control target value and the optimal maximum power demand regulation parameters based on the simulation result set, for power consumption regulation of the target steel enterprise.

8. The apparatus according to claim 7, characterized in that, The load control strategy mode is the power load regulation strategy when the maximum demand exceeds the limit, including the allocation mode, priority mode, long-term power-on priority mode and short-term power-on priority mode. The load control start-up mode is a start-up load control strategy set when the maximum demand is expected to exceed the limit and needs to be controlled, including relative value mode and absolute value mode; The relative value for starting the negative control is the ratio of the demand at the start of the control to the preset value of the maximum demand. The absolute value of the load control start is the difference between the demand at the start of the control and the preset value of the maximum demand. The maximum demand limit mode is either a fixed value or a dynamic value; The adjustable load strategy is used for the regulation of adjustable loads. The adjustable load includes the priority of regulating the adjustable load, the maximum number of adjustable load regulation cycles, the regulation period, the load control step value, and the minimum operating power.

9. The apparatus according to claim 7, characterized in that, The simulation results include whether the target value for controlling the maximum demand within a historical period is feasible, the number of adjustments, and the maximum duration of a single adjustment.

10. A machine-readable storage medium storing instructions thereon, characterized in that, This instruction is used to cause the machine to perform the power control method as described in any one of claims 1-6 of this application.

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