Peak-avoiding and valley-choosing energy-saving control method and system

Abstract

The present application relates to a kind of avoid peak valley energy-saving control method and system, it is related to industrial equipment intelligent energy-saving control technical field, it includes: current time point, power price data and the operating parameter of double-tower adsorption dryer are collected;With current time point and operating parameter, double-tower switching time point is generated;Through double-tower switching time point, power price data, current time point and operating parameter, regeneration start time point is generated;Combining double-tower switching time point and regeneration start time point forms operating control information, and operating control information is output to double-tower adsorption dryer.The present application has the effect of improving the energy utilization of double-tower adsorption dryer.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent energy-saving control of industrial equipment, and in particular to a peak-avoiding and valley-adopting energy-saving control method and system. BACKGROUND

[0002] The core of the technical field of intelligent energy-saving control of industrial equipment is to dynamically optimize the running period and running parameters of high-energy-consumption equipment in industrial production by combining automatic control, data collection and analysis with energy supply and demand rules, so as to reduce energy waste, reduce energy consumption costs, and ensure stable operation of the equipment.

[0003] A double-tower adsorption dryer is a key equipment of an industrial compressed air system. The two towers of the double-tower adsorption dryer are completely identical and are internally filled with a drying agent. When one of the towers is performing adsorption (drying air), the other tower must be performing regeneration (restoring the drying agent capacity). Currently, the running control mode of the double-tower adsorption dryer generally adopts a fixed cycle regeneration mode, that is, a fixed regeneration time length and double-tower switching interval are set for control, so that the double-tower adsorption dryer can achieve simple and reliable operation.

[0004] When the double-tower adsorption dryer is controlled to run by using a fixed regeneration time length and double-tower switching interval, the regeneration gas quantity and heating time are fixed regardless of the actual load of the compressed air system. However, the actual load of most factories fluctuates, and there are low-load periods such as at night, on weekends, or during the off-season, which can easily result in high energy waste. SUMMARY

[0005] In order to improve the energy utilization rate of the double-tower adsorption dryer, the present application provides a peak-avoiding and valley-adopting energy-saving control method and system.

[0006] In a first aspect, the present application provides a peak-avoiding and valley-adopting energy-saving control method, which adopts the following technical solution:

[0007] A peak-avoiding and valley-adopting energy-saving control method, comprising:

[0008] S1: collecting a current time point, electricity price data, and running parameters of a double-tower adsorption dryer;

[0009] S2: generating a double-tower switching time point based on the current time point and the running parameters;

[0010] S3: generating a regeneration start time point based on the double-tower switching time point, the electricity price data, the current time point, and the running parameters;

[0011] S4: forming running control information by combining the double-tower switching time point and the regeneration start time point, and outputting the running control information to the double-tower adsorption dryer.

[0012] By adopting the technical scheme, the current time point, the electricity price data and the operation parameter are collected, and the double-tower switching time point and the regeneration starting time point are analyzed and generated to form the operation control information, and the operation control information is output to the double-tower adsorption dryer, so that the dryer can operate according to the actual situation, and the energy utilization rate of the double-tower adsorption dryer is improved.

[0013] Optionally, the method for generating the double-tower switching time point comprises:

[0014] S21: retrieving real-time operation power according to the operation parameter;

[0015] S22: determining half-cycle duration according to the real-time operation power;

[0016] S23: determining the double-tower switching time point based on the current time point and the half-cycle duration.

[0017] By adopting the technical scheme, the double-tower switching time point is determined by combining the current time point and the dynamically adjusted half-cycle duration, so that the switching opportunity can be accurately grasped, and the stable operation and efficient work of the dryer are ensured.

[0018] Optionally, the method for generating the regeneration starting time point comprises:

[0019] S31: determining regeneration duration according to the operation parameter;

[0020] S32: determining last starting time point according to the regeneration duration and the double-tower switching time point;

[0021] S33: determining regeneration time range by means of the last starting time point and the current time point;

[0022] S34: determining selected time node by means of the regeneration time range;

[0023] S35: calculating selected node electricity price according to the selected time node, the electricity price data and the regeneration duration;

[0024] S36: calculating current time electricity price according to the current time point, the electricity price data and the regeneration duration;

[0025] S37: selecting, as the regeneration starting time point, a time point corresponding to a minimum value of the selected node electricity price and the current time electricity price.

[0026] By adopting the technical scheme, the current time electricity price is determined through analysis, the time point corresponding to the minimum value is selected as the lowest electricity cost time point, and the lowest electricity cost time point is taken as the regeneration start time point, so that the peak-valley electricity price difference is fully utilized, and regeneration is performed in the electricity price valley period, thereby effectively reducing the operation cost of the dryer.

[0027] Optionally, the selection method of the time node comprises:

[0028] S341: selecting each minute as a range time node according to the regeneration time range;

[0029] S342: calling a node number value according to the range time node;

[0030] S343: collecting control device model information;

[0031] S344: determining a computing capacity number value by means of the control device model information;

[0032] S345: judging whether the computing capacity number value is greater than the node number value;

[0033] S346: if yes, taking all the range time nodes as the selected time nodes;

[0034] S347: if no, selecting a rough minimum electricity price time point through the regeneration time range and the electricity price data;

[0035] S348: determining a rough selected node according to the rough minimum electricity price time point and a preset interval reference time value, and taking the rough selected node as the selected time node.

[0036] By adopting the technical scheme, whether the computing capacity number value is greater than the node number value is judged, when it is greater, all the range time nodes are taken as the selected time nodes, the electricity prices of all possible time points can be most comprehensively compared, so that the optimal regeneration start time is selected, when it is not greater, it indicates that the computing capacity is insufficient at this time, then a rough minimum electricity price time point is selected through the regeneration time range and the electricity price data, and then a rough selected node is determined according to the rough minimum electricity price time point and a preset interval reference time value and taken as the selected time node, so that through a reasonable simplification strategy, a relatively optimal regeneration start time can still be determined approximately, and the calculation amount and the optimization effect are balanced.

[0037] Optionally, the selection method of the rough minimum electricity price time point comprises:

[0038] S3471: selecting a range electricity value and a single electricity price time range from the electricity price data according to the regeneration time range;

[0039] S3472: determining an overlapping electricity price time range according to the single electricity price time range and the regeneration time range;

[0040] S3473: calling an overlapping electricity price duration through the overlapping electricity price time range;

[0041] S3474: judging whether the overlapping electricity price duration is greater than the regeneration duration;

[0042] S3475: if yes, selecting a smaller value of the range electricity value, and taking a starting time of the corresponding overlapping electricity price time range as the rough minimum electricity price time point;

[0043] S3476: if no, selecting a cross-range selection time point according to the overlapping electricity price duration and the regeneration duration, and taking the cross-range selection time point as the rough minimum electricity price time point.

[0044] By adopting the above technical solution, whether the overlapping electricity price duration is greater than the regeneration duration is judged, when all are greater than, a smaller value of the range electricity value is selected to determine the rough minimum electricity price time point, when not all are greater than, a cross-range selection time point is selected according to the overlapping electricity price duration and the regeneration duration and taken as the rough minimum electricity price time point, so that the approximate minimum electricity price time point is determined more flexibly and accurately in a complex electricity price environment, and a foundation is laid for subsequent determination of a more accurate regeneration start time.

[0045] Optionally, the determination method of the cross-range selection time point comprises:

[0046] S34761: calculating a difference value of each of the overlapping electricity price duration and the regeneration duration as a duration deviation value;

[0047] S34762: determining a duration deviation adjustment value according to the duration deviation value;

[0048] S34763: calculating a difference value of adjacent range electricity values as an adjacent electricity price deviation value;

[0049] S34764: determining an electricity price deviation adjustment value according to the adjacent electricity price deviation value;

[0050] S34765: sorting the range electricity values from small to large, and determining an electricity price sorting initial result value according to a sorting result;

[0051] S34766: determining an electricity price sorting adjustment result value through the electricity price sorting initial result value, the duration deviation adjustment value and the electricity price deviation adjustment value;

[0052] S34767: determining the sorting selection time point according to the electric price sorting adjustment result value, and taking the sorting selection time point as the cross-range selection time point.

[0053] By adopting the above technical solution, the range electric value is sorted from small to large, the electric price sorting initial result value is determined according to the sorting result, the electric price sorting adjustment result value is determined based on the electric price sorting initial result value, the time length deviation adjustment value and the electric price deviation adjustment value, and finally the sorting selection time point is determined according to the electric price sorting adjustment result value and taken as the cross-range selection time point. Therefore, a relatively optimal cross-range selection time point can be accurately determined under complex electric price and time length conditions, the accuracy of determining the renewable start time under complex conditions is improved, and the electricity cost is further reduced.

[0054] Optionally, after taking the rough selection node as the selection time node, the method further comprises:

[0055] S3481: determining a rough interval time value according to the rough minimum electric price time point and the last start time point;

[0056] S3482: when the rough interval time value is less than a preset interval reference time value, determining an adjustment selection time range by advancing the rough minimum electric price time point by the preset interval reference time value and the last start time point;

[0057] S3483: redetermining the rough selection node according to the adjustment selection time range.

[0058] By adopting the above technical solution, the rough interval time value is determined, and when the rough interval time value is less than the preset interval reference time value, the adjustment selection time range is determined and the rough selection node is redetermined, thereby further optimizing the accuracy of the selection time node.

[0059] Optionally, after outputting the operation control information to the double-tower adsorption dryer, the method further comprises:

[0060] S41: collecting a current time point as an operation time point;

[0061] S42: when the operation time point reaches the double-tower switching time point, retrieving a dew point temperature value according to the operation parameter;

[0062] S43: determining whether the dew point temperature value reaches a preset dew point temperature standard value;

[0063] S44: if yes, continuing to output the operation control information;

[0064] S45: If no, determine a temperature deviation value by the dew point temperature value and a preset dew point temperature compliance value;

[0065] S46: Determine a dew point temperature change curve by the dew point temperature value;

[0066] S47: Generate a dew point temperature estimated change value according to the dew point temperature change curve;

[0067] S48: Determine a continuous regeneration time value according to the temperature deviation value and the dew point temperature estimated change value;

[0068] S49: Determine a continuous regeneration control information by the continuous regeneration time value, and output the continuous regeneration control information to the double-tower adsorption dryer.

[0069] By adopting the above technical solution, when the running time point reaches the double-tower switching time point and the dew point temperature value does not reach the preset dew point temperature compliance value, the continuous regeneration time value is determined by the temperature deviation value and the dew point temperature change curve, the continuous regeneration control information is determined and output to the double-tower adsorption dryer, so as to ensure that the dryer continuously operates to meet the production requirements for the dryness of compressed air under the condition that the regeneration is not completed.

[0070] Optionally, the generation method of the dew point temperature estimated change value comprises:

[0071] S471: Retrieve a dew point temperature change value according to the dew point temperature change curve;

[0072] S472: Determine whether the dew point temperature change value is only one;

[0073] S473: If yes, take the dew point temperature change value as the dew point temperature estimated change value;

[0074] S474: If no, retrieve a single change time value according to the dew point temperature change value;

[0075] S475: Determine a last change time proportion value by the single change time value;

[0076] S476: Select a last dew point temperature change value as a last temperature change value;

[0077] S477: Determine a change adjustment value by the last change time proportion value and the last temperature change value, and take the change adjustment value as the dew point temperature estimated change value.

[0078] By adopting the above technical solution, the dew point temperature change value is retrieved and it is determined whether there is only one value. If there is only one value, the dew point temperature change value is used as the estimated dew point temperature change value. If there is more than one value, the single change time value is retrieved and the final change time ratio value is determined. Then, the final temperature change value is selected to determine the change adjustment value and used as the estimated dew point temperature change value. This improves the accuracy of the obtained estimated dew point temperature change value, provides more reliable data support for determining the continuous regeneration time value, and thus controls the regeneration process more accurately, ensuring the drying effect and energy-saving operation of the dryer.

[0079] Secondly, this invention provides a peak-shaving and valley-utilizing energy-saving control system, which adopts the following technical solution:

[0080] A peak-shaving and valley-utilizing energy-saving control system includes:

[0081] The data acquisition module is used to collect current time data, electricity price data, operating parameters, and control equipment model information;

[0082] A memory storing a program for implementing a peak-shaving and valley-shifting energy-saving control method as described in any one of the first aspects;

[0083] The processor loads and executes programs stored in memory.

[0084] In summary, the present invention has at least one of the following beneficial technical effects:

[0085] 1. By collecting and analyzing current time points, electricity price data, and operating parameters, the switching time point of the dual towers and the start time point of regeneration are generated, thereby solving the problem of high electricity costs caused by traditional fixed regeneration periods and significantly improving energy-saving economy;

[0086] 2. By analyzing and determining the current electricity price and selecting the time point corresponding to the minimum value as the lowest electricity price time point, and then using the lowest electricity price time point as the regeneration start time point, the difference between peak and off-peak electricity prices can be fully utilized to carry out regeneration during the off-peak period, effectively reducing the operating cost of the dryer;

[0087] 3. When the operating time reaches the dual-tower switching time point but the dew point temperature value has not reached the preset dew point temperature standard value, the continuous regeneration time value is determined by the temperature deviation value and the dew point temperature change curve. The continuous regeneration control information is determined and output to the dual-tower adsorption dryer, thereby ensuring that the dryer continues to operate to meet the production requirements for compressed air dryness even if regeneration is not completed. Attached Figure Description

[0088] Figure 1 This is a flowchart of the peak-shaving and valley-shifting energy-saving control method;

[0089] Figure 2This is a flowchart illustrating the method for generating the switching time point between the two towers.

[0090] Figure 3 This is a flowchart illustrating the method for generating the regeneration start time point;

[0091] Figure 4 This is a flowchart illustrating the process of outputting operational control information to the dual-tower adsorption dryer. Detailed Implementation

[0092] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0093] A peak-shaving and valley-utilization energy-saving control method collects current time data, electricity price data, and operating parameters, analyzes and generates a dual-tower switching time point and a regeneration start time point to form operation control information, which is then output to the dual-tower adsorption dryer. When the operating time point reaches the dual-tower switching time point but the dew point temperature value has not reached the preset dew point temperature target value, the continuous regeneration time value is determined by analyzing the temperature deviation value and the dew point temperature change curve. Continuous regeneration control information is then determined and output to the dual-tower adsorption dryer, enabling the dryer to operate according to actual conditions, improving the energy utilization rate of the dual-tower adsorption dryer, and ensuring continuous operation of the dryer to meet the production requirements for compressed air dryness even when regeneration is not completed.

[0094] Reference Figure 1 This invention discloses a peak-shaving and valley-shifting energy-saving control method, which includes:

[0095] S1: Collect the current time point, electricity price data, and operating parameters of the dual-tower adsorption dryer.

[0096] The current time point refers to the real-time time at the time of data collection, which is automatically obtained through the system clock module in the preset peak-shaving and valley-harvesting energy-saving host computer. The peak-shaving and valley-harvesting energy-saving host computer is used to control the switching and regeneration operations of the dual-tower adsorption dryer.

[0097] Electricity price data refers to the set of electricity prices for each time period corresponding to the current operation of the dual-tower adsorption dryer. This data is obtained after being pre-entered by the operator. The electricity price data includes peak and off-peak electricity prices for each time period of each day in different months of the year.

[0098] Operating parameters refer to various parameters of the dual-tower adsorption dryer during operation. These parameters include real-time operating power, dew point temperature, operating status, operating mode, operating current, operating voltage, and actual heating temperature. These operating parameters are obtained by reading data from the dual-tower adsorption dryer.

[0099] S2: Generate the dual-tower switching time point based on the current time point and operating parameters.

[0100] The dual-tower switching time point refers to the specific time when the two towers of the dual-tower adsorption dryer alternately switch their working states.

[0101] By analyzing the current time point and operating parameters, the switching time point between the two towers can be generated for convenient subsequent use.

[0102] To further ensure the rationality of the dual-tower switching time, it is necessary to conduct a more detailed separate analysis and calculation of the dual-tower switching time. The specific steps are explained in detail below.

[0103] Reference Figure 2 The method for generating the switching time point between the two towers includes the following steps:

[0104] S21: Retrieve real-time operating power based on operating parameters.

[0105] Among them, the real-time operating power refers to the operating power of the dual-tower adsorption dryer at the current time. The real-time operating power is detected and obtained by a power sensor preset on the dual-tower adsorption dryer and stored in the dual-tower adsorption dryer.

[0106] S22: Determine the half-cycle duration based on real-time operating power.

[0107] The half-cycle duration refers to the length of time that a single adsorption tower in a dual-tower adsorption dryer remains in the adsorption state.

[0108] The higher the real-time operating power, the larger the volume of compressed air processed by the dryer, the faster the adsorbent absorbs moisture, and the shorter the required half-cycle time; conversely, the lower the real-time operating power, the longer the half-cycle time.

[0109] The real-time operating power is input into a preset half-cycle database to match the half-cycle duration, which facilitates subsequent use.

[0110] The half-cycle database pre-stores different real-time operating powers and their corresponding half-cycle durations. The half-cycle database is set by the operator after running each real-time operating power and collecting the corresponding half-cycle duration.

[0111] S23: Determine the switching time of the dual towers based on the current time point and the half-cycle duration.

[0112] Specifically, by using the current time point as the baseline starting point and accumulating it with the half-cycle duration, the calculation result is used as the dual-tower switching time point, thereby improving the accuracy of the obtained dual-tower switching time point.

[0113] S3: Generate the regeneration start time point by using the dual-tower switching time point, electricity price data, current time point, and operating parameters.

[0114] The regeneration start time point refers to the specific start time at which the dual-tower adsorption dryer switches from the adsorption state to the regeneration state.

[0115] By analyzing the switching time point of the dual towers, electricity price data, current time point, and operating parameters, the regeneration start time point can be generated, which facilitates subsequent control of the dual-tower adsorption dryer and achieves a balance between energy saving and efficiency.

[0116] To further ensure the rationality of the regeneration start time, it is necessary to perform a more detailed separate analysis and calculation on the regeneration start time, which will be explained in detail through the steps shown below.

[0117] Reference Figure 3 The method for generating the regeneration start time point includes the following steps:

[0118] S31: Determine the regeneration time based on the operating parameters.

[0119] Among them, regeneration time refers to the fixed or dynamic time required for the adsorption tower in the dual-tower adsorption dryer to go from the start of regeneration (desorption of moisture) to the completion of regeneration (restoration of adsorption capacity).

[0120] The dew point temperature and actual heating temperature are retrieved from the operating parameters, and the regeneration time is calculated using a preset formula, thus obtaining the regeneration time for convenient subsequent use.

[0121] The dew point temperature is the temperature at which water vapor in the compressed air inside a dual-tower adsorption dryer condenses into liquid water. The actual heating temperature is the temperature at which the dual-tower adsorption dryer is heated.

[0122] The formula for calculating regeneration time is: Regeneration time = Baseline time × (Dew point temperature value / Dew point temperature target value) × (Standard heating temperature value / Actual heating temperature value).

[0123] The reference duration refers to the regeneration time corresponding to the specifications of the dual-tower adsorption dryer under standard operating conditions. The dew point temperature target value refers to the dew point temperature that the dual-tower adsorption dryer needs to achieve under standard operating conditions. The standard heating temperature value refers to the heating temperature that the dual-tower adsorption dryer needs to achieve under standard operating conditions. The reference duration, dew point temperature target value, and standard heating temperature value are pre-input by the operator according to the specifications of the dual-tower adsorption dryer.

[0124] S32: Determine the final start time based on the regeneration duration and the switching time between the two towers.

[0125] The final start time point refers to the latest moment when the adsorption tower in the dual-tower adsorption dryer must start regeneration to ensure that the regeneration process can be completed before the dual-tower switching.

[0126] The calculation is performed using the formula for the last start time, which facilitates subsequent use. The formula for the last start time is: Last start time = Dual tower switching time - Regeneration duration.

[0127] S33: Determine the regeneration time range by using the last start time and the current time.

[0128] The regeneration time range refers to the time boundary within which the adsorption tower in the dual-tower adsorption dryer can initiate the regeneration process.

[0129] By using the current time point as the initial boundary of the time period and the last start time point as the final boundary, a regeneration time range is formed, which facilitates subsequent use.

[0130] S34: Determine the selected time node by the regeneration time range.

[0131] Among them, the selected time point refers to the candidate time point selected from the regeneration time range for subsequent calculation of electricity cost.

[0132] By selecting time points within the regeneration time range, the chosen time point is determined, facilitating subsequent use.

[0133] To further ensure the rationality of the selected time points, it is necessary to perform further separate analysis and calculation on the selected time points, which will be explained in detail through the steps shown below.

[0134] The method for selecting a time node includes the following steps:

[0135] S341: Select each minute as the range time node according to the regeneration time range.

[0136] Among them, the range time node refers to all specific time points within the regeneration time range, divided at fixed intervals of 1 minute.

[0137] By extracting each minute within the regeneration time range, the range time nodes are obtained, which facilitates subsequent use.

[0138] S342: Retrieve the number of node values ​​based on the time node range.

[0139] The number of nodes refers to the number of values ​​corresponding to the time nodes within the range.

[0140] By counting the time nodes within a range and using the count results as the node count value, it is convenient to use later.

[0141] S343: Collect control device model information.

[0142] The control equipment model information refers to the model information of the peak-shaving and valley-utilization energy-saving host computer. This model information is obtained by reading the peak-shaving and valley-utilization energy-saving host computer.

[0143] S344: Determine the numerical value of computing power based on the control equipment model information.

[0144] Among them, the computing power value refers to the maximum number of nodes that the energy-saving host computer can perform calculations on.

[0145] By inputting the control device model information into a preset model database, the calculation capability values ​​are obtained for easy subsequent use.

[0146] The model database contains a table that pre-stores information on different control equipment models and their corresponding computing capabilities. The model database is obtained by the operator after querying the peak-shaving and valley-saving host computer for each model and making pre-entry.

[0147] For example, the model database can be set to have a computing capacity of 80 units when the peak-shaving and valley-energy-saving host computer is a Siemens S7-1200 CPU1214C, and a computing capacity of 50 units when the peak-shaving and valley-energy-saving host computer is a Mitsubishi FX3U-48MT / ES-A.

[0148] S345: Determine if the computational power value is greater than the node value. If yes, proceed to S346; otherwise, proceed to S347.

[0149] Specifically, the system determines whether it is possible to directly perform calculations on each time node range by judging whether the numerical value of the computing power is greater than the numerical value of the nodes.

[0150] S346: Select all time points within the range as time points.

[0151] When the number of computing power values ​​is greater than the number of nodes, it means that calculations can be performed directly on each time node in the range. Therefore, all time nodes in the range are selected as time nodes.

[0152] S347: Select a rough minimum electricity price time point by combining the regeneration time range and electricity price data.

[0153] The rough minimum electricity price time point refers to the time point corresponding to the lowest electricity price that is roughly selected.

[0154] When the number of computing power values ​​is not greater than the number of nodes, it means that it is not possible to directly calculate the time nodes in each range. Therefore, the time point with the lowest approximate electricity price is selected and determined by the regeneration time range and electricity price data, so as to facilitate subsequent use.

[0155] To further ensure the reasonableness of the approximate minimum electricity price time point, it is necessary to conduct a further separate analysis and calculation of the approximate minimum electricity price time point, which will be explained in detail through the steps shown below.

[0156] The method for selecting the approximate lowest electricity price time point includes the following steps:

[0157] S3471: Select the range of electricity value and the individual electricity price time range from the electricity price data based on the regeneration time range.

[0158] Among them, the range of electricity value refers to the electricity price data involved within the regeneration time range.

[0159] A single electricity price time range refers to the time range corresponding to a single range of electricity prices.

[0160] By selecting the electricity price covered by the regeneration time range from the electricity price data and using it as the range electricity value, and then using the time range corresponding to the range electricity value as a single electricity price time range, it is convenient for subsequent use.

[0161] For example, the regeneration time range is from 17:50 to 18:20. During this time, the electricity price data is as follows: 08:00 to 12:00, the price is 0.52; 12:00 to 18:00, the price is 0.55; 18:00 to 21:00, the price is 0.53; and 21:00 to 08:00, the price is 0.45. Therefore, the electricity prices for this range are 0.55 and 0.53, corresponding to the individual price time ranges of 12:00 to 18:00 and 18:00 to 21:00.

[0162] S3472: Determine the overlapping electricity price time range by using the individual electricity price time range and the regeneration time range.

[0163] The overlapping electricity price time range refers to the time range corresponding to the existence of overlap.

[0164] By selecting the overlap between the individual electricity price time range and the regeneration time range, the overlapping electricity price time range is obtained, which is convenient for subsequent use.

[0165] For example, when the regeneration time range is 17:50 to 18:20, the individual electricity price time range is 12:00 to 18:00 and 18:00 to 21:00, and the overlapping electricity price time range is 17:50 to 18:00 and 18:00 to 18:20.

[0166] S3473: Retrieve the duration of overlapping electricity prices by the time range of overlapping electricity prices.

[0167] Among them, the overlapping electricity price duration refers to the time span value corresponding to the overlapping electricity price time range.

[0168] The time span corresponding to the overlapping electricity price time range is calculated and retrieved as the overlapping electricity price duration for convenient subsequent use.

[0169] For example, when the overlapping electricity price period is from 17:50 to 18:00, the overlapping electricity price period is 10 minutes.

[0170] S3474: Determine whether the duration of overlapping electricity pricing is greater than the regeneration duration. If yes, proceed to S3475; if no, proceed to S3476.

[0171] In this process, it is determined whether the overlapping electricity price duration is greater than the regeneration duration to determine whether it can be directly selected.

[0172] S3475: Select the smaller value of the range of electricity prices, and take the start time of the corresponding overlapping electricity price time range as the approximate lowest electricity price time point.

[0173] When the duration of overlapping electricity prices is greater than the duration of regeneration, it means that one of the overlapping electricity price durations can be selected directly. Therefore, the smaller value of the range electricity value is selected directly, and the start time of the overlapping electricity price time range corresponding to the selected range electricity value is taken as the rough minimum electricity price time point, so as to quickly select the rough minimum electricity price time point.

[0174] For example, when the regeneration time is only 5 minutes and the range electricity price is 0.55 and 0.53, the corresponding single electricity price time ranges are 12:00 to 18:00 and 18:00 to 21:00. In this case, 18:00 is directly selected as the approximate lowest electricity price time point.

[0175] S3476: Select the cross-range selection time point based on the overlapping electricity price duration and the regeneration duration, and use the cross-range selection time point as the approximate minimum electricity price time point.

[0176] Among them, the cross-range selection time point refers to the time point selected when the regeneration time needs to span two or more adjacent overlapping electricity price time ranges.

[0177] When the duration of overlapping electricity prices is not greater than the duration of regeneration, it means that one of the overlapping electricity price durations cannot be directly selected. Therefore, the time point for selection across the range is selected by combining the duration of overlapping electricity prices and the duration of regeneration, and the time point for selection across the range is used as the approximate minimum electricity price time point, thereby improving the accuracy of the obtained approximate minimum electricity price time point.

[0178] To further ensure the rationality of selecting time points across different ranges, it is necessary to conduct further separate analysis and calculation on the selected time points across different ranges, which will be explained in detail through the steps shown below.

[0179] The method for determining time points across a range includes the following steps:

[0180] S34761: Calculate the difference between the duration of each overlapping electricity price and the regeneration duration, and use it as the duration deviation value.

[0181] Among them, the duration deviation value refers to the deviation value corresponding to the deviation between the overlapping electricity price duration and the regeneration duration.

[0182] The difference between the duration of each overlapping electricity price and the regeneration duration is calculated, and the calculation result is used as the duration deviation value for convenient subsequent use.

[0183] S34762: Determine the duration deviation adjustment value based on the duration deviation value.

[0184] Among them, the duration deviation adjustment value refers to the adjustment value corresponding to the sorting result when adjusting it based on the duration deviation value.

[0185] Different duration deviation values ​​correspond to different duration deviation adjustment values. The larger the duration deviation value, the larger the duration deviation adjustment value.

[0186] The duration deviation value is input into a preset duration deviation database to obtain a duration deviation adjustment value, which is convenient for subsequent use.

[0187] The duration deviation database pre-stores a table showing different duration deviation ranges and their corresponding duration deviation adjustment values. The duration deviation database is preset by the operator according to actual needs.

[0188] For example, the duration deviation database can be configured to store duration deviations ranging from 0 to 5 minutes with a duration deviation adjustment value of 1; duration deviations ranging from 5 to 10 minutes with a duration deviation adjustment value of 2; and duration deviations ranging from 10 to 15 minutes with a duration deviation adjustment value of 3.

[0189] S34763: Calculate the difference in electricity prices between adjacent ranges as the adjacent electricity price deviation value.

[0190] The adjacent electricity price deviation value refers to the difference between electricity prices within adjacent overlapping electricity price time ranges.

[0191] The difference in electricity prices between adjacent ranges is calculated, and the calculation result is used as the adjacent electricity price deviation value for convenient subsequent use.

[0192] S34764: Determine the electricity price deviation adjustment value based on the adjacent electricity price deviation value.

[0193] Among them, the electricity price deviation adjustment value refers to the adjustment value corresponding to the sorting result when adjusting the ranking result based on the adjacent electricity price deviation value.

[0194] Different adjacent electricity price deviations correspond to different electricity price deviation adjustment values. The larger the adjacent electricity price deviation, the larger the electricity price deviation adjustment value.

[0195] By inputting adjacent electricity price deviation values ​​into a preset electricity price deviation database, an electricity price deviation adjustment value can be obtained for easy subsequent use.

[0196] The electricity price deviation database pre-stores a table showing different electricity price deviation ranges and their corresponding adjustment values. The electricity price deviation database is pre-configured by the operator based on actual needs.

[0197] For example, the electricity price deviation database can be configured to store the following: electricity price deviation range is 0 to 0.2 blocks, with an adjustment value of 1; electricity price deviation range is 0.2 to 0.5 blocks, with an adjustment value of 0.5 to 0.8 blocks; and electricity price deviation range is 0.8 to 1 block, with an adjustment value of 3.

[0198] S34765: Sort the electricity prices in the range from smallest to largest, and determine the initial result value of the electricity price sorting based on the sorting result.

[0199] The initial result value of the electricity price ranking refers to the corresponding sequence number value after sorting the electricity prices from smallest to largest according to the range of electricity prices.

[0200] The electricity price is sorted from smallest to largest by range, and the sequence number corresponding to the sorting result of each range is used as the initial result value for electricity price sorting, which is convenient for subsequent use.

[0201] S34766: Determine the adjusted result value of the electricity price ranking by using the initial result value of the electricity price ranking, the time deviation adjustment value, and the electricity price deviation adjustment value.

[0202] Among them, the electricity price ranking adjustment result value refers to the corresponding serial number value after the serial number is adjusted.

[0203] The initial result of the electricity price ranking, the duration deviation adjustment value, and the sum of the electricity price deviation adjustment values ​​are calculated, and the calculation result is used as the electricity price ranking adjustment result value for convenient subsequent use.

[0204] S34767: Determine the sorting selection time point based on the electricity price sorting adjustment result value, and use the sorting selection time point as the cross-range selection time point.

[0205] Among them, the sorting selection time point refers to the time point selected based on the sorting situation.

[0206] By selecting the minimum value from the electricity price ranking adjustment results and using the corresponding time point as the ranking selection time point, and then using the ranking selection time point as the cross-range selection time point, the accuracy of the obtained cross-range selection time point is improved.

[0207] S348: Determine the coarse selection node based on the coarse minimum electricity price time point and the preset interval reference time value, and use the coarse selection node as the selection time node.

[0208] The interval reference time value refers to the interval time value corresponding to the rough electricity price calculation. The interval reference time value is obtained after being pre-input by the operator. The interval reference time value is preset by the operator according to the actual situation. The interval reference time value can be set to 5 minutes, 10 minutes, or 30 minutes. In this embodiment, the interval reference time value is 30 minutes.

[0209] By using the approximate lowest electricity price time point as the starting point, and pushing the approximate lowest electricity price time point forward and backward according to the preset interval benchmark time value, the time point corresponding to the forward push is used as the starting boundary of the range, and the time point corresponding to the backward push is used as the ending boundary of the range, thus forming a coarse selection time range. The time nodes corresponding to each minute within the coarse selection time range are used as coarse selection nodes, and then the coarse selection nodes are used as selection time nodes, thereby matching the computing power of the peak-shaving and valley-saving host computer to meet the needs of subsequent calculation of electricity costs for each node.

[0210] To further ensure the rationality of the regeneration time, it is necessary to perform a further separate analysis and calculation of the regeneration time, which will be explained in detail through the steps shown below.

[0211] After roughly selecting nodes as time nodes, the following steps are also included:

[0212] S3481: Determine the approximate interval time value based on the approximate minimum electricity price time point and the last start time point.

[0213] The rough interval time value refers to the interval between the rough minimum electricity price time point and the final start time point.

[0214] The interval between the approximate lowest electricity price point and the final start time point is calculated and used as a rough interval value for convenient subsequent use.

[0215] S3482: When the approximate interval time value is less than the preset interval reference time value, the preset interval reference time value is advanced by the approximate lowest electricity price time point and the selected time range is determined by the last start time point.

[0216] Among them, adjusting the selection time range refers to the time range corresponding to the selection of coarsely selected nodes.

[0217] When the approximate interval time value is less than the preset interval reference time value, it means that the approximate selected time range needs to be redefined. Therefore, by taking the time point corresponding to the approximate lowest electricity price time point before and after as the starting boundary of the range, and taking the last starting time point as the ending boundary of the range, the selected time range is adjusted for convenient use in the future.

[0218] S3483: Re-determine the coarsely selected nodes based on the adjusted time range.

[0219] Specifically, by adjusting and selecting the time nodes corresponding to each minute within the selected time range and using them as coarse selection nodes, the accuracy of the obtained coarse selection nodes is improved.

[0220] S35: Calculate the selected node electricity price based on the selected time node, electricity price data, and regeneration duration.

[0221] Among them, the selected node price refers to the total electricity price required during the regeneration period after selecting the time node as the start time of regeneration.

[0222] By inputting the selected time node, electricity price data, and regeneration duration into the peak-shaving and valley-economy-saving host computer, the selected time node is used as the starting time, the regeneration duration is used as the time range for continuous electricity price calculation, and the total electricity price is calculated based on the unit time power consumption and electricity price data preset according to the specifications of the dual-tower adsorption dryer, thus obtaining the selected node electricity price for convenient subsequent use.

[0223] S36: The current time electricity price is calculated based on the current time point, electricity price data, and regeneration duration.

[0224] The current time electricity price refers to the total electricity price required during the regeneration period after taking the current time point as the start time of regeneration.

[0225] By inputting the current time, electricity price data, and regeneration duration into the peak-shaving and valley-economy-saving host computer, the current time is used as the starting time, the regeneration duration is used as the time range for continuous electricity price calculation, and the total electricity price is calculated based on the unit time power consumption and electricity price data preset according to the specifications of the dual-tower adsorption dryer, thus obtaining the selected node electricity price for convenient subsequent use.

[0226] S37: Select the time point corresponding to the minimum value between the selected node electricity price and the current time electricity price as the time point with the lowest electricity price, and use the time point with the lowest electricity price as the time point for regeneration to start.

[0227] The lowest electricity price point refers to the time when electricity prices are at their lowest.

[0228] By comparing the electricity price at each selected node with the current electricity price, the time point corresponding to the minimum value is selected as the time point with the lowest electricity price, and the time point with the lowest electricity price is used as the regeneration start time point, thereby improving the accuracy of the obtained regeneration start time point.

[0229] S4: Combine the switching time point of the two towers with the regeneration start time point to form operation control information, and output the operation control information to the two-tower adsorption dryer.

[0230] Among them, the operation control information refers to the control information used to control the state switching and regeneration operation of the dual-tower adsorption dryer.

[0231] By combining the switching time point of the two towers with the regeneration start time point, operation control information is generated and output to the two-tower adsorption dryer, thereby controlling the two-tower adsorption dryer to perform regeneration operation at the regeneration start time point and switch states at the switching time point of the two towers.

[0232] To further ensure the rationality of the output operation control information to the dual-tower adsorption dryer, it is necessary to perform further separate analysis and calculation on the output operation control information to the dual-tower adsorption dryer. The specific steps are explained in detail below.

[0233] Reference Figure 4 After outputting the operation control information to the dual-tower adsorption dryer, the following steps are also included:

[0234] S41: Collect the current time point as the running time point.

[0235] The running time point refers to the real-time time after the running control information is output to the dual-tower adsorption dryer and the dryer continues to run.

[0236] After the operation control information is output to the dual-tower adsorption dryer, the current time point is collected and defined as the operation time point for convenient subsequent use.

[0237] S42: When the operating time reaches the dual-tower switching time, retrieve the dew point temperature value based on the operating parameters.

[0238] When the running time reaches the dual-tower switching time point, it indicates that a state switch is required. Therefore, the dew point temperature value is retrieved through the running parameters for subsequent use.

[0239] S43: Determine whether the dew point temperature value has reached the preset dew point temperature target value. If yes, proceed to S44; if no, proceed to S45.

[0240] Specifically, the system determines whether the regeneration operation has been completed by judging whether the dew point temperature has reached the preset dew point temperature standard value.

[0241] S44: Continue outputting operation control information.

[0242] When the dew point temperature reaches the preset dew point temperature target value, it indicates that the regeneration operation has been completed, so the operation control information continues to be output.

[0243] S45: Determine the temperature deviation value based on the dew point temperature value and the preset dew point temperature target value.

[0244] Among them, the temperature deviation value refers to the deviation value corresponding to the dew point temperature value when there is a deviation.

[0245] When the dew point temperature value does not reach the preset dew point temperature target value, it indicates that the regeneration operation has not been completed. Therefore, the difference between the dew point temperature value and the preset dew point temperature target value is calculated, and the calculation result is used as the temperature deviation value for subsequent use.

[0246] S46: Determine the dew point temperature change curve using the dew point temperature value.

[0247] The dew point temperature change curve refers to the curve corresponding to the change of the dew point temperature value over time.

[0248] By curvetizing the dew point temperature value based on the change over time, a dew point temperature change curve is obtained for convenient subsequent use.

[0249] S47: Generate the estimated change value of dew point temperature based on the dew point temperature change curve.

[0250] Among them, the estimated change value of dew point temperature refers to the change value corresponding to the subsequent change of dew point temperature.

[0251] By analyzing the dew point temperature change curve, an estimated change value for the dew point temperature can be generated for subsequent use.

[0252] To further ensure the reasonableness of the estimated change in dew point temperature, it is necessary to perform a further separate analysis and calculation of the estimated change in dew point temperature, which will be explained in detail through the steps shown below.

[0253] The method for generating the predicted change in dew point temperature includes the following steps:

[0254] S471: Retrieve the dew point temperature change value based on the dew point temperature change curve.

[0255] The dew point temperature change value refers to the change value corresponding to the change in the dew point temperature change curve.

[0256] The slopes of each segment in the dew point temperature change curve are calculated and retrieved as dew point temperature change values ​​for convenient subsequent use.

[0257] S472: Determine if there is only one dew point temperature change value. If yes, proceed to S473; if no, proceed to S474.

[0258] Specifically, the method determines whether the dew point temperature change value can be used directly by judging whether there is only one dew point temperature change value.

[0259] S473: Use the change in dew point temperature as the estimated change in dew point temperature.

[0260] When there is only one dew point temperature change value, it means that the dew point temperature change value can be used directly. Therefore, the dew point temperature change value is used as the estimated dew point temperature change value.

[0261] S474: Retrieve single change time value based on dew point temperature change value.

[0262] Among them, the single change time value refers to the duration of a single dew point temperature change value.

[0263] When there is more than one dew point temperature change value, it means that the dew point temperature change value cannot be used directly. Therefore, the duration corresponding to the dew point temperature change value is selected from the dew point temperature change curve and retrieved as a single change time value for convenient use later.

[0264] S475: Determine the final change time ratio value based on the single change time value.

[0265] The proportion of the last change time refers to the proportion of the total change time to the last change time.

[0266] The sum of each individual time change value is calculated and used as the overall time change value. Then, the last individual time change value is selected and its ratio to the overall time change value is calculated as the final time change ratio value, which is convenient for subsequent use.

[0267] S476: Select the final dew point temperature change value as the final temperature change value.

[0268] The final temperature change value refers to the change value corresponding to the temperature change at the last time.

[0269] Selecting the final temperature change value facilitates subsequent use.

[0270] S477: Determine the change adjustment value by using the final change time ratio value and the final temperature change value, and use the change adjustment value as the estimated change value of dew point temperature.

[0271] The change adjustment value refers to the adjustment value corresponding to the final temperature change value.

[0272] By inputting the final change time ratio value into a preset ratio adjustment database to obtain a ratio adjustment value, and then calculating the product between the ratio adjustment value and the final temperature change value as the change adjustment value, the accuracy of the obtained dew point temperature change value is improved.

[0273] The proportional adjustment database pre-stores a table of different final change time ratio ranges and their corresponding proportional adjustment values. The proportional adjustment database is pre-set by the operator according to actual needs.

[0274] For example, the scaling adjustment database can be pre-set to have a scaling adjustment value of 0.8 when the last change time scaling range is 0 to 0.2; a scaling adjustment value of 0.7 when the last change time scaling range is 0.2 to 0.8; and a scaling adjustment value of 0.9 when the last change time scaling range is 0.8 to 1.

[0275] S48: Determine the continuous regeneration time value based on the temperature deviation value and the estimated change value of dew point temperature.

[0276] The continuous regeneration time value refers to the time value corresponding to the continuous regeneration operation of the dual-tower adsorption dryer.

[0277] The quotient between the temperature deviation value and the estimated change in dew point temperature is calculated, and the calculation result is used as the continuous regeneration time value for convenient subsequent use.

[0278] S49: Determine the continuous regeneration control information based on the continuous regeneration time value, and output the continuous regeneration control information to the dual-tower adsorption dryer.

[0279] Among them, the continuous regeneration control information refers to the control information corresponding to the continuous regeneration operation of the dual-tower adsorption dryer.

[0280] By combining the continuous regeneration time value with the preset regeneration reference control information and using it as continuous regeneration control information, and outputting the continuous regeneration control information to the dual-tower adsorption dryer, the dual-tower adsorption dryer is controlled to continuously perform regeneration operations, preventing the state transition from starting before the regeneration operation is completed.

[0281] Regeneration baseline control information refers to the baseline control information used when controlling the regeneration operation of the dual-tower adsorption dryer. This regeneration baseline control information is obtained after being pre-input by the operator.

[0282] Based on the same inventive concept, embodiments of the present invention provide a peak-shaving and valley-shifting energy-saving control system, comprising:

[0283] The data acquisition module is used to collect current time data, electricity price data, operating parameters, and control equipment model information;

[0284] The memory stores a program for implementing a peak-shaving and valley-shifting energy-saving control method as described above;

[0285] The processor loads and executes programs stored in memory.

[0286] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0287] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A peak-shaving and valley-utilization energy-saving control method, characterized in that, include: S1: Collect the current time point, electricity price data, and operating parameters of the dual-tower adsorption dryer; S2: Generate the dual-tower switching time point based on the current time point and the operating parameters; S3: Generate the regeneration start time point using the dual-tower switching time point, the electricity price data, the current time point, and the operating parameters; S4: Combine the switching time point of the two towers with the regeneration start time point to form operation control information, and output the operation control information to the two tower adsorption dryer; The method for generating the regeneration start time point includes: S31: Determine the regeneration duration based on the operating parameters; S32: Determine the final start time point based on the regeneration duration and the dual-tower switching time point; S33: Determine the regeneration time range based on the last start time and the current time; S34: Determine the selected time node based on the regeneration time range; S35: Calculate the selected node electricity price based on the selected time node, the electricity price data, and the regeneration duration; S36: Calculate the current time electricity price based on the current time point, the electricity price data, and the regeneration duration; S37: The time point corresponding to the minimum value between the selected node electricity price and the current time electricity price is taken as the minimum electricity cost time point, and the minimum electricity cost time point is taken as the regeneration start time point.

2. The peak-shaving and valley-utilization energy-saving control method according to claim 1, characterized in that, The method for generating the dual-tower switching time point includes: S21: Calculate the real-time operating power based on the operating parameters; S22: Determine the half-cycle duration based on the real-time operating power; S23: Determine the switching time of the dual towers based on the current time point and the half-cycle duration.

3. The peak-shaving and valley-utilization energy-saving control method according to claim 1, characterized in that, The method for selecting the time node includes: S341: Select each minute as a time node according to the regeneration time range; S342: Retrieve the node values ​​according to the time nodes within the specified range; S343: Collects control device model information; S344: Determine the numerical value of computing power based on the control device model information; S345: Determine whether the numerical value of the computing power is greater than the numerical value of the nodes; S346: If yes, then all the time nodes in the range shall be used as the selected time nodes; S347: If not, then select a rough minimum electricity price time point based on the regeneration time range and the electricity price data; S348: Determine a coarse selection node based on the coarse minimum electricity price time point and the preset interval reference time value, and use the coarse selection node as the selection time node.

4. The peak-shaving and valley-utilization energy-saving control method according to claim 3, characterized in that, The method for selecting the approximate lowest electricity price time point includes: S3471: Select the range of electricity value and the individual electricity price time range from the electricity price data based on the regeneration time range; S3472: Determine the overlapping electricity price time range based on the single electricity price time range and the regeneration time range; S3473: Retrieve the duration of the overlapping electricity price through the aforementioned overlapping electricity price time range; S3474: Determine whether the duration of the overlapping electricity price is greater than the regeneration duration; S3475: If yes, then select the smaller value of the range of electricity prices and take the start time of the corresponding overlapping electricity price time range as the approximate minimum electricity price time point; S3476: If not, then select a cross-range selection time point based on the overlapping electricity price duration and the regeneration duration, and use the cross-range selection time point as the rough minimum electricity price time point.

5. The peak-shaving and valley-utilization energy-saving control method according to claim 4, characterized in that, The method for determining the time point selected across a range includes: S34761: Calculate the difference between the duration of each overlapping electricity price and the duration of regeneration, and use it as the duration deviation value; S34762: Determine the duration deviation adjustment value based on the duration deviation value; S34763: Calculate the difference in electricity prices between adjacent ranges as the adjacent electricity price deviation value; S34764: Determine the electricity price deviation adjustment value based on the adjacent electricity price deviation value; S34765: Sort the electricity prices in the range from smallest to largest, and determine the initial result value of the electricity price sorting based on the sorting result; S34766: Determine the electricity price ranking adjustment result value using the initial result value of the electricity price ranking, the duration deviation adjustment value, and the electricity price deviation adjustment value; S34767: Determine the sorting selection time point based on the electricity price sorting adjustment result value, and use the sorting selection time point as the cross-range selection time point.

6. The peak-shaving and valley-utilization energy-saving control method according to claim 4, characterized in that, Following the use of the coarsely selected node as the selection time node, the following is also included: S3481: Determine the approximate interval time value based on the approximate minimum electricity price time point and the last start time point; S3482: When the rough interval time value is less than the preset interval reference time value, the preset interval reference time value is pushed forward by the rough minimum electricity price time point and the selected time range is determined by the last start time point. S3483: Based on the adjusted selection time range, the coarsely selected node is re-determined.

7. The peak-shaving and valley-utilization energy-saving control method according to claim 2, characterized in that, After outputting the operation control information to the dual-tower adsorption dryer, the following is also included: S41: Collect the current time point as the running time point; S42: When the operating time point reaches the dual-tower switching time point, retrieve the dew point temperature value according to the operating parameters; S43: Determine whether the dew point temperature value has reached the preset dew point temperature standard value; S44: If yes, continue to output the operation control information; S45: If not, then determine the temperature deviation value based on the dew point temperature value and the preset dew point temperature target value. S46: Determine the dew point temperature change curve using the dew point temperature value; S47: Generate an estimated change value of dew point temperature based on the dew point temperature change curve; S48: Determine the continuous regeneration time value based on the temperature deviation value and the estimated change value of the dew point temperature; S49: Determine continuous regeneration control information based on the continuous regeneration time value, and output the continuous regeneration control information to the dual-tower adsorption dryer.

8. The peak-shaving and valley-utilization energy-saving control method according to claim 7, characterized in that, The method for generating the predicted change value of dew point temperature includes: S471: Retrieve the dew point temperature change value based on the dew point temperature change curve; S472: Determine whether the dew point temperature change value is only one; S473: If yes, then the dew point temperature change value is taken as the estimated dew point temperature change value; S474: If not, retrieve the single change time value based on the dew point temperature change value; S475: Determine the final change time ratio value based on the single change time value; S476: Select the final dew point temperature change value as the final temperature change value; S477: Determine the change adjustment value by using the last change time ratio value and the last temperature change value, and use the change adjustment value as the estimated change value of the dew point temperature.

9. A peak-shaving and valley-utilizing energy-saving control system, characterized in that, include: The data acquisition module is used to collect current time data, electricity price data, operating parameters, and control equipment model information. The memory stores a program for implementing the peak-shaving and valley-shifting energy-saving control method as described in any one of claims 1 to 8; The processor loads and executes programs stored in memory.

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