CN117893360B - Intelligent energy control method and system - Google Patents
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Abstract
The invention discloses an intelligent energy control method and system, which relate to the technical field of energy control and comprise the following steps: calculating maintenance indexes by acquiring historical data, establishing a prediction equation of the total energy consumption amount, and predicting the energy consumption amount of the next working day by combining the working amount of the next working day; calculating an error prediction value based on the predicted energy usage data of the previous 5 days and the actual energy usage data; combining the estimated energy consumption and the error prediction value to obtain the estimated energy consumption total amount of each equipment in the next working day; dividing energy storage blocks of different devices, and setting corresponding buffer energy storage blocks to cope with emergency, when the energy in the energy storage block of a certain device is insufficient to meet the task demand of the same day, using the energy in the corresponding buffer energy storage block; and after the daily work is finished, transferring the residual energy into a buffer energy storage block. The invention not only improves the utilization efficiency of energy, but also ensures the stable operation of the industrial park.
Description
Technical Field
The invention relates to the technical field of energy control, in particular to an intelligent energy control method and system.
Background
Along with the progress of industrialization, the scale of industrial parks is continuously enlarged, various industrial equipment is used more and more widely, and the operation of the equipment is not separated from the supply of energy sources; the intelligent energy control of the industrial park refers to real-time and fine management and control of energy consumption in the park by applying advanced technologies such as big data, communication technology, cloud computing and the like; the management mode can realize the comprehensive management of various energy sources (such as water, electricity, gas, heat and the like) so as to improve the energy use efficiency, reduce the energy cost and reduce the influence on the environment.
In the chinese application of the application publication No. CN115347572a, a method for controlling energy of an intelligent park is disclosed, which comprises: starting a gas generator in the intelligent park, calculating power generation electric energy generated by the gas generator, calculating total refrigeration cold energy of the intelligent park, starting a waste heat recovery machine corresponding to the gas generator, wherein the waste heat recovery machine is used for recovering and using residual electric energy of the refrigeration equipment according to the total refrigeration cold energy, constructing an induced electric energy function which needs to be directly introduced from a power grid in the intelligent park based on the residual electric energy, optimizing the purchased electric energy function, obtaining a minimum value of the induced electric energy, and completing energy control of the intelligent park;
In the application of the invention, the problem of energy waste caused by direct dependence of the intelligent park on power supply of the power grid can be solved; however, the application does not consider that the problems of abrasion, aging or dust accumulation of equipment parts can occur, which can lead to energy waste and further reduce the utilization rate of energy; in addition, the existing intelligent energy control method rarely optimizes the energy storage mode, most of the traditional energy storage modes are unidirectional, namely, energy is stored in the same area, only a single energy source exists when industrial equipment is operated, and at the moment, if an emergency occurs or partial energy is insufficient, the corresponding equipment can possibly work to enter a stagnation state, so that the efficiency of industrial tasks is reduced.
Disclosure of Invention
(One) solving the technical problems
Aiming at the technical problems in the background technology, the invention provides an intelligent energy control method and system, which are characterized in that maintenance indexes are calculated by acquiring historical data, a prediction equation of the total energy use amount is established, and the energy use amount of the next working day is predicted by combining the working amount of the next working day; combining the estimated energy consumption and the error prediction value to obtain the estimated energy consumption total amount of each equipment in the next working day; dividing energy storage blocks of different devices, and setting corresponding buffer energy storage blocks to cope with emergency; thereby solving the technical problems described in the background art.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme:
an intelligent energy control method, comprising:
Acquiring daily operation historical data of each working device and corresponding energy use historical data in the industrial park, and calculating corresponding maintenance index according to the daily operation historical data of each device ; Establishing a prediction equation of daily workload to daily energy consumption, and predicting the energy consumption of the corresponding equipment in the next working day according to the expected workload of each equipment in the next working day；
Respectively calculating the difference value between the total energy consumption predicted value and the total actual energy consumption of each device in the first 5 working days, and taking the error predicted value obtained by weighted average of the difference values as the error predicted value of the corresponding device in the next working day；
Forecast of total energy consumption of each device for the next working dayAnd error prediction valueCombining to obtain estimated energy use total of corresponding equipment in next working day; Dividing a plurality of area blocks in an energy storage area of an industrial park to be used as energy storage blocks of each equipment on the next working day;
Setting a plurality of buffer energy storage blocks in an energy storage area of an industrial park, wherein the buffer energy storage blocks are used for storing standby energy when energy stored in the energy storage blocks of each device does not meet the current energy use requirement; after finishing the workload of one day, transmitting the residual energy in the energy storage block of each device to the buffer energy storage block of the corresponding device; the total energy in the buffer energy storage block is kept within a preset constant range, redundant energy is used as one of the energy sources in the energy storage block in the next working day, and energy charging is performed to reach the constant range when the energy is insufficient.
Specifically, according to the duration of operation of each deviceOperation duration threshold for such devicesCalculating maintenance index for each deviceThe expression is: Wherein, the method comprises the steps of, wherein, Represent the firstSeed plant ofA plurality of devices; the maintenance index for each device is updated when the daily work is completed.
Further, acquiring a plurality of sets of daily working data and corresponding energy use data when the maintenance index is 1 from historical working data of each device, fitting a relationship between the daily working quantity and daily energy use quantity of each device in a standard state, namely, the device state when the maintenance system is 1, by using a unitary linear regression equation, regarding the plurality of sets of data with the same daily working quantity, taking the average value of the daily energy use quantity in the data as the daily energy use quantity corresponding value of the daily working quantity, and calculating the daily working quantity of each device in the standard state by using a linear fitting methodAnd daily energy consumptionCorresponding straight line slope of (2)Further, a corresponding prediction equation of daily working quantity and daily energy consumption of each device under the standard state is established。
Further, according to the corresponding prediction equation of the daily working quantity and the daily energy consumption quantity of each device under the established standard state and the maintenance index of each device, establishing the total energy consumption quantity of each devicePredictive equation of (2)Wherein, the method comprises the steps of, wherein,Represent the firstThe total number of devices of the seed device;
The target workload of each task on the next working day is evenly distributed to a plurality of devices of each device, and the target workload is substituted into a prediction equation of the total energy consumption of each device to obtain a predicted value of the total energy consumption of each device on the next working day 。
Specifically, the predicted value of the total daily energy consumption and the total daily energy consumption of each device in the first 5 working days are respectively taken out from the historical data, and the difference between the predicted value of the total daily energy consumption and the total daily energy consumption of each device in each working day is respectively calculated, namely the errorWhereinRepresenting the front firstA working day;
the calculated 5 groups of differences of each device are subjected to weighted average operation, and the use is made of Representing the front firstWeight of individual workdaysError prediction value of total energy consumption of each device in next working dayThe expression is calculated according to the following formula: Wherein, the method comprises the steps of, wherein, May be positive or negative.
Further, the predicted value of the total energy consumption of each device in the next working dayAnd error prediction valueThe added result is taken as the estimated total energy use amount of the next working day；
The energy storage area of the industrial park stores corresponding energy according to the estimated energy use total amount of each device in a blocking manner, and particularly the estimated energy use total amount is estimated according to the next working dayDividing an area block with a corresponding size into an energy storage area of an industrial park to be used as an energy storage block for storing the estimated total energy use amount of the next working day; a plurality of energy storage blocks can exist in the energy storage area of the industrial park at the same time and are used for storing energy required by different devices, and the storage blocks of each device are marked by using unique symbols; and the charging and discharging processes of the energy storage blocks are not mutually influenced.
Specifically, a plurality of areas are divided in an energy storage area of the industrial park for storing buffer energy, and the number of the buffer energy storage blocks is the total number of equipment categories in the industrial park; when the energy stored in the energy storage block corresponding to a certain device is insufficient to meet the energy supply requirement of the current day, after the energy stored in the energy storage block is used up, the buffer energy storage block corresponding to the device is used as the energy supply source of the remaining tasks of the current day, and whether the energy stored in the current buffer energy storage block can meet the remaining energy consumption requirement of the current day is calculated, wherein the specific calculation method is as follows: obtaining estimated energy use total amount of the equipment on the same dayTarget workloadResidual workloadCalculating the remaining energy demand of the device on the same day based on the dataThe expression is:。
Further, the residual energy requirement of the equipment And the total amount of residual energy in the corresponding buffer energy storage blockIn comparison withThe energy in the current buffer energy storage block can meet the residual energy consumption requirement of the current day, and the energy storage block of the device does not need to be charged again; if it isThe energy in the current buffer energy storage block cannot meet the residual energy demand of the current day, the energy storage block corresponding to the device needs to be charged again, and the required energy passes through the residual energy demandAnd the total amount of residual energy in the corresponding buffer energy storage blockAnd subtracting, when the energy in the buffer energy storage block is used up, continuing to use the energy storage block corresponding to the equipment for energy supply operation.
Further, when the energy in the buffer energy storage block is used up, the energy charging operation is immediately performed, so that the energy in the buffer energy storage block is kept within a preset constant range; if the energy after recharging in the energy storage block corresponding to a certain device still does not meet the residual energy consumption requirement of the current day, continuing to buffer the energy in the energy storage block; if the energy after recharging in the energy storage block corresponding to a certain device meets the energy consumption requirement of the current day and the rest energy, transmitting the rest energy to the buffer energy storage block of the corresponding device; when the energy storage block of the next working day is ready to be charged, if the energy in the buffer energy storage block corresponding to a certain device exceeds a preset constant range, part of the energy is firstly taken out of the buffer energy storage block and is put into the energy storage block of the corresponding device, so that the energy in the buffer energy storage block is maintained within the constant range.
An intelligent energy control system, comprising:
the data acquisition module is used for acquiring daily operation historical data of each working device in the industrial park and corresponding energy use historical data; under the condition that the energy stored in the energy storage block is used up, estimated energy use total data, daily target workload data and residual workload data of corresponding equipment are obtained;
The energy consumption prediction module predicts the energy consumption of the next working day through workload analysis and error analysis and comprises a workload prediction unit, an error prediction unit and a comprehensive prediction unit; the work load prediction unit predicts the energy consumption of the next working day according to the expected work load of each device and the maintenance index of each device of the next working day by establishing a prediction equation of the daily work load to the daily energy consumption; the error prediction unit calculates the difference value between the total energy consumption predicted value and the total actual energy consumption of each device in the first 5 working days, and takes the error predicted value obtained by weighted average of the difference values as the error value of each device in the next working day; the comprehensive prediction unit obtains the estimated energy use total amount of each device in the next working day by combining the energy use total amount predicted value and the error predicted value of each device in the next working day;
The energy block storage control module comprises a daily energy storage unit and a buffer energy storage unit; the daily energy storage unit divides a plurality of area blocks in an energy storage area of an industrial park to serve as energy storage blocks of each equipment in the next working day; the buffer energy storage unit is used for storing standby energy when the energy stored in the energy storage blocks of each device does not meet the current energy demand by arranging a plurality of buffer energy storage blocks in the energy storage area of the industrial park.
(III) beneficial effects
The invention provides an intelligent energy control method and system, which have the following beneficial effects:
1. By acquiring and analyzing daily operation history data and energy use history data of each working device, the running state and the energy consumption condition of the device can be accurately mastered; according to the maintenance index of the equipment, the daily work quantity and the prediction equation of the energy use quantity, the energy use requirement of the next working day can be predicted, so that targeted energy scheduling and planning can be performed; the design provides scientific and quantitative decision basis for energy management of an industrial park;
2. The energy use error of the next working day can be predicted more accurately by calculating the difference value between the predicted value and the actual value of the total energy use amount of each device per day in the first 5 working days and taking the time weight factor into consideration for weighted average; the mechanism not only considers the reference value of the historical data, but also fully considers the influence of time factors on data prediction, so that the prediction result is more in line with the actual situation, and the efficiency and accuracy of energy management are improved;
3. The more accurate estimated total energy consumption is obtained by combining the total energy consumption predicted value and the error predicted value of the equipment, so that a scientific basis is provided for energy storage and distribution of an industrial park; in the energy storage area, the energy storage sources are partitioned according to the estimated total energy use amount of each equipment in the next working day, so that the sufficient supply of the energy sources is ensured, and the waste of the energy sources is avoided; meanwhile, the simultaneous existence of a plurality of energy storage blocks enables energy management to be more flexible and efficient, and meets the requirements of different devices on energy sources;
4. By arranging the buffer energy storage block, when the energy demand of the equipment exceeds the prediction, the standby energy can be quickly called to meet the instant demand, so that the production interruption is avoided; the buffer energy storage block not only provides a coping mechanism for emergency, but also plays a role in balancing energy supply and demand, so that energy supply is more stable; in addition, the daily surplus energy is transmitted back to the buffer energy storage block, and energy charging is carried out when the energy is insufficient, so that the energy recycling is realized, and the energy utilization efficiency is improved.
Drawings
FIG. 1 is a flow chart of steps of an intelligent energy control method according to the present invention;
Fig. 2 is a schematic structural diagram of the intelligent energy control system provided by the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides an intelligent energy control method, comprising:
step one, acquiring daily operation historical data of each working device in an industrial park and corresponding energy use historical data, and calculating a corresponding maintenance index according to the daily operation historical data of each device ; Establishing a prediction equation of daily workload to daily energy consumption, and predicting the energy consumption of the corresponding equipment in the next working day according to the expected workload of each equipment in the next working day；
The first step comprises the following steps:
Step 101, acquiring historical working data and corresponding energy use data of each device in an industrial park, wherein the historical working data and the corresponding energy use data comprise working amount data and energy use amount data of each working day in the past; wherein, the workload data of each working day refers to the actual workload and working duration of each device every day, and the energy consumption data refers to the total energy consumption of each device every day;
step 102, according to the operation duration of each device Operation duration threshold for such devicesCalculating maintenance index for each deviceThe expression is:
wherein, Represent the firstSeed plant ofA plurality of devices; the longer the working time of the equipment is, the problems of abrasion, aging or dust accumulation and the like of parts in the equipment can occur, so that the operation efficiency is reduced, and more energy sources are consumed when the same workload is completed; updating the maintenance index of each device after the daily work is completed;
Step 103, acquiring a plurality of sets of daily work data with maintenance indexes of 1 and corresponding energy use data from historical work data of each device, fitting a relation between daily work amount and daily energy use amount of each device in a standard state (device state with maintenance system of 1) by using a unitary linear regression equation, regarding the plurality of sets of data with the same daily work amount, taking a mean value of daily energy use amounts in the data as a daily energy use amount corresponding value of the daily work amount, and calculating the daily work amount of each device in the standard state by using a linear fitting method And daily energy consumptionCorresponding straight line slope of (2)Further, a corresponding prediction equation of daily working quantity and daily energy consumption of each device under the standard state is established；
Step 104, establishing the total energy consumption amount of each device according to the corresponding prediction equation of the daily working amount and the daily energy consumption amount of each device in the established standard state and the maintenance index of each devicePredictive equation of (2)Wherein, the method comprises the steps of, wherein,Represent the firstThe total number of devices of the seed device;
Step 105, evenly distributing the target workload of each task of the next working day to a plurality of devices of each device, and substituting the target workload into a prediction equation of the total energy consumption of each device to obtain a predicted value of the total energy consumption of each device of the next working day 。
In use, the contents of steps 101 to 105 are combined:
By acquiring and analyzing daily operation history data and energy use history data of each working device, the running state and the energy consumption condition of the device can be accurately mastered; according to the maintenance index of the equipment, the daily work quantity and the prediction equation of the energy use quantity, the energy use requirement of the next working day can be predicted, so that targeted energy scheduling and planning can be performed; the design provides scientific and quantitative decision basis for energy management of industrial parks.
Respectively calculating the difference value between the total energy consumption predicted value and the total actual energy consumption of each device in the first 5 working days, and taking the error predicted value obtained by weighted average of the difference values as the error predicted value of the corresponding device in the next working day；
The second step comprises the following steps:
Step 201, respectively taking out the predicted value of the total daily energy consumption and the total daily energy consumption of each device in the first 5 working days from the historical data, and respectively calculating the difference between the predicted value of the total daily energy consumption and the total daily energy consumption of each device in each working day, namely the error WhereinRepresenting the front firstA working day;
Step 202, performing weighted average operation on the calculated 5 groups of differences of each device, wherein the closer the difference is to the next working day, the greater the calculated difference has to the reference value of the error prediction of the next working day, and the use is made of Representing the front firstWeight of individual workdaysError prediction value of total energy consumption of each device in next working dayThe expression is calculated according to the following formula:
wherein, May be positive or negative;
in use, the contents of steps 201 to 202 are combined:
The energy use error of the next working day can be predicted more accurately by calculating the difference value between the predicted value and the actual value of the total energy use amount of each device per day in the first 5 working days and taking the time weight factor into consideration for weighted average; the mechanism not only considers the reference value of the historical data, but also fully considers the influence of time factors on data prediction, so that the prediction result is more in line with the actual situation, and the efficiency and accuracy of energy management are further improved.
Step three, predicting the total energy consumption amount of each device in the next working dayAnd error prediction valueCombining to obtain estimated energy use total of corresponding equipment in next working day; Dividing a plurality of area blocks in an energy storage area of an industrial park to be used as energy storage blocks of each equipment on the next working day;
The third step comprises the following steps:
Step 301, predicting the total energy consumption of each device in the next working day And error prediction valueThe added result is taken as the estimated total energy use amount of the next working day；
Step 302, the energy storage area of the industrial park stores the corresponding energy according to the estimated energy usage amount of each device in blocks in each day, specifically, the estimated energy usage amount is estimated according to the next working dayDividing an area block with a corresponding size into an energy storage area of an industrial park to be used as an energy storage block for storing the estimated total energy use amount of the next working day;
Step 303, a plurality of energy storage blocks can exist in the energy storage area of the industrial park at the same time and are used for storing energy required by different devices, and the storage blocks of each device are marked by using a unique symbol; and the charging and discharging processes of the energy storage blocks are not mutually influenced.
In use, the contents of steps 301 to 303 are combined:
The more accurate estimated total energy consumption is obtained by combining the total energy consumption predicted value and the error predicted value of the equipment, so that a scientific basis is provided for energy storage and distribution of an industrial park; in the energy storage area, the energy storage sources are partitioned according to the estimated total energy use amount of each equipment in the next working day, so that the sufficient supply of the energy sources is ensured, and the waste of the energy sources is avoided; meanwhile, the energy storage blocks exist at the same time, so that energy management is more flexible and efficient, and the requirements of different devices on energy are met.
Setting a plurality of buffer energy storage blocks in an energy storage area of an industrial park, wherein the buffer energy storage blocks are used for storing standby energy when energy stored in the energy storage blocks of each device does not meet the current energy use requirement; after finishing the workload of one day, transmitting the residual energy in the energy storage block of each device to the buffer energy storage block of the corresponding device; the total energy in the buffer energy storage block is kept in a preset constant range, redundant energy is used as one of the energy sources in the energy storage block in the next working day, and energy charging is carried out when the energy is insufficient so as to reach the constant range;
The fourth step comprises the following steps:
Step 401, dividing a plurality of areas in an energy storage area of an industrial park for storing buffer energy, namely buffer energy storage blocks, wherein the number of the buffer energy storage blocks is the total number of equipment categories in the industrial park; the buffer energy can be used as a standby energy acquisition source when an emergency occurs or the total estimated energy use amount is inconsistent; after the buffer energy storage blocks are established, the storage blocks are charged with energy to enable the energy to be in a preset constant range, and each buffer energy storage block stores energy required by corresponding equipment;
Step 402, when the energy stored in the energy storage block corresponding to a certain device is insufficient to meet the energy supply requirement of the current day, after the energy stored in the energy storage block is used up, taking the buffer energy storage block corresponding to the device as the energy supply source of the remaining task of the current day, and calculating whether the energy stored in the current buffer energy storage block can meet the remaining energy consumption requirement of the current day, wherein the specific calculation method is as follows: obtaining estimated energy use total amount of the equipment on the same day Target workloadResidual workloadCalculating the remaining energy demand of the device on the same day based on the dataThe expression is:；
surplus energy demand of the plant And the total amount of residual energy in the corresponding buffer energy storage blockIn comparison withThe energy in the current buffer energy storage block can meet the residual energy consumption requirement of the current day, and the energy storage block of the device does not need to be charged again; if it isThe energy in the current buffer energy storage block cannot meet the residual energy demand of the current day, the energy storage block corresponding to the device needs to be charged again, and the required energy passes through the residual energy demandAnd the total amount of residual energy in the corresponding buffer energy storage blockWhen the energy in the buffer energy storage blocks is used up, the energy storage blocks corresponding to the equipment are continuously used for energy supply operation;
step 403, when the energy in the buffer energy storage block is used up, the energy charging operation is immediately performed, so that the energy in the buffer energy storage block is kept within a preset constant range; if the energy after recharging in the energy storage block corresponding to a certain device still does not meet the remaining energy consumption requirement of the current day, continuing to buffer the energy use in the energy storage block according to the method of the step 402; if the energy after recharging in the energy storage block corresponding to a certain device meets the energy consumption requirement of the current day and the rest energy, transmitting the rest energy to the buffer energy storage block of the corresponding device; when the energy storage block of the next working day is ready to be charged, if the energy in the buffer energy storage block corresponding to a certain device exceeds a preset constant range, part of the energy is firstly taken out of the buffer energy storage block and is put into the energy storage block of the corresponding device, so that the energy in the buffer energy storage block is maintained within the constant range.
In use, the contents of steps 401 to 403 are combined:
By arranging the buffer energy storage block, the system can quickly call standby energy to meet the instant requirement when the energy requirement of the equipment exceeds the prediction, so that the production interruption is avoided; the buffer energy storage block not only provides a coping mechanism for emergency, but also plays a role in balancing energy supply and demand, so that energy supply is more stable; in addition, the daily surplus energy is transmitted back to the buffer energy storage block, and energy charging is carried out when the energy is insufficient, so that the energy recycling is realized, and the energy utilization efficiency is improved.
Referring to fig. 2, the present invention also provides an intelligent energy control system, comprising:
the data acquisition module is used for acquiring daily operation historical data of each working device in the industrial park and corresponding energy use historical data; under the condition that the energy stored in the energy storage block is used up, estimated energy use total data, daily target workload data and residual workload data of corresponding equipment are obtained;
The energy consumption prediction module predicts the energy consumption of the next working day through workload analysis and error analysis and comprises a workload prediction unit, an error prediction unit and a comprehensive prediction unit; the work load prediction unit predicts the energy consumption of the next working day according to the expected work load of each device and the maintenance index of each device of the next working day by establishing a prediction equation of the daily work load to the daily energy consumption; the error prediction unit calculates the difference value between the total energy consumption predicted value and the total actual energy consumption of each device in the first 5 working days, and takes the error predicted value obtained by weighted average of the difference values as the error value of each device in the next working day; the comprehensive prediction unit obtains the estimated energy use total amount of each device in the next working day by combining the energy use total amount predicted value and the error predicted value of each device in the next working day;
The energy block storage control module comprises a daily energy storage unit and a buffer energy storage unit; the daily energy storage unit divides a plurality of area blocks in an energy storage area of an industrial park to serve as energy storage blocks of each equipment in the next working day; the buffer energy storage unit is used for storing standby energy when the energy stored in the energy storage blocks of each device does not meet the current energy demand by arranging a plurality of buffer energy storage blocks in the energy storage area of the industrial park.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in or transmitted across a computer storage medium.
The computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). Computer storage media may be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain an integration of one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (Solid STATEDISK, SSD)), or the like.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (3)
1. An intelligent energy control method is characterized in that: comprising the following steps:
Acquiring daily operation historical data of each working device and corresponding energy use historical data in the industrial park, and calculating corresponding maintenance index according to the daily operation historical data of each device The method specifically comprises the following steps:
According to the duration of operation of each device And the duration threshold/>, of operation of such a deviceCalculate the maintenance index/>, for each deviceThe expression is: /(I)Wherein/>Represents the/>First/>, in seed deviceA plurality of devices; updating the maintenance index of each device after the daily work is completed;
establishing a prediction equation of daily workload to daily energy consumption, and predicting the energy consumption of the corresponding equipment in the next working day according to the expected workload of each equipment in the next working day The method specifically comprises the following steps:
Acquiring a plurality of groups of daily working data with maintenance indexes of 1 and corresponding energy use data from historical working data of each device, fitting a relationship between daily working quantity and daily energy use quantity of each device in a standard state, namely, the device state with maintenance system of 1, by using a unitary linear regression equation, regarding the plurality of groups of data with the same daily working quantity, taking the average value of the daily energy use quantity in the data as the daily energy use quantity corresponding value of the daily working quantity, and calculating the daily working quantity of each device in the standard state by using a linear fitting method And daily energy consumption/>Corresponding straight line slope/>Further, a corresponding prediction equation/>, of the daily working quantity and the daily energy consumption quantity of each device under the standard state, is established；
Establishing the total energy consumption amount of each device according to the corresponding prediction equation of the daily working amount and the daily energy consumption amount of each device under the established standard state and the maintenance index of each devicePredictive equation/>Wherein/>Represents the/>The total number of devices of the seed device;
The target workload of each task on the next working day is evenly distributed to a plurality of devices of each device, and the target workload is substituted into a prediction equation of the total energy consumption of each device to obtain a predicted value of the total energy consumption of each device on the next working day ；
Respectively calculating the difference value between the total energy consumption predicted value and the total actual energy consumption of each device in the first 5 working days, and taking the error predicted value obtained after the weighted average of the difference values as the error predicted value of the corresponding device in the next working dayThe method specifically comprises the following steps:
Respectively taking out the predicted value of the total daily energy consumption and the total daily energy consumption of each device in the first 5 working days from the historical data, and respectively calculating the difference between the predicted value of the total daily energy consumption and the total daily energy consumption of each device in each working day, namely the error Wherein/>Representing the forefront/>A working day;
the calculated 5 groups of differences of each device are subjected to weighted average operation, and the use is made of Representing the forefront/>Weight of individual workdays/>Error prediction value/>, of total amount of energy usage of each device on the next working dayThe expression is calculated according to the following formula: /(I)Wherein/>May be positive or negative;
Forecast of total energy consumption of each device for the next working day And error prediction value/>Combining to obtain estimated energy use total amount/>, of corresponding equipment in next working dayThe method specifically comprises the following steps:
forecast of total energy consumption of each device for the next working day And error prediction value/>The added result is taken as the estimated total energy use amount/>, of the next working day；
Dividing a plurality of area blocks in an energy storage area of an industrial park to be used as the energy storage blocks of each equipment on the next working day, wherein the energy storage blocks are specifically as follows:
The energy storage area of the industrial park stores corresponding energy according to the estimated energy use total amount of each device in a blocking manner, and particularly the estimated energy use total amount is estimated according to the next working day Dividing an area block with a corresponding size into an energy storage area of an industrial park to be used as an energy storage block for storing the estimated total energy use amount of the next working day; a plurality of energy storage blocks are simultaneously arranged in an energy storage area of the industrial park and are used for storing energy required by different equipment, and the storage blocks of each equipment are marked by using unique symbols; the charging and discharging energy processes of the energy storage blocks are not mutually influenced;
Setting a plurality of buffer energy storage blocks in an energy storage area of an industrial park, wherein the buffer energy storage blocks are used for storing standby energy when energy stored in the energy storage blocks of each device does not meet the current energy use requirement; after finishing the workload of one day, transmitting the residual energy in the energy storage block of each device to the buffer energy storage block of the corresponding device; the total energy in the buffer energy storage block is kept in a preset constant range, redundant energy is used as one of the energy sources in the energy storage block in the next working day, and energy charging is carried out when the energy is insufficient to reach the constant range, specifically:
Dividing a plurality of areas in an energy storage area of the industrial park for storing buffer energy, wherein the number of the buffer energy storage blocks is the total number of equipment categories in the industrial park; when the energy stored in the energy storage block corresponding to a certain device is insufficient to meet the energy supply requirement of the current day, after the energy stored in the energy storage block is used up, the buffer energy storage block corresponding to the device is used as the energy supply source of the remaining tasks of the current day, and whether the energy stored in the current buffer energy storage block can meet the remaining energy consumption requirement of the current day is calculated, wherein the specific calculation method is as follows: obtaining estimated energy use total amount of the equipment on the same day Target workload/>Residual workload/>From these data, the remaining energy demand of the plant on the current day is calculated/>The expression is: /(I)；
Surplus energy demand of the plantAnd the total amount of residual energy in the corresponding buffer energy storage block/>In comparison, if/>The energy in the current buffer energy storage block can meet the residual energy consumption requirement of the current day, and the energy storage block of the device does not need to be charged again; if/>The energy in the current buffer energy storage block cannot meet the residual energy consumption requirement of the current day, the energy storage block corresponding to the equipment needs to be charged again, and the required energy passes through the residual energy requirement/>And the total amount of residual energy in the corresponding buffer energy storage block/>And subtracting, when the energy in the buffer energy storage block is used up, continuing to use the energy storage block corresponding to the equipment for energy supply operation.
2. The intelligent energy control method as claimed in claim 1, wherein:
When the energy in the buffer energy storage block is used up, the energy charging operation is immediately carried out, so that the energy in the buffer energy storage block is kept in a preset constant range; if the energy after recharging in the energy storage block corresponding to a certain device still does not meet the residual energy consumption requirement of the current day, continuing to buffer the energy in the energy storage block; if the energy after recharging in the energy storage block corresponding to a certain device meets the energy consumption requirement of the current day and the rest energy, transmitting the rest energy to the buffer energy storage block of the corresponding device; when the energy storage block of the next working day is ready to be charged, if the energy in the buffer energy storage block corresponding to a certain device exceeds a preset constant range, part of the energy is firstly taken out of the buffer energy storage block and is put into the energy storage block of the corresponding device, so that the energy in the buffer energy storage block is maintained within the constant range.
3. An intelligent energy control system for implementing the method of any one of claims 1 to 2, comprising:
the data acquisition module is used for acquiring daily operation historical data of each working device in the industrial park and corresponding energy use historical data; under the condition that the energy stored in the energy storage block is used up, estimated energy use total data, daily target workload data and residual workload data of corresponding equipment are obtained;
The energy consumption prediction module predicts the energy consumption of the next working day through workload analysis and error analysis and comprises a workload prediction unit, an error prediction unit and a comprehensive prediction unit; the work load prediction unit predicts the energy consumption of the next working day according to the expected work load of each device and the maintenance index of each device of the next working day by establishing a prediction equation of the daily work load to the daily energy consumption; the error prediction unit calculates the difference value between the total energy consumption predicted value and the total actual energy consumption of each device in the first 5 working days, and takes the error predicted value obtained by weighted average of the difference values as the error value of each device in the next working day; the comprehensive prediction unit obtains the estimated energy use total amount of each device in the next working day by combining the energy use total amount predicted value and the error predicted value of each device in the next working day;
The energy block storage control module comprises a daily energy storage unit and a buffer energy storage unit; the daily energy storage unit divides a plurality of area blocks in an energy storage area of an industrial park to serve as energy storage blocks of each equipment in the next working day; the buffer energy storage unit is used for storing standby energy when the energy stored in the energy storage blocks of each device does not meet the current energy demand by arranging a plurality of buffer energy storage blocks in the energy storage area of the industrial park.
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| CN117154844A (en) * | 2023-08-28 | 2023-12-01 | 深圳美诺克科技有限公司 | Energy supply control method and device for energy storage system |
| CN117477610A (en) * | 2023-10-31 | 2024-01-30 | 华能浙江能源销售有限责任公司 | Virtual power plant energy storage control system |
| CN117592761A (en) * | 2024-01-18 | 2024-02-23 | 天津天创绿能投资管理有限公司 | Regional energy station automatic energy supply method and equipment based on user side load prediction |
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| CN117154844A (en) * | 2023-08-28 | 2023-12-01 | 深圳美诺克科技有限公司 | Energy supply control method and device for energy storage system |
| CN117477610A (en) * | 2023-10-31 | 2024-01-30 | 华能浙江能源销售有限责任公司 | Virtual power plant energy storage control system |
| CN117592761A (en) * | 2024-01-18 | 2024-02-23 | 天津天创绿能投资管理有限公司 | Regional energy station automatic energy supply method and equipment based on user side load prediction |
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