CN115800266A - Power demand control method and device, electronic equipment and storage medium - Google Patents
Power demand control method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a power demand control method and device, electronic equipment and a storage medium, wherein the method comprises the following steps: determining a current maximum demand limit value at the current moment; if the current time is before the switching time point of the current demand period, calculating a predicted value of the load of the user side at the next time; comparing whether the predicted value of the load of the user side at the next moment is larger than the current maximum demand limit value or not; if the current maximum demand is larger than the preset maximum demand, determining the difference value obtained by subtracting the predicted value of the load of the user side at the next moment from the current maximum demand limit as the target power at the next moment; when the current time is after the switching time point, calculating the current average power from the current demand period to the current time; comparing whether the current average power is larger than the current maximum demand limit value; if the current maximum demand is larger than the current maximum demand limit, determining the product of the difference value obtained by subtracting the current average power and the current control frequency of the current demand period as the target power of the next moment; and controlling the energy storage system based on the target power at the next moment.
Description
Technical Field
The present disclosure relates to the field of power indicator control technologies, and in particular, to a power demand control method and apparatus, an electronic device, and a storage medium.
Background
In the two-part electricity price mode, the electricity consumption fee consists of two parts, namely the electricity degree fee and the basic fee. The basic electricity charge can be calculated according to the maximum demand in the month, so that the maximum demand needs to be effectively controlled in order to reduce the cost.
Currently, the maximum demand is mainly controlled in two ways, one is to control the maximum demand by real-time demand, that is, calculating the average power of the previous period, and then controlling the demand of the later period based on the average power. Another way is to control by predicting the instantaneous demand at a certain moment.
However, in the first mode, the demand overrun is easy to occur, and after the demand overrun, the control is disabled. In the method of performing control by using a predicted value, the requirement for a prediction algorithm is high, so that prediction is performed all the time, and a large prediction error is inevitably generated, so that control recognition is possible. Therefore, the control accuracy cannot be effectively ensured by the existing control method.
Disclosure of Invention
Based on the defects of the prior art, the application provides a power demand control method and device, electronic equipment and a storage medium, so as to solve the problem that the accuracy of control cannot be effectively guaranteed in the prior art.
In order to achieve the above object, the present application provides the following technical solutions:
a first aspect of the present application provides a power demand control method, including:
determining a current maximum demand limit value at the current moment;
if the current time is before the switching time point of the current demand period, calculating the predicted value of the user side load at the next time;
comparing whether the predicted value of the load of the user side at the next moment is larger than the current maximum demand limit value or not;
if the predicted value of the user side load at the next moment is larger than the current maximum demand limit value by comparison, determining the difference value obtained by subtracting the predicted value of the user side load at the next moment from the current maximum demand limit value as the target power at the next moment;
when the current time is after the switching time point of the current demand period, calculating the average power from the starting time of the current demand period to the current time to obtain the current average power;
comparing whether the current average power is larger than the current maximum demand limit value or not;
if the current average power is larger than the current maximum demand limit value through comparison, determining the product of the difference value obtained by subtracting the current average power from the current maximum demand limit value and the current control frequency of the current demand period as the target power of the next moment;
and controlling the energy storage system based on the target power at the next moment.
Optionally, in the above power demand control method, the determining a current maximum demand limit at the current time includes:
acquiring the actual maximum demand of the current month from the current month starting time to the current time and a preset maximum demand set value of the current month;
and multiplying the larger value of the actual maximum demand of the current month and the set value of the maximum demand of the current month by a demand control coefficient to obtain the current maximum demand limit value of the current moment.
Optionally, in the above power demand control method, the calculating a predicted value of the user-side load at the next time includes:
calculating the predicted value of the instantaneous power at the next moment by using an autoregressive moving average model;
and calculating the average value of the instantaneous power predicted value at the next moment and the instantaneous power predicted value at each moment in a specified time range before the current moment to obtain the user side load predicted value at the next moment.
Optionally, in the above power demand control method, the controlling the energy storage system based on the target power at the next time includes:
if the energy storage system is currently in a charging state, reducing the charging power of the energy storage system according to the target power at the next moment;
and if the energy storage system is in a standing state or a discharging state at present, discharging the energy storage system according to the target power at the next moment.
Optionally, in the above power demand control method, the method further includes:
if the predicted value of the load of the user side at the next moment is not greater than the current maximum demand limit value or the current average power is not greater than the current maximum demand limit value, detecting the current state of the energy storage system;
if the energy storage system is in a charging state at present, increasing the charging depth of the energy storage system under the condition of meeting a target constraint condition; wherein the target constraint condition is that the demand of a gateway table is not higher than the current maximum demand limit before the switching time point of the current demand period, and the average power of the gateway table is not higher than the current maximum demand limit after the switching time point of the current demand period;
if the energy storage system is in a standing state at present, charging the energy storage system by using the charging depth meeting the target preset condition;
if the energy storage system is in a discharging state at present, executing any one target operation on the energy storage system under the condition that the preset target condition is met; wherein the target operation comprises reducing a depth of discharge, changing to a rest state, or changing to a charge state.
A second aspect of the present application provides a power demand control apparatus comprising:
a limit value determining unit, configured to determine a current maximum demand limit value at a current time;
the prediction unit is used for calculating the predicted value of the load of the user side at the next moment when the current moment is before the switching time point of the current demand period;
the first comparison unit is used for comparing whether the predicted value of the user side load at the next moment is greater than the current maximum demand limit value;
a first power determining unit, configured to determine, when it is compared that the predicted value of the user-side load at the next time is greater than the current maximum demand limit, a difference obtained by subtracting the predicted value of the user-side load at the next time from the current maximum demand limit as the target power at the next time;
the power calculation unit is used for calculating the average power from the starting time of the current demand period to the current time to obtain the current average power when the current time is behind the switching time point of the current demand period;
the second comparison unit is used for comparing whether the current average power is larger than the current maximum demand limit value or not;
a second power determining unit, configured to determine, when it is compared that the current average power is greater than the current maximum demand limit, a product of a difference obtained by subtracting the current average power from the current maximum demand limit and the current control number of the current demand period as the target power at the next time;
and the control unit is used for controlling the energy storage system based on the target power at the next moment.
Alternatively, in the above-described electric power demand control apparatus, the limit value determining unit includes:
the demand data acquisition unit is used for acquiring the actual maximum demand of the current month from the starting time of the current month to the current time and a preset maximum demand set value of the current month;
and the limitation calculation unit is used for multiplying the larger value of the actual maximum demand of the current month and the set value of the maximum demand of the current month by a demand control coefficient to obtain the current maximum demand limit value of the current moment.
Alternatively, in the above-described electric power demand control apparatus, the prediction unit includes:
the first calculation unit is used for calculating the predicted value of the instantaneous power at the next moment by using an autoregressive moving average model;
and the second calculating unit is used for calculating the average value of the instantaneous power predicted value at the next moment and the instantaneous power predicted value at each moment in a specified time range before the current moment to obtain the user side load predicted value at the next moment.
Alternatively, in the above-described electric power demand control apparatus, the control unit includes:
the first control subunit is used for reducing the charging power of the energy storage system according to the target power at the next moment if the energy storage system is currently in a charging state;
and the second control subunit is used for discharging the energy storage system according to the target power at the next moment if the energy storage system is currently in a standing state or a discharging state.
Optionally, in the above power demand control device, the power demand control device further includes:
the detection unit is used for detecting the current state of the energy storage system if the predicted value of the load of the user side at the next moment is not greater than the current maximum demand limit value or the current average power is not greater than the current maximum demand limit value;
the lifting unit is used for increasing the charging depth of the energy storage system under the condition that a target constraint condition is met when the energy storage system is detected to be in a charging state currently; wherein the target constraint condition is that before the switching time point of the current demand period, the demand of the gateway table is not higher than the current maximum demand limit value, and after the switching time point of the current demand period, the average power of the gateway table is not higher than the current maximum demand limit value;
the charging unit is used for charging the energy storage system by using the charging depth meeting the target preset condition when the energy storage system is detected to be in a standing state at present;
the changing unit is used for executing any target operation on the energy storage system under the condition that the preset target condition is met when the energy storage system is detected to be in a discharging state currently; wherein the target operation includes reducing a depth of discharge, changing to a rest state, or changing to a charge state.
A third aspect of the present application provides an electronic device comprising:
a memory and a processor;
wherein the memory is used for storing programs;
the processor is configured to execute the program, and the program, when executed, is specifically configured to implement the power demand control method according to any one of the above.
A fourth aspect of the present application provides a computer storage medium storing a computer program which, when executed, is adapted to implement the power demand control method as defined in any one of the above.
The application provides a power demand control method, which is used for determining a current maximum demand limit value at the current moment. And then, before the current time is in the switching time point of the current demand period, calculating the user side load predicted value at the next time, and comparing whether the user side load predicted value at the next time is greater than the current maximum demand limit value or not. And if the predicted value of the load of the user side at the next moment is larger than the current maximum demand limit value, determining the difference value obtained by subtracting the predicted value of the load of the user side at the next moment from the current maximum demand limit value as the target power at the next moment. And when the current time is after the switching time point of the current demand period, calculating the average power from the starting time of the current demand period to the current time to obtain the current average power, and comparing whether the current average power is greater than the current maximum demand limit value or not. And if the current average power is larger than the current maximum demand limit value by comparison, determining the product of the difference value obtained by subtracting the current average power from the current maximum demand limit value and the current control times of the current demand period as the target power at the next moment. And finally, controlling the energy storage system based on the target power at the next moment. Therefore, a control period is divided into two stages by switching time points, the first stage is controlled based on the predicted value, the second node is controlled based on the average power, and therefore control based on the predicted value is avoided all the time, and when the calculation accuracy of the average power meets the requirement, control is carried out based on the average power, and the accuracy of control is effectively guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a power demand control method according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for determining a current maximum demand limit at a current time according to an embodiment of the present application;
fig. 3 is a flowchart of a method for calculating a predicted value of a load on a user side at a next time according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a power demand control apparatus according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In this application, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The embodiment of the application provides a power demand control method, as shown in fig. 1, including the following steps:
and S101, determining the current maximum demand limit value at the current moment.
It should be noted that the control of the power demand of the power distribution system is mainly to control the power of the power distribution system not to be greater than the maximum demand limit. In the present application, the maximum demand limit is not fixed, so that each time control is performed, the current maximum demand limit at the current time needs to be determined, so as to determine the control quantity at the next time based on the current maximum demand limit.
The current maximum demand limit value at the current moment can also be determined based on the collected related data. In order to realize the method provided by the embodiment of the application, the real-time data of the gateway table, the user total load table, the energy storage electric meter and the energy storage PCS system can be collected in real time so as to facilitate the subsequent calculation of the related data.
Optionally, in this embodiment of the present application, as shown in fig. 2, a specific implementation manner of step S101 includes:
s201, acquiring the actual maximum demand of the current month from the current month starting time to the current time and a preset maximum demand set value of the current month.
Wherein, the actual maximum demand of the current month refers to the maximum actual demand appearing in the recorded actual demands from the starting time of the current month to the current time.
S202, multiplying the larger value of the actual maximum demand of the current month and the maximum demand set value of the current month by a demand control coefficient to obtain the current maximum demand limit value of the current moment.
In order to ensure the demand, the larger value of the actual maximum demand in the current month and the set value of the maximum demand in the current month is selected, and then the selected value is multiplied by a demand control coefficient, so that the maximum limit value of the surface demand is too large, and the control requirement can be met.
S102, judging whether the current time is before the switching time point of the current demand period.
It should be noted that the metering of the demand of the gateway table is performed in cycles, so in the embodiment of the present application, the control of the demand of the power distribution system is also performed in cycles. I.e. the current demand period coincides with the metering period of the gateway table demand. Typically, the metering period for the gateway table sequence is 15 minutes.
In the embodiment of the present application, a demand period is divided into two phases for control, where the first phase is controlled based on the predicted load value on the user side, and the second phase is controlled based on the average power. And the first stage and the second node need to be divided by the set switching time point.
Therefore, in the embodiment of the present application, it needs to determine whether the current time is before the switching time point of the current demand period or after the switching time point of the current demand period, and control is performed in different manners. So, if the current time is determined to be before the switching time point of the current demand period, step S103 is executed. If the current time is not before the switching time point of the current demand period and the current time is not after the switching time point of the current demand period, step S106 is executed.
Step S102 is only one optional manner, and may also be to determine whether the current time is after the switching time point of the current demand period. The switching time point may be divided into a first stage and a second stage.
Alternatively, in order to ensure the accuracy of the control, the setting of the switching time point may be determined based on the accuracy of the average power calculation, that is, when the accuracy of the calculated average power at a certain time point may satisfy the requirement, the time point may be set as the switching time point. However, since different calculation methods, principles, and calculation data are different for the average power, the relationship between accuracy and time is also different, and therefore, when setting the switching time point, the calculation method for the average power to be used needs to be considered.
And S103, calculating a predicted user side load value at the next moment.
The predicted value of the load at the user side is an average power predicted value, but not an instantaneous power predicted value. The prediction may specifically be based on historical data.
Optionally, in another embodiment of the present application, a specific implementation manner of step S103, as shown in fig. 3, includes:
s301, calculating the predicted value of the instantaneous power at the next moment by using an autoregressive moving average model.
The autoregressive moving average model may be defined as follows:
wherein P (t) is an instantaneous power predicted value at the moment t; p is an autoregressive order; gamma ray i Is an autocorrelation coefficient; q is the moving average order; theta is an error weight coefficient; ε represents the error; mu is a constant term; ξ is white noise.
S302, calculating the average value of the instantaneous power predicted value at the next moment and the instantaneous power predicted value at each moment in a specified time range before the current moment to obtain the user side load predicted value at the next moment.
Specifically, after the instantaneous predicted value at the next time is obtained through calculation in step S301, an average power is obtained through calculation in an average calculation manner, so that the demand at the next time can be better reflected.
Optionally, the model may be trained by using at least load data 48 hours before the current time as historical data, and the power at the next time is predicted, that is, the specified time range may be 48 hours, so as to ensure the accuracy of prediction.
And S104, comparing whether the predicted value of the load of the user side at the next moment is larger than the current maximum demand limit value.
If the predicted value of the load on the user side at the next moment is greater than the current maximum demand limit value, it is determined that the demand needs to be adjusted, so step S105 is executed at this time.
Alternatively, if the predicted value of the load on the user side at the next moment is not greater than the current maximum demand limit value by comparison, the target power at the next moment can be directly set to zero, that is, the demand is not adjusted.
And S105, determining the difference value obtained by subtracting the predicted load value of the user side at the next moment from the current maximum demand limit value as the target power at the next moment.
Since the predicted value of the load at the user side at the next moment is greater than the current maximum demand limit, the power adjusted by the minimum demand is the difference between the current maximum demand limit and the predicted value of the load at the user side at the next moment, and the difference between the current maximum demand limit and the predicted value of the load at the user side at the next moment is determined as the target power at the next moment. The difference between the two is negative, and the negative is to reduce the power.
S106, calculating the average power from the starting time of the current demand period to the current time to obtain the current average power.
Since the current time is already in the second control phase, the average power calculation is needed, and therefore the average power from the start time of the current demand period to the current time will be calculated.
Alternatively, for the calculation method of the current average power, a power difference method or an average power-power method may be adopted for calculation.
The electric quantity difference method is to calculate the difference between the positive active electric energy of the gateway meter at the current moment and the positive active electric energy at the starting moment to obtain the electric energy consumed from the starting moment to the current moment, and then divide the difference by the total time from the starting moment to the current moment to obtain the current average power. Alternatively, since a demand period is typically 15 minutes, the total time from the start time to the current time is no longer greater than 15 minutes, so if the current average power is desired, expressed as the average power over an hour, then it is possible to further multiply by 60, from the power over a minute to the power over an hour.
The average power rule is to calculate the average value of the real-time power at each time from the starting time to the current time in the current demand period.
S107, comparing whether the average power of the gateway table at the current moment is larger than the current maximum demand limit value.
If the average power of the table of the gates at the current time is greater than the current maximum demand limit value, step S108 is executed.
Alternatively, if the average power of the table of the current time is not greater than the current maximum demand limit value, it may be said that no adjustment is needed, so the target power at the next time may be directly set to zero at this time.
And S108, determining the product of the difference value obtained by subtracting the current average power from the current maximum demand limit value and the current control times of the current demand period as the target power of the next moment.
It should be noted that, in the embodiment of the present application, each item of data is calculated according to a certain granularity. For example, the calculation may be performed at a granularity of once per minute. The interval for demand is calculated in terms of a time interval. The current control times of the current demand period refer to the times of control executed from the real time of the current demand period to the current time, that is, the times of executing the control method provided in the embodiment of the present application.
Since the average power is used for control, and the average power may have accumulated errors, the difference between the current maximum demand limit and the average power of the gateway table at the current time needs to be calculated, and then the current control number of the current demand period needs to be further multiplied, and the finally obtained product is used as the target power at the next time.
And S109, controlling the energy storage system based on the target power at the next moment.
Specifically, the power of the energy storage system can be directly reduced according to the target power at the next moment, and certainly, the target power at the next moment is only the power which needs to be adjusted at least, and can be further reduced only by ensuring that the power of the energy storage system is not higher than the demand limit value.
Optionally, in another embodiment of the present application, a specific implementation manner of step S108 includes:
and if the energy storage system is currently in a charging state, reducing the charging power of the energy storage system according to the target power at the next moment. And if the energy storage system is in a standing state or a discharging state at present, discharging the energy storage system according to the target power at the next moment.
Specifically, if the energy storage system is currently in a standing state, the energy storage system needs to be discharged in an examination, and if the energy storage system is divided by the discharging state, the discharging depth is increased specifically.
Specifically, since the first stage and the second stage are controlled based on different data, during the first stage, after the charging power of the energy storage system is reduced by a minimum margin to change the power of the energy storage system, it is a constraint that the requirement of the gateway table is not higher than the current maximum requirement limit. When the energy storage system is discharged, the requirement of the gateway table is not higher than the current maximum requirement limit value after the minimum discharge amplitude is used for changing the power of the energy storage system, and when the discharge depth is increased, the requirement of the gateway table is not higher than the current maximum requirement limit value after the minimum discharge depth is used for changing the power of the energy storage system.
During the second stage, when the charging power of the energy storage system is reduced, after the minimum reduction amplitude is used for changing the power of the energy storage system, the constraint that the average power of the demand period of the gateway table is not higher than the current maximum demand limit value is taken. When the energy storage system is discharged, the average power of the demand period of the gateway table is not higher than the current maximum demand limit value after the minimum discharge amplitude changes the power of the energy storage system, and when the discharge depth is increased, the average power of the demand period of the gateway table is not higher than the current maximum demand limit value after the minimum discharge depth changes the power of the energy storage system.
Optionally, in another embodiment of the present application, the method may further include:
and if the predicted value of the load of the user side at the next moment is not greater than the current maximum demand limit value or the current average power is greater than the current maximum demand limit value, detecting the current state of the energy storage system.
And if the energy storage system is in a charging state at present, increasing the charging depth of the energy storage system under the condition of meeting the target constraint condition.
The target constraint condition is that the demand of the gateway table is not higher than the current maximum demand limit value before the switching time point of the current demand period, and the average power of the gateway table is not higher than the current maximum demand limit value after the switching time point of the current demand period;
and if the energy storage system is in a standing state at present, charging the energy storage system by using the charging depth meeting the target preset condition.
And if the energy storage system is in a discharging state at present, executing any one target operation on the energy storage system under the condition of meeting a target preset condition.
Wherein the target operation includes reducing a depth of discharge, changing to a rest state, or changing to a charge state.
In the embodiment of the application, in the first stage, the predicted value of the load on the user side at the next moment is compared to be not greater than the current maximum demand limit value, or the current average power is compared to be not greater than the current maximum demand limit value, so that the power of the energy storage system is allowed to be properly adjusted under the condition that the target preset condition is met. Of course, adjustments may be required.
Specifically, in the first stage, when the energy storage system is in a charging state, the charging depth is allowed to be properly increased, when the energy storage system is in a standing state, the energy storage system is allowed to be changed into the charging state, and after the power of the energy storage system is changed, the maximum depth of charging is restricted by the condition that the requirement of the gateway table is not higher than the current maximum requirement limit value. If the energy storage system is in a discharging state, the energy storage system is allowed to reduce the discharging depth, or is changed into a standing state or a charging state, and the energy storage system reduces the discharging depth, is changed into the standing state or is changed into a power limit value of the charging state, so that after the power of the energy storage system is changed, the requirement of the gateway table is not higher than the current maximum requirement limit value.
In the second stage, correspondingly, when the energy storage system is in a charging state, the charging depth is allowed to be properly increased, when the energy storage system is in a standing state, the energy storage system is allowed to be changed into the charging state, and after the power of the energy storage system is changed, the average power of the requirement period of the gateway table is not higher than the current maximum requirement limit value as the constraint. If the energy storage system is in a discharging state, the energy storage system is allowed to reduce the discharging depth, or is changed into a standing state or a charging state, and the energy storage system reduces the discharging depth, is changed into the standing state or is changed into a power limit value of the charging state, so that after the power of the energy storage system is changed, the average power of the requirement period of the gateway table is not higher than the current maximum requirement limit value.
Alternatively, in order to maintain a sufficient amount of power for the energy storage system when the demand control is performed, it is necessary to select an appropriate time for charging when the gateway meter demand is not exceeded or the user-side load demand is not exceeded. Generally, if the energy storage system is applied to a peak clipping and valley filling scenario, charging may be performed in the valley segment or the flat segment. If the valley section or the flat section does not have enough electricity needed for controlling the demand, the electricity can also be charged in the peak section or the peak section to ensure the electricity needed for controlling the demand. If the method is applied to a pure demand control scene, charging can be carried out when the demand of any closing table of a valley section, a flat section, a peak section and a peak section is not exceeded or the load demand of a user side is not exceeded, so that the electric quantity required by demand control is ensured.
The embodiment of the application provides a power demand control method, which is used for determining the current maximum demand limit value at the current moment. And then, before the current time is in the switching time point of the current demand period, calculating the predicted value of the user side load at the next time, and comparing whether the predicted value of the user side load at the next time is greater than the current maximum demand limit value. And if the predicted value of the load of the user side at the next moment is larger than the current maximum demand limit value, determining the difference value obtained by subtracting the predicted value of the load of the user side at the next moment from the current maximum demand limit value as the target power at the next moment. And when the current time is after the switching time point of the current demand period, calculating the average power from the starting time of the current demand period to the current time to obtain the current average power, and comparing whether the current average power is greater than the current maximum demand limit value or not. And if the current average power is larger than the current maximum demand limit value, determining the product of the difference value of the current maximum demand limit value minus the average power of the gateway table at the current moment and the current control times of the current demand period as the target power at the next moment. And finally, controlling the energy storage system based on the target power at the next moment. Therefore, a control period is divided into two stages by switching time points, the first stage is controlled based on a predicted value, the second node is controlled based on the average power, and therefore control based on a predicted value key is avoided all the time, and when the calculation accuracy of the average power meets the requirement, control is performed based on the average power, and the accuracy of control is effectively guaranteed.
Another embodiment of the present application provides a power demand control apparatus, as shown in fig. 4, including the following units:
a limit determining unit 401, configured to determine a current maximum demand limit at the current time.
A predicting unit 402, configured to calculate a predicted value of the user-side load at a next time when the current time is before a switching time point of the current demand period.
A first comparing unit 403, configured to compare whether the predicted value of the user-side load at the next time is greater than the current maximum demand limit.
A first power determining unit 404, configured to determine, when it is compared that the predicted value of the user side load at the next time is greater than the current maximum demand limit, a difference obtained by subtracting the predicted value of the user side load at the next time from the current maximum demand limit as the target power at the next time.
The power calculating unit 405 is configured to calculate an average power from the starting time of the current demand period to the current time when the current time is after the switching time point of the current demand period, so as to obtain the current average power.
A second comparing unit 406, configured to compare whether the current average power is greater than the current maximum demand limit.
And a second power determining unit 407, configured to determine, when it is compared that the current average power is greater than the current maximum demand limit, a product of a difference obtained by subtracting the current average power from the current maximum demand limit and the current control number of the current demand period as the target power at the next time.
And a control unit 408, configured to control the energy storage system based on the target power at the next time.
Optionally, in an electric power demand control apparatus provided in another embodiment of the present application, the limit value determining unit includes:
and the demand data acquisition unit is used for acquiring the actual maximum demand of the current month from the current month starting time to the current time and a preset maximum demand set value of the current month.
And the limitation calculation unit is used for multiplying the larger value of the actual maximum demand in the current month and the set value of the maximum demand in the current month by the demand control coefficient to obtain the current maximum demand limit value at the current moment.
Optionally, in an electric power demand control apparatus provided in another embodiment of the present application, the prediction unit includes:
and the first calculation unit is used for calculating the predicted value of the instantaneous power at the next moment by using the autoregressive moving average model.
And the second calculating unit is used for calculating the average value of the instantaneous power predicted value at the next moment and the instantaneous power predicted value at each moment in a specified time range before the current moment to obtain the user side load predicted value at the next moment.
Optionally, in an electric power demand control apparatus provided in another embodiment of the present application, the control unit includes:
and the first control subunit is used for reducing the charging power of the energy storage system according to the target power at the next moment if the energy storage system is currently in the charging state.
And the second control subunit is used for discharging the energy storage system according to the target power at the next moment if the energy storage system is currently in a standing state or a discharging state.
Optionally, in an electric power demand control apparatus provided in another embodiment of the present application, the apparatus further includes:
and the detection unit is used for detecting the current state of the energy storage system if the predicted value of the load of the user side at the next moment is not greater than the current maximum demand limit value or the current average power is not greater than the current maximum demand limit value.
And the lifting unit is used for increasing the charging depth of the energy storage system under the condition of meeting the target constraint condition when the energy storage system is detected to be in the charging state at present. The target constraint condition is that the demand of the gateway table is not higher than the current maximum demand limit value before the switching time point of the current demand period, and the average power of the gateway table is not higher than the current maximum demand limit value after the switching time point of the current demand period.
And the charging unit is used for charging the energy storage system by using the charging depth meeting the target preset condition when the energy storage system is detected to be in the standing state at present.
And the changing unit is used for executing any target operation on the energy storage system under the condition that the preset target condition is met when the energy storage system is detected to be in the discharging state at present. Wherein the target operation includes reducing a depth of discharge, changing to a rest state, or changing to a charge state.
It should be noted that, for the specific working processes of each unit provided in the foregoing embodiments of the present application, reference may be made to the specific implementation processes of each corresponding step provided in the foregoing method embodiments, and details are not described here again.
Another embodiment of the present application provides an electronic device, as shown in fig. 5, including:
a memory 501 and a processor 502.
The memory 501 is used for storing programs.
The processor 502 is configured to execute a program stored in the memory 501, which when executed is specifically configured to implement the power demand control method provided in any of the embodiments described above.
Another embodiment of the present application provides a computer storage medium storing a computer program for implementing the power demand control method provided in any one of the above embodiments when the computer program is executed.
Computer storage media, including persistent and non-persistent, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A power demand control method, characterized by comprising:
determining a current maximum demand limit value at the current moment;
if the current time is before the switching time point of the current demand period, calculating the predicted value of the user side load at the next time;
comparing whether the predicted value of the load of the user side at the next moment is larger than the current maximum demand limit value or not;
if the predicted value of the load at the user side at the next moment is greater than the current maximum demand limit value by comparison, determining the difference value obtained by subtracting the predicted value of the load at the user side at the next moment from the current maximum demand limit value as the target power at the next moment;
when the current time is after the switching time point of the current demand period, calculating the average power from the starting time of the current demand period to the current time to obtain the current average power;
comparing whether the current average power is larger than the current maximum demand limit value;
if the current average power is larger than the current maximum demand limit value by comparison, determining the product of the difference value obtained by subtracting the current average power from the current maximum demand limit value and the current control times of the current demand period as the target power of the next moment;
and controlling the energy storage system based on the target power at the next moment.
2. The method of claim 1, wherein determining the current maximum demand limit for the current time comprises:
acquiring the actual maximum demand of the current month from the current month starting time to the current time and a preset maximum demand set value of the current month;
and multiplying the larger value of the actual maximum demand of the current month and the set value of the maximum demand of the current month by a demand control coefficient to obtain the current maximum demand limit value of the current moment.
3. The method according to claim 1, wherein said calculating the predicted value of the user-side load at the next time comprises:
calculating the predicted value of the instantaneous power at the next moment by using an autoregressive moving average model;
and calculating the average value of the instantaneous power predicted value at the next moment and the instantaneous power predicted value at each moment in a specified time range before the current moment to obtain the user side load predicted value at the next moment.
4. The method of claim 1, wherein the controlling the energy storage system based on the target power for the next time comprises:
if the energy storage system is currently in a charging state, reducing the charging power of the energy storage system according to the target power at the next moment;
and if the energy storage system is in a standing state or a discharging state at present, discharging the energy storage system according to the target power at the next moment.
5. The method of claim 1, further comprising:
if the predicted value of the load of the user side at the next moment is not greater than the current maximum demand limit value or the current average power is not greater than the current maximum demand limit value, detecting the current state of the energy storage system;
if the energy storage system is in a charging state at present, increasing the charging depth of the energy storage system under the condition of meeting a target constraint condition; wherein the target constraint condition is that before the switching time point of the current demand period, the demand of the gateway table is not higher than the current maximum demand limit value, and after the switching time point of the current demand period, the average power of the gateway table is not higher than the current maximum demand limit value;
if the energy storage system is in a standing state at present, charging the energy storage system by using the charging depth meeting the target preset condition;
if the energy storage system is in a discharging state at present, executing any one target operation on the energy storage system under the condition that the preset target condition is met; wherein the target operation comprises reducing a depth of discharge, changing to a rest state, or changing to a charge state.
6. An electric power demand control apparatus, characterized by comprising:
a limit value determining unit, configured to determine a current maximum demand limit value at a current time;
the prediction unit is used for calculating the predicted value of the load of the user side at the next moment when the current moment is before the switching time point of the current demand period;
the first comparison unit is used for comparing whether the predicted value of the load of the user side at the next moment is greater than the current maximum demand limit value;
a first power determining unit, configured to determine, when it is compared that the predicted value of the user-side load at the next time is greater than the current maximum demand limit, a difference obtained by subtracting the predicted value of the user-side load at the next time from the current maximum demand limit as the target power at the next time;
the power calculation unit is used for calculating the average power from the starting time of the current demand period to the current time to obtain the current average power when the current time is behind the switching time point of the current demand period;
the second comparison unit is used for comparing whether the current average power is larger than the current maximum demand limit value or not;
a second power determining unit, configured to determine, when it is compared that the current average power is greater than the current maximum demand limit, a product of a difference obtained by subtracting the current average power from the current maximum demand limit and the current control number of the current demand period as the target power at the next time;
and the control unit is used for controlling the energy storage system based on the target power at the next moment.
7. The apparatus of claim 6, wherein the limit determination unit comprises:
the demand data acquisition unit is used for acquiring the actual maximum demand of the current month from the starting time of the current month to the current time and a preset maximum demand set value of the current month;
and the limit calculation unit is used for multiplying the larger value of the actual maximum demand in the current month and the maximum demand set value in the current month by a demand control coefficient to obtain the current maximum demand limit value of the current moment.
8. The apparatus of claim 6, wherein the prediction unit comprises:
the first calculation unit is used for calculating the predicted value of the instantaneous power at the next moment by using an autoregressive moving average model;
and the second calculating unit is used for calculating the average value of the instantaneous power predicted value at the next moment and the instantaneous power predicted value at each moment in a specified time range before the current moment to obtain the user side load predicted value at the next moment.
9. An electronic device, comprising:
a memory and a processor;
wherein the memory is used for storing programs;
the processor is adapted to execute the program, which when executed is particularly adapted to implement the power demand control method of any of claims 1 to 5.
10. A computer storage medium storing a computer program which, when executed, implements the power demand control method according to any one of claims 1 to 5.
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