CN113850496A - Power utilization planning method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses a power utilization planning method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: determining the power utilization requirement of a user according to historical power utilization behavior information of the user; determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity consumption requirement of the user; and determining the peak-to-valley electricity utilization duration of the user as the electricity utilization plan of the user according to the peak-to-valley electricity utilization of the user and preset personalized information. By the technical scheme of the invention, under the condition of ensuring the power consumption requirement of the user, the power consumption plan can be provided for the user, the unreasonable power consumption situation is reduced, and the electricity is effectively saved.
Description
Technical Field
The embodiment of the invention relates to the technical field of energy management, in particular to a power utilization planning method and device, electronic equipment and a storage medium.
Background
The power saving at the user side is the key point for developing the power saving work in China in recent years, and the power users are used as the implementation main body of the power saving service, so the enthusiasm for developing the power saving work is not high.
The reason is that the user has strong blindness when using electricity, the electricity data is not transparent, the user lacks an information channel for acquiring the own electricity consumption level and the electricity characteristics, the problem existing in the electricity using process is difficult to find, and the electricity saving work develops lack of guiding suggestions and the unreasonable electricity using conditions such as overload and peak production and the like generally exist.
Disclosure of Invention
The invention provides a power utilization planning method and device, electronic equipment and a storage medium, which are used for providing power utilization planning for a user and reducing unreasonable power utilization.
In a first aspect, an embodiment of the present invention provides a power consumption planning method, where the method includes:
determining the power utilization requirement of a user according to historical power utilization behavior information of the user;
determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity consumption requirement of the user;
and determining the peak-to-valley electricity utilization duration of the user as the electricity utilization plan of the user according to the peak-to-valley electricity utilization of the user and preset personalized information.
In a second aspect, an embodiment of the present invention further provides an electricity planning apparatus, where the apparatus includes:
the demand determining module is used for determining the power consumption demand of the user according to the historical power consumption behavior information of the user;
the power consumption determining module is used for determining the peak-to-valley power consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the power consumption requirement of the user;
and the electricity utilization duration determining module is used for determining the peak-to-valley electricity utilization duration of the user according to the peak-to-valley electricity utilization quantity of the user and preset personalized information, and the peak-to-valley electricity utilization duration is used as the electricity utilization plan of the user.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the power usage planning method of any embodiment of the invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the power utilization planning method according to any embodiment of the present invention.
According to the power utilization planning method, the power utilization planning device, the power utilization planning equipment and the power utilization planning storage medium, the power utilization requirement of a user is determined according to the historical power utilization behavior information of the user; determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity consumption requirement of the user; and determining the peak-to-valley electricity utilization duration of the user as the electricity utilization plan of the user according to the peak-to-valley electricity utilization of the user and preset personalized information. Through the technical scheme of this embodiment, the problem that the power saving work is lack of instructive suggestion for development and unreasonable power consumption such as overload and peak production generally exists is solved, under the condition of guaranteeing the power consumption demand of the user, power consumption planning is provided for the user, the occurrence of unreasonable power consumption situation is reduced, the effect of effective power saving is realized, and a new idea is provided for the power consumption planning.
Drawings
Fig. 1 is a flowchart of an electricity planning method according to an embodiment of the present invention;
fig. 2 is a flowchart of an electricity planning method according to a second embodiment of the present invention;
fig. 3 is a block diagram of a power utilization planning apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a power consumption planning method according to an embodiment of the present invention, which is applicable to a case where a power consumption planning scheme is provided for a user according to a historical power consumption behavior of the user, and is particularly applicable to a case where power consumption data of the user is opaque when the user uses power, and an information channel for acquiring a power consumption level and a power consumption characteristic of the user is lacked, which results in unreasonable power consumption. The method can be executed by the power utilization planning device provided by the embodiment of the invention, and the device can be realized in a software and/or hardware mode and can be integrated on electronic equipment.
Specifically, as shown in fig. 1, the power utilization planning method provided in the embodiment of the present invention may include the following steps:
and S110, determining the power utilization requirement of the user according to the historical power utilization behavior information of the user.
Wherein, the user refers to a power user. Specifically, according to the amount of power consumption, users can be classified into a large category, a medium category and a small category; according to the price of electricity, users can be classified into industrial electricity, agricultural electricity, commercial electricity, residential electricity and the like. The historical electricity consumption behavior information includes information such as daily electric appliance use periods and power consumption of power consumers. Preferably, the power consumption information may be accurate to the usage period of each appliance. Furthermore, the habit electricity utilization time and the electricity consumption of the user in the preset time range are counted and used as one of the personalized information of the user, and the personalized electricity utilization planning is carried out for the follow-up according to the user.
For convenience of calculation, in an optional implementation manner, the power consumption requirement of the user is determined according to the historical power consumption behavior information of the user, the daily power consumption is directly accumulated and summed up to be averaged, and the daily average power consumption is determined as the power consumption requirement of the user.
For example, the daily electricity consumption of the user can be determined according to the historical electricity consumption behavior information of the user; discretizing the daily electric quantity of the user, and determining the daily electric quantity interval and distribution of the user; and determining the average daily electricity consumption and the average monthly electricity consumption of the user according to the daily electricity consumption interval and the distribution of the daily electricity consumption of the user as the electricity consumption demand of the user.
In another optional implementation mode, considering the influence of the air temperature on the electricity utilization behavior of the user, the electricity utilization requirement of the user can be determined based on the historical electricity utilization behavior information of the user in the same air temperature interval; considering the influence of working day or not on the electricity consumption behavior of the user, the electricity consumption of working day and non-working day can be respectively averaged. It should be noted that other factors that affect the electricity consumption behavior of the user can also be taken into account, and this configuration has the advantages of reducing the influence of other factors and improving the accuracy of determining the electricity consumption requirement.
And S120, determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity demand of the user.
The peak-to-valley electricity price is also called as time-of-use electricity price, and refers to an electricity price system for calculating electricity charges according to peak electricity utilization and valley electricity utilization. Peak power utilization generally refers to power utilization when users are concentrated and power supply is in short supply, and the charging standard is higher in daytime; the low ebb electricity consumption generally refers to the electricity consumption when the electricity consumption user is less and the power supply is more sufficient, for example, the charging standard is lower at night. The time-of-use electricity price is beneficial to prompting the electricity users to stagger the electricity utilization time, and fully utilizes equipment and energy.
It can be understood that after the power consumption demand of the user is determined, according to the peak-to-valley power price standard, in order to minimize the power price, the power consumption at the valley can be planned firstly, the normal power consumption is planned secondly, namely, the power consumption is leveled, and finally, the power consumption at the peak is planned finally.
When the transformer is in a low-load state, in addition to electricity consumption, iron loss which is larger than the proportion of the electricity consumption is generated; when the transformer is in a reasonable load state, the proportion of copper loss and iron loss is small, and the loss electric quantity except for power consumption is small; when the transformer is in a full load or overload state, the amount of power loss that causes copper loss and iron loss increases with an increase in load, and the amount of power loss other than power consumption increases with an increase in load.
Considering that the load of the transformer is different and the loss electric quantity is different, in order to improve the accuracy of the planning, it is preferable to determine the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity demand of the user.
For example, if the power consumption of the user a is planned, assume that 1: 00-2: 00 belongs to low valley power consumption, but excessive power loss is caused by overload operation of the transformer in the period, and the peak-to-valley power consumption is determined by considering the total power consumption condition and the peak-to-valley electricity price standard. And if the total electricity fee when the planned electricity consumption is used in the valley of the time interval is higher than the total electricity fee obtained by partially adjusting the electricity consumption behavior to the normal electricity consumption time, determining the peak-to-valley electricity consumption with the lowest total electricity fee as the electricity consumption plan of the user.
And S130, determining the peak-to-valley electricity utilization duration of the user according to the peak-to-valley electricity utilization quantity of the user and preset personalized information, and using the peak-to-valley electricity utilization duration as the electricity utilization plan of the user.
The preset personalized information mainly comprises user types and the working time range of the users. Illustratively, if the working time range of an enterprise user is 9: 00-18: 00, when planning the electricity consumption behavior, the electricity consumption behavior needs to be planned within the working time range preset by the enterprise user instead of being planned out of the preset personalized information.
According to the technical scheme of the embodiment, the power utilization requirement of the user is determined according to the historical power utilization behavior information of the user; determining the peak-to-valley electricity consumption of a user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity demand of the user; and determining the peak-to-valley electricity utilization duration of the user as the electricity utilization plan of the user according to the peak-to-valley electricity utilization amount of the user and preset personalized information. Through the technical scheme of this embodiment, the problem that the power saving work is lack of instructive suggestion for development and unreasonable power consumption such as overload and peak production generally exists is solved, under the condition of guaranteeing the power consumption demand of the user, power consumption planning is provided for the user, the occurrence of unreasonable power consumption situation is reduced, the effect of effective power saving is realized, and a new idea is provided for the power consumption planning.
On the basis of the technical scheme, preferably, a historical electricity utilization behavior analysis report of the user can be determined according to the historical electricity utilization behavior information of the user; the historical power utilization behavior analysis report at least comprises the following steps: daily electricity consumption intervals and distribution of users in each month, average daily electricity consumption, historical peak-valley electricity consumption and electricity consumption duration; and sending the historical electricity utilization behavior analysis report and the electricity utilization plan to a user terminal. The device has the advantages that users can know the power consumption level and the power utilization characteristics of the users, find problems in the power utilization process and provide instructive suggestions for the development of power saving work, so that the unreasonable power utilization conditions such as overload and peak production are reduced.
Example two
Fig. 2 is a flowchart of a power consumption planning method according to a second embodiment of the present invention, which is further optimized based on the above-mentioned second embodiment, and the method determines the peak-to-valley power consumption of the user according to the peak-to-valley power price standard, the load of the transformer, and the power consumption demand of the user, and is optimized to determine the peak-to-valley power consumption of the user according to the peak-to-valley power price standard, the load of the transformer, and the power consumption demand of the user if the load of the transformer is within the preset load standard range; if the load of the transformer is out of the preset load standard range, determining the load rate of the transformer; and determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the electricity demand of the user and the load and load rate of the transformer.
Specifically, as shown in fig. 2, the method includes:
s210, determining the power utilization requirement of the user according to the historical power utilization behavior information of the user.
Wherein, the user refers to a power user. Specifically, according to the amount of power consumption, users can be classified into a large category, a medium category and a small category; according to the price of electricity, users can be classified into industrial electricity, agricultural electricity, commercial electricity, residential electricity and the like. The historical electricity consumption behavior information includes information such as daily electric appliance use periods and power consumption of power consumers. Preferably, the power consumption information may be accurate to the usage period of each appliance. Furthermore, the habit electricity utilization time and the electricity consumption of the user in the preset time range are counted and used as one of the personalized information of the user, and the personalized electricity utilization planning is carried out for the follow-up according to the user.
For convenience of calculation, in an optional implementation manner, the power consumption requirement of the user is determined according to the historical power consumption behavior information of the user, the daily power consumption is directly accumulated and summed up to be averaged, and the daily average power consumption is determined as the power consumption requirement of the user.
For example, the daily electricity consumption of the user can be determined according to the historical electricity consumption behavior information of the user; discretizing the daily electric quantity of the user, and determining the daily electric quantity interval and distribution of the user; and determining the average daily electricity consumption and the average monthly electricity consumption of the user according to the daily electricity consumption interval and the distribution of the daily electricity consumption of the user as the electricity consumption demand of the user.
And calculating the average daily electricity consumption and the average monthly electricity consumption of each user, taking the average value as the electricity demand of the user, and planning the monthly electricity consumption time and the electricity consumption. Let y be the electricity usage interval given by each object in the object set E, i.e.
y∈Ei[ai(x)]
Supposing that the average value of the annual monthly power consumption of the enterprise is similar, and the variance is small; the daily electric quantity of the enterprise is discretized, and the model accuracy is improved. Let m be the number of samples contained in the sample set, k be the total number of classes in the sample set, and miIs the number of samples in the i-th interval of the division, mijIs the number of the ith interval belonging to the category j, the entropy of the first interval can be defined as:
wherein p isij＝mij/miIs the proportion of the class j in the ith interval to the samples. After the interval division is completed, the total entropy e is the weighted average of the entropies of the intervals, i.e. the entropy of each interval
Wherein, wi＝miWhere m is the ratio of samples in each interval, and n is the number of divided intervals.
According to the peak-valley electricity price standard and the monthly peak-valley electricity consumption of the enterprise, a decision variable is constructed
Because the coefficient C of the objective function cannot be uniquely determinedi(i-1, 2, …, n) and only C can be estimatediPossible variation range [ C ]1,C2]I.e. CiThe value of (a) has uncertainty. Meanwhile, many other indexes in the constraint conditions are determined by comprehensive predictive analysis, and the established linear programming model, namely the objective function and the constraint conditions have ambiguityFuzzy linear programming of (1).
Determining a single valley interval [ a, b ]]And giving interval precision. Respectively adopting the same or different statistical methods to give ai(x) Has a probability distribution function of Fi(α, x) then have
Handle
When the linear programming function is converted into a probability set, the linear programming function is
In another optional implementation mode, considering the influence of the air temperature on the electricity utilization behavior of the user, the electricity utilization requirement of the user can be determined based on the historical electricity utilization behavior information of the user in the same air temperature interval; considering the influence of working day or not on the electricity consumption behavior of the user, the electricity consumption of working day and non-working day can be respectively averaged. It should be noted that other factors that may affect the electricity consumption behavior of the user may also be taken into account, and this arrangement has the advantage of reducing the influence of other factors and improving the accuracy of determining the electricity consumption requirement.
S220, judging whether the load of the transformer is within a preset load standard range, and if so, executing S230A; otherwise, S230B is executed.
Wherein, the preset load standard range can be understood as that the transformer is in a reasonable load range.
When the transformer is in a low-load state, in addition to electricity consumption, iron loss which is larger than the proportion of the electricity consumption is generated; when the transformer is in a reasonable load state, the proportion of copper loss and iron loss is small, and the loss electric quantity except for power consumption is small; when the transformer is in a full load or overload state, the amount of power loss that causes copper loss and iron loss increases with an increase in load, and the amount of power loss other than power consumption increases with an increase in load.
Considering that the load of the transformer is different and the loss electric quantity is different, in order to improve the accuracy of the planning, it is preferable to determine the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity demand of the user.
And S230A, determining the peak-valley electricity consumption of the user according to the peak-valley electricity price standard, the load of the transformer and the electricity demand of the user.
The peak-to-valley electricity price is also called as time-of-use electricity price, and refers to an electricity price system for calculating electricity charges according to peak electricity utilization and valley electricity utilization. Peak power utilization generally refers to power utilization when users are concentrated and power supply is in short supply, and the charging standard is higher in daytime; the low ebb electricity consumption generally refers to the electricity consumption when the electricity consumption user is less and the power supply is more sufficient, for example, the charging standard is lower at night. The time-of-use electricity price is beneficial to prompting the electricity users to stagger the electricity utilization time, and fully utilizes equipment and energy.
It can be understood that, if the load of the transformer is within the preset load standard range, that is, the transformer is in a reasonable load state, the proportion of the generated copper loss and the iron loss is small, and the loss electric quantity except the power consumption is small. At this time, the peak-to-valley electricity consumption of the user can be determined according to the peak-to-valley electricity price standard, the load of the transformer and the electricity demand of the user. In order to minimize the price of electricity, the electricity consumption at the valley can be planned firstly, the normal electricity consumption is planned secondly, namely, the electricity consumption is flat, and the electricity consumption at the peak is planned finally.
S230B, determining the load rate of the transformer; and determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the electricity demand of the user and the load and load rate of the transformer.
If the load of the transformer is out of the preset load standard range, namely the transformer is in a low-load state, in addition to the electricity consumption, iron loss with a larger proportion than the electricity consumption is generated; when the transformer is in a full load or overload state, the amount of power loss that causes copper loss and iron loss increases with an increase in load, and the amount of power loss other than power consumption increases with an increase in load.
At this time, the load rate of the transformer may be determined first, and then the peak-to-valley electricity consumption of the user may be determined according to the peak-to-valley electricity price standard, the electricity demand of the user, the load and the load rate of the transformer.
S240, determining the peak-to-valley electricity utilization duration of the user according to the peak-to-valley electricity utilization amount of the user and preset personalized information, and using the peak-to-valley electricity utilization duration as the electricity utilization plan of the user.
According to the technical scheme of the embodiment, the peak-to-valley electricity consumption of a user is determined according to the peak-to-valley electricity price standard, the load of the transformer and the electricity demand of the user when the load of the transformer is within the preset load standard range; if the load of the transformer is out of the preset load standard range, determining the load rate of the transformer; and determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the electricity demand of the user and the load and load rate of the transformer. Through the scheme of the embodiment, the problem of large electric energy waste caused by overhigh load of the transformer is solved, and the expansion of the power-saving work of the user side is facilitated.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electricity planning apparatus provided in the third embodiment of the present invention, which is suitable for executing the electricity planning method provided in the third embodiment of the present invention, and can provide an electricity plan for a user, thereby reducing the occurrence of unreasonable electricity utilization. As shown in FIG. 3, the apparatus includes a demand determination module 310, a power usage determination module 320, and a length of electricity usage determination module 330.
The demand determining module 310 is configured to determine the power consumption demand of the user according to the historical power consumption behavior information of the user;
the power consumption determining module 320 is configured to determine peak-to-valley power consumption of a user according to the peak-to-valley electricity price standard, the load of the transformer, and the power consumption requirement of the user;
and the electricity consumption duration determining module 330 is configured to determine the peak-to-valley electricity consumption duration of the user according to the peak-to-valley electricity consumption of the user and preset personalized information, and use the determined peak-to-valley electricity consumption duration as the electricity consumption plan of the user.
According to the technical scheme of the embodiment, the power utilization requirement of the user is determined according to the historical power utilization behavior information of the user; determining the peak-to-valley electricity consumption of a user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity demand of the user; and determining the peak-to-valley electricity utilization duration of the user as the electricity utilization plan of the user according to the peak-to-valley electricity utilization amount of the user and preset personalized information. Through the technical scheme of this embodiment, the problem that the power saving work is lack of instructive suggestion for development and unreasonable power consumption such as overload and peak production generally exists is solved, under the condition of guaranteeing the power consumption demand of the user, power consumption planning is provided for the user, the occurrence of unreasonable power consumption situation is reduced, the effect of effective power saving is realized, and a new idea is provided for the power consumption planning.
Preferably, the demand determination module 310 includes a daily power consumption determination unit, an interval distribution determination unit, and a power consumption demand determination unit.
The daily electricity consumption determining unit is used for determining the daily electricity consumption of the user according to the historical electricity consumption behavior information of the user;
the interval distribution determining unit is used for discretizing the daily electric quantity of the user and determining the daily electric quantity interval and the distribution of the daily electric quantity of the user;
and the power consumption requirement determining unit is used for determining the average daily power consumption and the average monthly power consumption of the user according to the daily power consumption interval and the distribution of the daily power consumption interval of the user as the power consumption requirement of the user.
Preferably, the power consumption amount determining module 320 includes a first power amount determining unit and a second power amount determining unit.
The first electric quantity determining unit is used for determining the peak-to-valley electricity consumption of a user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity demand of the user if the load of the transformer is within the preset load standard range;
the second electric quantity determining unit is used for determining the load rate of the transformer if the load of the transformer is out of the preset load standard range; and determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the electricity demand of the user and the load and load rate of the transformer.
Preferably, the device further comprises an analysis report determination module and an analysis plan transmission module.
The analysis report determining module is used for determining a historical electricity utilization behavior analysis report of the user according to the historical electricity utilization behavior information of the user; the historical power utilization behavior analysis report at least comprises the following steps: daily electricity consumption intervals and distribution of users in each month, average daily electricity consumption, historical peak-valley electricity consumption and electricity consumption duration;
and the analysis plan sending module is used for sending the historical power utilization behavior analysis report and the power utilization plan to the user terminal.
The power utilization planning device provided by the embodiment of the invention can execute the power utilization planning method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary electronic device 12 suitable for use in implementing embodiments of the present invention. The electronic device 12 shown in fig. 4 is only an example and should not bring any limitation to the function and the scope of use of the embodiment of the present invention.
As shown in FIG. 4, electronic device 12 is embodied in the form of a general purpose computing device. The components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes programs stored in the system memory 28 to execute various functional applications and data processing, such as implementing a power consumption planning method provided by an embodiment of the present invention.
EXAMPLE five
The fifth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the power consumption planning method provided in any embodiment of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for power usage planning, the method comprising:
determining the power utilization requirement of a user according to historical power utilization behavior information of the user;
determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity consumption requirement of the user;
and determining the peak-to-valley electricity utilization duration of the user as the electricity utilization plan of the user according to the peak-to-valley electricity utilization of the user and preset personalized information.
2. The method of claim 1, wherein determining the power demand of the user according to historical power consumption behavior information of the user comprises:
determining the daily electricity consumption of the user according to the historical electricity consumption behavior information of the user;
discretizing the daily electric quantity of the user, and determining the daily electric quantity interval and distribution of the user;
and determining the average daily electricity consumption and the average monthly electricity consumption of the user according to the daily electricity consumption interval and the distribution of the daily electricity consumption of the user, wherein the average daily electricity consumption and the average monthly electricity consumption are used as the electricity consumption requirements of the user.
3. The method of claim 1, wherein determining the peak-to-valley power usage of the customer based on peak-to-valley electricity rate criteria, a load of a transformer, and a power demand of the customer comprises:
if the load of the transformer is within a preset load standard range, determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity consumption requirement of the user;
if the load of the transformer is out of a preset load standard range, determining the load rate of the transformer;
and determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the electricity demand of the user and the load and load rate of the transformer.
4. The method of claim 1, further comprising:
determining a historical electricity utilization behavior analysis report of a user according to historical electricity utilization behavior information of the user; the historical power utilization behavior analysis report at least comprises the following steps: the daily electricity consumption interval and distribution of the user in each month, average daily electricity consumption, historical peak-valley electricity consumption and electricity consumption duration;
and sending the historical electricity utilization behavior analysis report and the electricity utilization plan to a user terminal.
5. An electricity usage planning apparatus, the apparatus comprising:
the demand determining module is used for determining the power consumption demand of the user according to the historical power consumption behavior information of the user;
the power consumption determining module is used for determining the peak-to-valley power consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the power consumption requirement of the user;
and the electricity utilization duration determining module is used for determining the peak-to-valley electricity utilization duration of the user according to the peak-to-valley electricity utilization quantity of the user and preset personalized information, and the peak-to-valley electricity utilization duration is used as the electricity utilization plan of the user.
6. The apparatus of claim 5, wherein the demand determination module comprises:
the daily electricity quantity determining unit is used for determining the daily electricity quantity of the user according to the historical electricity consumption behavior information of the user;
the interval distribution determining unit is used for discretizing the daily electric quantity of the user and determining the daily electric quantity interval and the distribution of the daily electric quantity of the user;
and the power consumption requirement determining unit is used for determining the average daily power consumption and the average monthly power consumption of the user according to the daily power consumption interval and the distribution of the daily power consumption interval of the user, and the average daily power consumption and the average monthly power consumption are used as the power consumption requirements of the user.
7. The apparatus of claim 5, wherein the power usage determination module comprises:
the first electric quantity determining unit is used for determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the load of the transformer and the electricity consumption requirement of the user if the load of the transformer is within a preset load standard range;
the second electric quantity determining unit is used for determining the load rate of the transformer if the load of the transformer is out of a preset load standard range; and determining the peak-to-valley electricity consumption of the user according to the peak-to-valley electricity price standard, the electricity demand of the user and the load and load rate of the transformer.
8. The apparatus of claim 5, further comprising:
the analysis report determining module is used for determining a historical electricity utilization behavior analysis report of the user according to the historical electricity utilization behavior information of the user; the historical power utilization behavior analysis report at least comprises the following steps: the daily electricity consumption interval and distribution of the user in each month, average daily electricity consumption, historical peak-valley electricity consumption and electricity consumption duration;
and the analysis plan sending module is used for sending the historical power utilization behavior analysis report and the power utilization plan to a user terminal.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the power usage planning method of any of claims 1-5.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of power usage planning as claimed in any one of claims 1 to 5.
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