CN115034672A - Method, device, equipment and storage medium for determining power failure loss - Google Patents
Method, device, equipment and storage medium for determining power failure loss Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for determining power failure loss. The method comprises the following steps: acquiring power failure sample data of various users; generating average user power failure loss functions corresponding to various users according to the power failure sample data; generating a comprehensive user power failure loss function according to the average user power failure loss functions corresponding to various users; and calculating the user power failure loss corresponding to the actual power failure data according to the comprehensive user power failure loss function. According to the technical scheme of the embodiment of the invention, the average user power failure loss function and the comprehensive user power failure loss function corresponding to various users are generated, so that the user power failure loss can be quickly and accurately calculated.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method, a device, equipment and a storage medium for determining power failure loss.
Background
The main task of power enterprises is to provide users with reliable, high-quality electrical energy at a reasonable price. Generally, the higher the electricity price, the higher the reliability. However, if the reliability of the system is low, the power failure accident is frequent, and huge economic loss is brought to the user. Thus, one of the problems facing power utilities is how to determine appropriate levels of power supply reliability and safety.
This level can be addressed by comparing the power supply and distribution costs and the emergency power supply optimal configuration costs with the user profits at different reliability levels, which will be reached at the balance point between the total power supply costs and the user profits. Therefore, to estimate the cost and reliability benefits of optimal power supply and distribution and emergency power supply configurations at different reliability levels, it is necessary to estimate the economic loss, i.e., outage loss, to the user due to the interruption of the power supply. However, the existing automatic power failure loss estimation method has the problems of low estimation efficiency and poor accuracy.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for determining power failure loss, which aim to solve the problem of low estimation accuracy of power failure loss in the prior art.
According to an aspect of the present invention, there is provided a power outage loss determination method, including:
acquiring power failure sample data of various users;
generating average user power failure loss functions corresponding to various users according to the power failure sample data;
generating a comprehensive user power failure loss function according to the average user power failure loss functions corresponding to various users;
and calculating the user power failure loss corresponding to the actual power failure data according to the comprehensive user power failure loss function.
Optionally, obtaining power failure sample data of various users includes:
the method comprises the steps of obtaining peak load sample data of various users and power failure loss sample data under different power failure duration times during peak load.
Optionally, according to the power failure sample data, generating an average user power failure loss function corresponding to each type of user, including:
calculating the total power failure loss and the total peak load of various users under different power failure duration times during the peak load according to the power failure sample data of the various users;
aiming at various users, generating an average user power failure loss function according to the ratio of the total power failure loss to the total peak load under different power failure duration times;
the average user power failure loss function represents the relationship between the power failure loss of various users and the power failure duration.
Optionally, generating a comprehensive user power outage loss function according to the average user power outage loss functions corresponding to various users, including:
acquiring power consumption proportion and load rate of various users, and taking the ratio of the power consumption proportion to the load rate as the loss weight of the various users;
according to the loss weights of various users, carrying out weighted summation on the average user power failure loss functions corresponding to the various users to generate a comprehensive user power failure loss function;
the comprehensive user power failure loss function represents the relationship between the user power failure loss and the power failure duration.
Optionally, calculating the user power outage loss corresponding to the actual power outage data according to the comprehensive user power outage loss function, including:
acquiring the power failure times in a target time period and the load lost during each power failure;
aiming at each power failure, calculating the product of the comprehensive user power failure loss function and the power failure loss load to obtain the user power failure loss in unit time;
and summing the user power failure losses in unit time corresponding to each power failure to obtain the user power failure loss corresponding to the actual power failure data.
Optionally, after calculating the user outage loss corresponding to the actual outage data, the method further includes:
calculating a power failure loss evaluation rate index and a single power failure loss index in unit time according to the power failure loss of a user;
and selecting and executing a matched load reduction scheme according to the power failure loss evaluation rate index and the single power failure loss index.
Optionally, according to the power outage loss of the user, calculating the power outage loss evaluation rate index in unit time and the single power outage loss index, including:
taking the ratio of the power failure loss of the user to the total power failure amount in the target time period as the evaluation rate of the power failure loss in unit time;
and taking the ratio of the power failure loss of the user to the total power failure times in the target time period as the single power failure loss in unit time.
According to another aspect of the present invention, there is provided a power outage loss determination apparatus including:
the sample acquisition module is used for acquiring power failure sample data of various users;
the average calculation module is used for generating average user power failure loss functions corresponding to various users according to the power failure sample data;
the comprehensive calculation module is used for executing an average user power failure loss function corresponding to various users to generate a comprehensive user power failure loss function;
and the power failure loss calculation module is used for calculating the power failure loss of the user corresponding to the actual power failure data according to the comprehensive power failure loss function of the user.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the power outage loss determination method of any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the power outage loss determination method according to any one of the embodiments of the present invention when the computer instructions are executed.
According to the technical scheme of the embodiment of the invention, power failure sample data of various users are obtained; generating average user power failure loss functions corresponding to various users according to the power failure sample data; generating a comprehensive user power failure loss function according to the average user power failure loss functions corresponding to various users; the method has the advantages that the user power failure loss corresponding to the actual power failure data is calculated according to the comprehensive user power failure loss function, the problem that the estimation accuracy of the power failure loss is low in the prior art is solved, and the beneficial effect that the user power failure loss is quickly and accurately calculated by generating the average user power failure loss function corresponding to various users and the comprehensive user power failure loss function is achieved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining a power outage loss according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a power outage loss determination apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device that implements the power outage loss determination method according to the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
It is to be understood that the terms "target" and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
It is understood that before the technical solutions disclosed in the embodiments of the present disclosure are used, the type, the use range, the use scene, etc. of the personal information related to the present disclosure should be informed to the user and obtain the authorization of the user through a proper manner according to the relevant laws and regulations.
For example, in response to receiving an active request from a user, a prompt message is sent to the user to explicitly prompt the user that the requested operation to be performed would require the acquisition and use of personal information to the user. Thus, the user can autonomously select whether to provide personal information to software or hardware such as an electronic device, an application program, a server, or a storage medium that performs the operations of the disclosed technical solution, according to the prompt information.
As an optional but non-limiting implementation manner, in response to receiving an active request from the user, the manner of sending the prompt information to the user may be, for example, a pop-up window, and the prompt information may be presented in a text manner in the pop-up window. In addition, a selection control for providing personal information to the electronic device by the user's selection of "agreeing" or "disagreeing" can be carried in the pop-up window.
It is understood that the above notification and user authorization process is only illustrative and is not intended to limit the implementation of the present disclosure, and other ways of satisfying the relevant laws and regulations may be applied to the implementation of the present disclosure.
It will be appreciated that the data involved in the subject technology, including but not limited to the data itself, the acquisition or use of the data, should comply with the requirements of the corresponding laws and regulations and related regulations.
Example one
Fig. 1 is a flowchart of a method for determining a power outage loss according to an embodiment of the present invention; the present embodiment may be applied to the case of calculating the economic loss caused to the user by the interruption of the power supply, and the method may be executed by a power outage loss determination apparatus, which may be implemented in the form of hardware and/or software, and may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, power failure sample data of various users are obtained.
In the embodiment, when a power failure accident occurs, the power failure losses caused to different users and different power failure durations are different, so that the power supply and distribution cost and reliability benefit problems under different reliability levels can be accurately estimated for reasonably calculating the power failure losses of various users in the urban power grid, and the users can be classified according to different classification standards. Illustratively, the users may be classified according to industry, or electricity charge, etc.
The power failure duration may reflect a reliability level of the power system, that is, the shorter the power failure duration is, the higher the reliability of the power system is, and the longer the power failure duration is, the lower the reliability of the power system is.
Optionally, obtaining power failure sample data of various users includes: the method comprises the steps of obtaining peak load sample data of various users and power failure loss sample data under different power failure duration times during peak load.
In this embodiment, it is assumed that the maximum power loss of the user occurs at peak load, and the degree of power loss is proportional to the load amount. Questionnaires can be respectively designed for various users, and peak load of a single user in the various users and power failure loss under different power failure duration times during the peak load are obtained through the questionnaires, for example, the power failure loss under the time length that the power failure duration time is 1 minute, 30 minutes or 1 hour is obtained.
The peak load of a single user refers to a part of the load of the user, which is located above the average load horizontal line, at each moment in a certain period of time, such as 1 day; average load refers to the average hourly power usage by a user over a determined period of time. The electric power load is the sum of electric power consumed by various electric equipment in an electric power system at a certain moment, and the unit is generally kW.
Wherein, the loss that the loss used actual power failure to cause of power failure is the standard, and the reason that leads to the loss of power failure probably includes: reduced product yield, reduced or lost quality; production equipment damage and idleness or loss; the labor is wasted and is idle; loss and waste of raw materials; drying and spoilage of food and pharmaceutical products; disruption of computer services and information transfer; interruptions and pauses in business activities; electrified transportation, and interruptions and stops in traffic, among others.
And S120, generating an average user power failure loss function corresponding to each type of user according to the power failure sample data.
In this embodiment, the average user power outage loss function corresponding to each user may be statistically generated according to power outage sample data of each user, where the unit of measurement of the average user power outage loss function is yuan/(kW · h), which represents the user loss caused by average power outage of every 1 degree for a user of a specific category under different power outage durations.
Optionally, according to the power failure sample data, generating an average user power failure loss function corresponding to each type of user, including: calculating the total power failure loss and the total peak load of various users under different power failure duration times during the peak load according to the power failure sample data of the various users; aiming at various users, generating an average user power failure loss function according to the ratio of the total power failure loss to the total peak load under different power failure duration times; the average user power failure loss function represents the relationship between the power failure loss of various users and the power failure duration.
In this embodiment, the average user power outage loss function represents a relationship between power outage loss and power outage duration, for example, the average power outage loss per degree when the power outage duration is 1 hour, or the average power outage loss per degree when the power outage duration is 1 minute, and the total power outage loss in the power outage duration is in a direct proportion to the total power outage amount, so that for a same type of users, the total power outage loss of all users in the type of users in the respective power outage duration and the total peak load of the users in the respective power outage duration can be counted. And then determining an average user power failure loss function of various users according to the ratio of the total power failure loss to the total peak load under different power failure duration times.
And S130, generating a comprehensive user power failure loss function according to the average user power failure loss functions corresponding to various users.
In this embodiment, after the average user power outage loss functions corresponding to various users are determined, the average user power outage loss functions of various users may be weighted and summed to generate a comprehensive user power outage loss function. The unit of measurement of the integrated user power outage loss function is element/(kW · h), which represents the average user loss per 1 degree of power outage for any type of user at different power outage durations.
Optionally, generating a comprehensive user power outage loss function according to the average user power outage loss function corresponding to each type of user, including: acquiring power consumption proportion and load rate of various users, and taking the ratio of the power consumption proportion to the load rate as the loss weight of the various users; according to the loss weights of various users, carrying out weighted summation on the average user power failure loss functions corresponding to the various users to generate a comprehensive user power failure loss function; the comprehensive user power failure loss function represents the relation between the user power failure loss and the power failure duration.
In this embodiment, for each type of user, the ratio of the total peak load of the type of user to the total peak load of all types of users may be used as the power consumption proportion of the type of user, the percentage of the ratio of the average load to the maximum load of the type of user in a specified time period may be used as the load rate of the type of user, and the ratio of the power consumption proportion to the load rate may be calculated as the loss weight of the type of user. The power consumption ratio can be understood as the ratio of the users in each degree of electricity provided by the power system, that is, the ratio of the users in each degree of electricity that the power system stops supplying. Because the peak loads of various users are different, the power failure losses under the same power failure duration time are also different, and therefore the loss weight of the users can be adjusted by defining the load rate.
In one possible embodiment, the formula may then be based on
And carrying out weighted summation on the average user power failure loss functions corresponding to various users according to the loss weights of the various users to generate a comprehensive user power failure loss function. Wherein, f ccdf (t) is a function of the power failure loss of the comprehensive users, i represents the ith user, n is the total number of user categories, c i Proportion of electricity consumption for class i users, f scdf (t) is the average subscriber outage loss function for class i subscribers, L i Is the load rate of the i-th class user, then c i /L i Representing the loss weight of class i users.
And S140, calculating the user power failure loss corresponding to the actual power failure data according to the comprehensive user power failure loss function.
In this embodiment, the power outage loss of all users in the specified time period can be calculated according to the actual power outage data in the specified time period and the obtained comprehensive user power outage loss function.
Optionally, calculating the user outage loss corresponding to the actual outage data according to the integrated user outage loss function, including: acquiring the power failure times in a target time period and the load lost during each power failure; aiming at each power failure, calculating the product of the comprehensive user power failure loss function and the power failure loss load to obtain the user power failure loss in unit time; and summing the user power failure losses in unit time corresponding to each power failure to obtain the user power failure loss corresponding to the actual power failure data.
In this embodiment, the formula can be based on
And calculating the average power failure loss of all users per hour in the target time period. Wherein f is oc For the power failure loss of a user, j represents the j th power failure accident, m represents the total number of power failure accidents in the target time period, f ccdf(t) Representing the function of the loss of power of the integrated user, P j The load lost in the j-th power failure is shown.
In this embodiment, the user power outage per hour is calculated by taking one hour as a time unitLoss is to realize more accurate and visual observation of the change trend of the power failure loss. If the total user power failure loss of the jth power failure accident is acquired, the total user power failure loss is multiplied by the power failure duration t of the jth power failure accident j I.e. f ccdf(t) ×P j ×t j Representing the total user power loss of the j-th power failure accident.
In order to reasonably estimate and evaluate the power failure loss of various users in the urban power grid, the embodiment provides a basis for power enterprises in the aspects of improving the reliability level of the urban power grid and investment and decision of optimal configuration of emergency power supplies, and establishes a comprehensive user power failure loss function representing the relation between the power failure loss of the comprehensive user and the power failure duration time on the basis of classified investigation of the economic loss caused by the influence of power failure on various users, and the comprehensive user power failure loss function is used for estimating the comprehensive power failure loss of at least one power failure accident in a target time period.
Optionally, after calculating the power outage loss of the user corresponding to the actual power outage data, the method further includes: calculating a power failure loss evaluation rate index and a single power failure loss index in unit time according to the power failure loss of a user; and selecting and executing a matched load reduction scheme according to the power failure loss evaluation rate index and the single power failure loss index.
In the embodiment, in the actual operation of the power system, when a power failure accident occurs, the power failure loss evaluation rate index and the single power failure loss index in unit time can be calculated according to the power failure loss of a user, and then a necessary load reduction scheme is adopted according to the two indexes so as to suppress the spread of the power failure accident, and meanwhile, a researcher can also make an optimal system reconstruction scheme according to the two indexes so as to reduce the occurrence probability of the accident.
The load reduction is generally used for quantitatively evaluating the scale of the adequacy of the power generation and transmission system, and the scale comprises adequacy indexes and safety indexes which are counted by year. Each load point average value includes 5 indexes such as the number of times of load reduction, the load to be reduced, the amount of power to be reduced, the duration of load reduction, and the number of times of voltage fluctuation overrun.
Optionally, according to the power outage loss of the user, calculating the power outage loss evaluation rate index in unit time and the single power outage loss index, including: taking the ratio of the power failure loss of the user to the total power failure amount in the target time period as the evaluation rate of the power failure loss in unit time; and taking the ratio of the power failure loss of the user to the total power failure times in the target time period as the single power failure loss in unit time.
In one possible embodiment, the formula may be based on
Calculating the power failure loss evaluation rate f in unit time IEAR Wherein, f oc Average power failure loss of all users per hour in a target time period, j represents the j-th power failure accident, m represents the total number of power failure accidents in the target time period, and P j Load, t, representing loss of the jth blackout accident j The power failure duration of the j-th power failure accident.
In one possible embodiment, the formula may be based on
Calculating the single power failure loss f in unit time ICPE Wherein f is oc The average power outage loss of all users per hour in the target time period is m, and the m represents the total number of power outage accidents in the target time period.
According to the technical scheme of the embodiment of the invention, power failure sample data of various users are obtained; generating average user power failure loss functions corresponding to various users according to the power failure sample data; generating a comprehensive user power failure loss function according to the average user power failure loss functions corresponding to various users; the method comprises the steps of calculating the power failure loss of a user corresponding to actual power failure data according to a comprehensive power failure loss function of the user, solving the problem that the power failure loss estimation accuracy is low in the prior art, and achieving rapid and accurate calculation to obtain the power failure loss of the user by generating an average power failure loss function of the user corresponding to various users and the comprehensive power failure loss function of the user.
Example two
Fig. 2 is a schematic structural diagram of a power outage loss determination apparatus according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes: a sample acquisition module 210, an average calculation module 220, a comprehensive calculation module 230 and a power failure loss calculation module 240;
the sample acquisition module 210 is configured to perform acquisition of power failure sample data of various users;
the average calculation module 220 is configured to execute the average user power outage loss function corresponding to each type of user according to the power outage sample data;
the comprehensive calculation module 230 is configured to execute an average user power outage loss function corresponding to each type of user, and generate a comprehensive user power outage loss function;
and a power outage loss calculation module 240 for calculating a user power outage loss corresponding to the actual power outage data according to the integrated user power outage loss function.
According to the technical scheme of the embodiment of the invention, power failure sample data of various users are obtained; generating average user power failure loss functions corresponding to various users according to the power failure sample data; generating a comprehensive user power failure loss function according to the average user power failure loss functions corresponding to various users; the method comprises the steps of calculating the power failure loss of a user corresponding to actual power failure data according to a comprehensive power failure loss function of the user, solving the problem that the power failure loss estimation accuracy is low in the prior art, and achieving rapid and accurate calculation to obtain the power failure loss of the user by generating an average power failure loss function of the user corresponding to various users and the comprehensive power failure loss function of the user.
Optionally, the sample acquiring module 210 is configured to perform: the method comprises the steps of obtaining peak load sample data of various users and power failure loss sample data under different power failure duration times during peak load.
Optionally, the average calculating module 220 is configured to perform:
calculating the total power failure loss and the total peak load of various users under different power failure duration times during the peak load according to the power failure sample data of the various users; aiming at various users, generating an average user power failure loss function according to the ratio of the total power failure loss to the total peak load under different power failure duration times; the average user power failure loss function represents the relationship between the power failure loss of various users and the power failure duration.
Optionally, the comprehensive calculating module 230 is configured to perform:
acquiring power consumption proportion and load rate of various users, and taking the ratio of the power consumption proportion to the load rate as the loss weight of the various users; according to the loss weights of various users, carrying out weighted summation on the average user power failure loss functions corresponding to the various users to generate a comprehensive user power failure loss function; the comprehensive user power failure loss function represents the relationship between the user power failure loss and the power failure duration.
Optionally, the power outage loss calculation module 240 is configured to perform:
acquiring the power failure times in a target time period and the load lost during each power failure; aiming at each power failure, calculating the product of the comprehensive user power failure loss function and the power failure loss load to obtain the user power failure loss in unit time; and summing the user power failure losses in unit time corresponding to each power failure to obtain the user power failure loss corresponding to the actual power failure data.
Optionally, the method further includes: the index calculation module is used for calculating a power failure loss evaluation rate index and a single power failure loss index in unit time according to the power failure loss of the user after calculating the power failure loss of the user corresponding to the actual power failure data; and selecting and executing a matched load reduction scheme according to the power failure loss evaluation rate index and the single power failure loss index.
Optionally, the index calculating module is configured to perform:
taking the ratio of the power failure loss of the user to the total power failure amount in the target time period as the evaluation rate of the power failure loss in unit time; and taking the ratio of the power failure loss of the user to the total power failure times in the target time period as the single power failure loss in unit time.
The power failure loss determination device provided by the embodiment of the invention can execute the power failure loss determination method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
FIG. 3 illustrates a block diagram of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM)12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data required for operation of the electronic device 10 may also be stored. The processor 11, the ROM12, and the RAM13 are connected to each other by a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the loss of power outage determination method.
In some embodiments, the loss of power outage determination method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto electronic device 10 via ROM12 and/or communications unit 19. When loaded into RAM13 and executed by processor 11, may perform one or more of the steps of the loss of power determination method described above. Alternatively, in other embodiments, processor 11 may be configured to perform the loss of power outage determination method by any other suitable means (e.g., by way of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired result of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for determining a loss due to a power outage, comprising:
acquiring power failure sample data of various users;
generating average user power failure loss functions corresponding to various users according to the power failure sample data;
generating a comprehensive user power failure loss function according to the average user power failure loss functions corresponding to various users;
and calculating the user power failure loss corresponding to the actual power failure data according to the comprehensive user power failure loss function.
2. The method according to claim 1, wherein said obtaining power outage sample data of various types of users comprises:
the method comprises the steps of obtaining peak load sample data of various users and power failure loss sample data under different power failure duration times during peak load.
3. The method according to claim 2, wherein said generating an average user power outage loss function corresponding to each type of user according to the power outage sample data comprises:
calculating the total power failure loss and the total peak load of various users under different power failure duration times during peak load according to power failure sample data of various users;
aiming at various users, generating an average user power failure loss function according to the ratio of the total power failure loss to the total peak load under different power failure duration times;
the average user power failure loss function represents the relationship between the power failure loss of various users and the power failure duration.
4. The method of claim 1, wherein generating a comprehensive user outage loss function according to the average user outage loss functions corresponding to the various types of users comprises:
acquiring power consumption proportions and load rates of various users, and taking the ratio of the power consumption proportions to the load rates as loss weights of the various users;
according to the loss weights of various users, carrying out weighted summation on the average user power failure loss functions corresponding to the various users to generate a comprehensive user power failure loss function;
the comprehensive user power failure loss function represents the relationship between the user power failure loss and the power failure duration.
5. The method of claim 1, wherein said calculating a subscriber outage loss corresponding to actual outage data from said integrated subscriber outage loss function comprises:
acquiring the power failure times in a target time period and the load lost during each power failure;
aiming at each power failure, calculating the product of the comprehensive user power failure loss function and the power failure loss load to obtain the user power failure loss in unit time;
and summing the user power failure losses in unit time corresponding to each power failure to obtain the user power failure loss corresponding to the actual power failure data.
6. The method of claim 1, further comprising, after said calculating a loss of user outage corresponding to actual outage data:
calculating a power failure loss evaluation rate index and a single power failure loss index in unit time according to the power failure loss of the user;
and selecting and executing a matched load reduction scheme according to the power failure loss evaluation rate index and the single power failure loss index.
7. The method of claim 6, wherein calculating the power outage loss evaluation rate index per unit time and the single outage loss index based on the user power outage loss comprises:
taking the ratio of the user power failure loss to the total power failure amount in the target time period as the power failure loss evaluation rate in unit time;
and taking the ratio of the user power failure loss to the total power failure times in the target time period as the single power failure loss in unit time.
8. A power outage loss determination apparatus, comprising:
the sample acquisition module is used for acquiring power failure sample data of various users;
the average calculation module is used for generating average user power failure loss functions corresponding to various users according to the power failure sample data;
the comprehensive calculation module is used for executing an average user power failure loss function corresponding to various users to generate a comprehensive user power failure loss function;
and the power failure loss calculation module is used for calculating the power failure loss of the user corresponding to the actual power failure data according to the comprehensive power failure loss function of the user.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the power outage loss determination method of any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the power outage loss determination method of any one of claims 1-7 when executed.
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