CN112085413A - Power quality grade calculation method, terminal equipment and storage medium - Google Patents
Power quality grade calculation method, terminal equipment and storage medium Download PDFInfo
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Abstract
The invention relates to a power quality grade calculation method, a terminal device and a storage medium, wherein the method comprises the following steps: s1: setting evaluation indexes under different grades corresponding to each evaluation parameter; s2: acquiring the probability of each evaluation index in different grades within rated time, and quantifying the preliminary evaluation value; s3: setting at least three weight calculation algorithms, and calculating the corresponding weight of each evaluation parameter through each weight calculation algorithm; s4: calculating the comprehensive weight of the evaluation parameters aiming at the combination of any two weight calculation algorithms; s5: calculating the reliability of the comprehensive weight; s6: and taking the comprehensive weight calculated by two weight calculation algorithms in the combination of the two weight calculation algorithms corresponding to the comprehensive weight with the highest reliability as the weight of each evaluation parameter, and further calculating the power quality grade. The invention adopts a comprehensive weight mode of integrating various weight calculation algorithms, thereby effectively reducing errors caused by weight calculation.
Description
Technical Field
The invention relates to the field of electrical engineering, in particular to a power quality grade calculation method, terminal equipment and a storage medium.
Background
With the development of the electric power market, electric power energy has long been a new variety of goods. Due to the particularity of the electric power commodity and the diversity of the electric power quality indexes, the quality of the electric power commodity is difficult to quantify and evaluate according to certain specifications. The division of the power equipment is more and more precise, and the sensitivity degrees to power interference are different; the electric energy quality indexes are diversified, the loss of the power utilization users caused by the problems of the electric energy quality is different, and the attention degrees of different power utilization users to all the electric energy quality indexes are different. Some user disturbances to electrical energy, such as voltage sags; voltage fluctuation and the like have special requirements, a power utilization end sensitive to an electric energy index is allowed to pay attention to the electric energy index, users have corresponding requirements on the interference indexes and limit value constraints, and some users have high requirements on the overall power supply quality and are allowed to pay attention to the overall grade of the electric energy quality. Most users including residential users and other electricity consumers are actually not willing to pay corresponding fees for interference and disturbed reasons of a certain index, and the users prefer to find a more economical power supply meeting the basic requirements of the users. The power quality evaluation grades are divided, so that the evaluated grades can directly show the quality of the power, different requirements of users can be met only by selecting the grade which best meets the self requirements according to different quality levels, and the power quality needs to be comprehensively evaluated. The comprehensive evaluation research on the electric energy quality can effectively help power supply enterprises to establish a certain index which still needs to be improved, so that the overall level is improved, and better electric energy is provided; and the electric power can be priced according to the quality, and the electric energy quality evaluation is the most important ring for the user to select the proper self demand.
Disclosure of Invention
In order to solve the above problems, the present invention provides a power quality level calculation method, a terminal device, and a storage medium.
The specific scheme is as follows:
a power quality grade calculation method comprises the following steps:
s1: setting evaluation indexes under different grades corresponding to each evaluation parameter;
s2: acquiring the existence probability of each evaluation index under different grades in rated time, and quantizing the preliminary evaluation value G of each evaluation parameter according to the following formula:
wherein, tijThe probability of the corresponding jth grade evaluation index of the evaluation parameter in the ith sampling data is represented, i represents the sampling frequency in the rated time, and j represents the number of grades;
s3: setting at least three weight calculation algorithms, and calculating the corresponding weight of each evaluation parameter through each weight calculation algorithm;
s4: for each evaluation parameter, calculating the comprehensive weight b of the evaluation parameter for any two weight calculation algorithm combinations according to the following formulak；
Wherein, wk、vkRespectively representing weights calculated by evaluation parameters according to a first weight calculation algorithm or a second weight calculation algorithm in a kth two-weight calculation algorithm combination, wherein N represents the number of any two-weight calculation algorithm combinations which can be formed by all weight calculation algorithms, and k represents the serial number of each combination in all the two-weight calculation algorithm combinations;
s5: calculating the reliability R of each comprehensive weight corresponding to each evaluation parameter according to all the comprehensive weights corresponding to each evaluation parameter:
wherein M represents the number of evaluation parameters, l represents the number of evaluation parameters, wlAnd vlRespectively representing the weights calculated by the first evaluation parameter according to the first weight calculation algorithm or the second weight calculation algorithm in the combination of the two weight calculation algorithms;
s6: and taking the comprehensive weight calculated by two weight calculation algorithms in the combination of the two weight calculation algorithms corresponding to the comprehensive weight with the highest reliability as the weight of each evaluation parameter, and further calculating the power quality grade.
Furthermore, when each evaluation index collected in the rated time is continuously unqualified, the rated time for collection is prolonged.
Further, the weight calculation algorithm set in step S3 includes a coefficient of variation method, an entropy weight method, and a vector similarity method.
Further, the evaluation parameters include voltage offset, harmonic content, long-term flicker, unbalance and frequency deviation.
Further, the grades include 5 grades, corresponding to fail, pass, medium, good and excellent, respectively.
A power quality class computing terminal device comprises a processor, a memory and a computer program stored in the memory and operable on the processor, wherein the processor executes the computer program to implement the steps of the method of the embodiment of the invention.
A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method as described above for an embodiment of the invention.
According to the technical scheme, the grade of the power quality of the power grid node is calculated based on historical data, a comprehensive weight mode of integrating multiple weight calculation algorithms is adopted in the weight calculation aiming at each evaluation parameter, one of multiple comprehensive weights with the highest reliability is selected for final result calculation, and errors caused by weight calculation can be effectively reduced.
Drawings
Fig. 1 is a flowchart illustrating a first embodiment of the present invention.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
the embodiment of the invention provides a power quality grade calculation method, as shown in fig. 1, the method comprises the following steps:
s1: and setting evaluation indexes under different grades corresponding to the evaluation parameters.
In this embodiment, the evaluation parameters are set to five types, which are respectively: voltage deviation, harmonic content, long-time flicker, unbalance and frequency deviation, wherein each evaluation parameter is divided into 5-grade evaluation indexes according to national standards, and the evaluation indexes are respectively corresponding to 5 evaluation opinions of disqualification, qualification, medium, good and excellence from big to small. Specific numerical values are shown in table 1.
TABLE 1
S2: acquiring the existence probability of each evaluation index under different grades in rated time, and quantizing the preliminary evaluation value G of each evaluation parameter according to the following formula:
wherein, tijAnd the probability of the corresponding jth grade evaluation index of the evaluation parameter in the ith sampling data is shown, i represents the sampling frequency in the rated time, and j represents the number of grades.
And when each evaluation index acquired within the rated time is continuously unqualified, prolonging the rated time for acquisition.
S3: and setting at least three weight calculation algorithms, and calculating the corresponding weight of each evaluation parameter through each weight calculation algorithm.
In this embodiment, three weight calculation algorithms are set, which are a coefficient of variation method, an entropy weight method, and a vector similarity method, respectively, and in other embodiments, other weight calculation algorithms may be set as needed, which is not limited herein.
S4: for each evaluation parameter, calculating the comprehensive weight b of the evaluation parameter for any two weight calculation algorithm combinations according to the following formulak；
Wherein, wk、vkAnd the evaluation parameters respectively represent weights calculated by the first weight calculation algorithm or the second weight calculation algorithm in the kth two-weight calculation algorithm combination, N represents the number of any two-weight calculation algorithm combinations which can be formed by all the weight calculation algorithms, and k represents the serial number of each combination in all the two-weight calculation algorithm combinations.
S5: calculating the reliability R of each comprehensive weight corresponding to each evaluation parameter according to all the comprehensive weights corresponding to each evaluation parameter:
wherein M represents the number of evaluation parameters, l represents the number of evaluation parameters, wlAnd vlRespectively representing the weights calculated by the first weight calculation algorithm or the second weight calculation algorithm in the combination of the two weight calculation algorithms of the ith evaluation parameter.
The larger the credibility R is, the more consistent the distribution of the two weights calculated by the two weight calculation algorithms corresponding to the comprehensive weights is, and the higher the estimated credibility is; the smaller the reliability R is, the more inconsistent the distribution of the two weights calculated by the two weight calculation algorithms corresponding to the comprehensive weight is, and the lower the reliability of the evaluation is.
S6: and taking the comprehensive weight calculated by the two weight calculation algorithms in the combination of the two weight calculation algorithms corresponding to the comprehensive weight with the highest reliability as the weight of each evaluation parameter, and further calculating the electric energy grade.
In the final quantitative evaluation, one of the three comprehensive weights with the highest reliability is selected for final result calculation, so that errors caused by weight calculation can be effectively reduced.
Example two:
the invention further provides a power quality grade calculation terminal device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the method embodiment of the first embodiment of the invention.
Further, as an executable solution, the power quality class computing terminal device may be a desktop computer, a cloud server, or other computing devices. The power quality grade calculation terminal device can comprise, but is not limited to, a processor and a memory. It will be understood by those skilled in the art that the above-mentioned configuration of the power quality class computing terminal device is only an example of the power quality class computing terminal device, and does not constitute a limitation on the power quality class computing terminal device, and may include more or less components than the above, or combine some components, or different components, for example, the power quality class computing terminal device may further include an input/output device, a network access device, a bus, and the like, which is not limited by the embodiment of the present invention.
Further, as an executable solution, the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor is a control center of the power quality class calculation terminal device, and various interfaces and lines are used to connect various parts of the entire power quality class calculation terminal device.
The memory may be configured to store the computer program and/or module, and the processor may implement various functions of the power quality class computing terminal device by executing or executing the computer program and/or module stored in the memory and calling data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The invention also provides a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method of an embodiment of the invention.
The integrated module/unit of the power quality class calculation terminal device may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), software distribution medium, and the like.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. A power quality grade calculation method is characterized by comprising the following steps:
s1: setting evaluation indexes under different grades corresponding to each evaluation parameter;
s2: acquiring the existence probability of each evaluation index under different grades in rated time, and quantizing the preliminary evaluation value G of each evaluation parameter according to the following formula:
wherein, tijThe probability of the corresponding jth grade evaluation index of the evaluation parameter in the ith sampling data is represented, i represents the sampling frequency in the rated time, and j represents the number of grades;
s3: setting at least three weight calculation algorithms, and calculating the corresponding weight of each evaluation parameter through each weight calculation algorithm;
s4: for each evaluation parameter, calculating the comprehensive weight b of the evaluation parameter for any two weight calculation algorithm combinations according to the following formulak；
Wherein, wk、vkRespectively representing two evaluation parameters according to kWeights obtained by calculation of a first weight calculation algorithm or a second weight calculation algorithm in the weight calculation algorithm combination are obtained, N represents the number of any two weight calculation algorithm combinations which can be formed by all the weight calculation algorithms, and k represents the serial number of each combination in all the two weight calculation algorithm combinations;
s5: calculating the reliability R of each comprehensive weight corresponding to each evaluation parameter according to all the comprehensive weights corresponding to each evaluation parameter:
wherein M represents the number of evaluation parameters, l represents the number of evaluation parameters, wlAnd vlRespectively representing the weights calculated by the first evaluation parameter according to the first weight calculation algorithm or the second weight calculation algorithm in the combination of the two weight calculation algorithms;
s6: and taking the comprehensive weight calculated by two weight calculation algorithms in the combination of the two weight calculation algorithms corresponding to the comprehensive weight with the highest reliability as the weight of each evaluation parameter, and further calculating the power quality grade.
2. The power quality class calculation method according to claim 1, wherein: and when each evaluation index acquired within the rated time is continuously unqualified, prolonging the rated time for acquisition.
3. The power quality class calculation method according to claim 2, wherein: the weight calculation algorithm set in step S3 includes a coefficient of variation method, an entropy weight method, and a vector similarity method.
4. The power quality class calculation method according to claim 1, wherein: the evaluation parameters include voltage offset, harmonic content, long-term flicker, unbalance and frequency deviation.
5. The power quality class calculation method according to claim 1, wherein: the grades include 5 grades, corresponding to fail, pass, medium, good and excellent, respectively.
6. A power quality grade computing terminal device is characterized in that: comprising a processor, a memory and a computer program stored in the memory and running on the processor, the processor implementing the steps of the method according to any of claims 1 to 5 when executing the computer program.
7. A computer-readable storage medium storing a computer program, characterized in that: the computer program when executed by a processor implementing the steps of the method as claimed in any one of claims 1 to 5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113395286A (en) * | 2021-06-17 | 2021-09-14 | 国网信通亿力科技有限责任公司 | Sensitive data multidimensional encryption processing method |
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| US20050114057A1 (en) * | 2003-11-05 | 2005-05-26 | Curtis Larry E. | Method for power quality summary and trending |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113395286A (en) * | 2021-06-17 | 2021-09-14 | 国网信通亿力科技有限责任公司 | Sensitive data multidimensional encryption processing method |
| CN113395286B (en) * | 2021-06-17 | 2023-03-24 | 国网信通亿力科技有限责任公司 | Sensitive data multidimensional encryption processing method |
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