CN115169990A - Electric power comprehensive intelligent energy service management system based on user side - Google Patents
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Abstract
The invention discloses a user side-based electric power comprehensive intelligent energy service management system, which belongs to the field of electric power and is used for solving the problems that the current electric power energy utilization mode of a user side tends to diversification, the demand of an energy utilization service function is diversified, and a corresponding energy service management method cannot be set.
Description
Technical Field
The invention belongs to the field of electric power, relates to an electric power service management technology, and particularly relates to an electric power comprehensive intelligent energy service management system based on a user side.
Background
Electric power is energy taking electric energy as power, and discovery and application of the electric power raise the second industrialized climax, are one of three scientific and technological revolution in the world, and change the life of people. At present, a large-scale power system is one of the most important achievements in the history of human engineering science, and is a power generation and consumption system which consists of links of power generation, power transmission, power transformation, power distribution, power utilization and the like. It converts the primary energy of nature into electric power through mechanical energy devices, and then supplies the electric power to each user through power transmission, transformation and distribution.
At present, as the power utilization modes of users tend to be diversified, the requirements of power utilization service functions are diversified, personalized and differentiated, and the management and control measures and the management and control force of the user side are different, how to set a matched energy service management method based on mass data of the user side is the next difficult problem, and therefore, a power comprehensive intelligent energy service management system based on the user side is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a power comprehensive intelligent energy service management system based on a user side.
The technical problem to be solved by the invention is as follows:
how to set a matched power energy service management method for a user side based on multi-source data.
The purpose of the invention can be realized by the following technical scheme:
an electric power comprehensive intelligent energy service management system based on a user side comprises:
the region division module is used for dividing the administered electric power range, dividing the electric power range to obtain a plurality of electric power regions and sending the electric power regions to the comprehensive intelligent energy service platform;
the system comprises a data acquisition module, a comprehensive intelligent energy service platform and a user analysis module, wherein the data acquisition module is used for acquiring user data in an electric power area and sending the user data to the comprehensive intelligent energy service platform;
the system comprises a user analysis module, a comprehensive intelligent energy service platform and a control setting module, wherein the user analysis module is used for analyzing the user condition in the electric power area, obtaining a user control coefficient of the electric power area and feeding the user control coefficient back to the comprehensive intelligent energy service platform, and the comprehensive intelligent energy service platform sends the user control coefficient of the electric power area to the control setting module;
the storage module is used for storing power maintenance data of the power area and sending the power maintenance data to the history monitoring module;
the history monitoring module is used for monitoring the electric power condition in the electric power area, obtaining an electric power control coefficient of the electric power area and feeding the electric power control coefficient back to the comprehensive intelligent energy service platform, and the comprehensive intelligent energy service platform sends the electric power control coefficient of the electric power area to the control setting module;
the comprehensive intelligent energy service platform is used for sending the preset control level of electric power control to the service allocation module;
and the service allocation module is used for allocating the management and control level of the power area.
Further, the user data are the user types in the power area, the user amount corresponding to the user types, and the monthly power consumption of each user in the user types;
the power maintenance data comprise the power failure times, the failure time of each power failure and the maintenance duration in the power region;
the power violation data is the number of occurrences of a power violation within the power domain.
Further, the analysis process of the user analysis module is specifically as follows:
acquiring a user type in the power area and a user amount corresponding to the user type;
adding and summing the user quantities of different user types to obtain the total user quantity of the power area, and comparing the user quantities of different user types with the total user quantity to obtain user ratios of different user types, namely a first industry user ratio, a second industry user ratio, a third industry user ratio and an urban and rural resident user ratio;
comparing the user occupation ratios of different user types in the electric power area, and calibrating the electric power area by combining the maximum value of the user occupation ratios to obtain the electric power areas of different types;
the different types of power areas correspond to different user management and control coefficients.
Further, the user types include a first industry user, a second industry user, a third industry user, and a town and country resident user.
Further, the monitoring process of the history monitoring module is specifically as follows:
acquiring the power failure frequency of a power area, the failure time of each power failure and the maintenance duration;
calculating the fault interval duration of two adjacent power faults in the power region, adding the fault interval durations of the two adjacent power faults, and taking the average value to obtain the fault interval average duration of the power region;
adding and summing the maintenance time length of each power failure and dividing the sum by the number of power failures to obtain the maintenance average time length when the power failure occurs in the power region;
distributing corresponding weight coefficients for the power failure times, the failure interval average time length and the maintenance average time length respectively, and calculating a power failure value of a power region;
and obtaining a corresponding electric power control coefficient according to the electric power fault value.
Further, the setting process of the management and control setting module is specifically as follows:
acquiring a user control coefficient and an electric power control coefficient, and calculating a control value of an electric power area;
if the control value is in a first control interval, the preset control level of the electric power area is a first control level;
if the control value is in a second control interval, the preset control level of the power area is a second control level;
and if the control value is in the second control interval, the preset control level of the power area is a third control level.
Further, the level of the first control level is higher than that of the second control level, and the level of the second control level is higher than that of the third control level.
Further, the working process of the service deployment module is specifically as follows:
acquiring an actual control grade and a preset control grade of an electric power area;
if the actual control level and the preset control level are not in the same control level, generating a control adjustment signal;
and if the actual control level and the preset control level are in the same control level, generating a normal control signal.
Further, the service deployment module feeds back a control adjustment signal or a control normal signal to the comprehensive intelligent energy service platform;
if the comprehensive intelligent energy service platform receives the normal control signal, no operation is performed;
and if the comprehensive intelligent energy service platform receives the control and allocation module, allocating the control level of the electric power area to a preset control level.
Compared with the prior art, the invention has the beneficial effects that:
the power range is divided into a plurality of power areas by the area dividing module, the user analysis module analyzes the user condition in the power area to obtain the user control coefficient of the power area, meanwhile, the history monitoring module monitors the power condition in the power area to obtain the power control coefficient of the power area, the user control coefficient and the power control coefficient of the power area are sent to the control setting module, the control setting module is used for setting the control strength of the power area, the preset control grade of the power area is obtained and sent to the service allocating module, and the service allocating module allocates the control grade of the power area.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention;
fig. 2 is a block diagram of another system of the present invention.
Detailed Description
Under the background of the current progress of implementing a double-carbon target and constructing a novel power system taking new energy as a main body, the development of comprehensive energy service becomes an important measure for improving the energy utilization efficiency, reducing the energy consumption cost and promoting the green and low-carbon development of an energy system. The comprehensive energy service has huge market potential, numerous participating main bodies and various business modes, promotes efficient butt joint of various main bodies in a platform mode, promotes an actual physical system and digital value to create organic links, realizes online and offline fusion and development, and becomes an important direction for high-quality development of the comprehensive energy service.
However, the energy utilization modes of users tend to be diversified, and the requirements of the energy utilization service functions are diversified, personalized and differentiated. Therefore, how to utilize the mass energy data of the user side, deeply analyze and mine the internal value of the user, and formulate the value-added service meeting the user requirements has important significance for improving the enterprise competitiveness and expanding the user market.
The invention takes a demand side as a leading factor, and by constructing a comprehensive intelligent energy service platform, an elastically extensible technical framework is researched, energy utilization data of each link of production, consumption and transaction of a user side are gathered, multidimensional deep analysis is carried out on the data, technologies such as multi-type user energy utilization data analysis, park multi-energy collaborative optimization, internet of things platform construction and the like are researched, relevant regional trial-point demonstration application is created, and a group company is assisted to transfer to a comprehensive energy service provider.
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
In an embodiment, please refer to fig. 1, the present invention provides a power comprehensive intelligent energy service management system based on a user side, which includes a data acquisition module, a service deployment module, a user analysis module, a control setting module, a storage module, a history monitoring module, and a region division module;
the system comprises a region division module, a data acquisition module, a comprehensive intelligent energy service platform and a user analysis module, wherein the region division module is used for dividing the administered electric power range to obtain a plurality of electric power regions, the region division module is used for sending the plurality of electric power regions to the comprehensive intelligent energy service platform, the data acquisition module is used for acquiring user data in the electric power regions and sending the user data to the comprehensive intelligent energy service platform, and the comprehensive intelligent energy service platform sends the user data to the user analysis module;
specifically, the user data are the user types in the power area, the user amounts corresponding to the user types, the monthly power consumption of each user in the user types, and the like, and in specific implementation, the data acquisition module can be used for power equipment for counting the user amounts and the monthly power consumption of the users;
the user analysis module is used for analyzing the user condition in the power area, and the analysis process specifically comprises the following steps:
acquiring a user type in the power area and a user amount corresponding to the user type; the user types comprise a first industry user, a second industry user, a third industry user and urban and rural resident users;
adding and summing the user quantities of different user types to obtain the total user quantity of the power area, and comparing the user quantities of different user types with the total user quantity to obtain user ratios of different user types, namely a first industry user ratio, a second industry user ratio, a third industry user ratio and an urban and rural resident user ratio;
comparing the user proportion of different user types in the electric power area, and calibrating the electric power area by combining the maximum value of the user proportion to obtain the electric power areas of different types, namely: if the first industrial user occupation ratio in the electric power area is the maximum value, the electric power area is the first industrial electric power area, and the like;
the different types of power areas correspond to different user management and control coefficients, which are as follows:
if the first industry power area exists, the user management and control coefficient of the power area is alpha 2;
if the second industry power area exists, the user management and control coefficient of the power area is alpha 4;
if the third industrial power area exists, the user management and control coefficient of the power area is alpha 3;
if the urban and rural resident power area exists, the user management and control coefficient of the power area is alpha 1;
in specific implementation, the values of the user management and control coefficients are respectively as follows: alpha 1 is more than 0 and more than alpha 2 and more than alpha 3 and more than alpha 4;
the user analysis module feeds back a user control coefficient of the electric power region to the comprehensive intelligent energy service platform, and the comprehensive intelligent energy service platform sends the user control coefficient of the electric power region to the control setting module;
the historical monitoring module is connected with a storage module, and the storage module is used for storing power maintenance data of a power area and sending the power maintenance data to the historical monitoring module;
specifically, the power maintenance data includes the number of power failures in the power domain, the failure time of each power failure, and the maintenance duration;
the history monitoring module is used for monitoring the power condition in the power area, and the monitoring process specifically comprises the following steps:
acquiring the power failure times of a power area, the failure time of each power failure and the maintenance time length;
calculating the fault interval duration of two adjacent power faults in the power region, and adding and averaging the fault interval durations of the two adjacent power faults to obtain the fault interval average duration of the power region;
adding and summing the maintenance time length of each power failure and dividing the sum by the number of power failures to obtain the maintenance average time length when the power failure occurs in the power region;
distributing corresponding weight coefficients for the power failure times, the failure interval average time length and the maintenance average time length respectively, and calculating by using a formula to obtain a power failure value of a power region, wherein the formula is as follows:
a power failure value = (the number of power failures × weight coefficient β 1+ maintenance mean time length × weight coefficient β 2)/(failure interval mean time length × weight coefficient β 3);
obtaining a power management and control coefficient corresponding to the power region according to the power failure value, for example:
if the power failure value belongs to [0, 50), the power management and control coefficient is 1.1, and if the power failure value belongs to [50, 100), the power management and control coefficient is 3.2;
the history monitoring module feeds back the electric power control coefficient of the electric power area to the comprehensive intelligent energy service platform, and the comprehensive intelligent energy service platform sends the electric power control coefficient of the electric power area to the control setting module; the control setting module is used for setting the control strength of the electric power region, and the setting process is as follows:
obtaining a user control coefficient and a power control coefficient obtained by the calculation;
the control value of the power area is obtained through formula calculation, and the formula is as follows:
the control value = user control coefficient weight coefficient δ 1+ power control coefficient weight coefficient δ 2;
if the control value is in a first control interval, the preset control level of the electric power area is a first control level;
if the control value is in a second control interval, the preset control level of the power area is a second control level;
if the control value is in the second control interval, the preset control level of the power area is a third control level;
the level of the first control level is higher than that of the second control level, and the level of the second control level is higher than that of the third control level;
for example, the first control interval may be (100, ∞), the second control interval may be (10, 100), and the first control interval may be [0, 10];
management and control setting module feeds back the control level of predetermineeing in electric power region to synthesizing wisdom energy service platform, synthesize wisdom energy service platform and send the control level of predetermineeing of electric power management and control to service deployment module, service deployment module is used for deploying the control level in electric power region, specifically as follows:
acquiring an actual control grade and a preset control grade of an electric power area;
if the actual control level and the preset control level are not in the same control level, generating a control adjustment signal;
if the actual control level and the preset control level are in the same control level, generating a normal control signal;
the service allocation module feeds back a control adjustment signal or a control normal signal to the comprehensive intelligent energy service platform;
if the comprehensive intelligent energy service platform receives the normal control signal, no operation is performed;
if the comprehensive intelligent energy service platform receives the control and allocation module, allocating the control level of the electric power area to a preset control level;
in specific implementation, different control levels correspond to different control degrees, that is, the higher the control level is, the larger the control degree is, and specific control measures are not described herein.
In another embodiment, please refer to fig. 2, the power-integrated intelligent energy management system further includes a service monitoring module; the server obtains the control strength of the electric power area according to the actual control level and sends the control strength to the service monitoring module;
the control strength comprises a preset maintenance waiting time and a preset service evaluation value, wherein the control strength of a first control level is a first preset maintenance waiting time and a first preset service evaluation value, the control strength of a second control level is a second preset maintenance waiting time and a second preset service evaluation value, and the control strength of a third control level is a third preset maintenance waiting time and a third preset service evaluation value;
understandably, a first preset maintenance waiting time of a first control level is shorter than a first preset maintenance waiting time of a second control level, a second preset maintenance waiting time of the second control level is shorter than a third maintenance waiting time of a third control level, a first preset service evaluation score of the first control level is larger than a second preset service evaluation score of the second control level, and a second preset service evaluation score of the second control level is larger than a third preset service evaluation score of the third control level;
in this embodiment, the data acquisition module is further configured to acquire service data of the power area and send the service data to the service monitoring module;
specifically, the service data includes maintenance waiting time, service evaluation score and the like of each power failure in the power region at an actual management and control level, wherein the maintenance waiting time is obtained by subtracting the failure starting time of each failure from the maintenance starting time of each failure, and the service evaluation score of each failure is obtained by scoring on an App provided by a maintainer by a user;
the service monitoring module is used for monitoring the service condition of the power region, and the monitoring process specifically comprises the following steps:
obtaining maintenance waiting time and service evaluation value of each power failure in a power region;
adding the maintenance waiting time lengths in each power failure and averaging to obtain the maintenance waiting average time length in the power failure of the power region, and similarly, evaluating the service average value in the power failure of the power region;
obtaining control strength corresponding to the electric power region according to the control grade, namely preset maintenance waiting time and preset service evaluation values;
if the maintenance waiting time length is less than or equal to the preset maintenance waiting time length or the service evaluation average value is greater than or equal to the preset service evaluation value, no operation is performed,
if the maintenance waiting average time length is longer than the preset maintenance waiting time length or the service evaluation average value is smaller than the preset service evaluation value, subtracting the preset maintenance waiting time length from the maintenance waiting average time length to obtain a maintenance waiting time length difference value when the power region fails, and subtracting the service evaluation average value from the preset service evaluation value to obtain a service evaluation score difference value when the power region fails;
distributing corresponding weight coefficients for the maintenance waiting time length difference value and the service evaluation score difference value respectively, and calculating to obtain a service deviation value when the power failure occurs in the power region;
obtaining a service management and control coefficient corresponding to the power region according to the service deviation value, for example:
if the service deviation value is e [0, 10), the service management and control coefficient is 2, if the service deviation value is e [10, 20), the service management and control coefficient is 3, if the service deviation value is e [20, ∞ ], the service management and control coefficient is 4;
the service monitoring module feeds back the service control coefficient of the electric power region to the server, the server sends the service control coefficient of the electric power region to the control setting module, and the control setting module increases the service control coefficient on the basis of the user control coefficient and the electric power control coefficient, so that the control value of the electric power region is calculated, and the calculation process specifically refers to the setting process of the control setting module.
The above formulas are all dimensionless values and calculated, the formula is a formula for obtaining the latest real situation by collecting a large amount of data and performing software simulation, the preset parameters in the formula are set by the technical personnel in the field according to the actual situation, the weight coefficient and the scale coefficient are specific values obtained by quantifying each parameter, so that the subsequent comparison is convenient, and the proportional relation between the parameters and the quantified values can be obtained as long as the proportional relation between the parameters and the quantified values is not influenced.
In another embodiment, an operating method of a power integrated intelligent energy service management system based on a user side is provided, which includes:
step S101, a region dividing module divides the administered electric power range to obtain a plurality of electric power regions, the electric power regions are divided and sent to a comprehensive intelligent energy service platform, a data acquisition module acquires user data in the electric power regions and sends the user data to the comprehensive intelligent energy service platform, and the comprehensive intelligent energy service platform sends the user data to a user analysis module;
analyzing the user condition in the power area through a user analysis module to obtain the user types in the power area and the user amounts corresponding to the user types, adding and summing the user amounts of different user types to obtain the total user amount of the power area, comparing the user amounts of different user types with the total user amount to obtain user ratios of different user types, comparing the user ratios of different user types in the power area with each other, calibrating the power area by combining the maximum value of the user ratios to obtain power areas of different types, wherein the power areas of different types correspond to different user control coefficients, feeding the user control coefficients of the power area back to a comprehensive intelligent energy service platform through the user analysis module, and sending the user control coefficients of the power area to a control setting module through the comprehensive intelligent energy service platform;
the storage module stores power maintenance data of a power region, the power maintenance data are sent to the history monitoring module, the power condition in the power region is monitored through the history monitoring module, the power failure times of the power region, the failure time and the maintenance time of each power failure are obtained, the failure interval time of two adjacent power failures in the power region is calculated, the failure interval time of the two adjacent power failures is added, summed and averaged to obtain the failure interval average time of the power region, the maintenance time of each power failure is added, summed and divided by the power failure times to obtain the maintenance average time of the power region when the power failure occurs, corresponding weight coefficients are distributed to the power failure times, the failure interval average time and the maintenance average time respectively, the power failure values of the power region are calculated through a formula, corresponding power management and control coefficients are obtained according to the power failure values, the history monitoring module feeds the power management and control coefficients of the power region back to the comprehensive energy service platform, and the comprehensive energy service platform sends the power management and control coefficients of the power region to the management and control setting module;
the method comprises the steps that a server obtains management and control strength of a power region according to actual management and control grades and sends the management and control strength to a service monitoring module, a data acquisition module further acquires service data of the power region and sends the service data to the service monitoring module, service conditions of the power region are monitored through the service monitoring module, maintenance waiting time and service evaluation values of the power region at each power failure are obtained, maintenance waiting time averaging time at each power failure is obtained by adding and averaging the maintenance waiting time at each power failure, similarly, service evaluation averaging values at the power failure of the power region are obtained according to the management and control grades, if the maintenance waiting averaging time is less than or equal to the preset maintenance waiting time, or the service evaluation averaging values are greater than or equal to the preset service evaluation values, no operation is carried out, if the maintenance waiting averaging time is greater than the preset maintenance waiting time, or the service evaluation averaging values are less than the preset service evaluation values, then the maintenance waiting time difference at the power failure of the power region is obtained by subtracting the preset maintenance waiting time, the preset service evaluation averaging values are obtained, the service evaluation difference values are respectively used, the service evaluation difference values are sent to the service monitoring module, and a service evaluation coefficient is fed back to the management and control module, and the management and control coefficient is calculated;
the control setting module sets the control strength of the electric power area, obtains the user control coefficient, the electric power control coefficient and the service control coefficient through calculation, obtains a control value of the electric power area through formula calculation, if the control value is in a first control interval, the preset control level of the electric power area is a first control level, if the control value is in a second control interval, the preset control level of the electric power area is a second control level, if the control value is in the second control interval, the preset control level of the electric power area is a third control level, the control setting module feeds the preset control level of the electric power area back to the comprehensive intelligent energy service platform, and the comprehensive intelligent energy service platform sends the preset control level of the electric power control to the service deployment module;
the management and control level of the electric power area is allocated through the service allocation module, the actual management and control level and the preset management and control level of the electric power area are obtained, if the actual management and control level and the preset management and control level are not in the same management and control level, a management and control adjusting signal is generated, if the actual management and control level and the preset management and control level are in the same management and control level, a management and control normal signal is generated, the management and control adjusting signal or the management and control normal signal is fed back to the comprehensive intelligent energy service platform through the service allocation module, if the comprehensive intelligent energy service platform receives the management and control normal signal, no operation is performed, and if the comprehensive intelligent energy service platform receives the management and control allocation module, the management and control level of the electric power area is allocated to the preset management and control level.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. The utility model provides an electric power synthesis wisdom energy service management system based on user side which characterized in that includes:
the region division module is used for dividing the administered electric power range, dividing the electric power range to obtain a plurality of electric power regions and sending the electric power regions to the comprehensive intelligent energy service platform;
the system comprises a data acquisition module, a comprehensive intelligent energy service platform and a user analysis module, wherein the data acquisition module is used for acquiring user data in an electric power area and sending the user data to the comprehensive intelligent energy service platform;
the user analysis module is used for analyzing the user condition in the electric power area, obtaining a user control coefficient of the electric power area and feeding the user control coefficient back to the comprehensive intelligent energy service platform, and the comprehensive intelligent energy service platform sends the user control coefficient of the electric power area to the control setting module;
the storage module is used for storing power maintenance data of the power area and sending the power maintenance data to the history monitoring module;
the history monitoring module is used for monitoring the electric power condition in the electric power area, obtaining an electric power control coefficient of the electric power area and feeding the electric power control coefficient back to the comprehensive intelligent energy service platform, and the comprehensive intelligent energy service platform sends the electric power control coefficient of the electric power area to the control setting module;
the comprehensive intelligent energy service platform is used for sending the preset control level of electric power control to the service allocation module;
and the service allocation module is used for allocating the management and control level of the power area.
2. The system according to claim 1, wherein the user data includes a user type in the power domain and a user amount corresponding to the user type, and a monthly power consumption of each user in the user type;
the power maintenance data comprise the power failure times, the failure time of each power failure and the maintenance duration in the power region;
the power violation data is the number of occurrences of a power violation within the power domain.
3. The system according to claim 1, wherein the analysis process of the user analysis module is as follows:
acquiring a user type in the power area and a user amount corresponding to the user type;
adding and summing the user quantities of different user types to obtain the total user quantity of the power area, and comparing the user quantities of different user types with the total user quantity to obtain user ratios of different user types, namely a first industry user ratio, a second industry user ratio, a third industry user ratio and an urban and rural resident user ratio;
comparing the user proportion of different user types in the power area, and calibrating the power area by combining the maximum value of the user proportion to obtain different types of power areas;
the different types of power areas correspond to different user management and control coefficients.
4. The system according to claim 3, wherein the user types include a first industrial user, a second industrial user, a third industrial user, and a city and countryside resident user.
5. The system according to claim 1, wherein the monitoring process of the history monitoring module is as follows:
acquiring the power failure times of a power area, the failure time of each power failure and the maintenance time length;
calculating the fault interval duration of two adjacent power faults in the power region, and adding and averaging the fault interval durations of the two adjacent power faults to obtain the fault interval average duration of the power region;
adding and summing the maintenance time length of each power failure and dividing the sum by the number of power failures to obtain the maintenance average time length when the power failure occurs in the power region;
distributing corresponding weight coefficients for the power failure times, the failure interval average time length and the maintenance average time length respectively, and calculating a power failure value of a power region;
and obtaining a corresponding electric power control coefficient according to the electric power fault value.
6. The system according to claim 1, wherein the setting process of the management and control setting module is as follows:
acquiring a user control coefficient and an electric power control coefficient, and calculating a control value of an electric power area;
if the control value is in a first control interval, the preset control level of the electric power area is a first control level;
if the control value is in a second control interval, the preset control level of the power area is a second control level;
and if the control value is in the second control interval, the preset control level of the power area is a third control level.
7. The system according to claim 6, wherein the first control level is higher than the second control level, and the second control level is higher than the third control level.
8. The system according to claim 1, wherein the service deployment module is configured to operate as follows:
acquiring an actual control grade and a preset control grade of an electric power area;
if the actual control level and the preset control level are not in the same control level, generating a control adjustment signal;
and if the actual control level and the preset control level are in the same control level, generating a control normal signal.
9. The system according to claim 8, wherein the service deployment module feeds back a management and control adjustment signal or a management and control normal signal to the integrated intelligent energy service platform;
if the comprehensive intelligent energy service platform receives the normal control signal, no operation is performed;
and if the comprehensive intelligent energy service platform receives the control and allocation module, allocating the control level of the electric power area to a preset control level.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115378141A (en) * | 2022-10-18 | 2022-11-22 | 华能辛店发电有限公司 | Power cable fault diagnosis and early warning system and method based on data analysis |
| CN115441591A (en) * | 2022-11-08 | 2022-12-06 | 江苏安世朗智能科技有限公司 | Intelligent remote monitoring power consumption management system based on communication network |
| CN115437301A (en) * | 2022-10-14 | 2022-12-06 | 淄博瀚泓环保科技有限公司 | Working state monitoring and control system of water treatment unit |
| CN115936492A (en) * | 2022-11-24 | 2023-04-07 | 双阳化工淮安有限公司 | Chemical production exhaust emission automatic monitoring system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110175788A (en) * | 2019-05-31 | 2019-08-27 | 国网上海市电力公司 | A kind of smart city energy cloud platform |
| CN113765131A (en) * | 2021-11-10 | 2021-12-07 | 深圳市今朝时代股份有限公司 | Distributed energy storage system and method based on super capacitor |
| CN113904448A (en) * | 2021-10-26 | 2022-01-07 | 珠海康晋电气股份有限公司 | Intelligent power distribution operation and maintenance service system based on multi-dimensional monitoring |
| CN114580938A (en) * | 2022-03-11 | 2022-06-03 | 国网山东省电力公司菏泽供电公司 | Comprehensive power distribution effect evaluation method with multiple data dimensions |
| CN114598030A (en) * | 2021-08-30 | 2022-06-07 | 河南城建学院 | New energy power generation power management and control system based on regional power grid |
-
2022
- 2022-09-02 CN CN202211068673.1A patent/CN115169990A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110175788A (en) * | 2019-05-31 | 2019-08-27 | 国网上海市电力公司 | A kind of smart city energy cloud platform |
| CN114598030A (en) * | 2021-08-30 | 2022-06-07 | 河南城建学院 | New energy power generation power management and control system based on regional power grid |
| CN113904448A (en) * | 2021-10-26 | 2022-01-07 | 珠海康晋电气股份有限公司 | Intelligent power distribution operation and maintenance service system based on multi-dimensional monitoring |
| CN113765131A (en) * | 2021-11-10 | 2021-12-07 | 深圳市今朝时代股份有限公司 | Distributed energy storage system and method based on super capacitor |
| CN114580938A (en) * | 2022-03-11 | 2022-06-03 | 国网山东省电力公司菏泽供电公司 | Comprehensive power distribution effect evaluation method with multiple data dimensions |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115437301A (en) * | 2022-10-14 | 2022-12-06 | 淄博瀚泓环保科技有限公司 | Working state monitoring and control system of water treatment unit |
| CN115378141A (en) * | 2022-10-18 | 2022-11-22 | 华能辛店发电有限公司 | Power cable fault diagnosis and early warning system and method based on data analysis |
| CN115378141B (en) * | 2022-10-18 | 2023-02-28 | 华能辛店发电有限公司 | Power cable fault diagnosis early warning system and method based on data analysis |
| CN115441591A (en) * | 2022-11-08 | 2022-12-06 | 江苏安世朗智能科技有限公司 | Intelligent remote monitoring power consumption management system based on communication network |
| CN115441591B (en) * | 2022-11-08 | 2023-02-24 | 江苏安世朗智能科技有限公司 | Intelligent remote monitoring power consumption management system based on communication network |
| CN115936492A (en) * | 2022-11-24 | 2023-04-07 | 双阳化工淮安有限公司 | Chemical production exhaust emission automatic monitoring system |
| CN115936492B (en) * | 2022-11-24 | 2023-10-20 | 双阳化工淮安有限公司 | Automatic monitoring system for tail gas emission in chemical production |
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