CN110852588A - Power grid system terminal customer is with ability demand integration analysis system - Google Patents

Power grid system terminal customer is with ability demand integration analysis system Download PDF

Info

Publication number
CN110852588A
CN110852588A CN201911057737.6A CN201911057737A CN110852588A CN 110852588 A CN110852588 A CN 110852588A CN 201911057737 A CN201911057737 A CN 201911057737A CN 110852588 A CN110852588 A CN 110852588A
Authority
CN
China
Prior art keywords
server
power
client
power grid
utilization
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201911057737.6A
Other languages
Chinese (zh)
Inventor
刘林青
张旭东
陶鹏
葛云龙
李翀
李兵
马浩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
State Grid Hebei Energy Technology Service Co Ltd
Marketing Service Center of State Grid Hebei Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
State Grid Hebei Energy Technology Service Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd, State Grid Hebei Energy Technology Service Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201911057737.6A priority Critical patent/CN110852588A/en
Publication of CN110852588A publication Critical patent/CN110852588A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0637Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • Y02P90/82Energy audits or management systems therefor
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/16Energy services, e.g. dispersed generation or demand or load or energy savings aggregation

Abstract

The invention discloses an integrated analysis system for energy requirements of a power grid system terminal customer, and relates to the technical field of intelligent power grid informatization; the system comprises a first server, a second server and a value-added service module, wherein the first server analyzes the access position of a reporting client and generates a power supply scheme through power grid data provided by a power grid GIS platform, the reporting information of the client, the load conditions of transformers of a transformer substation, an opening and closing station and a distribution room, the interval use conditions of the transformer substation, the opening and closing station, the distribution room and a cable demarcation room and the use conditions of channel and pipe well sections; the second server is used for acquiring power utilization data acquired by the load terminal and analyzing the power utilization of the client; the value-added service module is used for acquiring the electricity utilization data on the second server and performing model analysis and scheme optimization; the first server, the second server, the value-added service module and the like are used for realizing convenient and reliable electricity utilization business handling of the client.

Description

Power grid system terminal customer is with ability demand integration analysis system
Technical Field
The invention relates to the technical field of intelligent power grid informatization, in particular to a power grid system terminal customer energy demand integrated analysis system.
Background
The energy demand analysis for the customers is an important work for marketing and distribution network management of a power supply company, is an important way for improving the comprehensive perception and accurate analysis of energy data for the low-voltage customers, and is one of key factors for forming a good distribution network structure. The distribution network equipment is various in types and large in quantity, if the client business expansion and installation requirements are processed, traditional installation and installation management is adopted, the problems that the workload of workers is large, the efficiency is low, the response time of a power supply scheme is long, the frequency of the clients facing the cabinet is large, the power supply scheme is unreasonable and the like can occur, and the demands can be easily upgraded.
In addition, in the beginning of the year, the fusion development of a strong smart power grid and a ubiquitous power Internet of things is comprehensively promoted, a digital technology is used as the power of a traditional power grid, the perception capability, the interaction level and the operation efficiency of the power grid are continuously improved, and the continuous improvement of the participation degree, the satisfaction degree and the feeling of the customers is realized. The integration of power supply service and the internet is deepened continuously, the change of service modes is promoted, the change of an offline service to an online service mode of the internet is accelerated, and the high-quality service level is improved.
Therefore, by constructing a full-flow transparent online service platform for customer users to demand, the customers can handle electricity utilization services more conveniently and intelligently, the power supply quality of a power grid enterprise is accurately matched with a production and operation plan of the customers, the interaction between the power grid and the customers is enhanced, the power supply reliability is improved, a differentiated electricity utilization strategy is provided, unified, efficient and convenient service experience is provided for the customers, and the method is a problem to be solved by technical personnel in the field at present.
Problems with the prior art and considerations:
how to solve the technical problem that a client transacts the electricity utilization service conveniently and reliably.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an integrated analysis system for the energy demand of a power grid system terminal customer, which realizes convenient and reliable electricity utilization business handling of the customer through a first server, a second server, a value-added service module and the like.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: a power grid system terminal customer user can demand the integrated analytic system including first server, second server and value-added service module, the said first server passes the electric wire netting data that the GIS platform of the electric wire netting provides, the customer's newspaper installs the information, the load situation of transformer substation, switching station and electricity distribution room, the interval service condition of transformer substation, switching station, electricity distribution room and cable demarcation room, and the service condition of channel and tube well section, analyze and report the customer and install the cut-in position and generate the power supply scheme; the second server is used for acquiring power utilization data acquired by the load terminal and analyzing the power utilization of the client; and the value-added service module is used for acquiring the power utilization data on the second server and performing model analysis and scheme optimization.
The further technical scheme is as follows: and automatically identifying and marking the electricity consumption property of the customer according to the customer number bottom database.
The further technical scheme is as follows: providing an access scheme to a client through the first server.
The further technical scheme is as follows: and the power supply scheme maker of the first server edits the acquired power supply scheme and sends the candidate power supply scheme to the power utilization client through the world wide web or a gprs network platform.
The further technical scheme is as follows: and the power supply scheme maker of the first server adds an electronic information sending step in a field investigation link and sends the revised power supply scheme suggestion based on the field investigation operation condition to the power utilization client.
The further technical scheme is as follows: the second server checks the total power consumption or the classified power consumption curve according to a time axis; and the second server monitors and analyzes the energy-using equipment and sends out alarm prompt to abnormal load of the equipment.
The further technical scheme is as follows: and the second server actively or passively interacts information and stores and receives power utilization conditions of the electric appliances, equipment detection and analysis data, equipment abnormal information and energy-saving suggestion information.
The further technical scheme is as follows: the energy-saving information recommending module is used for calculating the electric charge level and the energy consumption of the client equipment through the second server and providing energy-saving reference suggestions for the client.
The further technical scheme is as follows: the value-added service module is also used for comparing and analyzing the electricity utilization data of the high-voltage customers in the same region, the same industry and the same standard enterprises and providing an electric power distribution optimization suggestion for reasonable energy utilization of the high-voltage customers.
The further technical scheme is as follows: the user value-added service module is also used for sharing industry typical electricity utilization data for the client and providing a difference electricity utilization strategy.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in:
the system comprises a first server, a second server and a value-added service module, wherein the first server analyzes the access position of a reporting client and generates a power supply scheme through power grid data provided by a power grid GIS platform, the reporting information of the client, the load conditions of transformers of a transformer substation, an opening and closing station and a distribution room, the interval use conditions of the transformer substation, the opening and closing station, the distribution room and a cable demarcation room and the use conditions of a channel and a pipe well section; the second server is used for acquiring power utilization data acquired by the load terminal and analyzing the power utilization of the client; and the value-added service module is used for acquiring the power utilization data on the second server and performing model analysis and scheme optimization. According to the technical scheme, the electricity utilization service is convenient and reliable to transact by the client through the first server, the second server, the value-added service module and the like.
See detailed description of the preferred embodiments.
Drawings
Fig. 1 is a schematic block diagram of embodiment 1 of the present invention.
Fig. 2 is a schematic block diagram of embodiment 2 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways than those described herein, and it will be apparent to those of ordinary skill in the art that the present application is not limited to the specific embodiments disclosed below.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
In the description of the present application, it is to be understood that the orientation or positional relationship indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the orientation or positional relationship shown in the drawings, and are used for convenience of description and simplicity of description only, and in the case of not making a reverse description, these directional terms do not indicate and imply that the device or element being referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore, should not be considered as limiting the scope of the present application; the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.
Spatially relative terms, such as "above … …," "above … …," "above … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
It should be noted that the terms "first", "second", and the like are used to define the components, and are only used for convenience of distinguishing the corresponding components, and the terms have no special meanings unless otherwise stated, and therefore, the scope of protection of the present application is not to be construed as being limited.
Example 1:
as shown in fig. 1, the invention discloses an integrated analysis system for energy demand of a power grid system terminal customer, which comprises a first server, a second server, a value-added service module and an energy-saving information suggestion module, wherein the first server analyzes the access position of a customer and generates a power supply scheme through power grid data provided by a power grid GIS platform, customer installation information, load conditions of a transformer substation, an opening and closing station and a distribution room, interval use conditions of the transformer substation, the opening and closing station, the distribution room and a cable demarcation room and use conditions of channel and pipe well sections.
And automatically identifying and marking the electricity consumption property of the customer according to the customer number bottom database.
Providing an access scheme to a client through the first server.
And the power supply scheme maker of the first server edits the acquired power supply scheme and sends the candidate power supply scheme to the power utilization client through the world wide web or a gprs network platform.
And the power supply scheme maker of the first server adds an electronic information sending step in a field investigation link and sends the revised power supply scheme suggestion based on the field investigation operation condition to the power utilization client.
And the second server is used for acquiring the power utilization data acquired by the load terminal and analyzing the power utilization of the client.
And the second server checks the total power consumption or the classified power consumption curve according to the time axis.
And the second server monitors and analyzes the energy-using equipment and sends out alarm prompt to abnormal load of the equipment.
And the second server exchanges information, stores and transmits the power utilization condition of the electric appliance, equipment detection and analysis data, equipment abnormal information and energy-saving suggestion information.
And the value-added service module is used for acquiring the power utilization data on the second server and performing model analysis and scheme optimization.
The value-added service module is also used for comparing and analyzing the electricity utilization data of the high-voltage customers in the same region, the same industry and the same standard enterprises and providing an electric power distribution optimization suggestion for reasonable energy utilization of the high-voltage customers.
The user value-added service module is also used for sharing industry typical electricity utilization data for the client and providing a difference electricity utilization strategy.
And the energy-saving information suggestion module is used for calculating the electric charge level and the energy consumption of the client equipment through the second server and providing energy-saving reference suggestions for the client.
Example 2:
the difference between the embodiment 2 and the embodiment 1 is that the first server is a power supply scheme intelligent analysis substation, the second server is a residential electricity consumption intelligent service platform, and the value-added service module is a large-customer value-added service module.
As shown in fig. 2, the invention discloses an integrated analysis system for energy demand of customers at a terminal of a power grid system, which comprises a power supply scheme intelligent analysis substation, a resident electricity consumption intelligent service platform, a large customer value-increasing service module and an energy-saving information suggestion module, wherein the power supply scheme intelligent analysis substation analyzes power grid data, customer installation information, load conditions of transformers of a transformer substation, an opening and closing station and a distribution room, interval use conditions of the transformer substation, the opening and closing station, the distribution room and a cable demarcation room and use conditions of sections of a channel and a pipe well through a power grid GIS platform, analyzes access positions of installation customers and generates a power supply scheme.
And automatically identifying and marking the electricity consumption property of the customer according to the customer number bottom database.
And providing an access scheme for the client through the power supply scheme intelligent analysis substation.
And the power supply scheme maker of the power supply scheme intelligent analysis substation edits the acquired power supply scheme and sends the candidate power supply scheme to the power utilization client through the world wide web or the gprs network platform.
And the power supply scheme maker of the power supply scheme intelligent analysis substation adds an electronic information sending step in a field investigation link and sends the revised power supply scheme suggestion based on the field investigation operation condition to the power utilization client.
The resident electricity consumption intelligent service platform is a server used for acquiring electricity consumption data collected by the load terminal and analyzing customer electricity consumption.
The resident electricity consumption intelligent service platform checks the total electricity consumption or the classified electricity consumption curve according to a time axis.
The resident electricity consumption intelligent service platform monitors and analyzes energy utilization equipment and gives an alarm to abnormal load of the equipment.
The resident electricity consumption intelligent service platform is used for information interaction, storing, transceiving and sending electricity consumption conditions of the electrical appliances, equipment detection and analysis data, equipment abnormal information and energy-saving advice information.
And the large customer value-added service module is used for acquiring the electricity consumption data on the resident electricity consumption intelligent service platform and performing model analysis and scheme optimization.
The large customer value-added service module is also used for comparing and analyzing the electricity consumption data of the high-voltage customers in the same area, the same industry and the same standard enterprise and providing an electric power distribution optimization suggestion for reasonable use of the high-voltage customers.
The value-added service module for the large customer is also used for sharing the typical electricity utilization data of the industry for the customers and providing a difference electricity utilization strategy.
And the energy-saving information suggestion module is used for calculating the electric charge level and the energy consumption of the client equipment through the resident electricity consumption intelligent service platform and providing energy-saving reference suggestions for the client.
The invention concept of the application is as follows:
the first server, the second server, the value-added service module and the like are used for realizing convenient and reliable electricity utilization business handling of the client.
Technical contribution of the present application:
1. the system at least comprises a power supply scheme intelligent analysis substation, a resident electricity consumption intelligent service platform and a large client value-added service module; the intelligent analysis substation of the power supply scheme integrates information of each professional power grid by utilizing power grid data provided by a provincial and municipal power grid GIS platform and combining information reported by users, calls related professional system platform data, automatically inquires transformer load conditions and incoming and outgoing line load conditions of a transformer substation, an opening and closing station and a distribution room, interval use conditions of the transformer substation, the opening and closing station, the distribution room and a cable demarcation room, and use conditions of channels and pipe well sections, assists in analyzing possible access positions of reported users, and automatically generates the power supply scheme according to typical templates and compiling requirements of the power supply scheme; the resident electricity consumption intelligent service platform acquires electricity consumption data collected by the non-invasive load terminal to carry out user electricity consumption analysis; the large customer value-added service module provides special data acquisition, model analysis and scheme optimization for the power utilization terminal customer groups with the scales above.
2. The system realizes automatic identification and marking of the electricity consumption property of the customer according to the bottom database of the customer number.
3. The power supply scheme intelligent analysis substation provides a plurality of groups of executable access schemes for the client, so that the counter number of the latter is reduced under the condition of meeting the requirements of the power grid terminal user, and the speed and the efficiency of response of the power grid user to the installation reporting requirements are improved.
4. And the power supply scheme maker of the power supply scheme intelligent analysis substation edits the acquired power supply scheme and sends the candidate power supply scheme to the power utilization client through the world wide web or the gprs network platform.
5. And the power supply scheme maker of the power supply scheme intelligent analysis substation further adds an electronic information sending function in a field investigation link and sends a plurality of revised power supply scheme suggestions based on the field investigation operation condition to the power utilization client.
6. The resident electricity consumption intelligent service platform is compatible to check the total electricity consumption and the classified electricity consumption curves according to a time axis.
7. The resident electricity consumption intelligent service platform is compatible with monitoring and analyzing key energy utilization equipment, and sends out alarm reminding to abnormal load of equipment.
8. The resident electricity consumption intelligent service platform is compatible with active and passive information interaction, and supports storage and gateway receiving and sending of electricity consumption conditions of electric appliances, equipment detection and analysis data, equipment abnormal information and energy-saving advice information.
9. The intelligent residential electricity consumption service platform further comprises an energy-saving information suggestion module, can simulate the situation that the electricity charge level is calculated by adopting other charging modes and the energy consumption situation is calculated by the same type of user equipment, and provides further energy-saving reference suggestions for clients on the basis of the situation.
10. The large customer value-added service module is compatible with comparison and analysis of power consumption data of high-voltage customers in the same region, the same industry and the same standard enterprise, and provides an electric power distribution optimization suggestion for reasonable use of the high-voltage customers.
11. The large customer value-added service module is compatible with key customers to share industry typical electricity utilization data and provide a difference electricity utilization strategy.
12. The integration of the system is compatible with at least a PC port, a mobile internet port and a third-party program distribution port.
Description of the drawings:
the power grid system terminal customer is with ability demand integration analysis system:
the integrated analysis system realizes automatic identification and marking of the electricity consumption property of the customer according to the customer number bottom database; the system comprises a power supply scheme intelligent analysis substation, a resident electricity consumption intelligent service platform and a large-client value-added service module; the integration of the system is compatible with at least a PC port, a mobile internet port and a third-party program distribution port, such as a WeChat port and a Paibao port.
The power supply scheme intelligent analysis substation and the implementation thereof are as follows:
the intelligent analysis substation for the power supply scheme integrates information of each professional power grid by utilizing power grid data provided by a provincial and municipal power grid GIS platform and combining information reported by users, calls related professional system platform data, automatically inquires transformer load conditions and incoming and outgoing line load conditions of a transformer substation, an opening and closing station and a distribution room, interval use conditions of the transformer substation, the opening and closing station, the distribution room and a cable demarcation room, and use conditions of sections of a channel and a pipe well, assists in analyzing possible access positions of the reported users, and automatically generates the power supply scheme according to typical templates and compiling requirements of the power supply scheme; the power supply scheme intelligent analysis substation provides a plurality of groups of executable access schemes for the client, so that the number of times of cabinet facing of a power grid terminal user is reduced under the condition of meeting the requirement of the power grid terminal user, and the speed and efficiency of response of the power grid user to the reporting requirement are improved; the power supply scheme formulating party of the power supply scheme intelligent analysis substation edits the acquired power supply scheme and sends the candidate power supply scheme to the power utilization client through the world wide web or the gprs network platform; and the power supply scheme maker of the power supply scheme intelligent analysis substation further adds an electronic information sending function in a field investigation link and sends a plurality of revised power supply scheme suggestions based on the field investigation operation condition to the power utilization client.
Resident's power consumption wisdom service platform and function realize:
the resident electricity consumption intelligent service platform acquires electricity consumption data collected by the non-invasive load terminal to carry out user electricity consumption analysis; the large customer value-added service module provides special data acquisition, model analysis and scheme optimization for the power utilization terminal customer groups with the scales above; furthermore, the resident electricity consumption intelligent service platform is compatible with checking the total electricity consumption and the classified electricity consumption curves according to a time axis; furthermore, the resident electricity consumption intelligent service platform is compatible with monitoring and analysis of key energy utilization equipment, and sends alarm prompt to abnormal load of the equipment; furthermore, the resident electricity consumption intelligent service platform is compatible with active and passive information interaction, and supports storage and gateway receiving and sending of electricity consumption conditions of electric appliances, equipment detection and analysis data, equipment abnormal information and energy-saving suggestion information; finally, the intelligent residential electricity consumption service platform further comprises an energy-saving information suggestion module, and can simulate the situation that the electricity charge level is calculated by adopting other charging modes and the energy consumption situation is calculated by the same type of user equipment, and further energy-saving reference suggestions are provided for the client based on the situation.
The big customer value-added service module and the function realization thereof are as follows:
the large-client value-added service module is compatible with comparison and analysis of power consumption data of high-voltage clients in the same region, the same industry and the same standard enterprise, and provides an electric power distribution optimization suggestion for reasonable energy consumption of the high-voltage clients; furthermore, the large customer value-added service module is compatible with key customers to share industry typical electricity utilization data and provide a difference electricity utilization strategy.
Constructing a system implementation target model:
the method realizes three targets, namely, the intelligent auxiliary formulation and the power information sharing of the power supply scheme are realized by calculating the information such as the openable capacity of the adjacent access point, and the compiling transparency of the power supply scheme is improved. And secondly, accurate analysis of user energy consumption analysis and personalized power utilization suggestion recommendation are realized through comprehensive perception of energy consumption data of the low-voltage user. Thirdly, typical power utilization data of the industry are shared by large customers, a differentiated optimized power utilization strategy is provided, user viscosity is improved, and customer satisfaction is enhanced.
The power supply scheme intelligent auxiliary analysis:
and in the business application link, calculating the developable capacity of the line and the openable capacity of the transformer, and displaying the public transformer and the line information by combining a GIS map. And the power supply scheme is visually displayed, the link of on-site investigation is combined with a GIS map, available resources in the address range reported by the user are visually displayed, and a power supply and line travel power supply scheme suggestion is selected. And the power supply scheme user interaction is realized, and after the power supply scheme maker confirms that the auxiliary compilation scheme is correct, the power supply scheme maker can edit the power supply scheme, and can send the candidate power supply scheme to the power consumption customer through the short message platform. And a short message sending function is added in the field investigation link, and a plurality of power supply scheme suggestions are sent to the power utilization customers.
Data analysis and graphical display of the resident electricity consumption intelligent service manager:
the WeChat public number 'national network Hebei electric power' increases the function or the WeChat applet 'uses the electric wisdom service housekeeper'. And acquiring power utilization data acquired by the non-invasive load terminal, and analyzing the power utilization of the user.
Example electricity usage data analysis: time period: the last 24 hours, the last week, the last month; analysis items: classification power usage ranking TOP 5: from high to low, bar graph displays; the classified power consumption accounts for: the circled plot shows%.
Example of power utilization anomaly identification: time period: the last 24 hours, the last week, the last month; analysis items: checking a total electricity consumption curve according to a time axis, namely every hour, every 6 hours and every day; checking a classified electricity consumption curve according to a time axis, namely every hour, every 6 hours and every day; and (3) abnormality identification: the system identifies the abnormity of the curves in different time periods, such as sudden increase of the power consumption and long-term maintenance of the power consumption at a high level.
Energy-saving suggestion information pushing of the resident electricity consumption intelligent service manager:
the information push content at least comprises:
(1) and the week summary comprises the classified ranking of the power consumption in the week, the analysis result of the power consumption abnormity, and different energy-saving suggestions are given according to the first classification of the power consumption ranking.
(2) The simulation user adopts other charging modes, such as simulation meter combination/step electricity price, simulation step/step peak-valley electricity price and calculation of the electricity charge level, and the client can freely select whether to change the charging mode according to the comparison condition so as to provide reference opinions for the client.
(3) And predicting the gear-crossing possibility of the user through step power utilization condition analysis.
(4) Monitoring and analyzing key energy-using equipment of a user, and sending an alarm prompt to abnormal load of the equipment.
(5) And comparing the energy consumption conditions of the user equipment and the similar equipment based on the equipment load and the equipment information, and reminding the user of optimizing the equipment with overhigh energy consumption.
And push content can be increased or decreased at any time according to actual requirements.
Analyzing the value-added service of the large customer and opening and inquiring the recommended electricity utilization information:
depending on the WeChat platform, to the big customer, i.e. the user scope: the high-voltage user actively pushes customer electricity utilization information or adds a large customer value-added service function menu, shares industry typical electricity utilization data and provides a differentiated electricity utilization strategy.
By means of the WeChat platform, time-sharing detailed data inquiry of self electric quantity, electric charge, load and the like is provided for the client, the user can conveniently analyze and judge the unreasonable self electric consumption behavior and management loss by combining the actual electric consumption condition, and data support is provided for saving the electric consumption cost of the client.
And (3) displaying by a system: the time is month, electricity meter number, number type, electricity meter, electricity charge, item, namely peak, average, valley, basic, force and unit price. The basic data may be combined to form an electricity usage information open lookup table as shown in table 1 below.
Table 1:
Figure DEST_PATH_IMAGE001
the method comprises the following steps of analyzing the value-added service of a large customer, comparing and inquiring recommended electricity utilization information and analyzing and suggesting energy utilization:
the information such as the electric quantity, the electric charge, the load, the time-sharing power consumption, the classification proportion ratio and the like of enterprises in the same area, the same industry and the same standard are provided for the client by depending on the WeChat platform, the total power consumption level of the client and the average power consumption level in the same industry are compared and analyzed, the user is helped to know the reasonable condition of the energy consumption in the industry, the enterprise management is promoted, the willingness is improved, and the viscosity of the user is improved.
The display content comprises the following steps: the method is characterized in that the method is classified in the same industry in Hebei provinces, namely the voltage class and the electricity utilization class in the same specification; calculating the average value of the electric quantity/the electric charge; selecting time, namely month, and comparing the client with the average value of the electric quantity/the electric charge; the monthly classification scale was compared to the mean on the time axis.
User energy consumption analysis and suggestion: and evaluating the power utilization condition of the user according to the industry category, the power utilization property and the power charge and quantity information, and comparing the power utilization condition with the power utilization condition of a typical user, and providing a power distribution optimization suggestion to save the power utilization cost for the client.
After the technical scheme is operated for a period of time in a confidential mode, the feedback of field workers has the advantages that:
the intelligent analysis substation provides a more feasible access scheme for the client through the power supply scheme, so that the frequency of the client facing the cabinet is reduced under the condition of meeting the client requirement, and the client installation requirement is conveniently, scientifically and quickly completed; according to the system, the electricity utilization client can check electricity utilization conditions of various electrical appliances based on the resident electricity utilization intelligent service platform, acquire abnormal equipment information in time and obtain related energy-saving suggestions.
The large customer value-added service module shares industry typical electricity utilization data for key customers and provides a difference electricity utilization strategy.
The business expansion working efficiency can be effectively improved, the client viscosity is improved, and the client satisfaction is enhanced.

Claims (10)

1. The utility model provides a power grid system terminal customer is with ability demand integration analytic system which characterized in that: the system comprises a first server, a second server and a value-added service module, wherein the first server analyzes the access position of a reporting client and generates a power supply scheme through power grid data provided by a power grid GIS platform, the reporting information of the client, the load conditions of transformers of a transformer substation, an opening and closing station and a distribution room, the interval use conditions of the transformer substation, the opening and closing station, the distribution room and a cable demarcation room and the use conditions of a channel and a pipe well section; the second server is used for acquiring power utilization data acquired by the load terminal and analyzing the power utilization of the client; and the value-added service module is used for acquiring the power utilization data on the second server and performing model analysis and scheme optimization.
2. The power grid system end user energy demand integration analysis system of claim 1, characterized in that: and automatically identifying and marking the electricity consumption property of the customer according to the customer number bottom database.
3. The power grid system end user energy demand integration analysis system of claim 1, characterized in that: providing an access scheme to a client through the first server.
4. The power grid system end user energy demand integration analysis system of claim 1, characterized in that: and the power supply scheme maker of the first server edits the acquired power supply scheme and sends the candidate power supply scheme to the power utilization client through the world wide web or a gprs network platform.
5. The power grid system terminal customer energy demand integration analysis system of claim 4, characterized in that: and the power supply scheme maker of the first server adds an electronic information sending step in a field investigation link and sends the revised power supply scheme suggestion based on the field investigation operation condition to the power utilization client.
6. The power grid system end user energy demand integration analysis system of claim 1, characterized in that: the second server checks the total power consumption or the classified power consumption curve according to a time axis; and the second server monitors and analyzes the energy-using equipment and sends out alarm prompt to abnormal load of the equipment.
7. The power grid system end user energy demand integration analysis system of claim 1, characterized in that: and the second server actively or passively interacts information and stores and receives power utilization conditions of the electric appliances, equipment detection and analysis data, equipment abnormal information and energy-saving suggestion information.
8. The power grid system end user energy demand integration analysis system of claim 1, characterized in that: the energy-saving information recommending module is used for calculating the electric charge level and the energy consumption of the client equipment through the second server and providing energy-saving reference suggestions for the client.
9. The power grid system end user energy demand integration analysis system of claim 1, characterized in that: the value-added service module is also used for comparing and analyzing the electricity utilization data of the high-voltage customers in the same region, the same industry and the same standard enterprises and providing an electric power distribution optimization suggestion for reasonable energy utilization of the high-voltage customers.
10. The power grid system end user energy demand integration analysis system of claim 1, characterized in that: the user value-added service module is also used for sharing industry typical electricity utilization data for the client and providing a difference electricity utilization strategy.
CN201911057737.6A 2019-11-01 2019-11-01 Power grid system terminal customer is with ability demand integration analysis system Pending CN110852588A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911057737.6A CN110852588A (en) 2019-11-01 2019-11-01 Power grid system terminal customer is with ability demand integration analysis system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911057737.6A CN110852588A (en) 2019-11-01 2019-11-01 Power grid system terminal customer is with ability demand integration analysis system

Publications (1)

Publication Number Publication Date
CN110852588A true CN110852588A (en) 2020-02-28

Family

ID=69599432

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911057737.6A Pending CN110852588A (en) 2019-11-01 2019-11-01 Power grid system terminal customer is with ability demand integration analysis system

Country Status (1)

Country Link
CN (1) CN110852588A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112070481A (en) * 2020-09-08 2020-12-11 广东电网有限责任公司肇庆供电局 Remote installation system and method

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009153252A (en) * 2007-12-19 2009-07-09 Toko Electric Corp Demand monitoring system
CN105373972A (en) * 2015-12-04 2016-03-02 福建亿榕信息技术有限公司 Low-voltage client power supply scheme generation method
CN106777244A (en) * 2016-12-27 2017-05-31 国网浙江象山县供电公司 A kind of power customer electricity consumption behavior analysis method and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009153252A (en) * 2007-12-19 2009-07-09 Toko Electric Corp Demand monitoring system
CN105373972A (en) * 2015-12-04 2016-03-02 福建亿榕信息技术有限公司 Low-voltage client power supply scheme generation method
CN106777244A (en) * 2016-12-27 2017-05-31 国网浙江象山县供电公司 A kind of power customer electricity consumption behavior analysis method and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李碧辉: "基于 GIS 的配网业扩报装辅助支持系统的设计及实现", 《大众用电》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112070481A (en) * 2020-09-08 2020-12-11 广东电网有限责任公司肇庆供电局 Remote installation system and method

Similar Documents

Publication Publication Date Title
JP5616330B2 (en) Method and system for managing a power grid
Chou et al. Cloud forecasting system for monitoring and alerting of energy use by home appliances
CN101789628B (en) Enterprise electrical energy-saving management system
CN102855525B (en) A kind of resident's load prediction analytic system and method
US20040225648A1 (en) Human machine interface for an energy analytics system
CN103984307A (en) Energy monitoring management system and method based on electricity waveform analysis
CN105356620B (en) Electric energy quality monitoring system
CN104779699A (en) Multifunctional station line loss management system
DE102012105404A1 (en) Systems and methods for predicting energy consumption
CN103605331B (en) A kind of intelligent power service system based on UC technology
JP2009089579A (en) Consumer service portal platform system for power-added service
CN101763598A (en) Electrical energy management system
Yang et al. Smart metering and systems for low-energy households: challenges, issues and benefits
US20140114489A1 (en) Sustainable energy efficiency management system
CN111614160A (en) Low-voltage user load regulation service bearing platform
CN103607425B (en) Intelligent electricity consumption service method based on UC technology
CN209821878U (en) Management system of building information
Vadda et al. Smart metering for smart electricity consumption
Sun et al. Analysis of diversified residential demand in London using smart meter and demographic data
Veskioja et al. Implications of digitalization in facilitating socio-technical energy transitions in Europe
CN111612220A (en) Intelligent power utilization evaluation system based on big data
CN110852588A (en) Power grid system terminal customer is with ability demand integration analysis system
CN102299553A (en) Electricity service effect support system
Matos et al. InovGrid, a smart vision for a next generation distribution system
KR102030371B1 (en) United electronic power management system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20211216

Address after: 050021 No. 238 South Sports street, Hebei, Shijiazhuang

Applicant after: STATE GRID HEBEI ELECTRIC POWER Research Institute

Applicant after: Marketing service center of State Grid Hebei Electric Power Co.,Ltd.

Applicant after: STATE GRID CORPORATION OF CHINA

Applicant after: STATE GRID HEBEI ENERGY TECHNOLOGY SERVICE Co.,Ltd.

Address before: No.238, TIYU South Street, Shijiazhuang, Hebei 050000

Applicant before: STATE GRID HEBEI ELECTRIC POWER Research Institute

Applicant before: STATE GRID CORPORATION OF CHINA

Applicant before: STATE GRID HEBEI ENERGY TECHNOLOGY SERVICE Co.,Ltd.

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20200228