CN115296297A - Intelligent power supply scheduling system - Google Patents
Intelligent power supply scheduling system Download PDFInfo
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- CN115296297A CN115296297A CN202210998569.6A CN202210998569A CN115296297A CN 115296297 A CN115296297 A CN 115296297A CN 202210998569 A CN202210998569 A CN 202210998569A CN 115296297 A CN115296297 A CN 115296297A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
An intelligent power supply scheduling system relates to the technical field of power supply of power grids. The problems that the existing power dispatching is poor in intelligence, low in power supply efficiency and energy waste are solved. The power distribution system comprises a power generation side data acquisition unit, a power generation statistical analysis module, a power utilization prediction model and a power dispatching control module, wherein each power generation side data acquisition unit is used for acquiring the power generation time and the power generation amount of one power generation unit, the power generation statistical analysis module is used for counting the power generation time and the power generation amount of each power generation unit and the type of the power generation unit, the power utilization prediction model adopts a neural network to predict the power consumption of each power utilization unit in the next time period, and the power dispatching control module is used for distributing power according to the power generation time and the power generation amount of all the power generation units and the type of the power generation units and the power consumption requirement of each power utilization unit. The invention is suitable for electric energy distribution.
Description
Technical Field
The invention relates to the technical field of power supply of power grids.
Background
The power supply system is a system which is composed of a power supply system and a power transmission and distribution system and used for generating electric energy and supplying and conveying the electric energy to electric equipment, and can be roughly divided into three forms of TN, IT and TT, wherein the TN system is divided into three expression forms of TN-C, TN-S and TN-C-S. The power supply system has to follow the principles of reliable power supply, convenient operation, safe and flexible operation, economy, reasonableness and the like, and the power supply source can be divided into a mine power supply system, an urban power supply system, an electric traction power supply system, power supply system impedance, power supply system harmonic waves, an airplane electrical system and the like.
The current urban power consumption is because the power consumption environment is complicated, and power distribution system can not carry out intelligent power supply according to the actual power consumption demand of power consumption side, has the problem that power supply efficiency is low.
Disclosure of Invention
The invention provides an intelligent power supply scheduling system, aiming at solving the problems of poor intelligence, low power supply efficiency and energy waste of the existing power scheduling.
The invention provides an intelligent power supply scheduling system, which comprises: the system comprises a power generation adjusting unit, n power generation side data acquisition units, a power generation statistical analysis module, a power utilization prediction model, m power utilization side data acquisition units, a power distribution adjusting unit, a power dispatching control unit and an energy storage power station; wherein m and n are positive integers;
each power generation side data acquisition unit is used for correspondingly acquiring the power generation time and the power generation amount of one power generation unit and sending the acquired power generation time and power generation amount information to the power generation statistical analysis module;
the power generation statistical analysis module is used for counting the power generation time, the power generation amount and the type of the power generation unit of each power generation unit acquired by the n power generation side data acquisition units and sending the statistical result to the power dispatching control unit;
each power consumption side data acquisition unit correspondingly acquires the real-time power consumption of one power consumption unit and sends the acquired power consumption information to the power consumption prediction model at regular time;
the power utilization prediction model predicts the power consumption of the power utilization unit in the next time period by adopting a neural network according to the power consumption information sent by each power utilization side data acquisition unit, the user property proportion of the power utilization unit and the power utilization peak time, and sends the predicted power consumption of each power utilization unit in the next time period, the predicted power consumption of the previous time period and the user property proportion of each power utilization unit to the power scheduling control unit; the user property proportion is the proportion of commercial power users and civil power users;
the power dispatching control unit adjusts the predicted power consumption of each power consumption unit in the next time period according to the power consumption of each fixed area in the last time period, the user property proportion in each power consumption unit and the historical power consumption of each area in the next time period, which are sent by the power consumption prediction model, acquires the adjusted power consumption information of each power consumption unit in the next time period according to the statistical result information and the type of the power station, which are sent by the power generation statistical analysis module 4, and sends power generation regulation information to the power generation regulation unit according to the power consumption information of each power consumption unit at the next moment;
the power generation regulating unit controls whether all the power generation units generate power or transmits the electric energy generated by the power generation units to the power dispatching control unit according to the power generation regulating information;
the power dispatching control unit controls the electric energy generated by the power generation unit in the next time period to be transmitted to the power distribution regulating unit and/or the energy storage power station according to the adjusted power consumption information of each power consumption unit in the next time period; the adjusted power consumption information of each power consumption unit in the next time period is sent to a power distribution adjusting unit;
the energy storage power station is used for storing electric energy;
and the power distribution regulating unit is used for distributing the received electric energy to the power utilization units according to the regulated power consumption information of each power utilization unit in the next time period.
Furthermore, in the invention, the power utilization side data acquisition unit acquires the electric energy of the user in real time by acquiring the electric energy meter of the user.
Further, in the invention, the energy storage power station adopts a power energy storage power station.
The power utilization area is divided into a plurality of power utilization units according to a fixed range, the real-time power consumption of the power utilization units is collected in real time and is transmitted to the power utilization prediction model, the power consumption of each power utilization unit at the next moment is predicted, the power scheduling control module adjusts the power of the power generation units according to the predicted power consumption of each power utilization unit at the next moment, redundant electric energy is sent to the energy storage power station for electric energy storage at the power utilization valley, and the electric quantity of the energy storage power station is sent out when the power consumption is in a peak, so that the power supply on demand is realized, the energy waste is reduced, and the power supply efficiency is effectively improved.
Drawings
Fig. 1 is a schematic block diagram of an intelligent power supply scheduling system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The first specific implementation way is as follows: the following describes this embodiment with reference to fig. 1, and an intelligent power supply scheduling system according to this embodiment includes: the system comprises a power generation adjusting unit 1, n power generation side data acquisition units 3, a power generation statistical analysis module 4, a power utilization prediction model 5, m power utilization side data acquisition units 6, a power distribution adjusting unit 8, a power dispatching control unit 9 and an energy storage power station 10; wherein m and n are positive integers;
each power generation side data acquisition unit 3 is used for correspondingly acquiring the power generation time and the power generation amount of one power generation unit 2 and sending the acquired power generation time and power generation amount information to the power generation statistical analysis module 4;
the power generation statistical analysis module 4 is used for counting the power generation time and the power generation amount of each power generation unit 2 and the type of the power generation unit 2 acquired by the n power generation side data acquisition units 3 and sending the statistical result to the power scheduling control unit 9;
each power utilization side data acquisition unit 6 correspondingly acquires the real-time power consumption of one power utilization unit 7 and sends the acquired power consumption information to the power utilization prediction model 5 at regular time;
the power utilization prediction model 5 predicts the power consumption of the power utilization unit 7 in the next time period by adopting a neural network according to the power consumption information sent by each power utilization side data acquisition unit 6, the user property proportion in the power utilization unit 7 and the power utilization peak time, and sends the predicted power consumption of each power utilization unit 7 in the next time period, the predicted power consumption of the previous time period and the user property proportion in each power utilization unit 7 to the power scheduling control unit 9; the user property proportion is the proportion of commercial power users and civil power users;
the power dispatching control unit 9 adjusts the power consumption predicted by each power consumption unit 7 in the next time period according to the power consumption of each fixed area in the previous time period, the user property proportion in each power consumption unit 7 and the historical power consumption of the next time period in each area, which are sent by the power consumption prediction model 5, acquires the adjusted power consumption information of each power consumption unit 7 in the next time period according to the statistical result information and the type of the power station, which are sent by the power generation statistical analysis module 4, and sends power generation regulation information to the power generation regulation unit 1 according to the power consumption information of each power consumption unit 7 in the next time;
the power generation regulating unit 1 controls whether all the power generating units 2 generate power or transmits the electric energy generated by the power generating units 2 to the power scheduling control unit 9 according to the power generation regulating information;
the power dispatching control unit 9 controls the electric energy generated by the power generation unit 2 in the next time period to be transmitted to the power distribution regulating unit 8 and/or the energy storage power station 10 according to the adjusted power consumption information of each power utilization unit 7 in the next time period; the adjusted power consumption information of each power consumption unit 7 in the next time period is sent to the power distribution adjusting unit 8;
the energy storage power station 10 is used for electric energy storage;
the power distribution regulating unit 8 is configured to distribute the received electric energy to the power utilization units 7 according to the adjusted power consumption information of the next time period of each power utilization unit 7.
Further, in the invention, the power consumption side data acquisition unit 6 acquires the electric energy of the user in real time by adopting a mode of acquiring the electric energy meter of the user.
Further, in the present invention, the energy storage power station 10 is a power energy storage power station.
The method and the system adopt the mode of supplying energy according to the demand to distribute the electric energy, predict the power consumption of each power consumption unit at the next moment, compare the predicted power consumption at the next moment according to the power consumption of each power consumption unit at the previous year, correct the predicted power consumption of each power consumption unit at the next moment according to the fact that the actual power consumption environment of each power consumption unit at present has variables, such as construction, property change of users in the area and the like, and distribute the electric energy according to the corrected predicted power consumption of each power consumption unit at the next moment, thereby effectively improving the power distribution efficiency and reducing the energy waste.
Although the invention herein has been described with reference to particular embodiments, it is to be understood that these embodiments are merely illustrative of the principles and applications of the present invention. It is therefore to be understood that numerous modifications may be made to the illustrative embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that features described in different dependent claims and herein may be combined in ways different from those described in the original claims. It is also to be understood that features described in connection with individual embodiments may be used in other described embodiments.
Claims (3)
1. An intelligent power supply scheduling system, comprising: the power generation system comprises a power generation adjusting unit (1), n power generation side data acquisition units (3), a power generation statistical analysis module (4), a power utilization prediction model (5), m power utilization side data acquisition units (6), a power distribution adjusting unit (8), a power dispatching control unit (9) and an energy storage power station (10); wherein m and n are positive integers;
each power generation side data acquisition unit (3) is used for correspondingly acquiring the power generation time and the power generation amount of one power generation unit (2) and sending the acquired power generation time and power generation amount information to the power generation statistical analysis module (4);
the power generation statistical analysis module (4) is used for counting the power generation time, the power generation amount and the type of each power generation unit (2) acquired by the n power generation side data acquisition units (3) and sending the statistical result to the power scheduling control unit (9);
each power consumption side data acquisition unit (6) correspondingly acquires the real-time power consumption of one power consumption unit (7), and transmits the acquired power consumption information to the power consumption prediction model (5) at regular time;
the electricity utilization prediction model (5) predicts electricity consumption in the next time period of the electricity utilization unit (7) by adopting a neural network according to electricity consumption information sent by each electricity utilization side data acquisition unit (6) and user property proportion and electricity utilization peak time in the electricity utilization unit (7), and sends the predicted electricity consumption in the next time period of each electricity utilization unit (7), the predicted electricity consumption in the previous time period and the predicted user property proportion in each electricity utilization unit (7) to the electricity scheduling control unit (9); the user property proportion is the proportion of commercial power users to civil power users;
the power dispatching control unit (9) adjusts the power consumption predicted by each power consumption unit (7) in the next time period according to the power consumption of each fixed area in the previous time period, the user property proportion in each power consumption unit (7) and the historical power consumption of each area in the next time period, which are sent by the power consumption prediction model (5), acquires the adjusted power consumption information of each power consumption unit (7) in the next time period according to the statistical result information and the type of the power station, which are sent by the power generation statistical analysis module (4), and sends power generation regulation information to the power generation regulation unit (1) according to the power consumption information of each power consumption unit (7) in the next time;
the power generation regulating unit (1) controls whether all the power generation units (2) generate power or transmits the electric energy generated by the power generation units (2) to the power scheduling control unit (9) according to the power generation regulating information;
the power dispatching control unit (9) controls the electric energy generated by the power generation unit (2) in the next time period to be transmitted to the power distribution regulating unit (8) and/or the energy storage power station (10) according to the adjusted power consumption information of each power consumption unit (7) in the next time period; sending the adjusted electricity consumption information of each electricity consumption unit (7) in the next time period to a power distribution adjusting unit (8);
the energy storage power station (10) is used for storing electric energy;
the power distribution regulating unit (8) is used for distributing the received electric energy to the power utilization units (7) according to the adjusted power consumption information of each power utilization unit (7) in the next time period.
2. The intelligent power supply dispatching system as claimed in claim 1, wherein the power consumption side data acquisition unit (6) acquires the electric energy of the user in real time by acquiring an electric energy meter of the user.
3. An intelligent power supply dispatching system as claimed in claim 1, wherein the energy storage power station (10) is a power energy storage power station.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210998569.6A CN115296297A (en) | 2022-08-19 | 2022-08-19 | Intelligent power supply scheduling system |
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| CN202210998569.6A CN115296297A (en) | 2022-08-19 | 2022-08-19 | Intelligent power supply scheduling system |
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| CN115296297A true CN115296297A (en) | 2022-11-04 |
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| CN202210998569.6A Pending CN115296297A (en) | 2022-08-19 | 2022-08-19 | Intelligent power supply scheduling system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116633016A (en) * | 2023-05-22 | 2023-08-22 | 湖北华中电力科技开发有限责任公司 | Power management system and method based on high-frequency data acquisition technology |
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2022
- 2022-08-19 CN CN202210998569.6A patent/CN115296297A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116633016A (en) * | 2023-05-22 | 2023-08-22 | 湖北华中电力科技开发有限责任公司 | Power management system and method based on high-frequency data acquisition technology |
| CN116633016B (en) * | 2023-05-22 | 2023-12-22 | 湖北华中电力科技开发有限责任公司 | Power management system and method based on high-frequency data acquisition technology |
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