CN116565860A - Power supply scheduling method and device - Google Patents

Power supply scheduling method and device Download PDF

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Publication number
CN116565860A
CN116565860A CN202310833717.3A CN202310833717A CN116565860A CN 116565860 A CN116565860 A CN 116565860A CN 202310833717 A CN202310833717 A CN 202310833717A CN 116565860 A CN116565860 A CN 116565860A
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power
historical
natural day
time period
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CN116565860B (en
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陆海军
赵梦龙
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Shenzhen Ampere Times Digital Energy Technology Co ltd
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Shenzhen Ampere Times Digital Energy Technology Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems 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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Abstract

The application discloses a power supply scheduling method and device, which are applied to an intelligent inverter and comprise the following steps: acquiring historical electricity consumption, historical stored electricity and historical weather data of each user in a first time period of each historical natural day in a first area, and acquiring future weather data of each user in a first time period of each future natural day; determining the reference electricity consumption of each user in the first time period of each future natural day according to the historical electricity consumption; determining a reference stored electricity quantity of each user in a first time period of each future natural day according to the historical stored electricity quantity, the historical weather data and the future weather data; and sending the reference consumed electric quantity and the reference stored electric quantity to the power grid transaction server, wherein the reference consumed electric quantity and the reference stored electric quantity are used for indicating the power grid transaction server to schedule the power supply condition of the users in the first area. By adopting the method and the device, the balance between the electricity consumption requirement and the electricity supply of the user in the first area can be realized.

Description

Power supply scheduling method and device
Technical Field
The invention relates to the technical field of electronic power, in particular to a power supply scheduling method and device.
Background
In recent years, with the advent of the information age and the rapid development of technology, the electricity demand is continuously rising. In order to relieve the pressure in the aspects of environmental pollution, energy consumption and the like, the radiation energy can be directly or indirectly converted into electric energy by utilizing the power generation mode of photovoltaic power generation through the photoelectric effect or photochemical effect so as to meet the power utilization requirement of a user. Under the advantages of policy support and reduction of power generation cost by photovoltaic energy storage, photovoltaic power generation energy storage systems are gradually stepping into thousands of households. However, in the energy storage system of the community, there may be a mismatch between the electricity demand and the electricity supply of each household in the community.
Disclosure of Invention
The embodiment of the application provides a power supply scheduling method and device, which can realize that the power consumption requirement and the power supply of users in a first area are balanced by scheduling the power supply condition of each user in the first area.
In a first aspect, an embodiment of the present application provides a power supply scheduling method applied to an intelligent inverter, where the intelligent inverter is in communication connection with a power grid transaction server and power grid equipment, and the power grid equipment is in communication connection with a local energy storage system, the method includes:
acquiring historical electricity consumption, historical stored electricity and historical weather data of each user in a first time period of each historical natural day in a first natural day set in a first area, and acquiring future weather data of each user in a first time period of each future natural day in a second natural day set, wherein the first natural day set comprises a plurality of historical natural days, and the second natural day set comprises at least one future natural day;
Determining the reference electricity consumption of each user in the first time period of each future natural day according to the historical electricity consumption;
determining a reference stored electricity quantity of each user in a first time period of each future natural day according to the historical stored electricity quantity, the historical weather data and the future weather data;
transmitting a reference consumed power and a reference stored power to the power grid transaction server, wherein the reference consumed power and the reference stored power are used for instructing the power grid transaction server to execute the following operations: determining whether each user belongs to a first user type in a first time period of each future natural day, and sending first inquiry information to terminal equipment of each user in the first user type and second inquiry information to terminal equipment of each user in the second user type; scheduling the power supply condition of each user in the first area based on the terminal equipment of each user in the first user type and the reply information returned by the terminal equipment of each user in the second user type;
the method comprises the steps that the surplus electric quantity of each user in a first user type is larger than a preset threshold value, the surplus electric quantity of each user in a second user type is smaller than the preset threshold value, first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises the required electric quantity, the power utilization period and the power supply power of each user in the second user type, and the second inquiry information comprises the power supply price, the electric quantity interval and the power supply period of each user in the first user type.
The method comprises the steps that historical electricity consumption, historical stored electricity consumption, historical weather data and future weather data are obtained through an intelligent inverter, then, the intelligent inverter predicts and obtains reference electricity consumption of each user in a first time period of each future natural day according to the historical electricity consumption, the historical weather data and the future weather data, and meanwhile, predicts and obtains reference stored electricity of each user in the first time period of each future natural day according to the historical electricity consumption, the historical weather data and the future weather data, and the reference electricity consumption and the reference stored electricity are used for determining power supply conditions of each user in a first area. According to the power supply scheduling method, the reference power consumption and the reference storage power of each user in the first time period of each future natural day are predicted to determine the user type of each user in the first time period of each future natural day, and then the power supply condition of each user in the first area is scheduled based on the user type, so that the balance between the power consumption requirement and the power supply of the user in the first area is realized.
In one possible design, performing data processing on the historical power consumption of each user in the first time period of each historical nature day to obtain the accumulated power consumption of each user in the first time period of each historical nature day; and determining the reference consumed power of each user in the first time period of each future natural day according to the accumulated consumed power.
The electricity consumption of each user in the first time period of each future natural day is predicted so as to determine the electricity consumption requirement of each user in the first area in the first time period of each future natural day.
In another possible design, training a prediction model to be trained according to the historical stored electricity quantity and the historical weather data of each user in a first time period of each historical natural day to obtain a first model, wherein the first model is used for predicting the energy storage condition of the user; and inputting future weather data of each user in the first time period of each future natural day into the first model to obtain the reference stored electric quantity of each user in the first time period of each future natural day.
The power supply of each user in the first time period of each future natural day is determined by predicting a reference stored power of each user in the first time period of each future natural day.
In another possible design, the reply message includes a confirmation power supply message of the first target user in the first user type and a confirmation power consumption message of the second target user in the second user type, the confirmation power supply message is used for determining that the first target user supplies power to the second target user, the confirmation power consumption message is used for determining that the second target user uses power supplied by the first target user, and the confirmation power supply message and the confirmation power consumption message are used for instructing the power grid transaction server to generate confirmation transaction information of the first target user and the second target user; and receiving confirmation transaction information sent by the power grid transaction server, and executing grid-connected control according to the confirmation transaction information, wherein the grid-connected control is used for power supply scheduling of the first target user and the second target user.
And the grid-connected control is used for carrying out power supply scheduling on the first target user and the second target user, so that the balance between the power consumption requirements and the power supply of the first target user and the second target user in the first area is realized.
In another possible design, the local energy storage system of the first target user is integrated into the mains circuit through the power grid device according to the confirmation transaction information of the first target user and the second target user; and supplying power to the load equipment of the second target user through the local energy storage system of the first target user based on the mains supply loop.
The local energy storage system of the first target user is integrated into the mains supply loop, so that the local energy storage system of the first target user can supply power to the load equipment of the second target user, and the balance between the power consumption requirements and the power supply of the first target user and the second target user in the first area is realized.
In a second aspect, an embodiment of the present application provides a power supply scheduling method, which is applied to a power grid transaction server, where the power grid transaction server is communicatively connected with an intelligent inverter, a power grid device and a terminal device, and the method includes:
receiving reference electricity consumption and reference stored electricity consumption of each user in a first time period of each future natural day in a second natural day set, wherein the reference electricity consumption is determined according to the historical electricity consumption of each user in the first time period of each historical natural day in the first natural day set, the reference stored electricity consumption is determined according to the historical stored electricity consumption and historical weather data of each user in the first time period of each historical natural day, and the future weather data of each user in the first time period of each future natural day, the first natural day set comprises a plurality of historical natural days, and the second natural day set comprises at least one future natural day;
Determining whether each user belongs to a first user type in a first time period of each future natural day according to the reference consumed electric quantity and the reference stored electric quantity;
transmitting first inquiry information to terminal equipment of each user in the first user type and second inquiry information to terminal equipment of each user in the second user type, wherein the first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, the second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises required power quantity, power utilization period and power supply power of each user in the second user type, and the second inquiry information comprises power supply price, power quantity interval and power supply period of each user in the first user type;
receiving reply information returned by the terminal equipment of each user in the first user type and the terminal equipment of each user in the second user type, and scheduling the power supply condition of each user in the first area according to the reply information.
The method comprises the steps that reference consumed electric quantity and reference stored electric quantity sent by an intelligent inverter are received through a power grid transaction server, the power grid transaction server determines the user type of each user in a first time period of each future natural day according to the reference consumed electric quantity and the reference stored electric quantity, and then the power supply condition of each user in a first area is scheduled according to the user type. According to the power supply scheduling method, the user type of each user in the first time period is determined, and the power supply condition of each user in the first area is scheduled according to the reply information of each user, so that the balance between the power consumption requirement and the power supply of the user in the first area can be realized.
In one possible design, determining a surplus power of each user in a first time period of each future natural day based on the reference power consumption and the reference stored power of each user in the first time period of each future natural day; when the first surplus electric quantity in the surplus electric quantity is larger than a preset threshold value, determining that a user corresponding to the first surplus electric quantity belongs to a first user type; and when the first surplus electric quantity is smaller than a preset threshold value, determining that the user corresponding to the first surplus electric quantity belongs to the second user type.
The surplus electricity quantity of each user in the first time period of each future natural day is calculated so as to determine whether electricity demand and electricity supply of each user in the first area in the first time period of each future natural day are balanced.
In another possible design, the reply message includes a confirmation power supply message of the first target user in the first user type and a confirmation power consumption message of the second target user in the second user type, the confirmation power supply message is used for determining that the first target user supplies power to the second target user, and the confirmation power consumption message is used for determining that the second target user uses the power supply of the first target user; and generating confirmation transaction information of the first target user and the second target user according to the confirmation power supply information and the confirmation power consumption information, and sending the confirmation transaction information to the intelligent inverter, wherein the confirmation transaction information is used for indicating the intelligent inverter to execute grid-connected control.
And generating confirmation transaction information by receiving the confirmation power supply information of the first target user and the confirmation power consumption information of the second target user, wherein the confirmation transaction information is used for indicating the intelligent inverter to execute grid-connected control, so that the power supply condition of each user in the first area is scheduled.
In another possible design, a historical working period of the power grid equipment on each historical natural day is obtained; and determining a second time period of each future natural day according to the historical working time period, wherein the second time period is the time for scheduling the power supply condition of each user in the first area, and the power grid equipment is in an idle state in the second time period of each future natural day.
By predicting the second time period of the power grid equipment in each future natural day, the power grid equipment in an idle state can execute electric energy transaction between the first target user and the second target user, and power supply scheduling is further achieved.
In a third aspect, an embodiment of the present invention provides a power supply scheduling apparatus applied to an intelligent inverter, where the intelligent inverter is communicatively connected to a power grid transaction server, a power grid device, and a local energy storage system, and the apparatus includes:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring historical electricity consumption, historical storage electricity and historical weather data of each user in a first time period of each historical natural day in a first natural day set in a first area, and acquiring future weather data of each user in a first time period of each future natural day in a second natural day set, the first natural day set comprises a plurality of historical natural days, and the second natural day set comprises at least one future natural day;
The processing module is used for determining the reference consumed electric quantity of each user in the first time period of each future natural day according to the historical consumed electric quantity;
the processing module is also used for determining the reference storage electric quantity of each user in the first time period of each future natural day according to the historical storage electric quantity, the historical weather data and the future weather data;
the processing module is further configured to send a reference consumed power and a reference stored power to the power grid transaction server, where the reference consumed power and the reference stored power are used to instruct the power grid transaction server to perform the following operations: determining whether each user belongs to a first user type in a first time period of each future natural day, and sending first inquiry information to terminal equipment of each user in the first user type and second inquiry information to terminal equipment of each user in the second user type; scheduling the power supply condition of each user in the first area based on the terminal equipment of each user in the first user type and the reply information returned by the terminal equipment of each user in the second user type;
the method comprises the steps that the surplus electric quantity of each user in a first user type is larger than a preset threshold value, the surplus electric quantity of each user in a second user type is smaller than the preset threshold value, first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises the required electric quantity, the power utilization period and the power supply power of each user in the second user type, and the second inquiry information comprises the power supply price, the electric quantity interval and the power supply period of each user in the first user type.
In one possible design, the processing module is further configured to perform data processing on the historical power consumption of each user in the first period of each historical nature day, so as to obtain an accumulated power consumption of each user in the first period of each historical nature day; and determining the reference consumed power of each user in the first time period of each future natural day according to the accumulated consumed power.
In another possible design, the processing module is further configured to train the prediction model to be trained according to the historical storage power and the historical weather data of each user in the first time period of each historical natural day to obtain a first model, where the first model is used for predicting the energy storage condition of the user; and inputting future weather data of each user in the first time period of each future natural day into the first model to obtain the reference stored electric quantity of each user in the first time period of each future natural day.
In another possible design, the processing module is further configured to reply information including acknowledgement power supply information of the first target user in the first user type and acknowledgement power consumption information of the second target user in the second user type, where the acknowledgement power supply information is used to determine that the first target user supplies power to the second target user, the acknowledgement power consumption information is used to determine that the second target user uses power supplied by the first target user, and the acknowledgement power supply information and the acknowledgement power consumption information are used to instruct the power grid transaction server to generate acknowledgement transaction information of the first target user and the second target user; and receiving confirmation transaction information sent by the power grid transaction server, and executing grid-connected control according to the confirmation transaction information, wherein the grid-connected control is used for power supply scheduling of the first target user and the second target user.
In another possible design, the processing module is further configured to incorporate the local energy storage system of the first target user into the mains circuit through the power grid device according to the confirmation transaction information of the first target user and the second target user; and supplying power to the load equipment of the second target user through the local energy storage system of the first target user based on the mains supply loop.
The operations and beneficial effects executed by the power supply scheduling device may refer to the methods and beneficial effects described in the first aspect, and the repetition is not repeated.
In a fourth aspect, an embodiment of the present application provides a power supply scheduling device, which is applied to a power grid transaction server, where the power grid transaction server is communicatively connected with an intelligent inverter, a power grid device and a terminal device, and the device includes:
the system comprises a receiving module, a first storage module and a second storage module, wherein the receiving module is used for receiving reference consumed electricity and reference stored electricity of each user in a first time period of each future natural day in a second natural day set, the reference consumed electricity is determined according to the historical consumed electricity of each user in the first time period of each historical natural day in the first natural day set, the reference stored electricity is determined according to the historical stored electricity and historical weather data of each user in the first time period of each historical natural day, and the future weather data of each user in the first time period of each future natural day, the first natural day set comprises a plurality of historical natural days, and the second natural day set comprises at least one future natural day;
The processing module is used for determining whether each user belongs to a first user type in a first time period of each future natural day according to the reference consumed electric quantity and the reference stored electric quantity;
the processing module is further used for sending first inquiry information to the terminal equipment of each user in the first user type and sending second inquiry information to the terminal equipment of each user in the second user type, wherein the first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, the second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises the required power quantity, the power utilization period and the power supply power of each user in the second user type, and the second inquiry information comprises the power supply price, the power quantity interval and the power supply period of each user in the first user type;
the receiving module is also used for receiving the reply information returned by the terminal equipment of each user in the first user type and the terminal equipment of each user in the second user type;
and the processing module is also used for scheduling the power supply condition of each user in the first area according to the reply information.
In one possible design, the processing module is further configured to determine a surplus power of each user in the first time period of each future natural day according to the reference power consumption and the reference stored power of each user in the first time period of each future natural day; when the first surplus electric quantity in the surplus electric quantity is larger than a preset threshold value, determining that a user corresponding to the first surplus electric quantity belongs to a first user type; and when the first surplus electric quantity is smaller than a preset threshold value, determining that the user corresponding to the first surplus electric quantity belongs to the second user type.
In another possible design, the processing module is further configured to reply information including acknowledgement power supply information of the first target user in the first user type and acknowledgement power consumption information of the second target user in the second user type, where the acknowledgement power supply information is used to determine that the first target user supplies power to the second target user, and the acknowledgement power consumption information is used to determine that the second target user uses power supply of the first target user; and generating confirmation transaction information of the first target user and the second target user according to the confirmation power supply information and the confirmation power consumption information, and sending the confirmation transaction information to the intelligent inverter, wherein the confirmation transaction information is used for indicating the intelligent inverter to execute grid-connected control.
In another possible design, the receiving module is further configured to obtain a historical working period of the power grid device on each historical natural day.
In another possible design, the processing module is further configured to determine a second time period of each historical natural day according to the historical working time period, where the second time period is a time for scheduling a power supply condition of each user in the first area, and the power grid device is in an idle state in the second time period of each historical natural day.
The operations and beneficial effects performed by the power supply scheduling device may be referred to the methods and beneficial effects described in the second aspect, and the repetition is not repeated.
In a fifth aspect, an embodiment of the present application provides a power supply scheduling device, where the power supply scheduling device is applied to an intelligent inverter, and the power supply scheduling device includes: the device comprises a processor, a memory and a communication bus, wherein the communication bus is used for realizing connection communication between the processor and the memory, and the processor executes a program stored in the memory for realizing the steps of the first aspect.
In a sixth aspect, an embodiment of the present application provides a power supply scheduling device, where the power supply scheduling device is applied to a power grid transaction server, and the power supply scheduling device includes: the device comprises a processor, a memory and a communication bus, wherein the communication bus is used for realizing connection communication between the processor and the memory, and the processor executes a program stored in the memory for realizing the steps of the second aspect.
In a seventh aspect, the present application provides a computer readable storage medium having instructions stored therein which, when run on a computer, cause the computer to perform the methods of the above aspects.
In an eighth aspect, the present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the above aspects.
In a ninth aspect, embodiments of the present application provide a chip, including a processor configured to invoke from a memory and execute instructions stored in the memory, so that a smart inverter or grid transaction server on which the chip is installed performs the method of any of the above aspects.
In a tenth aspect, embodiments of the present application provide another chip, including: the input interface, the output interface, the processor, and optionally, a memory, where the input interface, the output interface, the processor, and the memory are connected by an internal connection path, the processor is configured to execute a code in the memory, and when the code is executed, the processor is configured to execute a method in any of the foregoing aspects.
In an eleventh aspect, embodiments of the present application provide a power supply scheduling system, which includes at least one intelligent inverter for performing the steps in the first aspect and at least one grid transaction server for performing the steps in the second aspect.
Drawings
In order to more clearly describe the technical solutions in the embodiments or the background of the present application, the following description will describe the drawings that are required to be used in the embodiments or the background of the present application.
Fig. 1 is a schematic structural diagram of a power supply scheduling system according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a power supply scheduling method provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a power supply scheduling device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another power supply scheduling device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an intelligent inverter according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a power grid transaction server according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described below with reference to the accompanying drawings in the embodiments of the present application.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a power supply scheduling system according to an embodiment of the present application. The power supply scheduling method is suitable for the power supply scheduling system, and the power supply scheduling system comprises an intelligent inverter 101 and a power grid transaction server 102. Specifically, the intelligent inverter 101 is in connection communication with the power grid transaction server 102 and the power grid device, the power grid transaction server 102 is in connection communication with the intelligent inverter 101, the power grid device and the terminal device, the power grid device is in connection communication with the local energy storage system, and the connection communication is used for transmitting command and/or data signals. Wherein the detailed description of each module is as follows.
An intelligent inverter 101 for acquiring historical power consumption, historical power storage and historical weather data of each user in a first time period of each historical natural day in a first natural day set, and acquiring future weather data of each user in a first time period of each future natural day in a second natural day set; determining the reference electricity consumption of each user in the first time period of each future natural day according to the historical electricity consumption; determining a reference stored electricity quantity of each user in a first time period of each future natural day according to the historical stored electricity quantity, the historical weather data and the future weather data; and sending the reference consumed power and the reference stored power to a power grid transaction server.
Wherein the first set of natural days comprises a plurality of historical natural days and the second set of natural days comprises at least one future natural day.
In the embodiment of the application, the reference consumed power and the reference stored power are used for instructing the grid transaction server to execute the following operations: determining whether each user belongs to a first user type in a first time period of each future natural day, and sending first inquiry information to terminal equipment of each user in the first user type and second inquiry information to terminal equipment of each user in a second user type; and scheduling the power supply condition of each user in the first area based on the reply information returned by the terminal equipment of each user in the first user type and the terminal equipment of each user in the second user type.
The method comprises the steps that the surplus electric quantity of each user in a first user type is larger than a preset threshold value, the surplus electric quantity of each user in a second user type is smaller than the preset threshold value, first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises the required electric quantity, the power utilization period and the power supply power of each user in the second user type, and the second inquiry information comprises the power supply price, the electric quantity interval and the power supply period of each user in the first user type.
It should be understood that, in the embodiment of the present application, the intelligent inverter 101 may also be used to perform the steps or functions implemented by the intelligent inverter in the power supply scheduling method provided in the present application, and specific reference should be made to the corresponding descriptions hereinafter, which will not be specifically described herein.
Alternatively, the intelligent inverter 101 may refer broadly to one of a plurality of intelligent inverters, and the embodiments herein are illustrated with intelligent inverter 101 only. The intelligent inverter may be used by a user in a first area or two intelligent inverters may be used by a user in different areas, and the number of intelligent inverters may be greater or lesser. For example, the number of the intelligent inverters is several or several tens, or more, and the number and the device type of the intelligent inverters are not limited in the embodiments of the present application.
The grid transaction server 102 is configured to receive a reference power consumption and a reference stored power consumption of each user in a first period of each future natural day in the second natural day set, where the reference power consumption is determined according to a historical power consumption of each user in the first period of each historical natural day in the first natural day set, and the reference stored power is determined according to a historical stored power and historical weather data of each user in the first period of each historical natural day, and a future weather data of each user in the first period of each future natural day, which are sent by the intelligent inverter; determining whether each user belongs to a first user type in a first time period of each future natural day according to the reference consumed electric quantity and the reference stored electric quantity; sending first inquiry information to the terminal equipment of each user in the first user type and sending second inquiry information to the terminal equipment of each user in the second user type; receiving reply information returned by the terminal equipment of each user in the first user type and the terminal equipment of each user in the second user type; and scheduling the power supply condition of each user in the first area according to the reply information.
It should be understood that, in the embodiment of the present application, the power grid transaction server 102 may also be used to perform the steps or functions implemented by the power grid transaction server in the power supply scheduling method provided in the present application, and specific reference should be made to the corresponding descriptions hereinafter, which will not be specifically described herein.
The intelligent inverter 101 and the grid transaction server 102 can establish communication connection through a wired network, and can also establish communication connection through a wireless network.
It should be noted that, the power supply scheduling system may be a system that interacts with a user, and this system may be a software system, a hardware system, or a system that combines software and hardware, which is not limited in this application specifically. It should be further noted that fig. 1 is merely an exemplary schematic diagram illustrating a power supply scheduling system, and in practical application, the power supply scheduling system of fig. 1 may be changed correspondingly according to specific situations.
Referring to fig. 2, fig. 2 is a flow chart of a power supply scheduling method provided in an embodiment of the present application, where the method is applicable to the power supply scheduling system shown in fig. 1, and is specifically implemented by interaction between an intelligent inverter 101 and a grid transaction server 102 in the system. The method includes, but is not limited to, the steps of:
Step S201: the intelligent inverter obtains historical power consumption, historical storage power and historical weather data of each user in a first area in a first time period of each historical natural day in the first natural day set, and obtains future weather data of each user in a first time period of each future natural day in the second natural day set.
Wherein the first set of natural days comprises a plurality of historical natural days and the second set of natural days comprises at least one future natural day.
Specifically, the intelligent inverter obtains, through the power grid device, historical power consumption of each user in a first period of a plurality of historical natural days, obtains, through the local energy storage system, historical stored power of each user in the first period of the plurality of historical natural days, and obtains historical weather data of each user in the first period of the plurality of historical natural days and future weather data of each user in the first period of at least one future natural day.
It should be noted that, the first area in the embodiment of the present application may be any area where the energy storage system is applied, and the first period in the embodiment of the present application may be any period of time in a day.
Alternatively, the first period may be any period of time in a certain day, or any period of time in a certain period of time, for example, the first period may be 10:00-13:00 from monday to thursday in a week.
In the embodiment of the application, the intelligent inverter acquires and counts the historical power consumption condition, the historical energy storage condition and the historical weather condition of each user in the first area in the target period of a plurality of historical natural days, and acquires the future weather condition of each user in the target period of at least one future natural day.
For example, the first area is a community A to which the energy storage system is applied, the first natural day set includes 7 historical natural days, the second natural day set includes 1 future natural day, the first time period is 12:00-17:00, the intelligent inverter obtains and counts historical electricity consumption, historical energy storage and historical weather data of each resident in the community A in 12:00-17:00 of the 7 historical natural days, and obtains and counts future weather data of each resident in the community A in 12:00-17:00 of the 1 future natural days.
Step S202: the intelligent inverter determines a reference power consumption of each user in a first time period of each future natural day according to the historical power consumption.
Specifically, performing data processing on the historical power consumption of each user in the first time period of each historical natural day to obtain the accumulated power consumption of each user in the first time period of each historical natural day; and determining the reference consumed power of each user in the first time period of each future natural day according to the accumulated consumed power.
In the embodiment of the application, the historical electricity consumption of each user in the first time period of each historical natural day is used as an original data sequence of each user, an accumulated generation value of the original data sequence of each user is calculated to obtain the accumulated electricity consumption of each user in the first time period of each historical natural day, the accumulated electricity consumption is used as an accumulated generation sequence of each user, the accumulated generation sequence of each user is input into a trained gray prediction model, and the reference electricity consumption of each user in the first time period of each future natural day is obtained.
In one embodiment, the first natural day set includes monday through friday of a certain week, the second natural day set includes friday of a certain week, the intelligent inverter obtains and counts the historical consumption electric quantity of the user a from 12:00 to 17:00 of friday of monday to 4 degrees, 7 degrees, 10 degrees and 6 degrees respectively, the historical consumption electric quantity of the user a from 12:00 to 17:00 of friday is taken as an original data sequence of the user a, and the original data sequence of the user a satisfies:
Then, calculating the accumulated generated value of the original data sequence of the user A, wherein the specific process comprises the following steps:
further, the accumulated sequence of user a satisfies:
in the embodiment, a trained gray prediction model is input into an accumulation generation sequence of the user A, and reference electricity consumption of the user A in Saturday 12:00-17:00 is predicted.
Alternatively, the gray prediction model may be replaced with other algorithms, such as a K Nearest Neighbor (KNN) classification algorithm.
Step S203: the intelligent inverter determines a reference stored electricity quantity of each user in a first time period of each future natural day according to the historical stored electricity quantity, the historical weather data and the future weather data.
Specifically, according to the historical storage electric quantity and the historical weather data of each user in a first time period of each historical natural day, training a prediction model to be trained to obtain a first model, wherein the first model is used for predicting the energy storage condition of the user; and inputting future weather data of each user in the first time period of each future natural day into the first model to obtain the reference stored electric quantity of each user in the first time period of each future natural day.
In the embodiment of the application, the historical storage electric quantity of each user in the first time period of each historical natural day and the historical weather data of the first time period are input into a BP (back propagation) neural network to be trained, in the training process, the neuron parameters of each layer are modified according to errors, when the output errors reach the minimum, a trained BP neural network prediction model is obtained, then future weather data of the first time period of at least one future natural day is input into the trained BP neural network prediction model, and the reference storage electric quantity of each user in the first time period of at least one future natural day is obtained.
Alternatively, the BP neural network may be replaced with other variant models, such as a gray neural network model.
Step S204: the intelligent inverter sends the reference consumed power and the reference stored power to the power grid transaction server.
Step S205: the power grid transaction server determines whether each user belongs to the first user type in a first time period of each future natural day according to the reference consumed power and the reference stored power.
Specifically, the power grid transaction server receives the reference consumed power and the reference stored power of each user in the first time period of each future natural day, which are sent by the intelligent inverter, then subtracts the reference consumed power of each user in the first time period of each future natural day from the reference stored power of each user in the first time period of each future natural day to obtain the surplus power of each user in the first time period of each future natural day, and determines the user type of each user in the first time period of each future natural day according to the surplus power of each user in the first time period of each future natural day.
In the embodiment of the application, when a first surplus electric quantity in the surplus electric quantities is larger than a preset threshold value, determining that a user corresponding to the first surplus electric quantity belongs to a first user type; and when the first surplus electric quantity is smaller than a preset threshold value, determining that the user corresponding to the first surplus electric quantity belongs to the second user type.
Wherein the preset threshold is an empirical parameter obtained by the skilled person through a number of practices.
It should be noted that, the first surplus electricity quantity in the embodiment of the present application may be used to indicate any one of the surplus electricity quantities of each user in the first period of each future natural day, without order division.
In one embodiment, the first natural day set includes 3 months 1 day to 3 months 6 days, the second natural day set includes 3 months 7 days, the historical electricity consumption of 10:00 to 16:00 of the user B in 3 months 1 day to 3 months 6 days is input into a trained gray prediction model to obtain 11 degrees of reference electricity consumption of 10:00 to 16:00 of the user B in 3 months 7 days, future weather data of 10:00 to 16:00 of the user B in 3 months 7 days is input into a trained BP neural network prediction model to obtain 12 degrees of reference electricity storage of 10:00 to 16:00 of the user B in 3 months 7 days, the reference electricity consumption of 11 degrees is subtracted from the 12 degrees of reference electricity storage to obtain 1 degree of surplus electricity consumption of 10:00 to 16:00 of the user B in 3 months 7 days, and if a preset threshold is larger than 1 degree, the user B is determined to belong to a second user type, namely the electricity consumption of 10:00 to 16:00 of the user B in 3 months 7 days is larger than the supplied electricity consumption; if the preset threshold is smaller than 1 degree, it is determined that the user B belongs to the first user type, namely the electricity consumption requirement of the user B in 10:00-16:00 of 3 months and 7 days is smaller than the electricity supply.
Step S206: the grid transaction server sends first inquiry information to the terminal equipment of each user in the first user type and sends second inquiry information to the terminal equipment of each user in the second user type.
The first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, the second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises the required power quantity, the power utilization period and the power supply power of each user in the second user type, and the second inquiry information comprises the power supply price, the power quantity interval and the power supply period of each user in the first user type.
Step S207: and the power grid transaction server receives reply information returned by the terminal equipment of each user in the first user type and the terminal equipment of each user in the second user type.
Specifically, each user in the first user type receives first inquiry information sent by the power grid transaction server through the terminal equipment, knows the required electric quantity, the electricity consumption period and the power supply power of each user in the second user type, and sends reply information to the power grid transaction server; meanwhile, each user in the second user type receives second inquiry information sent by the power grid transaction server through the terminal equipment, knows the power supply price, the electric quantity interval and the power supply period of each user in the first user type, and sends reply information to the power grid transaction server.
The reply information comprises confirmation power supply information of a first target user in the first user type and confirmation power consumption information of a second target user in the second user type, wherein the confirmation power supply information is used for determining that the first target user supplies power for the second target user, and the confirmation power consumption information is used for determining that the second target user uses power supply of the first target user.
It should be noted that, the first target user in the embodiment of the present application may be any one or more users in the first user type, and the second target user in the embodiment of the present application may be any one or more users in the second user type.
In one embodiment, user 1 is a first target user and user 2 is a second target user, user 1 selecting to power user 2 while user 2 selects to use the power of user 1.
In another embodiment, user 1 is a first target user, user 2 and user 3 are both second target users, user 1 chooses to power user 2 and user 3, and user 2 and user 3 choose to use user 1's power.
Optionally, the reply message may further include power rejection information or power confirmation information of other users in the first user type except the first target user.
For example, user 4 is the other user in the first user type than the first target user, user 5 is any user in the second user type, user 4 may choose not to power the other user, user 4 may choose to power user 5, but user 5 does not choose to use the power of user 4.
Optionally, the reply message may further include power rejection information or power confirmation information of other users in the second user type except the first target user.
For example, user 6 is a user other than the second target user in the second user type, user 7 is any user in the first user type, user 6 may choose not to use the power of the other user, user 6 may choose to use the power of user 7, but user 7 does not choose to power user 6.
Step S208: and the power grid transaction server dispatches the power supply condition of each user in the first area according to the reply information.
Specifically, the power grid transaction server generates confirmation transaction information of the first target user and the second target user according to the confirmation power supply information of the first target user and the confirmation power consumption information of the first target user, and sends the confirmation transaction information to the intelligent inverter, wherein the confirmation transaction information is used for indicating the intelligent inverter to execute grid connection control.
In the embodiment of the application, the power grid transaction server determines that the first target user supplies power for the second target user and that the second target user uses the power supplied by the first target user, generates confirmation transaction information of the first target user and the second target user, and sends the confirmation transaction information to the intelligent inverter.
The confirmation transaction information comprises the price and the electric quantity of the electric quantity transaction between the first target user and the second target user.
Further, the intelligent inverter receives confirmation transaction information sent by the power grid transaction server, and performs grid-connected control according to the confirmation transaction information, wherein the grid-connected control is used for power supply scheduling of the first target user and the second target user.
In the embodiment of the application, the intelligent inverter incorporates the local energy storage system of the first target user into the mains supply loop through the power grid equipment according to the confirmation transaction information of the first target user and the second target user, and then supplies power to the load equipment of the second target user through the local energy storage system of the first target user based on the mains supply loop.
It should be noted that, in the embodiment of the present application, the scheduling means that the power grid transaction server matches the transaction order for the first user type (i.e. the supply end user) and the second user type (i.e. the demand end user), and after both sides confirm, the transaction and the electric energy transfer are started.
Optionally, the power grid transaction server may further obtain a historical working period of the power grid device on each historical natural day, and determine a second period of time of each future natural day according to the historical working period, where the second period of time is a time for scheduling a power supply condition of each user in the first area, and the power grid device is in an idle state in the second period of time of each future natural day.
It should be noted that, the second period of time in the embodiments of the present application may be any period of time in which the power grid device is in an idle state in one day.
Optionally, the second period may be any period of time when the power grid device is in an idle state within a certain period of time, or any period of time when the power grid device is in an idle state within a certain period of time, for example, the second period of time may be 3:00-6:00 of monday to friday, and then the power grid device is in an idle state within the period of 3:00-6:00 of monday to friday.
Alternatively, the period of power supply in the first query may be a second period of time, and the grid transaction server queries each user in the first user type for confirmation of power supply during the second period of time for each future natural day, and queries each user in the second user type for confirmation of power usage during the second period of time for each future natural day.
For example, the power grid device is in an idle state from 17:00 to 20:00 of monday to friday in one week, the power grid transaction server sends first query information to the first user, queries whether the first user confirms power supply from 17:00 to 20:00 of monday to friday in the week, and sends second query information to the second user, and queries whether the second user confirms power consumption from 17:00 to 20:00 of monday to friday in the week.
In one embodiment, the power grid equipment is in an idle state at 18:00-22:00 of 5 months and 4 days, the user C belongs to a first target user, the user D belongs to a second target user, the power grid transaction server sends information such as required power, power supply and the like of each user at 18:00-22:00 of 5 months and 4 days to the terminal equipment of the user C, the power grid transaction server sends information such as power supply price, power interval and the like of each user at 18:00-22:00 of 5 months and 4 days to the terminal equipment of the user D, if the user C sends information confirming power transaction with the user D to the power grid transaction server through the terminal equipment, and the user D sends information confirming power transaction with the user C to the power grid transaction server through the terminal equipment, the power grid transaction server determines that the user C carries out power transaction with the user D and generates a transaction order between the user C and the user D, the transaction server generates confirmation transaction information based on the transaction order, the transaction information comprises the power storage power of the user C at 18:00-22:00 of the power grid at 5 months and 4 days and the power grid transaction server at 18:00-22:00 of the power storage and the power grid system at the power storage system, and the power storage of the power grid system is fed back to the smart power grid system at 18:00-22:00 of the power to the power grid system at the power month and 4 days and 4:00-22:00, and the smart power storage system is confirmed to the smart power grid system is based on the power storage system at the power storage state of the power grid transaction server is needed between the user C and the user D is generated.
Acquiring historical electricity consumption, historical stored electricity consumption, historical weather data and future weather data through an intelligent inverter, predicting to obtain reference electricity consumption of each user in a first time period of each future natural day according to the historical electricity consumption, and predicting to obtain reference electricity storage of each user in the first time period of each future natural day according to the historical electricity consumption, the historical weather data and the future weather data; and the power grid transaction server determines the power supply condition of each user in the first area on each future natural day according to the reference consumed power and the reference stored power. According to the power supply scheduling method, the power supply condition of each user in the first area is scheduled by predicting the user type of each user in the first time period of each future natural day, so that the balance between the power consumption requirement and the power supply of the user in the first area is realized.
The foregoing details of the method of embodiments of the present application and the following description of the apparatus provided by embodiments of the present application.
As shown in fig. 3, fig. 3 is a schematic structural diagram of a power supply scheduling device according to an embodiment of the present application. The power supply scheduling device may be a smart inverter, or a chip or processing system in a smart inverter, which may be used to implement any of the methods and functions related to a smart inverter in any of the foregoing embodiments, and may include a first receiving module 301, a first transmitting module 302, and a first processing module 303. Wherein the detailed description of each module is as follows.
The first receiving module 301 is configured to obtain a historical power consumption, a historical stored power and historical weather data of each user in a first area during a first period of each historical natural day in a first natural day set, and obtain future weather data of each user during a first period of each future natural day in a second natural day set, where the first natural day set includes a plurality of historical natural days, and the second natural day set includes at least one future natural day.
The first processing module 303 is configured to determine, according to the historical power consumption, a reference power consumption of each user in a first period of each future natural day.
The first processing module 303 is further configured to determine a reference stored power level of each user during a first time period of each future natural day according to the historical stored power level, the historical weather data, and the future weather data.
The first sending module 302 is configured to send, to the power grid transaction server, a reference consumed power and a reference stored power, where the reference consumed power and the reference stored power are used to instruct the power grid transaction server to perform the following operations: determining whether each user belongs to a first user type in a first time period of each future natural day, and sending first inquiry information to terminal equipment of each user in the first user type and second inquiry information to terminal equipment of each user in the second user type; and scheduling the power supply condition of each user in the first area based on the reply information returned by the terminal equipment of each user in the first user type and the terminal equipment of each user in the second user type.
The method comprises the steps that the surplus electric quantity of each user in a first user type is larger than a preset threshold value, the surplus electric quantity of each user in a second user type is smaller than the preset threshold value, first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises the required electric quantity, the power utilization period and the power supply power of each user in the second user type, and the second inquiry information comprises the power supply price, the electric quantity interval and the power supply period of each user in the first user type.
It should be noted that, the reply information includes confirmation power supply information of the first target user in the first user type and confirmation power consumption information of the second target user in the second user type, the confirmation power supply information is used for determining that the first target user supplies power to the second target user, the confirmation power consumption information is used for determining that the second target user uses power supplied by the first target user, and the confirmation power supply information and the confirmation power consumption information are used for indicating the power grid transaction server to generate confirmation transaction information of the first target user and the second target user.
Optionally, the first processing module 303 is further configured to perform data processing on the historical power consumption of each user in the first period of each historical nature day, so as to obtain an accumulated power consumption of each user in the first period of each historical nature day; and determining the reference consumed power of each user in the first time period of each future natural day according to the accumulated consumed power.
Optionally, the first processing module 303 is further configured to train the prediction model to be trained according to the historical stored electricity quantity and the historical weather data of each user in the first time period of each historical natural day, so as to obtain a first model, where the first model is used for predicting the energy storage condition of the user; and inputting future weather data of each user in the first time period of each future natural day into the first model to obtain the reference stored electric quantity of each user in the first time period of each future natural day.
Optionally, the first receiving module 301 is further configured to receive confirmation transaction information sent by the grid transaction server.
Optionally, the first processing module 303 is further configured to perform grid-connected control according to the transaction confirmation information, where the grid-connected control is used for power supply scheduling of the first target user and the second target user.
Optionally, the first processing module 303 is further configured to incorporate, by the power grid device, the local energy storage system of the first target user into the mains circuit according to the confirmation transaction information of the first target user and the second target user; and supplying power to the load equipment of the second target user through the local energy storage system of the first target user based on the mains supply loop.
As shown in fig. 4, fig. 4 is a schematic structural diagram of another power supply scheduling device according to an embodiment of the present application. The power supply scheduling device may be a grid trade server, or a chip or processing system in a grid trade server, which may be used to implement any of the methods and functions related to a grid trade server in any of the foregoing embodiments, which may include a second receiving module 401, a second sending module 402, and a second processing module 403. Wherein the detailed description of each module is as follows.
The second receiving module 401 is configured to receive a reference power consumption and a reference stored power consumption of each user in a first period of each future natural day in the second natural day set, where the reference power consumption is determined according to a historical power consumption of each user in a first period of each historical natural day in the first natural day set, the reference stored power is determined according to a historical stored power and historical weather data of each user in the first period of each historical natural day, and future weather data of each user in the first period of each future natural day, the first natural day set includes a plurality of historical natural days, and the second natural day set includes at least one future natural day.
The second processing module 403 is configured to determine whether each user belongs to a first user type in a first period of each future natural day according to the reference consumed power and the reference stored power, where the user types include a first user and a second user.
A second sending module 402, configured to send first query information to a terminal device of each user in the first user type and send second query information to a terminal device of each user in the second user type, where the first query information is used to query whether each user in the first user type confirms power supply, and the second query information is used to query whether each user in the second user type confirms power consumption, and the first query information includes a required power amount, a power consumption period, and a power supply power of each user in the second user type, and the second query information includes a power supply price, a power amount interval, and a power supply period of each user in the first user type.
The second receiving module 401 is further configured to receive reply information returned by the terminal device of each user in the first user type and the terminal device of each user in the second user type.
The reply information comprises confirmation power supply information of a first target user in the first user type and confirmation power consumption information of a second target user in the second user type, wherein the confirmation power supply information is used for determining that the first target user supplies power for the second target user, and the confirmation power consumption information is used for determining that the second target user uses power supply of the first target user.
The second processing module 403 is further configured to schedule a power supply situation of each user in the first area according to the reply information.
Optionally, the second processing module 403 is further configured to determine, according to the reference power consumption and the reference stored power of each user in the first period of each future natural day, a surplus power of each user in the first period of each future natural day; when the first surplus electric quantity in the surplus electric quantity is larger than a preset threshold value, determining that a user corresponding to the first surplus electric quantity belongs to a first user type; and when the first surplus electric quantity is smaller than a preset threshold value, determining that the user corresponding to the first surplus electric quantity belongs to the second user type.
Optionally, the second receiving module 401 is further configured to receive acknowledgement power supply information sent by the terminal device of the first user and acknowledgement power consumption information sent by the terminal device of the second user.
Optionally, the second processing module 403 is further configured to generate confirmation transaction information of the first target user and the second target user according to the confirmation power supply information and the confirmation power consumption information.
Optionally, the second sending module 402 is further configured to send confirmation transaction information to the intelligent inverter, where the confirmation transaction information is used to instruct the intelligent inverter to perform grid-connected control.
Optionally, the second receiving module 401 is further configured to obtain a historical working period of the power grid device on each historical natural day.
Optionally, the second processing module 403 is further configured to determine a second time period of each future natural day according to the historical working time period, where the second time period is a time for scheduling a power supply condition of each user in the first area, and the power grid device is in an idle state in the second time period of each future natural day.
As shown in fig. 5, fig. 5 is a schematic structural diagram of an intelligent inverter according to an embodiment of the present application. The intelligent inverter may include: at least one first processor 501, at least one first transceiver 502, at least one first memory 503, and at least one first communication bus 504.
The first processor 501 may be a central processing unit (central processing unit, CPU), general purpose processor, digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a digital signal processor and a microprocessor, and so forth.
The first transceiver 502 is used for communication of signaling or data with other node devices.
The first memory 503 may include volatile memory, such as nonvolatile dynamic random access memory (nonvolatile random access memory, NVRAM), phase change random access memory (PRAM), magnetoresistive Random Access Memory (MRAM), etc., and may further include nonvolatile memory, such as at least one magnetic disk storage device, electrically erasable programmable read only memory (electrically erasable programmable read-only memory, EEPROM), flash memory device, such as flash memory (NOR flash memory) or flash memory (NAND flash memory), semiconductor device, such as Solid State Disk (SSD), etc.
The first communication bus 504 may be a peripheral component interconnect standard PCI bus or an extended industry standard architecture EISA bus or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus. The first communication bus 504 is used to enable connection communications between these components.
Alternatively, the first processor 501 may execute a program stored in the first memory 503.
Optionally, the first memory 503 may also be at least one storage device located remotely from the first processor 501.
Optionally, a set of program codes may also be stored in the first memory 503.
The first processor 501 in the apparatus reads the program code stored in the first memory 503 for performing the following operations:
acquiring historical electricity consumption, historical stored electricity and historical weather data of each user in a first time period of each historical natural day in a first natural day set in a first area, and acquiring future weather data of each user in a first time period of each future natural day in a second natural day set, wherein the first natural day set comprises a plurality of historical natural days, and the second natural day set comprises at least one future natural day;
determining the reference electricity consumption of each user in the first time period of each future natural day according to the historical electricity consumption;
determining a reference stored electricity quantity of each user in a first time period of each future natural day according to the historical stored electricity quantity, the historical weather data and the future weather data;
Transmitting a reference consumed power and a reference stored power to the power grid transaction server, wherein the reference consumed power and the reference stored power are used for instructing the power grid transaction server to execute the following operations: determining whether each user belongs to a first user type in a first time period of each future natural day, and sending first inquiry information to terminal equipment of each user in the first user type and second inquiry information to terminal equipment of each user in the second user type; scheduling the power supply condition of each user in the first area based on the terminal equipment of each user in the first user type and the reply information returned by the terminal equipment of each user in the second user type;
the method comprises the steps that the surplus electric quantity of each user in a first user type is larger than a preset threshold value, the surplus electric quantity of each user in a second user type is smaller than the preset threshold value, first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises the required electric quantity, the power utilization period and the power supply power of each user in the second user type, and the second inquiry information comprises the power supply price, the electric quantity interval and the power supply period of each user in the first user type.
Optionally, the first processor 501 is further configured to perform the following operations:
performing data processing on the historical power consumption of each user in the first time period of each historical natural day to obtain the accumulated power consumption of each user in the first time period of each historical natural day; and determining the reference consumed power of each user in the first time period of each future natural day according to the accumulated consumed power.
Optionally, the first processor 501 is further configured to perform the following operations:
according to the historical storage electric quantity and the historical weather data of each user in the first time period of each historical natural day, training a prediction model to be trained to obtain a first model, wherein the first model is used for predicting the energy storage condition of the user; and inputting future weather data of each user in the first time period of each future natural day into the first model to obtain the reference stored electric quantity of each user in the first time period of each future natural day.
Optionally, the first processor 501 is further configured to perform the following operations:
the reply information comprises confirmation power supply information of a first target user in the first user type and confirmation power consumption information of a second target user in the second user type, wherein the confirmation power supply information is used for determining that the first target user supplies power for the second target user, the confirmation power consumption information is used for determining that the second target user uses power supply of the first target user, and the confirmation power supply information and the confirmation power consumption information are used for indicating a power grid transaction server to generate confirmation transaction information of the first target user and the second target user;
And receiving confirmation transaction information sent by the power grid transaction server, and executing grid-connected control according to the confirmation transaction information, wherein the grid-connected control is used for power supply scheduling of the first target user and the second target user.
Optionally, the first processor 501 is further configured to perform the following operations:
according to the confirmation transaction information of the first target user and the second target user, the local energy storage system of the first target user is integrated into a mains supply loop through the power grid equipment; and supplying power to the load equipment of the second target user through the local energy storage system of the first target user based on the mains supply loop.
Wherein the first processor 501 may cooperate with the first memory 503 and the first transceiver 502 to perform any of the methods and functions of the intelligent inverter in the embodiments of the application described above.
Fig. 6 is a schematic structural diagram of a power grid transaction server according to an embodiment of the present application, as shown in fig. 6. The grid trading server may include: at least one second processor 601, at least one second transceiver 602, at least one second memory 603 and at least one second communication bus 604.
The second processor 601 may be various types of processors mentioned previously.
The second transceiver 602 is used for communication of signaling or data with other node devices.
The second memory 603 may be various types of memories mentioned previously.
The second communication bus 604 may be a peripheral component interconnect standard PCI bus or an extended industry standard architecture EISA bus or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus. A second communication bus 604 is used to enable connected communications between these components.
Alternatively, the second processor 601 may execute a program stored in the second memory 603.
Optionally, the second memory 603 may also be at least one storage device located remotely from the second processor 601.
Optionally, a set of program codes may also be stored in the second memory 603.
The second processor 601 in the apparatus reads the program code stored in the second memory 603 for performing the following operations:
receiving reference electricity consumption and reference stored electricity consumption of each user in a first time period of each future natural day in a second natural day set, wherein the reference electricity consumption is determined according to the historical electricity consumption of each user in the first time period of each historical natural day in the first natural day set, and the reference stored electricity is determined according to the historical stored electricity consumption and historical weather data of each user in the first time period of each historical natural day and the future weather data of each user in the first time period of each future natural day;
Determining whether each user belongs to a first user type in a first time period of each future natural day according to the reference consumed electric quantity and the reference stored electric quantity;
transmitting first inquiry information to terminal equipment of each user in the first user type and second inquiry information to terminal equipment of each user in the second user type, wherein the first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, the second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises required power quantity, power utilization period and power supply power of each user in the second user type, and the second inquiry information comprises power supply price, power quantity interval and power supply period of each user in the first user type;
receiving reply information returned by the terminal equipment of each user in the first user type and the terminal equipment of each user in the second user type, and scheduling the power supply condition of each user in the first area according to the reply information.
Optionally, the second processor 601 is further configured to perform the following operations:
determining surplus electric quantity of each user in the first time period of each future natural day according to the reference electric quantity consumed by each user in the first time period of each future natural day and the reference stored electric quantity; when the first surplus electric quantity in the surplus electric quantity is larger than a preset threshold value, determining that a user corresponding to the first surplus electric quantity belongs to a first user type; and when the first surplus electric quantity is smaller than a preset threshold value, determining that the user corresponding to the first surplus electric quantity belongs to the second user type.
Optionally, the second processor 601 is further configured to perform the following operations:
the reply information comprises confirmation power supply information of a first target user in the first user type and confirmation power consumption information of a second target user in the second user type, wherein the confirmation power supply information is used for determining that the first target user supplies power for the second target user, and the confirmation power consumption information is used for determining that the second target user uses power supply of the first target user;
and generating confirmation transaction information of the first target user and the second target user according to the confirmation power supply information and the confirmation power consumption information, and sending the confirmation transaction information to the intelligent inverter, wherein the confirmation transaction information is used for indicating the intelligent inverter to execute grid-connected control.
Optionally, the second processor 601 is further configured to perform the following operations:
acquiring a historical working time period of power grid equipment on each historical natural day; and determining a second time period of each future natural day according to the historical working time period, wherein the historical working time period is transmitted by the power grid equipment, and the power grid equipment is in an idle state in the second time period of each future natural day.
The embodiment of the application also provides a chip system, which comprises a processor and is used for supporting the intelligent inverter or the power grid transaction server to realize the functions related in any embodiment. In one possible design, the system-on-chip may further include a memory for program instructions and data necessary for the intelligent inverter or the grid transaction server. The chip system can be composed of chips, and can also comprise chips and other discrete devices.
Embodiments of the present application also provide a processor, coupled to the memory, for performing any of the methods and functions of any of the embodiments described above involving a smart inverter or grid transaction server.
Embodiments of the present application also provide a computer program product containing instructions that, when run on a computer, cause the computer to perform any of the methods and functions of any of the embodiments described above involving a smart inverter or grid transaction server.
The embodiment of the application also provides a power supply scheduling device, which is used for executing any method and function related to the intelligent inverter or the power grid transaction server in any embodiment.
The embodiment of the application also provides a power supply dispatching system which comprises at least one intelligent inverter and at least one power grid transaction server, wherein the intelligent inverter and the power grid transaction server are related to any embodiment.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), etc.
It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone.
It should be understood that in the embodiments of the present application, "B corresponding to a" means that B is associated with a, from which B may be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may also determine B from a and/or other information.
The term "plurality" as used in the embodiments herein refers to two or more.
The first, second, etc. descriptions in the embodiments of the present application are only used for illustrating and distinguishing the description objects, and no order division is made, nor is the number of the description objects in the embodiments of the present application specified, and no limitation in the embodiments of the present application should be construed.
It will be understood that in the embodiments of the present application, the terminal device and/or the voice server may perform some or all of the steps in the embodiments of the present application, these steps or operations are merely examples, and in the embodiments of the present application, other operations or variations of various operations may also be performed. Furthermore, the various steps may be performed in a different order presented in accordance with embodiments of the present application, and it is possible that not all of the operations in the embodiments of the present application may be performed.
The above embodiments are further described in detail for the purposes, technical solutions and advantageous effects of the present application. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application should be included in the protection scope of the present application.

Claims (10)

1. A power supply scheduling method, characterized by being applied to an intelligent inverter, wherein the intelligent inverter is in communication connection with a power grid transaction server and power grid equipment, and the power grid equipment is in communication connection with a local energy storage system, the method comprising:
acquiring historical electricity consumption, historical stored electricity and historical weather data of each user in a first region in a first time period of each historical natural day in a first natural day set, and acquiring future weather data of each user in a first time period of each future natural day in a second natural day set, wherein the first natural day set comprises a plurality of historical natural days, and the second natural day set comprises at least one future natural day;
determining the reference power consumption of each user in the first time period of each future natural day according to the historical power consumption;
determining a reference stored electricity quantity of each user in a first time period of each future natural day according to the historical stored electricity quantity, the historical weather data and the future weather data;
Transmitting the reference consumed power and the reference stored power to the power grid transaction server, wherein the reference consumed power and the reference stored power are used for indicating the power grid transaction server to execute the following operations: determining whether each user belongs to a first user type in a first time period of each future natural day, and sending first inquiry information to terminal equipment of each user in the first user type and second inquiry information to terminal equipment of each user in a second user type; scheduling the power supply condition of each user in the first area based on the terminal equipment of each user in the first user type and the reply information returned by the terminal equipment of each user in the second user type;
the method comprises the steps that the surplus electricity quantity of each user in a first user type is larger than a preset threshold value, the surplus electricity quantity of each user in a second user type is smaller than the preset threshold value, the first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, the second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises the required electricity quantity, the power utilization period and the power supply power of each user in the second user type, and the second inquiry information comprises the power supply price, the electricity quantity interval and the power supply period of each user in the first user type.
2. The method of claim 1, wherein determining the reference power consumption of each user for the first time period of each future natural day based on the historical power consumption comprises:
performing data processing on the historical power consumption of each user in the first time period of each historical natural day to obtain the accumulated power consumption of each user in the first time period of each historical natural day;
and determining the reference consumed electric quantity of each user in the first time period of each future natural day according to the accumulated consumed electric quantity.
3. The method of claim 1, wherein said determining a reference stored power for said each user over said first time period of each future natural day based on said historical stored power, said historical weather data, and said future weather data comprises:
according to the historical storage electric quantity of each user in the first time period of each historical natural day and the historical weather data, training a prediction model to be trained to obtain a first model, wherein the first model is used for predicting the energy storage condition of the user;
And inputting future weather data of each user in the first time period of each future natural day into the first model to obtain the reference stored electric quantity of each user in the first time period of each future natural day.
4. The method according to claim 1, wherein the method further comprises:
the reply information comprises confirmation power supply information of a first target user in the first user type and confirmation power consumption information of a second target user in the second user type, wherein the confirmation power supply information is used for determining that the first target user supplies power for the second target user, the confirmation power consumption information is used for determining that the second target user uses power supplied by the first target user, and the confirmation power supply information and the confirmation power consumption information are used for indicating the power grid transaction server to generate confirmation transaction information of the first target user and the second target user;
and receiving the confirmation transaction information sent by the power grid transaction server, and executing grid-connected control according to the confirmation transaction information, wherein the grid-connected control is used for power supply scheduling of the first target user and the second target user.
5. The method of claim 4, wherein said performing grid tie control based on said confirmation transaction information comprises:
according to the confirmation transaction information of the first target user and the second target user, the local energy storage system of the first target user is integrated into a mains supply loop through the power grid equipment;
and based on the mains supply loop, supplying power to the load equipment of the second target user through the local energy storage system of the first target user.
6. A power supply scheduling method, characterized by being applied to a power grid transaction server, wherein the power grid transaction server is in communication connection with an intelligent inverter, power grid equipment and terminal equipment, the method comprising:
receiving reference electricity consumption and reference stored electricity consumption of each user in a first time period of each future natural day in a second natural day set, wherein the reference electricity consumption is determined according to the historical electricity consumption of each user in the first time period of each historical natural day in the first natural day set, the reference stored electricity is determined according to the historical stored electricity consumption and historical weather data of each user in the first time period of each historical natural day, and the future weather data of each user in the first time period of each future natural day, the first natural day set comprises a plurality of historical natural days, and the second natural day set comprises at least one future natural day;
Determining whether each user belongs to a first user type in a first time period of each future natural day according to the reference consumed electric quantity and the reference stored electric quantity;
transmitting first inquiry information to terminal equipment of each user in the first user type and second inquiry information to terminal equipment of each user in the second user type, wherein the first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, the second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises required power quantity, power utilization period and power supply power of each user in the second user type, and the second inquiry information comprises power supply price, power quantity interval and power supply period of each user in the first user type;
receiving reply information returned by the terminal equipment of each user in the first user type and the terminal equipment of each user in the second user type, and scheduling the power supply condition of each user in the first area according to the reply information.
7. The method of claim 6, wherein determining whether the each user belongs to a first user type during the first time period of each future natural day based on the reference power consumption and the reference stored power comprises:
Determining surplus electricity quantity of each user in the first time period of each future natural day according to the reference electricity consumption quantity of each user in the first time period of each future natural day and the reference stored electricity quantity;
when a first surplus electric quantity in the surplus electric quantity is larger than a preset threshold value, determining that a user corresponding to the first surplus electric quantity belongs to the first user type;
and when the first surplus electric quantity is smaller than the preset threshold value, determining that the user corresponding to the first surplus electric quantity belongs to the second user type.
8. The method of claim 6, wherein the scheduling the power supply condition of each user in the first area according to the reply message comprises:
the reply information comprises confirmation power supply information of a first target user in the first user type and confirmation power consumption information of a second target user in the second user type, wherein the confirmation power supply information is used for determining that the first target user supplies power for the second target user, and the confirmation power consumption information is used for determining that the second target user uses power supply of the first target user;
Generating confirmation transaction information of the first target user and the second target user according to the confirmation power supply information and the confirmation power consumption information;
and sending the confirmation transaction information to the intelligent inverter, wherein the confirmation transaction information is used for indicating the intelligent inverter to execute grid-connected control.
9. The method according to any one of claims 6-8, further comprising:
acquiring a historical working time period of the power grid equipment on each historical natural day;
and determining a second time period of each future natural day according to the historical working time period, wherein the second time period is the time for scheduling the power supply condition of each user in the first area, and the power grid equipment is in an idle state in the second time period of each future natural day.
10. A power dispatching device, characterized in that is applied to intelligent inverter, intelligent inverter and electric wire netting transaction server and electric wire netting equipment communication connection, electric wire netting equipment and local energy storage system communication connection, the device includes:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring historical electricity consumption, historical storage electricity and historical weather data of each user in a first area in a first time period of each historical natural day in a first natural day set, and acquiring future weather data of each user in a first time period of each future natural day in a second natural day set, the first natural day set comprises a plurality of historical natural days, and the second natural day set comprises at least one future natural day;
The processing module is used for determining the reference consumed electric quantity of each user in the first time period of each future natural day according to the historical consumed electric quantity;
the processing module is further configured to determine a reference stored electricity quantity of each user in a first time period of each future natural day according to the historical stored electricity quantity, the historical weather data and the future weather data;
the processing module is further configured to send the reference power consumption and the reference stored power to the power grid transaction server, where the reference power consumption and the reference stored power are used to instruct the power grid transaction server to perform the following operations: determining whether each user belongs to a first user type in a first time period of each future natural day, and sending first inquiry information to terminal equipment of each user in the first user type and second inquiry information to terminal equipment of each user in a second user type; scheduling the power supply condition of each user in the first area based on the terminal equipment of each user in the first user type and the reply information returned by the terminal equipment of each user in the second user type;
The method comprises the steps that the surplus electricity quantity of each user in a first user type is larger than a preset threshold value, the surplus electricity quantity of each user in a second user type is smaller than the preset threshold value, the first inquiry information is used for inquiring whether each user in the first user type confirms power supply or not, the second inquiry information is used for inquiring whether each user in the second user type confirms power utilization or not, the first inquiry information comprises the required electricity quantity, the power utilization period and the power supply power of each user in the second user type, and the second inquiry information comprises the power supply price, the electricity quantity interval and the power supply period of each user in the first user type.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102280935A (en) * 2011-06-24 2011-12-14 中国科学院电工研究所 Intelligent power grid management system
CN103941841A (en) * 2014-04-21 2014-07-23 可牛网络技术(北京)有限公司 Method and device for acquiring remaining available time of equipment
CN105226826A (en) * 2015-10-27 2016-01-06 国网山东省电力公司泰安供电公司 Distributed intelligence management of power use method and system
KR20200018525A (en) * 2018-07-24 2020-02-19 주식회사 인코어드 테크놀로지스 A System For Managing A Demand Respond With A Scheduling Function
CN111064199A (en) * 2020-01-07 2020-04-24 京东方科技集团股份有限公司 Control method and device for intelligent microgrid
CN112990719A (en) * 2021-03-23 2021-06-18 广东电网有限责任公司电力调度控制中心 Intelligent power supply management method and system and computer readable storage medium
CN114784839A (en) * 2022-03-14 2022-07-22 深圳市建筑科学研究院股份有限公司 Direct current power supply method and device, direct current power grid system, storage medium and product
CN115481905A (en) * 2022-09-22 2022-12-16 广西电网有限责任公司 Power grid power demand response method participated by user and related device
CN115496522A (en) * 2022-08-29 2022-12-20 国网福建省电力有限公司 Market-oriented trading electric quantity prediction method and system based on moving average
CN115860383A (en) * 2022-11-29 2023-03-28 南方电网数字电网研究院有限公司 Power distribution network scheduling method and device, electronic equipment and storage medium

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102280935A (en) * 2011-06-24 2011-12-14 中国科学院电工研究所 Intelligent power grid management system
CN103941841A (en) * 2014-04-21 2014-07-23 可牛网络技术(北京)有限公司 Method and device for acquiring remaining available time of equipment
CN105226826A (en) * 2015-10-27 2016-01-06 国网山东省电力公司泰安供电公司 Distributed intelligence management of power use method and system
KR20200018525A (en) * 2018-07-24 2020-02-19 주식회사 인코어드 테크놀로지스 A System For Managing A Demand Respond With A Scheduling Function
CN111064199A (en) * 2020-01-07 2020-04-24 京东方科技集团股份有限公司 Control method and device for intelligent microgrid
CN112990719A (en) * 2021-03-23 2021-06-18 广东电网有限责任公司电力调度控制中心 Intelligent power supply management method and system and computer readable storage medium
CN114784839A (en) * 2022-03-14 2022-07-22 深圳市建筑科学研究院股份有限公司 Direct current power supply method and device, direct current power grid system, storage medium and product
CN115496522A (en) * 2022-08-29 2022-12-20 国网福建省电力有限公司 Market-oriented trading electric quantity prediction method and system based on moving average
CN115481905A (en) * 2022-09-22 2022-12-16 广西电网有限责任公司 Power grid power demand response method participated by user and related device
CN115860383A (en) * 2022-11-29 2023-03-28 南方电网数字电网研究院有限公司 Power distribution network scheduling method and device, electronic equipment and storage medium

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