CN117669925A - Energy scheduling method, related device, storage medium and computer program - Google Patents

Energy scheduling method, related device, storage medium and computer program Download PDF

Info

Publication number
CN117669925A
CN117669925A CN202311528461.1A CN202311528461A CN117669925A CN 117669925 A CN117669925 A CN 117669925A CN 202311528461 A CN202311528461 A CN 202311528461A CN 117669925 A CN117669925 A CN 117669925A
Authority
CN
China
Prior art keywords
target
power
activity
scene
electricity consumption
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311528461.1A
Other languages
Chinese (zh)
Inventor
陆海军
赵梦龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Ampere Times Digital Energy Technology Co ltd
Original Assignee
Shenzhen Ampere Times Digital Energy Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Ampere Times Digital Energy Technology Co ltd filed Critical Shenzhen Ampere Times Digital Energy Technology Co ltd
Priority to CN202311528461.1A priority Critical patent/CN117669925A/en
Publication of CN117669925A publication Critical patent/CN117669925A/en
Pending legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L55/00—Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075—Arrangements 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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Power Engineering (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • General Health & Medical Sciences (AREA)
  • Water Supply & Treatment (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application discloses an energy scheduling method, a related device, a storage medium and a computer program, wherein the method comprises the steps of obtaining target information of target scene activities; determining that the city power supply of the activity site has a preset abnormal risk; predicting a target power consumption required by target load equipment; predicting an available power amount of a power battery in the electric vehicle at the beginning of a target scene activity and an expected required power amount after the target scene activity; judging whether the target electricity consumption, the available electricity consumption and the expected required electricity consumption meet preset conditions or not; and if so, controlling the power battery to supply power to the target load equipment in the target scene activity. The method and the device strengthen the reliability of power supply in scene activities, improve the intelligence and comprehensiveness of a household energy scheduling system for processing scene energy consumption and demand information, expand the energy scheduling function boundary and are used for meeting the power consumption demands of users in scene activities.

Description

Energy scheduling method, related device, storage medium and computer program
Technical Field
The present disclosure relates to the field of new energy industry, and more particularly, to an energy scheduling method, an energy scheduling device, a storage medium, and a computer program.
Background
With the development of society, people increasingly pursue high-quality mental lives. After work, people often organize and participate in various activities to relax their mind and body and to obtain mental pleasure. For scene activities (such as large-scale gathering activities and camping in the open) requiring more electric equipment, when the activity sites are selected outdoors or the commercial power is overloaded and even in a power failure state, the commercial power is difficult to stably and continuously supply power to the electric equipment, and then the power consumption requirements of people in the scene activities are difficult to meet, and the scene activities are difficult to develop. Thus, the reliability of power supply in this scene activity directly affects the sense of experience of people.
Disclosure of Invention
The application discloses an intelligent energy scheduling method and device based on scene activity energy consumption prediction. According to the method and the system, the power supply condition of the scene activity can be predicted in advance, and when the commercial power is abnormal, the power battery of the electric vehicle and the local energy storage module can be used as alternative power supplies, so that the reliability of power supply in the scene activity is enhanced, the intelligence and the comprehensiveness of the energy scheduling system for processing the scene activity energy consumption and the demand information are improved, the energy scheduling function boundary is expanded, and the power demand of a user in the scene activity is met.
In a first aspect, the present application provides an intelligent energy scheduling method based on scene activity energy consumption prediction, which is applied to a controller in an intelligent inverter, wherein the intelligent inverter comprises the controller and the inverter, the method is applied to the intelligent inverter in a home energy scheduling system of a target home user, the home energy scheduling system comprises a mains supply system and a home energy storage system, the home energy storage system comprises a photovoltaic panel set, the intelligent inverter and a local energy storage module, the intelligent inverter is respectively connected with the photovoltaic panel set, the local energy storage module and the mains supply system, and the local energy storage module comprises a plurality of parallel single storage batteries; the method comprises the following steps:
acquiring target information of target scene activities of the target home user, wherein the target information comprises associated information of an activity site, an activity time period and target load equipment used for the activities, and the associated information comprises specification information and a use time period;
determining that the mains supply of the activity site has a preset abnormal risk, wherein the preset abnormal risk is used for representing overload operation or non-power supply of the mains control system in the activity time period;
Predicting the target power consumption required by the target load equipment according to the target information;
predicting available power of a power battery in an electric vehicle of the target home user at the beginning of the target scene activity and expected required power after the target scene activity according to the activity venue and the activity period;
judging whether the target electricity consumption, the available electricity consumption and the expected required electricity consumption meet preset conditions or not under the condition that the target electricity consumption is larger than the stored electricity consumption of the local energy storage module;
and if so, controlling the power battery to supply power to the target load equipment in the target scene activity.
In a second aspect, the present application provides a power supply apparatus, including:
the system comprises an acquisition unit, a storage unit and a control unit, wherein the acquisition unit is used for acquiring target information of local target scene activities of target family users, the target information comprises a movable field of the target scene activities, an activity time period and associated information of target load equipment used for the activities, and the associated information comprises specification information and a use time period;
the system comprises a first prediction unit, a second prediction unit and a third prediction unit, wherein the first prediction unit is used for determining that the mains supply of the activity site has a preset abnormal risk, and the preset abnormal risk is used for representing overload operation or non-power supply of a mains supply system in the activity time period;
A second prediction unit, configured to predict a target power consumption required by the target load device according to the target information;
a third prediction unit for predicting an available power amount of a power battery in an electric vehicle of the target home user at the start of the target scene activity and an expected required power amount after the target scene activity according to the activity venue and the activity period;
the fourth prediction unit is used for judging whether the target electricity consumption, the available electricity consumption and the expected required electricity consumption meet preset conditions or not under the condition that the target electricity consumption is larger than the stored electricity consumption of the local energy storage module;
and the control unit is used for controlling the power battery to supply power to the target load equipment in the target scene activity if the power battery is satisfied.
In a third aspect, the present application provides a smart inverter, comprising a controller, an inverter, a memory and a communication interface, wherein the communication interface is configured to perform receiving and/or transmitting operations under the control of the controller, the memory is configured to store a computer program, and the controller is configured to invoke the computer program to implement the method described in the first aspect or any possible implementation manner of the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium having a computer program stored therein for carrying out the method of the first aspect or any one of the possible implementations of the first aspect when run on a processor.
After the intelligent inverter predicts that the city power has preset abnormal risk (namely, the city power cannot stably supply power) before the scene activity starts, the power supply requirement of the target load equipment, the power supply capacity of the local energy storage module and the power supply capacity of the electric vehicle can be further predicted, and after the power supply capacity of the local energy storage module is determined to not completely meet the power supply requirement of the target load equipment, the power battery of the electric vehicle can be used as a power supply source to supply power to the load equipment in the scene activity. It is easy to understand that the intelligent inverter in the application predicts the power supply condition of the scene activity in advance, and can take the power battery and the local energy storage module of the electric vehicle as alternative power supply sources when the commercial power is abnormal, and the follow-up normal running of the electric vehicle is not influenced, so that the reliability of power supply in the scene activity is enhanced, the intelligence and the comprehensiveness of a household energy scheduling system for processing the scene energy consumption and the demand information are improved, and the energy scheduling function boundary is expanded for meeting the power consumption demand of users in the scene activity.
Drawings
The drawings that are used in the description of the embodiments of the present application will be briefly described as follows.
Fig. 1 is a schematic architecture diagram of an intelligent energy scheduling system according to an embodiment of the present application;
fig. 2 is a schematic flow chart of an intelligent energy scheduling method according to an embodiment of the present application;
fig. 3A is a schematic view of a first operation interface according to an embodiment of the present application;
FIG. 3B is a schematic view of a first floating window according to an embodiment of the present disclosure;
FIG. 3C is a schematic view of a second floating window according to an embodiment of the present application;
fig. 4 is a schematic view of a second operation interface according to an embodiment of the present application;
fig. 5 is a schematic view of a third operation interface according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an intelligent energy scheduling apparatus 60 according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a smart inverter 70 according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic architecture diagram of an intelligent energy scheduling system according to an embodiment of the present application. The intelligent energy scheduling system comprises a household energy storage system 101 and a mains supply system 102, wherein the household energy storage system 101 comprises a photovoltaic panel set 103, an intelligent inverter 104 and a local energy storage module 105, and the local energy storage module 105 comprises a plurality of parallel single storage batteries. The intelligent inverter 104 is respectively connected with the photovoltaic panel set 103, the local energy storage module 105 and the commercial power control system 102.
The intelligent inverter 104 in the home energy storage system 101 can control the photovoltaic panel set to convert light energy into electric energy and store the electric energy in a plurality of parallel single storage batteries of the local energy storage module 105. The intelligent inverter 104 may control the local energy storage module 105 or the utility power control system 102 to output electric energy as a power supply to power a load device connected to the intelligent inverter 104. Optionally, the mains control system includes a mains circuit and a grid-connected converter.
When applied to a scene activity, the home energy storage system 101 further includes a terminal device 106, and the terminal device 106 may be in communication connection with the intelligent inverter 104. A target home user (which may be understood as an organizer of an activity) may set target information of a target scenario activity in the terminal device 106 before the start of the target scenario activity, the target information including an activity place of the target scenario activity, an activity period, association information of target load devices (exemplified by the first target load device 107 and the second target load device 108) used for the activity, the association information including specification information and a usage period. After the target information is obtained, the intelligent inverter 104 determines whether the city power supply of the activity site has a preset abnormal risk, that is, whether the city power control system (for example, the city power control system 102) is in overload operation or can not supply power in a preset activity period.
After determining that the commercial power control system 102 has the preset abnormal risk, the controller may further predict the power supply requirement of the target load device according to the target information, predict the power supply capacities of the local energy storage module 105 and the electric vehicle 109, and after determining that the power supply capacities of the local energy storage module 105 cannot fully meet the power supply requirements of the first target load device 107 and the second target load device 108, may use the power battery of the electric vehicle 109 of the target home user as the power supply source to supply power to the load devices in the target scene activity. Optionally, the electric vehicle 109 includes a power battery and a grid-tie converter. That is, in the target scenario activity, the intelligent inverter 104 may be further connected to the electric vehicle 109, the first target load device 107, and the second target load device 108, respectively, and the intelligent inverter 104 may control the local energy storage module 105, the utility power control system 102, or the power battery of the electric vehicle 109 to output electric energy as a power supply.
In an alternative embodiment, intelligent inverter 104 includes inverter 110 and controller 111. As can be seen from fig. 1, the mains control system 102, the inverter 110, the first target load device 107 and the second target load device 108 constitute a first power supply path; the local energy storage module 105, the inverter 110, the first target load device 107 and the second target load device 108 form a second power supply path; the electric vehicle 109, the inverter 110, the first target load device 107, and the second target load device 108 constitute a third power supply path. The controller 111 may control the inverter 110 to turn off one of the first, second, and third power supply paths when the other two power supply paths are turned on, thereby controlling a power supply manner of the power supply system.
In an alternative embodiment, the terminal device 106 may also be in communication with the electric vehicle 109, so that the intelligent inverter 104 may obtain the usage of the power battery in the electric vehicle 109 through the terminal device 106, thereby further predicting the power supply capability of the electric vehicle.
The number of terminal devices and target load devices is not strictly limited in this application, and the number in the embodiment shown in fig. 1 is only an example.
The specific manner in which the terminal device 106 is communicatively coupled to the intelligent inverter 104 or to the electric vehicle 109 is not limited in this application. In an alternative embodiment, the terminal device 106 may be in wireless communication with the intelligent inverter 104 or with the electric vehicle 109 through a server as a communication medium, where the server may be a cloud, such as a single service in the cloud or a server cluster formed by a plurality of servers.
Alternatively, the terminal device 106 may be a stand-alone device such as a handheld terminal, a desktop terminal, or a wearable device, or may be a component (e.g., a chip or an integrated circuit) included in a stand-alone device, and when the terminal device 106 is a handheld terminal, it may be a smart wearable device (e.g., a smart watch), a mobile phone, a tablet, a computer (e.g., a notebook, a palm computer, etc.), or the like.
Therefore, the intelligent inverter in the intelligent energy scheduling system shown in fig. 1 can predict the power supply condition of the target scene activity in advance, and can take the power battery of the electric vehicle and the local energy storage module as alternative power supply sources when the commercial power is abnormal, so that the reliability of power supply in the scene activity is enhanced, the intelligence and the comprehensiveness of the household energy scheduling system for processing the scene energy consumption and the demand information are improved, and the energy scheduling function boundary is expanded for meeting the power consumption demands of users in the scene activity.
Referring to fig. 2, fig. 2 is a flow chart of an intelligent energy scheduling method according to an embodiment of the present application, where the method may be implemented based on the architecture shown in fig. 1, and the method includes, but is not limited to, the following steps:
step S201: the intelligent inverter acquires target information of target scene activities of target home users.
The intelligent inverter may be communicatively connected to the terminal device to obtain target information of target scene activities of target home users (which may be understood as organizers of target scene activities, hereinafter simply referred to as "users") transmitted by the terminal device. The intelligent inverter may be the intelligent inverter 104 in the embodiment depicted in fig. 1, or may be another device capable of performing the same operation as the intelligent inverter. The terminal device may be the terminal device 106 in the embodiment described in fig. 1, or may be another device that performs the same operation as the terminal device.
The target information includes association information of an activity site, an activity period, and a target load device for the activity of the target scene, the association information including specification information and a usage period. The target load device may be one or more devices.
In an alternative embodiment, the target load device includes a non-energy storage device and/or an energy storage device, when the target load device is a non-energy storage device, the specification information in the association information includes a device name and a device power, and when the target load device is an energy storage device, the specification information in the association information includes the device name and a maximum storage power of the device. The association information is advantageous for the intelligent inverter to predict the target power consumption required for the target load device in the subsequent step S203.
3A-3C, FIG. 3A is a schematic view of a first operation interface provided in an embodiment of the present application, FIG. 3B is a schematic view of a first floating window provided in an embodiment of the present application, and FIG. 3C is a schematic view of a second floating window provided in an embodiment of the present application.
As shown in fig. 3A, before the start of the target scene activity, the user sets target information of the target scene activity in the first operation interface 301 of the terminal device. The user may enter an activity venue (e.g., "sunlight park") in activity venue bar 302 or may click on locate icon 303 to match the corresponding activity address. Next, the user may enter an activity period (e.g., "2023/6/14:15:00-17:00") in activity period column 304. Further, the user may input association information of different types of target load devices by clicking the first newly added icon 305 and the second newly added icon 306.
Illustratively, as shown in FIG. 3B, in response to a user's operation instruction to click on the first newly added icon 305, the first operation interface 301 displays a first floating window 307. After setting the device name (e.g., "barbecue oven"), device power (e.g., "1200 watts (W)") and the period of use (e.g., "15:00-16:00") of the non-energy storage device in the first floating window 307, the user clicks the first ok icon 308 to save. In response to the user clicking on the second newly added icon 306, the first operation interface 301 displays a second floating window 309. After setting the device name (e.g., "cell phone"), maximum charge (e.g., "11 watt hours (w.h)") and the period of use (e.g., "16:20-17:00") of the energy storage device in the second floating window 309, the user clicks the second ok icon 310 to save. As shown in fig. 3C, the first operation interface 301 displays the first association information 311 and the second association information 312 of the target load device set by the user, and the user may also delete the first association information 311 and the second association information 312 by clicking the first deletion icon 313 and the second deletion icon 314, respectively.
Then, in response to the user clicking the operation instruction of the third determination icon 315 on the first operation interface 301, the terminal device may send the target information of the target scene activity preset by the user to the intelligent inverter.
It is easy to understand that the intelligent inverter in the embodiment of the application can be connected with different types of target load equipment, and the application range is wide. The non-energy storage device is used for working in a power supply state, namely, can not work in a power-off working state. Alternatively, in a scene event, the non-energy storage device may be a barbecue oven, juicer, induction cooker, or the like. The energy storage type equipment is used for storing energy in a power supply state, and can work by depending on electric energy stored by the energy storage type equipment after power failure. Optionally, in the scene activity, the energy storage device may be a mobile phone, an illuminating lamp, a computer, and the like.
Step S202: the intelligent inverter determines that the city power supply of the movable field has a preset abnormal risk.
The preset abnormal risk is used for representing overload operation or non-powering of the commercial power control system in the active time period. The utility control system may be the utility control system 102 in the embodiment depicted in fig. 1. If the city power supply of the activity site has the preset abnormal risk, the intelligent inverter executes the following steps S202-S206; if the city power supply of the activity site does not have the preset abnormal risk, the intelligent inverter preferentially controls the city power to supply power to the target load in the target scene activity.
In an alternative embodiment, the intelligent inverter may determine whether the mains supply has a preset abnormal risk according to the activity site and the activity time period, for example, if the activity site is an outdoor site (such as a sea, a park, etc.), the intelligent inverter may determine that the mains control system is not available, and if the activity time period belongs to a peak electricity consumption time period (such as 10:00-15:00; 18:00-21:00), the intelligent inverter may determine that the mains control system is in overload operation.
In an alternative embodiment, the intelligent inverter may also establish a communication connection with the grid server, and obtain, from the grid server, a historical power supply state of the utility power control system of the activity site in the activity period, so as to predict whether a preset abnormal risk exists in the utility power supply.
Step S203: the intelligent inverter predicts the target power consumption required by the target load equipment according to the target information.
The intelligent inverter may predict the power demand, i.e., the target power usage, of the target load device prior to the target scene activity. The target power consumption is related to the specification and the use time of the target device.
In combination with an alternative embodiment described in step S201, considering that the calculation manners of the target power consumption of the energy storage device and the target power consumption of the non-energy storage device are different, the intelligent inverter uses the maximum stored power as the first power consumption of the energy storage device for the energy storage device in the target load device, and determines the second power consumption of the non-energy storage device according to the working power and the corresponding use time period for the non-energy storage device in the target load device. And then the intelligent inverter determines the sum value of the first electricity consumption and the second electricity consumption as the target electricity consumption.
Exemplary targeted load devices include cell phones and barbecue ovens. For an energy storage type device 'mobile phone' with the maximum stored electricity quantity of 11 W.h, the first electricity quantity can be 11 W.h, and for a non-energy storage type device 'barbecue oven' with the use power of 1200W and the use time period of '15:00-16:00' (namely the use time period of 1 h), the second electricity quantity can be 1200 W.h, so that the target electricity quantity is 1211 W.h.
It should be noted that, in the embodiment of the present application, the maximum stored electricity is used as the first electricity, so that it can be ensured to the greatest extent that the energy storage device can obtain the required electric energy in the actual target scene activity.
In an alternative embodiment, in consideration of the limited number of load devices to which the intelligent inverter has access, the intelligent inverter needs to determine whether there are third devices whose usage periods overlap and the number of third devices in the target load devices, before step S203.
It should be noted that, in the embodiment of the present application, "the usage period overlap" is not limited to the usage period being identical, but may be understood as that there is an overlap portion in the usage period.
For example, the target load devices include a first target load device, a second target load device, a third target load device, and a fourth target load device. The first target load device corresponds to a first usage period of time "15:00-16:00", the second target load device corresponds to a second usage period of time "15:30-16:30", the third target load device corresponds to a third usage period of time "15:20-15:40", and the fourth target load device corresponds to a fourth usage period of time "15:00-15:30".
It will be appreciated that the usage periods of the first and fourth target load devices have overlapping portions in the range of "15:00-15:20", and thus, the third devices corresponding to the overlapping periods of "15:00-15:20" are the first and fourth target load devices, and the number of the third devices is 2.
The usage periods of the first, third and fourth target load devices overlap at "15:20-15:30", and therefore, the third devices corresponding to the overlapping periods of "15:20-15:30" are the first, third and fourth target load devices, and the number of the third devices is 3.
The usage periods of the first, second and third target load devices overlap at "15:30-15:40", and thus, the third devices corresponding to the overlapping periods of "15:30-15:40" are the first, second and third target load devices, and the number of the third devices is 3.
The usage periods of the first and second target load devices overlap at "15:40-16:00", and thus, the third devices corresponding to the overlapping periods of "15:40-16:00" may be the first and second target load devices, and the number of the third devices is 2.
If the number of the third devices is larger than the maximum number of the load devices supported by the intelligent inverter, the intelligent inverter instructs the terminal device to output a first message, and the first message is used for prompting a user to reset the use period of the third devices. The first message may be a voice message and/or a text message. If the number of third devices is not greater than the maximum number of load devices that the intelligent inverter supports access to, the intelligent inverter may perform step S203.
Therefore, the embodiment of the application can prompt and assist the user to set the reasonable number of target load devices and the using time period, and the intelligence of power supply in the scene activities is enhanced.
Step S204: the intelligent inverter predicts an available amount of power of a power battery in the electric vehicle at the beginning of the target scene activity and an expected required amount of power after the target scene activity based on the activity venue and the activity period.
The intelligent inverter may predict the power supply capability of the user's electric vehicle, i.e., the difference between the available power of the power battery and the expected required power, before the target scene is active. The electric vehicle may be the electric vehicle 109 in the embodiment depicted in fig. 1, or may be another vehicle that can have the same characteristics as the electric vehicle.
In an alternative embodiment, the terminal device may be in communication connection with the electric vehicle, and the intelligent inverter may obtain, through the terminal device, historical travel information and expected travel information of the electric vehicle, so as to predict the available electric quantity and the expected required electric quantity.
Specifically, the historical trip information includes electricity consumption conditions of the power battery of the electric vehicle in historical days, and the use habit of the user can be reflected to a certain extent. The historical days are N days before the activity date corresponding to the activity time period of the target scene activity, and N is a positive integer. N can be a default value or an empirical value set according to the actual application scenario. The intelligent inverter determines the average residual capacity of the power battery in the N days at the first moment according to the historical trip information, wherein the first moment is the same as the starting moment of the active time period, and the average residual capacity is equal to the sum of the residual capacities of the power battery in each of the N days divided by N.
For example, if the target scene activity time period is "2023/6/14:00-17:00" and N is 2, the activity date is 2023, 6, and 14 days, the first time is 14:00, and the intelligent inverter may determine, according to the historical trip information, a first remaining power of the power battery at 2023, 6, 12, 14:00 and a second remaining power of the power battery at 2023, 6, 13, 14:00. If the first remaining power is 10000 W.h and the second remaining power is 14000 W.h, the average remaining power of the power battery in 2 days is 12000 W.h. And then, the intelligent inverter predicts the available electric quantity of the power battery at the beginning of the target scene activity according to the average residual electric quantity. Alternatively, the available power may be equal to the average remaining power, or may be equal to the average remaining power multiplied by a weight parameter, where the weight parameter is a value greater than 0 and less than 1. That is, the intelligent inverter can predict that the available power is smaller than the average remaining power when predicting the available power, so that the following intelligent inverter can more accurately predict whether the power battery can be used as a power supply source and whether the power battery can meet the power supply requirement of the target load when being used as the power supply source.
Further, the expected travel information includes a destination to be reached by the electric vehicle preset by the user through the terminal device after the target scene activity is finished, and may reflect a travel plan of the user after the activity. The intelligent inverter can determine mileage between the activity site and the destination according to the expected travel information, and further predict expected required electric quantity.
For example, if the activity location is "XX park" and the preset destination is "XX cell", the intelligent inverter may determine that the mileage between "XX park" and "XX cell" is 20 km, and further may predict the consumed electric quantity 3000w·h corresponding to the mileage of 20 km based on the hundred km power consumption of the electric vehicle. And then, the intelligent inverter predicts the expected required electric quantity of the power battery after the target scene activity is finished according to the consumed electric quantity corresponding to the mileage. Alternatively, the expected required power may be equal to the consumed power, or may be equal to the consumed power multiplied by a weight parameter, where the weight parameter is a value greater than 1. That is, the intelligent inverter can predict that the power consumption is larger than the expected power consumption when predicting the expected power consumption, so as to ensure that the electric vehicle can normally run for a certain distance after the target scene is active, thereby facilitating the following user's scheduling and the charging of the power battery.
Note that the sequence of step S203 and step S204 is not limited in this application. I.e. step S204 may precede step S203.
Step S205: and the intelligent inverter judges whether the target electricity consumption, the available electricity consumption and the expected required electricity consumption meet preset conditions under the condition that the target electricity consumption is larger than the stored electricity consumption of the local energy storage module.
The local energy storage module is connected with the intelligent inverter, and the intelligent inverter can determine the storage electric quantity of the local energy storage module after identifying that the local energy storage module is connected. The local energy storage module may be the local energy storage module 105 in the embodiment shown in fig. 1, or may be another module having the same function as the local energy storage module. The stored power of the local energy storage module may originate from a photovoltaic panel set, which may be photovoltaic panel set 103 in the embodiment shown in fig. 1.
The target electricity consumption is larger than the stored electricity consumption of the local energy storage module, so that the power supply capacity of the local energy storage module is insufficient to meet the electricity consumption requirement of the target load equipment in the target scene activity. The intelligent inverter further judges whether the target power consumption, the available power consumption and the expected power demand meet preset conditions.
Specifically, the preset condition defines that the difference between the target electricity consumption and the stored electricity consumption is not greater than the difference between the available electricity consumption and the expected required electricity consumption. It is to be appreciated that the preset condition is used to reflect that the electric vehicle and the local energy storage module may together meet the power supply requirements of the target load device.
Step S206: if yes, the intelligent inverter controls the power battery to supply power to the target load equipment in the target scene activity.
Under the condition that the target power consumption, the available power consumption and the expected required power consumption meet preset conditions, the intelligent inverter can control the local energy storage module to supply power to the target load equipment in a first time period and control the power battery to supply power to the target load equipment in a second time period in the target scene activity.
It will be appreciated that the sum of the duration of the first time period and the duration of the second time period is equal to the duration of the active time period.
It should be noted that, in the embodiment of the present application, the sequence of the first time period and the second time period is not limited. In the target scene activity, the intelligent inverter can be used for preferentially controlling the local energy storage module to supply power to the target load and also can be used for preferentially controlling the electric vehicle to supply power to the target load under the condition that the preset abnormal risk occurs in the mains supply and the local energy storage module cannot meet the power supply requirement of the target load equipment.
In one possible embodiment, the intelligent inverter preferably controls the local energy storage module to supply power to the target load device until the electric quantity of the local energy storage module is exhausted, and then controls the electric vehicle to supply power to the target load device. I.e. the first time period is the time period used for the exhaustion of the electric quantity of the local energy storage module.
In an alternative embodiment, the intelligent inverter instructs the terminal device to output a second message when it is determined that the target power consumption, the available power consumption and the expected required power consumption meet the preset conditions, where the second message is used to provide a power supply policy for a user to select. For easy understanding, please refer to fig. 4, fig. 4 is a schematic view of a second operation interface provided in an embodiment of the present application. The user may receive the second message 402 through the second operation interface 401 and select among three power supply strategies, including reducing the number of target load devices, increasing the stored power of the local energy storage module, and taking the power battery of the electric vehicle as a power supply source.
Alternatively, in response to a user selecting an operation instruction of "taking the power battery of the electric vehicle as the power supply source", the intelligent inverter may receive a third message sent by the terminal device, where the third message is used to indicate that the user selects the power battery of the electric vehicle as the power supply source. Then the intelligent inverter will control the power battery to power the target load device during the target scenario activity.
Optionally, in response to the user selecting the operation instruction "reduce the number of target load devices", the intelligent inverter may receive a fourth message sent by the terminal device, where the fourth message is used to indicate that the user selects to reduce the number of target load devices. The intelligent inverter may instruct the terminal device to output a fifth message for providing the association information of the target load device with reduced demand for reference by the user.
Optionally, in response to the operation instruction that the user selects "increase the stored electricity quantity of the local energy storage module", the intelligent inverter may receive a sixth message sent by the terminal device, where the sixth message is used to indicate that the user selects to increase the stored electricity quantity of the local energy storage module. The intelligent inverter may instruct the terminal device to output a seventh message, where the seventh message is used to provide the stored electricity that needs to be increased by the local energy storage module, so as to provide a reference for the user.
In an alternative embodiment, the intelligent inverter instructs the terminal device to output an eighth message when it is determined that the target power consumption, the available power consumption and the expected required power consumption do not meet the preset conditions, where the eighth message is used to prompt the user to reduce the number of target load devices.
In an alternative embodiment, during a target scenario activity, the terminal device may obtain the operating state of the intelligent inverter for viewing by the user. The following illustrates, for easy understanding, please refer to fig. 5, fig. 5 is a schematic view of a third operation interface provided in an embodiment of the present application. In the target scene activity, the user can view the current power supply through the first information window 502 in the third operation interface 501, and when the power supply is an electric vehicle or a local energy storage module, the user can also view the current residual electric quantity (for example, 50kw·h). The user may also view the number of load devices that have been accessed, the name of the load devices (e.g., induction cooker, fan), and the length of time that the load devices have been accessed (e.g., 30 minutes 01 seconds at 00 hours) through a second information window 503 in the third operator interface 501.
In the embodiment shown in fig. 2, the photovoltaic panel set, the intelligent inverter, the local energy storage module and the terminal device can be used as a home energy storage system, and the mains supply system and the home energy storage system can be used as a home energy scheduling system.
In summary, when the intelligent inverter in the embodiment of the present application predicts that there is a preset abnormal risk of the utility power (that is, the utility power cannot stably supply power) before the scene activity starts, the power supply requirement of the target load device, the power supply capability of the local energy storage module and the power supply capability of the electric vehicle can be further predicted, after the power supply capability of the local energy storage module is determined to not completely meet the power supply requirement of the target load device, the power battery of the electric vehicle can be used as the power supply source to supply power to the load device in the scene activity, and the follow-up normal running of the electric vehicle is not affected, so that the reliability of power supply in the scene activity is enhanced, the intelligence and the comprehensiveness of the processing of the scene energy consumption and the requirement information by the home energy scheduling system are improved, and the energy scheduling function boundary is expanded, so as to meet the power demand of the user in the scene activity. In addition, the terminal device in the embodiment of the application can provide various power supply strategies for the user, besides using the power battery as a power supply source, the user can be recommended to reduce the number of target load devices or increase the storage electric quantity of the local energy storage module, and the power supply mode in the scene activity is determined according to the selection of the user, so that the power supply intelligence of the household energy scheduling system in the scene activity is enhanced.
The foregoing details of the method of embodiments of the present application are set forth in order to provide a better understanding of the foregoing aspects of embodiments of the present application, and accordingly, the following provides a device of embodiments of the present application.
It may be understood that, in order to implement the functions in the above method embodiments, the apparatus provided in the embodiments of the present application, for example, an intelligent energy scheduling apparatus, includes a hardware structure, a software module, or a combination of a hardware structure and a software structure that perform each function.
Those of skill in the art will readily appreciate that the elements and steps of the various examples described in connection with the embodiments disclosed herein may be implemented as hardware or a combination of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. The skilled person may implement the foregoing method embodiments in different usage scenarios using different device implementations, which should not be considered to be beyond the scope of the embodiments of the present application.
The embodiment of the application can divide the functional modules of the device. For example, each functional module may be divided corresponding to each function, or two or more functions may be integrated in one functional module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present application, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation. For example, taking the case of dividing the respective functional modules of the apparatus by integration as an example, the present application exemplifies several possible processing apparatuses.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an intelligent energy scheduling apparatus 60 according to an embodiment of the present application, where the intelligent energy scheduling apparatus 60 may be the intelligent inverter 104 shown in fig. 1 or the controller 111 in the intelligent inverter 104; the intelligent energy scheduling apparatus 60 may include an acquisition unit 601, a first prediction unit 602, a second prediction unit 603, a third prediction unit 604, a fourth prediction unit 605, and a control unit 606, each of which is connected through a bus, wherein a detailed description of each unit is as follows:
an obtaining unit 601, configured to obtain target information of a target scenario activity of a target home user, where the target information includes an activity field of the target scenario activity, an activity time period, and associated information of a target load device used for the activity, and the associated information includes specification information and a usage time period;
a first prediction unit 602, configured to determine that there is a preset abnormal risk of the mains supply of the activity site, where the preset abnormal risk is used to characterize overload operation or non-availability of the mains supply system in the activity time period;
a second prediction unit 603, configured to predict a target power consumption required by the target load device according to the target information;
A third prediction unit 604 for predicting an available amount of power of a power battery in an electric vehicle at the start of the target scene activity and an expected required amount of power after the target scene activity according to the activity venue and the activity period;
a fourth prediction unit 605, configured to determine whether the target power consumption, the available power consumption, and the expected power consumption meet a preset condition when the target power consumption is greater than a stored power of the local energy storage module;
and the control unit 606 is used for controlling the power battery to supply power to the target load equipment in the target scene activity if the target scene activity is met.
In one possible implementation, the third prediction unit 604 is specifically configured to:
acquiring historical travel information and expected travel information of the electric vehicle, wherein the historical travel information comprises electric quantity consumption conditions of a power battery of the electric vehicle in historical days, the historical days comprise N days before an activity date corresponding to the activity time period, the expected travel information comprises a preset destination which the electric vehicle needs to reach after the activity of the target scene is finished, and the N is a positive integer;
Predicting the available electric quantity of the power battery at the beginning of the activity of the target scene according to the average residual electric quantity of the power battery at a first moment in the N days, wherein the first moment is the same as the beginning moment of the activity time period;
and predicting the expected required electric quantity of the power battery after the target scene is activated according to the mileage between the activity site and the destination.
In another possible implementation manner, in the aspect of predicting the target power consumption required by the target load device according to the target information, the second prediction unit 603 is specifically configured to:
taking the maximum deposit electric quantity as a first electric quantity of the first equipment;
and/or determining a second electricity consumption of the second equipment according to the working power and the use time length corresponding to the use time period;
the first device and the second device both belong to the target load device, the maximum storage electric quantity and the working power both belong to the specification information, the first device is energy storage type device, the second device is non-energy storage type device, the non-energy storage type device is used for working in a power supply state, and the target electric quantity comprises a summation value of the first electric quantity and the second electric quantity.
In yet another possible implementation manner, the intelligent energy scheduling apparatus 60 further includes a determining unit and an indicating unit, before the predicting the target power consumption required by the target load device according to the target information:
the determining unit is used for determining the number of third devices with overlapping using time periods in the target load device;
the indication unit is configured to instruct a terminal device to output a first message if the number of the third devices is greater than the maximum number of load devices that the inverter supports access, where the first message is used to prompt a user to reset a usage period of the third devices;
the second prediction unit 603 is configured to execute the step of predicting the target power consumption required by the target load device according to the target information if the number of the third devices is not greater than the maximum number of load devices that the inverter supports to access.
In yet another possible implementation, in that the if satisfied, the control unit 606 is specifically configured to:
under the condition that the target electricity consumption, the available electricity consumption and the expected required electricity consumption meet the preset conditions, indicating a terminal device to output a second message, wherein the second message is used for providing a power supply strategy for a user to select, and the power supply strategy comprises reducing the number of the target load devices, increasing the storage electricity consumption of the local energy storage module and taking a power battery of the electric vehicle as a power supply source;
Receiving a third message sent by the terminal equipment, wherein the third message is used for indicating that the user selects a power battery of the electric vehicle as a power supply;
and controlling the power battery to supply power to the target load equipment in the target scene activity.
In yet another possible implementation, the preset condition defines that a difference between the target electricity consumption amount and the stored electricity amount is not greater than a difference between the available electricity amount and the expected required electricity amount; in terms of said controlling said power battery to power said target load device during said target scenario activity, said control unit 606 is specifically configured to:
controlling the local energy storage module to supply power to the target load equipment in a first time period in the target scene activity, and controlling the power battery to supply power to the target load equipment in a second time period;
wherein the sum of the duration of the first time period and the duration of the second time period is equal to the duration of the active time period.
It should be noted that, in the embodiment of the present application, the specific implementation and the technical effect of each unit may also correspond to the corresponding description of the corresponding method embodiment with reference to fig. 2.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a smart inverter 70 according to an embodiment of the present application, where the smart inverter 70 includes a controller 111, a memory 702, a communication interface 703 and an inverter 110. The controller 111, the memory 702, the communication interface 703, and the inverter 110 are connected to each other via a bus.
The controller 111 may be one or more central processing units (central processing unit, CPU), and in the case where the controller 111 is one CPU, the CPU may be a single-core CPU or a multi-core CPU.
Memory 702 includes, but is not limited to, random access memory (random access memory, RAM), read-only memory (ROM), erasable programmable read-only memory (erasable programmable read only memory, EPROM), or portable read-only memory (compact disc read-only memory, CD-ROM), and memory 702 is used for associated computer programs and data.
The communication interface 703 is used to receive and output data. The communication interface 703 may receive a message sent by a terminal device; the communication interface may also send instructions to the terminal device.
The inverter 110 is used for power conversion so that the power supply supplies power to the target load device.
The controller 111 is configured to read the computer program code stored in the memory 702, and perform the following operations:
acquiring target information of target scene activities of target family users, wherein the target information comprises association information of activity sites, activity time periods and target load equipment used for the activities of the target scene activities, and the association information comprises specification information and use time periods;
determining that the mains supply of the activity site has a preset abnormal risk, wherein the preset abnormal risk is used for representing overload operation or non-power supply of a mains supply system in the activity time period;
predicting the target power consumption required by the target load equipment according to the target information;
predicting available power of a power battery in an electric vehicle of the target home user at the beginning of the target scene activity and expected required power after the target scene activity according to the activity venue and the activity period;
judging whether the target electricity consumption, the available electricity consumption and the expected required electricity consumption meet preset conditions or not under the condition that the target electricity consumption is larger than the stored electricity consumption of the local energy storage module;
And if so, controlling the power battery to supply power to the target load equipment in the target scene activity.
In one possible implementation, the controller 111 is specifically configured to:
acquiring historical travel information and expected travel information of the electric vehicle, wherein the historical travel information comprises electric quantity consumption conditions of a power battery of the electric vehicle in historical days, the historical days comprise N days before an activity date corresponding to the activity time period, the expected travel information comprises a preset destination which the electric vehicle needs to reach after the activity of the target scene is finished, and the N is a positive integer;
predicting the available electric quantity of the power battery at the beginning of the activity of the target scene according to the average residual electric quantity of the power battery at a first moment in the N days, wherein the first moment is the same as the beginning moment of the activity time period;
and predicting the expected required electric quantity of the power battery after the target scene is activated according to the mileage between the activity site and the destination.
In another possible implementation manner, in terms of the predicting the target power consumption required by the target load device according to the target information, the controller 111 is specifically configured to:
taking the maximum deposit electric quantity as a first electric quantity of the first equipment;
and/or determining a second electricity consumption of the second equipment according to the working power and the use time length corresponding to the use time period;
the first device and the second device both belong to the target load device, the maximum storage electric quantity and the working power both belong to the specification information, the first device is energy storage type device, the second device is non-energy storage type device, the non-energy storage type device is used for working in a power supply state, and the target electric quantity comprises a summation value of the first electric quantity and the second electric quantity.
In yet another possible implementation, before the predicting the target power consumption required by the target load device according to the target information, the controller 111 is configured to:
determining a number of third devices of the target load devices that overlap in usage time period;
if the number of the third devices is larger than the maximum number of the load devices which the inverter supports to access, indicating the terminal device to output a first message, wherein the first message is used for prompting a user to reset the using period of the third devices;
And if the number of the third devices is not greater than the maximum number of the load devices supported by the inverter to be accessed, executing the step of predicting the target power consumption required by the target load device according to the target information.
In yet another possible implementation, in that if the meeting is satisfied, the controller 111 is specifically configured to:
under the condition that the target electricity consumption, the available electricity consumption and the expected required electricity consumption meet the preset conditions, indicating a terminal device to output a second message, wherein the second message is used for providing a power supply strategy for a user to select, and the power supply strategy comprises reducing the number of the target load devices, increasing the storage electricity consumption of the local energy storage module and taking a power battery of the electric vehicle as a power supply source;
receiving a third message sent by the terminal equipment, wherein the third message is used for indicating that the user selects a power battery of the electric vehicle as a power supply;
and controlling the power battery to supply power to the target load equipment in the target scene activity.
In yet another possible implementation, the preset condition defines that a difference between the target electricity consumption amount and the stored electricity amount is not greater than a difference between the available electricity amount and the expected required electricity amount; in terms of said controlling said power battery to power said target load device during said target scenario activity, said controller 111 is specifically configured to:
controlling the local energy storage module to supply power to the target load equipment in a first time period in the target scene activity, and controlling the power battery to supply power to the target load equipment in a second time period;
wherein the sum of the duration of the first time period and the duration of the second time period is equal to the duration of the active time period.
It should be noted that the implementation of each operation may also correspond to the corresponding description of the corresponding method embodiment with reference to fig. 2.
Embodiments of the present application also provide a computer-readable storage medium having a computer program stored therein, which when run on a processor, implements the method flow shown in fig. 2.
The "plurality" mentioned in the embodiments in this application refers to two or more, and "and/or" describes association relationships of association objects, which means that three relationships may exist, for example, a and/or B may mean: three cases of a alone, a and B together, and B alone, wherein A, B may be singular or plural. And, unless otherwise indicated, the use of ordinal numbers such as "first," "second," etc., in the embodiments herein are used for distinguishing between multiple objects and not for defining a sequence, timing, priority, or importance of the multiple objects. For example, the first device and the second device are only for distinguishing between different devices, and are not intended to represent differences in timing, importance, etc. of the two devices.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. An intelligent energy scheduling method based on scene activity energy consumption prediction is characterized by being applied to an intelligent inverter in a home energy scheduling system of a target home user, and comprises the following steps:
acquiring target information of target scene activities of the target home user, wherein the target information comprises associated information of an activity site, an activity time period and target load equipment used for the activities;
determining that the mains supply of the activity site has a preset abnormal risk, wherein the preset abnormal risk is used for representing overload operation or non-power supply of the mains control system in the activity time period;
predicting the target power consumption required by the target load equipment according to the target information;
Predicting available power of a power battery in an electric vehicle of the target home user at the beginning of the target scene activity and expected required power after the target scene activity according to the activity venue and the activity period;
judging whether the target electricity consumption, the available electricity consumption and the expected required electricity consumption meet preset conditions or not under the condition that the target electricity consumption is larger than the stored electricity consumption of the local energy storage module;
and if so, controlling the power battery to supply power to the target load equipment in the target scene activity.
2. The method of claim 1, wherein predicting an amount of power available to a power battery in an electric vehicle of the target home user at the start of the target scene activity and an expected amount of power required after the target scene activity based on the activity venue and the activity period comprises:
acquiring historical travel information and expected travel information of the electric vehicle, wherein the historical travel information comprises electric quantity consumption conditions of a power battery of the electric vehicle in historical days, the historical days comprise N days before an activity date corresponding to the activity time period, the expected travel information comprises a preset destination which the electric vehicle needs to reach after the activity of the target scene is finished, and the N is a positive integer;
Predicting the available electric quantity of the power battery at the beginning of the activity of the target scene according to the average residual electric quantity of the power battery at a first moment in the N days, wherein the first moment is the same as the beginning moment of the activity time period;
and predicting the expected required electric quantity of the power battery after the target scene is activated according to the mileage between the activity site and the destination.
3. The method according to claim 1 or 2, wherein the association information includes specification information and a usage period, and the predicting the target power consumption amount required by the target load device according to the target information includes:
taking the maximum deposit electric quantity as a first electric quantity of the first equipment;
and/or determining a second electricity consumption of the second equipment according to the working power and the use time length corresponding to the use time period;
the first device and the second device both belong to the target load device, the maximum storage electric quantity and the working power both belong to the specification information, the first device is energy storage type device, the second device is non-energy storage type device, the non-energy storage type device is used for working in a power supply state, and the target electric quantity comprises a summation value of the first electric quantity and the second electric quantity.
4. A method according to claim 1 or 2 or 3, wherein the home energy scheduling system further comprises a terminal device; before the predicting the target power consumption required by the target load device according to the target information, the method further includes:
determining a number of third devices of the target load devices that overlap in usage time period;
if the number of the third devices is larger than the maximum number of the load devices supported by the intelligent inverter, the terminal device is instructed to output a first message, wherein the first message is used for prompting a user to reset the using period of the third devices;
and if the number of the third devices is not greater than the maximum number of the load devices supported by the intelligent inverter, executing the step of predicting the target power consumption needed by the target load devices according to the target information.
5. A method according to claim 1, 2 or 3, wherein the home energy scheduling system further comprises a terminal device, and wherein if satisfied, controlling the power battery to power the target load device in the target scene activity comprises:
under the condition that the target electricity consumption, the available electricity consumption and the expected required electricity consumption meet the preset conditions, the terminal equipment is instructed to output a second message, wherein the second message is used for providing a power supply strategy for a user to select, and the power supply strategy comprises reducing the number of the target load equipment, increasing the storage electricity consumption of the local energy storage module and taking a power battery of the electric vehicle as a power supply source;
Receiving a third message sent by the terminal equipment, wherein the third message is used for indicating that the user selects a power battery of the electric vehicle as a power supply;
and controlling the power battery to supply power to the target load equipment in the target scene activity.
6. The method of claim 5, wherein the preset condition defines that a difference between the target amount of electricity used and the amount of electricity stored is not greater than a difference between the amount of electricity available and the expected amount of electricity required; the controlling the power battery to power the target load device in the target scene activity includes:
controlling the local energy storage module to supply power to the target load equipment in a first time period in the target scene activity, and controlling the power battery to supply power to the target load equipment in a second time period;
wherein the sum of the duration of the first time period and the duration of the second time period is equal to the duration of the active time period.
7. An intelligent energy scheduling apparatus, the apparatus comprising:
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring target information of target scene activities of target family users, wherein the target information comprises associated information of activity sites, activity time periods and target load equipment used for the target scene activities;
The system comprises a first prediction unit, a second prediction unit and a third prediction unit, wherein the first prediction unit is used for determining that the mains supply of the activity site has a preset abnormal risk, and the preset abnormal risk is used for representing overload operation or non-power supply of a mains supply system in the activity time period;
a second prediction unit, configured to predict a target power consumption required by the target load device according to the target information;
a third prediction unit for predicting an available power amount of a power battery in an electric vehicle of the target home user at the start of the target scene activity and an expected required power amount after the target scene activity according to the activity venue and the activity period;
the fourth prediction unit is used for judging whether the target electricity consumption, the available electricity consumption and the expected required electricity consumption meet preset conditions or not under the condition that the target electricity consumption is larger than the stored electricity consumption of the local energy storage module;
and the control unit is used for controlling the power battery to supply power to the target load equipment in the target scene activity if the power battery is satisfied.
8. An intelligent inverter, characterized by comprising a controller, a memory and a communication interface, wherein the communication interface is used for executing receiving and/or transmitting operation under the control of the controller,
The memory is adapted to store a computer program, and the controller is adapted to invoke the computer program to implement the method of any of claims 1-6.
9. A computer-readable storage medium comprising,
the computer readable storage medium having stored therein a computer program which, when run on a processor, is capable of implementing the method of any of claims 1-6.
10. A computer program, characterized in that it is capable of implementing the method of any one of claims 1-6 when said computer program is run on a processor.
CN202311528461.1A 2023-07-11 2023-07-11 Energy scheduling method, related device, storage medium and computer program Pending CN117669925A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311528461.1A CN117669925A (en) 2023-07-11 2023-07-11 Energy scheduling method, related device, storage medium and computer program

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202310844534.1A CN116565926B (en) 2023-07-11 2023-07-11 Intelligent energy scheduling method and device based on scene activity energy consumption prediction
CN202311528461.1A CN117669925A (en) 2023-07-11 2023-07-11 Energy scheduling method, related device, storage medium and computer program

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
CN202310844534.1A Division CN116565926B (en) 2023-07-11 2023-07-11 Intelligent energy scheduling method and device based on scene activity energy consumption prediction

Publications (1)

Publication Number Publication Date
CN117669925A true CN117669925A (en) 2024-03-08

Family

ID=87490200

Family Applications (2)

Application Number Title Priority Date Filing Date
CN202311528461.1A Pending CN117669925A (en) 2023-07-11 2023-07-11 Energy scheduling method, related device, storage medium and computer program
CN202310844534.1A Active CN116565926B (en) 2023-07-11 2023-07-11 Intelligent energy scheduling method and device based on scene activity energy consumption prediction

Family Applications After (1)

Application Number Title Priority Date Filing Date
CN202310844534.1A Active CN116565926B (en) 2023-07-11 2023-07-11 Intelligent energy scheduling method and device based on scene activity energy consumption prediction

Country Status (1)

Country Link
CN (2) CN117669925A (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117439238B (en) * 2023-12-20 2024-03-15 深圳安培时代数字能源科技有限公司 Power supply method and related device for vehicle-mounted equipment of motor home
CN117439237B (en) * 2023-12-20 2024-05-07 深圳安培时代数字能源科技有限公司 Energy storage equipment charging control method and related device

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012175791A (en) * 2011-02-21 2012-09-10 Denso Corp Electric power supply system
CN106786555A (en) * 2017-01-20 2017-05-31 南京南瑞继保电气有限公司 A kind of intelligent dispatching method of household energy management system
GB2602337A (en) * 2020-12-23 2022-06-29 Larkfleet Smart Homes Ltd Electrical system for a residential site
CN112952904A (en) * 2021-03-11 2021-06-11 黄俊星 Control method and device based on storage and charging integrated power system

Also Published As

Publication number Publication date
CN116565926A (en) 2023-08-08
CN116565926B (en) 2023-09-19

Similar Documents

Publication Publication Date Title
CN116565926B (en) Intelligent energy scheduling method and device based on scene activity energy consumption prediction
WO2018133230A1 (en) Control method and apparatus for micro-grid system
US20120229077A1 (en) Electric power supply system and method for controlling electric power discharge
JP5982736B2 (en) Power storage device, power storage method and program
EP2903216B1 (en) Management system, management method, and device
JP2015122836A (en) Power management device, power management method and program
JP2013099174A (en) Energy management system, method and program
WO2016002346A1 (en) Power control system, and power control device
WO2015001767A1 (en) Control device and power management system
CN114893873A (en) Air conditioner control method and device and air conditioner
JP6173382B2 (en) Control device, energy management system, control method and program
JP2019054647A (en) Distributed power supply control device, distributed power supply control system, and distributed power supply control method
JP6246091B2 (en) Power supply system
JP2014030325A (en) Power supply system
JP2016126983A (en) Fuel cell controller, fuel cell control system, fuel cell control method and computer program
JP7165874B2 (en) Power control method, program, power control system, aggregation system, and communication terminal
JP6075584B2 (en) Control device, energy management system, control method, and program
JP6450168B2 (en) Power management system, power management method, and power management program
AU2016293631B2 (en) Storage battery control system, storage battery control method, and program
US20180323614A1 (en) Apparatus control device, apparatus control system, and apparatus control method
JP2019126152A (en) Power management device and program
CN115967111B (en) Energy storage conversion system and method based on energy storage bidirectional converter
US11594885B2 (en) Photovoltaic grid capacity sensor
AU2019100709A4 (en) Distributed Energy Control
US20220376502A1 (en) Method and apparatus for controlling loads connected to a distributed energy generation system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination