CN113422391A - Household appliance electricity utilization control method and device - Google Patents

Household appliance electricity utilization control method and device Download PDF

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Publication number
CN113422391A
CN113422391A CN202110977153.1A CN202110977153A CN113422391A CN 113422391 A CN113422391 A CN 113422391A CN 202110977153 A CN202110977153 A CN 202110977153A CN 113422391 A CN113422391 A CN 113422391A
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power
time
preset value
delta time
difference
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CN202110977153.1A
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Chinese (zh)
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高海
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Shenzhen Small Technology Co ltd
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Shenzhen Small Technology Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • 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
    • 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
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
    • H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/10—Photovoltaic [PV]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a method and a device for controlling the electricity consumption of household appliances, wherein the method comprises the following steps: collecting real-time power generation power and real-time data of the photovoltaic panel and predicting the power generation power of the photovoltaic panel in the next delta time; wherein: delta is the time period; the power consumption power and the real-time data of the household electrical appliance equipment of collection predict the power consumption power of the household electrical appliance equipment in next delta time, wherein: delta is the time period; calculating a difference value between the generated power and the power utilization power in the next delta time, if the difference value is larger than a first preset value, providing a first energy storage device for charging, and if the difference value is larger than a second preset value, providing a second energy storage device for charging; and if the difference value is greater than a third preset value, performing overvoltage protection. The invention mainly aims to provide a method and a device for controlling electricity consumption of household appliances, and solves the technical problems of energy storage safety and single energy storage scheme in the conventional household power generation system.

Description

Household appliance electricity utilization control method and device
Technical Field
The invention relates to the technical field of intelligent household appliance control, in particular to a method and a device for controlling the electricity consumption of a household appliance.
Background
With the increasing demand of clean energy, the share of photovoltaic power generation in the electric power field is higher and higher. Because the place that current photovoltaic board was put is unrestricted, so small-size photovoltaic generator also extensively is used for the field of photovoltaic and building integration, and then provides convenience for the domestic power consumption. However, on one hand, the existing household photovoltaic power generation needs a special storage battery to store electric energy, which results in higher cost; on the other hand, the generated energy cannot be flexibly adjusted, and the storage battery or the household appliance is easily damaged.
Disclosure of Invention
The invention mainly aims to provide a method and a device for controlling electricity consumption of household appliances, and solves the technical problems of energy storage safety and single energy storage scheme in the conventional household power generation system.
The application provides a household appliance power utilization control method, which comprises the following steps: collecting real-time power generation power and real-time data of the photovoltaic panel and predicting the power generation power of the photovoltaic panel in the next delta time; wherein: delta is the time period; the power consumption power and the real-time data of the household electrical appliance equipment of collection predict the power consumption power of the household electrical appliance equipment in next delta time, wherein: delta is the time period; calculating a difference value between the generated power and the power utilization power in the next delta time, if the difference value is larger than a first preset value, providing a first energy storage device for charging, and if the difference value is larger than a second preset value, providing a second energy storage device for charging; and if the difference value is greater than a third preset value, performing overvoltage protection.
Preferably, the collected real-time generated power and real-time data of the photovoltaic panel predict the generated power of the photovoltaic panel in the next delta time; wherein: δ is the time period comprising: predicting a plurality of generated power data of the photovoltaic panel in the next delta time according to the plurality of generated power data of the photovoltaic panel in the delta time;
and performing curve fitting on a plurality of generated power data of the photovoltaic panel in the next delta time by a least square method to obtain a first curve.
Preferably, the collected power consumption power of the household appliance and the real-time data predict the power consumption power of the household appliance in the next δ time, wherein: δ is the time period comprising: predicting a plurality of power utilization data of the household equipment in the next delta time according to a plurality of power utilization data of the household equipment in the delta time; and performing curve fitting on the plurality of electric power consumption data of the household equipment in the next delta time by a least square method to obtain a second curve.
Preferably, the difference between the generated power and the power consumption in the next delta time is calculated, if the difference is greater than a first preset value, a first energy storage device is provided for charging, and if the difference is greater than a second preset value, a second energy storage device is provided for charging; if the difference is greater than a third preset value, performing overvoltage protection, including: calculating the generated power in the next delta time of the first curve; calculating the power consumption in the next delta time of the second curve; and calculating the difference value of the generated power and the power utilization power in the next delta time.
Preferably, a difference value between the generated power and the power consumption in the next delta time is calculated, if the difference value is greater than a first preset value, a first energy storage device is provided for charging, and if the difference value is greater than a second preset value, a second energy storage device is provided for charging; if the difference is greater than a third preset value, performing overvoltage protection, including: judging whether the difference value between the generated power and the power utilization power in the next delta time is greater than a third preset value, if so, controlling and adjusting the angle of the photovoltaic panel to reduce the generated power; judging whether the difference value between the generated power and the power utilization power in the next delta time is smaller than a third preset value and larger than a second preset value or not, if so, controlling the photovoltaic panel to charge a charging pack of the new energy automobile; and judging whether the difference value of the generated power and the power utilization power in the next delta time is smaller than a second preset value and larger than a first preset value, if so, controlling the photovoltaic panel to charge the sweeping robot and/or the water heater.
The invention also provides an electric control device for household appliances, which comprises: the first data acquisition module is used for acquiring the real-time power generation power and the real-time data of the photovoltaic panel and predicting the power generation power of the photovoltaic panel in the next delta time; wherein: delta is the time period; the second data acquisition module is used for acquiring the power consumption power and the real-time data of the household appliance and predicting the power consumption power of the household appliance in the next delta time, wherein: delta is the time period; the central controller is used for calculating a difference value between the generated power and the power utilization power in the next delta time, if the difference value is larger than a first preset value, the central controller provides a first energy storage device for charging, and if the difference value is larger than a second preset value, the central controller provides a second energy storage device for charging; and if the difference value is greater than a third preset value, performing overvoltage protection.
Preferably, the first data acquisition module is configured to acquire real-time generated power and real-time data of the photovoltaic panel and predict generated power of the photovoltaic panel in the next delta time; wherein: δ is the time period comprising: establishing a first neural network prediction model; the first neural network prediction model is used for predicting a plurality of generated power data of the photovoltaic panel in the next delta time according to a plurality of generated power data of the photovoltaic panel in the delta time; and the first curve fitting module is used for performing curve fitting on the plurality of generated power data of the photovoltaic panel in the next delta time by a least square method to obtain a first curve.
Preferably, the second data acquisition module is configured to acquire the power consumption of the household appliance and the real-time data and predict the power consumption of the household appliance in the next δ time, where: δ is the time period comprising: establishing a second neural network prediction model for predicting a plurality of power consumption data of the household equipment within next delta time according to a plurality of power consumption data of the household equipment within the delta time; and the second curve fitting module is used for performing curve fitting on the plurality of electric power data of the household equipment in the next delta time by a least square method to obtain a second curve.
Preferably, the central controller is configured to calculate a difference between the generated power and the power consumption in the next δ time, provide the first energy storage device for charging if the difference is greater than a first preset value, and provide the second energy storage device for charging if the difference is greater than a second preset value; if the difference is greater than a third preset value, performing overvoltage protection, including: the generating power calculating module is used for calculating generating power within delta time next to the first curve; the power consumption calculation module is used for calculating the power consumption within the next delta time of the second curve; and the comparison module is used for calculating the difference value of the generated power and the power utilization power in the next delta time.
Preferably, the central controller is configured to calculate a difference between the generated power and the power consumption in the next δ time, provide the first energy storage device for charging if the difference is greater than a first preset value, and provide the second energy storage device for charging if the difference is greater than a second preset value; if the difference is greater than a third preset value, performing overvoltage protection, including: the central controller is used for judging whether the difference value between the generated power and the power utilization power in the next delta time is greater than a third preset value or not, and if yes, controlling and adjusting the angle of the photovoltaic panel to reduce the generated power; the central controller is used for judging whether the difference value between the generated power and the power utilization power in the next delta time is smaller than a third preset value and larger than a second preset value or not, and if yes, the photovoltaic panel is controlled to charge a charging pack of the new energy automobile; and the central controller is used for judging whether the difference value of the generated power and the power utilization power in the next delta time is smaller than a second preset value and larger than a first preset value, and if so, controlling the photovoltaic panel to charge the sweeping robot and/or the water heater.
The method comprises the steps of predicting the power generation power of the photovoltaic panel in the next delta time, and simultaneously predicting the power consumption power of household appliances in the next delta time; wherein: delta is the time period; calculating a difference value between the generated power and the power utilization power in the next delta time, if the difference value is larger than a first preset value, providing a first energy storage device for charging, and if the difference value is larger than a second preset value, providing a second energy storage device for charging; and if the difference value is greater than a third preset value, performing overvoltage protection. According to the technical scheme, the power utilization condition of the household appliance and the power generation condition of the photovoltaic panel can be predicted, different power supply and energy storage schemes can be selected according to the difference value adaptability of the household appliance and the photovoltaic panel, meanwhile, in the energy storage process, a storage battery is not needed for storing energy, energy is stored through different household appliances and household devices, the danger caused by the energy storage of the storage battery can be effectively avoided, and the energy storage cost can be further reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a flow chart of a method for controlling power consumption of a household appliance according to the present invention;
FIG. 2 is a flow chart of another embodiment of the household appliance power consumption control method according to the present invention;
FIG. 3 is a block diagram of an electric control device for a home appliance according to the present invention;
fig. 4 is a block diagram of a central controller in the electric control apparatus for home appliances according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
Moreover, the descriptions relating to the first, second, etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicit ly indicating the number of technical features indicated. Thus, the first and second features defined may explicitly or implicitly include at least one of the features. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
The present application proposes a method for controlling power consumption of a household appliance, and referring to fig. 1-2, the method includes: step 1, collecting real-time power generation power and real-time data of a photovoltaic panel and predicting the power generation power of the photovoltaic panel in the next delta time; wherein: delta is the time period; step 2, collecting the power consumption power and the real-time data of the household appliance and predicting the power consumption power of the household appliance in the next delta time, wherein: delta is the time period; step 3, calculating a difference value between the generated power and the power utilization power in the next delta time, if the difference value is larger than a first preset value, providing a first energy storage device for charging, and if the difference value is larger than a second preset value, providing a second energy storage device for charging; and if the difference value is larger than a third preset value, performing overvoltage protection.
The method comprises the steps of predicting the power generation power of the photovoltaic panel in the next delta time, and simultaneously predicting the power consumption power of household appliances in the next delta time; wherein: delta is the time period; calculating a difference value between the generated power and the power utilization power in the next delta time, if the difference value is larger than a first preset value, providing a first energy storage device for charging, and if the difference value is larger than a second preset value, providing a second energy storage device for charging; and if the difference value is greater than a third preset value, performing overvoltage protection. According to the technical scheme, the power utilization condition of the household appliance and the power generation condition of the photovoltaic panel can be predicted, different power supply and energy storage schemes can be selected according to the difference value adaptability of the household appliance and the photovoltaic panel, meanwhile, in the energy storage process, a storage battery is not needed for storing energy, energy is stored through different household appliances and household devices, the danger caused by the energy storage of the storage battery can be effectively avoided, and the energy storage cost can be further reduced.
Preferably, step 1, collecting real-time power generation power and real-time data of the photovoltaic panel and predicting the power generation power of the photovoltaic panel in the next delta time; wherein: δ is the time period comprising: step 11, predicting a plurality of generated power data of the photovoltaic panel in the next delta time according to a plurality of generated power data of the photovoltaic panel in the delta time; and 12, performing curve fitting on the plurality of generated power data of the photovoltaic panel in the next delta time by using a least square method to obtain a first curve.
Preferably, in step 2, the power consumption of the household appliance and the real-time data are collected, and the power consumption of the household appliance in the next δ time is predicted, wherein: δ is the time period comprising: step 21, predicting a plurality of electric power utilization data of the household equipment in next delta time according to a plurality of electric power utilization data of the household equipment in delta time; and step 22, performing curve fitting on the plurality of electric power data of the household equipment in the next delta time by using a least square method to obtain a second curve.
Preferably, step 3, calculating a difference between the generated power and the power consumption in the next delta time, if the difference is greater than a first preset value, providing a first energy storage device for charging, and if the difference is greater than a second preset value, providing a second energy storage device for charging; if the difference value is larger than a third preset value, performing overvoltage protection, including: step 31, calculating the generated power within the next delta time of the first curve; step 32, calculating the power consumption in the next delta time of the second curve; step 33, calculating the difference between the generated power and the used power in the next delta time.
Specifically, a plurality of generated power data of the photovoltaic panel in the next delta time are fitted by a least square method to obtain a first curve A: fa（x）＝a0+a1x+…+akxk. Performing curve fitting on a plurality of electric power data of the household equipment in the next delta time by a least square method to obtain a second curve B: fb（x）＝b0+b1x+…+bkxkAccording to the curve a and the curve B, the following is specified: calculating the difference between the two curves, namely the difference between the generated power and the power consumption in the next delta time
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，
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。
Preferably, step 3, calculating a difference between the generated power and the power consumption in the next delta time, if the difference is greater than a first preset value, providing a first energy storage device for charging, and if the difference is greater than a second preset value, providing a second energy storage device for charging; if the difference value is larger than a third preset value, performing overvoltage protection, including: step 34, judging whether the difference value between the generated power and the power utilization power in the next delta time is greater than a third preset value, if so, controlling and adjusting the angle of the photovoltaic panel to reduce the generated power; step 35, judging whether the difference value between the generated power and the power utilization power in the next delta time is smaller than a third preset value and larger than a second preset value, if so, controlling the photovoltaic panel to charge a charging pack of the new energy automobile; and step 36, judging whether the difference value between the generated power and the power utilization power in the next delta time is smaller than a second preset value and larger than a first preset value, and if so, controlling the photovoltaic panel to charge the sweeping robot and/or the water heater.
The present invention also provides an electric control apparatus for home appliances, which, with reference to fig. 3 to 4, includes: the first data acquisition module 31 is used for acquiring real-time power generation power and real-time data of the photovoltaic panel and predicting the power generation power of the photovoltaic panel in the next delta time; wherein: delta is the time period; a second data acquisition module 41, configured to acquire the power consumption of the household electrical appliance and the real-time data, and predict the power consumption of the household electrical appliance within the next δ time, where: delta is the time period; the central controller 50 is used for calculating a difference value between the generated power and the power consumption in the next delta time, if the difference value is greater than a first preset value, the first energy storage equipment is provided for charging, and if the difference value is greater than a second preset value, the second energy storage equipment is provided for charging; and if the difference value is larger than a third preset value, performing overvoltage protection.
The method comprises the steps of predicting the power generation power of the photovoltaic panel in the next delta time, and simultaneously predicting the power consumption power of household appliances in the next delta time; wherein: delta is the time period; calculating a difference value between the generated power and the power utilization power in the next delta time, if the difference value is larger than a first preset value, providing a first energy storage device for charging, and if the difference value is larger than a second preset value, providing a second energy storage device for charging; and if the difference value is greater than a third preset value, performing overvoltage protection. According to the technical scheme, the power utilization condition of the household appliance and the power generation condition of the photovoltaic panel can be predicted, different power supply and energy storage schemes can be selected according to the difference value adaptability of the household appliance and the photovoltaic panel, meanwhile, in the energy storage process, a storage battery is not needed for storing energy, energy is stored through different household appliances and household devices, the danger caused by the energy storage of the storage battery can be effectively avoided, and the energy storage cost can be further reduced.
Preferably, the first data acquisition module 31 is configured to acquire real-time generated power and real-time data of the photovoltaic panel and predict generated power of the photovoltaic panel in the next δ time; wherein: δ is the time period comprising: establishing a first neural network prediction model 32; a first neural network prediction model 32, which is used for predicting a plurality of generated power data of the photovoltaic panel in the next delta time according to a plurality of generated power data of the photovoltaic panel in the delta time; and a first curve fitting module 33, configured to perform curve fitting on the multiple generated power data of the photovoltaic panel in the next δ time by using a least square method to obtain a first curve.
Preferably, the second data collecting module 41 is configured to collect the power consumption of the home appliance and the real-time data, and predict the power consumption of the home appliance in the next δ time, where: δ is the time period comprising: establishing a second neural network prediction model 42, wherein the second neural network prediction model 42 is used for predicting a plurality of power consumption data of the household equipment within next delta time according to a plurality of power consumption data of the household equipment within delta time; and a second curve fitting module 43, configured to perform curve fitting on the multiple pieces of power consumption data of the household appliance in the next δ time by using a least square method to obtain a second curve.
Preferably, the central controller 50 is configured to calculate a difference between the generated power and the power used in the next δ time, and if the difference is greater than a first preset value, provide the first energy storage device for charging, and if the difference is greater than a second preset value, provide the second energy storage device for charging; if the difference value is larger than a third preset value, performing overvoltage protection, including: a generated power calculation module 51, configured to calculate a generated power within a next δ time of the first curve; the power consumption calculation module 52 is used for calculating the power consumption in the next delta time of the second curve; and the comparison module 53 is used for calculating the difference value between the generated power and the power utilization power in the next delta time.
Specifically, a plurality of generated power data of the photovoltaic panel in the next delta time are fitted by a least square method to obtain a first curve A: fa（x）＝a0+a1x+…+akxk. Performing curve fitting on a plurality of electric power data of the household equipment in the next delta time by a least square method to obtain a second curve B: fb（x）＝b0+b1x+…+bkxkAccording to the curve a and the curve B, the following is specified: calculating the difference between the two curves, namely the difference between the generated power and the power consumption in the next delta time
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，
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，
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。
Preferably, the central controller 50 is configured to calculate a difference between the generated power and the power used in the next δ time, and if the difference is greater than a first preset value, provide the first energy storage device for charging, and if the difference is greater than a second preset value, provide the second energy storage device for charging; if the difference value is larger than a third preset value, performing overvoltage protection, including: the central controller 50 is used for judging whether the difference value between the generated power and the power utilization power in the next delta time is greater than a third preset value, and if so, controlling and adjusting the angle of the photovoltaic panel to reduce the generated power; the central controller 50 is used for judging whether the difference value between the generated power and the power utilization power in the next delta time is smaller than a third preset value and larger than a second preset value or not, and if yes, controlling the photovoltaic panel to charge a charging pack of the new energy automobile; and the central controller 50 is used for judging whether the difference value between the generated power and the power utilization power in the next delta time is smaller than a second preset value and larger than a first preset value, and if so, controlling the photovoltaic panel to charge the sweeping robot and/or the water heater.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A method for controlling power consumption of a household appliance, the method comprising:
collecting real-time power generation power and real-time data of the photovoltaic panel and predicting the power generation power of the photovoltaic panel in the next delta time; wherein: delta is the time period;
the power consumption power and the real-time data of the household electrical appliance equipment of collection predict the power consumption power of the household electrical appliance equipment in next delta time, wherein: delta is the time period;
calculating a difference value between the generated power and the power utilization power in the next delta time, if the difference value is larger than a first preset value, providing a first energy storage device for charging, and if the difference value is larger than a second preset value, providing a second energy storage device for charging; and if the difference value is greater than a third preset value, performing overvoltage protection.
2. The household appliance electricity utilization control method according to claim 1, wherein the collected real-time generated power of the photovoltaic panel and real-time data predict the generated power of the photovoltaic panel in the next delta time; wherein: δ is the time period comprising:
predicting a plurality of generated power data of the photovoltaic panel in the next delta time according to the plurality of generated power data of the photovoltaic panel in the delta time;
and performing curve fitting on a plurality of generated power data of the photovoltaic panel in the next delta time by a least square method to obtain a first curve.
3. The method for controlling power consumption of a household appliance according to claim 2, wherein the collected power consumption of the household appliance and the real-time data predict the power consumption of the household appliance in the next delta time, and the method comprises the following steps: δ is the time period comprising:
predicting a plurality of power utilization data of the household equipment in the next delta time according to a plurality of power utilization data of the household equipment in the delta time;
and performing curve fitting on the plurality of electric power consumption data of the household equipment in the next delta time by a least square method to obtain a second curve.
4. The household appliance power utilization control method according to claim 3, wherein the difference between the generated power and the power utilization power in the next delta time is calculated, if the difference is greater than a first preset value, a first energy storage device is provided for charging, and if the difference is greater than a second preset value, a second energy storage device is provided for charging; if the difference is greater than a third preset value, performing overvoltage protection, including:
calculating the generated power in the next delta time of the first curve;
calculating the power consumption in the next delta time of the second curve;
and calculating the difference value of the generated power and the power utilization power in the next delta time.
5. The household appliance power utilization control method according to claim 4, wherein a difference value between the generated power and the power utilization power in the next delta time is calculated, if the difference value is greater than a first preset value, a first energy storage device is provided for charging, and if the difference value is greater than a second preset value, a second energy storage device is provided for charging; if the difference is greater than a third preset value, performing overvoltage protection, including:
judging whether the difference value between the generated power and the power utilization power in the next delta time is greater than a third preset value, if so, controlling and adjusting the angle of the photovoltaic panel to reduce the generated power;
judging whether the difference value between the generated power and the power utilization power in the next delta time is smaller than a third preset value and larger than a second preset value or not, if so, controlling the photovoltaic panel to charge a charging pack of the new energy automobile;
and judging whether the difference value of the generated power and the power utilization power in the next delta time is smaller than a second preset value and larger than a first preset value, if so, controlling the photovoltaic panel to charge the sweeping robot and/or the water heater.
6. An electric control device for household appliances, characterized in that it comprises:
the first data acquisition module is used for acquiring the real-time power generation power and the real-time data of the photovoltaic panel and predicting the power generation power of the photovoltaic panel in the next delta time; wherein: delta is the time period;
the second data acquisition module is used for acquiring the power consumption power and the real-time data of the household appliance and predicting the power consumption power of the household appliance in the next delta time, wherein: delta is the time period;
the central controller is used for calculating a difference value between the generated power and the power utilization power in the next delta time, if the difference value is larger than a first preset value, the central controller provides a first energy storage device for charging, and if the difference value is larger than a second preset value, the central controller provides a second energy storage device for charging; and if the difference value is greater than a third preset value, performing overvoltage protection.
7. The electric control device for the household appliances according to claim 6, wherein the first data acquisition module is used for acquiring real-time generated power and real-time data of the photovoltaic panel and predicting the generated power of the photovoltaic panel in the next delta time; wherein: δ is the time period comprising: establishing a first neural network prediction model;
the first neural network prediction model is used for predicting a plurality of generated power data of the photovoltaic panel in the next delta time according to a plurality of generated power data of the photovoltaic panel in the delta time;
and the first curve fitting module is used for performing curve fitting on the plurality of generated power data of the photovoltaic panel in the next delta time by a least square method to obtain a first curve.
8. The electrical control device for household appliances according to claim 7, wherein the second data acquisition module is configured to acquire the power consumption of the household appliances and the real-time data and predict the power consumption of the household appliances in the next delta time, wherein: δ is the time period comprising:
establishing a second neural network prediction model;
establishing a second neural network prediction model for predicting a plurality of power consumption data of the household equipment within the next delta time according to a plurality of power consumption data of the household equipment within the delta time;
and the second curve fitting module is used for performing curve fitting on the plurality of electric power data of the household equipment in the next delta time by a least square method to obtain a second curve.
9. The electrical control device for household appliances according to claim 8, wherein the central controller is configured to calculate a difference between the generated power and the power for the next delta time, and if the difference is greater than a first preset value, provide the first energy storage device for charging, and if the difference is greater than a second preset value, provide the second energy storage device for charging; if the difference is greater than a third preset value, performing overvoltage protection, including:
the generating power calculating module is used for calculating generating power within delta time next to the first curve;
the power consumption calculation module is used for calculating the power consumption within the next delta time of the second curve;
and the comparison module is used for calculating the difference value of the generated power and the power utilization power in the next delta time.
10. The electrical control device for household electrical appliances according to claim 9, wherein the central controller is configured to calculate a difference between the generated power and the power for the next delta time, and if the difference is greater than a first preset value, provide a first energy storage device for charging, and if the difference is greater than a second preset value, provide a second energy storage device for charging; if the difference is greater than a third preset value, performing overvoltage protection, including:
the central controller is used for judging whether the difference value between the generated power and the power utilization power in the next delta time is greater than a third preset value or not, and if yes, controlling and adjusting the angle of the photovoltaic panel to reduce the generated power;
the central controller is used for judging whether the difference value between the generated power and the power utilization power in the next delta time is smaller than a third preset value and larger than a second preset value or not, and if yes, the photovoltaic panel is controlled to charge a charging pack of the new energy automobile;
and the central controller is used for judging whether the difference value of the generated power and the power utilization power in the next delta time is smaller than a second preset value and larger than a first preset value, and if so, controlling the photovoltaic panel to charge the sweeping robot and/or the water heater.
CN202110977153.1A 2021-08-24 2021-08-24 Household appliance electricity utilization control method and device Pending CN113422391A (en)

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Application publication date: 20210921