CN114899866A - Intelligent load management method of photovoltaic energy storage system and related device - Google Patents

Intelligent load management method of photovoltaic energy storage system and related device Download PDF

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Publication number
CN114899866A
CN114899866A CN202210473754.3A CN202210473754A CN114899866A CN 114899866 A CN114899866 A CN 114899866A CN 202210473754 A CN202210473754 A CN 202210473754A CN 114899866 A CN114899866 A CN 114899866A
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battery
grid
power
electricity
price
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CN202210473754.3A
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Chinese (zh)
Inventor
王进
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Shenzhen Lux Power Technology Co ltd
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Shenzhen Lux Power Technology Co ltd
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Priority to CN202210473754.3A priority Critical patent/CN114899866A/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/388Islanding, i.e. disconnection of local power supply from the network
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0029Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
    • H02J7/00306Overdischarge protection
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0029Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
    • H02J7/0031Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits using battery or load disconnect circuits
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62The condition being non-electrical, e.g. temperature
    • H02J2310/64The condition being economic, e.g. tariff based load management
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

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

Abstract

The application is suitable for the technical field of photovoltaic, provides an intelligent load management method of a photovoltaic energy storage system and a related device, and solves the technical problem that the photovoltaic energy storage system in the prior art does not automatically switch a load to a certain power supply mode with lower cost. The method mainly comprises the following steps: when a photovoltaic energy storage system is powered on by a battery and a target load, monitoring the connection state of the photovoltaic energy storage system and a power grid, wherein the connection state comprises grid connection and grid disconnection; if the connection state is grid connection, switching the target load to be connected with the power grid for power supply only in a preset low-electricity-price period; and if the connection state is off-grid, disconnecting the target load from the battery to supply power when the battery power of the battery is lower than a preset safety output threshold value.

Description

Intelligent load management method of photovoltaic energy storage system and related device
Technical Field
The application belongs to the technical field of photovoltaic, and particularly relates to an intelligent load management method and a related device for a photovoltaic energy storage system.
Background
The photovoltaic power generation industry is greatly influenced by natural environment, particularly by natural factors such as sunshine duration and ambient temperature. In a proper natural environment, a plurality of photovoltaic energy storage systems are usually established in a centralized manner to improve the generated energy of the solar photovoltaic power generation matrix and the stored energy of the storage battery, so that the favorable natural environment is fully utilized to obtain more electric quantity. Therefore, the photovoltaic energy storage system is very suitable for being applied to mountainous areas where national power grids are not popularized, and daily electricity utilization requirements of local residents in the mountainous areas are met.
However, with the gradual large-scale laying of the national power grid, most of the remote mountainous areas can be connected with the alternating current provided by the national power grid, so that the phenomenon that photovoltaic power supply and power grid power supply exist in some areas at the same time is caused. At this time, local users who have both photovoltaic power supply and grid power supply will urgently want to obtain a technical scheme that can intelligently manage loads at the same time, so that the loads in homes can be intelligently switched to a certain power supply mode with lower cost.
Disclosure of Invention
The application aims to provide an intelligent load management method and a related device for a photovoltaic energy storage system, and solve the technical problem that the photovoltaic energy storage system in the prior art does not have a certain power supply mode which can automatically switch a load to be lower in cost.
In a first aspect, the present application provides an intelligent load management method for a photovoltaic energy storage system, including:
when a photovoltaic energy storage system is powered on by a battery and a target load, monitoring the connection state of the photovoltaic energy storage system and a power grid, wherein the connection state comprises grid connection and grid disconnection;
if the connection state is grid connection, switching the target load to be connected with the power grid for power supply only in a preset low-electricity-price period;
and if the connection state is off-grid, disconnecting the target load from the battery to supply power when the battery power of the battery is lower than a preset safety output threshold value.
Optionally, after determining that the connection state is grid connection, before switching the target load to be connected with the power grid for supplying power during a preset low-power-price period, the method further includes:
judging whether the battery power of the battery is higher than a preset standard storage preset threshold value, wherein the standard storage preset threshold value is larger than the safety output preset threshold value;
if the battery power of the battery is higher than the standard storage preset threshold value, stopping executing a preset low-electricity-price time period to switch the target load to be connected with the power grid for power supply;
and if the battery electric quantity of the photovoltaic energy storage system is equal to or lower than the standard storage preset threshold value, triggering the connection of a target load and the power grid in a preset low-electricity-price period.
Optionally, before switching the target load to be powered on the power grid for a preset low electricity price period, the method further includes:
receiving an electricity price time period price table, wherein the electricity price time period price table records electricity prices corresponding to different time periods;
defining the value of the standard electricity price;
setting a period corresponding to a price of electricity lower than the value of the standard price of electricity in the price table of electricity price period as a low electricity price period, and setting a period corresponding to a price of electricity higher than the value of the standard price of electricity in the price table of electricity price period as a high electricity price period.
Optionally, switching the target load to be connected with the power grid for power supply in a preset low electricity price period includes:
and switching the target load to be connected with the power grid for power supply and connecting a charging circuit of the battery with the power grid for charging in the preset low-electricity-price period.
Optionally, before disconnecting the target load from the battery, the method further includes:
receiving and prioritizing all target loads connected by the battery power supply, and determining a plurality of high-priority target loads with higher priorities;
disconnecting the target load from the battery comprises:
keeping a high-priority target load of the target loads powered on with the battery, the high-priority target load belonging to a part of the target loads;
powering down non-high priority ones of the target loads from the battery;
and when the battery power of the battery is higher than a safety output preset threshold value, the connection power supply of the non-high-priority target load and the battery is recovered.
Optionally, the method further includes:
receiving a switching-on instruction or a switching-off instruction of a user for a specified target load and the battery, wherein the specified target load is one of the target loads;
controlling the specified target load to be switched on and power supply of the battery according to the switching-on instruction;
and controlling the specified target load to cut off the power supply with the battery according to the cut-off instruction.
In a second aspect, the present application provides an intelligent load management device for a photovoltaic energy storage system, comprising:
the monitoring unit is used for monitoring the connection state of the photovoltaic energy storage system and a power grid when the photovoltaic energy storage system is powered on by a battery and a target load, and the connection state comprises grid connection and grid disconnection;
the switching unit is used for switching the target load to be connected with the power grid for power supply only in a preset low-electricity-price period if the connection state is grid connection;
and the disconnection unit is used for disconnecting the target load from the battery to supply power when the battery power of the battery is lower than a preset safe output threshold value if the connection state is off-grid.
Optionally, the apparatus further comprises:
the judging unit is used for judging whether the battery power of the battery is higher than a preset standard storage preset threshold value, and the standard storage preset threshold value is larger than the safety output preset threshold value;
the stopping unit is used for stopping executing the step of switching the target load to be connected with the power grid for power supply in a preset low electricity price period if the battery power of the battery is higher than the standard storage preset threshold;
and the triggering unit is used for triggering the step of connecting the target load with the power grid in a preset low-electricity-price period if the battery electricity quantity of the photovoltaic energy storage system is equal to or lower than the standard storage preset threshold value.
Optionally, the apparatus further comprises:
the receiving unit is used for receiving an electricity price time period price table, and the electricity price time period price table records electricity prices corresponding to different time periods;
a definition unit for defining a value of a standard electricity price;
a setting unit configured to set a period corresponding to a price of electricity lower than the value of the standard price of electricity in the price table of the price time period as a low price time period, and set a period corresponding to a price of electricity higher than the value of the standard price of electricity in the price table of the price time period as a high price time period.
Optionally, when the switching unit switches the target load to be connected with the power grid for power supply in a preset low electricity price period, the switching unit is specifically configured to:
and switching the target load to be connected with the power grid for power supply and connecting a charging circuit of the battery with the power grid for charging in the preset low-electricity-price period.
Optionally, the apparatus further comprises:
the receiving unit is also used for receiving and prioritizing all target loads connected by the battery power supply and determining a plurality of high-priority target loads with higher priorities;
when the disconnecting unit disconnects the target load from the battery for power supply, the disconnecting unit is specifically configured to:
keeping a high-priority target load of the target loads powered on with the battery, the high-priority target load belonging to a partial load of the target loads;
powering down non-high priority ones of the target loads from the battery;
and when the battery power of the battery is higher than a safety output preset threshold value, the connection power supply of the non-high-priority target load and the battery is recovered.
Optionally, the apparatus further comprises:
the receiving unit is also used for receiving a switching-on instruction or a switching-off instruction of a user for a specified target load and the battery, wherein the specified target load is one of the target loads;
the switching unit is further used for controlling the specified target load to be switched on and the power supply of the battery according to the switching-on instruction;
and the disconnection unit is also used for controlling the specified target load to disconnect the power supply of the battery according to the disconnection instruction.
In a third aspect, the present application provides a computer device comprising:
the system comprises a processor, a memory, a bus, an input/output interface and a network interface;
the processor is connected with the memory, the input/output interface and the network interface through a bus;
the memory stores a program;
the processor, when executing the program stored in the memory, implements the method of any of the preceding first aspects.
In a fourth aspect, the present application provides a computer storage medium having stored therein instructions that, when executed on a computer, cause the computer to perform the method of any of the preceding first aspects.
In a fifth aspect, the present application provides a computer program product which, when executed on a computer, causes the computer to perform the method as set forth in the preceding first aspect.
According to the technical scheme, the embodiment of the application has the following advantages:
according to the intelligent load management method of the photovoltaic energy storage system, when the photovoltaic energy storage system is powered on by using a battery and a target load, the connection state of the photovoltaic energy storage system and a power grid is monitored, wherein the connection state comprises grid connection and grid disconnection; if the connection state is grid connection, the photovoltaic energy storage system is in a state of accepting power supply of a power grid, but the target load is switched to be connected with the power grid for power supply only in a preset low-electricity-price period, so that low-cost power supply mode selection is ensured; if the connection state is off-grid, the target load and the battery are disconnected for power supply when the battery electric quantity of the battery is lower than a preset safety output threshold value, so that the use safety of the photovoltaic energy storage system is ensured.
Drawings
Fig. 1 is a schematic flowchart illustrating an embodiment of an intelligent load management method for a photovoltaic energy storage system according to the present application;
fig. 2 is a schematic flow chart illustrating another embodiment of an intelligent load management method for a photovoltaic energy storage system according to the present application;
fig. 3 is a schematic flowchart of another embodiment of an intelligent load management method for a photovoltaic energy storage system according to the present application;
FIG. 4 is a schematic structural diagram of an embodiment of an intelligent load management device of a photovoltaic energy storage system according to the present application;
fig. 5 is a schematic structural diagram of another embodiment of an intelligent load management device of a photovoltaic energy storage system according to the present application;
FIG. 6 is a schematic block diagram of an embodiment of a computer apparatus of the present application;
fig. 7 is a schematic diagram of an embodiment of the connection between the photovoltaic energy storage system and the photovoltaic power generation matrix, the battery, the grid, the load panel, the generator set, and the smart load according to the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 7, fig. 7 shows a schematic connection relationship between the photovoltaic energy storage system 710 and the photovoltaic power generation matrix 720, the battery (battery pack) 730, the power grid 740, the load panel 750, the generator set 760 and the smart load 770 according to the present application. The photovoltaic power generation matrix 720 is formed by connecting a plurality of groups of photovoltaic power generation panels in series and/or in parallel, and the photovoltaic power generation matrix 720 is used for acquiring electric energy from sunlight in a natural environment and transmitting the electric energy to the photovoltaic energy storage system 710 through a lead; a plurality of Maximum Power Point Tracking controllers 711 (MPPT) are disposed in the photovoltaic energy storage system 710, the power generation optimization of each group of photovoltaic power generation panels is realized by performing the maximum power point tracking on each group of photovoltaic power generation panels in the photovoltaic power generation matrix 720 by using the maximum power point tracking controller 711, the maximum power point tracking controller 711 transmits the electric energy received from each group of photovoltaic power generation panels to the BUS capacitor 712(DC-BUS), the electric energy transmitted from the maximum power point tracking controller 711 is subjected to stable energy conversion through the bus capacitor 712, and then transmitted to the Isolated DC step-up and step-down module 713(Isolated DC-DC), the electric energy is stored in the battery 730 after being subjected to voltage boosting or voltage reduction through the Isolated DC step-up and step-down module 713, and the electric energy obtained by the photovoltaic power generation matrix 720 is stored through the battery 730. The electric energy stored in the battery 730 can also be transmitted to the inverter bridge module 714 through the bus capacitor 712, and the ac power obtained by the inverter bridge module 714 is output, and the ac power can be processed by the logic controller 715 and then output to the intelligent load 770, so as to supply power to the intelligent load 770 (target load). In another embodiment, the logic controller 715 in the photovoltaic energy storage system 710 may be connected to the power grid 740, and transmit the ac power of the power grid 740 to the inverter bridge module 714, convert the ac power into dc power through the inverter bridge module 714, perform stable energy conversion on the dc power through the bus capacitor 712, transmit the converted dc power to the isolated dc step-up and step-down module 713, and store the electric energy into the battery 730 after stepping up or stepping down the electric energy through the isolated dc step-up and step-down module 713; specifically, an electricity meter 741 may be installed between the logic controller 715 and the grid 740, and is configured to record an amount of electric energy input and output between the photovoltaic energy storage system 710 and the grid 740. In another embodiment, the logic controller 715 of the photovoltaic energy storage system 710 may be further connected to a load panel 750, and a user may issue a control command to the logic controller 715, modify the control logic, view relevant operating parameters of the photovoltaic energy storage system 710, and the like through the load panel 750. In another embodiment, the logic controller 715 in the photovoltaic energy storage system 710 may also be connected to the generator set 760, and the logic controller 715 controls the generator set 760 to supply power (turn on, turn off, etc.) to the smart load.
It should be noted that, in the photovoltaic energy storage system 710 in the prior art, there is only one connection port 780 connected to the generator set 760, and the connection port 780 is used in an emergency (for example, the photovoltaic energy storage system is in an off-grid state and the battery capacity is insufficient, and the photovoltaic power generation matrix cannot meet the power demand), then the generator set 760 can be connected through the connection port 780, so as to supplement the battery capacity of the photovoltaic energy storage system 710 through the generator set 760, and meet the power demand. The connection port 780 serves as a port of the photovoltaic energy storage system 710 with an input and output function, when the connection port 780 is not used for connecting a generator set, or when the generator set 760 is connected with the photovoltaic energy storage system 710 from other ports instead of the power grid 740, the connection port 780 can be used for connecting a plurality of intelligent loads 770, so that intelligent control over the intelligent loads 770 through the photovoltaic energy storage system 710 is achieved, and only one connection port 780 which is usually used in the photovoltaic energy storage system 710 in the prior art is flexibly and skillfully utilized.
Based on the understanding of the hardware basis, please refer to fig. 1, an embodiment of the intelligent load management method for a photovoltaic energy storage system of the present application includes:
101. when the photovoltaic energy storage system is powered on by a battery and a target load, monitoring the connection state of the photovoltaic energy storage system and a power grid, wherein the connection state comprises grid connection and grid disconnection; when the connection state of the photovoltaic energy storage system and the power grid is monitored to be grid-connected, executing step 102; and when the connection state of the photovoltaic energy storage system and the power grid is monitored to be off-grid, executing step 103.
It should be noted that the current storage technology of using batteries (storage batteries) for electric energy is not mature enough, and the storage efficiency and the storage time of the batteries for electric energy are both limited. In view of this, in order to avoid wasting clean energy stored in the battery (mainly produced by the photovoltaic power generation matrix), the photovoltaic energy storage system preferentially uses the battery to connect with an external target load for power supply under the condition that the battery stores electric energy and meets external power transmission. At this moment, can also monitor the connection status of photovoltaic energy storage system and electric wire netting, when monitoring the connection status of photovoltaic energy storage system and electric wire netting for being incorporated into the power networks, show that photovoltaic energy storage system is carrying out the parallel connection with external electric wire netting, can learn through the outflow of kilowatt-hour meter to the electric quantity or flow in: the photovoltaic energy storage system is transmitting power to the power grid, or the photovoltaic energy storage system is collecting power to the power grid; when the connection state of the photovoltaic energy storage system and the power grid is off-grid, the photovoltaic energy storage system is shown to charge the battery only by depending on power generation of the photovoltaic power generation matrix, and power is supplied to an external target load by depending on electric energy stored by the battery, and the target load is an alternating current electric device.
102. And switching the target load to be connected with the power grid for supplying power only in the preset low-price period.
It can be understood that the photovoltaic energy storage system records a preset low-price time period in advance, and the preset low-price time period means that the cost of supplying power to an external target load by using the electric energy of the power grid in the time period is predefined to be lower than the cost of directly using a battery. In consideration of cost, the target load can be switched to be connected with the power grid for power supply in a preset low-electricity-price period, so that the alternating current of the power grid supplies power to the target load after being controlled by the logic controller of the photovoltaic energy storage system.
103. And when the battery power of the battery is lower than a preset safety output threshold, disconnecting the target load from the battery for power supply.
It can be understood that the electric quantity of the battery in the photovoltaic energy storage system is set with a safety output preset threshold value, and the safety output preset threshold value is used for ensuring that the battery stores certain electric quantity so as to ensure the service life of the battery and avoid the battery from being over-discharged.
According to the intelligent load management method of the photovoltaic energy storage system, when the photovoltaic energy storage system is powered on by using a battery and a target load, the connection state of the photovoltaic energy storage system and a power grid is monitored, wherein the connection state comprises grid connection and grid disconnection; if the connection state is grid connection, the photovoltaic energy storage system is in a state of accepting power supply of a power grid, but the target load is switched to be connected with the power grid for power supply only in a preset low-electricity-price period, so that low-cost power supply mode selection is ensured; if the connection state is off-grid, the target load and the battery are disconnected for power supply when the battery electric quantity of the battery is lower than a preset safety output threshold value, so that the use safety of the photovoltaic energy storage system is ensured.
Referring to fig. 2, another embodiment of the intelligent load management method for a photovoltaic energy storage system according to the present application includes:
201. when the photovoltaic energy storage system is powered on by using a battery and a target load, monitoring the connection state of the photovoltaic energy storage system, wherein the connection state comprises grid connection and grid disconnection, and executing the step 202 when the connection state of the photovoltaic energy storage system and a power grid is monitored to be grid connection; and when the connection state of the photovoltaic energy storage system and the power grid is monitored to be off-grid, executing step 208.
The execution of this step is similar to step 101 in the embodiment of fig. 1, and the repeated parts are not described again here.
202. Judging whether the battery power of the battery is higher than a preset standard storage preset threshold value, wherein the standard storage preset threshold value is larger than a safety output preset threshold value; if the battery power of the battery is higher than the preset standard storage preset threshold, suspending execution of step 206; if the battery power of the battery is lower than or equal to the predetermined standard storage predetermined threshold, go to step 206.
The method comprises the following steps of further judging whether the battery power of the photovoltaic energy storage system is higher than a preset standard storage threshold value so as to determine whether the battery power reaches a storage critical point, wherein when the battery power reaches the storage critical point, the storage efficiency of excessive power in a battery is not high, or the excessive power cannot be effectively stored in the battery, the generated energy from a photovoltaic power generation matrix is wasted, at the moment, the power can be consumed to a target load, and the target load does not need to be switched to be connected with a power grid for power supply in a preset low-power-price period; if the battery electric quantity of the battery is lower than or equal to a preset standard storage preset threshold value, the battery further has certain storage capacity for the electric quantity, namely the generated energy from the photovoltaic power generation matrix cannot fully charge the battery, and switching of the target load and connection of the power grid for power supply can be considered in a preset low-electricity-price period, so that the battery can be charged.
203. And receiving an electricity price time period price table, wherein the electricity price time period price table records electricity prices corresponding to different time periods.
It is worth noting that the photovoltaic energy storage system can receive and store an electricity price time period price table input by a manager (or a user), and the electricity price time period price table records electricity prices corresponding to different time periods. The different periods in the electricity price period price table herein may be different electricity periods of different electricity cycles such as different periods of a day, different periods of a week, different periods of a month, etc. For example, the price of electricity prices at different times of the day is shown in table 1 below:
Figure BDA0003624280710000101
TABLE 1
204. A value of the standard electricity price is defined.
This step requires defining a value of the standard electricity price for electricity prices of different periods listed in the electricity price period price table in step 203 so as to determine that the time periods lower than the standard price can be regarded as the low electricity price periods. For example, 0.8 yuan/kwh is defined as a standard electricity rate in the electricity rate period rate table of table 1, and 0.8 is a numerical value of the standard electricity rate.
205. Setting a period corresponding to the electricity prices of the numerical values lower than the standard electricity prices in the electricity price period price table as a low electricity price period, and setting a period corresponding to the electricity prices of the numerical values higher than the standard electricity prices in the electricity price period price table as a high electricity price period.
For example, referring to the standard electricity prices defined in step 204, in conjunction with the electricity price period price table 1 for the different periods of the day of step 203, 00: the 00-06:00 time period is set as a low electricity price period, and the ratio of 00: the 06-0:00 time period is set as the high electricity rate period.
206. And switching the target load to be connected with the power grid for supplying power only in the preset low-price period.
After learning that the low electricity price period is met in step 205, when it is determined that the battery power of the battery is higher than the preset standard storage preset threshold in step 202, the target load is switched to be connected with the power grid for power supply in the preset low electricity price period, so as to ensure that the low-cost power supply mode is selected. And the battery can be further charged by the electric quantity of the power grid with low electricity price through the charging circuit so as to be used in a high electricity price period, off-peak use is realized, the cost is saved, and meanwhile, the target load is switched to be connected with the power grid for power supply only in a preset low electricity price period, so that the spontaneous self-utilization rate of the photovoltaic energy storage system is improved.
207. And receiving and prioritizing all target loads connected by the battery power supply, and determining a plurality of high-priority target loads with higher priorities.
It should be noted that, the photovoltaic energy storage system of the present application may receive that a manager (or a user) prioritizes all target loads connected by battery power supply, so as to classify all target loads into target loads with different priorities (at least two levels), and determine a plurality of high-priority target loads with higher priorities. For example, the target load is a pool pump, pool heating equipment, dehumidifier, water heater, electric light, refrigerator, etc., wherein the underlying electric utility may be used as a high priority target load (electric light, refrigerator), and other electric utilities may be used as a sub-priority target load, so as to preferentially ensure the power supply of the high priority target load in special situations.
208. When the battery power of the battery is lower than a preset safety output threshold, keeping the high-priority target load in the target loads connected with the battery for power supply; powering disconnection of non-high priority ones of the target loads from the battery.
After determining a plurality of high-priority target loads with higher priorities in step 207, and monitoring that the connection state of the photovoltaic energy storage system and the power grid is off-grid and cannot obtain electric quantity support from the power grid in step 201, when the battery electric quantity of the battery is lower than a preset safety output threshold, the step preferentially ensures that the high-priority target loads are supplied with power, and timely disconnects the non-high-priority target loads in the target loads from the battery for power supply.
209. And when the battery power of the battery is higher than the safety output preset threshold value, the connection power supply of the non-high-priority target load and the battery is recovered.
After the power supply to the non-high-priority target loads is cut off in step 208, and it is monitored in step 201 that the connection state of the photovoltaic energy storage system and the power grid is off-grid, and the power support cannot be obtained from the power grid, but the photovoltaic energy storage system may still supplement the power of the battery through the photovoltaic power generation matrix, and when the battery power of the battery is higher than the preset safe output threshold, the connection power supply to the non-high-priority target loads and the battery may also be restored.
Referring to fig. 3, another embodiment of the intelligent load management method for a photovoltaic energy storage system according to the present application includes:
301. and receiving a switching-on instruction or a switching-off instruction of a user for the specified target load and the battery, wherein the specified target load is one of the target loads.
It can be understood that, by connecting an input/output device to a logic controller of the photovoltaic energy storage system, the embodiments of the present application may also issue a control command (an on command or an off command for a specified target load and a battery) to the logic controller through the input/output device, modify the control logic, and view relevant operating parameters in the photovoltaic energy storage system, for example, the input/output device is a display screen panel (load panel) or the like.
In addition, the photovoltaic energy storage system can be integrated with a wireless communication module, the wireless communication module is in communication connection with a logic controller of the photovoltaic energy storage system, so that a manager (or a user) can be in communication with the photovoltaic energy storage system through an intelligent terminal such as a mobile phone and a tablet, the photovoltaic energy storage system sends related operation parameters and the like in the photovoltaic energy storage system to the intelligent terminal of the manager (or the user) through the wireless communication module, and the user can conveniently check the related operation parameters in the photovoltaic energy storage system through the intelligent terminal; meanwhile, a manager (or a user) can also send a control instruction (an on instruction or an off instruction for a specified target load and a battery) to the photovoltaic energy storage system through the intelligent terminal, modify the control logic, check related operation parameters in the photovoltaic energy storage system and the like, so that the operation is more convenient and faster. For example, when the battery power of the photovoltaic energy storage system is small and the power grid is in an off-grid state, a user wants a certain target load with non-high priority to continue working, an instruction for modifying the priority can be sent to the photovoltaic energy storage system through the intelligent terminal, so that the target load with non-high priority becomes the target load with high priority; for another example, when the target loads of the photovoltaic energy storage system are more and are in a grid-connected state with a power grid, a user can accurately control the power consumption duration of each target load at any time, the power supply duration or the power supply time period of each target load can be set for the photovoltaic energy storage system through the intelligent terminal, and intelligent power supply management of the target loads is achieved.
302. And controlling the specified target load to be switched on and supply power to the battery according to the switching-on instruction.
303. And controlling the specified target load to disconnect the power supply of the battery according to the disconnection instruction.
In the foregoing embodiment, the intelligent load management method of the photovoltaic energy storage system is described, and referring to fig. 4, the intelligent load management device of the photovoltaic energy storage system in the following description, the intelligent load management device of the photovoltaic energy storage system in the embodiment of the present application includes:
the monitoring unit 401 is configured to monitor a connection state between the photovoltaic energy storage system and a power grid when the photovoltaic energy storage system is powered on by using a battery and a target load, where the connection state includes grid connection and grid disconnection;
a switching unit 402, configured to switch the target load to be connected to the power grid for power supply only in a preset low-electricity-price period if the connection state is grid-connected;
a disconnecting unit 403, configured to disconnect the target load from the battery for power supply when the battery power of the battery is lower than a preset safety output threshold if the connection state is off-grid.
The operations performed by the intelligent load management device according to the embodiment of the present application are similar to those performed in fig. 1, and are not described again here.
The intelligent load management device monitors the connection state of a photovoltaic energy storage system and a power grid when a battery is used for being connected with a target load for power supply, wherein the connection state comprises grid connection and grid disconnection; if the connection state is grid connection, the photovoltaic energy storage system is in a state of accepting power supply of a power grid, but the target load is switched to be connected with the power grid for power supply only in a preset low-electricity-price period, so that low-cost power supply mode selection is ensured; if the connection state is off-grid, the target load and the battery are disconnected for power supply when the battery electric quantity of the battery is lower than a preset safety output threshold value, so that the use safety of the photovoltaic energy storage system is ensured.
Referring to fig. 5, another embodiment of the intelligent load management device of a photovoltaic energy storage system of the present application includes:
the monitoring unit 501 is used for monitoring the connection state of the photovoltaic energy storage system and a power grid when the photovoltaic energy storage system is powered on by a battery and a target load, wherein the connection state comprises grid connection and grid disconnection;
the switching unit 502 is configured to switch the target load to be connected with the power grid for power supply only in a preset low-electricity-price period if the connection state is grid-connected;
a disconnecting unit 503, configured to disconnect the target load from the battery for power supply when the battery power of the battery is lower than a preset safety output threshold if the connection state is off-grid.
Optionally, the apparatus further comprises:
a determining unit 504, configured to determine whether a battery power of the battery is higher than a preset standard storage preset threshold, where the preset standard storage threshold is greater than the preset safety output threshold;
a stopping unit 505, configured to stop executing the step of switching the target load to be connected to the power grid for supplying power in a preset low power rate period if the battery power of the battery is higher than the standard storage preset threshold;
a triggering unit 506, configured to trigger a step of switching on a target load and the power grid during a preset low electricity price period if the battery power of the photovoltaic energy storage system is equal to or lower than the standard storage preset threshold.
Optionally, the apparatus further comprises:
a receiving unit 507, configured to receive an electricity price time period price table, where the electricity price time period price table records electricity prices corresponding to different time periods;
a defining unit 508 for defining a numerical value of the standard electricity price;
a setting unit 509 configured to set a period corresponding to a value of electricity lower than the standard electricity price in the electricity price period price table as a low electricity price period, and set a period corresponding to a value of electricity higher than the standard electricity price in the electricity price period price table as a high electricity price period.
Optionally, when the switching unit 502 switches the target load to be connected with the power grid for supplying power in a preset low-electricity-price period, specifically, the switching unit is configured to:
and switching the target load to be connected with the power grid for power supply and connecting a charging circuit of the battery with the power grid for charging in the preset low-electricity-price period.
Optionally, the apparatus further comprises:
the receiving unit 507 is further configured to receive a plurality of high-priority target loads with higher priorities, which are obtained by prioritizing all target loads connected by the battery;
when the disconnecting unit 503 disconnects the target load from the battery for power supply, it is specifically configured to:
keeping a high-priority target load of the target loads powered on with the battery, the high-priority target load belonging to a partial load of the target loads;
powering down non-high priority ones of the target loads from the battery;
and when the battery power of the battery is higher than a safety output preset threshold value, the connection power supply of the non-high-priority target load and the battery is recovered.
Optionally, the apparatus further comprises:
a receiving unit 507, further configured to receive a switch-on instruction or a switch-off instruction of a user for a specified target load and the battery, where the specified target load is one of the target loads;
the switching unit 502 is further configured to control the specified target load to switch on power supply with the battery according to the switch-on instruction;
the disconnection unit 503 is further configured to control the specified target load to disconnect power supply from the battery according to the disconnection instruction.
The operations performed by the intelligent load management device according to the embodiment of the present application are similar to those performed in fig. 2 and fig. 3, and are not described again here.
Referring to fig. 6, a computer device in an embodiment of the present application is described below, where an embodiment of the computer device in the embodiment of the present application includes:
the computer device 600 may include one or more processors (CPUs) 601 and a memory 602, where one or more applications or data are stored in the memory 602. Wherein the memory 602 is volatile storage or persistent storage. The program stored in the memory 602 may include one or more modules, each of which may include a sequence of instructions operating on a computer device. Still further, the processor 601 may be arranged in communication with the memory 602 to execute a series of instruction operations in the memory 602 on the computer device 600. The computer device 600 may also include one or more network interfaces 603, one or more input-output interfaces 604, and/or one or more operating systems, such as Windows Server, Mac OS, Unix, Linux, FreeBSD, etc. The processor 601 may execute the operations executed by the master or the slave in the embodiments shown in fig. 1 to fig. 3, and details thereof are not repeated herein.
In the several embodiments provided in the embodiments of the present application, it should be understood by those skilled in the art that the disclosed system, apparatus and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the unit is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. An intelligent load management method of a photovoltaic energy storage system is characterized by comprising the following steps:
when a photovoltaic energy storage system is powered on by a battery and a target load, monitoring the connection state of the photovoltaic energy storage system and a power grid, wherein the connection state comprises grid connection and grid disconnection;
if the connection state is grid connection, switching the target load to be connected with the power grid for power supply only in a preset low-electricity-price period;
and if the connection state is off-grid, disconnecting the target load from the battery to supply power when the battery power of the battery is lower than a preset safety output threshold value.
2. The smart load management method according to claim 1, wherein after determining that the connection status is grid-connected, before switching the target load to be connected to the grid for a preset low electricity rate period, the method further comprises:
judging whether the battery power of the battery is higher than a preset standard storage preset threshold value, wherein the standard storage preset threshold value is larger than the safety output preset threshold value;
if the battery power of the battery is higher than the standard storage preset threshold value, stopping executing a preset low-electricity-price time period to switch the target load to be connected with the power grid for power supply;
and if the battery electric quantity of the photovoltaic energy storage system is equal to or lower than the standard storage preset threshold value, triggering the connection of a target load and the power grid in a preset low-electricity-price period.
3. The smart load management method according to claim 1, wherein before switching the target load into the power grid for a preset low electricity rate period, the method further comprises:
receiving an electricity price time period price table, wherein the electricity price time period price table records electricity prices corresponding to different time periods;
defining the value of the standard electricity price;
setting a period corresponding to a price of electricity lower than the value of the standard price of electricity in the price table of electricity price period as a low electricity price period, and setting a period corresponding to a price of electricity higher than the value of the standard price of electricity in the price table of electricity price period as a high electricity price period.
4. The smart load management method according to claim 1, wherein switching the target load to be powered on the grid for a preset low electricity rate period comprises:
and switching the target load to be connected with the power grid for power supply and connecting a charging circuit of the battery with the power grid for charging in the preset low-electricity-price period.
5. The smart load management method of claim 1 wherein prior to disconnecting the target load from the battery, the method further comprises:
receiving and prioritizing all target loads connected by the battery power supply, and determining a plurality of high-priority target loads with higher priorities;
disconnecting the target load from the battery comprises:
keeping a high-priority target load of the target loads powered on with the battery, the high-priority target load belonging to a partial load of the target loads;
powering down non-high priority ones of the target loads from the battery;
and when the battery power of the battery is higher than a safety output preset threshold value, the connection power supply of the non-high-priority target load and the battery is recovered.
6. The intelligent load management method according to claim 1, further comprising:
receiving a switching-on instruction or a switching-off instruction of a user for a specified target load and the battery, wherein the specified target load is one of the target loads;
controlling the specified target load to be switched on and supply power to the battery according to the switching-on instruction;
and controlling the specified target load to cut off the power supply with the battery according to the cut-off instruction.
7. An intelligent load management device of a photovoltaic energy storage system, comprising:
the monitoring unit is used for monitoring the connection state of the photovoltaic energy storage system and a power grid when the photovoltaic energy storage system is powered on by a battery and a target load, and the connection state comprises grid connection and grid disconnection;
the switching unit is used for switching the target load to be connected with the power grid for power supply only in a preset low-electricity-price period if the connection state is grid connection;
and the disconnection unit is used for disconnecting the target load from the battery to supply power when the battery power of the battery is lower than a preset safety output threshold value if the connection state is off-grid.
8. A computer device, comprising:
the system comprises a processor, a memory, a bus, an input/output interface and a network interface;
the processor is connected with the memory, the input/output interface and the network interface through a bus;
the memory stores a program;
the processor, when executing the program stored in the memory, implements the intelligent load management method of any of claims 1 to 6.
9. A computer storage medium having stored therein instructions that, when executed on a computer, cause the computer to perform the intelligent load management method of any preceding claim 1 to 6.
10. A computer program product, which, when executed on a computer, causes the computer to perform the intelligent load management method of any one of the preceding claims 1 to 6.
CN202210473754.3A 2022-04-29 2022-04-29 Intelligent load management method of photovoltaic energy storage system and related device Pending CN114899866A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
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CN115963424A (en) * 2023-03-16 2023-04-14 深圳市德兰明海新能源股份有限公司 Energy storage power supply load access state detection and energy-saving control method thereof and energy storage power supply
CN117078326A (en) * 2023-10-17 2023-11-17 深圳鹏城新能科技有限公司 Lease charging method, system and medium for photovoltaic energy storage device
CN117113036A (en) * 2023-10-20 2023-11-24 中国铁塔股份有限公司吉林省分公司 Photovoltaic equipment analysis method and system based on energy management system
CN117856313A (en) * 2024-03-04 2024-04-09 深圳市沃尔德储能技术有限公司 Control method, device and equipment of energy storage battery and storage medium

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115963424A (en) * 2023-03-16 2023-04-14 深圳市德兰明海新能源股份有限公司 Energy storage power supply load access state detection and energy-saving control method thereof and energy storage power supply
CN117078326A (en) * 2023-10-17 2023-11-17 深圳鹏城新能科技有限公司 Lease charging method, system and medium for photovoltaic energy storage device
CN117113036A (en) * 2023-10-20 2023-11-24 中国铁塔股份有限公司吉林省分公司 Photovoltaic equipment analysis method and system based on energy management system
CN117113036B (en) * 2023-10-20 2024-01-26 中国铁塔股份有限公司吉林省分公司 Photovoltaic equipment analysis method and system based on energy management system
CN117856313A (en) * 2024-03-04 2024-04-09 深圳市沃尔德储能技术有限公司 Control method, device and equipment of energy storage battery and storage medium
CN117856313B (en) * 2024-03-04 2024-05-07 深圳市沃尔德储能技术有限公司 Control method, device and equipment of energy storage battery and storage medium

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