CN113346530A - Intelligent management control system and method for multi-energy optimization of optical energy storage source system - Google Patents

Intelligent management control system and method for multi-energy optimization of optical energy storage source system Download PDF

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CN113346530A
CN113346530A CN202110646621.7A CN202110646621A CN113346530A CN 113346530 A CN113346530 A CN 113346530A CN 202110646621 A CN202110646621 A CN 202110646621A CN 113346530 A CN113346530 A CN 113346530A
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energy storage
power
load
power generation
demand
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汪义旺
张波
宋佳
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Suzhou Vocational University
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • 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
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48—Controlling the sharing of the in-phase component
    • 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
    • H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • 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)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to a multifunctional optimization intelligent management control system and method for an optical energy storage source system, which comprises a control scheduling decision centerM conSaid control scheduling decision centerM conRespectively with the photovoltaic power generation side real-time power acquisitionP solarEnergy storage type identification SsortEnergy storage module electric quantity collectionE n_socThe energy storage system can output total powerP n_batUser side energy demand priorityP seq_nAnd corresponding power requirementsP req_nTotal power demand of user loadP n _ loadConnected to receive energy data signalsAnd the control scheduling decision centerM conOutput terminal and control execution unitC outAnd the link is used for outputting decision information. The photovoltaic energy storage control system can be compatible with energy comprehensive optimization control management of different types of loads and various energy storage forms, enhances the availability and flexibility of the system, and can meet different photovoltaic energy storage application scenes.

Description

Intelligent management control system and method for multi-energy optimization of optical energy storage source system
Technical Field
The invention relates to the technical field of control and management of an optical energy storage source system, in particular to a system and a method for intelligent management and control of multi-energy optimization of the optical energy storage source system.
Background
Photovoltaic power generation as a clean energy has been widely popularized and applied in large scale, the power generation performance of photovoltaic power generation as a renewable energy is related to environmental parameters such as illumination intensity, fluctuation is brought to photovoltaic power generation due to changes of the environmental parameters, and unbalanced matching between power generation and power utilization is also caused. With the progress and rapid development of various energy storage technologies, the combined application of the energy storage system and the photovoltaic power generation system can effectively solve the fluctuation of photovoltaic power generation and improve the energy availability stability of the whole energy system, and the light storage system also becomes one of the important forms of clean energy power supply and utilization. Management and scheduling control of various energy power flows are involved in an optical storage system, and due to the richness of energy storage allocation types of the optical storage system and the diversification of user side scenes, how to realize efficient and accurate control of the various energy power flows becomes the key of system optimization operation.
Aiming at the problems, the invention provides a system and a method for intelligent management and control of multi-energy optimization of an optical energy storage system, which are used for accurately acquiring data of energy resources with various powers in real time, meeting the energy management requirements of equipped systems with different solar photovoltaic and different energy storage types, optimizing the energy utilization efficiency to the maximum extent and improving the energy supply reliability of the optical energy storage system.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provides a system and a method for intelligent management control of multi-energy optimization of an optical energy storage source system.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
a multi-energy optimization intelligent management control system for an optical energy storage source system comprises a control scheduling decision centerM conSaid control scheduling decision centerM conRespectively with the photovoltaic power generation side real-time power acquisitionP solarEnergy storage type identification SsortEnergy storage module electric quantity collectionE n_socThe energy storage system can output total powerP n_batUser side energy demand priorityP seq_nAnd corresponding power requirementsP req_nTotal power demand of user loadP n _ loadA connection for receiving energy data information, the control scheduling decision centerM conOutput terminal and control execution unitC outAnd the link is used for outputting decision information.
Further, the photovoltaic power generation side collects power in real timeP solarThe photovoltaic power generation system is connected with a real-time environment parameter of a photovoltaic power generation end and a power generation data acquisition end and is used for collecting and calculating power data information;
the energy storage type identification SsortFrom a single stored energyS sort_sAnd hybrid energy storageS sort_hComposition is carried out;
electric quantity collection of each energy storage moduleE n_socCollecting state data information SOC of each energy storage of the energy storage system;
the control scheduling decision centerM conA control unit for controlling the processor;
the control execution unitC outAnd outputting control scheduling signals and connecting the control scheduling signals to the control execution circuits.
A multi-energy optimization intelligent management control method for an optical energy storage source system comprises the following steps:
step 1) reading energy storage type identification Ssort：
Figure 747816DEST_PATH_IMAGE002
；
Step 2) collecting the electric quantity of each energy storage moduleE n_socCalculating and sequencing electric quantity of different energy storage modules for sequencing, and outputting total power by the energy storage systemP n_bat：
Figure 317338DEST_PATH_IMAGE004
，
Figure 858041DEST_PATH_IMAGE006
；
Step 3) sequencing the energy demand priority of the user sideP seq_nAnd calculating the corresponding power requirementP req_nTotal power demand of user loadP n _ load：
Figure 330873DEST_PATH_IMAGE008
，
Figure 197198DEST_PATH_IMAGE010
；
Step 4) real-time collection of photovoltaic power generation side real-time power collectionP solar(t) comparing the photovoltaic power generation real-time collected power with the energy storage electric quantity demand and the total user load real-time power demand, specifically:
a. if the user side has the power demand, further comparing whether the real-time power generation total power meets the power demand of the load, and if so, directly driving the load power demand by the photovoltaic power generation side; if the photovoltaic power generation power is lower than the load requirement, judging whether the residual electric quantity of the energy storage system can meet the discharge requirement, if so, supplying power to the user side load by the photovoltaic power generation side and the energy storage system or the independent energy storage system, and carrying out ordered energy scheduling power supply from high to low according to the requirement of the energy priority of the load;
b. if the user side load has no power demand or the photovoltaic power generation side power is surplus, further judging whether the energy storage system has a charging demand: and if the charging requirement exists, further judging according to different energy storage types, environmental parameters of photovoltaic power generation and power generation amount.
Step 5) carrying out optimized dispatching control according to the load condition of the user side, the power of the photovoltaic power generation side and the power of each unit of the energy storage system, and specifically comprising the following steps:
d. when the photovoltaic electric quantity is sufficient, the photovoltaic power generation side directly supplies power to a user side load:
Figure 457278DEST_PATH_IMAGE012
;
e. if the photovoltaic power generation power is lower than the load demand, the photovoltaic power generation side + the energy storage system or the independent energy storage system (P solar= 0) power the user-side load:
Figure 801671DEST_PATH_IMAGE014
;
f. if the load demand is small or no load demand (P n_load= 0), the photovoltaic power generation side directly charges the battery of the energy storage system, the charging is carried out according to the set charging mode,P N_batfor rated stored energy output power:
Figure 361966DEST_PATH_IMAGE016
；
step 6) executing control scheduling output signal C according to optimized scheduling algorithmoutAnd the high-efficiency operation of the whole optical storage system is optimally controlled.
Preferably, in the step 5), if the power of the photovoltaic power generation side + the energy storage system is lower than the total power demand of all the loads, the following steps are carried out:
Figure 960044DEST_PATH_IMAGE018
then, carry out power distribution according to load power consumption priority, satisfy the load power consumption demand that the priority is the highest, guarantee the power supply according to the height of priority:
Figure 972999DEST_PATH_IMAGE020
。
preferably, in the step 5), if the power on the photovoltaic power generation side is sufficient, the following steps are carried out:
Figure 386663DEST_PATH_IMAGE022
and performing priority charging management according to different characteristics of each system according to the energy storage type, and performing optimized charging management according to the charging priority, wherein for the mixed type energy storage system, a formula is utilized:
Figure 4726DEST_PATH_IMAGE024
and (3) performing charging control:
Figure 275170DEST_PATH_IMAGE026
in the formula, c is the maximum number of energy storage modules capable of meeting the charging power requirement.
The invention has the beneficial effects that:
the control system can be compatible with comprehensive energy optimization control management of different types of loads and various energy storage forms according to the characteristic features of the photovoltaic energy storage system, enhances the availability and flexibility of the system, and can meet different photovoltaic energy storage application scenes.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a flow chart of a method of the present invention;
FIG. 3a is a schematic block diagram of the photovoltaic power generation side of the present invention directly powering a user side load;
FIG. 3b is a schematic block diagram of the power supply guarantee according to the priority level;
FIG. 3c shows a single energy storage system according to the present inventionP solar= 0) schematic block diagram when supplying power to a user-side load;
FIG. 3d is a schematic block diagram of the photovoltaic power generation side of the present invention with power satisfying the user side load and charging the energy storage system;
fig. 3e is a schematic block diagram of the photovoltaic generation side directly charging the energy storage system when the user side load is in demand of no power.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
As shown in fig. 1, an intelligent management control system for optimizing the multiple energy of an optical energy storage system includes a control scheduling decision centerM conSaid control scheduling decision centerM conRespectively with the photovoltaic power generation side real-time power acquisitionP solarEnergy storage type identification SsortEnergy storage module electric quantity collectionE n_socThe energy storage system can output total powerP n_batUser side energy demand priorityP seq_nAnd corresponding power requirementsP req_nTotal power demand of user loadP n _ loadA connection for receiving energy data information, the control scheduling decision centerM conOutput terminal and control execution unitC outAnd the link is used for outputting decision information.
Photovoltaic power generation side real-time power acquisitionP solarThe photovoltaic power generation system is connected with a real-time environment parameter of a photovoltaic power generation end and a power generation data acquisition end and is used for collecting and calculating power data information;
the energy storage type identification SsortFrom a single stored energyS sort_sAnd hybrid energy storageS sort_hComposition is carried out;
electric quantity collection of each energy storage moduleE n_socCollecting state data information SOC of each energy storage of the energy storage system;
the control scheduling decision centerM conA control unit for controlling the processor;
the control execution unitC outAnd outputting control scheduling signals and connecting the control scheduling signals to the control execution circuits.
As shown in fig. 2, a method for intelligent management and control of multi-energy optimization of an optical energy storage system includes the following steps:
step 1) reading energy storage type identification Ssort：
Figure 244263DEST_PATH_IMAGE002
；
Step 2) energy storage of each dieBlock power collectionE n_socCalculating and sequencing electric quantity of different energy storage modules for sequencing, and outputting total power by the energy storage systemP n_bat：
Figure 697504DEST_PATH_IMAGE004
，
Figure 701232DEST_PATH_IMAGE006
；
Step 3) sequencing the energy demand priority of the user sideP seq_nAnd calculating the corresponding power requirementP req_nTotal power demand of user loadP n _ load：
Figure 876998DEST_PATH_IMAGE008
，
Figure 598967DEST_PATH_IMAGE010
；
Step 4) real-time collection of photovoltaic power generation side real-time power collectionP solar(t) comparing the photovoltaic power generation real-time collected power with the energy storage electric quantity demand and the total user load real-time power demand, specifically:
a. if the user side has the power demand, further comparing whether the real-time power generation total power meets the power demand of the load, and if so, directly driving the load power demand by the photovoltaic power generation side; if the photovoltaic power generation power is lower than the load requirement, judging whether the residual electric quantity of the energy storage system can meet the discharge requirement, if so, supplying power to the user side load by the photovoltaic power generation side and the energy storage system or the independent energy storage system, and carrying out ordered energy scheduling power supply from high to low according to the requirement of the energy priority of the load;
b. if the user side load has no power demand or the photovoltaic power generation side power is surplus, further judging whether the energy storage system has a charging demand: if the charging requirement exists, further judgment is carried out according to different energy storage types, environmental parameters of photovoltaic power generation and power generation amount, and as shown in fig. 3e, when a user side loads no power demand, the photovoltaic power generation side directly charges the energy storage system.
Step 5) carrying out optimized dispatching control according to the load condition of the user side, the power of the photovoltaic power generation side and the power of each unit of the energy storage system, and specifically comprising the following steps:
d. as shown in fig. 3a, when the photovoltaic power is sufficient, the photovoltaic power generation side directly supplies power to the user side load:
Figure 885592DEST_PATH_IMAGE012
;
e. if the photovoltaic power generation power is lower than the load demand, the photovoltaic power generation side + the energy storage system or the independent energy storage system (P solar= 0) power the user-side load:
Figure DEST_PATH_IMAGE027
as shown in FIG. 3c, a single energy storage system (P solar= 0) for supplying power to a user-side load.
f. If the load demand is small or no load demand (P n_load= 0), the photovoltaic power generation side directly charges the battery of the energy storage system, as shown in fig. 3d, the photovoltaic power generation side charges the energy storage system in addition to meeting the load, charges according to the set charging mode,P N_batfor rated stored energy output power:
Figure 304678DEST_PATH_IMAGE016
；
step 6) executing control scheduling output signal C according to optimized scheduling algorithmoutAnd the high-efficiency operation of the whole optical storage system is optimally controlled.
In the step 5), if the power of the photovoltaic power generation side + the energy storage system is lower than the total power demand of all the loads, that is:
Figure 120187DEST_PATH_IMAGE018
as shown in fig. 3b, power is distributed according to the priority of load power consumption, the load power consumption requirement with the highest priority is met, and power supply is guaranteed according to the priority:
Figure 63873DEST_PATH_IMAGE020
。
in the step 5), if the power of the photovoltaic power generation side is sufficient, the following steps are carried out:
Figure 357451DEST_PATH_IMAGE022
and performing priority charging management according to different characteristics of each system according to the energy storage type, and performing optimized charging management according to the charging priority, wherein for the mixed type energy storage system, a formula is utilized:
Figure 866929DEST_PATH_IMAGE028
and (3) performing charging control:
Figure 620384DEST_PATH_IMAGE026
in the formula, c is the maximum number of energy storage modules capable of meeting the charging power requirement.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (5)

1. The system is characterized by comprising a control scheduling decision centerM conSaid control scheduling decision centerM conRespectively with the photovoltaic power generation side real-time power acquisitionP solarEnergy storage type identification SsortEnergy storage module electric quantity collectionE n_socThe energy storage system can output total powerP n_batUser side energyPriority of demandP seq_nAnd corresponding power requirementsP req_nTotal power demand of user loadP n _ loadA connection for receiving energy data information, the control scheduling decision centerM conOutput terminal and control execution unitC outAnd the link is used for outputting decision information.
2. The system of claim, wherein the photovoltaic power generation side real-time power collection is performedP solarThe photovoltaic power generation system is connected with a real-time environment parameter of a photovoltaic power generation end and a power generation data acquisition end and is used for collecting and calculating power data information;
the energy storage type identification SsortFrom a single stored energyS sort_sAnd hybrid energy storageS sort_hComposition is carried out;
electric quantity collection of each energy storage moduleE n_socCollecting state data information SOC of each energy storage of the energy storage system;
the control scheduling decision centerM conA control unit for controlling the processor;
the control execution unitC outAnd outputting control scheduling signals and connecting the control scheduling signals to the control execution circuits.
3. A light energy storage source system multi-energy optimization intelligent management control method is characterized by comprising the following steps:
step 1) reading energy storage type identification Ssort：
Figure DEST_PATH_IMAGE001
；
Step 2) collecting the electric quantity of each energy storage moduleE n_socCalculating and sequencing electric quantity of different energy storage modules for sequencing, and outputting total power by the energy storage systemP n_bat：
Figure 344677DEST_PATH_IMAGE002
，
Figure DEST_PATH_IMAGE003
；
Step 3) sequencing the energy demand priority of the user sideP seq_nAnd calculating the corresponding power requirementP req_nTotal power demand of user loadP n _ load：
Figure 831153DEST_PATH_IMAGE004
，
Figure DEST_PATH_IMAGE005
；
Step 4) real-time collection of photovoltaic power generation side real-time power collectionP solar(t) comparing the photovoltaic power generation real-time collected power with the energy storage electric quantity demand and the total user load real-time power demand, specifically:
a. if the user side has the power demand, further comparing whether the real-time power generation total power meets the power demand of the load, and if so, directly driving the load power demand by the photovoltaic power generation side; if the photovoltaic power generation power is lower than the load requirement, judging whether the residual electric quantity of the energy storage system can meet the discharge requirement, if so, supplying power to the user side load by the photovoltaic power generation side and the energy storage system or the independent energy storage system, and carrying out ordered energy scheduling power supply from high to low according to the requirement of the energy priority of the load;
b. if the user side load has no power demand or the photovoltaic power generation side power is surplus, further judging whether the energy storage system has a charging demand: if the charging demand exists, further judging according to different energy storage types, environmental parameters of photovoltaic power generation and generated energy, and 5) carrying out optimized dispatching control according to the load condition of the user side, the power of the photovoltaic power generation side and the power of each unit of the energy storage system, wherein the method specifically comprises the following steps:
d. when the photovoltaic electric quantity is sufficient, the photovoltaic power generation side directly supplies power to a user side load:
Figure 824255DEST_PATH_IMAGE006
;
e. if the photovoltaic power generation power is lower than the load demand, the photovoltaic power generation side + the energy storage system or the independent energy storage system (P solar= 0) power the user-side load:
Figure 560130DEST_PATH_IMAGE007
;
f. if the load demand is small or no load demand (P n_load= 0), the photovoltaic power generation side directly charges the battery of the energy storage system, the charging is carried out according to the set charging mode,P N_batfor rated stored energy output power:
Figure 227871DEST_PATH_IMAGE008
；
step 6) executing control scheduling output signal C according to optimized scheduling algorithmoutAnd the high-efficiency operation of the whole optical storage system is optimally controlled.
4. The method for intelligent management and control of multi-energy optimization of optical energy storage system according to claim 3, wherein in step 5), if the power of the pv power generation side + energy storage system is lower than the total power requirement of all the loads, the method comprises:
Figure 365592DEST_PATH_IMAGE009
then, carry out power distribution according to load power consumption priority, satisfy the load power consumption demand that the priority is the highest, guarantee the power supply according to the height of priority:
Figure 562218DEST_PATH_IMAGE010
。
5. the method for intelligent management and control of multi-energy optimization of an optical energy storage source system according to claim 3, wherein in the step 5), if the power of the photovoltaic power generation side is sufficient, the method comprises:
Figure 785389DEST_PATH_IMAGE011
and performing priority charging management according to different characteristics of each system according to the energy storage type, and performing optimized charging management according to the charging priority, wherein for the mixed type energy storage system, a formula is utilized:
Figure 991242DEST_PATH_IMAGE012
and (3) performing charging control:
Figure 216425DEST_PATH_IMAGE013
in the formula, c is the maximum number of energy storage modules capable of meeting the charging power requirement.
CN202110646621.7A 2021-06-10 2021-06-10 Intelligent management control system and method for multi-energy optimization of optical energy storage source system Pending CN113346530A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114256982A (en) * 2021-12-24 2022-03-29 珠海格力电器股份有限公司 Light storage and charging integrated air conditioning system, control method thereof and storage medium
CN114977227A (en) * 2022-04-17 2022-08-30 深圳市未蓝新能源科技有限公司 Control method for multiple sets of energy storage systems on user side
CN117996803A (en) * 2024-04-03 2024-05-07 常州奇睿科技有限公司 Multi-energy complementary energy storage system and method based on power grid
CN118017620A (en) * 2024-04-09 2024-05-10 江苏谷峰电力科技股份有限公司 Power distribution method and system for portable light-storage power supply device under multiple scenes
CN117996803B (en) * 2024-04-03 2024-06-04 常州奇睿科技有限公司 Multi-energy complementary energy storage system and method based on power grid

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114256982A (en) * 2021-12-24 2022-03-29 珠海格力电器股份有限公司 Light storage and charging integrated air conditioning system, control method thereof and storage medium
CN114977227A (en) * 2022-04-17 2022-08-30 深圳市未蓝新能源科技有限公司 Control method for multiple sets of energy storage systems on user side
CN117996803A (en) * 2024-04-03 2024-05-07 常州奇睿科技有限公司 Multi-energy complementary energy storage system and method based on power grid
CN117996803B (en) * 2024-04-03 2024-06-04 常州奇睿科技有限公司 Multi-energy complementary energy storage system and method based on power grid
CN118017620A (en) * 2024-04-09 2024-05-10 江苏谷峰电力科技股份有限公司 Power distribution method and system for portable light-storage power supply device under multiple scenes

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