CN112865670A - Energy optimization management system, method, computer device and storage medium - Google Patents
Energy optimization management system, method, computer device and storage medium Download PDFInfo
- Publication number
- CN112865670A CN112865670A CN202110238044.8A CN202110238044A CN112865670A CN 112865670 A CN112865670 A CN 112865670A CN 202110238044 A CN202110238044 A CN 202110238044A CN 112865670 A CN112865670 A CN 112865670A
- Authority
- CN
- China
- Prior art keywords
- power
- load
- switch
- photovoltaic
- energy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005457 optimization Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000003860 storage Methods 0.000 title claims abstract description 15
- 238000010248 power generation Methods 0.000 claims abstract description 38
- 238000004146 energy storage Methods 0.000 claims abstract description 30
- 238000007726 management method Methods 0.000 claims description 44
- 238000004590 computer program Methods 0.000 claims description 14
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000005520 cutting process Methods 0.000 claims description 3
- 230000003213 activating effect Effects 0.000 claims 1
- 238000004364 calculation method Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000005055 memory storage Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012261 overproduction Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S10/00—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
-
- 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
- H02J1/00—Circuit arrangements for dc mains or dc distribution networks
- H02J1/10—Parallel operation of dc sources
-
- 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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S10/00—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
- H02S10/20—Systems characterised by their energy storage 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
- 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
Landscapes
- 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 provides an energy optimization management system, which comprises an alternating current system, a photovoltaic power generation system, an energy storage system, a power consumer load and a direct current bus, wherein the alternating current system comprises: the photovoltaic power generation system is connected with a direct current bus through a first DC/DC converter and a first switch S1; the energy storage system is connected with the direct current bus through a second DC/DC converter and a second switch S2; the alternating current system is connected with the direct current bus through the first AC/DC converter and the third switch S3, and the photovoltaic power generation system is connected with the alternating current system through the fourth switch S4; the power consumer load is connected to the DC bus via a second AC/DC converter. The invention also provides a corresponding method, a computer device and a storage medium. The invention can realize the optimal scheduling of the system energy, and has simple calculation and strong performability.
Description
Technical Field
The invention relates to the technical field of photovoltaic-energy storage grid connection, in particular to an energy optimization management system, an energy optimization management method, a computer device and a storage medium.
Background
Renewable energy is a good means to achieve the current international green energy development goal, but it has the disadvantages of intermittency and uncertainty. In the prior art, this deficiency is often solved in a hybrid manner, such as by using two or more complementary resources to form a system, or by using a power source with stored energy, such as a photovoltaic-energy storage system. In the reuse technology, the consumption capacity of new energy is improved by utilizing the flexible adjustment capacity of the electric power and the electric quantity of the stored energy.
However, for photovoltaic-energy storage systems, the existing research mainly considers the problems of parameter selection and minimization of the cost of purchasing power from the power grid, but lacks research on technical limitations, such as the threshold value of the bus voltage. In addition, synchronization problems still exist and management of critical situations caused by overproduction of renewable energy and energy shortages is also neglected.
Disclosure of Invention
The invention aims to solve the technical problems and needs, and provides an energy optimization management system, an energy optimization management method, a computer device and a storage medium.
The technical scheme adopted by the invention is as follows: as an aspect of the present invention, there is provided an energy optimization management system comprising an ac system, a photovoltaic power generation system, an energy storage system, a power consumer load, and a dc bus, wherein:
the photovoltaic power generation system is connected with a direct current bus through a first DC/DC converter and a first switch S1;
the energy storage system is connected with the direct current bus through a second DC/DC converter and a second switch S2;
the alternating current system is connected with the direct current bus through the first AC/DC converter and the third switch S3, and the photovoltaic power generation system is connected with the alternating current system through the fourth switch S4;
the power consumer load is connected to the DC bus via a second AC/DC converter.
Preferably, further comprising:
and the management unit is used for controlling the first switch S1, the second switch S2, the third switch S3 and the fourth switch S4 to realize energy optimal regulation and control management.
Preferably, the management unit controls the first switch S1, the second switch S2, the third switch S3 and the fourth switch S4 to satisfy the following condition:
e3+e4≤1
e1+e2+e3≤2
Pbtmin≤Pbt≤Pbtmax
wherein e isiIs a switch SiI is 1 to 4, SiWhen closing, ei＝1；SiWhen disconnected, ei＝0；
PgdFeeding power into the grid, PpvFor photovoltaic output power, PbtFor storing energy, PldIs the load power, ηad1、ηad2、ηdd1、ηdd2Conversion efficiencies of the first AC/DC converter, the second AC/DC converter, the first DC/DC converter and the second DC/DC converter respectively;
Pbtminand PbtmaxThe minimum power and the maximum power of the stored energy.
Accordingly, as another aspect of the present invention, there is also provided an energy optimization management method applied to the foregoing system, the method including the steps of:
step S1, collecting photovoltaic power generation system at time tPhotovoltaic output power PpvLoad power PldAnd an energy storage state of charge, SOC;
step S2, judging PpvWhether or not to sum with PldEqual; if the two are equal, then e1＝1，e2～e4When the photovoltaic power generation system supplies power to the electric power user load, P is set to be 0gd＝0，P bt0; if the two are not equal, go to step S3;
step S3, judging PpvWhether or not greater than Pld(ii) a If yes, go to step S4; if not, go to step S6;
step S4, determining whether SOC is at maximum value SOCmaxA state; if so, then e1＝e4＝1，e2＝e3When the power of the photovoltaic power generation system is equal to 0, a part of power of the photovoltaic power generation system supplies power to a power consumer load, the rest part of power of the photovoltaic power generation system supplies power to an alternating current system, and P is enabledgd＝Ppv-Pld，P bt0; if not, go to step S5;
step S5, judging PbtWhether or not greater than Ppv-Pld(ii) a If so, then e1＝e2＝1，e3＝e 40, the photovoltaic power generation system supplies power to the electric consumer load and the energy storage system, so that the SOC of the energy storage is increased, P gd0; if not, then e1＝e2＝e4＝1，e3When the residual electric quantity is on the net, the SOC of the energy storage system is increased, and P isgd＝Ppv-Pld-Pbt；
Step S6, judging whether SOC is at minimum value SOCminA state; if so, then e1＝e3＝1，e2＝e4When the power is equal to 0, the photovoltaic power generation system and the alternating current system supply power to the power consumer load, and P is enabledgd＝Pld-Ppv，P bt0; if not, go to step S7;
step S7, judging PbtWhether or not greater than Pld-Ppv(ii) a If so, then e1＝e2＝1，e3＝e 40, the photovoltaic system and the energy storage system supply power to the consumer load together, so that the SOC of the stored energy is reduced, P gd0; if not, then e1＝e3＝1，e2＝e4When the photovoltaic power generation system and the alternating current system supply power to the power consumer load together, the power consumer load is enabled to P0gd＝Pld-Ppv。
Preferably, in steps S6 and S7, if all the power supply power still cannot meet the demand of the load, the local management system is started, and whether the local management system is powered on is determined according to the load type, so as to reduce the load demand; wherein, the load can be divided into two types, fixed load and mobile load; the mobile load can be divided into a reducible load, an interruptible load and an uninterruptable load.
Preferably, the local management system is started, and whether the local management system is powered on is determined according to the load type, so that the steps of reducing the load demand are specifically performed in the following order:
the local management system reduces the power consumption of the interruptible load by 50% by cutting off the interruptible load from the start of limiting the load demand.
As a further aspect of the present invention, there is also provided a computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method when executing the computer program.
As a further aspect of the present invention, there is also provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in the aforementioned method.
The implementation of the invention has the following beneficial effects:
the invention provides an energy optimization management system, method, computer device and storage medium; by photovoltaic-energy storage grid connection, the alternating current-direct current hybrid grid connection structure provided by the embodiment is utilized, and the control on the interconnection switch between the key equipment and the direct current bus is realized, so that the optimal scheduling of system energy is realized, the calculation is simple, the performability is strong, and the dependence on a power grid is reduced while the power supply requirement of a user is met;
meanwhile, in the embodiment of the invention, compared with other optimization strategies, simplicity and low-cost implementation of algorithm development for solving the energy management problem are considered. The system provided by the invention does not need more memory storage space, does not need to solve a complex mathematical equation to realize optimization, can respond to the user requirement in real time, and considers the influence of the loss caused by the power electronic converter on the system optimization.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is within the scope of the present invention for those skilled in the art to obtain other drawings based on the drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of an embodiment of an energy optimization management system provided in the present invention;
fig. 2 is a schematic flowchart of an embodiment of an energy optimization management method according to the present invention;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
To describe the present invention more specifically, the following detailed description of the technical solution and the related principles of the present invention is made with reference to the drawings and the detailed description of the present invention.
Fig. 1 is a schematic structural diagram illustrating an embodiment of an energy optimization management system provided by the present invention; in this embodiment, the energy optimization management system includes an ac system 1 (i.e. a power grid), a photovoltaic power generation system 2, an energy storage system 3, an electric consumer load 4, and a dc bus 5, where:
the photovoltaic power generation system 3 is connected with a direct current bus 5 through a first DC/DC converter 6 and a first switch S1;
the energy storage system 3 is connected with the direct current bus 5 through a second DC/DC converter 7 and a second switch S2;
the alternating current system 1 is connected with the direct current bus 5 through the first AC/DC converter 8 and the third switch S3, and the photovoltaic power generation system 2 is connected with the alternating current system 1 through the fourth switch S4;
the power consumer load 4 is connected to the DC bus via a second AC/DC converter 9.
In the specific example of the present invention, the management unit 10 is further configured to implement energy-optimized regulation and control management by controlling the first switch S1, the second switch S2, the third switch S3, and the fourth switch S4.
More specifically, the management unit controls the first switch S1, the second switch S2, the third switch S3, and the fourth switch S4 to satisfy the following condition:
first, the principle of conservation of energy needs to be satisfied:
wherein e isiIs a switch SiI is 1 to 4, SiWhen closing, ei＝1；SiWhen disconnected, ei＝0；
PgdFeeding power into the grid, PpvFor photovoltaic output power, PbtFor storing energy, PldIs the load power, ηad1、ηad2、ηdd1、ηdd2Conversion efficiencies of the first AC/DC converter, the second AC/DC converter, the first DC/DC converter and the second DC/DC converter respectively;
secondly, the power system can not only receive photovoltaic electric energy, but also supply power to the power load, and the following requirements are met:
e3+e4≤1
thirdly, the photovoltaic power generation system, the energy storage system and the alternating current system (namely, the power system) can not supply power to the load of the power consumer at the same time, namely, the following requirements are met:
e1+e2+e3≤2
fourthly, the power of the energy storage system is limited by the maximum power and the minimum power, namely, the following conditions are met:
Pbtmin≤Pbt≤Pbtmax
wherein, PbtminAnd PbtmaxThe minimum power and the maximum power of the stored energy.
Fig. 2 is a schematic flow chart illustrating an embodiment of an energy optimization management method according to the present invention; which is applied in a system as shown in fig. 1, the method comprising the steps of:
step S1: photovoltaic output power P of photovoltaic power generation system at time t is collectedpvLoad power PldAnd an energy storage state of charge, SOC;
step S2: judgment of PpvWhether or not to sum with PldEqual; if the two are equal, then e1＝1，e2～e4When the photovoltaic power generation system supplies power to the electric power user load, P is set to be 0gd＝0，P bt0; if the two are not equal, go to step S3;
step S3: judgment of PpvWhether or not greater than Pld(ii) a If yes, go to step S4; if not, go to step S6;
step S4: judging whether the SOC is at the maximum value SOCmaxA state; if so, then e1＝e4＝1，e2＝e3When the power of the photovoltaic power generation system is equal to 0, a part of power of the photovoltaic power generation system supplies power to a power consumer load, the rest part of power of the photovoltaic power generation system supplies power to an alternating current system, and P is enabledgd＝Ppv-Pld，P bt0; if not, go to step S5;
step S5: judgment of PbtWhether or not greater than Ppv-Pld(ii) a If so, then e1＝e2＝1，e3＝e 40, from photovoltaic power generation systemsSupplying power to the consumer load and the energy storage system, increasing the SOC of the stored energy, P gd0; if not, then e1＝e2＝e4＝1，e3When the residual electric quantity is on the net, the SOC of the energy storage system is increased, and P isgd＝Ppv-Pld-Pbt；
Step S6: judging whether the SOC is at the minimum value SOCminA state; if so, then e1＝e3＝1，e2＝e4When the power is equal to 0, the photovoltaic power generation system and the alternating current system supply power to the power consumer load, and P is enabledgd＝Pld-Ppv，P bt0; if not, go to step S7;
step S7: judgment of PbtWhether or not greater than Pld-Ppv(ii) a If so, then e1＝e2＝1，e3＝e 40, the photovoltaic system and the energy storage system supply power to the consumer load together, so that the SOC of the stored energy is reduced, P gd0; if not, then e1＝e3＝1，e2＝e4When the photovoltaic power generation system and the alternating current system supply power to the power consumer load together, the power consumer load is enabled to P0gd＝Pld-Ppv。
More specifically, in one example, in steps S6 and S7, if all the power supply power still cannot meet the load requirement, the local management system is activated to determine whether it is powered on according to the load type to reduce the load requirement; wherein, the load can be divided into two types, fixed load and mobile load; the mobile load can be divided into a reducible load, an interruptible load and an uninterruptable load.
Wherein, whether the power is supplied is determined according to the load type, so that the steps of reducing the load demand are specifically carried out according to the following sequence:
the local management system reduces the power consumption of the interruptible load by 50% by cutting off the interruptible load from the start of limiting the load demand.
For more details, reference may be made to the preceding description of fig. 1, which is not detailed here.
Referring to fig. 3, an embodiment of the present invention further provides a computer device, where the computer device may be a server, and an internal structure of the computer device may be as shown in the figure. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used for storing data used by the energy optimization management method. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an energy optimization management method.
The processor executes the electric energy management control method, wherein the steps of the method are respectively in one-to-one correspondence with the steps of executing the energy optimization management of the foregoing embodiment, and are not described herein again.
It will be appreciated by those skilled in the art that the architecture presented in the figures is merely a block diagram of some of the structures associated with the solution provided by the present invention and is not intended to limit the scope of the computer apparatus to which the solution provided by the present invention may be applied.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for energy optimization management is implemented, where the steps included in the method are respectively in one-to-one correspondence with the steps of executing the energy optimization management method of the foregoing embodiment, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware associated with a computer program or instructions, the computer program can be stored in a non-volatile computer-readable storage medium, and the computer program can include the processes of the embodiments of the methods described above when executed. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
The implementation of the invention has the following beneficial effects:
the invention provides an energy optimization management system, method, computer device and storage medium; by photovoltaic-energy storage grid connection, the alternating current-direct current hybrid grid connection structure provided by the embodiment is utilized, and the control on the interconnection switch between the key equipment and the direct current bus is realized, so that the optimal scheduling of system energy is realized, the calculation is simple, the performability is strong, and the dependence on a power grid is reduced while the power supply requirement of a user is met;
meanwhile, in the embodiment of the invention, compared with other optimization strategies, simplicity and low-cost implementation of algorithm development for solving the energy management problem are considered. The system provided by the invention does not need more memory storage space, does not need to solve a complex mathematical equation to realize optimization, can respond to the user requirement in real time, and considers the influence of the loss caused by the power electronic converter on the system optimization.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (8)
1. An energy optimization management system, comprising an ac system, a photovoltaic power generation system, an energy storage system, a consumer load, and a dc bus, wherein:
the photovoltaic power generation system is connected with a direct current bus through a first DC/DC converter and a first switch S1;
the energy storage system is connected with the direct current bus through a second DC/DC converter and a second switch S2;
the alternating current system is connected with the direct current bus through the first AC/DC converter and the third switch S3, and the photovoltaic power generation system is connected with the alternating current system through the fourth switch S4;
the power consumer load is connected to the DC bus via a second AC/DC converter.
2. The system of claim 1, further comprising:
and the management unit is used for controlling the first switch S1, the second switch S2, the third switch S3 and the fourth switch S4 to realize energy optimal regulation and control management.
3. The system of claim 2, wherein the management unit controls the first switch S1, the second switch S2, the third switch S3, and the fourth switch S4 to satisfy the following condition:
e3+e4≤1
e1+e2+e3≤2
Pbtmin≤Pbt≤Pbtmax
wherein e isiIs a switch SiI is 1 to 4, SiWhen closing, ei＝1；SiWhen disconnected, ei＝0；
PgdFeeding power into the grid, PpvFor photovoltaic output power, PbtFor storing energy, PldIs the load power, ηad1、ηad2、ηdd1、ηdd2Conversion efficiencies of the first AC/DC converter, the second AC/DC converter, the first DC/DC converter and the second DC/DC converter respectively;
Pbtminand PbtmaxThe minimum power and the maximum power of the stored energy.
4. An energy optimization management method applied to the system according to any one of claims 1 to 3, the method comprising the steps of:
step S1: photovoltaic output power P of photovoltaic power generation system at time t is collectedpvLoad power PldAnd an energy storage state of charge, SOC;
step S2: judgment of PpvWhether or not to sum with PldEqual; if the two are equal, then e1＝1，e2～e4When the photovoltaic power generation system supplies power to the electric power user load, P is set to be 0gd＝0，Pbt0; if the two are not equal, go to step S3;
step S3: judgment of PpvWhether or not greater than Pld(ii) a If yes, go to step S4; if not, go to step S6;
step S4: judging whether the SOC is at the maximum value SOCmaxA state; if so, then e1＝e4＝1，e2＝e3When the power of the photovoltaic power generation system is equal to 0, a part of power of the photovoltaic power generation system supplies power to a power consumer load, the rest part of power of the photovoltaic power generation system supplies power to an alternating current system, and P is enabledgd＝Ppv-Pld，Pbt0; if not, go to step S5;
step S5: judgment of PbtWhether or not greater than Ppv-Pld(ii) a If so, then e1＝e2＝1，e3＝e40, the photovoltaic power generation system supplies power to the electric consumer load and the energy storage system, so that the SOC of the energy storage is increased, Pgd0; if not, then e1＝e2＝e4＝1，e3When the power is equal to 0, the photovoltaic power generation system supplies power to the power consumer load and the energy storage system, the residual electric quantity is on the internet, so that the SOC of the energy storage is increased,Pgd＝Ppv-Pld-Pbt；
step S6: judging whether the SOC is at the minimum value SOCminA state; if so, then e1＝e3＝1，e2＝e4When the power is equal to 0, the photovoltaic power generation system and the alternating current system supply power to the power consumer load, and P is enabledgd＝Pld-Ppv，Pbt0; if not, go to step S7;
step S7: judgment of PbtWhether or not greater than Pld-Ppv(ii) a If so, then e1＝e2＝1，e3＝e40, the photovoltaic system and the energy storage system supply power to the consumer load together, so that the SOC of the stored energy is reduced, Pgd0; if not, then e1＝e3＝1，e2＝e4When the photovoltaic power generation system and the alternating current system supply power to the power consumer load together, the power consumer load is enabled to P0gd＝Pld-Ppv。
5. The method of claim 4, wherein in steps S6 and S7, if all the power supply can not meet the requirement of the load, the local management system is started to determine whether it is powered on according to the load type to reduce the load requirement; wherein, the load can be divided into two types, fixed load and mobile load; the mobile load can be divided into a reducible load, an interruptible load and an uninterruptable load.
6. The method of claim 5, wherein the step of activating the local management system to determine whether it is powered on based on the load type, to reduce the load demand is performed in the following order:
the local management system reduces the power consumption of the interruptible load by 50% by cutting off the interruptible load from the start of limiting the load demand.
7. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program implements the steps in the method according to any of claims 4 to 6.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 4 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110238044.8A CN112865670A (en) | 2021-03-04 | 2021-03-04 | Energy optimization management system, method, computer device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110238044.8A CN112865670A (en) | 2021-03-04 | 2021-03-04 | Energy optimization management system, method, computer device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112865670A true CN112865670A (en) | 2021-05-28 |
Family
ID=75991458
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110238044.8A Pending CN112865670A (en) | 2021-03-04 | 2021-03-04 | Energy optimization management system, method, computer device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112865670A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117277413A (en) * | 2023-09-27 | 2023-12-22 | 聚链电力(山东)有限公司 | Energy management system based on energy change of energy storage device in system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120267952A1 (en) * | 2010-11-15 | 2012-10-25 | Bloom Energy Corporation | DC Micro-Grid |
| CN105244909A (en) * | 2015-10-14 | 2016-01-13 | 国网河南省电力公司电力科学研究院 | Direct-current micro-grid system and grid-connection self-balancing control strategy |
| CN105305480A (en) * | 2015-07-13 | 2016-02-03 | 陕西省地方电力（集团）有限公司 | Hybrid energy-storage DC micro grid hierarchical control method |
| CN107947231A (en) * | 2017-12-01 | 2018-04-20 | 国网江苏省电力有限公司电力科学研究院 | A kind of mixed energy storage system control method towards power distribution network optimization operation |
| CN108832612A (en) * | 2018-07-02 | 2018-11-16 | 东北大学 | A kind of DC micro-electric network control method and system based on multi-zone supervision |
| CN110912197A (en) * | 2019-12-12 | 2020-03-24 | 佛山市思正能源技术有限公司 | Modularized household light storage system capable of automatically scheduling energy and control method |
-
2021
- 2021-03-04 CN CN202110238044.8A patent/CN112865670A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120267952A1 (en) * | 2010-11-15 | 2012-10-25 | Bloom Energy Corporation | DC Micro-Grid |
| CN105305480A (en) * | 2015-07-13 | 2016-02-03 | 陕西省地方电力（集团）有限公司 | Hybrid energy-storage DC micro grid hierarchical control method |
| CN105244909A (en) * | 2015-10-14 | 2016-01-13 | 国网河南省电力公司电力科学研究院 | Direct-current micro-grid system and grid-connection self-balancing control strategy |
| CN107947231A (en) * | 2017-12-01 | 2018-04-20 | 国网江苏省电力有限公司电力科学研究院 | A kind of mixed energy storage system control method towards power distribution network optimization operation |
| CN108832612A (en) * | 2018-07-02 | 2018-11-16 | 东北大学 | A kind of DC micro-electric network control method and system based on multi-zone supervision |
| CN110912197A (en) * | 2019-12-12 | 2020-03-24 | 佛山市思正能源技术有限公司 | Modularized household light storage system capable of automatically scheduling energy and control method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117277413A (en) * | 2023-09-27 | 2023-12-22 | 聚链电力(山东)有限公司 | Energy management system based on energy change of energy storage device in system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9641021B2 (en) | Photovoltaic power generation system including apparatus and method to buffer power fluctuations | |
| Mohsenian-Rad et al. | Towards building an optimal demand response framework for DC distribution networks | |
| WO2022165914A1 (en) | Cooperative control method for distributed voltage source converter, and alternating-current/direct-current hybrid microgrid | |
| CN104167754A (en) | Multi-feed-in DC recovery process VDCOL control parameter optimization method | |
| JP2015192566A (en) | Power system and dc power transmission method | |
| Hossain et al. | Modeling and performance analysis of renewable hydrogen energy hub connected to an ac/dc hybrid microgrid | |
| CN113794193B (en) | Decision-making method for hydrogen production by renewable energy direct-current micro-grid | |
| CN112865670A (en) | Energy optimization management system, method, computer device and storage medium | |
| CN117155103B (en) | Inverter power control method and related equipment thereof | |
| CN114362127A (en) | Direct-current micro-grid system containing solid oxide fuel cell and control method thereof | |
| CN108390408A (en) | A kind of intelligent power distribution energy conservation and power supply system and management method | |
| Tarassodi et al. | A power management strategy for a grid‐connected multi‐energy storage resources with a multiport converter | |
| CN114421503B (en) | Hybrid energy storage system and control method and control device thereof | |
| CN110350576A (en) | A kind of mixed power generation declines black-start method, device and the equipment of power grid | |
| San Martín et al. | Control and management of a fuel cell microgrid. Energy efficiency optimization | |
| Simoes | Intelligent based hierarchical control power electronics for distributed generation systems | |
| CN113691005A (en) | 5G micro base station power supply method and 5G micro base station and photovoltaic inverter integrated cabinet | |
| KR102053812B1 (en) | Method and system for controlling power conversion system connected to hybrid battery | |
| CN113794247B (en) | Automatic demand-responsive regulated power storage control | |
| Nouri et al. | Multi-objective optimization of two-stage AC–DC power supply for reliability and efficiency using NSGA-II and meta-heuristic honey bee algorithms | |
| WO2023279566A1 (en) | Independent microgrid optimization method | |
| CN112531801B (en) | Charging method and device | |
| CN114243774A (en) | Converter control method and device and power supply system | |
| CN113794246A (en) | Energy storage control system of distributed energy system | |
| CN116742687A (en) | Hydrogen production system control method and device, storage medium and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210528 |