CN108270229B - Energy control method and device for intelligent microgrid - Google Patents
Energy control method and device for intelligent microgrid Download PDFInfo
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- CN108270229B CN108270229B CN201611256932.8A CN201611256932A CN108270229B CN 108270229 B CN108270229 B CN 108270229B CN 201611256932 A CN201611256932 A CN 201611256932A CN 108270229 B CN108270229 B CN 108270229B
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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
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/345—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering using capacitors as storage or buffering devices
Abstract
The embodiment of the invention provides an energy control method and device for an intelligent microgrid, wherein the method comprises the following steps: judging whether the input energy in the intelligent microgrid is equal to the output energy; if the input energy is not equal to the output energy, determining a target energy storage device from a plurality of energy storage devices according to a preset selection strategy, and executing charging or discharging operation through the target energy storage device to enable the energy in the intelligent microgrid to be stable, wherein the plurality of energy storage devices are connected into the intelligent microgrid. The energy control method and the device for the intelligent microgrid, provided by the embodiment of the invention, can be used for making up the deficiency of the prior art in the aspect of maintaining the energy stability in the intelligent microgrid, improving the stability of the intelligent microgrid and the service life of the energy storage device in the intelligent microgrid, and have better economical efficiency.
Description
Technical Field
The embodiment of the invention relates to the technical field of energy control, in particular to an energy control method and device for an intelligent microgrid.
Background
The intelligent microgrid is a small power generation and distribution system formed by collecting distributed power supplies, energy storage devices, energy conversion devices, loads, protection devices and the like, and is an autonomous system capable of realizing self control, protection and management. The system can be operated in parallel with an external power grid or in isolation. Microscopically, the intelligent microgrid can be regarded as a small-sized power system, has complete power generation, power transmission and power distribution functions, can realize local power balance and energy optimization, and is essentially different from a distributed power generation system with a load in that the intelligent microgrid has grid-connected and independent operation capabilities. From a macroscopic perspective, the smart microgrid may be considered as a "virtual" power source or load in the power distribution grid.
The output power of the distributed power supply has the characteristics of intermittence and randomness, and the change of the load also has randomness, so that the stability of the energy in the intelligent microgrid is influenced, and therefore, how to maintain the stability of the energy in the intelligent microgrid is an important guarantee for maintaining the stable operation of the intelligent microgrid.
Energy stability in the intelligent microgrid is mainly guaranteed through charging and discharging of energy storage devices such as super capacitors and batteries in the prior art, for example, when energy input in the intelligent microgrid is greater than energy output, excess energy needs to be absorbed through energy storage devices such as super capacitors, and therefore energy stability in the intelligent microgrid is guaranteed. And this causes the energy storage devices such as super capacitor, battery to have to carry out frequent charge and discharge operation, has reduced the life of energy storage device.
Disclosure of Invention
The embodiment of the invention provides an energy control method and device for an intelligent microgrid, which are used for making up the defect that the prior art maintains the energy stability in the intelligent microgrid, and improving the stability of the intelligent microgrid and the service life of an energy storage device in the intelligent microgrid.
The embodiment of the invention provides an energy control method of an intelligent microgrid, which comprises the following steps:
judging whether the input energy in the intelligent microgrid is equal to the output energy;
and if the input energy is not equal to the output energy, selecting a target energy storage device from a plurality of energy storage devices according to a preset selection strategy, and executing charging or discharging operation through the target energy storage device to enable the energy in the intelligent microgrid to be stable, wherein the plurality of energy storage devices are connected into the intelligent microgrid.
A second aspect of an embodiment of the present invention provides an energy control apparatus, including:
the judging module is used for judging whether the input energy in the intelligent microgrid is equal to the output energy or not;
the selection module is used for selecting a target energy storage device from a plurality of energy storage devices according to a preset selection strategy when the input energy is not equal to the output energy, wherein the plurality of energy storage devices are connected to the intelligent microgrid;
and the execution module triggers the target energy storage device to execute charging or discharging operation, so that the energy in the intelligent microgrid is kept stable.
According to the embodiment of the invention, the input energy and the output energy in the intelligent microgrid are judged, and when the input energy in the intelligent microgrid is not equal to the output energy, one energy storage device is selected from a plurality of energy storage devices connected into the intelligent microgrid to absorb or supplement the energy in the intelligent microgrid according to a preset selection strategy, so that the aim of keeping the energy in the intelligent microgrid stable is achieved. In addition, the selection strategy can be set in the embodiment of the invention, so that the use times of the energy storage equipment with less influence on the service life by the charge and discharge times are increased, the use times of the energy storage equipment with more influence on the service life by the charge and discharge times are reduced, and the service life and the economical efficiency of the energy storage equipment are further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of an energy control method for an intelligent microgrid according to an embodiment of the present invention;
fig. 2 is a linear schematic diagram illustrating control of energy stabilization of an intelligent microgrid through a super capacitor according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for determining a target energy storage device according to a priority order according to an embodiment of the present invention;
FIG. 4 is a diagram of a load quantity adjustment strategy according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an energy control device according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of the stator module 121 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprises" and "comprising," and any variations thereof, in the description and claims of this invention, are intended to cover non-exclusive inclusions, e.g., a process or an apparatus that comprises a list of steps is not necessarily limited to those structures or steps expressly listed but may include other steps or structures not expressly listed or inherent to such process or apparatus.
Fig. 1 is a flowchart of an energy control method for an intelligent microgrid according to an embodiment of the present invention, where the method may be performed by an energy control apparatus, which may be embodied as a device with logic processing capability, such as a server, and the energy control apparatus is connected to the intelligent microgrid. As shown in fig. 1, the method comprises the steps of:
In an actual scene, the input energy of the intelligent microgrid is provided by power supplies such as a wind driven generator, a diesel generator and a photovoltaic power supply. The output energy is mainly provided for loads in the intelligent microgrid for use, and the loads can work normally. In an actual scenario, the number of power sources and the number of loads in an intelligent microgrid may be multiple. Therefore, in the present embodiment, whether the energy in the intelligent microgrid is stable is determined by determining the magnitude relationship between the total output energy of all power sources in the intelligent microgrid and the total energy required by all loads. For example, when the total output energy of all the power sources in the intelligent microgrid is greater than the total energy required by all the loads, the energy in the intelligent microgrid is in a state of supply greater than demand, the energy in the intelligent microgrid can be stabilized in a manner that the energy storage device absorbs excess energy, and when the total output energy of all the power sources in the intelligent microgrid is less than the total energy required by all the loads, the energy in the intelligent microgrid is in a state of supply less than demand, and the energy in the intelligent microgrid can be stabilized in a manner that the energy storage device releases energy.
In fig. 1, the method further includes step 102, selecting a target energy storage device from a plurality of energy storage devices according to a preset selection policy, and performing a charging or discharging operation through the target energy storage device, so that energy in the intelligent microgrid is kept stable, wherein the plurality of energy storage devices are connected to the intelligent microgrid.
In practical application, one energy storage device may be randomly determined from a plurality of energy storage devices connected to the intelligent microgrid as a target device, and the target energy storage device may absorb excess energy or supplement the lacking energy.
How to adjust the energy in the intelligent microgrid through the energy storage device is explained as follows:
taking a super capacitor as an example, fig. 2 is a linear schematic diagram for controlling energy stability of an intelligent microgrid through the super capacitor according to an embodiment of the present invention, where the schematic diagram may be considered as set or obtained through a simulation means, and the present embodiment is not limited in detail. In fig. 2, the horizontal axis represents the percentage of electricity SoC of the super capacitor, the vertical axis represents the maximum output power Pn of the power supply, and the curves a, b, c1, d1, e in the upper half of the horizontal axis represent the power supply: the corresponding output power of the wind driven generator, the photovoltaic, the battery, the power grid and the diesel generator in different electric quantity percentages of the super capacitor can be set manually or obtained by a simulation means. The curves c2 and d2 on the lower half of the horizontal axis represent the output power of the battery and the power grid respectively corresponding to the charge percentage of different super capacitors.
Because the energy in the intelligent microgrid is maintained stable by the super capacitor, the super capacitor needs to absorb excess energy to avoid imbalance of energy in the microgrid. At this time, the super capacitor is charged, the percentage of charge of the super capacitor is shown in fig. 2 as moving to the right side of the horizontal axis, when moving to a certain value, the output energy of the power supply is gradually limited, and the energy difference between the power supply and the load is reduced. The electric quantity percentage of the super capacitor is gradually increased along with the continuous charging of the super capacitor, when the electric quantity percentage of the super capacitor is stabilized at a certain position on an abscissa, the output energy of the power supply is equal to the energy required by the load, and the input energy and the output energy of the intelligent microgrid are stabilized. In addition, when the load is increased or decreased and the power output power is changed, the input energy and the output energy of the smart grid are not equal, so that the electric quantity percentage of the super capacitor is changed, and the energy of the smart micro-grid can be balanced again according to the curve relation shown in fig. 1.
In particular, in consideration of the life of the battery and the super capacitor, the operation interval of the battery can be changed by adjusting the charging and discharging curves of the battery in fig. 2, for example, shifting the discharging curve to the left will make the battery output power only when the SoC is low, and when the power output power is sufficient, the SoC will maintain a high level, which avoids unnecessary loss of the battery. Similarly, shifting the battery charging curve to the right allows the battery to be recharged when the power supply output is very sufficient, which avoids high frequency charging of the battery. In addition, considering that rotating parts of power supplies such as a fan and a diesel generator are not suitable for frequent starting and stopping and rapid power adjustment, the maximum output power limit of each power supply in the graph 2 has a small slope, so that each power supply is allowed to slowly adjust the power when the energy changes, impact is not caused, and equipment is protected.
When a new demand is placed on the energy distribution, such as when the maximum power surplus is required, the power source curve turning point can be shifted right to the right (100%, Pn) and the end point falls at (100%, 0). Therefore, when the power of the power supply is large, the load requirement is met, and the SoC continues to rise after the battery is fully charged, namely, the grid-connected power is increased more and more. Considering the limit condition, when the power of the power supply is far larger than the power consumed by the load and the energy storage absorbed power, the SoC will rise rapidly until 100%, at this time, the given power of the power supply is limited to 0, and the SoC will be stable at 100%, that is, the grid-connected power reaches the maximum value. The method can completely integrate the power after removing the load and the energy storage consumption, realizes the function of the maximum surplus power on-line and has better economy.
Alternatively, it is contemplated that energy storage devices commonly used in practice include power grids, supercapacitors and batteries. And the influence of the charging and discharging times on the service life of the power grid is the smallest, the super capacitor is the second, and the influence on the battery is the largest. Optionally, in this embodiment, the priority of the energy storage devices accessed to the intelligent microgrid may be set in the order from high to low in sequence according to the order that the influence of the charging and discharging times on the life is from small to large. For example, the energy storage device connected to the intelligent microgrid comprises a power grid, a super capacitor and a battery, and the priority of the power grid is set to be highest, the priority of the super capacitor is next to the priority of the battery is lowest. And then, according to the priority order of each energy storage device, determining the energy storage device with the highest priority as the target energy storage device.
Optionally, fig. 3 is a flowchart of a method for determining a target energy storage device according to a priority order according to an embodiment of the present invention, as shown in fig. 3, the method includes the following steps:
In practical applications, the first preset threshold includes a threshold corresponding to a case where the input energy is greater than the output energy, and at this time, the discharging operation may be performed only when the energy of the energy storage device exceeds the threshold, and the first preset threshold also includes a threshold corresponding to a case where the input energy is less than the output energy, and at this time, the energy absorbing operation may be performed only when the energy of the energy storage device is less than the threshold. Therefore, when the input energy of the intelligent microgrid is greater than the output energy, the embodiment selects an energy storage device with at least one energy exceeding the corresponding threshold from among the plurality of energy storage devices connected to the intelligent microgrid, and when the input energy of the intelligent microgrid is less than the output energy, selects an energy storage device with at least one energy lower than the corresponding threshold from among the plurality of energy storage devices connected to the intelligent microgrid.
In fig. 3, step 202 of selecting an energy storage device with the highest priority of the at least one energy storage device as a target energy storage device may further be included.
For example, if the power grid, the super capacitor and the battery reach a preset first preset threshold value when the power grid, the super capacitor and the battery are connected to the energy storage device of the smart microgrid, the power grid with the highest priority is used as the target energy storage device.
The energy storage device with the highest priority is selected from the at least one energy storage device as the target energy storage device, so that the charging and discharging times of the single energy storage device can be reduced, the service life of the energy storage device is prolonged, the selected target energy storage device can be ensured to be in an available energy state, and the reliability of energy control is improved.
In fig. 1, step 103 is further included, which keeps the current input/output state of the intelligent microgrid unchanged.
In particular, in order to balance the input energy and the output energy of the intelligent microgrid as soon as possible, in practical applications, the input energy of the intelligent microgrid may be equal to the output energy by adjusting the number of energy inputs or loads in the intelligent microgrid while or after the method is performed.
Specifically, when the input energy in the intelligent microgrid is greater than the output energy, the energy in the intelligent microgrid is balanced by reducing the energy output of the non-renewable energy power generation equipment (such as coal power generation equipment, diesel generators and the like) or increasing the number of loads. When the input energy in the intelligent microgrid is less than the output energy, the energy in the intelligent microgrid can be balanced in a manner of increasing the energy output of renewable energy power generation equipment (such as wind generators, photovoltaic power generation equipment and the like) or reducing the number of loads.
In the method for adjusting the number of loads, in order to ensure that important loads are cut out at last, in practice, the loads can be classified according to the importance degree of the loads, and when the energy of the intelligent microgrid is adjusted, the loads can be cut out in the order of the importance degrees from low to high or the loads can be switched in the order of the importance degrees from high to low, so that the purpose of stabilizing the energy in the intelligent microgrid is achieved. Specifically, as shown in fig. 4, the loads may be divided into Level1, Level2, and Level3 … in the order of the importance Level of the load from high to low, where the Level1 has the highest Level, and is first input and last output. When the electric quantity percentage SoC reaches a certain value, it means that there is a certain energy reserve in the intelligent microgrid, and at this time, a load at Level1 is put into the intelligent microgrid. When the input energy of the intelligent microgrid is insufficient, the load is cut out, the energy is excessive when the load is cut out, the electric quantity percentage SoC in the intelligent microgrid is increased, and the load is put into use again. In order to avoid frequent switching of the load, a certain time is delayed after the load is switched off, and the load cannot be switched again until the time delay is finished. If the energy in the intelligent microgrid is sufficient, the electric quantity percentage SoC in the intelligent microgrid can continuously rise, the input load can be more and more, and when the energy is balanced, the SoC can be stabilized at a certain point. If the input energy in the intelligent microgrid is reduced, the SoC in the intelligent microgrid is reduced, and the load is cut off step by step from low to high according to the importance degree.
In this embodiment, through judging the input energy and the output energy in the intelligent microgrid, and when the input energy in the intelligent microgrid is not equal to the output energy, according to the preset selection strategy, from a plurality of energy storage devices accessed to the intelligent microgrid, the energy in the intelligent microgrid is absorbed or supplemented by one selected energy storage device, thereby achieving the purpose of keeping the energy in the intelligent microgrid stable. In addition, in this embodiment, the number of times of use of the energy storage device with less influence on the service life by the number of times of charge and discharge can be increased by setting the selection strategy, the number of times of use of the energy storage device with greater influence on the service life by the number of times of charge and discharge can be reduced, and the service life and the economical efficiency of the energy storage device can be further improved.
Fig. 5 is a schematic structural diagram of an energy control apparatus according to an embodiment of the present invention, and as shown in fig. 5, the apparatus includes:
the judging module 11 is used for judging whether the input energy in the intelligent microgrid is equal to the output energy;
a selecting module 12, configured to select a target energy storage device from multiple energy storage devices according to a preset selection policy when the input energy is not equal to the output energy, where the multiple energy storage devices are connected to the intelligent microgrid;
and the execution module 13 is configured to trigger the target energy storage device to execute a charging or discharging operation, so that the energy in the intelligent microgrid is kept stable.
Optionally, the selecting module 12 includes:
the selecting submodule 121 selects, according to a preset priority order, an energy storage device with the highest priority among the plurality of energy storage devices as a target energy storage device;
or/and optionally, the plurality of energy storage devices comprise a power grid, a super capacitor and a battery with the priority from high to low in sequence.
Optionally, the apparatus further comprises:
and the adjusting module 14 adjusts the energy input amount or the number of loads in the intelligent microgrid, so that the input energy of the intelligent microgrid is equal to the output energy.
Optionally, the adjusting module 14 is specifically configured to reduce the energy output of the non-renewable energy power generation device or/and increase the energy output of the renewable energy power generation device, so that the input energy of the intelligent microgrid is equal to the output energy.
The renewable energy power generation device includes at least one of the following devices: wind power generators, photovoltaics; the non-renewable energy power generation apparatus includes at least one of: coal power generation equipment and a diesel generator.
The apparatus provided in this embodiment can be used to execute the method in the embodiment shown in fig. 1, and the execution manner and the beneficial effects are similar, which are not described herein again.
Fig. 6 is a schematic structural diagram of a selection sub-module 121 according to an embodiment of the present invention, as shown in fig. 6, on the basis of fig. 5, the selection sub-module 121 includes:
a first selection subunit 1211, configured to select at least one energy storage device from the plurality of energy storage devices, where an energy of the at least one energy storage device reaches a first preset threshold;
the second selecting subunit 1212 selects an energy storage device with the highest priority among the at least one energy storage device as the target energy storage device.
The apparatus provided in this embodiment can be used to execute the method in the embodiment shown in fig. 3, and the execution manner and the beneficial effects are similar, which are not described herein again.
Finally, it should be noted that, as one of ordinary skill in the art will appreciate, all or part of the processes of the methods of the embodiments described above may be implemented by hardware related to instructions of a computer program, where the computer program may be stored in a computer-readable storage medium, and when executed, the computer program may include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a Random Access Memory (RAM), or the like.
Each functional unit in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer readable storage medium. The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. An energy control method for an intelligent microgrid is characterized by comprising the following steps:
judging whether the input energy in the intelligent microgrid is equal to the output energy;
if the input energy is not equal to the output energy, selecting a target energy storage device from a plurality of energy storage devices according to a preset selection strategy, and executing charging or discharging operation through the target energy storage device to enable the energy in the intelligent microgrid to be stable, wherein the plurality of energy storage devices are connected into the intelligent microgrid; the energy storage equipment comprises a power grid, a super capacitor and a battery, wherein the priority of the power grid is sequentially from high to low, and the selection strategy comprises the step of adjusting charge-discharge curves of the battery and the power grid based on the SOC value of the super capacitor; when the intelligent microgrid is required to be connected to the network to the maximum extent, the turning point of the power supply discharge curve is shifted to the right to be close to the rightmost side (100 percent, Pn), and the end point is located at (100 percent, 0);
after selecting a target energy storage device from a plurality of energy storage devices according to a preset selection strategy and performing charging or discharging operation through the target energy storage device, the method further includes:
and adjusting the energy input amount or the load amount in the intelligent microgrid so that the input energy of the intelligent microgrid is equal to the output energy.
2. The method according to claim 1, wherein the selecting a target energy storage device from the plurality of energy storage devices according to a preset selection strategy comprises:
and selecting the energy storage equipment with high priority from the plurality of energy storage equipment as target energy storage equipment according to a preset priority sequence.
3. The method according to claim 2, wherein the selecting, according to a preset priority order, an energy storage device with a higher priority from the plurality of energy storage devices as a target energy storage device comprises:
selecting at least one energy storage device from the plurality of energy storage devices, wherein the at least one energy storage device is an energy storage device with energy reaching a first preset threshold value;
and selecting the energy storage device with the highest priority level in the at least one energy storage device as a target energy storage device.
4. The method of claim 1, wherein adjusting the amount of energy input into the intelligent microgrid such that the input energy into the intelligent microgrid equals the output energy comprises:
and reducing the energy output of the non-renewable energy power generation equipment or/and improving the energy output of the renewable energy power generation equipment, so that the input energy of the intelligent microgrid is equal to the output energy.
5. An energy control device, comprising:
the judging module is used for judging whether the input energy in the intelligent microgrid is equal to the output energy or not;
the selection module is used for selecting a target energy storage device from a plurality of energy storage devices according to a preset selection strategy when the input energy is not equal to the output energy, wherein the plurality of energy storage devices are connected to the intelligent microgrid; the energy storage equipment comprises a power grid, a super capacitor and a battery, wherein the priority of the power grid is sequentially from high to low, and the selection strategy comprises the step of adjusting charge-discharge curves of the battery and the power grid based on the SOC value of the super capacitor; when the intelligent microgrid is required to be connected to the network to the maximum extent, the turning point of the power supply discharge curve is shifted to the right to be close to the rightmost side (100 percent, Pn), and the end point is located at (100 percent, 0);
the execution module triggers the target energy storage device to execute charging or discharging operation, so that the energy in the intelligent microgrid is kept stable;
the device further comprises:
and the adjusting module is used for adjusting the energy input amount or the load amount in the intelligent microgrid so that the input energy of the intelligent microgrid is equal to the output energy.
6. The apparatus of claim 5, wherein the selection module comprises:
and the selecting submodule selects the energy storage equipment with high priority from the plurality of energy storage equipment as the target energy storage equipment according to a preset priority sequence.
7. The apparatus of claim 6, wherein the selection submodule comprises:
the first selection subunit selects at least one energy storage device from the plurality of energy storage devices, wherein the energy of the at least one energy storage device reaches the energy storage device with a first preset threshold value;
and the second selection subunit selects the energy storage device with the highest priority in the at least one energy storage device as the target energy storage device.
8. The apparatus according to claim 5, wherein the adjusting module is specifically configured to decrease the energy output of the non-renewable energy power generation device or/and increase the energy output of the renewable energy power generation device, so that the input energy of the intelligent microgrid is equal to the output energy.
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| CN117039961B (en) * | 2023-10-09 | 2024-01-30 | 广州菲利斯太阳能科技有限公司 | Micro-grid hybrid energy storage system and method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102480164A (en) * | 2010-11-26 | 2012-05-30 | 中兴通讯股份有限公司 | Hybrid energy power supply system and hybrid energy power supply method |
| CN103117552A (en) * | 2013-03-06 | 2013-05-22 | 山东电力研究院 | Hybrid energy storage system based on ordered energy control |
| CN103683272A (en) * | 2013-11-30 | 2014-03-26 | 许继电气股份有限公司 | Independent direct-current micro-grid system and energy balance control method thereof |
Family Cites Families (3)
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| CN202358785U (en) * | 2011-11-15 | 2012-08-01 | 北京升华电梯集团有限公司 | Energy recovering device |
| CN102427249B (en) * | 2011-12-19 | 2013-12-25 | 天津市电力公司 | Method and system for controlling distributed micro-grid parallel operation |
| TWI509935B (en) * | 2013-09-03 | 2015-11-21 | 中原大學 | Decentralized power supply synchronous and network method |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102480164A (en) * | 2010-11-26 | 2012-05-30 | 中兴通讯股份有限公司 | Hybrid energy power supply system and hybrid energy power supply method |
| CN103117552A (en) * | 2013-03-06 | 2013-05-22 | 山东电力研究院 | Hybrid energy storage system based on ordered energy control |
| CN103683272A (en) * | 2013-11-30 | 2014-03-26 | 许继电气股份有限公司 | Independent direct-current micro-grid system and energy balance control method thereof |
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