CN113036843A - Power distribution method and system for super-large-scale battery energy storage power station - Google Patents
Power distribution method and system for super-large-scale battery energy storage power station Download PDFInfo
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Abstract
The invention provides a power distribution method and a system for a super-large scale battery energy storage power station, which improve the charging and discharging efficiency and reduce the electric energy loss; the safe operation is ensured; the number of start-stop times is reduced, and the service life of the battery is prolonged to a certain extent; the method comprises the steps of sequencing the state of charge of energy storage units in the super-large scale battery energy storage power station; sequentially selecting a corresponding number of response energy storage units from the charge state sequence; according to the charge state balance principle among the energy storage units, pre-distributing the power requirement of the super-large scale battery energy storage power station to the response energy storage units to obtain the pre-distributed power of each response energy storage unit; selecting out an out-of-limit response energy storage unit with pre-distributed power exceeding a charge-discharge power reference in a distributed power execution period, and adjusting distributed power according to the charge-discharge power reference; and completing power distribution of the super-large-scale battery energy storage power station until no power shortage exists or each response energy storage unit reaches the charge-discharge power reference.
Description
Technical Field
The invention belongs to the field of electrical engineering, relates to a power distribution method of a large-scale energy storage system, and particularly relates to a power distribution method and a power distribution system of a super-large-scale battery energy storage power station.
Background
In recent years, with the rapid development of new energy power generation, energy storage technology is mature day by day. The method is applied to the large-scale utilization of new energy scenes such as wind, light and the like in the links of generation, transmission, distribution and use of the power system. The power distribution strategy of the energy storage power station is always a research hotspot in the field of energy management of energy storage systems.
At present, the power distribution strategy between the energy storage units of the battery energy storage power station is mainly based on fixed parameter distribution, the adaptability of the energy storage power station under different operation conditions is poor, the distributed power cannot enable the energy storage units to work in the state with the highest charging and discharging efficiency, the service life of the battery is influenced, the battery and a converter are prone to heating, the temperature inside the battery box rises, and potential safety hazards are brought. And the service life and the charging and discharging times of the existing energy storage battery need to be improved, the power of an energy storage unit needs to be carefully distributed, the service life of the battery is maintained, and the method is especially important for a super-large-scale battery energy storage power station.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a power distribution method and a system for a super-large-scale battery energy storage power station, which can improve the charging and discharging efficiency and reduce the electric energy loss; the use efficiency of the battery energy storage system is improved, and the safe and stable operation of the super-large-scale battery energy storage power station is ensured; the number of times of starting and stopping is reduced, and the service life of the battery is prolonged to a certain extent.
The invention is realized by the following technical scheme:
the invention relates to a power distribution method of a super-large scale battery energy storage power station, which comprises the following steps,
sequencing the charge states of energy storage units in the super-large scale battery energy storage power station;
determining the number of energy storage units which meet the power requirement of the super-large scale battery energy storage power station and are charged and discharged according to the charging and discharging power reference of the energy storage units, and sequentially selecting corresponding number of response energy storage units from the charge state sequence; the charge-discharge power reference of the energy storage unit is the power with the optimal charge-discharge efficiency of the energy storage unit;
according to the charge state balance principle among the energy storage units, pre-distributing the power requirement of the super-large scale battery energy storage power station to the response energy storage units to obtain the pre-distributed power of each response energy storage unit;
selecting out an out-of-limit response energy storage unit with pre-distributed power exceeding a charge-discharge power reference in a distributed power execution period, and adjusting distributed power according to the charge-discharge power reference;
and calculating the power shortage according to the adjusted distribution power, redistributing the power shortage to the response energy storage units with the state of charge not exceeding the limit, and continuously adjusting the distribution power until the power shortage does not exist or each response energy storage unit reaches the charge-discharge power reference, thus finishing the power distribution of the super-large-scale battery energy storage power station.
Preferably, the charge states of the energy storage units are sequenced according to the charge states, the starting and stopping states and the charge and discharge authorities of the energy storage units in the ultra-large scale battery energy storage power station;
further, the energy storage units are subjected to charge state sequencing; specifically, the method comprises the following steps of,
when the power requirement of the super-large scale battery energy storage power stationThe ordering of the energy storage units is as follows,
when the power requirement of the super-large scale battery energy storage power stationThe ordering of the energy storage units is as follows,
wherein n is the number of energy storage units of the super-large scale battery energy storage power station; t is the time corresponding to the power requirement of the super-large scale battery energy storage power station;representing the charge state of the ith energy storage unit at the moment t;showing the start-stop state of the ith energy storage unit at the moment t;the discharge permission limit of the ith energy storage unit at the moment t is represented;indicates the ith bin at time tThe charge authority of the energy unit.
Preferably, the number of the energy storage units which are charged and discharged and meet the power requirement of the ultra-large battery energy storage power station is determined according to the charging and discharging power reference of the energy storage units; the concrete expression is as follows,
wherein,the power requirement of the super-large scale battery energy storage power station is met; p is a radical ofBThe charging and discharging power reference of the energy storage unit is obtained; k is the number of energy storage units for charging and discharging, and the minimum value meeting the conditions is taken; and n is the number of energy storage units of the super-large scale battery energy storage power station.
Preferably, the pre-allocated power of each of the respective responsive energy storage units is, in particular as follows,
during charging, the charging pre-distribution power is as follows;
when discharging, the discharge pre-allocated power is as follows;
wherein,the power requirement of the super-large scale battery energy storage power station is met; k is the number of energy storage units for charging and discharging; t is the time corresponding to the power requirement of the super-large scale battery energy storage power station;representing the charge state of the ith energy storage unit at the moment t;the discharge permission limit of the ith energy storage unit at the moment t is represented;and the charging authority limit of the ith energy storage unit at the moment t is shown.
Preferably, the distribution power is adjusted according to the charge and discharge power reference, and the specific conditions of the charge and discharge pre-distribution power adjustment are as follows,
wherein,adjusting the distributed power by charging;adjusting the distributed power by discharging; p is a radical ofBThe charging and discharging power reference of the energy storage unit is obtained; SOCmax、SOCminRespectively the upper and lower limit values of the state of charge of the energy storage unit;and the charge state of the ith energy storage unit at the time of the power execution cycle at the time t is shown.
Preferably, the power shortage is calculated according to the adjusted distribution power, and the specific charging and discharging shortages are respectively as follows,
wherein,adjusting the distributed power by charging;adjusting the distributed power by discharging; p is a radical ofBThe charging and discharging power reference of the energy storage unit is obtained; and k is the number of energy storage units for charging and discharging.
The invention relates to a power distribution system of a super-large scale battery energy storage power station, which comprises,
the sequencing module is used for sequencing the charge states of the energy storage units in the super-large scale battery energy storage power station;
the selection module is used for determining the number of energy storage units which meet the power requirement of the super-large-scale battery energy storage power station and are charged and discharged according to the charging and discharging power reference of the energy storage units, and sequentially selecting corresponding response energy storage units from the sequence of the energy storage units; the charge-discharge power reference of the energy storage unit is the power with the optimal charge-discharge efficiency of the energy storage unit;
the pre-distribution module is used for pre-distributing the power requirement of the super-large-scale battery energy storage power station to the response energy storage units according to the charge state balance principle among the energy storage units to obtain the pre-distribution power of each response energy storage unit;
the adjusting and distributing module is used for selecting out the out-of-limit response energy storage unit with the pre-distributed power exceeding the charging and discharging power reference in the distributed power execution period and adjusting the distributed power according to the charging and discharging power reference;
and the distribution updating module is used for calculating the power shortage according to the adjusted distribution power, redistributing the power shortage to the response energy storage units of which the charge states are not out of limit, continuously adjusting the distribution power until no power shortage exists or each response energy storage unit reaches the charge-discharge power reference, and finishing the power distribution of the super-large-scale battery energy storage power station.
A computer apparatus comprising, a memory for storing a computer program; a processor for implementing the method of power distribution in a very large scale battery energy storage plant as claimed in any one of the above when said computer program is executed.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of power distribution for a very large scale battery energy storage power plant as claimed in any one of the preceding claims.
Compared with the prior art, the invention has the following beneficial technical effects:
the invention distributes power by taking the optimal charging and discharging power as the reference on the basis of the power with the highest charging and discharging efficiency of the energy storage battery of the super-large-scale battery energy storage power station, thereby improving the charging and discharging efficiency and reducing the electric energy loss. The number of the response energy storage units participating in charge-discharge response every time is determined according to the optimal charge-discharge power of the battery, so that the use number of the energy storage units is reduced, the average charge-discharge times of the energy storage units of the whole power station are reduced, and the service life of the battery is prolonged to a certain extent.
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FIG. 1 is a block flow diagram of a method as described in an example of the invention.
Fig. 2 is a flow chart of distribution control corresponding to the method in the embodiment of the present invention.
Fig. 3 is a block diagram of the system in an example of the invention.
Detailed Description
The present invention will now be described in further detail with reference to specific examples, which are intended to be illustrative, but not limiting, of the invention.
The invention discloses a power distribution method of a super-large scale battery energy storage power station, which is a power distribution method of an energy storage power station considering optimal charge and discharge power, as shown in figure 1, and comprises the following steps,
sequencing the charge states of energy storage units in the super-large scale battery energy storage power station;
determining the number of energy storage units which meet the power requirement of the super-large scale battery energy storage power station and are charged and discharged according to the charging and discharging power reference of the energy storage units, and sequentially selecting corresponding number of response energy storage units from the charge state sequence; the charge-discharge power reference of the energy storage unit is the power with the optimal charge-discharge efficiency of the energy storage unit;
according to the charge state balance principle among the energy storage units, pre-distributing the power requirement of the super-large scale battery energy storage power station to the response energy storage units to obtain the pre-distributed power of each response energy storage unit;
selecting out an out-of-limit response energy storage unit with pre-distributed power exceeding a charge-discharge power reference in a distributed power execution period, and adjusting distributed power according to the charge-discharge power reference;
and calculating the power shortage according to the adjusted distribution power, redistributing the power shortage to the response energy storage units with the state of charge not exceeding the limit, and continuously adjusting the distribution power until the power shortage does not exist or each response energy storage unit reaches the charge-discharge power reference, thus finishing the power distribution of the super-large-scale battery energy storage power station.
Specifically, in the preferred embodiment, the method is described from the viewpoint of overall execution of the method, and as shown in fig. 2, the method includes the following steps:
step 1: initializing parameters, including setting a power reference p with optimal charge-discharge efficiency according to battery delivery parameters or data provided by manufacturersBSetting SOC limit value SOC of energy storage unitmax、SOCminAnd setting the charge and discharge permission limit of each energy storage unit. In the preferred embodiment, the highest charge-discharge efficiency exists, and when the charge-discharge power is 66% of the rated power, the highest charge-discharge efficiency exists. It is considered to set a battery charge and discharge power reference, and to distribute power based on this reference.
Step 2: and determining the number k of response energy storage units meeting the power requirement of the super-large scale battery energy storage power station.
And step 3: and sequencing the charge states of the energy storage units by adopting a certain arrangement mode according to the power requirement by considering the SOC, the starting and stopping states and the charge and discharge permission of the energy storage units.
And 4, step 4: and selecting k response energy storage units.
And 5: and pre-distributing the power requirement at the time t to the response energy storage units according to the SOC balance principle among the energy storage units, and obtaining pre-distributed power by each response energy storage unit.
Step 6: and judging whether the SOC of the response energy storage unit at the time of T + T is out of limit according to the pre-distributed power, and selecting out the out-of-limit energy storage unit. And adjusting the distributed power according to the charge and discharge power reference.
And 7: and calculating the power shortage according to the adjusted distribution power. And re-allocate the power deficit to the responsive energy storage unit whose SOC is not out-of-limit. And updating the SOC charge-discharge power authority limit at the T + T moment.
And 8: the SOC out-of-limit condition at time T + T is again checked. And if the SOC is out of limit, turning to step 7 until no power shortage exists or each energy storage unit reaches the reference power, and stopping. And updating the SOC charge-discharge power permission limit at the T + T moment, completing the power distribution at the T moment, and issuing a power instruction of the energy storage system at the T moment.
In the preferred embodiment, in step 1: and setting a power reference with optimal charge and discharge efficiency. According to experimental data given by an energy storage battery manufacturer, fitting the relationship between the charge-discharge efficiency and the charge-discharge power, finding the power which enables the charge-discharge efficiency to be maximum, and setting the power as the charge-discharge power reference of the energy storage unit, such as the charge power reference pBGenerally expressed in terms of a times of rated power
pB=αpbN (1)
Correspondingly, the discharge power reference value is-pB。
And initializing the starting and stopping states of the energy storage unit. By usingAnd the starting and stopping states of the ith energy storage unit at the moment t are shown, 0 represents stopping, and 1 represents starting.
Setting a state of charge (SOC) upper limit (SOC) of an energy storage unitmaxAnd SOC lower limit SOCminAnd judging the charge and discharge permission limit through the SOC.Represents the charge authority limit of the ith energy storage unit at the moment t, and 0 represents the unitHas reached the maximum limit value SOCmaxCharging is impossible, and 1 indicates charging is possible. Namely, it is
Represents the discharge permission limit of the ith energy storage unit at the time t, and 0 represents that the unit reaches the lowest limit value SOCminDischarge is not possible, and 1 indicates discharge is possible. Namely, it is
In the preferred embodiment, the number of the responding energy storage units is determined in step 2, specifically, the number is
Assuming that a total number of n energy storage units are provided, in order to make the distributed power of each energy storage unit closest to the power reference, the number k of the responding energy storage units for charging and discharging is determined according to the power reference,
wherein k is the minimum value satisfying the above conditions.
In the preferred embodiment, the sorting is performed according to the SOC, the start-stop state and the charge-discharge permission of the energy storage unit in the step 3, and when the sorting is performed, the SOC, the start-stop state and the charge-discharge permission of the energy storage unit are determined
Further, k response energy storage units are selected in step 4.
When in useAnd selecting k response energy storage units from small to large according to the following formula from the first non-zero term. The unselected energy storage units do not act. The selected response energy storage units SOC are ordered as
Further, in step 5, power pre-allocation is performed, specifically
And considering SOC balance for the selected k response energy storage units, and performing power pre-distribution. While charging
When discharging
Further, in step 6, power distribution adjustment is performed according to SOC pre-determination, specifically, power distribution adjustment is performed according to SOC pre-determination
It is checked whether or not there is a case where the SOC exceeds the SOC boundary value within the distributed power execution period. the ith energy storage unit SOC at the time of T + T is
Wherein, T represents the difference between two power allocation time periods, i.e. the power allocation control period, i.e. the allocated power execution period.
And adjusting the response energy storage unit with the out-of-limit SOC according to the charging and discharging power reference value. The charging and discharging conditions are respectively
Further, in step 7, the power deficit is calculated.
Wherein,indicates the charging adjustment power at the t-th time,indicating the discharge regulation power at the time t,
and sending the adjusted power to the energy storage unit of which the SOC is not out of limit.
Thus, the corrected distributed power is obtained. the charging and discharging power of the ith energy storage unit at the time t is respectively
Further, in step 8, the SOC out-of-limit condition is estimated again, if there are energy storage units with SOC out-of-limit at the next moment, the step 7 is performed, and the power distribution is completed and a corresponding instruction is sent until there is no power shortage or each energy storage unit reaches the reference power.
The corresponding invention also provides a power distribution system of a super-large scale battery energy storage power station, as shown in fig. 3, which comprises,
the sequencing module is used for sequencing the charge states of the energy storage units in the super-large scale battery energy storage power station;
the selection module is used for determining the number of energy storage units which meet the power requirement of the super-large-scale battery energy storage power station and are charged and discharged according to the charging and discharging power reference of the energy storage units, and sequentially selecting corresponding response energy storage units from the sequence of the energy storage units; the charge-discharge power reference of the energy storage unit is the power with the optimal charge-discharge efficiency of the energy storage unit;
the pre-distribution module is used for pre-distributing the power requirement of the super-large-scale battery energy storage power station to the response energy storage units according to the charge state balance principle among the energy storage units to obtain the pre-distribution power of each response energy storage unit;
the adjusting and distributing module is used for selecting out the out-of-limit response energy storage unit with the pre-distributed power exceeding the charging and discharging power reference in the distributed power execution period and adjusting the distributed power according to the charging and discharging power reference;
and the distribution updating module is used for calculating the power shortage according to the adjusted distribution power, redistributing the power shortage to the response energy storage units of which the charge states are not out of limit, continuously adjusting the distribution power until no power shortage exists or each response energy storage unit reaches the charge-discharge power reference, and finishing the power distribution of the super-large-scale battery energy storage power station.
Due to the adoption of the technical scheme, the average value of the distributed power of each energy storage unit is close to the reference power. The energy storage unit works in the working state with the maximum charging and discharging efficiency, and the electric energy loss is effectively reduced. A certain number of energy storage units are selected to participate in a power response mode according to the SOC and the start-stop state of the energy storage units, so that the start-stop times are effectively reduced, and the service life of the battery can be prolonged.
The present invention also provides a computer apparatus comprising a memory for storing a computer program; a processor for implementing the steps of the ultra-large scale battery energy storage power station power distribution method as described above when executing the computer program.
The invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the ultra-large scale battery energy storage power station power distribution method as described above.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can make modifications and equivalents to the embodiments of the present invention without departing from the spirit and scope of the present invention, which is set forth in the claims of the present application.
It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.
Claims (10)
1. A power distribution method for a super-large scale battery energy storage power station is characterized by comprising the following steps,
sequencing the charge states of energy storage units in the super-large scale battery energy storage power station;
determining the number of energy storage units which meet the power requirement of the super-large scale battery energy storage power station and are charged and discharged according to the charging and discharging power reference of the energy storage units, and sequentially selecting corresponding number of response energy storage units from the charge state sequence; the charge-discharge power reference of the energy storage unit is the power with the optimal charge-discharge efficiency of the energy storage unit;
according to the charge state balance principle among the energy storage units, pre-distributing the power requirement of the super-large scale battery energy storage power station to the response energy storage units to obtain the pre-distributed power of each response energy storage unit;
selecting out an out-of-limit response energy storage unit with pre-distributed power exceeding a charge-discharge power reference in a distributed power execution period, and adjusting distributed power according to the charge-discharge power reference;
and calculating the power shortage according to the adjusted distribution power, redistributing the power shortage to the response energy storage units with the state of charge not exceeding the limit, and continuously adjusting the distribution power until the power shortage does not exist or each response energy storage unit reaches the charge-discharge power reference, thus finishing the power distribution of the super-large-scale battery energy storage power station.
2. The power distribution method for the ultra-large scale battery energy storage power station of claim 1, characterized in that the energy storage units are sorted according to their state of charge, start-stop state and charge-discharge authority.
3. The power distribution method for very large scale battery energy storage plants as claimed in claim 2, characterized in that said energy storage units are ordered in state of charge; specifically, the method comprises the following steps of,
when the power requirement of the super-large scale battery energy storage power stationThe ordering of the energy storage units is as follows,
when the power requirement of the super-large scale battery energy storage power stationThe ordering of the energy storage units is as follows,
wherein n is the number of energy storage units of the super-large scale battery energy storage power station; t is the time corresponding to the power requirement of the super-large scale battery energy storage power station;representing the charge state of the ith energy storage unit at the moment t;showing the start-stop state of the ith energy storage unit at the moment t;the discharge permission limit of the ith energy storage unit at the moment t is represented;and the charging authority limit of the ith energy storage unit at the moment t is shown.
4. The power distribution method for the super-large-scale battery energy storage power station according to claim 1, characterized in that the number of the energy storage units which are charged and discharged and meet the power requirement of the super-large-scale battery energy storage power station is determined according to the reference of the charging and discharging power of the energy storage units; the concrete expression is as follows,
wherein,the power requirement of the super-large scale battery energy storage power station is met; p is a radical ofBThe charging and discharging power reference of the energy storage unit is obtained; k is the number of energy storage units for charging and discharging, and the minimum value meeting the conditions is taken; and n is the number of energy storage units of the super-large scale battery energy storage power station.
5. The power distribution method for very large scale battery energy storage power plants according to claim 1, characterized in that the pre-distributed power of each response energy storage unit is as follows,
during charging, the charging pre-distribution power is as follows;
when discharging, the discharge pre-allocated power is as follows;
wherein,the power requirement of the super-large scale battery energy storage power station is met; k is the number of energy storage units for charging and discharging; t is the time corresponding to the power requirement of the super-large scale battery energy storage power station;representing the charge state of the ith energy storage unit at the moment t;the discharge permission limit of the ith energy storage unit at the moment t is represented;and the charging authority limit of the ith energy storage unit at the moment t is shown.
6. The power distribution method for very large scale battery energy storage power stations according to claim 1, characterized in that the distribution power is adjusted according to the charging and discharging power references, and the specific charging and discharging pre-distribution power is adjusted as follows,
wherein,adjusting the distributed power by charging;adjusting the distributed power by discharging; p is a radical ofBThe charging and discharging power reference of the energy storage unit is obtained; SOCmax、SOCminRespectively the upper and lower limit values of the state of charge of the energy storage unit;and the charge state of the ith energy storage unit at the time of the power execution cycle at the time t is shown.
7. The power distribution method for very large scale battery energy storage plants according to claim 1, characterized in that the power deficit is calculated from the adjusted distribution power, the specific charging and discharging deficit is as follows,
8. A power distribution system of a super-large scale battery energy storage power station is characterized by comprising,
the sequencing module is used for sequencing the charge states of the energy storage units in the super-large scale battery energy storage power station;
the selection module is used for determining the number of energy storage units which meet the power requirement of the super-large-scale battery energy storage power station and are charged and discharged according to the charging and discharging power reference of the energy storage units, and sequentially selecting corresponding response energy storage units from the sequence of the energy storage units; the charge-discharge power reference of the energy storage unit is the power with the optimal charge-discharge efficiency of the energy storage unit;
the pre-distribution module is used for pre-distributing the power requirement of the super-large-scale battery energy storage power station to the response energy storage units according to the charge state balance principle among the energy storage units to obtain the pre-distribution power of each response energy storage unit;
the adjusting and distributing module is used for selecting out the out-of-limit response energy storage unit with the pre-distributed power exceeding the charging and discharging power reference in the distributed power execution period and adjusting the distributed power according to the charging and discharging power reference;
and the distribution updating module is used for calculating the power shortage according to the adjusted distribution power, redistributing the power shortage to the response energy storage units of which the charge states are not out of limit, continuously adjusting the distribution power until no power shortage exists or each response energy storage unit reaches the charge-discharge power reference, and finishing the power distribution of the super-large-scale battery energy storage power station.
9. A computer device, comprising,
a memory for storing a computer program;
a processor for implementing the method of power distribution from a very large scale battery energy storage plant according to any of claims 1 to 7 when executing said computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method for power distribution of a very large scale battery energy storage power plant according to any one of claims 1 to 7.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113541174A (en) * | 2021-07-08 | 2021-10-22 | 国网湖南省电力有限公司 | Energy storage AGC PCS active power distribution method and system considering SOC sequencing |
CN114844162A (en) * | 2022-05-17 | 2022-08-02 | 珠海科创电力电子有限公司 | SOC (State of Charge) balancing method for multi-cluster batteries of energy storage system |
CN117811171A (en) * | 2024-02-29 | 2024-04-02 | 宁德时代新能源科技股份有限公司 | Charging and discharging power distribution method, device, equipment and storage medium of energy storage equipment |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160197514A1 (en) * | 2013-07-30 | 2016-07-07 | Zhangjiakou Wind And Solar Power Energy Demonstration Station Co. Ltd., State Grid Xin | Energy management method of multi-type battery energy storage power station considering charge and discharge rates |
CN106953379A (en) * | 2017-03-30 | 2017-07-14 | 中国电力科学研究院 | A kind of balance control method and device of energy-storage battery state-of-charge in parallel |
CN107465204A (en) * | 2017-08-31 | 2017-12-12 | 中国电力科学研究院 | More battery power optimizing distribution methods and device in a kind of energy-accumulating power station |
CN109921449A (en) * | 2019-02-14 | 2019-06-21 | 中国电力科学研究院有限公司 | Flow battery energy storage power station power distribution unit and method |
CN111884243A (en) * | 2020-07-28 | 2020-11-03 | 合肥阳光新能源科技有限公司 | Energy storage regulation and control method, energy storage system and computer storage medium |
-
2021
- 2021-03-02 CN CN202110232968.7A patent/CN113036843B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160197514A1 (en) * | 2013-07-30 | 2016-07-07 | Zhangjiakou Wind And Solar Power Energy Demonstration Station Co. Ltd., State Grid Xin | Energy management method of multi-type battery energy storage power station considering charge and discharge rates |
CN106953379A (en) * | 2017-03-30 | 2017-07-14 | 中国电力科学研究院 | A kind of balance control method and device of energy-storage battery state-of-charge in parallel |
CN107465204A (en) * | 2017-08-31 | 2017-12-12 | 中国电力科学研究院 | More battery power optimizing distribution methods and device in a kind of energy-accumulating power station |
CN109921449A (en) * | 2019-02-14 | 2019-06-21 | 中国电力科学研究院有限公司 | Flow battery energy storage power station power distribution unit and method |
CN111884243A (en) * | 2020-07-28 | 2020-11-03 | 合肥阳光新能源科技有限公司 | Energy storage regulation and control method, energy storage system and computer storage medium |
Non-Patent Citations (1)
Title |
---|
张熙等: "基于荷电状态动态调整的储能电站容量规划", 《电力自动化设备》, no. 11, 30 November 2015 (2015-11-30) * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113541174A (en) * | 2021-07-08 | 2021-10-22 | 国网湖南省电力有限公司 | Energy storage AGC PCS active power distribution method and system considering SOC sequencing |
CN113541174B (en) * | 2021-07-08 | 2024-02-23 | 国网湖南省电力有限公司 | Method and system for distributing PCS active power by energy storage AGC considering SOC sequencing |
CN114844162A (en) * | 2022-05-17 | 2022-08-02 | 珠海科创电力电子有限公司 | SOC (State of Charge) balancing method for multi-cluster batteries of energy storage system |
CN114844162B (en) * | 2022-05-17 | 2023-05-09 | 珠海科创储能科技有限公司 | Multi-cluster battery SOC (state of charge) equalization method of energy storage system |
CN117811171A (en) * | 2024-02-29 | 2024-04-02 | 宁德时代新能源科技股份有限公司 | Charging and discharging power distribution method, device, equipment and storage medium of energy storage equipment |
CN117811171B (en) * | 2024-02-29 | 2024-07-23 | 宁德时代新能源科技股份有限公司 | Charging and discharging power distribution method, device, equipment and storage medium of energy storage equipment |
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