CN115912447A - Energy storage power station power distribution method and system - Google Patents
Energy storage power station power distribution method and system Download PDFInfo
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Abstract
The invention discloses a power distribution method and a power distribution system for an energy storage power station, which belong to the technical field of battery energy storage power stations, and comprise the following steps: obtainingtA scheduling power command at time BESS; to obtaintThe state of abuse of the battery cell, SOC and SOH at the moment, and calculatingtThe SOS of each battery unit at the moment; calculating a charge and discharge judgment value of the battery unit according to the SOC and the SOH; generating a battery unit charging and discharging criterion table according to the SOC, the SOS and the battery unit charging and discharging judgment value; calculating according to the charging and discharging criteria of the battery unittThe number of PCS actions at the moment; solving PCS power needing to act according to the number of PCS acts, and issuing a scheduling power instruction; according to scheduling power instruction calculationtSOC at +1 time, repeatedly calculated until a set periodTAnd when the operation is finished at all the moments, summarizing and scheduling the power instruction to obtain an energy management strategy. Such an extensionThe performance attenuation of the battery is slowed, and the service life of the energy storage system is prolonged.
Description
Technical Field
The invention belongs to the technical field of battery energy storage power stations, and mainly relates to a power distribution method and system for an energy storage power station.
Background
With the rapid development of new Energy, a Battery Energy Storage System (BESS) is applied more and more widely in an electric power System. If a lithium ion battery is used, the greater the number of cells, the greater the energy density, which may increase the safety risk. Therefore, battery safety should be considered in the energy management of the BESS. There have been few studies on energy management based on the safe state of a battery.
How to digitally quantify the safety of energy storage cells is an imprecise task that often needs to be explained. One method of classifying the safety of energy storage batteries is by hazard level, as shown in table 1. The higher level assumes that the previous level has occurred. For example, when a fire occurs, it is assumed that liquid leakage or gas discharge also occurs, and the fire is more serious than them, but not as serious as the next grade explosion. The rating should not exceed 4 when the test is performed, i.e. the equipment being tested should not suffer from severe rupture, fire or explosion, as these all represent a significant risk to the personnel operating the battery. While risk levels of level 4, while potentially rendering the device unusable, do not expose the user to greater risk.
TABLE 1 danger rating of Battery
The definition and the calculation method of the safe state of the energy storage system are based on the concept that the safety is inversely proportional to the abuse concept.
Is a state parameter of a lithium ion battery, which represents the state of health and remaining energy of the battery, and the safe state of the battery should be inversely proportional to the abuse level of the battery, as follows:
in the formula ,
is in a state of abuse,
i.e., SOS, x represents a description of the battery at a given timetAll types of status and control variables of internal behavior, such as voltage, temperature, current, internal resistance, mechanical deformation of the battery, etc. In this equation, as abuse increases, the safe state will decrease accordingly. The safe state is a value from 0 to 1. The absolute value of the abuse becomes infinite and the security value should tend to be 0 or completely insecure, and when abuse is absent or zero, security should be limited to 1 or completely secure.
Chinese patent application CN113131503A discloses an energy storage power station energy management method based on multi-battery pack SOC consistency, the method optimizes and distributes the power of the multi-battery packs of the energy storage power station, and in each scheduling period, the difference between the battery charging and discharging power distribution and the SOC is adjusted in real time through algorithm control; specifically, the overall output power is calculated based on the energy storage power station scheduling instruction, then the SOC variance, the fluctuation rate and the battery life of each energy storage battery pack are taken as optimization targets, the charging and discharging state switching times and the power distribution size of each battery pack are taken as optimization variables, a genetic algorithm is used, an optimal solution for controlling the energy storage system is obtained, and the SOC adjustment of the energy storage power station battery pack is completed.
According to the method, the SOC variance, the fluctuation rate and the battery life of each energy storage battery pack are only considered as optimization targets, and the charge and discharge power distribution of the energy storage system is realized, so that the SOC of the multiple battery packs in a scheduling period tends to be consistent. The defects are that the number of PCS actions is not considered, and the system operation efficiency is low easily. And the safety state of the system is not considered, so that the probability of safety accidents of the system cannot be reduced.
Chinese patent application CN114094611A provides an energy storage power station dispatching power instruction allocation method and system considering SOC consistency. The method comprises the following steps: if the primary frequency modulation instruction and the AGC power regulation control instruction exceed the total station available power, correcting the values of the primary frequency modulation instruction and the AGC power regulation control instruction into the total station available power; otherwise, obtaining a difference value between the current SOC value of the battery stack corresponding to each PCS of the energy storage station and a preset target SOC value, and determining a charging/discharging scheduling power instruction distributed by each PCS based on the primary frequency modulation instruction, the AGC power regulation control instruction and the difference value. The method aims to realize further refined control on the SOC of the battery, realize that the batteries with different initial SOCs realize convergent adjustment of the SOC by participating in daily charging and discharging, namely further improve the consistency of the SOCs of the batteries, and simultaneously carry out SOC adjustment for meeting the peak load and valley load requirements of a full-capability response power grid.
The PCS power distribution method does not consider the number of PCS actions, and the system operation efficiency is low easily. And the safety state of the system is not considered, so that the probability of safety accidents of the system cannot be reduced.
Disclosure of Invention
Aiming at the prior art, the invention provides a power distribution method and a power distribution system for an energy storage power station, wherein the method is the power distribution method for the energy storage power station obtained by considering the safety state of a battery unit, the method can ensure that the energy storage unit with lower SOS has smaller burden, and the unit with SOS lower than a threshold value is overhauled, thereby achieving the effects of delaying the performance attenuation of the battery and prolonging the service life of the energy storage system.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
an energy storage power station power distribution method comprises the following steps:
s1, obtainingtA scheduling power command at time BESS;
s2, obtainingtThe abuse state, SOC and SOH of the battery cell at the moment, and calculatingtThe SOS of each battery unit at the moment;
s3, calculating a charging and discharging judgment value of the battery unit according to the SOC and the SOH
；
S4, judging values according to the SOC, the SOS and the charging and discharging of the battery unit
Generating a battery unit charging and discharging criterion table;
s5, calculating according to the charging and discharging criterion table of the battery unittThe number of PCS actions at the moment;
s6, solving PCS power needing to act according to the number of PCS acts, and issuing a scheduling power instruction;
s7, calculating according to the scheduling power instructiontThe SOC at the +1 moment repeats S1-S6 until the set time intervalTAnd when the operation is finished at all the moments, summarizing and scheduling the power instruction to obtain an energy management strategy.
As a further improvement of the invention, in the S1, obtainingtScheduling power commands for time BESS
When is coming into contact with
BESS is the discharge mode; when the temperature is higher than the set temperature
BESS is the charging mode.
As a further improvement of the present invention, in S3, calculating a battery cell charge/discharge determination value according to the SOC and the SOH includes:
measuring initial SOC of battery unit, and setting charge and discharge reference valueSOC ref CalculatingtAt a time of dayiCharge and discharge judgment value of each battery cell
；
Each cell SOC reference value is
Then, then
；
wherein ,SOH i is as followsiOf a battery cellSOH，
Is thattAt the first momentiThe state of charge of each cell.
As a further improvement of the invention, in the step S4, the judgment value of the charge and discharge of the battery unit is determined according to the SOC, the SOS and the charge and discharge judgment value of the battery unit
Generating a battery unit charging and discharging criterion table, comprising:
according to SOC and battery unit charging and discharging judgment value
And generating a preliminary battery unit charging and discharging criterion table, and deleting the data of the battery unit with the SOS smaller than the safety standard value to obtain a final battery unit charging and discharging criterion table.
As a further improvement of the invention, in the step S5, calculation is carried out according to a charging and discharging criterion table of the battery unittThe number of PCS actions at the moment comprises:
when the stored energy dispatches the command power
When it is necessary to discharge electricity, according to
The values of (A) are sorted from large to small from top to bottom; calculating from the first row and then calculating the maximum discharge amount according to the upper power limit of each battery unit
Until the maximum discharge is greater than or equal to the absolute value of the total scheduled power command
Let us order
Obtaining the number of the charging units as
；
When the temperature is higher than the set temperature
Need to be charged when necessary, to
The columns are sorted from small to large from top to bottom; the maximum charge is calculated from the first row and then calculated according to the upper power limit of each battery unit
I.e. until the maximum charge is greater than or equal to the absolute value of the total scheduled power command
Let us order
And obtaining the number of the discharge units as follows:
；
further obtaintNumber of PCS actions at moment.
As a further improvement of the present invention, in S6: solving PCS power needing to act according to the number of the PCS actions, wherein an optimization solver is adopted for solving; the SOC consistent objective function in the optimization solver is as follows:
wherein ,
the number of PCS actions at the time t;
is at time tiThe state of charge of the individual battery cells,
is a battery celliThe SOC reference value of (2);
the constraint conditions include:
(1) Cell SOC constraint of
wherein ,
、
are respectively the firstiMaximum and minimum allowable SOCs of the corresponding battery units of the PCS;
(2) Charge and discharge power constraint
wherein ,
is the firstiA PCS corresponding to the battery unittThe power of the discharge at the moment of time,
is the firstiA PCS istThe charging power at a moment;
、
are respectively the firstiThe maximum and minimum charging power of the PCS is provided,
、
are respectively the firstiMaximum and minimum discharge power of each PCS;
(3) Constraint of SOC variation as
wherein ,
is a time period of time during which,S i is the firstiOne PCS corresponds to the rated capacity of the battery cell,
is the firstiThe actual capacity of the battery unit corresponding to the PCS is larger than 0, namely a discharging mode, and the actual capacity is smaller than 0, namely a charging mode;
(4) The conservation of charge and discharge power is constrained as
And solving through the objective function and the constraint condition to obtain the power of each PCS.
An energy storage power plant power distribution system comprising:
communication module for acquiringtA scheduling power command at time BESS;
data acquisition module for obtainingtThe state of abuse of the battery cell, SOC and SOH at the moment, and calculatingtThe SOS of each battery unit at the moment;
a safety state calculation module for calculating charge/discharge judgment value of the battery unit according to SOC and SOH
；
PCS action judging module for judging value according to SOC, SOS and battery unit charging and discharging
Generating a battery unit charging and discharging criterion table;
an optimization solver for calculating according to the charge and discharge criterion table of the battery unittThe number of PCS actions at the moment;
the power distribution execution module is used for solving PCS power needing to act according to the number of PCS actions and issuing a scheduling power instruction;
a state of charge calculation module for calculating according to the scheduling power instructiontSOC at +1 time until a set periodTAnd when the operation is finished at all the moments, summarizing and scheduling the power instruction to obtain an energy management strategy.
As a further improvement of the invention, in the BESS, every n PCS and transformers constitute one transformer unit, and a total of m transformer units are connected to the grid, the BESS has a PCS, and a = n × m.
An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the energy storage power station power distribution method when executing the computer program.
A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the energy storage plant power distribution method.
Compared with the prior art, the invention has the following beneficial effects:
the SOC, the SOH and the SOS of the battery unit are used as input, firstly, the charge and discharge sequence of the PCS is determined according to the SOC, the SOH and the SOS at each time interval, then, a battery unit charge and discharge criterion table is made, the charge and discharge number of the PCS is determined according to the table and calculation, and the PCS is selected to act. And finally, inputting the information of the PCS into an optimization solver to obtain the power of each action PCS.
Drawings
FIG. 1 is a power distribution system for an energy storage power station of the present invention that considers the safe state of the cells;
FIG. 2 is a diagram of the BESS topology of the present invention;
FIG. 3 is a flow chart of a method for power distribution of an energy storage power station in accordance with the present invention, taking into account the safety status of the battery cells;
FIG. 4 is a graph of power distribution under certain cloudy conditions as provided by an embodiment of the present application;
FIG. 5 shows the SOC (different SOH) of each battery cell provided in the embodiment of the present application;
FIG. 6 shows the SOC of a fail-safe cell and a normal cell for the same SOH, as provided by an embodiment of the present application;
FIG. 7 illustrates the SOS to PCS charge/discharge power limits provided by embodiments of the present application;
fig. 8 is a schematic diagram of an electronic device according to the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present invention, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As the scale of battery energy storage increases, safety issues have become a new risk challenge for energy storage development. Safety risk management should be paid attention to in time, and the research of battery energy storage safety problem is carried out.
In large-scale energy storage power stations, are affected by the manufacturing process. As the charge and discharge cycles increase, it is difficult to ensure uniformity of the battery cells. The inconsistency and "short plate effect" of the battery cells limit the scale of the BESS, resulting in the inability to scale up the application of battery energy storage through simple electrical connections. Battery management system (battery management) for large scale BESS, considering both safety and battery consistencytsystem, BMS) becomes critical.
In order to simultaneously consider a state of charge (SOC), a state of health (SOH) and a safety state (SOS), the invention provides an energy storage power station power distribution method and system considering the safety state of a battery unit, and the method can make the consistency of BESS better and avoid safety risks to a certain extent.
The invention aims to provide a power distribution method for an energy storage power station, which comprises the following steps:
s1, obtainingtA scheduling power command at time BESS;
s2, obtainingtThe abuse state, SOC and SOH of the battery cell at the moment, and calculatingtThe SOS of each battery unit at the moment;
s3, calculating a charging and discharging judgment value of the battery unit according to the SOC and the SOH
；
S4, judging values according to the SOC, the SOS and the charging and discharging of the battery unit
Generating a battery unit charging and discharging criterion table;
s5, calculating according to the charging and discharging criterion table of the battery unittThe number of PCS actions at the moment;
s6, solving PCS power needing to act according to the number of PCS acts, and issuing a scheduling power instruction;
s7, calculating according to the scheduling power instructiontThe SOC at the +1 moment repeats S1-S6 until the set time intervalTAnd when the operation is finished at all the moments, summarizing and scheduling the power instruction to obtain an energy management strategy.
The present invention targets SOC consistency while determining the PCS power range from the SOS. The method ensures the safe operation of the system to a certain extent, has good SOC balance effect, and the BESS can better adjust the degree. By using the energy storage power station power distribution method and system considering the safety state of the battery unit, the SOC of the same SOH battery energy storage unit can be maintained at the same level. The control method and the system can ensure that the energy storage unit with lower SOS has smaller burden, and the unit with SOS lower than the threshold value is overhauled, thereby achieving the effects of delaying the performance attenuation of the battery and prolonging the service life of the energy storage system.
The present invention will be described in detail below with reference to specific examples.
Example 1
The embodiment of the invention provides an energy storage power station power distribution system considering the safety state of a battery unit, as shown in fig. 1, the system comprises: the device comprises a communication module, a data acquisition module, a safety state calculation module, a PCS action judgment module, an optimization solver, a power distribution execution module and a charge state calculation module.
The BESS topological structure adopted by the invention is shown in figure 2: every n PCS and transformers constitute one transformer unit, and a total of m transformer units are connected to the grid. BESS shares a-station PCS (a = n × m).
The invention provides an energy storage power station power distribution method considering the safety state of a battery unit, which comprises the following steps:
step 1: in thattAnd acquiring a scheduling power instruction of the BESS through a communication module at any moment.
Step 2: the data acquisition module measures the abuse state, SOC and SOH of the battery units, and calculates the SOS of each battery unit at the moment in the safety state calculation module.
And step 3: and calculating a charge and discharge judgment value of the battery unit according to the SOC and the SOH of the battery unit.
And 4, step 4: manufacturing a battery unit charging and discharging criterion table according to the SOC and the battery unit charging and discharging judgment value, deleting the battery units with the SOS smaller than the safety standard value, and sequencing the charging and discharging sequence of the battery units according to the battery unit charging and discharging judgment value;
and 5: calculating the number of PCS actions in each period (step 3-5 is completed in a PCS action judgment module);
step 6: solving PCS power needing to act in an optimization solver, and issuing a scheduling power instruction to a power distribution execution module;
and 7: calculating the SOC at the next moment in the SOC calculation module, and repeating the steps 1-6 until the running is quitted, wherein the time isTThe energy management policies in (1-7) can be generated in real time.
Example 2
As shown in fig. 4, one embodiment of the present invention provides a method for allocating power of an energy storage power station in consideration of the safety status of battery cells, which specifically includes:
step 1: in thattTime-of-day BESS scheduling power command
When is coming into contact with
BESS is the discharge mode; when in use
BESS is the charging mode.
Step 2: to obtaintThe abuse state, SOC and SOH of the battery cell at the moment, and calculatingtThe SOS of each battery cell at the momentiIn thattSOS at the moment of time is
。
And step 3: calculating a charge/discharge determination value of the battery cell according to the SOC and SOH of the battery cell
. Firstly, determining the charge-discharge sequence of the BESS battery units, then determining the charge/discharge number of the PCS, and finally selecting which PCS to act.
And 4, step 4: according to the SOC,
Making a cellThe charge-discharge criterion table is deleted firstly that the SOS is less than the safe standard value
According to
The cell units are sorted out in a sequence,
the larger the cell is, the more preferentially the cell is discharged, whereas the cell is preferentially charged.
When each time period is according to
After the charging and discharging sorting, the charging and discharging selection rule is shown in table 2.
TABLE 2 PCS action decision table
First, find and delete unsafe cells in A cells, i.e. delete
Is less than
The row(s) of (c).
And 5: computingtThe number of PCS actions at the moment;
when the stored energy dispatches the command power
When the battery energy storage system needs to be discharged, according to
The values of (a) are sorted from large to small, from top to bottom. At this time, the maximum discharge amount is calculated from the first row and then calculated according to the upper power limit of each battery cell, that is
Until it is greater than or equal to the absolute value of the total scheduled power instruction
Let us order
The number of the charging units at the moment is
。
When in use
When the battery energy storage system needs to be charged, the
The columns are sorted from small to large, starting with the first row and then calculating the maximum charge per upper limit of cell power, i.e. the order from top to bottom
Until it is greater than or equal to the absolute value of the total scheduled power command
Let us order
The number of discharge cells at that time is
. The actual number of PCS operations is that the number of the charge and discharge units is a critical value plus 1, so that a certain margin is reserved and the situation of no solution is prevented.
The optimization solver in step 6 is as follows:
SOC-consistent objective function:
constraint conditions are as follows:
(1) Cell SOC constraints
Are respectively the firstiEach PCS corresponds to a maximum and minimum allowable SOC of the battery cell.
(2) Charge and discharge power constraint
(3) Constraint on SOC variation
wherein 
、
Is the firstiA PCS istThe charging/discharging power is applied at the moment,
is a time period of time during which,S i is the firstiThe rated capacity of each of the battery cells is,
is the firstiAnd the actual capacity of the battery unit and the energy storage scheduling command power are more than 0, namely a discharging mode, and less than 0, namely a charging mode.
(4) Charge and discharge power conservation constraint
The constraint is to indicate energy storage power balance
The power of each PCS can be obtained through an objective function and a constraint condition.
The simulation is carried out on a photovoltaic power generation/BESS hybrid power system, wherein the rated power of a photovoltaic power station is 1000MW, the installed capacity of BESS is 240 MW/960MW/h, the number of PCS is 480, each PCS comprises a battery unit, the maximum power of each PCS is 0.5 MW, and the capacity is 2 MW/h.
Fig. 4 shows power distribution under certain cloudy conditions, and if the stored energy power of fig. 4 is greater than 0, discharging is performed, and if the stored energy power is less than 0, charging is performed. As can be seen in the figure 8: and (3) the photovoltaic output begins to climb at 00 hours, 11: and reaches a maximum value at 30 f. At 18:00 force is 0. The load is 12: peak at 00, followed by a peak at 20:00 reaches the highest peak.
Fig. 5 shows the SOC of each battery unit, and it can be seen that the method can achieve uniformity of SOC of each battery unit, and battery units with different SOHs are differentiated into different SOC levels during the operation of the BESS. For cells with higher SOH, such as SOH =1, their SOC will be lower; for cells with lower SOH, such as SOH =0.8, the SOC will be higher. This shows that the actual electric quantity of each battery unit is kept consistent as much as possible, and the scheduling performance of the system is good.
Fig. 6 shows the SOC of the fail-safe cell and the normal cell of the same SOH, and the SOS of the fail-safe cell is less than 0.5 in 1000-1030 minutes, during which no charge or discharge is performed. Comparing the normal cells with the initial SOH, it can be seen that at 1030-1050 minutes, when the SOS is higher than 0.5, the normal cells can be rapidly discharged in a short time, and good SOC uniformity is achieved between the cells.
As shown in fig. 8, the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the energy storage power station power distribution method when executing the computer program.
The power distribution method of the energy storage power station comprises the following steps:
s1, obtainingtA scheduling power command at time BESS;
s2, obtainingtThe state of abuse of the battery cell, SOC and SOH at the moment, and calculatingtThe SOS of each battery unit at the moment;
s3, calculating a charging and discharging judgment value of the battery unit according to the SOC and the SOH
；
S4, judging values according to the SOC, the SOS and the charging and discharging of the battery unit
Generating a battery unit charging and discharging criterion table;
s5, calculating according to the charging and discharging criterion table of the battery unittThe number of PCS actions at the moment;
s6, solving PCS power needing to act according to the number of the PCS acts, and issuing a scheduling power instruction;
s7, calculating according to the scheduling power instructiontThe SOC at the +1 moment repeats S1-S6 until the set time intervalTAnd when the operation is finished at all the moments, summarizing and scheduling the power instruction to obtain an energy management strategy.
The present invention also provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the steps of the energy storage plant power distribution method.
The power distribution method of the energy storage power station comprises the following steps:
s1, obtainingtA scheduling power command at time BESS;
s2, obtainingtThe state of abuse of the battery cell, SOC and SOH at the moment, and calculatingtThe SOS of each battery unit at any time;
s3, calculating a charging and discharging judgment value of the battery unit according to the SOC and the SOH
；
S4, judging values according to the SOC, the SOS and the charging and discharging of the battery unit
Generating a battery unit charging and discharging criterion table;
s5, calculating according to the charging and discharging criterion table of the battery unittThe number of PCS actions at the moment;
s6, solving PCS power needing to act according to the number of the PCS acts, and issuing a scheduling power instruction;
s7, calculating according to the scheduling power instructiontThe SOC at the +1 moment repeats S1-S6 until the set time intervalTAnd when the operation is finished at all the moments, summarizing and scheduling the power instruction to obtain an energy management strategy.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A power distribution method for an energy storage power station is characterized by comprising the following steps:
s1, obtainingtA scheduling power command at time BESS;
s2, obtainingtThe abuse state, SOC and SOH of the battery cell at the moment, and calculatingtThe SOS of each battery unit at the moment;
s3, calculating a charging and discharging judgment value of the battery unit according to the SOC and the SOH
；
S4, judging values according to the SOC, the SOS and the charging and discharging of the battery unit
Generating a battery unit charging and discharging criterion table;
s5, calculating according to the charging and discharging criterion table of the battery unittThe number of PCS actions at the moment;
s6, solving PCS power needing to act according to the number of the PCS acts, and issuing a scheduling power instruction;
s7, calculating according to the scheduling power instructiontThe SOC at the +1 moment repeats S1-S6 until the set time intervalTAnd when the operation is finished at all the moments, summarizing and scheduling the power instruction to obtain an energy management strategy.
2. The energy storage power plant power distribution method of claim 1,
in S1, obtainingtScheduling power commands for time BESS
When is coming into contact with
BESS is the discharge mode; when in use
BESS is the charging mode.
3. The energy storage power plant power distribution method of claim 1,
in S3, calculating a charge/discharge determination value of the battery cell according to the SOC and the SOH includes:
measuring initial SOC of battery unit, and setting charge and discharge reference valueSOC ref CalculatingtAt a time of dayiCharge and discharge judgment value of each battery cell
；
Each cell SOC reference value is
Then, then
；
wherein ,SOH i is as followsiOf a battery cellSOH，
Is thattAt the first momentiThe state of charge of each cell.
4. The energy storage power plant power distribution method of claim 1,
in S4, according to SOC, SOS and charge-discharge judgment value of battery unit
Generating a battery unit charging and discharging criterion table, comprising:
according to SOC and battery unit charging and discharging judgment value
And generating a primary battery unit charging and discharging criterion table, and deleting the data of the battery unit with the SOS smaller than the safe standard value to obtain a final battery unit charging and discharging criterion table.
5. The energy storage plant power distribution method of claim 1,
in S5, calculating according to the charging and discharging criterion table of the battery unittThe number of PCS actions at the moment comprises:
scheduling command power when energy storage
When it is necessary to discharge, according to
The values of (A) are sorted from top to bottom from large to small; calculating from the first row and then calculating the maximum discharge amount according to the upper power limit of each battery unit
Until the maximum discharge is greater than or equal to the absolute value of the total scheduled power command
Let us order
Obtaining the number of the charging units as
；
When in use
Need to be charged when necessary, to
The columns are sorted from small to large from top to bottom; the maximum charge is calculated from the first row and then calculated according to the upper power limit of each battery unit
I.e. until the maximum charge is greater than or equal to the absolute value of the total scheduled power command
Let us order
To obtain a discharge cellThe number is as follows:
；
further obtaintNumber of PCS actions at moment.
6. The energy storage plant power distribution method of claim 1,
in the step S6: solving PCS power needing to act according to the number of the PCS actions, wherein an optimization solver is adopted for solving; the SOC consistent objective function in the optimization solver is as follows:
wherein ,
the number of PCS actions at the time t;
is at time tiThe state of charge of the individual battery cells,
is a battery celliThe SOC reference value of (2);
the constraint conditions include:
(1) Cell SOC constraint of
wherein ,
、
are respectively asFirst, theiEach PCS corresponds to a maximum and minimum allowable SOC of the battery cell;
(2) Charge and discharge power constraint
wherein ,
is the firstiA PCS corresponding to the battery unittThe power of the discharge at the moment of time,
is the firstiA PCS istThe charging power at a moment;
、
are respectively the firstiThe maximum and minimum charging power of the PCS is provided,
、
are respectively the firstiMaximum and minimum discharge power of the PCS;
(3) Constraint of SOC variation as
wherein ,
is a time period of time during which,S i is the firstiOne PCS corresponds to the rated capacity of the battery cell,
is the firstiThe actual capacity of the battery unit corresponding to the PCS is larger than 0, namely a discharging mode, and the actual capacity is smaller than 0, namely a charging mode;
(4) The charge-discharge power conservation is constrained as
And solving through an objective function and a constraint condition to obtain the power of each PCS.
7. An energy storage power station power distribution system, comprising:
communication module for acquiringtA scheduling power command at time BESS;
data acquisition module for obtainingtThe state of abuse of the battery cell, SOC and SOH at the moment, and calculatingtThe SOS of each battery unit at the moment;
a safe state calculating module for calculating the charge and discharge judgment value of the battery unit according to the SOC and the SOH
；
PCS action judging module for judging value according to SOC, SOS and battery unit charging and discharging
Generating a battery unit charging and discharging criterion table;
an optimization solver for calculating according to the charge and discharge criterion table of the battery unittThe number of PCS actions at the moment;
the power distribution execution module is used for solving the PCS power needing to be acted according to the number of the PCS actions and issuing a scheduling power instruction;
a state of charge calculation module for calculating according to the scheduling power instructiontSOC at +1 time until a set periodTAnd when the operation is finished at all the moments, summarizing and scheduling the power instruction to obtain an energy management strategy.
8. The energy storage power plant power distribution system of claim 7,
in the BESS, every n PCS and transformers form one transformer unit, and m transformer units are connected to the power grid in total, wherein the BESS has A PCS in common, and A = n × m.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the energy storage plant power distribution method of any of claims 1-6 when executing the computer program.
10. A computer-readable storage medium, storing a computer program which, when executed by a processor, carries out the steps of the energy storage plant power distribution method of any one of claims 1 to 6.
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