CN114583734A - Energy management method, system, equipment and storage medium for multi-type energy storage system - Google Patents

Energy management method, system, equipment and storage medium for multi-type energy storage system Download PDF

Info

Publication number
CN114583734A
CN114583734A CN202210255257.6A CN202210255257A CN114583734A CN 114583734 A CN114583734 A CN 114583734A CN 202210255257 A CN202210255257 A CN 202210255257A CN 114583734 A CN114583734 A CN 114583734A
Authority
CN
China
Prior art keywords
power
battery
energy storage
storage system
battery pack
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210255257.6A
Other languages
Chinese (zh)
Inventor
李相俊
邢兵
王上行
贾学翠
颜宁
靳文涛
王传波
刘钰磊
肖盛忠
李凌峰
肖佳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huadian Inner Mongolia Energy Co ltd
China Electric Power Research Institute Co Ltd CEPRI
Original Assignee
Huadian Inner Mongolia Energy Co ltd
China Electric Power Research Institute Co Ltd CEPRI
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huadian Inner Mongolia Energy Co ltd, China Electric Power Research Institute Co Ltd CEPRI filed Critical Huadian Inner Mongolia Energy Co ltd
Priority to CN202210255257.6A priority Critical patent/CN114583734A/en
Publication of CN114583734A publication Critical patent/CN114583734A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0013Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0029Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • H02J7/0048Detection of remaining charge capacity or state of charge [SOC]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • H02J7/005Detection of state of health [SOH]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007Regulation of charging or discharging current or voltage
    • H02J7/00712Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The method, the system, the equipment and the storage medium for managing the energy of the multi-type energy storage system are used for acquiring the error power of the planned photovoltaic power generation power to be tracked and the actual photovoltaic power generation output power in the day before; judging error power levels, wherein the error power levels comprise small power, common power and high power; if the error power level is low power, a group of retired power batteries in the multi-type energy storage system is charged and discharged; and if not, determining the number of the action batteries in the middle-retired power batteries of the multi-type energy storage system, and charging and discharging the battery pack. Compared with an energy sharing strategy, the method can limit the DOD of the battery with poor health degree, and can effectively delay the service life attenuation of the battery pack to a certain extent. The method achieves the purposes of refining, classifying and gradient utilization of the retired power battery, not only can give full play to the residual value of the energy storage battery, but also can reduce the waste of resources to a certain extent.

Description

Energy management method, system, equipment and storage medium for multi-type energy storage system
Technical Field
The invention relates to the fields of smart power grids, energy storage technologies and energy Internet, in particular to an energy management method, system, equipment and storage medium for a multi-type energy storage system.
Background
In the world, resources are continuously consumed in the world, the problem of environmental pollution is more and more severe, the market sales volume of electric vehicles is increased, and the potential safety hazard problem and the resource recovery pressure of batteries are brought to people. Because the power battery of the electric automobile cannot be safely used on the electric automobile when the health degree is 80%, but still has great residual value which can be put on other scenes for continuous operation, if the retired power battery adopts a conventional treatment mode, such as landfill, incineration and the like, harmful metals or other compounds in the waste battery can cause great pollution and harm to land, atmosphere and water sources.
Current studies on battery echelon utilization include: sorting and recycling retired power batteries, evaluating states of the retired power batteries, screening and recombining the retired power batteries, exploring use scenes of the echelon batteries and the like. In order to be better integrated into a power system, different characteristics of different energy storage technologies need to be combined, different energy storage media are combined through a power circuit, and a coordination control system is matched to form multi-type energy storage, so that the operation performance of an energy storage system can be improved.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a method, a system, equipment and a storage medium for managing the energy of a multi-type energy storage system, wherein the method achieves the purposes of refining, classifying and gradient utilization of retired power batteries, not only can the residual value of the energy storage batteries be fully exerted, but also the waste of resources can be reduced to a certain extent.
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
a multi-type energy storage system energy management method comprises the following steps:
acquiring error power of planned photovoltaic power generation power and actual photovoltaic power generation output power to be tracked in the day ahead;
judging the error power level; the error power level comprises small power, common power and large power;
if the error power level is low power, any one group of retired power batteries in the multi-type energy storage system performs charging and discharging processes; and if not, determining the number of the action batteries in the middle-retired power batteries of the multi-type energy storage system, and charging and discharging the action batteries.
Further, determining the error power level comprises: the error power is less than or equal to the rated power of a single PCS (power conversion system), and the error power is called as low power; when the error power is larger than the rated power of a single PCS and smaller than 80% of the total rated power of the multi-type energy storage system, the normal power is called; when the error power is more than or equal to 80% of the rated power of the multi-type energy storage system, the system is called as high power;
the charging model of the retired power battery is shown as a formula (1-1), and the discharging model of the retired power battery is shown as a formula (1-2):
Pch_min<Pch_(t)<Pch_max (1-1)
Pdh_min<Pdh_(t)<Pdh_max (1-2)
in the formula, PchIs the charging power of the retired power battery pack at the t moment, Pch_minMinimum charging power, P, for a retired power batterych_maxThe maximum charging power of the retired power battery pack; pdhIs the discharge power of the battery pack at time t, Pdh_minAnd Pdh_maxRespectively the minimum and maximum limit points of the discharge power of the retired power battery.
Further, the percentage of the remaining capacity of the retired power battery pack at the time t is as follows:
during discharging:
Figure BDA0003548415890000021
during charging:
Figure BDA0003548415890000022
SOCmin<SOCi(t)<SOCmax (2-3)
in the formula, EHFor the charging quantity of the battery pack i in the retired power battery in the t-th time period, EGThe discharge amount of the battery pack i in the retired power battery in the t-th time period is used as S, the rated capacity and the SOC of the battery pack i in the retired power battery are used as Si(t) is the remaining capacity percentage of the battery pack i in the retired power battery pack at the time t, SOCminFor the minimum SOC value allowed by the battery pack i in the retired power battery, SOCmaxThe maximum SOC value allowed by the battery pack i in the retired power battery.
Further, if the error power level is low power, in the process of charging and discharging one group of retired power batteries in the multi-type energy storage system, the electric quantity constraint in the charging process of the retired power batteries is as follows:
E(t)=(1-σ)E(t-1)-Pess(t)ΔtηH (3-1)
the electric quantity constraint in the discharging process of the retired power battery is as follows:
E(t)=(1-σ)E(t-1)-Pess(t)ΔtηG (3-2)
the power constraint in the charging and discharging process of the retired power battery is as follows:
Figure BDA0003548415890000031
Figure BDA0003548415890000032
wherein E (t) is the residual battery capacity of the battery energy storage system at the end of time t; e (t-1) is the residual battery capacity of the battery energy storage system at the end of the t-1 moment; p isess(t) is the charging and discharging power value of the battery energy storage system at the moment t; sigma is the self-discharge rate of the battery energy storage system; etaHCharging efficiency of the battery energy storage system; etaGThe discharge efficiency of the battery energy storage system; at is the duration of the calculation window,
Figure BDA0003548415890000033
for the discharge power of battery i at time t,
Figure BDA0003548415890000034
is the minimum discharge power of the battery pack i,
Figure BDA0003548415890000035
the maximum discharge power of the battery pack i is respectively;
Figure BDA0003548415890000036
the charging power for battery i at time t,
Figure BDA0003548415890000037
for minimum charging function of battery iThe ratio of the total weight of the particles,
Figure BDA0003548415890000038
the maximum charging power for battery i.
Further, if not, determining the number of the action batteries in the middle-retired power batteries of the multi-type energy storage system, and charging and discharging the battery pack, wherein the method comprises the following steps: determining the number of the active batteries in the middle-retired power battery of the multi-type energy storage system according to the following formula:
Figure BDA0003548415890000039
in the formula, NpcshFor the number of battery groups, P, to be operated in a multi-type energy storage systemwh(t) error power, P, to be tracked for multiple types of energy storage systemspcshIs the rated power of the PCS.
Further, if not, determining the number of the action batteries in the middle-retired power batteries of the multi-type energy storage system, and charging and discharging the battery pack, wherein the method comprises the following steps of: charging the batteries in the battery pack according to the sequence of the absolute values of the charging and discharging sequencing criterion values from large to small; the electrical ordering criterion value is calculated by:
Figure BDA0003548415890000041
Figure BDA0003548415890000042
wherein, k is a variable reference coefficient, delta1A charge-discharge sequencing criterion value; SOC (system on chip)i(t) is the remaining capacity percentage of the battery pack i in the retired power battery pack at the time t, SOCref_Is the SOC reference value, SOH, of the battery packiIs the state of health of the battery pack i;
the variable reference coefficient κ is calculated by:
Figure BDA0003548415890000043
in the formula, PwAnd (t) the error power of the multi-type energy storage system to be tracked.
Further, if not, determining the number of the action batteries in the middle-retired power batteries of the multi-type energy storage system, and charging and discharging the battery pack, wherein the method comprises the following steps: when the target function of the discharge depth of the battery pack is met, the battery pack is charged and discharged, and the target function of the discharge depth of the battery pack is as follows:
Figure BDA0003548415890000044
in the formula, DODi(t) is the cell depth of discharge, SOH, of the battery pack i at time tiThe health degree of the battery pack i in the multi-type energy storage system.
A multi-type energy storage system energy management system, comprising:
the error power acquisition module is used for acquiring the error power of the planned photovoltaic power generation power to be tracked in the day before and the actual photovoltaic power generation output power;
the error power level judging module is used for judging the error power level, and the error power level comprises low power, common power and high power;
the charging and discharging module is used for performing charging and discharging processes on one group of retired power batteries in the multi-type energy storage system if the error power level is low power; and if not, determining the number of the action batteries in the middle-retired power batteries of the multi-type energy storage system, and charging and discharging the battery pack.
A computer device comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, the computer program, when executed by the processor, implementing a multi-type energy storage system energy management method as described above.
A computer-readable storage medium, having stored thereon a computer program, which, when executed by a processor, causes the processor to carry out a multi-type energy storage system energy management method as described above.
Compared with the prior art, the invention has the beneficial effects that:
compared with an energy sharing strategy, the method can limit the DOD (depth of discharge) of the battery with poor health degree, and can effectively delay the service life attenuation of the battery pack to a certain extent. The method achieves the purposes of refining, classifying and gradient utilization of the retired power battery, not only can give full play to the residual value of the energy storage battery, but also can reduce the waste of resources to a certain extent.
Furthermore, the reference value changing strategy follows the charging and discharging principle of 'deep drawing and deep discharging of a new battery and shallow charging and shallow discharging of an old battery', the charging and discharging of the battery pack meet the target function of the discharging depth of the battery pack, the charging and discharging depth and the total charging and discharging amount of each battery pack can be adaptively adjusted according to the SOH (battery health degree) of each battery pack, the service life of the battery pack is prolonged, and the working performance of the battery pack is improved.
Drawings
Fig. 1 is a flowchart of an energy management method of a multi-type energy storage system based on echelon utilization of a power battery according to the present invention.
Fig. 2 is a topological structure diagram of a multi-type energy storage system based on a echelon battery.
Fig. 3 is a flow chart of determining the number of charging and discharging battery packs for the power battery echelon utilization.
Detailed Description
The invention will be further explained with reference to the drawings.
As shown in fig. 1, for the flow chart of the multi-type energy storage system energy management method based on the echelon utilization of power batteries provided by the present invention, a complete multi-type energy storage system (BESS) should be composed of a plurality of multi-type energy storage media, a header cabinet, a master control cabinet, an energy storage converter (PCS), a transformer and a bus bar, and its topology is as shown in fig. 2, each battery pack is linked to the PCS through the header cabinet and the master control cabinet, a plurality of PCS are connected to a low voltage transformer for primary voltage boosting, a plurality of low voltage transformers are connected to a high voltage transformer, and the low voltage side for secondary voltage boosting accesses different application scenarios. As shown in fig. 3, when the BESS receives the charge scheduling command, it first determines the power error signal of the command, determines the level of the power error signal, and then determines the number of the charge/discharge battery packs. The charging and discharging process of the storage battery can be controlled through a PCS (Power Conversion System), namely an energy storage converter, alternating current and direct current are converted, and the AC load can be directly supplied with Power under the condition of no Power grid. The PCS controller is communicated with the BMS through the CAN interface to acquire the state information of the battery pack, so that the protective charging and discharging of the battery CAN be realized, and the running safety of the battery is ensured.
Referring to fig. 1, the method for energy management of a multi-type energy storage system includes the following steps:
acquiring error power of planned photovoltaic power generation power and actual photovoltaic power generation output power to be tracked in the day ahead;
judging the error power level; the error power level comprises low power, common power and high power;
the specific process of judging the error power level is as follows: the error power is less than or equal to the rated power of a single PCS (personal communications system), and is called as low power; when the error power is larger than the rated power of a single PCS (personal communications system) but smaller than 80% of the total rated power of the multi-type energy storage system, the error power is called as common power; when the error power is greater than or equal to 80% of the rated power of the multi-type energy storage system, the system is called high power;
and if the error power is low power, performing charging and discharging processes on any one group of retired power batteries in the multi-type energy storage system, otherwise, determining the number of the action batteries in the retired power batteries in the multi-type energy storage system, and charging and discharging the battery pack.
The charging model of the retired power battery is shown as a formula (1-1), and the discharging model of the retired power battery is shown as a formula (1-2):
Pch_min<Pch_(t)<Pch_max (1-1)
Pdh_min<Pdh_(t)<Pdh_max (1-2)
in the formula, PchIs the charging power of the retired power battery pack at the t moment, Pch_minMinimum charging power, P, for a decommissioned power batterych_maxThe maximum charging power of the retired power battery pack; pdhIs the discharge power of the battery pack at time t, Pdh_minAnd Pdh_maxRespectively the minimum and maximum limit points of the discharge power of the retired power battery.
The percentage of the residual electric quantity of the retired power battery pack at the moment t is as follows:
discharging:
Figure BDA0003548415890000071
charging:
Figure BDA0003548415890000072
SOCmin<SOCi(t)<SOCmax (2-3)
in the formula, EHFor the charging quantity of the battery pack i in the retired power battery in the t-th time period, EGThe discharge amount of the battery pack i in the retired power battery in the t-th time period is set, S is the rated capacity and SOC of the battery pack i in the retired power batteryi(t) is the remaining capacity percentage of the battery pack i in the retired power battery pack at the time t, SOCminFor the minimum SOC value allowed by the battery pack i in the retired power battery, SOCmaxThe maximum SOC value allowed by a battery pack i in the retired power battery is obtained;
electric quantity constraint in the charging process of the retired power battery:
E(t)=(1-σ)E(t-1)-Pess(t)ΔtηH (3-1)
electric quantity constraint in the discharging process of the retired power battery:
E(t)=(1-σ)E(t-1)-Pess(t)ΔtηG (3-2)
power constraint in the charging and discharging process of the retired power battery:
Figure BDA0003548415890000073
Figure BDA0003548415890000074
wherein E (t) is the remaining battery capacity (MWmin) of the battery energy storage system at the end of time t; e (t-1) is the residual battery capacity (MWmin) of the battery energy storage system at the end of the t-1 moment; pess(t) is the charging and discharging power value of the battery energy storage system at the moment t; sigma is the self-discharge rate (min) of the battery energy storage system; etaHCharging efficiency of the battery energy storage system; etaGThe discharge efficiency of the battery energy storage system; Δ t is the calculation window duration (min),
Figure BDA0003548415890000081
for the discharge power of battery i at time t,
Figure BDA0003548415890000082
is the minimum discharge power of the battery pack i,
Figure BDA0003548415890000083
the maximum discharge power of the battery pack i;
Figure BDA0003548415890000084
the charging power for battery i at time t,
Figure BDA0003548415890000085
is the minimum charging power of the battery pack i,
Figure BDA0003548415890000086
the maximum charging power for battery i.
The remaining capacity limit e (t) of the battery energy storage system is:
Emin≤E(t)≤Emax (4-1)
in the formula, EminFor battery energy storage system minimum capacity limit (MWh), EmaxThe battery energy storage system maximum capacity limit (MWh).
Constraint of battery pack charge and discharge power and SOC change:
Figure BDA0003548415890000087
Figure BDA0003548415890000088
in the formula (I), the compound is shown in the specification,
Figure BDA0003548415890000089
the charging and discharging quantities of the battery pack i at the t-th moment, SiFor the rated capacity of battery i, T is the number of time periods divided by one hour.
When the multi-type energy storage system receives a scheduling instruction, the multi-type energy storage system needs to firstly determine the number of batteries to be operated, and specifically, the number of the operating batteries in the middle-retired power battery of the multi-type energy storage system is determined according to the following formula;
Figure BDA00035484158900000810
in the formula, NpcshFor the number of battery groups, P, to be operated in a multi-type energy storage systemwh(t) error power, P, to be tracked for multiple types of energy storage systemspcshFor the rated power of the PCS, this formula is a rounded up formula.
If the number of the action batteries in the determined middle-retired power batteries of the multi-type energy storage system exceeds the maximum number of the battery groups, the action batteries are all the battery groups, namely the action batteries are N-N at the momentmax,NmaxThe maximum value of the number of the battery packs; if the number of the action batteries in the determined middle-retired power batteries of the multi-type energy storage system does not exceed the maximum value of the number of the battery groups, the number of the action batteries is the passing numberThe number calculated by the above formula, i.e. the number of battery groups N that operate at the moment is Npcsh
In order to prolong the service life of the battery and keep the battery pack with lower SOH at a higher SOC level, the invention establishes the battery pack charging and discharging priority criterion with constant parameters and variable reference values.
Starting the battery after the priority of the number of battery groups to be operated in the multi-type energy storage system;
a normal parameter method:
δ=SOCi(t)-SOCi adc (7-1)
Figure BDA0003548415890000091
wherein, SOCi(t) is the SOC and SOC of the battery pack i at the time t in the multi-type energy storage systemref_Is the SOC reference value of the battery pack, delta is the constant parameter charge-discharge sequencing criterion value, SOCi adcReference value for battery i, SOH, taking into account the SOH of the batteryiIs the battery i state of health. The larger the absolute value of δ, the more preferred charging and discharging is.
A variable parameter method:
since the charging and discharging prioritization criteria of the battery packs are the same, the total charging/discharging amount of the battery packs in one working period is the same. For this reason, the normal reference value criterion is further improved, and the charging sequence of the batteries in the battery pack is charged according to the sequence of the absolute values of the charging and discharging sequencing criterion values from large to small; the electrical ordering criterion value is calculated by:
Figure BDA0003548415890000092
Figure BDA0003548415890000093
wherein, k is a variable reference coefficient, delta1To becomeParameter, charge-discharge sequencing criterion value, delta1The larger the absolute value of (a) is, the more preferred charging and discharging is.
The variable reference coefficient κ satisfies the following equation:
Figure BDA0003548415890000101
in the formula, PwAnd (t) the error power of the multi-type energy storage system to be tracked.
According to the determined priority, starting charging and discharging of the battery pack, wherein the charging and discharging of the battery pack meet a battery pack discharging depth target function shown as the following steps:
Figure BDA0003548415890000102
in the formula, DODi(t) is the cell depth of discharge, SOH, of the battery pack i at time tiThe health degree of the battery pack i in the multi-type energy storage system.
And (3) total charge and discharge power constraint of the multi-type energy storage system:
Figure BDA0003548415890000103
a multi-type energy storage system energy management system, comprising:
the power error signal acquisition module is used for acquiring a power error signal;
the error power acquisition module is used for acquiring the error power of the planned photovoltaic power generation power to be tracked in the day before and the actual photovoltaic power generation output power;
the error power level judging module is used for judging the error power level, and the error power level comprises low power, common power and high power;
the charging and discharging module is used for performing charging and discharging processes on one group of retired power batteries in the multi-type energy storage system if the error power level is low power; and if not, determining the number of the action batteries in the middle-retired power batteries of the multi-type energy storage system, and charging and discharging the battery pack.
A computer device comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, the computer program, when executed by the processor, implementing a multi-type energy storage system energy management method as described above.
A computer-readable storage medium, having stored thereon a computer program, which, when executed by a processor, causes the processor to carry out a multi-type energy storage system energy management method as described above.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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 embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
As used in this disclosure, "module," "device," "system," and the like are intended to refer to a computer-related entity, either hardware, a combination of hardware and software, or software in execution. In particular, for example, an element may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. Also, an application or script running on a server, or a server, may be an element. One or more elements may be in a process and/or thread of execution and an element may be localized on one computer and/or distributed between two or more computers and may be operated by various computer-readable media. The elements may also communicate by way of local and/or remote processes based on a signal having one or more data packets, e.g., from a data packet interacting with another element in a local system, distributed system, and/or across a network in the internet with other systems by way of the signal.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
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 multi-type energy storage system energy management method is characterized by comprising the following steps:
acquiring error power of planned photovoltaic power generation power and actual photovoltaic power generation output power to be tracked in the day ahead;
judging the error power level; the error power level comprises small power, common power and large power;
if the error power level is low power, any one group of retired power batteries in the multi-type energy storage system performs charging and discharging processes; and if not, determining the number of the action batteries in the middle-retired power batteries of the multi-type energy storage system, and charging and discharging the action batteries.
2. The method for energy management of a multi-type energy storage system according to claim 1, wherein determining an error power level comprises: the error power is less than or equal to the rated power of a single PCS (power conversion system), and the error power is called as low power; when the error power is larger than the rated power of a single PCS and smaller than 80% of the total rated power of the multi-type energy storage system, the normal power is called; when the error power is more than or equal to 80% of the rated power of the multi-type energy storage system, the system is called high power;
the charging model of the retired power battery is shown as a formula (1-1), and the discharging model of the retired power battery is shown as a formula (1-2):
Pch_min<Pch_(t)<Pch_max (1-1)
Pdh_min<Pdh_(t)<Pdh_max (1-2)
in the formula, PchIs the charging power of the retired power battery pack at the t moment, Pch_minMinimum charging power, P, for a decommissioned power batterych_maxThe maximum charging power of the retired power battery pack; pdhIs the discharge power of the battery pack at time t, Pdh_minAnd Pdh_maxRespectively the minimum and maximum limit points of the discharge power of the retired power battery.
3. The method according to claim 1, wherein the percentage of the remaining capacity of the retired power battery pack at time t is:
during discharging:
Figure FDA0003548415880000011
during charging:
Figure FDA0003548415880000012
SOCmin<SOCi(t)<SOCmax (2-3)
in the formula, EHFor the charging quantity of the battery pack i in the retired power battery in the t-th time period, EGThe discharge amount of the battery pack i in the retired power battery in the t-th time period is used as S, the rated capacity and the SOC of the battery pack i in the retired power battery are used as Si(t) is the remaining capacity percentage of the battery pack i in the retired power battery pack at the time t, SOCminFor the minimum SOC value allowed by the battery pack i in the retired power battery, SOCmaxThe maximum SOC value allowed by the battery pack i in the retired power battery.
4. The method of claim 1, wherein if the error power level is low power, the energy constraint during the charging and discharging process of the retired power battery in the multi-type energy storage system is:
E(t)=(1-σ)E(t-1)-Pess(t)ΔtηH (3-1)
the electric quantity constraint in the discharging process of the retired power battery is as follows:
E(t)=(1-σ)E(t-1)-Pess(t)ΔtηG (3-2)
the power constraint in the charging and discharging process of the retired power battery is as follows:
Figure FDA0003548415880000021
Figure FDA0003548415880000022
wherein E (t) is the residual battery capacity of the battery energy storage system at the end of time t; e (t-1) is the residual battery capacity of the battery energy storage system at the end of the t-1 moment; pess(t) is the charging and discharging power value of the battery energy storage system at the moment t; sigma is the self-discharge rate of the battery energy storage system; etaHCharging efficiency of the battery energy storage system; etaGThe discharge efficiency of the battery energy storage system; at is the duration of the calculation window,
Figure FDA0003548415880000023
for the discharge power of battery i at time t,
Figure FDA0003548415880000024
is the minimum discharge power of the battery pack i,
Figure FDA0003548415880000025
the maximum discharge power of the battery pack i;
Figure FDA0003548415880000026
the charging power for battery i at time t,
Figure FDA0003548415880000027
is the minimum charging power of the battery pack i,
Figure FDA0003548415880000028
the maximum charging power for battery i.
5. The method for energy management of multi-type energy storage system according to claim 1, wherein if not, determining the number of active batteries in the middle-retired power battery of the multi-type energy storage system, and charging and discharging the battery pack, comprises the following steps: determining the number of the active batteries in the middle-retired power battery of the multi-type energy storage system according to the following formula:
Figure FDA0003548415880000031
in the formula, NpcshFor the number of battery groups, P, to be operated in a multi-type energy storage systemwh(t) error power, P, to be tracked for multiple types of energy storage systemspcshIs the rated power of the PCS.
6. The method for energy management of multiple types of energy storage systems according to claim 1, wherein if no, determining the number of active batteries in the middle-retired power batteries of the multiple types of energy storage systems, and charging and discharging the battery pack, comprises the following steps: charging the batteries in the battery pack according to the sequence of the absolute values of the charging and discharging sequencing criterion values from large to small; the electrical ordering criterion value is calculated by:
Figure FDA0003548415880000032
Figure FDA0003548415880000033
wherein, k is a variable reference coefficient, delta1Is a charge-discharge sequencing criterion value; SOCi(t) is the remaining capacity percentage of the battery pack i in the retired power battery pack at the time t, SOCref_Is the SOC reference value, SOH, of the battery packiIs the state of health of the battery pack i;
the variable reference coefficient κ is calculated by:
Figure FDA0003548415880000034
in the formula, PwAnd (t) the error power of the multi-type energy storage system to be tracked.
7. The method for energy management of multi-type energy storage system according to claim 1, wherein if not, determining the number of active batteries in the middle-retired power battery of the multi-type energy storage system, and charging and discharging the battery pack, comprises the following steps: when the target function of the discharge depth of the battery pack is satisfied, the battery pack is charged and discharged, and the target function of the discharge depth of the battery pack is as follows:
Figure FDA0003548415880000035
in the formula, DODi(t) is the cell depth of discharge, SOH, of the battery pack i at time tiThe health degree of the battery pack i in the multi-type energy storage system.
8. A multi-type energy storage system energy management system, comprising:
the error power acquisition module is used for acquiring the error power of the planned photovoltaic power generation power to be tracked in the day before and the actual photovoltaic power generation output power;
the error power level judging module is used for judging the error power level, and the error power level comprises low power, common power and high power;
the charging and discharging module is used for performing charging and discharging processes on one group of retired power batteries in the multi-type energy storage system if the error power level is low power; and if not, determining the number of the action batteries in the middle-retired power batteries of the multi-type energy storage system, and charging and discharging the battery pack.
9. A computer device, characterized in that the computer device comprises a memory and a processor, the memory having stored thereon a computer program operable on the processor, the computer program, when executed by the processor, implementing the multi-type energy storage system energy management method of any of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, causes the processor to perform the multi-type energy storage system energy management method according to any one of claims 1 to 7.
CN202210255257.6A 2022-03-15 2022-03-15 Energy management method, system, equipment and storage medium for multi-type energy storage system Pending CN114583734A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210255257.6A CN114583734A (en) 2022-03-15 2022-03-15 Energy management method, system, equipment and storage medium for multi-type energy storage system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210255257.6A CN114583734A (en) 2022-03-15 2022-03-15 Energy management method, system, equipment and storage medium for multi-type energy storage system

Publications (1)

Publication Number Publication Date
CN114583734A true CN114583734A (en) 2022-06-03

Family

ID=81780181

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210255257.6A Pending CN114583734A (en) 2022-03-15 2022-03-15 Energy management method, system, equipment and storage medium for multi-type energy storage system

Country Status (1)

Country Link
CN (1) CN114583734A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115912447A (en) * 2023-01-06 2023-04-04 中国电力科学研究院有限公司 Energy storage power station power distribution method and system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115912447A (en) * 2023-01-06 2023-04-04 中国电力科学研究院有限公司 Energy storage power station power distribution method and system

Similar Documents

Publication Publication Date Title
CN103986190A (en) Wind and solar storage combining power generation system smooth control method based on power generation power curves
CN110571838B (en) Energy storage battery early peak load reduction control method and device
CN112622693A (en) Battery management method and device and vehicle
CN112687969B (en) Synchronous retirement cooperative control method, system and medium based on energy storage system
CN105262117A (en) Wind power climbing optimization control method
CN110460075B (en) Hybrid energy storage output control method and system for stabilizing peak-valley difference of power grid
CN114094600B (en) Collaborative operation control method and system for multi-optical storage VSG system
CN103997052A (en) A method for controlling the active power of multiple energy-storage power stations
Zhang et al. Sequence control strategy for hybrid energy storage system for wind smoothing
CN107579530B (en) Low-frequency load shedding method and low-frequency load shedding control system for power grid
CN109655753A (en) A kind of evaluation method of battery pack SOC
CN114583734A (en) Energy management method, system, equipment and storage medium for multi-type energy storage system
Li et al. Research on optimal scheduling method of hybrid energy storage system considering health state of echelon-use lithium-ion battery
CN104617592B (en) The control method and device of energy-storage system
CN115238992B (en) Coordination optimization method and device for power system source load storage and electronic equipment
CN115411755B (en) Electric energy storage combination management method and system
CN115360738B (en) Electric automobile primary frequency modulation control method considering controllable domain constraint
CN116599101A (en) Hybrid energy storage power self-adaptive distribution method and system based on multi-objective coordination
CN106953346B (en) Off-grid micro-grid energy management method for sodium-sulfur battery
CN112952883B (en) Charging control method and system of distributed energy storage system
Dai et al. Optimization of electric vehicle charging capacity in a parking lot for reducing peak and filling valley in power grid
CN110429627B (en) Energy storage late-peak load reduction method based on load self-adaption
CN113708444A (en) Energy balance control method and device for energy storage power station
CN110768305B (en) Method, device and equipment for coordinating standby resources and storage medium
CN113949135A (en) Energy storage SOC recovery control method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination