CN113595122B - Aggregation response capability determining method and system of distributed energy storage system - Google Patents

Aggregation response capability determining method and system of distributed energy storage system Download PDF

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CN113595122B
CN113595122B CN202111013145.1A CN202111013145A CN113595122B CN 113595122 B CN113595122 B CN 113595122B CN 202111013145 A CN202111013145 A CN 202111013145A CN 113595122 B CN113595122 B CN 113595122B
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energy storage
storage device
time period
power
maximum
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CN113595122A (en
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徐湘楚
米增强
马云凤
王吉兴
蒋衍君
纪陵
李靖霞
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North China Electric Power University
Nanjing SAC Automation Co Ltd
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Nanjing SAC Automation Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers

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  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
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Abstract

The invention relates to a method for determining aggregation response capability of a distributed energy storage system, which comprises the following steps: determining the actual maximum charging and discharging power value of each energy storage device in any time period under different SOC according to the historical charging and discharging curve of each energy storage device in the distributed energy storage system under different SOC; calculating the maximum variable power of each energy storage device in the time period according to the actual maximum power value of each energy storage device in the time period and the self-operation constraint of each energy storage device; the method and the device calculate the sum of the maximum variable power of each energy storage device in the period of time to obtain the maximum aggregation response capability of the distributed energy storage system.

Description

Aggregation response capability determining method and system of distributed energy storage system
Technical Field
The invention relates to the field of power grid auxiliary service and demand response, in particular to a method and a system for determining aggregate response capability of a distributed energy storage system.
Background
By the end of 2020, the installed scales of the Chinese new energy are respectively 2.8 hundred million kilowatts of wind power and 2.5 hundred million kilowatts of photovoltaic power, and the installed scale accounts for 24.3 percent of the total installed scale; the generated energy of the new energy is 4665 hundred million kilowatt-hours of wind power and 2605 hundred million kilowatt-hours of photovoltaic respectively, and the proportion of the generated energy to the total generated energy is 9.5 percent. However, the randomness and the volatility of new energy can bring hidden troubles to the safe and stable operation of a power grid, and the flexibility of a power system can be reduced due to the reduction of the thermal power generation proportion. One of the conventional solutions to this problem is to deploy large-scale centralized energy storage on the source side, but is often not practical for cost-effectiveness reasons. Compared with centralized energy storage, the distributed energy storage on the load side has flexible installation places, reduces the line loss and the investment pressure of a centralized energy storage power station, is a high-quality adjustable resource due to the rapid development of the cost advantage and the huge schedulable potential, can obviously enhance the supply and demand balance capability of the power system by digging the distributed energy storage aggregation response potential through the demand response technology, and provides multiple auxiliary services for the power system.
However, the controllable power of the distributed energy storage units is small, the distributed energy storage units are widely distributed in the system, and the distributed energy storage units are not easily directly called by the system, so that how to utilize the fragmented controllable resources to participate in the operation of the power grid is a problem to be solved urgently, and the evaluation of the cluster aggregation response capability of the distributed energy storage units is a prerequisite basis for participating in the response of the system.
Disclosure of Invention
The invention aims to provide a method and a system for determining aggregation response capability of a distributed energy storage system, so as to realize the evaluation of cluster aggregation response capability of the distributed energy storage system and further realize the scheduling of the distributed energy storage system.
In order to achieve the purpose, the invention provides the following scheme:
the invention provides a method for determining aggregation response capability of a distributed energy storage system, which comprises the following steps:
determining the maximum charging and discharging power which can be provided by each energy storage device in any time period according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOC;
calculating the maximum variable power of each energy storage device in any time period according to the maximum charge-discharge power which can be provided by each energy storage device in any time period and the maximum capacity and the minimum capacity of each energy storage device in the time period, and taking the maximum variable power as the response capacity value of each energy storage device; the maximum variable power includes a maximum increasable power and a maximum cutable power;
and calculating the sum of the maximum variable power of each energy storage device in each time period in the time window, wherein the sum is used as the maximum aggregation response capacity value of the distributed energy storage system of the time period, and the sum is used as the maximum aggregation response capacity value of the distributed energy storage system of the time period.
Optionally, the determining, according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOCs, a maximum charging and discharging power that each energy storage device can provide in any time period specifically includes:
respectively utilizing a formula according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOC
Figure GDA0003542417660000021
Calculating a charge-discharge current curve of each energy storage device in the time period; wherein n represents the historical charging and discharging response times of the energy storage device,
Figure GDA0003542417660000022
Figure GDA0003542417660000023
and
Figure GDA0003542417660000024
respectively representing the response current values of the nth time, the nth-1 time, the nth-2 time, the 2 nd time and the 1 st time of historical charging and discharging corresponding to the time t in the time period; i all right angle(t)A charge/discharge current value indicating a time t within the period;
according to the charging and discharging current curve of each energy storage device in the time period, a formula is utilized
Figure GDA0003542417660000025
Determining a maximum charge-discharge power curve which can be provided by each energy storage device in the time period; wherein the content of the first and second substances,
Figure GDA0003542417660000026
the maximum charge and discharge power that the energy storage device can provide is represented, and U represents the voltage of the energy storage device.
Optionally, the calculating, according to the maximum charge/discharge power that can be provided by each energy storage device in any period of time and the maximum capacity and the minimum capacity of each energy storage device in the period of time, the maximum variable power of each energy storage device in the period of time as the response capability value of each energy storage device specifically includes:
determining the variable range of the power and the electric quantity of each energy storage device in the time period by combining the self-operation constraint of the energy storage device according to the actual maximum charge-discharge power which can be provided by each energy storage device in the time period and using the following formula;
P(t)＝mc(t)Pcηc-md(t)Pd/ηd；
mc(t)+md(t)≤1；
0≤Pc≤Pc max；
0≤Pd≤Pd max；
Figure GDA0003542417660000031
Figure GDA0003542417660000032
Emin≤E(t)≤Emax；
Eup(t)＝min(E(t),Emax)；
Edn(t)＝max(E(t),Emin)；
wherein p (t) represents the power value of the energy storage means at time t within said time period; p iscActual charging power; pdIs the actual discharge power; etacAnd ηdRespectively the charging efficiency and the discharging efficiency of the energy storage device; m is a unit ofc(t) is an integer variable of state of charge 0-1, mc(t) ═ 1 denotes that the energy storage device is in the charged state, mc(t) ═ 0 means that the energy storage device is in a non-charging state; m isd(t) is an integer variable of 0-1 in the discharge state, md(t) ═ 1 denotes that the energy storage device is in the discharge state, md(t) ═ 0 indicates that the energy storage device is in a non-discharging state; pc maxAnd Pd maxRespectively representing the maximum charging power and the maximum discharging power of the energy storage device; s (t) represents the SOC value of the energy storage device at time t; s. thesThe initial SOC value of the energy storage device is obtained; t is tsIs the initial time of the response period; e (t) is the electric quantity of the energy storage device at the moment t; b iseIs the rated capacity of the energy storage device; esThe initial electric quantity of the energy storage device; emaxAnd EminRespectively representing the maximum capacity and the minimum capacity of the energy storage device; eup(t) and Edn(t) respectively representing an upper electric quantity boundary and a lower electric quantity boundary of the energy storage device at the moment t;
calculating the average power value of each energy storage device in the time period according to the power of each energy storage device in the time period;
determining the electric quantity value of each energy storage device after the time period according to the average power value of each energy storage device in the time period;
and calculating the maximum variable power of each energy storage device in the time period according to the average power value and the electric quantity variable range of each energy storage device in the time period.
Optionally, the determining, according to the average power value of each energy storage device in the time period, the electric quantity value of each energy storage device after the time period specifically includes:
according to the average power value of each energy storage device in the time period, a formula is utilized
Figure GDA0003542417660000041
Determining an electrical quantity value for each energy storage device after the time period; wherein E (k) represents the electric quantity value of the energy storage device after the time interval k, P (j) represents the average power value of the energy storage device in the time interval j, and v (j) represents the storage in the time interval jThe state of the device being on or off, v (j) 1 being on, v (j) 0 being off, EsRepresenting the initial charge of the energy storage means and at representing the time interval of the time period.
Optionally, the calculating the maximum variable power of each energy storage device in the time period according to the average power value and the variable electric quantity range of each energy storage device in the time period specifically includes:
calculating the maximum variable power of each energy storage device in the time period by using the following formula according to the average power value of each energy storage device in the time period and the electric quantity value of each energy storage device after the time period:
Figure GDA0003542417660000042
Figure GDA0003542417660000043
wherein, P+(k) And P-(k) Respectively representing the maximum increasable power and the maximum reducible power of the energy storage device in the time period k, v (k) representing the state whether the energy storage device is on-line in the time period k, Pc maxAnd Pd maxRespectively representing the maximum charging power and the maximum discharging power of the energy storage device, P (k) representing the average operating power value of the energy storage device during a time period k, Eup(k) And Edn(k) Respectively representing the upper and lower bounds of the energy storage device's electrical quantity during time period k, E (k-1) representing the energy storage device's electrical quantity value after time period k-1, and deltat representing the time interval of the time period.
An aggregated response capability determination system for a distributed energy storage system, the determination system comprising:
the maximum power value calculation module is used for determining the maximum charging and discharging power which can be provided by each energy storage device in any time period according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOC;
the maximum variable power calculation module is used for calculating the maximum variable power of each energy storage device in any time period according to the maximum charge-discharge power which can be provided by each energy storage device in any time period and the maximum capacity and the minimum capacity of each energy storage device in the time period, and the maximum variable power is used as the response capacity value of each energy storage device; the maximum variable power includes a maximum increasable power and a maximum cutable power;
and the maximum aggregation response capacity calculation module is used for calculating the sum of the maximum variable power of each energy storage device in each time period in the time window, and taking the sum as the maximum aggregation response capacity value of the distributed energy storage system in the time period and the maximum aggregation response capacity value of the distributed energy storage system in the time period.
Optionally, the maximum power value calculating module specifically includes:
a charging and discharging current curve determining submodule for respectively utilizing a formula according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOCs
Figure GDA0003542417660000051
Calculating a charge-discharge current curve of each energy storage device in the time period; wherein n represents the historical charging and discharging response times of the energy storage device,
Figure GDA0003542417660000052
and
Figure GDA0003542417660000053
respectively representing the response current values of the nth, the (n-1) th, the (n-2) th, the (2) th and the (1) th historical charging and discharging corresponding to the time t in the time period; i all right angle(t)A charge-discharge current value representing a time t within the period;
the actual maximum charge-discharge power calculation submodule capable of being provided by the energy storage device is used for utilizing a formula according to charge-discharge current curves of each energy storage device under different SOC within the time period
Figure GDA0003542417660000054
Determine the timeActual maximum charge and discharge power which can be provided by each energy storage device in the section under different SOC; wherein the content of the first and second substances,
Figure GDA0003542417660000055
represents the actual maximum charge-discharge power that the energy storage device can provide, and U represents the voltage of the energy storage device.
Optionally, the maximum variable power calculating module specifically includes:
the power constraint sub-module is used for determining the variable range of the power and the electric quantity of each energy storage device in the time period by combining the self operation constraint of the energy storage device according to the actual maximum charge-discharge power which can be provided by each energy storage device in the time period and utilizing the following formula;
P(t)＝mc(t)Pcηc-md(t)Pd/ηd；
mc(t)+md(t)≤1；
0≤Pc≤Pc max；
0≤Pd≤Pd max；
Figure GDA0003542417660000056
Figure GDA0003542417660000057
Emin≤E(t)≤Emax；
Eup(t)＝min(E(t),Emax)；
Edn(t)＝max(E(t),Emin)；
wherein p (t) represents the power value of the energy storage means at time t within said time period; p iscActual charging power; pdIs the actual discharge power; etacAnd ηdRespectively charging efficiency and discharging efficiency of the energy storage device; m isc(t) is an integer of 0 to 1 in the state of chargeVariable, mc(t) ═ 1 denotes that the energy storage device is in a charged state, mc(t) ═ 0 indicates that the energy storage device is in a non-charging state; m isd(t) is an integer variable of 0-1 in the discharge state, md(t) ═ 1 denotes that the energy storage device is in the discharge state, md(t) ═ 0 indicates that the energy storage device is in a non-discharging state; pc maxAnd Pd maxRespectively representing the maximum charging power and the maximum discharging power of the energy storage device; (t) represents the SOC value of the energy storage device at time t; ssThe initial SOC value of the energy storage device is obtained; t is tsIs the initial time of the response period; e (t) is the electric quantity of the energy storage device at the moment t; beIs the rated capacity of the energy storage device; esThe initial electric quantity of the energy storage device; emaxAnd EminRespectively representing the maximum capacity and the minimum capacity of the energy storage device; eup(t) and Edn(t) respectively representing an upper electric quantity boundary and a lower electric quantity boundary of the energy storage device at the moment t;
the average power value calculation submodule is used for calculating the average power value of each energy storage device in the time period according to the power of each energy storage device in the time period;
the electric quantity value calculation submodule is used for determining the electric quantity value of each energy storage device after the time interval according to the average power value of each energy storage device in the time interval;
and the maximum variable power calculation sub-module is used for calculating the maximum variable power of each energy storage device in the time period according to the average power value and the electric quantity variable range of each energy storage device in the time period.
Optionally, the electric quantity value calculation sub-module specifically includes:
a power value calculation unit for using a formula according to the average power value of each energy storage device in the time period
Figure GDA0003542417660000061
Determining an electrical quantity value for each energy storage device after the time period; wherein E (k) represents the electric quantity value of the energy storage device after the time interval k, P (j) represents the average power value of the energy storage device in the time interval j, v (j) tableShowing the state of whether the energy storage device is on-line or not in a time period j, wherein v (j) is 1, v (j) is 0, and E is off-linesRepresenting the initial charge of the energy storage device and at representing the time interval of the time period.
Optionally, the maximum variable power calculation sub-module specifically includes:
a maximum variable power calculating unit, configured to calculate a maximum variable power of each energy storage device in the time period according to the average power value of each energy storage device in the time period and the electric quantity value of each energy storage device after the time period by using the following formula:
Figure GDA0003542417660000071
Figure GDA0003542417660000072
wherein, P+(k) And P-(k) Respectively representing the maximum increasable power and the maximum reducible power of the energy storage device in the time period k, v (k) representing the state whether the energy storage device is on-line in the time period k, Pc maxAnd Pd maxRespectively representing the maximum charging power and the maximum discharging power of the energy storage device, P: (k) Representing the average operating power value, E, of the energy storage means during time period kup(k) And Edn(k) Respectively representing the upper and lower electric quantity boundaries of the energy storage device in the time period k, E (k-1) representing the electric quantity value of the energy storage device after the time period k-1, and delta t representing the time interval of the time period.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention discloses a method and a system for determining aggregation response capability of a distributed energy storage system, wherein the determination method comprises the following steps: determining the actual maximum charge-discharge power value of each energy storage device under different SOC according to the historical charge-discharge curve of each energy storage device under different SOC in the distributed energy storage system; calculating the maximum variable power of each energy storage device in the time period according to the actual maximum charging and discharging power value of each energy storage device in the time period and by combining the self operation constraint of the energy storage device, and taking the maximum variable power as the response capacity value of each energy storage device; the method comprises the steps of calculating the sum of the maximum variable power of each energy storage device in each time period in a time window, taking the sum as the maximum aggregation response capacity value of the distributed energy storage system in the time period and taking the value as the maximum aggregation response capacity of the distributed energy storage system in the time period.
In addition, the invention provides a dynamic updating method of the distributed energy storage system in the dispatching process of the distributed energy storage system by determining the cluster aggregation response capability of the distributed energy storage system in different time windows (time periods).
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a flowchart of a method for determining an aggregation response capability of a distributed energy storage system according to the present invention;
FIG. 2 is a flow chart of data collection and update of an energy storage device according to the present invention;
FIG. 3 is a graph illustrating historical charging and discharging curves collected by the energy storage device according to the present invention;
FIG. 4 is a schematic illustration of the effect of power constraints provided by the present invention on the responsiveness of an energy storage device;
FIG. 5 is a schematic diagram illustrating the effect of the response capability of the energy storage device to power constraints provided by the present invention;
fig. 6 is a schematic diagram of a cluster aggregation response capability of a distributed energy storage system in different time windows (time periods) provided by the present invention;
fig. 7 is a flowchart of a dynamic scheduling method of a distributed energy storage system according to the present invention;
FIG. 8 is a boundary of increased response power for a distributed energy storage system provided by the present invention;
fig. 9 is a reducible response power boundary of the distributed energy storage system provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method and a system for determining aggregation response capability of a distributed energy storage system, so as to realize the evaluation of cluster aggregation response capability of the distributed energy storage system and further realize the scheduling of the distributed energy storage system.
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description thereof.
The invention provides an energy storage device personalized modeling method for State of charge (SOC) value matching by considering the influence of environmental factors such as attenuation characteristics, temperature, seasons and the like of an energy storage device and based on historical operating data of the energy storage device collected and stored in an offline database, and the response capability and cluster aggregation response capability of a single energy storage device are evaluated.
Example 1
The invention provides a method for determining aggregation response capability of a distributed energy storage system, which comprises the following steps of:
step 101, determining the maximum charging and discharging power which can be provided by each energy storage device in any time period according to historical charging and discharging curves of each energy storage device in a distributed energy storage system under different SOC.
Step 101, determining the maximum charge and discharge power that each energy storage device can provide in any time period according to the historical charge and discharge curves of each energy storage device in the distributed energy storage system under different SOCs, specifically including:
carrying out SOC value matching on the collected energy storage device operation data and the historical energy storage device operation data in an offline database, and if the historical data which are the same as the real-time SOC value do not exist in the database, storing the real-time energy storage device operation data as new data in the database; if the historical data which is the same as the real-time SOC value exists in the database, the energy storage device operation data corresponding to the same SOC value is weighted and averaged to serve as an updating result to be stored in the database again, and the method is shown in figure 2.
As shown in fig. 3 (taking 5 times of historical data as an example), because the characteristics of the energy storage device are attenuated with the increase of the number of times of use, the charging/discharging curve changes with time, and the charging/discharging is also affected by external environments such as seasonal temperature, a charging/discharging curve modeling method for the energy storage device driven based on the historical data is proposed, and the charging/discharging current calculation formula is as follows:
Figure GDA0003542417660000091
in the formula: wherein n represents the historical charging and discharging response times of the energy storage device,
Figure GDA0003542417660000092
and
Figure GDA0003542417660000093
respectively representing the response current values of the nth time, the nth-1 time, the nth-2 time, the 2 nd time and the 1 st time of historical charging and discharging corresponding to the time t in the time period; i.e. i(t)Representing the current value at time t within said period.
The formula (1) can update the charging/discharging curve of the energy storage device in real time according to the data of the historical charging/discharging curve of the energy storage device, so that the charging/discharging curve can more accurately describe the characteristics of the energy storage device. Therefore, the response capability of the energy storage device, namely the magnitude of the provided charging/discharging power can be accurately evaluated, and the power calculation formula is as follows:
Figure GDA0003542417660000094
in the formula:
Figure GDA0003542417660000101
represents the actual maximum charge-discharge power that the energy storage device can provide, U is the system voltage (can be regarded as a constant value under the actual working condition), i(t)And the current is real-time current of the energy storage device.
The invention can accurately evaluate the actual maximum power which can be provided by a single energy storage device through a simple SOC value matching method, and can evaluate the response capability of the single energy storage device by combining the power and electric quantity constraint conditions of the energy storage device. The effect of power constraints on the responsiveness of a single energy storage device is illustrated schematically in fig. 4.
The power constraint conditions are shown in equations (3) to (6):
P(t)＝mc(t)Pcηc-md(t)Pd/ηd (3)
mc(t)+md(t)≤1 (4)
0≤Pc≤Pc max (5)
0≤Pd≤Pd max (6)
in the formula: p (t) represents the power value of the energy storage means at time t; p iscAnd PdReal-time charging power and discharging power respectively; etacAnd ηdAre respectively provided withTo charge efficiency and discharge efficiency; m is a unit ofc(t) is an integer variable of state of charge 0-1, mc(t) ═ 1 denotes that the energy storage device is in a charged state, mc(t) ═ 0 indicates that the energy storage device is in a non-charging state; m is a unit ofd(t) is an integer variable of 0-1 in the discharge state, md(t) ═ 1 denotes that the energy storage device is in the discharge state, md(t) ═ 0 indicates that the energy storage device is in a non-discharging state; pc maxAnd Pd maxRespectively, the maximum charge/discharge power of the energy storage device.
The power provided by a single energy storage device can be accurately evaluated by a simple SOC value matching method, and the response capability of the single energy storage device can be evaluated by combining the power and electric quantity constraint conditions of the energy storage device. See step 102 for details.
102, calculating the maximum variable power of each energy storage device in any period according to the maximum charge-discharge power which can be provided by each energy storage device in any period and the maximum capacity and the minimum capacity of each energy storage device in the period, and taking the maximum variable power as the response capacity value of each energy storage device.
The effect of the charge constraints on the responsiveness of the individual energy storage devices is illustrated schematically in fig. 5. The electric quantity constraint conditions are shown in formulas (7) to (11):
Figure GDA0003542417660000102
Figure GDA0003542417660000103
Emin≤E(t)≤Emax (9)
Eup(t)＝min(E(t),Emax) (10)
Edn(t)＝max(E(t),Emin) (11)
in the formula: (t) represents the SOC value of the energy storage device at time t; ssThe initial SOC value of the energy storage device is obtained; t is tsIs the initial time of the response period; e (t) is the electric quantity of the energy storage device at the time t; b iseIs the rated capacity of the energy storage device; esThe initial electric quantity of the energy storage device; emaxAnd EminRespectively representing the maximum capacity and the minimum capacity of the energy storage device; eup(t) and EdnAnd (t) respectively representing the upper and lower electric quantity boundaries of the energy storage device at the moment t.
When evaluating the response capability of a single energy storage device, a scheduling time window [ t ] is formed without discretizing a time axis1,t2]Is divided into m ═ t2-t1) Δ t periods of length Δ t. When the time-varying power within Δ t is frozen, equation (8) can be rewritten as equation (12).
Figure GDA0003542417660000111
In the formula: e (k) represents the electric quantity value of the energy storage device after time period k, p (j) represents the average power value of the energy storage device in time period j, v (j) represents the on-line state of the energy storage device in time period j, v (j) 1 represents the on-line state, v (j) 0 represents the off-line state, E (j) represents the off-line state, andsrepresenting the initial charge of the energy storage device and at representing the time interval of the time period.
The response capability of a single energy storage device, i.e. the maximum power increase/decrease calculation formula, is shown in equations (13) to (14):
Figure GDA0003542417660000112
Figure GDA0003542417660000113
in the formula: p is+(k) And P-(k) Represents the maximum increasable power and the maximum cutable power of a single energy storage device; p (k) is the current operating power; p isc maxP (k) maximum increasable Power Range taking into account Power constraints, Eup(k) E (k-1) is the kthMaximum chargeable capacity in time period, (E)up(k) E (k))/Δ t + P (k) reflects the influence of the power constraint in consideration of the chargeable potential of the energy storage device under the current working condition, and the terms in equation (14) are similar to those in equation (13), and in addition, the discharge of the energy storage device can be regarded as the reduction of the charging power.
The aggregated response capability of the distributed energy storage system under different time windows is evaluated in step 103.
And step 103, calculating the sum of the maximum variable power of each energy storage device in each time interval in the time window as the maximum aggregation response capacity value of the distributed energy storage system in the time interval.
According to the step (2), the maximum aggregate total capacity and average power calculation formulas of the distributed energy storage system under different time windows are shown as formulas (15) to (18):
Figure GDA0003542417660000121
Figure GDA0003542417660000122
Figure GDA0003542417660000123
Figure GDA0003542417660000124
in the formula:
Figure GDA0003542417660000125
and
Figure GDA0003542417660000126
respectively providing the maximum increased total capacity and the maximum reduced total capacity of the distributed energy storage system in a time window;
Figure GDA0003542417660000127
and
Figure GDA0003542417660000128
respectively increasing the maximum average power and reducing the maximum average power of the distributed energy storage system in a time window; n is the number of energy storage devices; m is the total time period number under the time window; p+(i, k) and P-(i, k) are the maximum increasable power and the maximum decreasable power of the ith energy storage device in the kth period respectively.
Fig. 6 is a schematic diagram of cluster aggregation response capabilities of the distributed energy storage system under different time windows.
Example 2
An aggregated response capability determination system for a distributed energy storage system, the determination system comprising:
the maximum power value calculation module is used for determining the maximum charging and discharging power which can be provided by each energy storage device in any time period according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOC.
The maximum power value calculating module specifically includes: a charging and discharging current curve determining submodule for respectively utilizing a formula according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOCs
Figure GDA0003542417660000129
Calculating a charge-discharge current curve of each energy storage device in the time period; wherein n represents the historical charging and discharging response times of the energy storage device,
Figure GDA00035424176600001210
and
Figure GDA00035424176600001211
respectively representing the response current values of the nth time, the nth-1 time, the nth-2 time, the 2 nd time and the 1 st time of historical charging and discharging corresponding to the time t in the time period; i.e. i(t)A charge/discharge current value indicating a time t within the period; energy storage deviceThe actual maximum charge-discharge power calculation submodule is used for utilizing a formula according to charge-discharge current curves of each energy storage device under different SOCs in the time period
Figure GDA0003542417660000131
Determining the actual maximum charge-discharge power which can be provided by each energy storage device under different SOC in the period; wherein the content of the first and second substances,
Figure GDA0003542417660000132
represents the actual maximum charge-discharge power that the energy storage device can provide, and U represents the voltage of the energy storage device.
The maximum variable power calculation module is used for calculating the maximum variable power of each energy storage device in any period according to the maximum charge-discharge power which can be provided by each energy storage device in any period and the maximum capacity and the minimum capacity of each energy storage device in the period, and the maximum variable power is used as the response capacity value of each energy storage device; the maximum variable power includes a maximum increasable power and a maximum cutable power.
The maximum variable power calculation module specifically comprises:
the power constraint sub-module is used for determining the variable range of the power and the electric quantity of each energy storage device in the time period by combining the self operation constraint of the energy storage device according to the actual maximum charge-discharge power which can be provided by each energy storage device in the time period and utilizing the following formula;
P(t)＝mc(t)Pcηc-md(t)Pd/ηd；
mc(t)+md(t)≤1；
0≤Pc≤Pc max；
0≤Pd≤Pd max；
Figure GDA0003542417660000133
Figure GDA0003542417660000134
Emin≤E(t)≤Emax；
Eup(t)＝min(E(t),Emax)；
Edn(t)＝max(E(t),Emin)；
wherein p (t) represents the power value of the energy storage device at time t within said time period; pcActual charging power; p isdActual discharge power; etacAnd ηdRespectively the charging efficiency and the discharging efficiency of the energy storage device; m isc(t) is an integer variable of state of charge 0-1, mc(t) ═ 1 denotes that the energy storage device is in the charged state, mc(t) ═ 0 indicates that the energy storage device is in a non-charging state; m isd(t) is an integer variable of 0-1 in the discharge state, md(t) ═ 1 denotes that the energy storage device is in the discharge state, md(t) ═ 0 indicates that the energy storage device is in a non-discharging state; pc maxAnd Pd maxRespectively representing the maximum charging power and the maximum discharging power of the energy storage device; (t) represents the SOC value of the energy storage device at time t; s. thesThe initial SOC value of the energy storage device is obtained; t is tsIs the initial time of the response period; e (t) is the electric quantity of the energy storage device at the moment t; beIs the rated capacity of the energy storage device; esThe initial electric quantity of the energy storage device; emaxAnd EminRespectively representing the maximum capacity and the minimum capacity of the energy storage device; eup(t) and EdnAnd (t) respectively representing the upper limit and the lower limit of the electric quantity of the energy storage device at the t moment.
And the average power value calculation submodule is used for calculating the average power value of each energy storage device in the time period according to the power of each energy storage device in the time period.
And the electric quantity value calculation submodule is used for determining the electric quantity value of each energy storage device after the time interval according to the average power value of each energy storage device in the time interval.
And the maximum variable power calculation sub-module is used for calculating the maximum variable power of each energy storage device in the time period according to the average power value and the electric quantity variable range of each energy storage device in the time period.
The electric quantity value calculation submodule specifically comprises:
a power value calculation unit for using a formula according to the average power value of each energy storage device in the time period
Figure GDA0003542417660000141
Determining an electrical quantity value for each energy storage device after the time period; wherein E (k) represents the electric quantity value of the energy storage device after time period k, p (j) represents the average power value of the energy storage device in time period j, v (j) represents the on-line state of the energy storage device in time period j, v (j) 1 represents on-line, v (j) 0 represents off-line, E (j) represents off-linesRepresenting the initial charge of the energy storage means and at representing the time interval of the time period.
The maximum variable power calculation submodule specifically includes:
a maximum variable power calculating unit, configured to calculate a maximum variable power of each energy storage device in the time period according to the average power value of each energy storage device in the time period and the electric quantity value of each energy storage device after the time period by using the following formula:
Figure GDA0003542417660000142
Figure GDA0003542417660000143
wherein, P+(k) And P-(k) Respectively representing the maximum increasable power and the maximum reducible power of the energy storage device in a time period k, v (k) representing the state whether the energy storage device is on line in the time period k, Pc maxAnd Pd maxRespectively representing the maximum charging power and the maximum discharging power of the energy storage means, P (k) representing the average operating power value of the energy storage means during time period k, Eup(k) And Edn(k) Respectively representing the upper and lower bounds of the energy storage device's electrical quantity during time period k, E (k-1) representing the energy storage device's electrical quantity value after time period k-1, and deltat representing the time interval of the time period.
And the maximum aggregation response capacity calculation module is used for calculating the sum of the maximum variable power of each energy storage device in each time period in the time window, and taking the sum as the maximum aggregation response capacity value of the distributed energy storage system in the time period and the maximum aggregation response capacity value of the distributed energy storage system in the time period.
Example 3
The invention also provides a dynamic scheduling method of the distributed energy storage system, which comprises the following steps:
dividing a preset time window into a plurality of time periods, and taking the initial time period as the current time period;
calculating the maximum aggregation response capacity of the distributed energy storage system in the current time period by adopting an aggregation response capacity determination method of the distributed energy storage system;
calculating the absolute value of the difference value between the maximum aggregation response capacity of the distributed energy storage system in the current time period and the target power;
and when the absolute value is not less than the preset threshold, gradually increasing the number of the controlled energy storage devices by taking the battery degradation cost of the energy storage devices as a first index and the SOC value of the energy storage devices as a second index, and returning to the step of 'calculating the maximum aggregation response capacity of the distributed energy storage system again by adopting the aggregation response capacity determination method of the distributed energy storage system' until the absolute value of the difference value between the maximum aggregation response capacity and the target power is less than the preset threshold.
That is, the time window [ t, t + Δ t ] is evaluated]Setting dispatching target power value P of response system of distributed energy storage system within range of internal response capabilitySAnd screening i energy storage devices according to the scheduling command.
When the distributed energy storage system is required to increase the response power, the discharge power of the energy storage device is preferentially reduced, and the battery degradation cost CeHigh energy storage priority stop discharge, CeSmall SOC storage at the same timeThe energy devices stop discharging preferentially, when all the energy storage devices cannot meet the set cluster response increase target power even though the energy storage devices stop discharging, the charging of the energy storage devices is considered, and the battery degradation cost CeCharging of small energy storage devices is preferably started, CeWhen the SOC is small, the energy storage device starts charging preferentially.
When the distributed energy storage system is required to reduce response power, the charging power of the energy storage device is preferentially reduced, and the battery degradation cost CeHigh energy storage devices preferentially stop charging, CeThe energy storage devices with the same SOC are preferentially stopped charging, when all the energy storage device sets cannot meet the set cluster response and the target power is reduced after the energy storage devices are stopped charging, the discharging of the energy storage devices is considered, and the battery degradation cost CeSmall energy storage devices begin to discharge preferentially, CeThe energy storage device with the same SOC starts discharging preferentially.
According to the generated priority queue of the energy storage device, response system scheduling is carried out, whether the power flow of the power distribution network is out of limit or not is checked, and response power P is checkedaggAnd a target power set point PSWhether the amount of shift of (c) is within an acceptable range, i.e. | Pagg-PSIf | ≦ sigma is true, then according to [ t, t + delta t]And updating the state information of the energy storage devices at the time t according to the calling condition of the internal energy storage devices, and if the state information of the energy storage devices at the time t is not updated, increasing the number of the energy storage devices participating in response when i is equal to i + 1.
t + Δ t, and the step "evaluation time window [ t, t + Δ t" is repeated for the next evaluation period]Setting a dispatching target power value P of a distributed energy storage system response system within the range of the internal response capabilitySAnd screening i energy storage devices' according to the scheduling command until the condition is met and exiting.
Example 4
A dynamic scheduling system for a distributed energy storage system, the scheduling system comprising:
the time interval dividing module is used for dividing a preset time window into a plurality of time intervals and taking the initial time interval as the current time interval;
the maximum aggregate total capacity calculation module is used for calculating the maximum aggregate response capacity of the distributed energy storage system in the current time period by adopting an aggregate response capacity determination method of the distributed energy storage system;
the absolute value calculation module is used for calculating the absolute value of the difference value between the maximum aggregation response capacity of the distributed energy storage system in the current time period and the target power;
and the distributed energy storage system updating module is used for gradually increasing the number of the controlled energy storage devices by taking the battery degradation cost of the energy storage devices as a first index and the SOC value of the energy storage devices as a second index when the absolute value is not less than a preset threshold, and returning to the step of recalculating the maximum aggregation response capacity of the distributed energy storage system at the current time period by adopting the aggregation response capacity determining method of the distributed energy storage system until the absolute value of the difference value between the maximum aggregation response capacity and the target power is less than the preset threshold.
Example 5
Example analysis
In order to verify the effectiveness and accuracy of the method for evaluating the individualized modeling and cluster aggregation response capability of the energy storage device based on data driving, 100 charge-discharge tests are respectively carried out on three distributed energy storage systems of different models, and the collected SOC-i data is stored in an initial database in a constant-voltage charging mode. The parameters of the distributed energy storage systems of different models are shown in table 1, and it is assumed that each of 200 energy storage devices of three models is in a certain distribution network area, the distributed energy storage systems need to participate in demand response at 10: 00-14: 00 of the peak time of power consumption of the system, and the initial SOC value of the cluster follows uniform distribution on [0.2,1 ].
TABLE 1 energy storage device parameters
Figure GDA0003542417660000171
The boundary capable of increasing and reducing the response power of the distributed energy storage system in the time window of 10: 00-14: 00 is shown in fig. 8 and 9, as shown in fig. 8 and 9, the actual response capability of the cluster is smaller than the theoretical value, which shows that under the actual working condition, the response capability of the energy storage device is changed due to the influence of the attenuation characteristic of the battery and the seasonal temperature, and the energy storage device cannot be evaluated according to the rated powerThe actual response capability of the energy storage device is estimated, and the actual response capability of the distributed energy storage system can be more accurately estimated by using the data-driven-based energy storage device personalized modeling and cluster aggregation response capability estimation method provided by the invention. In addition, when a system scheduling instruction is responded, the degradation cost C of the energy storage device is comprehensively consideredeThe index and SOC index sorting method for the energy storage device response queues of the distributed energy storage system can dynamically update the aggregation response capability of the distributed energy storage system.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
at present, influence of environmental factors such as self attenuation characteristics of batteries, seasonal temperature and the like is not considered in evaluation of single response capability of an energy storage device, and therefore inaccurate response capability evaluation results can be caused. In addition, the evaluation of the response capability of the distributed energy storage system usually only pays attention to the evaluation of the response capability in a certain period, and the influence of the state change of the distributed energy storage system after the response system is scheduled on the evaluation of the response capability in the next period is ignored. Therefore, the method is based on a data-driven method, individualized modeling is carried out on response capability evaluation of a single energy storage device considering the attenuation characteristics of the energy storage device and the influence of environmental factors, an aggregation response capability evaluation model of the distributed energy storage system under different time windows is established, a dynamic updating method of the aggregation response capability of the distributed energy storage system is provided, and a response capability evaluation method is provided for the distributed energy storage system to participate in the auxiliary service market of the power system.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, it should be understood that no limitation of the invention is thereby intended within the scope of this specification.

Claims (6)

1. A method for determining the aggregation response capability of a distributed energy storage system is characterized by comprising the following steps:
determining the maximum charge-discharge power which can be provided by each energy storage device in any time period according to historical charge-discharge curves of each energy storage device in the distributed energy storage system under different SOC;
calculating the maximum variable power of each energy storage device in any period according to the maximum charge-discharge power which can be provided by each energy storage device in any period and the maximum capacity and the minimum capacity of each energy storage device in the period, and taking the maximum variable power as the response capacity value of each energy storage device; the maximum variable power includes a maximum increasable power and a maximum cutable power;
the calculating the maximum variable power of each energy storage device in the period according to the maximum charge-discharge power which can be provided by each energy storage device in any period and the maximum capacity and the minimum capacity of each energy storage device in the period as the response capacity value of each energy storage device specifically comprises:
determining the variable range of the power and the electric quantity of each energy storage device in the time period by combining the self-operation constraint of the energy storage device according to the actual maximum charge-discharge power which can be provided by each energy storage device in the time period and using the following formula;
P(t)＝mc(t)Pcηc-md(t)Pd/ηd；
mc(t)+md(t)≤1；
Figure FDA0003639991600000011
Figure FDA0003639991600000012
Figure FDA0003639991600000013
Figure FDA0003639991600000014
Emin≤E(t)≤Emax；
Eup(t)＝min(E(t),Emax)；
Edn(t)＝max(E(t),Emin)；
wherein p (t) represents the power value of the energy storage means at time t within said time period; p iscActual charging power; pdIs the actual discharge power; etacAnd ηdRespectively charging efficiency and discharging efficiency of the energy storage device; m is a unit ofc(t) is a state of charge variable of an integer from 0 to 1, mc(t) ═ 1 denotes that the energy storage device is in a charged state, mc(t) ═ 0 means that the energy storage device is in a non-charging state; m isd(t) is an integer variable of 0-1 in the discharge state, md(t) ═ 1 denotes that the energy storage device is in the discharge state, md(t) ═ 0 indicates that the energy storage device is in a non-discharging state;
Figure FDA0003639991600000021
and
Figure FDA0003639991600000022
respectively representing the maximum charging power and the maximum discharging power which can be provided by the energy storage device; s (t) represents the SOC value of the energy storage device at time t; s. thesThe initial SOC value of the energy storage device is obtained; t is tsIs the initial time of the response period; e (t) is the electric quantity of the energy storage device at the moment t; b iseIs the rated capacity of the energy storage device; esThe initial electric quantity of the energy storage device; emaxAnd EminRespectively representing the maximum capacity and the minimum capacity of the energy storage device; eup(t) and Edn(t) respectively represent stored energyThe upper and lower electric quantity boundaries of the device at time t;
calculating the average power value of each energy storage device in the time period according to the power of each energy storage device in the time period;
determining the electric quantity value of each energy storage device after the time period according to the average power value of each energy storage device in the time period;
the determining, according to the average power value of each energy storage device in the time period, the power value of each energy storage device after the time period specifically includes:
according to the average power value of each energy storage device in the time period, a formula is utilized
Figure FDA0003639991600000023
Determining an electrical quantity value for each energy storage device after the time period; wherein E (k) represents the electric quantity value of the energy storage device after time period k, p (j) represents the average power value of the energy storage device in time period j, v (j) represents the on-line state of the energy storage device in time period j, v (j) 1 represents on-line, v (j) 0 represents off-line, E (j) represents off-linesRepresenting an initial charge of the energy storage device, Δ t representing a time interval of the time period;
calculating the maximum variable power of each energy storage device in the time period according to the average power value and the electric quantity variable range of each energy storage device in the time period;
and calculating the sum of the maximum variable power of each energy storage device in each time period in the time window as the maximum aggregation response capacity value of the distributed energy storage system of the time period.
2. The method for determining the aggregation response capability of the distributed energy storage system according to claim 1, wherein the determining, according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOCs, the maximum charging and discharging power that can be provided by each energy storage device in any period specifically includes:
respectively according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOCBy the formula
Figure FDA0003639991600000024
Calculating a charge-discharge current curve of each energy storage device in the time period; wherein n represents the historical charging and discharging response times of the energy storage device,
Figure FDA0003639991600000031
Figure FDA0003639991600000032
and
Figure FDA0003639991600000033
respectively representing the response current values of the nth time, the nth-1 time, the nth-2 time, the 2 nd time and the 1 st time of historical charging and discharging corresponding to the time t in the time period; i.e. i(t)A charge/discharge current value indicating a time t within the period;
according to the charging and discharging current curve of each energy storage device in the time period, a formula is utilized
Figure FDA0003639991600000034
Determining a maximum charge and discharge power curve which can be provided by each energy storage device in the time period; wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003639991600000035
the maximum charge and discharge power that the energy storage device can provide is represented, and U represents the voltage of the energy storage device.
3. The method for determining the aggregate responsiveness of the distributed energy storage system according to claim 1, wherein the calculating the maximum variable power of each energy storage device during the time period according to the average power value and the variable electric quantity range of each energy storage device during the time period specifically comprises:
calculating the maximum variable power of each energy storage device in the time period according to the average power value of each energy storage device in the time period and the electric quantity value of each energy storage device after the time period by using the following formula:
Figure FDA0003639991600000036
Figure FDA0003639991600000037
wherein, P+(k) And P-(k) Respectively representing the maximum increasable power and the maximum decreasable power of the energy storage device in the time period k, v (k) representing the state whether the energy storage device is on-line in the time period k,
Figure FDA0003639991600000038
and
Figure FDA0003639991600000039
respectively representing the maximum charging power and the maximum discharging power that can be provided by the energy storage means, p (k) representing the average operating power value of the energy storage means during time period k, Eup(k) And Edn(k) Respectively representing the upper and lower bounds of the energy storage device's electrical quantity during time period k, E (k-1) representing the energy storage device's electrical quantity value after time period k-1, and deltat representing the time interval of the time period.
4. An aggregated response capability determination system for a distributed energy storage system, the determination system comprising:
the maximum power value calculation module is used for determining the maximum charging and discharging power which can be provided by each energy storage device in any time period according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOC;
the maximum variable power calculation module is used for calculating the maximum variable power of each energy storage device in any time period according to the maximum charge-discharge power which can be provided by each energy storage device in any time period and the maximum capacity and the minimum capacity of each energy storage device in the time period, and the maximum variable power is used as the response capacity value of each energy storage device; the maximum variable power comprises a maximum increasable power and a maximum cutable power;
the maximum variable power calculation module specifically includes:
the power constraint submodule is used for determining the variable range of the power and the electric quantity of each energy storage device in the time period according to the actual maximum charge-discharge power which can be provided by each energy storage device in the time period, by combining the self operation constraint of the energy storage device and utilizing the following formula;
P(t)＝mc(t)Pcηc-md(t)Pd/ηd；
mc(t)+md(t)≤1；
Figure FDA0003639991600000041
Figure FDA0003639991600000042
Figure FDA0003639991600000043
Figure FDA0003639991600000044
Emin≤E(t)≤Emax；
Eup(t)＝min(E(t),Emax)；
Edn(t)＝max(E(t),Emin)；
wherein p (t) represents the power value of the energy storage means at time t within said time period; pcActual charging power; p isdActual discharge power; etacAnd ηdSeparate energy storage deviceCharging efficiency and discharging efficiency of; m isc(t) is an integer variable of state of charge 0-1, mc(t) ═ 1 denotes that the energy storage device is in the charged state, mc(t) ═ 0 indicates that the energy storage device is in a non-charging state; m is a unit ofd(t) is an integer variable of 0-1 in the discharge state, md(t) ═ 1 denotes that the energy storage device is in the discharge state, md(t) ═ 0 indicates that the energy storage device is in a non-discharging state;
Figure FDA0003639991600000045
and
Figure FDA0003639991600000046
respectively representing the maximum charging power and the maximum discharging power which can be provided by the energy storage device; s (t) represents the SOC value of the energy storage device at time t; s. thesSetting an initial SOC value of the energy storage device; t is tsIs the initial time of the response period; e (t) is the electric quantity of the energy storage device at the time t; beIs the rated capacity of the energy storage device; esThe initial electric quantity of the energy storage device; emaxAnd EminRespectively representing the maximum capacity and the minimum capacity of the energy storage device; eup(t) and Edn(t) respectively representing an upper electric quantity boundary and a lower electric quantity boundary of the energy storage device at the moment t;
the average power value calculation submodule is used for calculating the average power value of each energy storage device in the time period according to the power of each energy storage device in the time period;
the electric quantity value calculation submodule is used for determining the electric quantity value of each energy storage device after the time interval according to the average power value of each energy storage device in the time interval;
the electric quantity value calculation submodule specifically includes:
an electric quantity value calculation unit for utilizing a formula according to an average power value of each energy storage device in the time period
Figure FDA0003639991600000051
Determining an electrical quantity value of each energy storage device after the period of time; wherein E (k) represents the energy storage device after a period kThe average power value of the energy storage device in the time interval j is represented by P (j), the state of whether the energy storage device is on-line in the time interval j is represented by v (j), the state of whether the energy storage device is on-line is represented by v (j) 1, the state of whether the energy storage device is off-line is represented by v (j), and the average power value of the energy storage device in the time interval j is represented by E (j), E (j) 0sRepresents the initial charge of the energy storage device, Δ t represents the time interval of the time period;
the maximum variable power calculation sub-module is used for calculating the maximum variable power of each energy storage device in the time period according to the average power value and the electric quantity variable range of each energy storage device in the time period;
and the maximum aggregation response capacity calculation module is used for calculating the sum of the maximum variable power of each energy storage device in each time period in the time window as the maximum aggregation response capacity value of the distributed energy storage system of the time period.
5. The system for determining the aggregate response capability of the distributed energy storage system according to claim 4, wherein the maximum power value calculation module specifically includes:
a charging and discharging current curve determining submodule for respectively utilizing a formula according to historical charging and discharging curves of each energy storage device in the distributed energy storage system under different SOC
Figure FDA0003639991600000052
Calculating a charge-discharge current curve of each energy storage device in the time period; wherein n represents the historical charging and discharging response times of the energy storage device,
Figure FDA0003639991600000053
and
Figure FDA0003639991600000054
respectively representing the response current values of the nth, the (n-1) th, the (n-2) th, the (2) th and the (1) th historical charging and discharging corresponding to the time t in the time period; i.e. i(t)A charge/discharge current value indicating a time t within the period;
actual maximum charge-discharge power calculation submodule, provided for by the energy storage device, for calculating the maximum charge-discharge powerAccording to the charging and discharging current curve of each energy storage device in the time period, a formula is utilized
Figure FDA0003639991600000055
Determining a maximum charge-discharge power curve which can be provided by each energy storage device in the time period; wherein the content of the first and second substances,
Figure FDA0003639991600000056
the maximum charge and discharge power that the energy storage device can provide is represented, and U represents the voltage of the energy storage device.
6. The system for determining the aggregate responsiveness of a distributed energy storage system according to claim 4, wherein the maximum variable power calculation sub-module specifically comprises:
a maximum variable power calculating unit, configured to calculate a maximum variable power of each energy storage device in the time period according to the average power value of each energy storage device in the time period and the electric quantity value of each energy storage device after the time period by using the following formula:
Figure FDA0003639991600000061
Figure FDA0003639991600000062
wherein, P+(k) And P-(k) Respectively representing the maximum increasable power and the maximum reducible power of the energy storage device in a time period k, v (k) representing the state whether the energy storage device is on line in the time period k, Pc maxAnd
Figure FDA0003639991600000063
respectively representing the maximum charging power and the maximum discharging power which can be provided by the energy storage device, P (k) representing the average running power value of the energy storage device in a time period k, Eup(k) And Edn(k) Respectively representing the upper and lower bounds of the energy storage device's electrical quantity during time period k, E (k-1) representing the energy storage device's electrical quantity value after time period k-1, and deltat representing the time interval of the time period.
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