CN114019382B - Method and system for determining service life attenuation of lithium ion battery energy storage power station - Google Patents
Method and system for determining service life attenuation of lithium ion battery energy storage power station Download PDFInfo
- Publication number
- CN114019382B CN114019382B CN202111274187.0A CN202111274187A CN114019382B CN 114019382 B CN114019382 B CN 114019382B CN 202111274187 A CN202111274187 A CN 202111274187A CN 114019382 B CN114019382 B CN 114019382B
- Authority
- CN
- China
- Prior art keywords
- year
- energy storage
- power station
- storage power
- annual
- 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.)
- Active
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 164
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 title claims abstract description 40
- 229910001416 lithium ion Inorganic materials 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000004364 calculation method Methods 0.000 claims abstract description 59
- 230000005611 electricity Effects 0.000 claims description 10
- 239000002699 waste material Substances 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 7
- 230000008901 benefit Effects 0.000 description 5
- 238000012983 electrochemical energy storage Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007599 discharging Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000002238 attenuated effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000000053 physical method Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
-
- 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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to a method and a system for determining service life attenuation of a lithium ion battery energy storage power station, wherein the method comprises the following steps: acquiring an annual power discarding curve of year I from year to year between a planning target year of a planned power grid and an initial year and a required calculation year I; obtaining planning basic parameters of a lithium ion battery energy storage power station; calculating the effective capacity of the energy storage power station in the initial year; determining the waste electric quantity of the ith year; calculating the annual equivalent cycle times of the ith year of the energy storage power station; calculating the annual effective capacity of the energy storage power station in the ith year; calculating the annual average capacity attenuation rate of the energy storage power station in the ith year; if I is less than or equal to the required calculation year I, i=i+1, repeating the steps S5-S6, otherwise, calculating to obtain the year effective capacity W of the required calculation year I I Annual average capacity decay rate c I Percent of the total weight of the composition. The method can realize scientifically and efficiently solving the influence of the service life of the lithium ion battery power station on the power grid planning scheme.
Description
Technical Field
The invention relates to the field of service life attenuation of battery energy storage power stations, in particular to a service life attenuation determining method and system of a lithium ion battery energy storage power station.
Background
Along with the increasing severity of environmental problems such as shortage of fossil energy supply, greenhouse effect and the like, the realization of renewable energy transformation is a necessary trend of China and even global energy development. With the continuous increase of the grid-connected scale of the high-proportion new energy base, the intermittent, random and low-density characteristics of the new energy output and the large-scale centralized grid-connected mode bring the problems of changeable power flow, difficult system peak regulation and frequency modulation, low new energy utilization efficiency and the like to the power grid, the operation of the power system faces serious challenges, and the utilization efficiency of the new energy has a lifting space. The energy storage technology is a key technology for constructing a new generation power system, and the application of the multi-element energy storage technology in a high-proportion new energy system can provide various supporting functions such as smooth new energy output, tracking power generation plans, auxiliary system frequency modulation, capacity reserve and the like for the system, so that a series of problems caused by high-proportion new energy grid connection can be effectively relieved.
In general, energy storage can be divided into five categories, electrochemical energy storage, physical energy storage, phase change energy storage, electromagnetic energy storage, and chemical energy storage. Currently, in addition to pumped storage technology, electrochemical energy storage technology has the most cost advantage and technical potential for large-scale application in electric power systems. The lead-carbon battery has the advantages of mature technology, low manufacturing cost, low energy conversion efficiency, short cycle life, low energy density and the like, and is more applied to the scenes such as user side demand side response at present; the flow battery has the advantages of long cycle life, high safety and good charge and discharge performance, but has low energy density and higher cost, and is suitable for peak shaving of a power grid and large-scale renewable energy grid connection. The lithium ion battery has the advantages of high-rate charge and discharge capability, high specific power, high specific energy and the like, but has high requirement on battery consistency and thermal runaway phenomenon, and can be widely applied to various scenes of power generation sides, power grid sides and user sides. Lithium ion batteries are currently the most widely used and cost-effective electrochemical cells in the power industry compared to other electrochemical energy storage technologies.
At present, life attenuation models of lithium ion battery energy storage power stations are mainly divided into two types: the method is a physical method based on a microscopic electrochemical cell physical reflection equation, can effectively reflect the attenuation influence of the temperature of a small time scale on the service life of the lithium ion battery, and is not suitable for the problem of power grid planning of a large time scale; the other type is a big data method based on big data driving, which can effectively reflect the attenuation influence of different temperatures on the service life of the lithium ion battery, but the current electrochemical lithium ion power station has a small quantity and short running time, lacks enough data accumulation, and cannot acquire a representative data set which can be suitable for power grid planning.
Disclosure of Invention
The invention aims to provide a method and a system for determining service life attenuation of a lithium ion battery energy storage power station, which can realize scientifically and efficiently solving the influence of the service life of the lithium ion battery power station on a power grid planning scheme.
In order to achieve the above object, the present invention provides the following solutions:
a method for determining life decay of a lithium ion battery energy storage power station, the method comprising:
s1: acquiring an annual power discarding curve of year I from year to year between a planning target year of a planned power grid and an initial year and a required calculation year I;
s2: obtaining planning basic parameters of a lithium ion battery energy storage power station; the basic parameters include: rated power P 0 The installed capacity W, the upper limit value a% of the depth of discharge DOD%,The DOD% lower limit value b% and the cycle life times N of the energy storage power station;
s3: calculating the effective capacity of the energy storage power station in the initial year according to the installed capacity and the upper limit value a% and the lower limit value b% of the DOD%;
s4: determining the electric quantity discarded in the ith year according to the electric quantity discarded curve;
s5: calculating the annual equivalent cycle times of the energy storage power station in the ith year according to the electricity rejection amount in the ith year, the upper limit value a% of the DOD% of the discharge depth and the lower limit value b% of the DOD% of the discharge depth;
s6: calculating the annual effective capacity of the energy storage power station in the ith year according to the annual equivalent cycle times of the energy storage power station in the ith year;
s7: calculating the annual average capacity attenuation rate of the energy storage power station in the ith year according to the annual effective capacity of the energy storage power station in the ith year;
s8: if I is less than or equal to the required calculation year I, i=i+1, repeating the steps S5-S6, otherwise, calculating to obtain the year effective capacity W of the required calculation year I I Annual average capacity decay rate c I ％；
The annual effective capacity of the energy storage power station is used for planning and operation calculation of a subsequent power grid, and the annual average capacity attenuation rate is used for determining service life attenuation performance of the power station.
Optionally, the effective capacity of the energy storage power station for the initial year is calculated according to the installed capacity and the upper limit value a% and the lower limit value b% of the depth of discharge DOD% specifically adopts the following formula:
W 0 ＝W*(a％-b％)
wherein W is 0 The effective capacity of the energy storage plant for the initial year is represented by W representing the installed capacity, a% representing the upper limit value of the depth of discharge DOD% and b% representing the lower limit value of the depth of discharge DOD%.
Optionally, calculating the annual equivalent cycle number of the ith year of the energy storage power station according to the electricity rejection amount of the ith year and the upper limit value a% and the lower limit value b% of the depth of discharge DOD%, wherein the annual equivalent cycle number of the ith year of the energy storage power station specifically adopts the following formula:
n i ＝Q i /(W(i-1)*(a％-b％))
wherein the method comprises the steps of，n i Represents the annual equivalent cycle number of the ith year of the energy storage power station, W (i-1) Representing the effective capacity, Q, of an energy storage plant of year i-1 i The i-th discharge amount is represented by a%, a% represents the upper limit value of the depth of discharge DOD%, and b% represents the lower limit value of the depth of discharge DOD%.
Optionally, calculating the annual effective capacity of the energy storage power station in the ith year according to the annual equivalent cycle times of the energy storage power station in the ith year specifically adopts the following formula:
W i ＝W (i-1) *n i /N
wherein W is i Represents the annual effective capacity of the energy storage power station in the ith year, W (i-1) Representing the effective capacity of the energy storage power station in the i-1 th year, n i The annual equivalent cycle number of the ith year of the energy storage power station is represented, and N represents the cycle life number of the energy storage power station.
Optionally, calculating the annual average capacity attenuation rate of the energy storage power station in the ith year according to the annual effective capacity of the energy storage power station in the ith year specifically adopts the following formula:
c i ％＝(W i -W (i-1) )/W i
wherein c i % represents the annual average capacity attenuation rate of the ith year of the energy storage power station, W (i-1) Representing the effective capacity of the energy storage power station in the i-1 th year, W i Representing the annual active capacity of the energy storage power station in the ith year.
Based on the method in the invention, the invention also provides a service life attenuation determining system of the lithium ion battery energy storage power station, which comprises the following steps:
the annual power-saving curve acquisition module is used for acquiring an annual power-saving curve of year I from year I between the planning target year of the planned power grid and the initial year of the planned power grid and the required calculation year I;
the parameter acquisition module is used for acquiring planning basic parameters of the lithium ion battery energy storage power station; the basic parameters include: rated power P 0 The method comprises the following steps of (1) setting capacity W, upper limit value a% of depth of discharge DOD%, lower limit value b% of depth of discharge DOD% and cycle life number N of an energy storage power station;
the effective capacity calculation module of the energy storage power station in the initial year is used for calculating the effective capacity of the energy storage power station in the initial year according to the installed capacity and the upper limit value a% and the lower limit value b% of the DOD%;
the power discarding quantity calculation module in the ith year is used for determining the power discarding quantity in the ith year according to the power discarding curve;
the annual equivalent cycle number calculation module of the energy storage power station in the ith year is used for calculating the annual equivalent cycle number of the energy storage power station in the ith year according to the electricity rejection amount of the ith year, the upper limit value a% of the DOD% of the depth of discharge and the lower limit value b% of the DOD% of the depth of discharge;
the annual effective capacity calculation module of the ith year is used for calculating the annual effective capacity of the ith year of the energy storage power station according to the annual equivalent cycle times of the ith year of the energy storage power station;
the annual average capacity attenuation rate calculation module is used for calculating the annual average capacity attenuation rate of the energy storage power station in the ith year according to the annual effective capacity of the energy storage power station in the ith year;
the circulation module is used for repeating the annual effective capacity calculation module and the annual average capacity attenuation rate calculation module in the ith year when I is smaller than or equal to the required calculation year I, i=i+1, otherwise, calculating to obtain the annual effective capacity W of the required calculation year I I Annual average capacity decay rate c I ％；
The annual effective capacity of the energy storage power station is used for planning and operation calculation of a subsequent power grid, and the annual average capacity attenuation rate is used for determining service life attenuation performance of the power station.
Optionally, the effective capacity calculation module of the energy storage power station of the initial year specifically adopts the following formula:
W 0 ＝W*(a％-b％)
wherein W is 0 The effective capacity of the energy storage plant for the initial year is indicated, a% indicating the upper limit value of the depth of discharge DOD% and b% indicating the lower limit value of the depth of discharge DOD%.
Optionally, the annual equivalent cycle number calculation module of the ith year of the energy storage power station specifically adopts the following formula:
n i ＝Q i /(W(i-1)*(a％-b％))
wherein n is i Representing stored energyAnnual equivalent cycle number of power station in the ith year, W (i-1) Representing the effective capacity, Q, of an energy storage plant of year i-1 i The i-th discharge amount is represented by a%, a% represents the upper limit value of the depth of discharge DOD%, and b% represents the lower limit value of the depth of discharge DOD%.
Optionally, the annual effective capacity calculation module in the ith year specifically adopts the following formula:
W i ＝W (i-1) *n i /N
wherein W is i Representing the annual effective capacity of the energy storage power station in the ith year, W # i-1 ) Representing the effective capacity of the energy storage power station in the i-1 th year, n i The annual equivalent cycle number of the ith year of the energy storage power station is represented, and N represents the cycle life number of the energy storage power station.
Optionally, the circulation module is configured to perform the following steps:
when I is smaller than or equal to the required calculation year I, i=i+1, repeating the year effective capacity calculation module and the year average capacity attenuation rate calculation module in the I year, otherwise, calculating to obtain the year effective capacity W of the required calculation year I I Annual average capacity decay rate c I ％；
The annual effective capacity of the energy storage power station is used for planning and operation calculation of a subsequent power grid, and the annual average capacity attenuation rate is used for determining service life attenuation performance of the power station.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides the estimation method for the annual effective capacity of the lithium ion battery energy storage power station in the power grid planning peak shaving scene, solves the problem that the capacity attenuation of the energy storage power station cannot be accurately considered in the existing power grid planning method, and can effectively reduce the requirement on planning annual data and the complexity of a calculation model thereof.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for determining the service life attenuation of a lithium ion battery energy storage power station;
fig. 2 is a schematic diagram of a life decay determining system of a lithium ion battery energy storage power station provided by the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a method and a system for determining service life attenuation of a lithium ion battery energy storage power station, which can realize scientifically and efficiently solving the influence of the service life of the lithium ion battery power station on a power grid planning scheme.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Fig. 1 is a flowchart of a method for determining life decay of a lithium ion battery energy storage power station according to an embodiment of the present invention, as shown in fig. 1, the method includes:
s1: and acquiring an annual power-discarding curve of year I from year to year between the planning target year of the planned power grid and the initial year and the required calculation year I.
The assumption and the background of the invention are to solve the problem of power discarding in power grid planning by configuring the lithium ion battery energy storage power station, and the annual power discarding curve of each year is the maximum annual electric quantity which can be stored by the lithium ion battery energy storage power station in the year. The energy storage power station absorbs the partial electric quantity when the electric network has the electricity discarding, and discharges the electric energy when the electric network does not have the electricity discarding, so that the purpose that the electricity discarding of the whole electric network is close to 0 is achieved.
S2: obtaining planning basic parameters of a lithium ion battery energy storage power station; the basic parameters include: rated power P 0 The installed capacity W, the upper limit value a% of the depth of discharge DOD%, the lower limit value b% of the depth of discharge DOD% and the number of times of cycle life N of the energy storage power station.
The basic parameters are determined at the initial time as described above, but as the battery is charged and discharged, the energy storage power station can decay in service life, so that the effective capacity and the upper and lower limits of the discharge depth can change. Assuming that the initial energy storage power station capacity is 10MWh, the upper limit percentage of charging is 95%, and the lower limit is 5%, the effective capacity in the initial year is 9MWh, but with the annual charging and discharging, the upper limit may become 90% and the lower limit becomes 10% after one year, and the effective capacity at the moment can only be attenuated to 8MWh.
S3: and calculating the effective capacity of the energy storage power station in the initial year according to the installed capacity and the upper limit value a% and the lower limit value b% of the depth of discharge DOD%.
The following formula is adopted:
W 0 ＝W*(a％-b％)
wherein W is 0 The effective capacity of the energy storage plant for the initial year is represented by W representing the installed capacity, a% representing the upper limit value of the depth of discharge DOD% and b% representing the lower limit value of the depth of discharge DOD%.
For example, the initial energy storage capacity is 10MWh, but these capacities cannot fully absorb the waste energy, and are limited by the upper and lower limits of the depth of discharge, so that only the waste energy of 9MWh can be absorbed according to the above example. The upper limit value and the lower limit value of the discharging depth of the battery can be changed along with the times of charge and discharge cycles in the subsequent steps, the effective capacity can be reduced, and the electric quantity which can be absorbed by the battery in a complete cycle can be reduced.
S4: and determining the power discarding quantity in the ith year according to the power discarding curve.
S5: and calculating the annual equivalent cycle times of the energy storage power station in the ith year according to the electricity rejection amount in the ith year, the upper limit value a% of the DOD% of the discharge depth and the lower limit value b% of the DOD% of the discharge depth.
The following formula is adopted:
n i ＝Q i /(W(i-1)*(a％-b％))
wherein n is i Represents the annual equivalent cycle times of the ith year of the energy storage power station, W # i-1 ) Representing the effective capacity, Q, of an energy storage plant of year i-1 i The i-th discharge amount is represented by a%, a% represents the upper limit value of the depth of discharge DOD%, and b% represents the lower limit value of the depth of discharge DOD%.
S6: and calculating the annual effective capacity of the energy storage power station in the ith year according to the annual equivalent cycle times of the energy storage power station in the ith year.
The following formula is adopted:
W i ＝W (i-1) *n i /N
wherein W is i Represents the annual effective capacity of the energy storage power station in the ith year, W (i-1) Representing the effective capacity of the energy storage power station in the i-1 th year, n i The annual equivalent cycle number of the ith year of the energy storage power station is represented, and N represents the cycle life number of the energy storage power station.
S7: and calculating the annual average capacity attenuation rate of the energy storage power station in the ith year according to the annual effective capacity of the energy storage power station in the ith year.
The following formula is adopted:
c i ％＝(W i -W (i-1) )/W i
wherein c i % represents the annual average capacity attenuation rate of the ith year of the energy storage power station, W (i-1) Representing the effective capacity of the energy storage power station in the i-1 th year, W i Representing the annual active capacity of the energy storage power station in the ith year.
S8: if I is less than or equal to the required calculation year I, i=i+1, repeating the steps S5-S6, otherwise, calculating to obtain the year effective capacity W of the required calculation year I I Annual average capacity decay rate c I ％；
The annual effective capacity of the energy storage power station is used for planning and operation calculation of a subsequent power grid, and the annual average capacity attenuation rate is used for determining service life attenuation performance of the power station.
Fig. 2 is a schematic structural diagram of a life decay determining system of a lithium ion battery energy storage power station provided by the present invention, as shown in fig. 2, the system includes:
the annual power-saving curve acquisition module 201 is configured to acquire an annual power-saving curve of year I from year I between a planned target year and an initial year of the planned power grid and a required calculation year I;
the parameter acquisition module 202 is configured to acquire planning basic parameters of the lithium ion battery energy storage power station; the basic parameters include: rated power P 0 The method comprises the following steps of (1) setting capacity W, upper limit value a% of depth of discharge DOD%, lower limit value b% of depth of discharge DOD% and cycle life number N of an energy storage power station;
an effective capacity calculation module 203 of the energy storage power station in the beginning year, configured to calculate an effective capacity of the energy storage power station in the beginning year according to the installed capacity and the upper limit value a% and the lower limit value b% of the depth of discharge DOD%;
the power rejection calculation module 204 of the ith year is configured to determine the power rejection of the ith year according to the power rejection curve;
the annual equivalent cycle number calculation module 205 of the energy storage power station in the ith year is used for calculating the annual equivalent cycle number of the energy storage power station in the ith year according to the electricity rejection amount of the ith year, the upper limit value a% of the DOD% of the depth of discharge and the lower limit value b% of the DOD% of the depth of discharge;
an annual effective capacity calculation module 206 of the ith year for calculating an annual effective capacity of the energy storage power station of the ith year according to the annual equivalent cycle number of the energy storage power station of the ith year;
an annual average capacity attenuation rate calculation module 207, configured to calculate an annual average capacity attenuation rate of the energy storage power station in the ith year according to the annual effective capacity of the energy storage power station in the ith year;
a circulation module 208, configured to repeat the annual effective capacity calculation module and the annual average capacity attenuation rate calculation module in the ith year when I is less than or equal to the required calculation year I, i=i+1, and otherwise calculate the annual effective capacity W of the required calculation year I I Annual average capacity decay rate c I ％；
The annual effective capacity of the energy storage power station is used for planning and operation calculation of a subsequent power grid, and the annual average capacity attenuation rate is used for determining service life attenuation performance of the power station.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (9)
1. A method for determining life decay of a lithium ion battery energy storage power station, the method comprising:
s1: acquiring an annual power discarding curve of year I from year to year between a planning target year of a planned power grid and an initial year and a required calculation year I;
s2: obtaining planning basic parameters of a lithium ion battery energy storage power station; the basic parameters include: rated power P 0 The method comprises the following steps of (1) setting capacity W, upper limit value a% of depth of discharge DOD%, lower limit value b% of depth of discharge DOD% and cycle life number N of an energy storage power station;
s3: calculating the effective capacity of the energy storage power station in the initial year according to the installed capacity and the upper limit value a% and the lower limit value b% of the DOD%;
s4: determining the electric quantity discarded in the ith year according to the electric quantity discarded curve;
s5: calculating the annual equivalent cycle times of the energy storage power station in the ith year according to the electricity rejection amount in the ith year, the upper limit value a% of the DOD% of the discharge depth and the lower limit value b% of the DOD% of the discharge depth;
s6: calculating the annual effective capacity of the energy storage power station in the ith year according to the annual equivalent cycle times of the energy storage power station in the ith year;
s7: calculating the annual average capacity attenuation rate of the energy storage power station in the ith year according to the annual effective capacity of the energy storage power station in the ith year;
s8: if I is less than or equal to the required calculated year I, i=i+1, repeating steps S5-S6, otherwise, calculating to obtain the annual effective capacity W of the required calculated year I I Annual average capacity decay rate c I ％；
The annual effective capacity of the energy storage power station is used for planning and operation calculation of a subsequent power grid, and the annual average capacity attenuation rate is used for determining service life attenuation performance of the power station.
2. The method for determining the life decay of the lithium ion battery energy storage power station according to claim 1, wherein the calculating the effective capacity of the energy storage power station of the initial year according to the installed capacity and the upper limit value a% and the lower limit value b% of the depth of discharge dod% specifically adopts the following formula:
W 0 ＝W*(a％-b％)
wherein W is 0 The effective capacity of the energy storage plant for the initial year is represented by W representing the installed capacity, a% representing the upper limit value of the depth of discharge DOD% and b% representing the lower limit value of the depth of discharge DOD%.
3. The method for determining life decay of a lithium ion battery energy storage power station according to claim 1, wherein the annual equivalent cycle number of the i-th year of the energy storage power station is calculated according to the i-th year of the electric quantity discarded and the upper limit value a% and the lower limit value b% of the depth of discharge dod%, and specifically adopts the following formula:
n i ＝Q i /(W (i-1) *(a％-b％))
wherein n is i Represents the annual equivalent cycle number of the ith year of the energy storage power station, W (i-1) Representing the effective capacity, Q, of an energy storage plant of year i-1 i The i-th discharge amount is represented by a%, a% represents the upper limit value of the depth of discharge DOD%, and b% represents the lower limit value of the depth of discharge DOD%.
4. The method for determining life decay of a lithium ion battery energy storage power station according to claim 1, wherein the calculating the annual effective capacity of the energy storage power station in the ith year according to the annual equivalent cycle number of the energy storage power station in the ith year specifically adopts the following formula:
W i ＝W (i-1) *n i /N
wherein W is i Represents the annual effective capacity of the energy storage power station in the ith year, W (i-1) Representing the effective capacity of the energy storage power station in the i-1 th year, n i The annual equivalent cycle number of the ith year of the energy storage power station is represented, and N represents the cycle life number of the energy storage power station.
5. The method for determining life attenuation of a lithium ion battery energy storage power station according to claim 1, wherein the calculation of the annual average capacity attenuation rate of the energy storage power station in the ith year according to the annual effective capacity of the energy storage power station in the ith year specifically adopts the following formula:
c i ％＝(W i -W (i-1) )/W i
wherein c i % represents the annual average capacity attenuation rate of the ith year of the energy storage power station, W (i-1) Representing the effective capacity of the energy storage power station in the i-1 th year, W i Representing the annual active capacity of the energy storage power station in the ith year.
6. A lithium ion battery energy storage power station life decay determination system, the system comprising:
the annual power-saving curve acquisition module is used for acquiring an annual power-saving curve of year I from year I between the planning target year of the planned power grid and the initial year of the planned power grid and the required calculation year I;
the parameter acquisition module is used for acquiring planning basic parameters of the lithium ion battery energy storage power station; the basic parameters include: rated power P 0 The method comprises the following steps of (1) setting capacity W, upper limit value a% of depth of discharge DOD%, lower limit value b% of depth of discharge DOD% and cycle life number N of an energy storage power station;
the effective capacity calculation module of the energy storage power station in the initial year is used for calculating the effective capacity of the energy storage power station in the initial year according to the installed capacity and the upper limit value a% and the lower limit value b% of the DOD%;
the power discarding quantity calculation module in the ith year is used for determining the power discarding quantity in the ith year according to the power discarding curve;
the annual equivalent cycle number calculation module of the energy storage power station in the ith year is used for calculating the annual equivalent cycle number of the energy storage power station in the ith year according to the electricity rejection amount of the ith year, the upper limit value a% of the DOD% of the depth of discharge and the lower limit value b% of the DOD% of the depth of discharge;
the annual effective capacity calculation module of the ith year is used for calculating the annual effective capacity of the ith year of the energy storage power station according to the annual equivalent cycle times of the ith year of the energy storage power station;
the annual average capacity attenuation rate calculation module is used for calculating the annual average capacity attenuation rate of the energy storage power station in the ith year according to the annual effective capacity of the energy storage power station in the ith year;
the circulation module is used for repeating the annual effective capacity calculation module and the annual average capacity attenuation rate calculation module in the ith year when I is smaller than or equal to the required calculation year I, i=i+1, otherwise, calculating to obtain the annual effective capacity W of the required calculation year I I Annual average capacity decay rate c I ％；
The annual effective capacity of the energy storage power station is used for planning and operation calculation of a subsequent power grid, and the annual average capacity attenuation rate is used for determining service life attenuation performance of the power station.
7. The lithium ion battery energy storage power station life decay determination system of claim 6, wherein the effective capacity calculation module of the initial year energy storage power station specifically adopts the following formula:
W 0 ＝W*(a％-b％)
wherein W is 0 The effective capacity of the energy storage plant for the initial year is represented by W representing the installed capacity, a% representing the upper limit value of the depth of discharge DOD% and b% representing the lower limit value of the depth of discharge DOD%.
8. The life decay determination system of a lithium ion battery energy storage power station of claim 6, wherein the annual equivalent cycle number calculation module of the ith year of the energy storage power station specifically adopts the following formula:
n i ＝Q i /(W (i-1) *(b％-a％))
wherein n is i Represents the annual equivalent cycle number of the ith year of the energy storage power station, W (i-1) Representing the effective capacity, Q, of an energy storage plant of year i-1 i The i-th discharge amount is represented by a%, a% represents the upper limit value of the depth of discharge DOD%, and b% represents the lower limit value of the depth of discharge DOD%.
9. The lithium ion battery energy storage power station life decay determination system of claim 6, wherein the annual effective capacity calculation module of the i-th year specifically adopts the following formula:
W i ＝W (i-1) *n i /N
wherein W is i Represents the annual effective capacity of the energy storage power station in the ith year, W (i-1) Representing the effective capacity of the energy storage power station in the i-1 th year, n i The annual equivalent cycle number of the ith year of the energy storage power station is represented, and N represents the cycle life number of the energy storage power station.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111274187.0A CN114019382B (en) | 2021-10-29 | 2021-10-29 | Method and system for determining service life attenuation of lithium ion battery energy storage power station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111274187.0A CN114019382B (en) | 2021-10-29 | 2021-10-29 | Method and system for determining service life attenuation of lithium ion battery energy storage power station |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114019382A CN114019382A (en) | 2022-02-08 |
| CN114019382B true CN114019382B (en) | 2023-08-25 |
Family
ID=80059029
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111274187.0A Active CN114019382B (en) | 2021-10-29 | 2021-10-29 | Method and system for determining service life attenuation of lithium ion battery energy storage power station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114019382B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001257009A (en) * | 2000-03-13 | 2001-09-21 | Nissan Motor Co Ltd | Calculation method of battery characteristics of secondary battery and battery control device |
| CN102522601A (en) * | 2011-11-21 | 2012-06-27 | 杭州储蕴丰科技有限公司 | Vulcanization-induced failed lead-acid storage battery repair method |
| CN105425156A (en) * | 2015-11-06 | 2016-03-23 | 安徽江淮汽车股份有限公司 | Cycle life testing method for power battery |
| CN105738814A (en) * | 2014-12-12 | 2016-07-06 | 国家电网公司 | Method for evaluating capacity attenuation degree of lithium ion battery online |
| CN109378848A (en) * | 2018-12-27 | 2019-02-22 | 西安交通大学 | The Optimal Configuration Method of multiple types battery energy storage system |
| CN111639866A (en) * | 2020-06-03 | 2020-09-08 | 国网上海市电力公司 | Energy storage capacity configuration method of energy storage charging station based on genetic algorithm |
| CN112198434A (en) * | 2020-09-29 | 2021-01-08 | 蜂巢能源科技有限公司 | Method, system, device, apparatus and medium for identifying battery capacity fading model parameters |
| CN112731164A (en) * | 2020-12-21 | 2021-04-30 | 惠州亿纬锂能股份有限公司 | Battery life evaluation method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014081238A (en) * | 2012-10-15 | 2014-05-08 | Sony Corp | Battery deterioration and service life estimation method, battery deterioration and service life estimation device, electric vehicle and power supply device |
-
2021
- 2021-10-29 CN CN202111274187.0A patent/CN114019382B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001257009A (en) * | 2000-03-13 | 2001-09-21 | Nissan Motor Co Ltd | Calculation method of battery characteristics of secondary battery and battery control device |
| CN102522601A (en) * | 2011-11-21 | 2012-06-27 | 杭州储蕴丰科技有限公司 | Vulcanization-induced failed lead-acid storage battery repair method |
| CN105738814A (en) * | 2014-12-12 | 2016-07-06 | 国家电网公司 | Method for evaluating capacity attenuation degree of lithium ion battery online |
| CN105425156A (en) * | 2015-11-06 | 2016-03-23 | 安徽江淮汽车股份有限公司 | Cycle life testing method for power battery |
| CN109378848A (en) * | 2018-12-27 | 2019-02-22 | 西安交通大学 | The Optimal Configuration Method of multiple types battery energy storage system |
| CN111639866A (en) * | 2020-06-03 | 2020-09-08 | 国网上海市电力公司 | Energy storage capacity configuration method of energy storage charging station based on genetic algorithm |
| CN112198434A (en) * | 2020-09-29 | 2021-01-08 | 蜂巢能源科技有限公司 | Method, system, device, apparatus and medium for identifying battery capacity fading model parameters |
| CN112731164A (en) * | 2020-12-21 | 2021-04-30 | 惠州亿纬锂能股份有限公司 | Battery life evaluation method |
Non-Patent Citations (1)
| Title |
|---|
| How Depth of Discharge Affects the Cycle Life of Lithium-Metal-Polymer Batteries;T. Guena 等;《INTELEC 06 - Twenty-Eighth International Telecommunications Energy Conference》;第1-8页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114019382A (en) | 2022-02-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Uhrig et al. | Lithium-based vs. vanadium redox flow batteries–a comparison for home storage systems | |
| CN104362657B (en) | Wind-storage hybrid power station | |
| WO2017161787A1 (en) | Dynamic stabilizing method for photovoltaic power fluctuation based on future information | |
| CN109217290A (en) | Meter and the microgrid energy optimum management method of electric car charge and discharge | |
| CN103904749B (en) | A kind ofly consider the orderly charge control method of the electric automobile of wind power output fluctuation | |
| CN105226689A (en) | Consider polymorphic type energy-storage system energy management method and the system of operation and maintenance | |
| CN105552969A (en) | Power prediction-based distributed output power smoothing method and system for photovoltaic generation | |
| CN114123280B (en) | Battery energy storage power station energy management method considering system efficiency | |
| Chen et al. | Energy storage sizing for dispatchability of wind farm | |
| CN111762057B (en) | Intelligent charging and discharging management method for V2G electric vehicle in regional microgrid | |
| CN202651806U (en) | Smooth wind-power photovoltaic power generation control system of battery energy storage station | |
| CN114019382B (en) | Method and system for determining service life attenuation of lithium ion battery energy storage power station | |
| CN109245143B (en) | Energy storage peak regulation power station optimized operation method considering lithium ion battery service life | |
| CN115940284B (en) | Operation control strategy of new energy hydrogen production system considering time-of-use electricity price | |
| CN114094608B (en) | Photovoltaic power station-oriented multi-type energy storage capacity optimal configuration method and device | |
| CN114019399B (en) | Method and system for predicting maximum service life of lithium ion battery energy storage power station | |
| CN110932301B (en) | Method for improving wind power acceptance capacity based on participation of battery energy storage | |
| Zhou et al. | Research review on energy storage technology in power grid | |
| CN111244989B (en) | Coordinated operation method of wind power generating set and thermal power generating set based on battery energy storage | |
| Abbes et al. | Energy management and batteries lifespan estimation in a photovoltaïc system with hybrid storage a comparative study | |
| CN112736948A (en) | Power adjusting method and device for energy storage system in charging station | |
| Krupa et al. | Prospects for energy storage in the world and in Poland in the 2030 horizon | |
| CN113890071B (en) | Electrochemical energy storage capacity collaborative optimization configuration method considering pumping and storage power station | |
| CN117424263B (en) | Optimized operation method and system of flywheel-lithium ion battery hybrid energy storage system | |
| Bai et al. | Multi-scale modeling of the lithium battery energy storage system |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |