CN115395545A - Method for participating in power grid frequency modulation by lithium iron phosphate battery considering environment correction model parameters - Google Patents
Method for participating in power grid frequency modulation by lithium iron phosphate battery considering environment correction model parameters Download PDFInfo
- Publication number
- CN115395545A CN115395545A CN202211047485.0A CN202211047485A CN115395545A CN 115395545 A CN115395545 A CN 115395545A CN 202211047485 A CN202211047485 A CN 202211047485A CN 115395545 A CN115395545 A CN 115395545A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- storage battery
- soc
- battery
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
-
- 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
-
- 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
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention provides a method for participating in power grid frequency modulation by a lithium iron phosphate battery with environmental correction model parameters taken into consideration, which is applied to a power grid system taking the battery as energy storage and comprises the following steps: s101, establishing an energy storage battery SOC model considering the rated capacity and the charge and discharge efficiency of an energy storage battery; s102, establishing an energy storage battery running state model; s103, correcting the rated capacity and the charge-discharge efficiency of the energy storage battery by considering tropical island environmental factors; s104, correcting the SOC state of the energy storage battery by considering tropical island environmental factors; s105, the SOC state correction of the energy storage battery is considered to control the energy storage frequency of the power grid, the accuracy of the model parameters in the modeling process of the power system can be improved, and the SOC state correction of the energy storage battery is considered to control the energy storage frequency of the power grid on the basis, so that the frequency control accuracy and efficiency are improved, and the practical engineering application value is high.
Description
Technical Field
The invention relates to the technical field of power grid frequency control, in particular to a method for participating in power grid frequency modulation by a lithium iron phosphate battery by considering environment correction model parameters.
Background
The large-scale energy storage technology is a key technology for realizing popularization and application of renewable energy sources, and because the electric power generated by new energy sources such as wind power, photovoltaic and the like has volatility and poor adjustability, the energy balance of the power supply and demand side can be effectively adjusted by configuring an energy storage device, the intermittent and unstable properties of the renewable energy sources are overcome, the operating efficiency of power equipment is improved, the safe and reliable operation of the system is ensured, and the energy storage technology is a key supporting technology for an intelligent power grid and a new energy source system. A physical model of a lithium iron phosphate (LiFePO 4, LFP) battery plays an important role in the energy storage field such as a microgrid system containing renewable energy sources, an electric vehicle, and a communication base station due to its characteristics such as excellent charge and discharge performance, good safety, and cycle life. When a LiFePO4 energy storage system participates in power grid frequency control, the existing control method mainly adopts constant droop coefficient control. The constant droop control does not consider the SOC state of the battery, and the problem of overcharge and overdischarge of the battery is easy to occur. In addition, the regional range of China is extremely wide, the climates of different regions are different, and the battery electrical property can be obviously influenced, particularly the high-temperature, high-humidity and high-salt environments of tropical islands. The energy storage model in the operation control of the power system is always based on constant-scale data, and the generation of the control scheme is based on inaccurate simulation data and models, which all cause the control effect of the control strategy to be different from the real state of the actual power grid. The traditional mechanism model analysis and optimization control method is difficult to meet the requirements of novel power system monitoring analysis, operation optimization and stable control.
Disclosure of Invention
In view of the above, the present invention provides a method for participating in frequency modulation of a power grid by a lithium iron phosphate battery considering environment correction model parameters, so as to overcome or at least partially solve the above problems in the prior art.
In order to achieve the above object, the present invention provides a method for participating in frequency modulation of a power grid by a lithium iron phosphate battery considering environment correction model parameters, the method is applied to a power grid system using the battery as energy storage, and the method comprises the following steps:
s101, establishing an energy storage battery SOC (state of charge) model considering the rated capacity and the charge-discharge efficiency of the energy storage battery;
s102, establishing an energy storage battery running state model;
s103, correcting the rated capacity and the charge-discharge efficiency of the energy storage battery by considering tropical island environmental factors;
s104, correcting the SOC state of the energy storage battery by considering tropical island environmental factors;
and S105, controlling the energy storage frequency of the power grid by considering the SOC state correction of the energy storage battery.
Further, the SOC model of the energy storage battery is as follows:
wherein SOC is the state of charge, SOC, of the energy storage battery 0 Is the initial charge level of the energy storage cell, C N Is the rated capacity, P, of the battery b Eta is the charge-discharge efficiency of the battery, and eta = eta is the energy storage charge c Wherein eta c Charging efficiency for the energy storage battery; when the energy storage is discharged, eta = 1/eta d ，η d The cell discharge efficiency.
Further, establishing the energy storage battery running state model specifically includes: dividing the running state of the energy storage battery into a normal running state and an alert state, wherein the alert state comprises a high alert state and a low alert state, and when the SOC of the energy storage battery is in the normal state, power charging and discharging can be carried out; when the energy storage battery is in a high-alert state, only discharge can be carried out; the energy storage battery can only be charged when in a low alert state.
Further, the tropical sea island environmental factors comprise temperature, humidity and salinity.
Further, when the rated capacity of the energy storage battery is corrected by considering the temperature in the environment factors of the tropical sea island, the rated capacity of the energy storage battery is corrected by the temperature correlation coefficient, and the correction expression is as follows:
C t2 ＝C t1 [1+α×(t 2 -t 1 )]
wherein, C t1 Is the capacity, C, of the energy storage battery at the temperature t1 DEG C t2 The capacity of the energy storage battery at the temperature t2 ℃, and alpha is a temperature correlation coefficient of the capacity of the energy storage battery along with the change of the temperature.
Further, when the charging and discharging efficiency of the energy storage battery is corrected by temperature in consideration of tropical sea island environmental factors, the charging and discharging efficiency of the energy storage battery is corrected by the coulomb coefficient, and the correction expression is as follows:
η E ＝K E η e
wherein eta is E To take into account the equivalent charge-discharge efficiency after temperature, K E To take account of the coulomb correlation coefficient of temperature, η e The equivalent charge-discharge coefficient without considering the temperature.
Further, when the temperature in the tropical sea island environment factors is considered to correct the SOC of the energy storage battery, the correction expression is as follows:
wherein SOC (T) is the state of charge (SOC) of the energy storage battery at the temperature T 0 (T) is the initial charge level of the energy storage battery at the temperature T, eta (T) is the charge-discharge efficiency of the battery at the temperature T, C N And (T) is the rated capacity of the energy storage battery at the temperature T.
Further, considering that the SOC state of the energy storage battery is corrected to control the energy storage frequency of the power grid, the method specifically includes: in the stage that the energy storage system participates in power grid regulation, the temperature of the energy storage system is collected in real time, the SOC state is continuously corrected, when the power generation power of the system is increased, the energy storage system is charged, and if the SOC is smaller than 0.1, the energy storage system is charged with the maximum charging power, so that the unbalanced power of the system is reduced; when the SOC is more than 0.9, stopping charging, and the energy storage system corrects an energy storage charging and discharging droop coefficient in real time according to the corrected SOC state to realize real-time mapping with the actual scene working condition, wherein the droop coefficient is as follows:
where m represents the exponential rate of change, kmax is the maximum sag factor, K b_d Is the sag coefficient, K, of the energy storage cell during discharge b_c Sag factor when charging energy storage batteries.
Compared with the prior art, the invention has the beneficial effects that:
according to the method provided by the invention, tropical island environmental factors are considered when the energy storage battery participates in the frequency control of the power grid, a model parameter real-time correction method based on the association of the tropical island environmental factors is provided, the operation condition of the actual battery is better fitted, the accuracy of the model parameters in the modeling process of the power system is improved, and the SOC state correction of the energy storage battery is considered on the basis to control the energy storage frequency of the power grid, so that the frequency control accuracy and efficiency are improved, and the method has a high actual engineering application value.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the following description are only preferred embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without inventive efforts.
Fig. 1 is a schematic overall flow chart of a method for participating in frequency modulation of a power grid by a lithium iron phosphate battery with consideration of environment correction model parameters, provided by an embodiment of the present invention.
Fig. 2 is a schematic diagram of an energy storage battery SOC model according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of an energy storage droop control strategy based on SOC according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, the illustrated embodiments are provided to illustrate the invention and not to limit the scope of the invention.
Referring to fig. 1, the present embodiment provides a method for participating in grid frequency modulation by a lithium iron phosphate battery considering environment correction model parameters, the method is applied to a grid system using the battery as an energy storage, and the method includes the following steps:
s101, establishing an energy storage battery SOC (state of charge) model considering the rated capacity and the charge-discharge efficiency of the energy storage battery.
And S102, establishing an energy storage battery running state model.
And S103, correcting the rated capacity and the charge and discharge efficiency of the energy storage battery by considering the tropical island environment factors.
And S104, correcting the SOC state of the energy storage battery by considering the tropical island environment factors.
And S105, controlling the energy storage frequency of the power grid by considering the SOC state correction of the energy storage battery.
Referring to fig. 2, the SOC of the energy storage battery is a ratio of a remaining battery capacity to a rated battery capacity at a certain discharge rate, and in step S101, the SOC model of the energy storage battery is as follows:
wherein SOC is the state of charge, SOC, of the energy storage battery 0 Is the initial charge level of the energy storage cell, C N Is the rated capacity, P, of the battery b Eta is the charge-discharge efficiency of the battery, and eta = eta is the charge-discharge efficiency of the battery when energy is stored and charged c Wherein eta c Charging efficiency for the energy storage battery; when the stored energy is discharged, eta = 1/eta d ，η d The cell discharge efficiency.
In this embodiment, the operating state of the energy storage battery is divided into a normal operating state and an alert state, where the alert state includes a high alert state and a low alert state, and when the energy storage battery operates in the low alert state or the high alert state for a long time, the service life of the battery is greatly shortened. Therefore, the embodiment sets that when the SOC of the energy storage battery is in a normal state, power charging and discharging can be carried out; when the energy storage battery is in a high-alert state, only discharge can be carried out; when the energy storage battery is in a low-warning state, the energy storage battery can only be charged, and the influence on the service life of the battery due to over charge and discharge of the energy storage battery is avoided.
In steps S103 and S104, the environmental factors of the tropical island at least include temperature, humidity and salinity, and the SOC model is corrected by comprehensively considering images of the rated capacity and the charge-discharge efficiency of the energy storage battery of various special environmental factors of the tropical island, so that the SOC value calculated by the method better conforms to the actual operating condition of the energy storage battery in the tropical island environment, and the accuracy of the model parameters in the power system modeling process is further improved.
As a preferable example, in the present embodiment, a lithium iron phosphate battery is used as a research object, and based on test result data of an actual manufacturer, when a rated capacity of an energy storage battery is corrected by temperature in consideration of environmental factors of tropical sea and island, the rated capacity of the energy storage battery is corrected by a temperature correlation coefficient, and a correction expression is as follows:
C t2 ＝C t1 [1+α×(t 2 -t 1 )]
wherein, C t1 Is the capacity, C, of the energy storage battery at the temperature t1 DEG C t2 The capacity of the energy storage battery at the temperature t2 ℃, alpha is a temperature correlation coefficient of the capacity of the energy storage battery along with the temperature change, and alpha is different at different temperatures.
When the correction of the charging and discharging efficiency of the energy storage battery by the temperature in the tropical island environment factors is considered, the charging and discharging efficiency of the energy storage battery is corrected through the coulomb coefficient, and the correction expression is as follows:
η E ＝K E η e
wherein eta E To take into account the equivalent charge-discharge efficiency after temperature, K E To take into account the temperatureCoulomb correlation coefficient of degree, η e The equivalent charge-discharge coefficient without considering the temperature.
When the temperature in the tropical sea island environment factors is considered to correct the SOC of the energy storage battery, the correction expression is as follows:
wherein SOC (T) is the state of charge (SOC) of the energy storage battery at the temperature T 0 (T) is the initial charge level of the energy storage battery at the temperature T, eta (T) is the charge-discharge efficiency of the battery at the temperature T, C N And (T) is the rated capacity of the energy storage battery at the temperature T. In the actual operation process, the SOC taking account of the environmental factors of the tropical island and the SOC not taking account of the environmental factors of the tropical island are obviously different under the extreme environment, which also influences the difference of the time for reaching the high-alert position and the low-alert position when the battery participates in the power grid regulation, thereby causing the energy storage system to be difficult to accurately execute the control instruction. The method provided by the embodiment can effectively estimate the SOC of the energy storage battery more accurately aiming at extreme weather conditions, so that the battery is guaranteed to better participate in power grid regulation and control in practical application.
When the energy storage system is applied to grid frequency modulation, the droop coefficient control is usually adopted, but overcharge and overdischarge may occur, so the SOC state needs to be considered in an energy storage frequency modulation strategy. Referring to fig. 3, in this embodiment, considering SOC state correction of the energy storage battery to control the energy storage frequency of the power grid specifically includes: and in the stage that the energy storage system participates in the power grid regulation, the temperature of the energy storage system is collected in real time, the SOC state is continuously corrected, and when the power generation power of the system is increased, the energy storage system is charged, as shown in a charging curve in fig. 3. If the SOC is less than 0.1, the energy storage system is charged with the maximum charging power, and the unbalanced power of the system is reduced; when the SOC is more than 0.9, stopping charging, and the energy storage system corrects an energy storage charging and discharging droop coefficient in real time according to the corrected SOC state to realize real-time mapping with the actual scene working condition, wherein the droop coefficient is as follows:
where m represents the exponential rate of change, kmax is the maximum sag factor, K b_d Is the sag coefficient, K, of the energy storage cell during discharge b_c Sag factor when charging energy storage batteries.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (8)
1. A method for participating in power grid frequency modulation by a lithium iron phosphate battery considering environment correction model parameters is applied to a power grid system with the battery as an energy storage, and comprises the following steps:
s101, establishing an energy storage battery SOC (state of charge) model considering the rated capacity and the charge-discharge efficiency of the energy storage battery;
s102, establishing an energy storage battery running state model;
s103, correcting the rated capacity and the charge-discharge efficiency of the energy storage battery by considering tropical island environmental factors;
s104, correcting the SOC state of the energy storage battery by considering tropical island environment factors;
and S105, controlling the energy storage frequency of the power grid by considering the SOC state correction of the energy storage battery.
2. The method for participating in grid frequency modulation by taking into account environment correction model parameters according to claim 1, wherein the energy storage battery SOC model is as follows:
wherein SOC is the state of charge, SOC, of the energy storage battery 0 Is the initial charge level of the energy storage cell, C N Is the rated capacity, P, of the battery b Eta is the charge-discharge efficiency of the battery, and eta = eta is the energy storage charge c Wherein eta c Charging efficiency for the energy storage battery; when the stored energy is discharged, eta = 1/eta d ，η d The cell discharge efficiency.
3. The method for participating in power grid frequency modulation by taking into account environmental correction model parameters according to claim 1, wherein the establishing of the energy storage battery operating state model specifically comprises: dividing the running state of the energy storage battery into a normal running state and an alert state, wherein the alert state comprises a high alert state and a low alert state, and when the SOC of the energy storage battery is in the normal state, power charging and discharging can be carried out; when the energy storage battery is in a high-alert state, only discharge can be carried out; the energy storage battery can only be charged when in a low alert state.
4. The method for participating in frequency modulation of a power grid by lithium iron phosphate batteries considering environment correction model parameters as claimed in claim 1, wherein the tropical island environmental factors comprise temperature, humidity and salinity.
5. The method for participating in grid frequency modulation by lithium iron phosphate battery considering environmental correction model parameters as claimed in claim 4, wherein when the rated capacity of the energy storage battery is corrected by temperature in consideration of tropical sea island environmental factors, the rated capacity of the energy storage battery is corrected by temperature correlation coefficient, and the correction expression is as follows:
C t2 ＝C t1 [1+α×(t 2 -t 1 )]
wherein, C t1 Is the capacity, C, of the energy storage battery at the temperature t1 DEG C t2 The capacity of the energy storage battery at the temperature of t2 ℃, and alpha is the capacity of the energy storage batteryTemperature dependence coefficient as a function of temperature.
6. The method for participating in frequency modulation of a power grid by lithium iron phosphate batteries in consideration of environmental correction model parameters, according to claim 4, is characterized in that when the correction of the charging and discharging efficiency of the energy storage batteries by temperature in tropical sea island environmental factors is considered, the charging and discharging efficiency of the energy storage batteries is corrected by coulomb coefficients, and the correction expression is as follows:
η E ＝K E η e
wherein eta is E To take into account the equivalent charge-discharge efficiency after temperature, K E To take account of the coulomb correlation coefficient of temperature, η e The equivalent charge-discharge coefficient of temperature is not considered.
7. The method for participating in frequency modulation of a power grid by lithium iron phosphate battery considering environment correction model parameters as claimed in claim 1, wherein when the SOC of the energy storage battery is corrected by considering the temperature in tropical sea island environment factors, the correction expression is as follows:
wherein SOC (T) is the state of charge (SOC) of the energy storage battery at the temperature T 0 (T) is the initial charge level of the energy storage battery at the temperature T, eta (T) is the charge-discharge efficiency of the battery at the temperature T, C N And (T) is the rated capacity of the energy storage battery at the temperature T.
8. The method for participating in grid frequency modulation by considering the environmental correction model parameters according to claim 7, wherein the step of controlling the grid energy storage frequency by considering the SOC state correction of the energy storage battery specifically comprises: in the stage that the energy storage system participates in power grid regulation, the temperature of the energy storage system is collected in real time, the SOC state is continuously corrected, when the power generation power of the system is increased, the energy storage system is charged, and if the SOC is smaller than 0.1, the energy storage system is charged with the maximum charging power, so that the unbalanced power of the system is reduced; when the SOC is more than 0.9, stopping charging, and correcting the energy storage charging and discharging droop coefficient in real time by the energy storage system according to the corrected SOC state to realize real-time mapping with the actual scene working condition, wherein the droop coefficient is as follows:
where m represents the exponential rate of change, kmax is the maximum sag factor, K b_d Is the sag coefficient, K, of the energy storage cell during discharge b_c The sag factor when charging the energy storage battery.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211047485.0A CN115395545A (en) | 2022-08-29 | 2022-08-29 | Method for participating in power grid frequency modulation by lithium iron phosphate battery considering environment correction model parameters |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211047485.0A CN115395545A (en) | 2022-08-29 | 2022-08-29 | Method for participating in power grid frequency modulation by lithium iron phosphate battery considering environment correction model parameters |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115395545A true CN115395545A (en) | 2022-11-25 |
Family
ID=84124272
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211047485.0A Pending CN115395545A (en) | 2022-08-29 | 2022-08-29 | Method for participating in power grid frequency modulation by lithium iron phosphate battery considering environment correction model parameters |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115395545A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116388162A (en) * | 2023-03-31 | 2023-07-04 | 海南电网有限责任公司 | Micro-grid frequency response model establishment method considering environmental parameter correction |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160013676A1 (en) * | 2013-11-19 | 2016-01-14 | Panasonic Corporation | Frequency regulation method, frequency regulation apparatus, and storage battery system |
| CN107069789A (en) * | 2017-05-13 | 2017-08-18 | 东北电力大学 | A kind of energy-storage system control strategy towards power network AGC frequency modulation |
| CN110380438A (en) * | 2019-07-04 | 2019-10-25 | 湖南大学 | A kind of fast frequency hopping control method considering energy storage operation limit |
| CN111614106A (en) * | 2020-06-02 | 2020-09-01 | 国网福建省电力有限公司 | Control method for battery energy storage system to participate in primary frequency modulation of power grid |
| CN112305432A (en) * | 2020-09-18 | 2021-02-02 | 傲普(上海)新能源有限公司 | SOC calibration method for large energy storage system battery |
| CN112444749A (en) * | 2020-11-06 | 2021-03-05 | 南京航空航天大学 | Lithium battery state of charge joint estimation method based on temperature correction model |
-
2022
- 2022-08-29 CN CN202211047485.0A patent/CN115395545A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160013676A1 (en) * | 2013-11-19 | 2016-01-14 | Panasonic Corporation | Frequency regulation method, frequency regulation apparatus, and storage battery system |
| CN107069789A (en) * | 2017-05-13 | 2017-08-18 | 东北电力大学 | A kind of energy-storage system control strategy towards power network AGC frequency modulation |
| CN110380438A (en) * | 2019-07-04 | 2019-10-25 | 湖南大学 | A kind of fast frequency hopping control method considering energy storage operation limit |
| CN111614106A (en) * | 2020-06-02 | 2020-09-01 | 国网福建省电力有限公司 | Control method for battery energy storage system to participate in primary frequency modulation of power grid |
| CN112305432A (en) * | 2020-09-18 | 2021-02-02 | 傲普(上海)新能源有限公司 | SOC calibration method for large energy storage system battery |
| CN112444749A (en) * | 2020-11-06 | 2021-03-05 | 南京航空航天大学 | Lithium battery state of charge joint estimation method based on temperature correction model |
Non-Patent Citations (3)
| Title |
|---|
| JONATHAN J. P. MOURA 等: "State of Charge Estimation for Li-Ion Batteries Based on Recurrent NARX Neural Network with Temperature Effect", 《IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE》 * |
| MARCELO A. XAVIER 等: "A Model-Based Approach for Correcting State of Charge Drift in Hybrid Electric Vehicles", 《IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS》 * |
| 罗勇 等: "基于容量修正的安时积分SOC估算方法研究", 《汽车工程》, vol. 42, no. 5, pages 1 - 3 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116388162A (en) * | 2023-03-31 | 2023-07-04 | 海南电网有限责任公司 | Micro-grid frequency response model establishment method considering environmental parameter correction |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110429693B (en) | Energy storage battery pack power control method based on battery pack consistency | |
| CN107508303B (en) | Micro-grid-oriented modular energy storage device optimal configuration and control method | |
| CN104638772B (en) | Battery energy storage power station energy management method based on wind power prediction | |
| US8773076B2 (en) | Battery management system, method of removing polarization voltage of battery, and estimating state of charge of battery | |
| CN112060982B (en) | Dynamically balanced fuel cell unmanned aerial vehicle energy management method | |
| Li et al. | Modeling and control strategy of battery energy storage system for primary frequency regulation | |
| CN111371104B (en) | Power grid frequency stability control method based on wind-storage combined power generation system | |
| CN111064214A (en) | Power distribution network optimal scheduling method based on electric vehicle two-stage rolling strategy | |
| CN109617103B (en) | Energy control method and system for gradient utilization energy storage battery of energy storage unit | |
| CN105226689A (en) | Consider polymorphic type energy-storage system energy management method and the system of operation and maintenance | |
| CN105244920A (en) | Energy storage system multi-target control method with consideration of battery health state and system | |
| CN114006442A (en) | Battery energy storage power station energy management method considering charge state consistency | |
| CN114123280A (en) | Battery energy storage power station energy management method considering system efficiency | |
| CN113452054A (en) | Power optimization control method and control device of battery energy storage system | |
| CN115395545A (en) | Method for participating in power grid frequency modulation by lithium iron phosphate battery considering environment correction model parameters | |
| CN115085327A (en) | Energy storage device operation control system and method in low-temperature environment | |
| CN114611957A (en) | Secondary correction energy storage energy management algorithm for supply and demand prediction deviation | |
| CN112117769B (en) | Energy storage AGC combined power grid frequency modulation system and power grid frequency modulation method | |
| CN112269966B (en) | Communication base station virtual power plant power generation capacity measurement method considering standby demand | |
| CN107834574B (en) | Control method for power exchange between distributed energy system and power grid | |
| Han et al. | Energy storage frequency response control considering battery aging of electric vehicle | |
| CN117254491A (en) | Time domain rolling optimization method and system for wind-light-hydrogen storage micro-grid system | |
| CN110429626B (en) | Energy management system and management method suitable for grid-connected energy storage system | |
| CN116667406A (en) | Energy storage charging and discharging strategy optimization method based on nonlinear programming | |
| CN116388243A (en) | Energy storage configuration optimization method for micro-grid storage battery in cold region |
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 |