CN111431190A - Multiple hybrid energy storage system for stabilizing wind power fluctuation - Google Patents
Multiple hybrid energy storage system for stabilizing wind power fluctuation Download PDFInfo
- Publication number
- CN111431190A CN111431190A CN202010107953.3A CN202010107953A CN111431190A CN 111431190 A CN111431190 A CN 111431190A CN 202010107953 A CN202010107953 A CN 202010107953A CN 111431190 A CN111431190 A CN 111431190A
- Authority
- CN
- China
- Prior art keywords
- battery
- vrb
- soc
- super capacitor
- energy storage
- 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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
-
- 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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/345—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering using capacitors as storage or buffering devices
-
- 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
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
-
- 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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/10—Flexible AC transmission systems [FACTS]
-
- 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
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
Abstract
The application discloses a plurality of hybrid energy storage systems for stabilizing wind power fluctuation, which comprise an all-vanadium redox flow battery and lithium iron phosphate battery energy storage system, a super capacitor control system and a battery control system; the super capacitor control system outputs the wind power P after one-time stabilizationw1(t); the battery control system collects the state of charge SOC (state of charge) of the all-vanadium redox flow battery and the lithium iron phosphate battery energy storage system in real time2(t) state of charge SOC of lithium iron phosphate battery3(t) wind power P output by the super capacitor control systemw1(t) upper and lower limit values P of charge-discharge power of all-vanadium redox flow batteryvrb.max、Pvrb.minAnd lithium iron phosphateUpper and lower limit values P of charge and discharge power of batteryli.max、Pli.min(ii) a And the battery control system outputs the wind power subjected to secondary stabilization to the power grid. The problem of current energy storage system life short, to the poor effect of wind power fluctuation suppression is solved.
Description
Technical Field
The invention belongs to the technical field of renewable energy power generation system management, and relates to a multiple hybrid energy storage system for stabilizing wind power fluctuation.
Background
The inherent randomness and intermittent characteristics of the power generation system of renewable energy sources such as wind energy, solar energy and the like determine that the power generation system belongs to electric energy with low energy density, poor stability and poor energy regulation, the generated energy is greatly influenced by weather and regions, and if the power generation system is directly connected to the power grid, the safety, stability, economic operation and electric energy quality of the power grid are adversely influenced. The application of the high-capacity energy storage technology can promote the optimization of a power grid structure, solve the problems of randomness, volatility and the like of power generation of renewable energy sources, realize friendly access and coordination control of the renewable energy sources, enable the renewable energy sources to become adjustable, controllable and programmable, promote the utilization of the renewable energy sources, and ensure the stable operation of a renewable energy power system.
The hybrid energy storage technology makes up for many defects of a single energy storage technology, however, a traditional hybrid energy storage system usually adopts two energy storage media, and the traditional hybrid energy storage system of the two energy storage media has the advantages of short service life and high investment cost.
Meanwhile, the current common hybrid energy storage technology control algorithm is an algorithm of a first-order low-pass filter principle, and the filter cannot be adjusted in real time along with the field condition and cannot effectively stabilize the fluctuation of the wind power.
Disclosure of Invention
In order to solve the defects in the prior art, the application provides the multiple hybrid energy storage systems for stabilizing the wind power fluctuation, so that the wind power fluctuation rate is further reduced while the investment cost is reduced and the service life of the energy storage system is prolonged.
In order to achieve the above objective, the following technical solutions are adopted in the present application:
a multi-hybrid energy storage system for stabilizing wind power fluctuation comprises an all-vanadium redox flow battery and lithium iron phosphate battery energy storage system, a super capacitor control system and a battery control system;
the super-capacitor control system collects the state of electric quantity SOC of the super-capacitor energy storage system in real time1(t) wind power P of a wind farmw(t) and upper and lower limit values P of charge and discharge power of super capacitor energy storage systemsc.max、Psc.min;
The super capacitor control system outputs the wind power P after one-time stabilization to the outsidew1(t);
The battery control system collects the state of charge SOC (state of charge) of the all-vanadium redox flow battery and the lithium iron phosphate battery energy storage system in real time2(t), electric quantity state SOC of lithium iron phosphate battery of all-vanadium redox flow battery and lithium iron phosphate battery energy storage system3(t) wind power P output by super capacitor control systemw1(t) upper and lower limit values P of charge-discharge power of all-vanadium redox flow batteryvrb.max、Pvrb.minAnd the upper and lower limit values P of the charging and discharging power of the lithium iron phosphate batteryli.max、Pli.min;
And the battery control system outputs the wind power subjected to secondary stabilization to the power grid.
The invention further comprises the following preferred embodiments:
preferably, the super capacitor control system comprises a super capacitor low-pass filter module, a super capacitor fuzzy controller module and a super capacitor SOC correction module;
the super capacitor fuzzy controller in the super capacitor control system controls a time constant in the super capacitor low-pass filter, and the super capacitor fuzzy controller passes through the state of charge (SOC) of the super capacitor1(t) determining a time constant in the supercapacitor low-pass filter by the supercapacitor output psc (t) output through the supercapacitor low-pass filter; super capacitor output Psc (t) determining the final output P of the super capacitor through the correction of the super capacitor SOC correction module1(t)。
Preferably, the battery control system comprises a battery low-pass filter module, a battery fuzzy controller module, a battery SOC correction module and a battery energy distribution module;
the battery fuzzy controller in the battery control system controls the time constant of the battery low-pass filter, and the battery fuzzy controller collects the state of charge (SOC) of the all-vanadium redox flow battery and the lithium iron phosphate battery energy storage system2(t) state of charge SOC of lithium iron phosphate battery3(t) and the total output P (t) of the energy storage system output through the battery low-pass filter to determine the time constant of the battery low-pass filter; the total output P (t) of the energy storage system is corrected by the battery SOC correction module to obtain the output value P of the all-vanadium redox flow batteryvrbAnd distributing the output P of the all-vanadium redox flow battery in the energy storage system through the energy distribution module2(t) and final output P of lithium iron phosphate battery3(t)。
Preferably, the super-capacitor fuzzy controller collects a super-capacitor output value Psc and an electric quantity state SOC of the super-capacitor in real time1(T), controlling a time constant T in the super capacitor low-pass filter in real time; the control rule is as follows:
dividing the fuzzy control subset of the input super capacitor output value Psc into four gears of NB with a large negative value, NS with a small negative value, PS with a small positive value and PB with a large positive value;
the state of charge input into the super capacitor is SOC at a certain time1The fuzzy control subset is divided into five stages of small S, small SN of normal value, N of normal value, large BN of normal value and large B;
dividing a fuzzy subset of a time constant T in the output super capacitor low-pass filter into five stages of small NB, small NS, large PS and large PB, wherein the normal value is small NS, the normal value is N, the normal value is large PS and the normal value is large PB;
the super capacitor fuzzy controller inputs a fuzzy control subset of a super capacitor output value Psc and the SOC of the super capacitor at a certain moment1Fuzzy control ofAnd (4) performing subset to obtain fuzzy subset values of the time constant T in the output super capacitor low-pass filter.
Preferably, the all-vanadium redox flow battery is used as a main output medium of the all-vanadium redox flow battery and a lithium iron phosphate battery energy storage system;
the charge state constraint of the all-vanadium redox flow battery is as follows:
Pvrb.min1=(SOC2-SOCmax)×SvrbN/dt,Pvrb.min1=(SOC2-SOCmin)×SvrbN/dt;
the charge-discharge power limit value constraint of the all-vanadium redox flow battery is as follows: pvrb.min≤Pvrb≤Pvrb.max;
Wherein: SOC1: a flow battery state of charge; SOCmax: an upper flow battery state of charge limit; SOCmin: a flow battery state of charge lower limit; dt: controlling the time interval; svrbN: rated capacity of the lithium iron phosphate battery;
Pvrb.max1: the upper limit of charge-discharge power determined by the charge state of the flow battery; pvrb.min1: and the lower limit of the charge-discharge power is determined by the charge state of the flow battery.
The battery control system determines the output P of the all-vanadium redox flow battery and the all-vanadium redox flow battery of the lithium iron phosphate battery energy storage system2(t) output P of lithium iron phosphate battery3The specific method of power allocation of (t) is as follows:
the obtained total energy storage output value P is obtained according to the state of charge SOC of the flow battery2(t) correcting the battery SOC correction module to obtain a force output value P of the all-vanadium redox flow batteryvrbThen according to PvrbAnd judging whether the supplementary output of the lithium iron phosphate battery is needed or not according to the value.
Preferably, when the power value P of the all-vanadium redox flow battery isvrb>[Pvrb.max1,Pvrb.max]minAnd then, outputting the power value of the all-vanadium redox flow battery according to the maximum value, supplementing the rest power value by the lithium iron phosphate battery, and then according to the state of charge (SOC) of the lithium iron phosphate battery3(t) carrying out cell SOC capacity correction;
at the moment, the power value P of the all-vanadium redox flow battery2(t)=[Pvrb.max1,Pvrb.max]minThe power value P of the lithium iron phosphate batteryli(t)=P-P2(t), then correcting the SOC of the battery, and finally outputting the output power P of the lithium iron phosphate battery3(t)。
Preferably, when [ P ]vrb.min1,Pvrb.min]max<Power value P of all-vanadium redox flow batteryvrb<[Pvrb.max1,Pvrb.max]minWhen the power value of the flow battery can meet the requirement, P is2(t)=Pvrb(t), the power value P of the lithium iron phosphate batteryli(t)=P-P2(t), then correcting the SOC capacity of the battery, and finally outputting the output power P of the lithium iron phosphate battery3(t)。
Preferably, when the power value P of the all-vanadium redox flow battery isvrb<[Pvrb.min1,Pvrb.min]maxWhen the power value of the all-vanadium redox flow battery is output according to the minimum value, P is2(t)=[Pvrb.min1,Pvrb.min]maxThe power value P of the lithium iron phosphate batteryli(t)=P-P2(t), then correcting the SOC capacity of the battery, and finally outputting the output power P of the lithium iron phosphate battery3(t)。
The beneficial effect that this application reached:
this application adopts the hybrid energy storage system that three kinds of energy storage modes are constituteed, will adopt full vanadium redox flow battery as main energy source, lithium iron phosphate battery and super capacitor are as supplementary energy source, regard full vanadium redox flow battery and lithium iron phosphate battery as primary filter, regard super capacitor as secondary filter, complement the cooperation each other in the fluctuation of wind power calm algorithm, reduce the charge-discharge number of times of battery, avoid its heavy current charge-discharge simultaneously, reduce investment cost, when prolonging energy storage system life, wind power fluctuation rate has been reduced to a great extent.
Drawings
FIG. 1is a system composition diagram of a hybrid energy storage system of the present application for stabilizing wind power fluctuations;
FIG. 2 is a block diagram of a supercapacitor controller system of a hybrid energy storage system of the present application for stabilizing wind power fluctuations;
FIG. 3 is a battery control system diagram of a hybrid energy storage system of the present application for stabilizing wind power fluctuations;
fig. 4 is a schematic diagram of an operation process of a fuzzy battery controller of a battery control system of a hybrid energy storage system for stabilizing wind power fluctuation according to the present application.
Detailed Description
The present application is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
As shown in fig. 1, the multiple hybrid energy storage systems for stabilizing wind power fluctuation include an all-vanadium redox flow battery and lithium iron phosphate battery energy storage system, a super capacitor control system and a battery control system;
the super-capacitor control system collects the state of electric quantity SOC of the super-capacitor energy storage system in real time1(t) wind power P of a wind farmw(t) and upper and lower limit values P of charge and discharge power of super capacitor energy storage systemsc.max、Psc.min;
The super capacitor control system outputs the wind power P after one-time stabilization to the outsidew1(t);
The battery control system collects the state of charge SOC (state of charge) of the all-vanadium redox flow battery and the lithium iron phosphate battery energy storage system in real time2(t), electric quantity state SOC of lithium iron phosphate battery of all-vanadium redox flow battery and lithium iron phosphate battery energy storage system3(t) wind power P output by super capacitor control systemw1(t) upper and lower limit values P of charge-discharge power of all-vanadium redox flow batteryvrb.max、Pvrb.minAnd the upper and lower limit values P of the charging and discharging power of the lithium iron phosphate batteryli.max、Pli.min;
And the battery control system outputs the wind power subjected to secondary stabilization to the power grid.
As shown in fig. 2, in an embodiment, the super capacitor control system includes a super capacitor low pass filter module, a super capacitor fuzzy controller module, and a super capacitor SOC correction module;
the super capacitor fuzzy controller in the super capacitor control system controls a time constant in the super capacitor low-pass filter, and the super capacitor fuzzy controller passes through the state of charge (SOC) of the super capacitor1(t) determining a time constant in the supercapacitor low-pass filter by the supercapacitor output psc (t) output through the supercapacitor low-pass filter; the final output P of the super capacitor is determined by correcting the super capacitor output Psc (t) through the super capacitor SOC correction module1(t)。
As shown in fig. 3, in an embodiment, the battery control system includes a battery low pass filter module, a battery fuzzy controller module, a battery SOC correction module, and a battery energy distribution module;
the battery fuzzy controller in the battery control system controls the time constant of the battery low-pass filter, and the battery fuzzy controller collects the state of charge (SOC) of the all-vanadium redox flow battery and the lithium iron phosphate battery energy storage system2(t) state of charge SOC of lithium iron phosphate battery3(t) and the total output P (t) of the energy storage system output through the battery low-pass filter to determine the time constant of the battery low-pass filter; the total output P (t) of the energy storage system is corrected by the battery SOC correction module to obtain the output value P of the all-vanadium redox flow batteryvrbAnd distributing the output P of the all-vanadium redox flow battery in the energy storage system through the energy distribution module2(t) and final output P of lithium iron phosphate battery3(t)。
In the embodiment, the super capacitor fuzzy controller collects the super capacitor output value Psc and the electric quantity state SOC of the super capacitor in real time1(T), controlling a time constant T in the super capacitor low-pass filter in real time; the control rule is as follows:
table 1: super capacitor fuzzy controller control instruction search table
Dividing the fuzzy control subset of the input super capacitor output value Psc into four gears of NB with a large negative value, NS with a small negative value, PS with a small positive value and PB with a large positive value;
the state of charge input into the super capacitor is SOC at a certain time1The fuzzy control subset is divided into five stages of small S, small SN of normal value, N of normal value, large BN of normal value and large B;
dividing a fuzzy subset of a time constant T in the output super capacitor low-pass filter into five stages of small NB, small NS, large PS and large PB, wherein the normal value is small NS, the normal value is N, the normal value is large PS and the normal value is large PB;
the super capacitor fuzzy controller inputs a fuzzy control subset of a super capacitor output value Psc and the SOC of the super capacitor at a certain moment1The fuzzy subset value of the time constant T in the output super capacitor low-pass filter is obtained.
The working process is exemplified by selecting a certain control rule in table 1: if Psc is NS and SOC1isNS the T is PS. When SOC is reached1When the value is normal and smaller, the wind power change value Psc is smaller, the over-capacity needs to be discharged, the time constant T is adjusted to be normal and larger, the compensation power of the over-capacity is reduced, and the SOC is enabled to be smaller1Approaching normal values.
In the embodiment, as shown in fig. 4, the all-vanadium redox flow battery is used as a main output medium of the all-vanadium redox flow battery and a lithium iron phosphate battery energy storage system;
the charge state constraint of the all-vanadium redox flow battery is as follows:
Pvrb.min1=(SOC1-SOCmax)×SvrbN/dt,Pvrb.max1=(SOC1-SOCmin)×SvrbN/dt;
the charge-discharge power limit value constraint of the all-vanadium redox flow battery is as follows: pvrb.min≤Pvrb≤Pvrb.max;
Wherein: SOC1: liquid for treating urinary tract infectionA flow battery state of charge; SOCmax: an upper flow battery state of charge limit; SOCmin: a flow battery state of charge lower limit; dt: controlling the time interval; svrbN: rated capacity of the lithium iron phosphate battery;
Pvrb.max1: the upper limit of charge-discharge power determined by the charge state of the flow battery; pvrb.min1: and the lower limit of the charge-discharge power is determined by the charge state of the flow battery.
The battery control system determines the output P of the all-vanadium redox flow battery and the all-vanadium redox flow battery of the lithium iron phosphate battery energy storage system2(t) output P of lithium iron phosphate battery3The specific method of power allocation of (t) is as follows:
the obtained total energy storage output value P is according to the state of charge SOC of the all-vanadium redox flow battery2(t) correcting the battery SOC correction module to obtain a force output value P of the all-vanadium redox flow batteryvrbThen according to PvrbAnd judging whether the supplementary output of the lithium iron phosphate battery is needed or not according to the value.
When the power value P of the all-vanadium redox flow batteryvrb>[Pvrb.max1,Pvrb.max]minAnd then, outputting the power value of the all-vanadium redox flow battery according to the maximum value, supplementing the rest power value by the lithium iron phosphate battery, and then according to the state of charge (SOC) of the lithium iron phosphate battery3(t) correcting the SOC capacity of the battery;
at the moment, the power value P of the all-vanadium redox flow battery2(t)=[Pvrb.max1,Pvrb.max]minThe power value P of the lithium iron phosphate batteryli(t)=P-P2(t), then correcting the SOC of the battery, and finally outputting the output power P of the lithium iron phosphate battery3(t)。
When [ P ]vrb.min1,Pvrb.min]max<Power value P of all-vanadium redox flow batteryvrb<[Pvrb.max1,Pvrb.max]minWhen the power value of the flow battery can meet the requirement, P is2(t)=Pvrb(t), the power value P of the lithium iron phosphate batteryli(t)=P-P2(t), thereafter, correcting the SOC capacity of the battery, andthe output power of the lithium iron phosphate battery with final output is P3(t)。
When the power value P of the all-vanadium redox flow batteryvrb<[Pvrb.min1,Pvrb.min]maxWhen the power value of the all-vanadium redox flow battery is output according to the minimum value, P is2(t)=[Pvrb.min1,Pvrb.min]maxThe power value P of the lithium iron phosphate batteryli(t)=P-P2(t), then correcting the SOC capacity of the battery, and finally outputting the output power P of the lithium iron phosphate battery3(t)。
In an embodiment, taking the super capacity as an example, the correction rule of the SOC capacity of the battery is as follows:
when SOC is 0.1, it indicates that the battery is in short energy storage, if P is in this timesc> 0, the discharge should be stopped, i.e. Psc=Psc× k, where k is 0, if P is presentsc< 0, the charging power should be increased, i.e., where k > 1; k is a control parameter;
when SOC is in the interval (0.1, 0.2)]When it is time, it indicates that the battery is in insufficient energy storage, if P is presentsc> 0, the discharge power, i.e. P, should be reducedsc=Psc× k, where 0 < k < 1, if P is presentsc< 0, the charging power, i.e., P, should be increasedsc=Psc× k, wherein k > 1;
when SOC is in the interval (0.2, 0.8)]While maintaining the charge and discharge power PscThe change is not changed;
when SOC is in the interval (0.8, 0.9)]When the energy is in use, the energy stored in the battery tends to be saturated, if P is in usesc> 0, the discharge power, i.e. P, should be increasedsc=Psc× k, where k > 1, if this is the case Psc< 0, the charging power, i.e. P, should be reducedsc=Psc× k, wherein 0 < k < 1;
when SOC is 0.9, it shows that the battery energy storage is saturated, if P is in the processsc> 0, the discharge power, i.e. P, should be increasedsc=Psc× k, where k > 1, if this is the case Psc< 0, the charging should be stopped, i.e., Psc=Psc× k, wherein k is 0.
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.
Claims (8)
1. The utility model provides a stabilize undulant multiple hybrid energy storage system of wind power which characterized in that:
the multiple hybrid energy storage systems comprise an all-vanadium redox flow battery and lithium iron phosphate battery energy storage system, a super capacitor control system and a battery control system;
the super-capacitor control system collects the state of electric quantity SOC of the super-capacitor energy storage system in real time1(t) wind power P of a wind farmw(t) and upper and lower limit values P of charge and discharge power of super capacitor energy storage systemsc.max、Psc.min;
The super capacitor control system outputs the wind power P after one-time stabilization to the outsidew1(t);
The battery control system collects the state of charge SOC (state of charge) of the all-vanadium redox flow battery and the lithium iron phosphate battery energy storage system in real time2(t), electric quantity state SOC of lithium iron phosphate battery of all-vanadium redox flow battery and lithium iron phosphate battery energy storage system3(t) wind power P output by super capacitor control systemw1(t) upper and lower limit values P of charge-discharge power of all-vanadium redox flow batteryvrb.max、Pvrb.minAnd the upper and lower limit values P of the charging and discharging power of the lithium iron phosphate batteryli.max、Pli.min;
And the battery control system outputs the wind power subjected to secondary stabilization to the power grid.
2. The multiple hybrid energy storage system for stabilizing wind power fluctuations of claim 1, wherein:
the super capacitor control system comprises a super capacitor low-pass filter module, a super capacitor fuzzy controller module and a super capacitor SOC correction module;
the super capacitor fuzzy controller in the super capacitor control system controls a time constant in the super capacitor low-pass filter, and the super capacitor fuzzy controller passes through the state of charge (SOC) of the super capacitor1(t) determining a time constant in the supercapacitor low-pass filter by the supercapacitor output psc (t) output through the supercapacitor low-pass filter; the final output P of the super capacitor is determined by correcting the super capacitor output Psc (t) through the super capacitor SOC correction module1(t)。
3. The multiple hybrid energy storage system for stabilizing wind power fluctuations of claim 1, wherein:
the battery control system comprises a battery low-pass filter module, a battery fuzzy controller module, a battery SOC correction module and a battery energy distribution module;
the battery fuzzy controller in the battery control system controls the time constant of the battery low-pass filter, and the battery fuzzy controller collects the state of charge (SOC) of the all-vanadium redox flow battery and the lithium iron phosphate battery energy storage system2(t) state of charge SOC of lithium iron phosphate battery3(t) and the total output P (t) of the energy storage system output through the battery low-pass filter to determine the time constant of the battery low-pass filter; the total output P (t) of the energy storage system is corrected by the battery SOC correction module to obtain the output value P of the all-vanadium redox flow batteryvrbAnd distributing the output P of the all-vanadium redox flow battery in the energy storage system through the energy distribution module2(t) and final output P of lithium iron phosphate battery3(t)。
4. The multiple hybrid energy storage system for stabilizing wind power fluctuations of claim 2, wherein:
the super capacitor fuzzy controller collects a super capacitor output value Psc and a super capacitor in real timeState of charge SOC of capacitor1(T), controlling a time constant T in the super capacitor low-pass filter in real time; the control rule is as follows:
dividing the fuzzy control subset of the input super capacitor output value Psc into four gears of NB with a large negative value, NS with a small negative value, PS with a small positive value and PB with a large positive value;
the state of charge input into the super capacitor is SOC at a certain time1The fuzzy control subset is divided into five stages of small S, small SN of normal value, N of normal value, large BN of normal value and large B;
dividing a fuzzy subset of a time constant T in the output super capacitor low-pass filter into five stages of small NB, small NS, large PS and large PB, wherein the normal value is small NS, the normal value is N, the normal value is large PS and the normal value is large PB;
the super capacitor fuzzy controller inputs a fuzzy control subset of a super capacitor output value Psc and the SOC of the super capacitor at a certain moment1The fuzzy subset value of the time constant T in the output super capacitor low-pass filter is obtained.
5. The hybrid energy storage system for stabilizing wind power fluctuations of claim 3, wherein:
the all-vanadium redox flow battery is used as a main output medium of the all-vanadium redox flow battery and a lithium iron phosphate battery energy storage system;
the charge state constraint of the all-vanadium redox flow battery is as follows:
Pvrb.min1=(SOC2-SOCmax)×SvrbN/dt,Pvrb.max1=(SOC2-SOCmin)×SvrbN/dt;
the charge-discharge power limit value constraint of the all-vanadium redox flow battery is as follows: pvrb.min≤Pvrb≤Pvrb.max;
Wherein: SOC2: a flow battery state of charge; SOCmax: an upper flow battery state of charge limit; SOCmin: a flow battery state of charge lower limit; dt: controlling the time interval; svrbN: rated capacity of the lithium iron phosphate battery; pvrb.max1: flow battery charge stateA state-determined upper charge-discharge power limit; pvrb.min1: the lower limit of charge-discharge power determined by the charge state of the flow battery;
the battery control system determines the output P of the all-vanadium redox flow battery and the all-vanadium redox flow battery of the lithium iron phosphate battery energy storage system2(t) output P of lithium iron phosphate battery3The specific method of power allocation of (t) is as follows:
the obtained total energy storage output value P is obtained according to the state of charge SOC of the flow battery2(t) correcting the battery SOC correction module to obtain a force output value P of the all-vanadium redox flow batteryvrbThen according to PvrbAnd judging whether the supplementary output of the lithium iron phosphate battery is needed or not according to the value.
6. The hybrid energy storage system for stabilizing wind power fluctuations of claim 5, wherein:
when the power value P of the all-vanadium redox flow batteryvrb>[Pvrb.max1,Pvrb.max]minAnd then, outputting the power value of the all-vanadium redox flow battery according to the maximum value, supplementing the rest power value by the lithium iron phosphate battery, and then according to the state of charge (SOC) of the lithium iron phosphate battery3(t) correcting the SOC capacity of the battery;
at the moment, the power value P of the all-vanadium redox flow battery2(t)=[Pvrb.max1,Pvrb.max]minThe power value P of the lithium iron phosphate batteryli(t)=P-P2(t), then correcting the SOC of the battery, and finally outputting the output power P of the lithium iron phosphate battery3(t)。
7. The hybrid energy storage system for stabilizing wind power fluctuations of claim 5, wherein:
when [ P ]vrb.min1,Pvrb.min]max<Power value P of all-vanadium redox flow batteryvrb<[Pvrb.max1,Pvrb.max]minWhen the power value of the flow battery can meet the requirement, P is2(t)=Pvrb(t), the power value P of the lithium iron phosphate batteryli(t)=P-P2(t), then correcting the SOC capacity of the battery, and finally outputting the output power P of the lithium iron phosphate battery3(t)。
8. The hybrid energy storage system for stabilizing wind power fluctuations of claim 5, wherein:
when the power value P of the all-vanadium redox flow batteryvrb<[Pvrb.min1,Pvrb.min]maxWhen the power value of the all-vanadium redox flow battery is output according to the minimum value, P is2(t)=[Pvrb.min1,Pvrb.min]maxThe power value P of the lithium iron phosphate batteryli(t)=P-P2(t), then correcting the SOC capacity of the battery, and finally outputting the output power P of the lithium iron phosphate battery3(t)。
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010107953.3A CN111431190A (en) | 2020-02-21 | 2020-02-21 | Multiple hybrid energy storage system for stabilizing wind power fluctuation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010107953.3A CN111431190A (en) | 2020-02-21 | 2020-02-21 | Multiple hybrid energy storage system for stabilizing wind power fluctuation |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111431190A true CN111431190A (en) | 2020-07-17 |
Family
ID=71547131
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010107953.3A Pending CN111431190A (en) | 2020-02-21 | 2020-02-21 | Multiple hybrid energy storage system for stabilizing wind power fluctuation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111431190A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113054683A (en) * | 2021-03-29 | 2021-06-29 | 福州大学 | Hybrid energy storage system optimization method based on standby energy storage element and secondary entropy value |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102368625A (en) * | 2011-10-10 | 2012-03-07 | 南方电网科学研究院有限责任公司 | Control method of cell energy storage system inhibiting renewable energy output power fluctuation |
CN103199556A (en) * | 2013-02-25 | 2013-07-10 | 中国电力科学研究院 | Microgrid energy management method and system thereof |
CN103595068A (en) * | 2013-11-13 | 2014-02-19 | 国家电网公司 | Control method for stabilizing wind and light output power fluctuation through hybrid energy storage system |
CN104158202A (en) * | 2014-08-08 | 2014-11-19 | 东南大学 | Hybrid energy storage leveling wind power fluctuation system and coordination control method thereof |
CN104578121A (en) * | 2014-12-22 | 2015-04-29 | 国家电网公司 | Method and system for distributing power of hybrid energy storage systems |
-
2020
- 2020-02-21 CN CN202010107953.3A patent/CN111431190A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102368625A (en) * | 2011-10-10 | 2012-03-07 | 南方电网科学研究院有限责任公司 | Control method of cell energy storage system inhibiting renewable energy output power fluctuation |
CN103199556A (en) * | 2013-02-25 | 2013-07-10 | 中国电力科学研究院 | Microgrid energy management method and system thereof |
CN103595068A (en) * | 2013-11-13 | 2014-02-19 | 国家电网公司 | Control method for stabilizing wind and light output power fluctuation through hybrid energy storage system |
CN104158202A (en) * | 2014-08-08 | 2014-11-19 | 东南大学 | Hybrid energy storage leveling wind power fluctuation system and coordination control method thereof |
CN104578121A (en) * | 2014-12-22 | 2015-04-29 | 国家电网公司 | Method and system for distributing power of hybrid energy storage systems |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113054683A (en) * | 2021-03-29 | 2021-06-29 | 福州大学 | Hybrid energy storage system optimization method based on standby energy storage element and secondary entropy value |
CN113054683B (en) * | 2021-03-29 | 2022-08-12 | 福州大学 | Hybrid energy storage system optimization method based on standby energy storage element and secondary entropy value |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107947231B (en) | Hybrid energy storage system control method for optimized operation of power distribution network | |
CN103956758B (en) | Energy storage SOC optimal control method in a kind of wind storage system | |
CN105406520B (en) | Independent micro-capacitance sensor economic load dispatching optimization method based on dual master control dynamic cooperative | |
CN107196316B (en) | Multi-stage reactive voltage coordination control method in active power distribution network | |
CN108767872B (en) | Fuzzy control method applied to wind-solar hybrid energy storage micro-grid system | |
CN105226694B (en) | The smooth generation of electricity by new energy control method of energy storage based on fuzzy empirical mode decomposition | |
CN111900745A (en) | Hybrid energy storage frequency division coordination control system for stabilizing wind power fluctuation | |
CN104795830B (en) | The control method that a kind of utilization polymorphic type energy-storage system tracking generation schedule is exerted oneself | |
CN110336304A (en) | A kind of double-fed fan motor unit primary frequency modulation method based on Variable power point tracking and ultracapacitor energy storage coordinated control | |
CN114336678A (en) | PMU-based wind and light storage station primary frequency modulation control method | |
CN111509738A (en) | Method and system for power of electric heating micro-grid source charge storage collaborative smooth tie line | |
CN113452054A (en) | Power optimization control method and control device of battery energy storage system | |
CN112086975A (en) | Optimal scheduling method for coordinating multiple energy storage units to participate in secondary frequency modulation | |
CN114243760A (en) | Photovoltaic energy storage coordination configuration method suitable for power distribution network | |
CN111431190A (en) | Multiple hybrid energy storage system for stabilizing wind power fluctuation | |
Behera et al. | Coordinated power management of a laboratory scale wind energy assisted lvdc microgrid with hybrid energy storage system | |
Xu et al. | Decentralized primary frequency regulation control strategy for vehicle-to-grid | |
CN112583020B (en) | Two-stage voltage control method for low-voltage distribution network | |
CN114301083A (en) | Photovoltaic micro-grid hybrid energy storage system based on fuzzy control | |
CN110011334A (en) | A kind of auto-adjustment control method and system for overcritical thermal power generation unit | |
CN116565964B (en) | Direct current bus control system under all working conditions of household light storage system | |
CN108233413A (en) | A kind of wind-light storage generates electricity by way of merging two or more grid systems intelligence control system and its control method | |
CN110350579B (en) | Multi-energy-storage-battery operation model capable of achieving smooth photovoltaic output | |
Chen et al. | Parabolic Rule Variable Filtering Time Constant Demand Response Method Considering SOC State of Wind Power Storage | |
Yang et al. | Fuzzy control strategy of energy storage for wind-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 |