CN107147135A - A kind of method and system for stabilizing microgrid power swing - Google Patents
A kind of method and system for stabilizing microgrid power swing Download PDFInfo
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- CN107147135A CN107147135A CN201710593403.5A CN201710593403A CN107147135A CN 107147135 A CN107147135 A CN 107147135A CN 201710593403 A CN201710593403 A CN 201710593403A CN 107147135 A CN107147135 A CN 107147135A
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- 238000000034 method Methods 0.000 title claims abstract description 47
- 230000000087 stabilizing effect Effects 0.000 title claims abstract description 15
- 238000007599 discharging Methods 0.000 claims abstract description 55
- 239000003990 capacitor Substances 0.000 claims abstract description 49
- 238000004146 energy storage Methods 0.000 claims abstract description 42
- 230000005611 electricity Effects 0.000 claims description 29
- 238000001914 filtration Methods 0.000 claims description 21
- 238000004364 calculation method Methods 0.000 claims description 8
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- 238000002156 mixing Methods 0.000 claims description 3
- 230000001629 suppression Effects 0.000 claims 1
- 238000004804 winding Methods 0.000 claims 1
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 abstract description 23
- 229910052744 lithium Inorganic materials 0.000 abstract description 23
- 230000008859 change Effects 0.000 description 9
- 238000010248 power generation Methods 0.000 description 8
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- 238000013473 artificial intelligence Methods 0.000 description 4
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- 230000033228 biological regulation Effects 0.000 description 3
- 230000015556 catabolic process Effects 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 238000006731 degradation reaction Methods 0.000 description 3
- 238000010801 machine learning Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 description 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—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
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- H02J3/382—
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- 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
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a kind of method and system for stabilizing microgrid power swing, this method obtains the compensation rate of distribution type renewable energy generated output, interconnection node power, the discharge and recharge time of every piece of battery, the charging or discharging current of every piece of battery and battery charge levels first;Then according to discharge and recharge time, charging or discharging current and compensation rate, the quantity of electric charge of every piece of battery of current time is calculated;The quantity of electric charge, interconnection node power, distribution type renewable energy generated output further according to every piece of battery of current time, calculate every piece of battery input/output power and super capacitor input/output power, and then determine mixed energy storage system reality output/input power.Therefore the method or system provided using the present invention, the quantity of electric charge of lithium battery in mixed energy storage system, the size of the actual charge-discharge energy of Accurate Prediction mixed energy storage system can be obtained in real time, and then accurately and effectively stabilize the power swing in microgrid.
Description
Technical field
The present invention relates to power domain, more particularly to a kind of method and system for stabilizing microgrid power swing.
Background technology
Micro-capacitance sensor is also referred to as microgrid, refers to by distributed power source, energy storage device, energy conversion device, load, monitoring and protects
The small-sized electric system of the compositions such as protection unit.Interconnection refers to that connection is played between power network power plant (being transported to electric system) makees
Special wire, that is to say, that the electric energy that power plant (being transported to electric system) sends can be sent to by it among power network,
Electric energy on power network can also be transferred back to power plant (being transported to electric system).
With the development of new energy technology, a large amount of distribution type renewable energies such as wind energy and solar energy can be by grid-connected inverse
Become device to be converted into meeting in desired electric energy access microgrid.But distribution type renewable energy is intermittent due to active power output, hold
It is easily caused microgrid power unstable, and then causes interconnection node power to produce fluctuation.In order to maintain microgrid internal loading with can be again
Microgrid power-balance is, it is necessary to increase energy-storage units to provide energy snubber during raw energy change.Both combining inverter can succeed
The key of simulation synchronous generator is the energy-storage units for whether configuring sustainable ability of regulation and control.By lithium battery and ultracapacitor
The mixed energy storage system (Hybrid Energy Storage System, abbreviation HESS) of composition has response quickly, gulped down in short-term
The strong advantage of power capability is told, be can be very good as there is provided energy with the energy-storage units of sustainable ability of regulation and control in microgrid
Buffering, stabilizes microgrid power swing.But, current mixed energy storage system fails to fully take into account the real-time of lithium battery charge state
Update, lead to not the size of the actual charge-discharge energy of Accurate Prediction mixed energy storage system, and then can not accurately and effectively stabilize
Power swing in microgrid.
The content of the invention
, being capable of real-time update mixing storage it is an object of the invention to provide a kind of method and system for stabilizing microgrid power swing
Lithium battery charge state in energy system, the size of the actual charge-discharge energy of Accurate Prediction mixed energy storage system, and then accurate and effective
The power swing stabilized in microgrid.
To achieve the above object, the invention provides following scheme:
A kind of method for stabilizing microgrid power swing, methods described includes:
Obtain distribution type renewable energy generated output and interconnection node power;
The discharge and recharge time of every piece of battery of acquisition and the charging or discharging current of every piece of battery;
Obtain the compensation rate of battery charge levels;The compensation rate includes efficiency compensation amount and self discharge compensation rate;
According to the discharge and recharge time, the charging or discharging current and the compensation rate, every piece of battery of current time is calculated
The quantity of electric charge;
According to the quantity of electric charge, the interconnection node power, the distributed type renewable of described every piece of battery of current time
Energy generated output, calculates every piece of battery reality output/input power and super capacitor reality output/input power.
Optionally, methods described also includes:
According to the every piece of battery reality output/input power and super capacitor reality output/input power, calculate
Mixed energy storage system reality output/input power;
According to the mixed energy storage system reality output/input power, microgrid power swing is stabilized.
Optionally, the compensation rate for obtaining battery charge levels, is specifically included:
Obtain the factor of influence battery charge levels;The factor include ambient temperature value, charging and discharging currents multiplying power and from
Discharge electricity amount;
According to the factor, the compensation rate of battery charge levels is obtained.
Optionally, it is described according to the factor, the compensation rate of battery charge levels is obtained, is specifically included:
Obtain multigroup factor data;The ambient temperature value of factor data described in every group including synchronization, described fill
Discharge current multiplying power and the self discharge electricity;
Function Fitting is carried out to the ambient temperature value in factor data described in each group, the charging and discharging currents multiplying power,
Obtain on the environment temperature, the charging and discharging currents multiplying power and the relational expression of the efficiency for charge-discharge;
According to the relational expression, last moment ambient temperature value, last moment charging and discharging currents multiplying power, current time is predicted
Efficiency for charge-discharge compensation rate;
Self discharge electricity and formula Q in the factor data according to each groupSelf discharge=λ h (1),
Obtain the self discharge compensation rate of battery charge levels;Q wherein in formula (1)Self dischargeRepresent the self-discharge of battery quantity of electric charge;λ tables
Show battery standing unit interval self discharge amount;H represents the battery standing time.
Optionally, it is described according to the discharge and recharge time, the charging or discharging current and the compensation rate, calculate current time
The quantity of electric charge of every piece of battery, is specifically included:The quantity of electric charge of every piece of battery of current time is determined according to below equation:
Wherein, Q represents current time battery charge levels, Q0Last moment battery charge levels are represented, η represents current time discharge and recharge
Efficiency compensation amount, I represents battery charging and discharging stream, and t represents the battery charging and discharging time, and λ represents the self discharge of battery standing unit interval
Amount;H represents the battery standing time ,+,-battery correspondence charging and discharging process is represented respectively.
Optionally, it is described according to the quantity of electric charge of described every piece of battery of current time, the interconnection node power, described point
Cloth renewable energy power generation power, calculates every piece of battery reality output/input power and super capacitor reality output/input work
Rate, is specifically included:
According to the interconnection node power and the distribution type renewable energy generated output, determine that super capacitor is filtered
Time;
It is fertile using single order Bart according to the distribution type renewable energy generated output and the super capacitor filtering time
Hereby low pass filter, calculates interconnection desired value of node power;The expression formula of the single order Butterworth lowpass filters
Forτ represents the filtering time of single order Butterworth lowpass filters;The interconnection node power
Expression formula be PL=PDG+PSC+PB(4), PLRepresent interconnection node power, PDGRepresent distribution type renewable energy generating work(
Rate, PSCRepresent super capacitor input/output power, PBRepresent battery input/output power;Wherein, P is worked asLDuring more than zero, represent
Microgrid discharges to power network;Work as PLDuring less than zero, represent that power network discharges to microgrid, super capacitor and battery are charged state;It is described
The calculation formula of desired value of interconnection node power isτSCRepresent super capacitor
Filtering time;
Described desired value of interconnection node power is made the difference with the distribution type renewable energy generated output, obtained
Super capacitor reality output/the input power;The expression formula of the super capacitor reality output/input power is
According to the super capacitor reality output/input power, battery filtering time is determined;
It is fertile hereby low using single order Bart according to described desired value of interconnection node power and the battery filtering time
Bandpass filter, calculates the secondary desired value of interconnection node power;The calculation formula of the secondary desired value of interconnection node power
ForτBRepresent the filtering time of battery;
According to the quantity of electric charge of every piece of battery of the secondary desired value of interconnection node power and the current time, calculate every
Block battery reality output/input power.
Optionally, the electricity according to every piece of battery of the secondary desired value of interconnection node power and the current time
Lotus amount, calculates every piece of battery reality output/input power, specifically includes:
Described desired value of interconnection node power and the secondary desired value of interconnection node power are done
Difference, obtains the battery reality output/input power;The expression formula of the battery reality output/input power is
According to the quantity of electric charge of every piece of battery of the actual battery input/output power and the current time, every piece is obtained
The actual discharge and recharge time of battery;
According to the actual discharge and recharge time of every piece of battery, every piece of battery reality output/input power is calculated.
Present invention also offers a kind of system for stabilizing microgrid power swing, the system includes:
First acquisition module, for obtaining distribution type renewable energy generated output and interconnection node power;
Second acquisition module, for obtaining the discharge and recharge time of every piece of battery and the charging or discharging current of every piece of battery;
3rd acquisition module, the compensation rate for obtaining battery charge levels;The compensation rate is including efficiency compensation amount and certainly
Discharging compensation amount;
First computing module, for according to the discharge and recharge time, the charging or discharging current and the compensation rate, calculating and working as
The quantity of electric charge of preceding every piece of battery of moment;
Second computing module, for the quantity of electric charge according to described every piece of battery of current time, the interconnection node power,
The distribution type renewable energy generated output, every piece of battery reality output/input power of calculating and super capacitor reality output/
Input power.
Optionally, the system also includes:
3rd computing module, for actual according to the every piece of battery reality output/input power and the super capacitor
Input/output power, calculates mixed energy storage system reality output/input power;
Module is stabilized, for according to the mixed energy storage system reality output/input power, being carried out to microgrid power swing
Stabilize.
Optionally, the 3rd acquisition module, is specifically included:
First acquisition unit, the factor for obtaining influence battery charge levels;The factor includes ambient temperature value, charge and discharge
Electric current ratio and self discharge electricity;
Second acquisition unit, for according to the factor, obtaining the compensation rate of battery charge levels.
The specific embodiment provided according to the present invention, the invention discloses following technique effect:The invention provides one kind
The method and system of microgrid power swing are stabilized, methods described obtains distribution type renewable energy generated output, interconnection first
Node power, the discharge and recharge time of every piece of battery, the compensation rate of the charging or discharging current of every piece of battery and battery charge levels;Institute
Stating compensation rate includes efficiency compensation amount and self discharge compensation rate;Then according to the discharge and recharge time, the charging or discharging current and
The compensation rate, calculate every piece of battery of current time the quantity of electric charge, furthermore according to the quantity of electric charge of described every piece of battery of current time,
The interconnection node power, the distribution type renewable energy generated output, calculate every piece of battery input/output power and super
Level electric capacity input/output power is accurate to obtain mixed energy storage system reality output/input power.Therefore using present invention offer
Method or system, the lithium battery quantity of electric charge in mixed energy storage system can be obtained in real time, Accurate Prediction mixed energy storage system is real
The size of border charge-discharge energy, and then accurately and effectively stabilize the power swing in microgrid.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention
Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these accompanying drawings
Obtain other accompanying drawings.
Fig. 1 is the schematic flow sheet that the embodiment of the present invention stabilizes microgrid power swing method;
Fig. 2 is SOC value of battery of the embodiment of the present invention and battery charging and discharging time chart;
Fig. 3 is the structure chart for stabilizing microgrid power swing method;
Fig. 4 is the structural representation that the embodiment of the present invention stabilizes microgrid power swing system.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
, being capable of real-time update mixing storage it is an object of the invention to provide a kind of method and system for stabilizing microgrid power swing
Lithium battery charge state in energy system, the size of the actual charge-discharge energy of Accurate Prediction mixed energy storage system, and then accurate and effective
The power swing stabilized in microgrid.
In order to facilitate the understanding of the purposes, features and advantages of the present invention, it is below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is further detailed explanation.
To achieve these goals, solution of the invention is:Single order Butterworth lowpass filters are used first, will
The distributed power generation active power signal P of changeDGA series of isolated lithium after different time constant filters and computings
Battery and ultracapacitor power output reference value, according to power swing size selection energy storage mode.The stored energy capacitance of lithium battery
Determine that it is adapted to stabilize small-power fluctuation with charge/discharge rates, super capacitor, can be more due to high power density and response speed
The good high-power fluctuation of reply.
The present invention introduces the calculating that self study artificial intelligence approach improves state-of-charge on the basis of conventional smooth control
Precision, increases and decreases lithium battery input-output power, adjusts smooth control parameter using the charge state feedback value of battery, in real time regulation
The input-output power of mixed energy storage system.
Autonomous learning artificial intelligence approach is a kind of machine learning method of iterative learning, based on charge state feedback from
Learn smooth energy storage control and consider cell degradation, conversion efficiency and self discharge problem after battery access times increase.
Embodiment one
Fig. 1 is the schematic flow sheet that the embodiment of the present invention stabilizes microgrid power swing method, as shown in figure 1, the present invention is carried
The microgrid power swing method of stabilizing supplied specifically includes following steps:
Step 101:Obtain distribution type renewable energy generated output and interconnection node power;
Step 102:The discharge and recharge time of every piece of battery of acquisition and the charging or discharging current of every piece of battery;
Step 103:Obtain the compensation rate of battery charge levels;The compensation rate includes efficiency compensation amount and self discharge is compensated
Amount;
Step 104:According to the discharge and recharge time, the charging or discharging current and the compensation rate, current time is calculated every
The quantity of electric charge of block battery;
Step 105:According to the quantity of electric charge, the interconnection node power, the distribution of described every piece of battery of current time
Formula renewable energy power generation power, calculates every piece of battery reality output/input power and super capacitor reality output/input work
Rate;
Step 106:According to the every piece of battery reality output/input power and super capacitor reality output/input
Power, calculates mixed energy storage system reality output/input power;
Step 107:According to the mixed energy storage system reality output/input power, microgrid power swing is stabilized.
Wherein, step 102 is specifically included:
In the case where not considering the characteristics such as battery efficiency and cell degradation temporarily, integrated and calculated using ampere-hour
Method, calculates the capacity consumed during battery use.The capacity that now battery is consumed in use is the discharge and recharge of battery
The accumulation of the discharge and recharge time of stream and battery.Accordingly, it would be desirable to obtain every piece of battery the discharge and recharge time and every piece of battery
Charging or discharging current, and then obtain the capacity that consumes in use of battery.
In view of battery in charge and discharge process, electricity can become with ambient temperature and charging or discharging current multiplying power
Change, when discharge and recharge increased frequency, cell degradation can also reduce the factors such as the electricity of storage, and the present invention is artificial using autonomous learning
Intelligent method, compensation is converted into by the factor (environment temperature, charging or discharging current multiplying power, self discharge electricity) for influenceing battery power amount calculation
Amount, with the Function Fitting factor and the curved line relation of electricity, constantly once learns the influence factor at moment, concludes adjustment and work as before contrast
The battery charging and discharging charge value at preceding moment.Introduced in traditional ampere-hour integration method after self study compensation rate, after being improved
SOC methods are predicted in self study, improve the control rule of battery system.
SOC, full name is StateofCharge, state-of-charge, is also dump energy, representative be that battery uses one section when
Between or it is long-term lie idle after residual capacity and the ratio of the capacity of its fully charged state, conventional percentage represents.It takes
It is 0~1 to be worth scope, represents that battery discharge completely, represents that battery is completely filled with as SOC=1 as SOC=0.
Self study compensation rate includes self discharge compensation rate, efficiency compensation amount.Self discharge compensation rate is that balancing battery stands one
The electricity of section time automatic reduction.Efficiency compensation amount is that compensation environment temperature, conversion efficiency caused by charging and discharging currents multiplying power change
The energy loss of change.
Step 103 is specifically included:
Step 1031:Obtain the factor of influence battery charge levels;The factor includes ambient temperature value, charging and discharging currents times
Rate and self discharge electricity;
Step 1032:According to the factor, the compensation rate of battery charge levels is obtained;Specifically include:
Obtain multigroup factor data;The ambient temperature value of factor data described in every group including synchronization, described fill
Discharge current multiplying power and the self discharge electricity;
Function Fitting is carried out to the ambient temperature value in factor data described in each group, the charging and discharging currents multiplying power,
Obtain on the environment temperature, the charging and discharging currents multiplying power and the relational expression of the efficiency for charge-discharge;
According to the relational expression, last moment ambient temperature value, last moment charging and discharging currents multiplying power, current time is predicted
Efficiency for charge-discharge compensation rate.
Illustrate to predict current time charge and discharge using autonomous learning artificial intelligence approach below by a specific embodiment
The process of electrical efficiency compensation rate.
The lithium battery for choosing one piece of 2600mAh, 3.7V is tested under different temperatures and different charge-discharge magnifications, is drawn
Data such as table 1 between ambient temperature value, charge-discharge magnification and efficiency for charge-discharge.According to the data in table 1, choose [0,0.2,
0.9313]、[0,0.5,0.8635]、[0,1,0.8318]、[20,0.2,0.9464]、[20,0.5,0.9156]、[20,1,
0.8865], [40,0.2,0.9590], [40,0.5,0.9231], [40,1,0.8987] nine groups of data, use letter in MATLAB
Number realizes the fitting of three-dimensional curve.Z is made to represent efficiency for charge-discharge, x represents ambient temperature value, and y represents charging and discharging currents multiplying power, then
Function representation is:
Z=-3.733e-5*x^2+0.001137*x*y+0.002134*x+0.1158*y^2-0.253 3*y+0.9692
(9)
Table 1 is the battery efficiency under varying environment temperature value and different charging and discharging currents multiplying powers
When ambient temperature value and charging and discharging currents multiplying power change, battery efficiency also respective change collects new
Again new functional relation is fitted after data group.During more than, the change of ambient temperature value and charging and discharging currents multiplying power
Efficiency compensation amount caused by changing then can constantly self-renewing and perfect, the i.e. process of self study computing.
Self discharge electricity and formula Q in the factor data according to each groupSelf discharge=λ h (1), obtain battery charge levels
Self discharge compensation rate;Q wherein in formula (1)Self dischargeRepresent the self-discharge of battery quantity of electric charge;λ represents the battery standing unit interval
Self discharge amount;H represents the battery standing time.
Step 104 is specifically included:
The quantity of electric charge of every piece of battery of current time is determined according to formula (2):Wherein,
Q represents current time battery charge levels, Q0Last moment battery charge levels are represented, η represents that current time efficiency for charge-discharge is compensated
Amount, I represents battery charging and discharging stream, and t represents the battery charging and discharging time, and λ represents battery standing unit interval self discharge amount;H is represented
The battery standing time ,+,-battery correspondence charging and discharging process is represented respectively.
It can reach that frequency dividing stabilizes power swing according to lithium battery is different from the time constant filter of ultracapacitor
Effect, time constant filter is bigger, and the frequency range that hybrid energy-storing can be compensated is bigger, subsequent time hybrid energy-storing power output
Also it is bigger.The stored energy capacitance and charge/discharge rates of lithium battery determine that it is adapted to stabilize small-power fluctuation, super capacitor due to
High power density and response speed can preferably tackle high-power fluctuation.The mixed energy storage system that the present invention is used is direct current side joint
Enter the system containing distributed new, the output of mixed energy storage system power is adjusted according to the change of power on dc bus, will
The distributed power generation active power signal P changed in virtual synchronous generatorDGObtained after LPF and a series of computings
The power output reference value of lithium battery and ultracapacitor.The time constant filter of lithium battery and super capacitor is controlled, it is filtered
The power signal of device output smoothing, reaches that lithium battery stabilizes low frequency power and super capacitor stabilizes the effect of high frequency power.Due to
Both energy storage characteristic difference, the time constant filter of general lithium battery is more than the time constant filter of super capacitor.
Step 105 is specifically included:
Step 1051:According to the interconnection node power and the distribution type renewable energy generated output, it is determined that super
Level capacitance filtering time.
Step 1052:According to the distribution type renewable energy generated output and the super capacitor filtering time, use
Single order Butterworth lowpass filters, calculate interconnection desired value of node power.The single order Butterworth lowpass ripple
The expression formula of device isτ represents the filtering time of single order Butterworth lowpass filters.The contact
The expression formula of line node power is PL=PDG+PSC+PB(4), PLRepresent interconnection node power, PDGRepresent distributed type renewable
Energy generated output, PSCRepresent super capacitor input/output power, PBRepresent battery input/output power.Wherein, P is worked asLGreatly
When zero, represent that microgrid discharges to power network;Work as PLDuring less than zero, represent that power network discharges to microgrid, super capacitor and battery are to fill
Electricity condition.The calculation formula of desired value of interconnection node power isτSC
Represent the filtering time of super capacitor.
Step 1053:By described desired value of interconnection node power and the distribution type renewable energy generated output
Make the difference, obtain the super capacitor reality output/input power;The expression formula of the super capacitor reality output/input power
For
Step 1054:According to the super capacitor reality output/input power, battery filtering time is determined.
It is fertile hereby low using single order Bart according to described desired value of interconnection node power and the battery filtering time
Bandpass filter, calculates the secondary desired value of interconnection node power;The calculation formula of the secondary desired value of interconnection node power
ForτBRepresent the filtering time of battery.
Step 1055:According to the electric charge of every piece of battery of the secondary desired value of interconnection node power and the current time
Amount, calculates every piece of battery reality output/input power;Specifically include:
Described desired value of interconnection node power and the secondary desired value of interconnection node power are done
Difference, obtains the battery reality output/input power;The expression formula of the battery reality output/input power is
According to the quantity of electric charge of every piece of battery of the actual battery input/output power and the current time, every piece is obtained
The actual discharge and recharge time of battery;
According to the actual discharge and recharge time of every piece of battery, every piece of battery reality output/input power is calculated.
In order to prevent battery because super-charge super-discharge reduces the life-span, it is necessary to according to different SOC value of battery, adjust the reality of every piece of battery
The border discharge and recharge time.
Fig. 2 is SOC value of battery of the embodiment of the present invention and battery charging and discharging time chart, as shown in Fig. 2 working as battery SOC
Value is in (SOCmin, SOCmax) battery be located at normal region, can not only charge but also can discharge.When SOC value of battery is (0, SOCmin)
Battery is located at fill more and puts region less, and battery, which is tried one's best, simply to charge.When SOC value of battery is in (SOCmax, 1) and battery is located at and fills put more less
Region, battery, which is tried one's best, simply to discharge.
Embodiment two
Fig. 3 is the structure chart for stabilizing microgrid power swing method, as shown in figure 3, it is provided in an embodiment of the present invention stabilize it is micro-
The method of net power swing includes ampere-hour integral element 301, self study compensation rate link 302, self study operation link 303, flat
Sliding controlling unit 304, LPF link 305 and mixed energy storage system input and output link 306.Wherein, the P in Fig. 3DGTable
Show distributed power generation active power signal, τ represents time constant, PDG_refRepresent distributed power generation active power signal through too low
Output signal after bandpass filter;PHESS_refRepresent the active power signal of mixed energy storage system input and output.
The ampere-hour integral element 301, for integrating electric and load effect time, calculates consumption during battery use
Capacity, be connected with self study operation link.
The self study compensation rate link 302, is compensation rate by the factor converting of battery power amount calculation is influenceed, including put certainly
Electronic compensating amount, efficiency compensation amount.
The self study operation link 303, respectively with the ampere-hour integral element 301, the self study compensation rate link
302 are connected, and once the factor of influence at study moment concludes tune before the machine learning method for using iterative learning, constantly contrast
Whole, prediction is when the charge value of previous moment, and autonomous conclude updates battery information.
The smooth controlling unit 304, is connected with the self study operation link 303, for according to self study computing ring
Section Accurate Prediction goes out the SOC of lithium battery, and control time constant isolates lithium battery and ultracapacitor power swing frequency range.
The LPF link 305, is connected with the smooth controlling unit 304, for by virtual synchronous generator
The distributed power generation active power signal P of changeDGBattery input-output power reference value is obtained after low pass filter and super
Level electric capacity input-output power reference value.
The mixed energy storage system input and output link 306, is connected with the LPF link 305, for by battery
Input-output power reference value is added with super capacitor input-output power reference value, obtains the power output of mixed energy storage system
Reference value, is finally reached that lithium battery stabilizes low frequency power and super capacitor stabilizes the optimum efficiency of high frequency power.
Wherein, using single order Butterworth lowpass filters, the distributed power generation changed in virtual synchronous generator is had
Work(power signal PDGA series of timeconstantτ after LPF and computingsSCAfter obtain super capacitor power output target
Value, with PDGSuper capacitor power output reference value P is obtained after subtracting each otherSC_ref, PDGWith PSC_refSum is normal by the LPF time
Number τBatAfter obtain lithium battery power output desired value, then do subtraction with the value before filtering and obtain the reference of lithium battery power output
Value PBat_ref, physical relationship is as follows:
Autonomous learning artificial intelligence mechanism is a kind of machine learning method of iterative learning, and self study computing is exactly will be to electricity
Pond electricity calculate it is factor converting be compensation rate, be reacted to then can be by efficiency for charge-discharge η of general performance in calculating accurately count
Calculate.Assuming that UkFor systematic parameter kth time learning value, SkDuring for kth time study and UkThe quantity of state of association, then by once changing
For the rear subsystem of kth+1 parameter such as formula (10).Efficiency for charge-discharge is exactly above-mentioned UkParameter, ambient temperature value and discharge and recharge times
Rate is above-mentioned SkQuantity of state.
With Function Fitting ambient temperature value and the curved line relation of charge-discharge magnification and efficiency for charge-discharge, so as to constantly contrast
The factor of influence at preceding once study moment concludes adjustment when the efficiency for charge-discharge of previous moment, improves the control rule of battery system
Then, the control accuracy of battery management system is improved.While battery standing can occur self-discharge phenomenon and cause electricity for a period of time
Loss, is also required to consider this part of electric energy in calculating formula.To sum up self study ampere-hour integrates SOC operation tables under charge status
Up to formula such as formula (2), wherein determining that efficiency for charge-discharge is to influence the key of accuracy in computation.
UK+1=F (UK,SK) (10)
Wherein, Q represents current time battery charge levels, Q0Last moment battery charge levels are represented, η represents preceding moment charge and discharge
Electrical efficiency compensation rate, I represents battery charging and discharging stream, and t represents the battery charging and discharging time, and λ represents that the battery standing unit interval puts certainly
Electricity;H represents the battery standing time ,+,-battery correspondence charging and discharging process is represented respectively.
Embodiment three
To achieve these goals, present invention also offers a kind of system for stabilizing microgrid power swing.
Fig. 4 is the structural representation that the embodiment of the present invention stabilizes microgrid power swing system, as shown in figure 4, the system
Including:
First acquisition module 401, for obtaining distribution type renewable energy generated output and interconnection node power;
Second acquisition module 402, for obtaining the discharge and recharge time of every piece of battery and the discharge and recharge of every piece of battery
Stream;
3rd acquisition module 403, the compensation rate for obtaining battery charge levels;The compensation rate include efficiency compensation amount and
Self discharge compensation rate;
First computing module 404, for according to the discharge and recharge time, the charging or discharging current and the compensation rate, meter
Calculate the quantity of electric charge of every piece of battery of current time;
Second computing module 405, for the quantity of electric charge according to described every piece of battery of current time, the interconnection node work(
Rate, the distribution type renewable energy generated output, calculate every piece of battery reality output/input power and super capacitor is actually defeated
Go out/input power.
3rd computing module 406, for real according to the every piece of battery reality output/input power and the super capacitor
Border input/output power, calculates mixed energy storage system reality output/input power;
Module 407 is stabilized, for according to the mixed energy storage system reality output/input power, to microgrid power swing
Stabilized.
Wherein, the 3rd acquisition module 403, is specifically included:
First acquisition unit, the factor for obtaining influence battery charge levels;The factor includes ambient temperature value, charge and discharge
Electric current ratio and self discharge electricity;
Second acquisition unit, for according to the factor, obtaining the compensation rate of battery charge levels.
By the way that the invention provides a kind of method and system for stabilizing microgrid power swing, distributed type renewable is obtained first
Energy generated output, interconnection node power, the discharge and recharge time of every piece of battery, the charging or discharging current and electricity of every piece of battery
The compensation rate of the pond quantity of electric charge;The compensation rate includes efficiency compensation amount and self discharge compensation rate;When then according to the discharge and recharge
Between, the charging or discharging current and the compensation rate, calculate the quantity of electric charge of every piece of battery of current time, furthermore according to it is described current when
The quantity of electric charge, the interconnection node power, the distribution type renewable energy generated output of every piece of battery are carved, every block of electricity is calculated
Pond input/output power and super capacitor input/output power are accurate to obtain mixed energy storage system reality output/input power.
Therefore the method or system provided using the present invention, the lithium battery quantity of electric charge in mixed energy storage system can be obtained in real time, accurately
The size of the actual charge-discharge energy of mixed energy storage system is predicted, and then accurately and effectively stabilizes the power swing in microgrid.
Wherein, according to power swing size selection energy storage mode, the stored energy capacitance and charge/discharge rates of lithium battery are determined
It is adapted to stabilize small-power fluctuation, and super capacitor can preferably tackle high-power fluctuation due to high power density and response speed;
The embodiment of each in this specification is described by the way of progressive, and what each embodiment was stressed is and other
Between the difference of embodiment, each embodiment identical similar portion mutually referring to.For system disclosed in embodiment
For, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is said referring to method part
It is bright.
Specific case used herein is set forth to the principle and embodiment of the present invention, and above example is said
The bright method and its core concept for being only intended to help to understand the present invention;Simultaneously for those of ordinary skill in the art, foundation
The thought of the present invention, will change in specific embodiments and applications.In summary, this specification content is not
It is interpreted as limitation of the present invention.
Claims (10)
1. a kind of method for stabilizing microgrid power swing, it is characterised in that methods described includes:
Obtain distribution type renewable energy generated output and interconnection node power;
The discharge and recharge time of every piece of battery of acquisition and the charging or discharging current of every piece of battery;
Obtain the compensation rate of battery charge levels;The compensation rate includes efficiency compensation amount and self discharge compensation rate;
According to the discharge and recharge time, the charging or discharging current and the compensation rate, the electric charge of every piece of battery of current time is calculated
Amount;
According to the quantity of electric charge, the interconnection node power, the distribution type renewable energy of described every piece of battery of current time
Generated output, calculates every piece of battery reality output/input power and super capacitor reality output/input power.
2. according to the method described in claim 1, it is characterised in that methods described also includes:
According to the every piece of battery reality output/input power and super capacitor reality output/input power, mixing is calculated
Energy-storage system reality output/input power;
According to the mixed energy storage system reality output/input power, microgrid power swing is stabilized.
3. according to the method described in claim 1, it is characterised in that the compensation rate for obtaining battery charge levels, specifically include:
Obtain the factor of influence battery charge levels;The factor includes ambient temperature value, charging and discharging currents multiplying power and self discharge
Electricity;
According to the factor, the compensation rate of battery charge levels is obtained.
4. method according to claim 3, it is characterised in that described according to the factor, obtains the benefit of battery charge levels
The amount of repaying, is specifically included:
Obtain multigroup factor data;Factor data described in every group includes the ambient temperature value of synchronization, the discharge and recharge
Current ratio and the self discharge electricity;
Function Fitting is carried out to the ambient temperature value in factor data described in each group, the charging and discharging currents multiplying power, obtained
On the environment temperature, the charging and discharging currents multiplying power and the relational expression of the efficiency for charge-discharge;
According to the relational expression, last moment ambient temperature value, last moment charging and discharging currents multiplying power, current time charge and discharge is predicted
Electrical efficiency compensation rate;
Self discharge electricity and formula Q in the factor data according to each groupSelf discharge=λ h (1), obtain battery charge levels from
Discharging compensation amount;Q wherein in formula (1)Self dischargeRepresent the self-discharge of battery quantity of electric charge;λ represents that the battery standing unit interval puts certainly
Electricity;H represents the battery standing time.
5. method according to claim 4, it is characterised in that described according to the discharge and recharge time, the charging or discharging current
And the compensation rate, the quantity of electric charge of every piece of battery of current time is calculated, is specifically included:Current time is determined according to below equation
The quantity of electric charge of every piece of battery:Wherein, Q represents current time battery charge levels, Q0In expression
One moment battery charge levels, η represents current time efficiency for charge-discharge compensation rate, and I represents battery charging and discharging stream, and t represents that battery fills
Discharge time, λ represents battery standing unit interval self discharge amount;H represents the battery standing time ,+,-battery correspondence is represented respectively
Charging and discharging process.
6. according to the method described in claim 1, it is characterised in that the electric charge according to described every piece of battery of current time
Amount, the interconnection node power, the distribution type renewable energy generated output, calculate every piece of battery reality output/input
Power and super capacitor reality output/input power, are specifically included:
According to the interconnection node power and the distribution type renewable energy generated output, when determining super capacitor filtering
Between;
It is fertile hereby low using single order Bart according to the distribution type renewable energy generated output and the super capacitor filtering time
Bandpass filter, calculates interconnection desired value of node power;The expression formula of the single order Butterworth lowpass filters isτ represents the filtering time of single order Butterworth lowpass filters;The interconnection node power
Expression formula is PL=PDG+PSC+PB(4), PLRepresent interconnection node power, PDGDistribution type renewable energy generated output is represented,
PSCRepresent super capacitor input/output power, PBRepresent battery input/output power;Wherein, P is worked asLDuring more than zero, represent micro-
Net discharges to power network;Work as PLDuring less than zero, represent that power network discharges to microgrid, super capacitor and battery are charged state;It is described
The calculation formula of desired value of winding thread node power isτSCRepresent super capacitor
Filtering time;
Described desired value of interconnection node power is made the difference with the distribution type renewable energy generated output, institute is obtained
State super capacitor reality output/input power;The expression formula of the super capacitor reality output/input power is
According to the super capacitor reality output/input power, battery filtering time is determined;
According to described desired value of interconnection node power and the battery filtering time, using single order Butterworth lowpass
Ripple device, calculates the secondary desired value of interconnection node power;The calculation formula of the secondary desired value of interconnection node power isτBRepresent the filtering time of battery;
According to the quantity of electric charge of every piece of battery of the secondary desired value of interconnection node power and the current time, every block of electricity is calculated
Pond reality output/input power.
7. method according to claim 6, it is characterised in that described according to the secondary desired value of interconnection node power
With the quantity of electric charge of described every piece of battery of current time, every piece of battery reality output/input power is calculated, is specifically included:
Described desired value of interconnection node power and the secondary desired value of interconnection node power are made the difference, the electricity is obtained
Pond reality output/input power;The expression formula of the battery reality output/input power is
According to the quantity of electric charge of every piece of battery of the actual battery input/output power and the current time, every piece of battery is obtained
The actual discharge and recharge time;
According to the actual discharge and recharge time of every piece of battery, every piece of battery reality output/input power is calculated.
8. a kind of system for stabilizing microgrid power swing, it is characterised in that the system includes:
First acquisition module, for obtaining distribution type renewable energy generated output and interconnection node power;
Second acquisition module, for obtaining the discharge and recharge time of every piece of battery and the charging or discharging current of every piece of battery;
3rd acquisition module, the compensation rate for obtaining battery charge levels;The compensation rate includes efficiency compensation amount and self discharge
Compensation rate;
First computing module, for according to the discharge and recharge time, the charging or discharging current and the compensation rate, when calculating current
Carve the quantity of electric charge of every piece of battery;
Second computing module, for the quantity of electric charge according to described every piece of battery of current time, the interconnection node power, described
Distribution type renewable energy generated output, calculates every piece of battery reality output/input power and super capacitor reality output/input
Power.
9. system according to claim 8, it is characterised in that the system also includes:
3rd computing module, for according to the every piece of battery reality output/input power and the super capacitor reality output/
Input power, calculates mixed energy storage system reality output/input power;
Module is stabilized, for according to the mixed energy storage system reality output/input power, being put down to microgrid power swing
Suppression.
10. method according to claim 8, it is characterised in that the 3rd acquisition module, is specifically included:
First acquisition unit, the factor for obtaining influence battery charge levels;The factor includes ambient temperature value, discharge and recharge electricity
Flow multiplying power and self discharge electricity;
Second acquisition unit, for according to the factor, obtaining the compensation rate of battery charge levels.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108879743A (en) * | 2018-07-18 | 2018-11-23 | 天津津电供电设计所有限公司 | Hybrid energy-storing power distribution method and system |
CN109494771A (en) * | 2018-12-12 | 2019-03-19 | 广东电网有限责任公司电力科学研究院 | New energy power slide control based on the prediction of supercapacitor state-of-charge |
CN110912115A (en) * | 2019-11-21 | 2020-03-24 | 华中科技大学 | Predictive control method and system for stabilizing power fluctuation of hybrid energy storage circuit |
CN112383074A (en) * | 2020-10-28 | 2021-02-19 | 国网四川省电力公司经济技术研究院 | Energy type and power type hybrid energy storage system and energy storage method |
CN115572657A (en) * | 2022-08-31 | 2023-01-06 | 贵州电网有限责任公司 | Electromagnetic type wine roasting boiler control method for stabilizing distributed new energy fluctuation |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102946113A (en) * | 2012-07-26 | 2013-02-27 | 南方电网科学研究院有限责任公司 | Super capacitor terminal voltage control method based on battery and super capacitor |
CN105162153A (en) * | 2015-09-02 | 2015-12-16 | 国网上海市电力公司 | Hybrid energy storage control method |
-
2017
- 2017-07-20 CN CN201710593403.5A patent/CN107147135A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102946113A (en) * | 2012-07-26 | 2013-02-27 | 南方电网科学研究院有限责任公司 | Super capacitor terminal voltage control method based on battery and super capacitor |
CN105162153A (en) * | 2015-09-02 | 2015-12-16 | 国网上海市电力公司 | Hybrid energy storage control method |
Non-Patent Citations (1)
Title |
---|
刘耕丰: "动力电池电压与电流自学习管理控制系统", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108879743A (en) * | 2018-07-18 | 2018-11-23 | 天津津电供电设计所有限公司 | Hybrid energy-storing power distribution method and system |
CN108879743B (en) * | 2018-07-18 | 2021-01-29 | 天津津电供电设计所有限公司 | Hybrid energy storage power distribution method and system |
CN109494771A (en) * | 2018-12-12 | 2019-03-19 | 广东电网有限责任公司电力科学研究院 | New energy power slide control based on the prediction of supercapacitor state-of-charge |
CN109494771B (en) * | 2018-12-12 | 2021-09-14 | 广东电网有限责任公司电力科学研究院 | New energy power smoothing control method based on super capacitor charge state prediction |
CN110912115A (en) * | 2019-11-21 | 2020-03-24 | 华中科技大学 | Predictive control method and system for stabilizing power fluctuation of hybrid energy storage circuit |
CN112383074A (en) * | 2020-10-28 | 2021-02-19 | 国网四川省电力公司经济技术研究院 | Energy type and power type hybrid energy storage system and energy storage method |
CN115572657A (en) * | 2022-08-31 | 2023-01-06 | 贵州电网有限责任公司 | Electromagnetic type wine roasting boiler control method for stabilizing distributed new energy fluctuation |
CN115572657B (en) * | 2022-08-31 | 2023-11-10 | 贵州电网有限责任公司 | Electromagnetic wine baking boiler control method for stabilizing fluctuation of distributed new energy |
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