CN108462212A - A kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source - Google Patents
A kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source Download PDFInfo
- Publication number
- CN108462212A CN108462212A CN201810076455.XA CN201810076455A CN108462212A CN 108462212 A CN108462212 A CN 108462212A CN 201810076455 A CN201810076455 A CN 201810076455A CN 108462212 A CN108462212 A CN 108462212A
- Authority
- CN
- China
- Prior art keywords
- power
- load
- unit
- electricity
- generating set
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 60
- 230000001105 regulatory effect Effects 0.000 title claims abstract description 22
- 230000005611 electricity Effects 0.000 claims abstract description 129
- 238000009825 accumulation Methods 0.000 claims description 38
- 230000002159 abnormal effect Effects 0.000 claims description 24
- 238000004364 calculation method Methods 0.000 claims description 16
- 230000001276 controlling effect Effects 0.000 claims description 16
- 238000004146 energy storage Methods 0.000 claims description 15
- 238000010248 power generation Methods 0.000 claims description 13
- 238000009826 distribution Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 4
- 230000002123 temporal effect Effects 0.000 claims description 4
- 238000010977 unit operation Methods 0.000 claims description 4
- 238000010219 correlation analysis Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 230000000087 stabilizing effect Effects 0.000 abstract description 4
- 238000004870 electrical engineering Methods 0.000 abstract description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 6
- 238000011217 control strategy Methods 0.000 description 4
- 238000005520 cutting process Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000003860 storage Methods 0.000 description 2
- 230000005619 thermoelectricity Effects 0.000 description 2
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000001172 regenerating effect Effects 0.000 description 1
- 238000009987 spinning Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- H02J3/382—
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
Control method that the invention discloses a kind of New-energy power systems under the more regulatory domain methods of operation of multi-source, belongs to electrical engineering active power dispatch control field.The present invention uses a kind of multi-source multiple domain control method, introduces closed loop feedback, control generating set real-time tracking load increment, to ensure that frequency is requiring level.Load (load component of the period of change between 10 seconds to several minutes) is adjusted by tracking, the related coefficient of load and generating set is adjusted in definition, realize effective control to load weight, it balances the ability of stabilizing to power load and electricity generation system, realizes power network safety operation.
Description
Technical field
The invention belongs to electrical engineering active power dispatch control fields, more particularly to a kind of New-energy power system in multi-source
Control method under more regulatory domain methods of operation.
Background technology
The energy storage devices such as the storing up electricity heat accumulation with various energy resources form access the scale and speed of New-energy power system
Continuous fast lifting, fluctuation for the generations of electricity by new energy form such as bulk power grid internal loading change curve and wind-powered electricity generation, photovoltaic and its not
Certainty, traditional single control method have been unable to fully adapt to power grid in different load level and its variation characteristic
Under the conditions of the Various Complex method of operation.
Closed-loop control is applied in grid generation control more, it is intended to reduce the power grid that actual load is brought with prediction load difference
Frequency lifts.Power system frequency be all motor groups of parallel running are sent out in the electric system active power summation with
It balances to maintain between the active power summation of all load consumption (including network loss) in system.But electric system
Load changes constantly, changes so as to cause system frequency.In order to ensure power system frequency within allowable range, protect
It demonstrate,proves generating set to contribute at any time with extraneous power load holding balance, seeks to parallel running unit in timely regulating system
Active power, balance power deviation caused by the variation of load, realizes the FREQUENCY CONTROL of power grid, makes system to load
The existing stronger robustness of random disturbances such as disturbance, and ensure that there is preferable dynamic property.
Prior art research：
The prior art one：《The temperature control load curtailment strategy and probabilistic model of urgent cutting load measure》(electric power network technique 2014
1 phase of volume 38 year) it is brought into temperature control load group as standby resources in conventional emergency cutting load control system, it is proposed that contain
The urgent Emergency Control Strategy of controllable temperature control load, eliminates the substantially oscillation of load group aggregate power in feeder line recovery process.So
And temperature control load is included in mainly as stand-by power source in the load system of urgent cutting load signal, and for being used for a day electricity consumption peak
Paddy is adjusted, and satisfaction stabilizes daily load power demand, there is shortcoming, for the temporal and spatial correlations between generating equipment and power load
Property does not account for.
The prior art two：《Distribution type renewable energy power swing stabilizes strategy in an electric heat integration microgrid》(2017
The 0th phase of volume 37) propose that a kind of depth stabilizes heat source-hybrid energy-storing coordination control strategy that regenerative resource goes out fluctuation, lead to
Excessive type hybrid energy-storage system inhibits to provide more with consumption for the power swing of electric-thermal microgrid distribution type renewable energy
Big control flexibility and adjustment section.However, there is no the ability of regulation and control for considering unit itself, need to fully take into account
It abandons wind and abandons light and abandon effect of the core in regulating and controlling unit output.
The division and design of multi-source multiple domain are not mentioned in the prior art, for the difference control for responding to not same area
Summation function is needed, different controller design independence are improved, seeks between control accuracy and complexity to balance, the present invention proposes
Multi-source multiple domain control method.
Invention content
Electric network synthetic load curve after the equivalent load synthesis contributed for power grid total load and generation of electricity by new energy, root
The operation control method of power grid is adjusted according to the variation of load curve, under different load levels and change condition, is adopted
With different control strategies, accuracy and the response speed of power grid control can be effectively improved.By the control of operation of power networks according to
Part throttle characteristics is divided into normal, abnormal and urgent three regions, and different control algolithms is respectively adopted, to improve the new energy of power grid
The digestion capability in source and the utilization ratio of multi-source energy storage device.For the different demands for control and function for responding to not same area, improve
Different controller design independence seek between control accuracy and complexity to balance, propose multi-source multiple domain control method.
In view of the deficiencies of the prior art, the object of the present invention is to provide a kind of New-energy power systems regulates and controls the multi-source more
Control method under the method for operation of domain.This method is generated electricity using firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power generator group etc. as the main force
Unit is constituted multiple domain control using the energy storage of the multi-sources such as heat accumulation, storing up electricity as spinning reserve with abnormal domain, urgent domain, normal operation in normal domain etc.
Section.To adjust active power means in order to control, by the way that firepower, hydro-generating Unit, wind-powered electricity generation, photovoltaic, nuclear power hair is respectively set
Motor group, storing up electricity unit, heat accumulation unit priority and weight determine all kinds of unit institutes according to each domain difference hair electricity demanding
The unit ratio undertaken.By regulating and controlling center adjustment weight, realize that multiple domain multicomputer flexibly controls.Starting control strategy
In the case of, to ensure generating set in the shortest time, load variations in tracking realize that rate of rise is consistent with load.
It invents herein a kind of using multi-source multiple domain control method, introducing closed loop feedback, the load increasing of control generating set real-time tracking
Amount, to ensure that frequency is requiring level.Load (load of the period of change between 10 seconds to several minutes is adjusted by tracking
Component), the related coefficient that load and generating set is adjusted is defined, realizes effective control to load weight, to balance pair
Power load and electricity generation system stabilize ability, realize power network safety operation.
To achieve the goals above, the present invention takes following technical scheme to realize:
1, gathered data, data acquisition parameters are as follows：Firepower unit outputHydraulic Power Unit is contributedPhotovoltaic machine
Group is contributedWind turbines are contributedPhotovoltaic unit outputNuclear power generating sets are contributedStoring up electricity unit output
Heat accumulation unit outputElectrical equipment load power
2, judge system running state, set respectively by daily load changed power range according to daily load prediction curve
Fixed abnormal, urgent critical power, the present invention set the 50% of Daily treatment cost power as abnormal critical power, Daily treatment cost
The 25% of power is urgent critical power, when beyond or below setting critical power, to determine current operating region, i.e., just
Normal domain, abnormal domain, urgent domain.
3, it can be adjusted accordingly since the electrical generation burden that each generating set is undertaken is based on load power variation, this hair
It is bright to be put into operation priority by setting generating set and energy storage unit, it is balanced according to power load power and unit output special
Property, build weight calculation model.
4, regulation and control center is changed based on unit operation, if desired corresponding adjustment is made to unit working condition, to each power generation
Unit and energy storage unit issue corresponding dispatch command.According to dispatch command, unit allocation is realized.The present invention is based on dispatch command,
It is proposed a kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source.
5, multi-source multiple domain controls, and instruction is assigned according to control centre, in time t, load increases/and reduce changed power
Measure Δ P.Changed by follow load, carry out generated output real-time control, keep frequency requires in level.According to daily load song
Line, control time scale is temporal resolution 15min for 24 hours in the daytime for definition, totally 96 moment points.Closed-loop control is introduced, is led to
Cross follow load rate change rate v, control output change rate vg, at any time in period t, define multiple controlling cycle td
(td<T) so that unit output change rate tends to load rate change rate.
Further, 2, judge system running state method：According to daily load prediction curve, it is set separately abnormal, urgent
Critical power,
In formula, Pmax,PminIndicate most large and small daily load electric power, PaThe abnormal critical power of expression, generally 50%
P, PuIndicate that urgent critical power, generally 25%P, P indicate daily load prediction electricity consumption maximum power.
Further, 3 generating set weight, is calculated
3.1, according to power load power and unit output equilibrium response, meet following relationship：
In formula, ω1, ω2, ω3, ω4, ω5, ω6, ω7Respectively firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation
Power weight, wherein ω1+ω2+ω3+ω4+ω5+ω6+ω7=1. Respectively t moment
The output of firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation generating set i,
The respectively state of t moment generating set i,It indicates at each unit
In shutdown status,Indicate that each unit is in operating status；
NT,NHY,NPV,NW,NN,NB,NHSRespectively firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation unit quantity.For
The load power of i-th moment electrical equipment i, NLFor power load quantity,Indicate that load i consumes electricity in t moment,Indicate that load i does not consume electricity in t moment.
3.2 weight calculation
When in the different time, load power is different, and corresponding regulation and control center can be according to changing value, to each power generation
The electrical generation burden that unit is undertaken adjusts accordingly；In i.e. normal, abnormal, the urgent domain of different working fields, all kinds of units
There can be different electrical generation priority grades, priority coefficient is set, determine the importance of generating set or the priority power generation of unit.
Respective change can occur for i.e. each unit weight.
ωk(k=1,2..., 6) indicates all kinds of units in moment t weight,Indicate each in all kinds of units of t moment respectively
Unit working condition； Indicate that t moment is each respectively
Each unit output in class unit.Whereinδj
Indicate priority factor.
Further, 5, multi-source multiple domain control, to ensure generating set in the shortest time, load variations in tracking, reality
Existing rate of rise is consistent with load.Closed loop feedback is introduced, according to hair electricity demanding different in multiple domain, is sent out by controlling
Motor group and the energy storage unit real-time tracking load increment, to ensure that frequency is requiring level.
5.1 calculated load rate change rates
According in t at any time, load increases/reduces in power variation Δ P, can acquire its rate change rate v and be
5.2 calculate generating set rate change rate
1) it calculates in any time t, generating set gross generation PG：
In formula：PGIndicate generating set gross generation；Respectively t moment
The output of firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation unit i,
Respectively t moment firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation unit i state, NT,NHY,NPV,NW,NN,NB,
NHSRespectively firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation unit quantity.
2) it calculates in random time t, generating set output change rate：
In formula：vgIndicate generating set output change rate,T+ Δs t, the power generation of t moment generating set are indicated respectively
Power, Δ PGIndicate the power variation in Δ t.
5.3 adjustable loads and generating set correlation calculations
In normal operation in normal domain, abnormal domain and three, urgent domain control time, because load power consumption characteristics are different, there are controllable
Load and load can not be regulated and controled, and because of the difference of multiple electricity and energy storage unit significance level in multiple domain so that each unit weight
In variation.For the ability of stabilizing for balancing to power load and electricity generation system, controllable power load and generating set are determined
Between correlative relationship, be arranged relative coefficient, by define λ and each unit weight correlation analysis, establish each control
Period mutual mathematical relationship, and be introduced into closed loop feedback control, improve control ability.
Assuming that sharing m relevant stochastic variable p in system1,p2,…,pm, it is expressed as vectorial P=[p1,p2,…,
pm].Wherein, p1,p2,…,paThe output power of a power supply, p are indicated respectivelya+1,pa+2,…,pa+bB are indicated respectively to be adjusted
Load power；ρijFor variable piWith pjBetween related coefficient (i, j=1,2 ... m).
In formula：It is all electricity generation systems in distribution in the gross capability of t moment.For the weak timeliness load i of t moment
Consumption power,For the state of t moment generating set i,Indicate compressor emergency shutdown state,Expression machine
Group operation；
In formula：It is all electricity generation systems in distribution in the gross capability of t moment.
Respectively t moment firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity,
The output of heat accumulation generating set i,Respectively t moment generator
The state of group i, NT,NHY,NPV,NW,NN,NB,NHSRespectively firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation unit number
Amount.
Work as correlation coefficient ρij=0.1646, then it is assumed that be in correlativity.
5.4 adjustable load weight calculations：
Calculating based on relative coefficient and each unit weight analysis calculate and load weight λ are adjusted.
In formula：βijIndicate relative coefficient,Respectively t moment firepower, water
The output of power, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation generating set i,
The respectively state of t moment generating set i, NT,NHY,NPV,NW,NN,NB,NHSRespectively firepower, waterpower, wind-powered electricity generation, photovoltaic, core
Electricity, storing up electricity, heat accumulation unit quantity.NG=NT+NHY+NPV+NW+NN+NB+NHS。t1,t2Indicate normal operation in normal domain, abnormal domain, urgent domain
Beginning and ending time.In formula,It is consumed for load i moment t in power grid active； (t1,t2)={ 8:00-21:00；21：00-
24：00,6:00-8:00；24:00-6:00 } indicate normal operation in normal domain, abnormal domain, urgent domain beginning and ending time.The object function according to
Weight λ value stabilizes ability balance electricity generation system.
The load weight λ in not same area is obtained by calculation, to bring control operation functional expression (7), (8) into, so as to
By adjusting load, to stabilize ability to power load and electricity generation system to balance.
5.5 contribute that unequal i.e. there are Δ P when load electric power and power generation are practicalxWhen, pass through adjusting control so that
ΔPxIt within a certain period of time must be in defined control range.
In formula：PL,i+1,PL,iI+1, i sampling power load power, fNIndicate rated frequency, fg+1、fgIt indicates respectively
I+1, i power load sample frequency.PL、PCIndicate the practical electricity consumption of load and planned supply and use of electric power, PkIt indicates to integrate when the time is k
Load power, Pmax、PminIndicate day prediction load electricity consumption maximum, minimum power, PGIndicate that generating set is contributed, λ indicates load
Weight.Proportionality coefficient m1, m2, m3；Wherein m1+m2+m3=1.
5.6 by analyzing above, according to the variation of different periods in not same area, introduces closed-loop control, passes through follow load
Rate change rate v, control output change rate vg, carry out real-time control.At any time in period t, multiple controlling cycles are defined
td(t=ntd, n >=2) so that unit output change rate tends to load rate change rate：
In formula：PG(t) generated energy in each generating set time t, P are indicatedp(t) it indicates in each generating set time t
Plan generated energy；PL、PCIndicate the practical electricity consumption of load and planned supply and use of electric power, tdIndicate an adjustment period in time cycle t, Δ
PxIndicate region hair electric control error；λ indicates unit output and controllable load correlation coefficient.
WhenThen think that meeting control requires.
Advantageous effect
The present invention is to ensure generating set in the shortest time, load variations in tracking, realizes that rate of rise is protected with load
It holds consistent.Load (load component of the period of change between 10 seconds to several minutes) is adjusted by tracking in invention herein, calculates
Region hair electricity error defines the related coefficient that load and generating set is adjusted, and realizes effective control to load weight,
It balances the ability of stabilizing to power load and electricity generation system, realizes power network safety operation.Introduce closed loop feedback, control
Generating set tracks the load increment, to ensure that frequency is requiring level.
Description of the drawings
Fig. 1 is a kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source provided by the invention
Flow chart.
Fig. 2 is a kind of somewhere daily load prediction curve provided by the invention.
Specific implementation mode
In order to make the purpose of the present invention, technical solution and advantage are more clear to understand, once in conjunction with attached drawing and implementation
Case, the present invention will be described in further detail, it should be understood that specific implementation case described herein is only used to solve
The present invention is released, is not intended to limit the present invention.In addition, involved in the various embodiments of the present invention described below
Technical characteristic can cooperate as long as they do not conflict with each other.
The present invention adopts the following technical scheme that：
Specific data preparation:
The present invention carries out sample calculation analysis with somewhere distribution.It is calculated by taking normal operation in normal domain as an example.Thermoelectric generator is specified
Power 100KW, quantity are 10, hydro-generating Unit rated power 100KW, and quantity is 5, and photovoltaic 250W, 100 pieces, core is anti-
Heap 300MW is answered, 2, wind turbine 100KW, 10, heat accumulation unit rated power is 24kW, and quantity is 50, storing up electricity unit 35KW,
20.
1, gathered data
Data acquisition parameters are as follows：Firepower unit outputHydraulic Power Unit is contributedPhotovoltaic unit output
Wind turbines are contributedPhotovoltaic unit outputNuclear power generating sets are contributedStoring up electricity unit outputHeat accumulation unit goes out
PowerElectrical equipment load power
2, judge system running state
Further, judge system running state method：According to daily load prediction curve, exception is set separately, promptly faces
Boundary's power,
In formula, Pmax,PminIndicate most large and small daily load electric power, PaThe abnormal critical power of expression, generally 50%
P, PuIndicate that urgent critical power, generally 25%P, P indicate daily load prediction electricity consumption maximum power.
According to daily load prediction curve, P is takenmax,Pmin=14MW, 3MW, Pa=6MW, Pu=3MW, P=12MW.Certain moment
Load electricity consumption is as shown in the table：
More moment load electric powers under the conditions of 1 multi-source multiple domain of table
3, generating set weight is calculated
3.1, according to power load power and unit output equilibrium response, meet following relationship：
In formula, ω1, ω2, ω3, ω4, ω5, ω6, ω7Respectively firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, storage
Thermal power weight, wherein ω1+ω2+ω3+ω4+ω5+ω6+ω7=1.
Respectively t moment firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power,
The output of storing up electricity, heat accumulation generating set i,Respectively t moment is sent out
The state of motor group i,It indicates that each unit is in and shuts down shape
State,Indicate that each unit is in operating status；NT,NHY,
NPV,NW,NN,NB,NHSRespectively firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation unit quantity.For at the i-th moment
The load power of electrical equipment i, NLFor power load quantity,Indicate that load i consumes electricity in t moment,Table
Show that load i does not consume electricity in t moment.
3.2 weight calculation
When in the different time, load power is different, and corresponding regulation and control center can be according to changing value, to each power generation
The electrical generation burden that unit is undertaken adjusts accordingly；In i.e. normal, abnormal, the urgent domain of different working fields, all kinds of units
There can be different electrical generation priority grades, priority coefficient is set, determine the importance of generating set or the priority power generation of unit.
Respective change can occur for i.e. each unit weight.
ωk(k=1,2..., 6) indicates all kinds of units in moment t weight,T moment firepower, waterpower, light are indicated respectively
Volt, nuclear power, heat accumulation, storing up electricity unit working condition.
T moment firepower, waterpower, photovoltaic, nuclear power, heat accumulation, storing up electricity unit output are indicated respectively.
All kinds of unit generation power are indicated respectively.Wherein
δjIndicate priority factor.
By taking normal operation in normal domain as an example, priority is successively：Water power, photovoltaic, wind-powered electricity generation, nuclear power, thermoelectricity.That is δjRespectively 0.333,
0.267、0.2、0.133、0.067.It is respectively 4,100 pieces, 10,0,5 to put into unit quantity；Can then calculate thermoelectricity,
Water power, photovoltaic, wind-powered electricity generation, nuclear power generating sets weight are respectively 0.466,0.283,0.105,0.096.
Each unit parameter under the conditions of 2 normal operation in normal domain of table
| Priority (high to Low) | Water power | Photovoltaic | Wind-powered electricity generation | Nuclear power | Water power | Heat accumulation | Storing up electricity |
| Priority factor | 0.333 | 0.267 | 0.200 | 0.133 | 0.067 | 0.032 | 0.012 |
| Put into unit quantity | 4 | 100 | 10 | 0 | 5 | 0 | 0 |
| Each unit weight | 0.466 | 0.283 | 0.105 | 0 | 0.096 | 0 | 0 |
4, regulation and control center is changed based on unit operation, if desired corresponding adjustment is made to unit working condition, to each power generation
Unit and energy storage unit issue corresponding dispatch command.
5, multi-source multiple domain controls
Instruction is assigned according to control centre, in time t, load increases/reduce power variation Δ P.It is negative by tracking
Lotus changes, and carries out generated output real-time control, and keep frequency requires in level.According to daily load curve, when definition controls in the daytime
Between scale be temporal resolution 15min for 24 hours, totally 96 moment points.Closed-loop control is introduced, is changed by follow load rate
Rate v, control output change rate vg, at any time in period t, define multiple controlling cycle td(td＜ t) so that unit output
Change rate tends to load rate change rate.
To ensure generating set in the shortest time, load variations in tracking realize that rate of rise keeps one with load
It causes.A kind of control method is invented herein, introduces closed loop feedback, according to hair electricity demanding different in multiple domain, is generated electricity by controlling
Unit and the energy storage unit real-time tracking load increment, to ensure that frequency is requiring level.
5.1 calculated load rate change rates
According in t at any time, load increases/reduces in power variation Δ P, can acquire its rate change rate and be
5.2 calculating generating set rate change rate
1) it calculates in any time t, generating set gross generation：
2) it calculates in random time t, generating set output change rate：
5.3 adjustable loads and generating set correlation calculations
In normal operation in normal domain, abnormal domain and three, urgent domain control time, because load power consumption characteristics are different, there are controllable
Load and load can not be regulated and controled, and because of the difference of multiple electricity and energy storage unit significance level in multiple domain so that each unit weight
In variation.For the ability of stabilizing for balancing to power load and electricity generation system, controllable power load and generating set are determined
Between correlative relationship, be arranged relative coefficient, by define λ and each unit weight correlation analysis, establish each control
Period mutual mathematical relationship, and be introduced into closed loop feedback control, improve control ability.
Assuming that sharing m relevant stochastic variable p in system1,p2,…,pm, it is expressed as vectorial P=[p1,p2,…,
pm].Wherein, p1,p2,…,paThe output power of a power supply, p are indicated respectivelya+1,pa+2,…,pa+bB are indicated respectively to be adjusted
Load power；ρijFor variable piWith pjBetween related coefficient (i, j=1,2 ... m).
In formula：It is all electricity generation systems in distribution in the gross capability of t moment.For the weak timeliness load i of t moment
Consumption power,For the state of t moment generating set i,Indicate compressor emergency shutdown state,Expression machine
Group operation；
In formula：It is all electricity generation systems in distribution in the gross capability of t moment.
Respectively t moment firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storage
The output of electricity, heat accumulation generating set i,Respectively t moment generates electricity
The state of unit i, NT,NHY,NPV,NW,NN,NB,NHSRespectively firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation unit
Quantity.
Work as correlation coefficient ρij=0.285 ＞ 0.1646 is in then correlativity.
5.4 adjustable load weight calculations：
Calculating based on relative coefficient and each unit weight analysis calculate and load weight λ are adjusted.
In formula：βijIndicate relative coefficient,Respectively t moment firepower, water
The output of power, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation generating set i,
The respectively state of t moment generating set i, NT,NHY,NPV,NW,NN,NB,NHSRespectively firepower, waterpower, wind-powered electricity generation, photovoltaic, core
Electricity, storing up electricity, heat accumulation unit quantity.NG=NT+NHY+NPV+NW+NN+NB+NHS。t1,t2Indicate normal operation in normal domain, abnormal domain, urgent domain
Beginning and ending time.In formula,It is consumed for load i moment t in power grid active； (t1,t2)={ 8:00-21:00；21：00-
24：00,6:00-8:00；24:00-6:00 } indicate normal operation in normal domain, abnormal domain, urgent domain beginning and ending time.The object function according to
Weight λ value stabilizes ability balance electricity generation system.
λ=0.2254 under normal operation in normal domain is acquired by calculating, to bring control operation functional expression (7) (8) into, so as to
By adjusting load, ability is stabilized to power load and electricity generation system to balance.
5.5 is unequal i.e. there are when Δ P when load electric power and the practical output of power generation, passes through adjusting control so that Δ
P within a certain period of time must be in defined control range.
In formula：PL,i+1,PL,iI+1, i sampling power load power, fNIndicate rated frequency, fg+1、fgIt indicates respectively
I+1, i power load sample frequency.PL、PCIndicate the practical electricity consumption of load and planned supply and use of electric power, PkIt indicates to integrate when the time is k
Load power, Pmax、PminIndicate day prediction load electricity consumption maximum, minimum power, PGIndicate that generating set is contributed, λ indicates load
Weight.Proportionality coefficient m1, m2, m3；Wherein m1+m2+m3=1.
Δ P can be acquiredx=0.000066, hair electrical power tends to be equal.I.e. the control achieves advantageous effect.
5.6 by analyzing above, according to the variation of different periods in not same area, introduces closed-loop control, passes through follow load
Rate change rate v, control output change rate vg, carry out real-time control.At any time in period t, multiple controlling cycles are defined
td(t=ntd, n >=2) so that unit output change rate tends to load rate change rate：
In formula：PG(t) generated energy in each generating set time t, P are indicatedp(t) it indicates in each generating set time t
Plan generated energy；PL、PCIndicate the practical electricity consumption of load and planned supply and use of electric power, tdIndicate an adjustment period in time cycle t, Δ
PxIndicate region hair electric control error；λ indicates unit output and controllable load correlation coefficient.
By can be calculated,Then think that meeting control requires.
In conclusion in existing research, do not refer to that multiple domain control, the present invention are powered in multiple-energy-source, polynary energy storage
Under conditions of, it according to daily load prediction curve, is divided by multiple domain, proposes a kind of control method based on multi-source multiple domain.And this
The functional of the multiple domain control method proposed is invented, there is simple structure, compared with traditional control method, strong robustness,
With faster convergence, load fluctuation can be preferably stabilized, reaches control purpose.This method can abundant generation of electricity by new energy
And the advantage and disadvantage of conventional electric power generation unit, its complementary function is played, by the way that each generating set priority and weight is arranged, according to each
Domain difference hair electricity demanding determines the unit ratio that all kinds of units are undertaken.By regulating and controlling center adjustment weight, multiple domain is realized
Multicomputer flexibly controls.
Claims (10)
1. a kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source, which is characterized in that this method with
Firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power generator group are as main force's generator unit, using the energy storage of the multi-sources such as heat accumulation, storing up electricity as rotation
Turn spare, multiple domain control interval is constituted with abnormal domain, urgent domain, normal operation in normal domain etc., to adjust active power means in order to control, is passed through
Firepower, hydro-generating Unit, wind-powered electricity generation, photovoltaic, nuclear power generator group, storing up electricity unit, heat accumulation unit priority and power is respectively set
Weight, according to each domain difference hair electricity demanding, determines the unit ratio that all kinds of units are undertaken, this method comprises the following steps：
Step 1: gathered data, data acquisition parameters are as follows：Firepower unit outputHydraulic Power Unit is contributedPhotovoltaic machine
Group is contributedWind turbines are contributedPhotovoltaic unit outputNuclear power generating sets are contributedStoring up electricity unit output
Heat accumulation unit outputElectrical equipment load power
Step 2: judging system running state, set respectively by daily load changed power range according to daily load prediction curve
Fixed abnormal, urgent critical power, the 50% of setting Daily treatment cost power is abnormal critical power, Daily treatment cost power
25% is urgent critical power, when beyond or below setting critical power, to determine current operating region, i.e. and normal operation in normal domain, different
Normal domain, urgent domain；
The priority Step 3: setting generating set and energy storage unit put into operation, it is flat according to power load power and unit output
Weigh characteristic, builds weight calculation model；
Step 4: regulation and control center is based on unit operation variation, corresponding adjustment is made to unit working condition, to each generating set and
Energy storage unit issues corresponding dispatch command；
Step 5: multi-source multiple domain controls, instruction is assigned according to control centre, in time t, load increases/reduce changed power
Δ P is measured, is changed by follow load, generated output real-time control is carried out, keep frequency requires in level.According to daily load song
Line, control time scale is temporal resolution 15min for 24 hours in the daytime for definition, and totally 96 moment points, introduce closed-loop control, pass through
Follow load rate change rate v, control output change rate vg, at any time in period t, define multiple controlling cycle td(td<
T) so that unit output change rate tends to load rate change rate.
2. a kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source as described in claim 1,
It is characterized in that, the step 2 judges system running state method：According to daily load prediction curve, it is set separately abnormal, urgent
Critical power,
In formula, Pmax,PminIndicate most large and small daily load electric power, PaIndicate abnormal critical power, generally 50%P, PuTable
Show that urgent critical power, generally 25%P, P indicate daily load prediction electricity consumption maximum power.
3. a kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source as claimed in claim 1 or 2,
Include the following steps it is characterized in that, the step 3 calculates generating set weight：
3.1, according to power load power and unit output equilibrium response, meet following relationship：
In formula, ω1, ω2, ω3, ω4, ω5, ω6, ω7Respectively firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation power
Weight, wherein ω1+ω2+ω3+ω4+ω5+ω6+ω7=1；Respectively t moment firepower,
The output of waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation generating set i,
The respectively state of t moment generating set i,Indicate each unit
In shutdown status,Indicate that each unit is in operating status；
NT,NHY,NPV,NW,NN,NB,NHSRespectively firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation unit quantity；For
The load power of i moment electrical equipments i, NLFor power load quantity,Indicate that load i consumes electricity in t moment,Indicate that load i does not consume electricity in t moment；
3.2 weight calculation
When in the different time, load power is different, and corresponding regulation and control center can be according to changing value, to each generating set institute
The electrical generation burden undertaken adjusts accordingly；In i.e. normal, abnormal, the urgent domain of different working fields, all kinds of units can exist
Priority coefficient is arranged in different electrical generation priority grades, determines the importance of generating set or the priority power generation of unit, i.e., each unit
Respective change can occur for weight：
ωk(k=1,2..., 6) indicates all kinds of units in moment t weight,Each unit work in all kinds of units of t moment is indicated respectively
Make state；
Indicate each in all kinds of units of t moment respectively
Unit output,WhereinδjIndicate priority
Coefficient.
4. a kind of New-energy power system as described in any one of claim 1-3 is controlled under the more regulatory domain methods of operation of multi-source
Method processed, which is characterized in that the step 5 multi-source multiple domain control introduces closed loop feedback, according to hair electricity different in multiple domain
Demand, the specific method is as follows：
5.1 calculated load rate change rates；
5.2 calculate generating set rate change rate；
5.3 adjustable loads and generating set correlation calculations；
5.4 adjustable load weight calculations；
5.5 contribute that unequal i.e. there are Δ P when load electric power and power generation are practicalxWhen, pass through adjusting control so that Δ Px
It must be in defined control range in certain time；
5.6, according to the variations of different periods in not same area, introduce closed-loop control and are controlled out by follow load rate change rate v
Power change rate vg, real-time control is carried out, at any time in period t, defines multiple controlling cycle td(t=ntd, n >=2) so that
Unit output change rate tends to load rate change rate.
5. such as a kind of right New-energy power system controlling party under the more regulatory domain methods of operation of multi-source as claimed in claim 4
Method, which is characterized in that the step 5 multi-source multiple domain control method, 5.1 calculated load rate change rates：
According in t at any time, load increases/reduces in power variation Δ P, acquires its rate change rate v and is
6. such as a kind of right New-energy power system controlling party under the more regulatory domain methods of operation of multi-source as claimed in claim 4
Method, which is characterized in that the step 5 multi-source multiple domain control method, 5.2 calculate generating set rate change rate specific method such as
Under：
1) it calculates in any time t, generating set gross generation PG：
In formula：PGIndicate generating set gross generation；
Respectively t moment firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity,
The output of heat accumulation unit i,Respectively t moment firepower, waterpower, wind
The state of electricity, photovoltaic, nuclear power, storing up electricity, heat accumulation unit i, NT,NHY,NPV,NW,NN,NB,NHSRespectively firepower, waterpower, wind-powered electricity generation, light
Volt, nuclear power, storing up electricity, heat accumulation unit quantity.
2) it calculates in random time t, generating set output change rate：
In formula：vgIndicate generating set output change rate,T+ Δs t, t moment generating set generated output are indicated respectively,
ΔPGIndicate the power variation in Δ t.
7. such as a kind of right New-energy power system controlling party under the more regulatory domain methods of operation of multi-source as claimed in claim 4
Method, which is characterized in that the step 5 multi-source multiple domain control method, 5.3 adjustable loads and generating set correlation calculations side
Method is as follows：
Relative coefficient is arranged in determining controllable correlative relationship between power load and generating set, by definition λ and respectively
The correlation analysis of unit weight establishes the mutual mathematical relationship of each control time, it is assumed that m relevant random changes are shared in system
Measure p1,p2,…,pm, it is expressed as vectorial P=[p1,p2,…,pm], wherein p1,p2,…,paA power supply of expression is defeated respectively
Go out power, pa+1,pa+2,…,pa+bB adjustable load powers are indicated respectively；ρijFor variable piWith pjBetween related coefficient (i, j
=1,2 ... m)：
In formula：For all electricity generation systems in distribution t moment gross capability,For the consumption of the weak timeliness load i of t moment
Power,For the state of t moment generating set i,Indicate compressor emergency shutdown state,Indicate unit operation；
In formula：For all electricity generation systems in distribution t moment gross capability,Respectively t
The output of moment firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation generating set i,
The respectively state of t moment generating set i, NT,NHY,NPV,NW,NN,NB,NHSRespectively firepower, waterpower, wind-powered electricity generation, photovoltaic, core
Electricity, storing up electricity, heat accumulation unit quantity, work as correlation coefficient ρij=0.1646, it is believed that be in correlativity.
8. such as a kind of right New-energy power system controlling party under the more regulatory domain methods of operation of multi-source as claimed in claim 4
Method, which is characterized in that the step 5 multi-source multiple domain control method, 5.4 adjustable load weight calculations：
Calculating based on relative coefficient and each unit weight analysis calculate and load weight λ are adjusted：
In formula：βijIndicate relative coefficient,Respectively t moment firepower, waterpower,
The output of wind-powered electricity generation, photovoltaic, nuclear power, storing up electricity, heat accumulation generating set i,Point
Not Wei t moment generating set i state, NT,NHY,NPV,NW,NN,NB,NHSRespectively firepower, waterpower, wind-powered electricity generation, photovoltaic, nuclear power,
Storing up electricity, heat accumulation unit quantity, NG=NT+NHY+NPV+NW+NN+NB+NHS, t1,t2Indicate the start-stop of normal operation in normal domain, abnormal domain, urgent domain
Time, in formula,It is consumed for load i moment t in power grid active；
(t1,t2)={ 8:00-21:00；21：00-24：00,6:00-8:00；24:00-6:00 } normal operation in normal domain, abnormal domain, tight is indicated
The beginning and ending time in anxious domain, what which balanced electricity generation system according to weight λ value stabilizes ability, and difference is obtained by calculation
Load weight λ in domain, to bring control operation functional expression (7), (8) into.
9. a kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source as claimed in claim 4,
It is characterized in that, it is that there are Δ P that the step 5.5, which works as load electric power with practical contribute unequal of power generation,xWhen, it is controlled by adjusting
System so that Δ PxIt within a certain period of time must be in defined control range:
In formula：PL,i+1,PL,iI+1, i sampling power load power, fNIndicate rated frequency, fg+1、fgI+1 is indicated respectively,
I power load sample frequency, PL、PCIndicate the practical electricity consumption of load and planned supply and use of electric power, PkIndicate synthetic load work(when the time is k
Rate, Pmax、PminIndicate day prediction load electricity consumption maximum, minimum power, PGIndicating that generating set is contributed, λ indicates load weight, than
Example Coefficient m1, m2, m3；Wherein m1+m2+m3=1.
10. a kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source as claimed in claim 4,
It is characterized in that, 5.6, according to the variations of different periods in not same area, introduce closed-loop control, by follow load rate change rate v,
Control output change rate vg, real-time control is carried out, at any time in period t, defines multiple controlling cycle td(t=ntd,n≥
2) so that unit output change rate tends to load rate change rate：
In formula：PG(t) generated energy in each generating set time t, P are indicatedp(t) the plan hair in each generating set time t is indicated
Electricity；PL、PCIndicate the practical electricity consumption of load and planned supply and use of electric power, tdIndicate an adjustment period in time cycle t, Δ PxIt indicates
Region hair electric control error；λ indicates unit output and controllable load correlation coefficient,
WhenThen think that meeting control requires.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810076455.XA CN108462212B (en) | 2018-01-26 | 2018-01-26 | Control method of new energy power system in multi-source multi-regulation-control-domain operation mode |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810076455.XA CN108462212B (en) | 2018-01-26 | 2018-01-26 | Control method of new energy power system in multi-source multi-regulation-control-domain operation mode |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108462212A true CN108462212A (en) | 2018-08-28 |
| CN108462212B CN108462212B (en) | 2022-08-09 |
Family
ID=63238843
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810076455.XA Active CN108462212B (en) | 2018-01-26 | 2018-01-26 | Control method of new energy power system in multi-source multi-regulation-control-domain operation mode |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108462212B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110601190A (en) * | 2019-09-23 | 2019-12-20 | 国网辽宁省电力有限公司鞍山供电公司 | Regional power grid operation domain division method |
| WO2020151587A1 (en) * | 2019-01-26 | 2020-07-30 | 国网福建省电力有限公司 | Method and apparatus for evaluating power generator set frequency modulation urgency, power system, and storage medium |
| CN111934365A (en) * | 2020-08-07 | 2020-11-13 | 中国华能集团清洁能源技术研究院有限公司 | Energy storage system of energy base and working method thereof |
| CN115333162A (en) * | 2022-10-17 | 2022-11-11 | 国网浙江省电力有限公司宁波供电公司 | Control method of comprehensive energy power distribution system and power distribution system |
| CN116191571A (en) * | 2023-04-17 | 2023-05-30 | 深圳量云能源网络科技有限公司 | Wind power energy storage output power control method and system |
| CN117039832A (en) * | 2023-10-07 | 2023-11-10 | 合肥工业大学 | Energy optimization management method and system for direct-current power distribution network |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101594002A (en) * | 2009-07-03 | 2009-12-02 | 河海大学 | The self-healing control method of operation of urban distribution network |
| CN102510123A (en) * | 2011-11-10 | 2012-06-20 | 山东大学 | Automatic energy storage control method for large-scale wind power cutter |
| US20130169309A1 (en) * | 2011-12-30 | 2013-07-04 | Schneider Electric USA, Inc. | Method of detecting instability in islanded electrical systems |
| US20150084339A1 (en) * | 2013-09-26 | 2015-03-26 | Wellhead Electric Company, Inc. | Hybrid energy system and method |
| CN106992556A (en) * | 2017-05-24 | 2017-07-28 | 南方电网科学研究院有限责任公司 | Optimal scheduling method based on hybrid power supply multi-time scale complementation |
| CN107294116A (en) * | 2017-07-18 | 2017-10-24 | 上海电力学院 | A kind of multiple domain power system load control method for frequency |
| CN107528385A (en) * | 2017-06-29 | 2017-12-29 | 国网辽宁省电力有限公司 | A kind of source net lotus control method for coordinating and system based on new energy consumption |
-
2018
- 2018-01-26 CN CN201810076455.XA patent/CN108462212B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101594002A (en) * | 2009-07-03 | 2009-12-02 | 河海大学 | The self-healing control method of operation of urban distribution network |
| CN102510123A (en) * | 2011-11-10 | 2012-06-20 | 山东大学 | Automatic energy storage control method for large-scale wind power cutter |
| US20130169309A1 (en) * | 2011-12-30 | 2013-07-04 | Schneider Electric USA, Inc. | Method of detecting instability in islanded electrical systems |
| US20150084339A1 (en) * | 2013-09-26 | 2015-03-26 | Wellhead Electric Company, Inc. | Hybrid energy system and method |
| CN106992556A (en) * | 2017-05-24 | 2017-07-28 | 南方电网科学研究院有限责任公司 | Optimal scheduling method based on hybrid power supply multi-time scale complementation |
| CN107528385A (en) * | 2017-06-29 | 2017-12-29 | 国网辽宁省电力有限公司 | A kind of source net lotus control method for coordinating and system based on new energy consumption |
| CN107294116A (en) * | 2017-07-18 | 2017-10-24 | 上海电力学院 | A kind of multiple domain power system load control method for frequency |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020151587A1 (en) * | 2019-01-26 | 2020-07-30 | 国网福建省电力有限公司 | Method and apparatus for evaluating power generator set frequency modulation urgency, power system, and storage medium |
| US11936186B2 (en) | 2019-01-26 | 2024-03-19 | State Grid Fujian Electric Power Company Limited | Method and apparatus for evaluating a degree of frequency regulation urgency of a generator set, power system, and storage medium |
| CN110601190A (en) * | 2019-09-23 | 2019-12-20 | 国网辽宁省电力有限公司鞍山供电公司 | Regional power grid operation domain division method |
| CN110601190B (en) * | 2019-09-23 | 2023-06-02 | 国网辽宁省电力有限公司鞍山供电公司 | Regional power grid operation domain division method |
| CN111934365A (en) * | 2020-08-07 | 2020-11-13 | 中国华能集团清洁能源技术研究院有限公司 | Energy storage system of energy base and working method thereof |
| CN111934365B (en) * | 2020-08-07 | 2021-09-14 | 中国华能集团清洁能源技术研究院有限公司 | Energy storage system of energy base and working method thereof |
| CN115333162A (en) * | 2022-10-17 | 2022-11-11 | 国网浙江省电力有限公司宁波供电公司 | Control method of comprehensive energy power distribution system and power distribution system |
| CN116191571A (en) * | 2023-04-17 | 2023-05-30 | 深圳量云能源网络科技有限公司 | Wind power energy storage output power control method and system |
| CN116191571B (en) * | 2023-04-17 | 2023-08-04 | 深圳量云能源网络科技有限公司 | Wind power energy storage output power control method and system |
| CN117039832A (en) * | 2023-10-07 | 2023-11-10 | 合肥工业大学 | Energy optimization management method and system for direct-current power distribution network |
| CN117039832B (en) * | 2023-10-07 | 2023-12-19 | 合肥工业大学 | Energy optimization management method and system for direct-current power distribution network |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108462212B (en) | 2022-08-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108462212A (en) | A kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source | |
| CN107294116B (en) | Multi-domain power system load frequency control method | |
| CN106300336B (en) | It is a kind of meter and load side and source side virtual plant Multiobjective Optimal Operation method | |
| CN107317345B (en) | Method for controlling frequency of isolated power grid by participation of electrolysis load | |
| CN103715700B (en) | Be applicable to powerless control system and the control method of wind farm grid-connected point voltage control | |
| AU2018101070A4 (en) | Automatic voltage control method, device and system for wind farm | |
| CN110829408B (en) | Multi-domain scheduling method considering energy storage power system based on power generation cost constraint | |
| CN104538990A (en) | Automatic generation control method for small power grid isolated network operation | |
| CN109995051A (en) | A kind of micro- energy net systematic electricity frequency modulation control method and system | |
| CN109412210B (en) | Fine adjustment method for active power of wind turbine generator | |
| CN102255337B (en) | Calculating method for wind power field receiving capability of power grid | |
| CN107968443A (en) | The AGC control methods that a kind of fiery bundling direct current of scene is sent outside | |
| Li et al. | Comprehensive frequency regulation control strategy of thermal power generating unit and ESS considering flexible load simultaneously participating in AGC | |
| CN202772598U (en) | Power generation system | |
| CN117081177B (en) | Micro-grid operation power control method for hydroelectric main dispatching unit in island mode | |
| CN110808616A (en) | Micro-grid frequency control method based on power shortage distribution | |
| Li et al. | Research on the control strategy of energy storage participation in power system frequency regulation | |
| CN109004641A (en) | A kind of microgrid source net lotus control method for coordinating based on energy source optimization scheduling | |
| CN115882527A (en) | Primary frequency modulation coordination control method considering energy storage new energy station droop characteristic | |
| CN114123248B (en) | Power grid frequency modulation operation control method and system using new energy primary frequency modulation priority | |
| CN115473282A (en) | Cascade hydroelectric and photovoltaic complementary power generation system and control method | |
| CN112634076B (en) | Distributed regulation and control method for wind power-containing multi-microgrid system considering flexibility reserve | |
| Jiang et al. | Research on coordinated development and optimization of distribution networks at all levels in distributed power Energy Engineering | |
| CN207053195U (en) | A kind of new energy micro-capacitance sensor that electric power is limited based on PCC grid entry points | |
| Tang et al. | Coordination Control of Wind Farm and Energy Storage Station for Primary Frequency Regulation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |