CN106099956A - Consider the single three-phase many microgrids power coordination control method in the case of distribution scheduling - Google Patents
Consider the single three-phase many microgrids power coordination control method in the case of distribution scheduling Download PDFInfo
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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
- H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
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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
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected 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
-
- 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]
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/50—Arrangements for eliminating or reducing asymmetry in polyphase networks
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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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
- Y02P80/14—District level solutions, i.e. local energy networks
Abstract
The invention discloses the single three-phase many microgrids power coordination control method in the case of consideration distribution scheduling.The method considers the constraint of system three-phase imbalance, optimizes each sub-microgrid internet dominant eigenvalues value based on particle cluster algorithm, is simultaneously based on each energy-storage system correlation behavior decision-making and goes out each energy storage and exert oneself.Through case verification, institute's extracting method disclosure satisfy that dominant eigenvalues command request and effectively reduces system tri-phase unbalance factor.Belonging to parallel regulation owing to coordinating control process, each sub-microgrid participates in dominant eigenvalues regulation process jointly, and therefore the power coordination control time is shorter, can arrive rapidly power command value；Coordinate control constraints condition using tri-phase unbalance factor as many microgrids dominant eigenvalues, reduce system tri-phase unbalance factor, reduce the loss of power distribution network transformer equipment and electrical network electric energy loss.Consider that the single three-phase many microgrids power coordination control method in the case of distribution scheduling reduces degree of unbalancedness and the loss of light storage type micro-capacitance sensor, interconnection tie power fluctuation between suppression micro-capacitance sensor and bulk power grid, reduce the micro-capacitance sensor adverse effect to electrical network, improve the practicality of micro-capacitance sensor engineering.
Description
Technical field
The present invention relates to many microgrids Coordinated Control field, particularly to a kind of consider in the case of distribution scheduling single three
Mutually more microgrid power coordination control methods.
Background technology
Micro-capacitance sensor is a kind of by distributed power source, load, energy storage device, current transformer and monitoring and protecting device organic combination
Small-sized distribution system together.By key technologies such as the operation control of micro-capacitance sensor and energy managements, it is possible to achieve it is also
The adverse effect that net or islet operation, reduction intermittence distributed power source bring to power distribution network, maximally utilises distributed
Power supply is exerted oneself, high power supply reliability and the quality of power supply.Consider that the output of wind, light distributed power supply has intermittence, randomness etc.
How feature, suppress interconnection tie power fluctuation between micro-capacitance sensor and bulk power grid, reduces the micro-capacitance sensor adverse effect to electrical network, by wide
General concern.Access electrical network on a large scale along with microgrid, in certain area, multiple neighbouring microgrids supply because of interconnection required mutually and are formed the most micro-
Net system.At microgrid during intelligent grid develops, many micro-grid systems become the novel power grid research after single microgrid
Focus, and how to coordinate research core and the hot issue that many individual sub-microgrid high efficient and reliable operations are many microgrids.
The existing research about many microgrids contact signal coordination control is many to be coordinated and optimized for many micro-grid systems internal power, not
Consider distribution scheduling and the impact on distribution of many micro-grid systems.Power shortage between single-phase sub-microgrid in single many microgrids of three-phase series-parallel connection
Certainly existing difference, different power shortages is injected into a certain phase time, may cause three-phase imbalance phenomenon.If low-voltage network
Longtime running, in three-phase current unbalance state, not only increases the electric energy loss of low-voltage circuit, also increases distribution transformer, even
The loss of high-tension line, reduces service life of equipment.For reducing the adverse effect that power distribution network is caused by three-phase imbalance phenomenon, rule
Determine three-phase current unbalance degree and be not to be exceeded 15%.
Find by prior art documents, (the invention of a kind of many microgrids control method for coordinating based on PREDICTIVE CONTROL
Patent: CN201510050905.4) utilize Duality Decomposition method that many micro-grid systems resolve into multiple sub-microgrid dynamically associated
System；Then introduce Lagrange coordinating factor problem to be converted into for every sub-microgrid two-layer hierarchical optimal problem, dispersion
Solve；Finally utilize Gradient Iteration algorithm to coordinate, obtain the value and power reference of each sub-microgrid, through receiving calling module be
Each sub-microgrid provides power reference value signal, it is achieved many microgrids are coordinated to control.This control method can make full use of many height
Microgrid, it is achieved the Power Exchange of many micro-grid systems and major network, makes feeder line power meet regulation requirement, it is achieved parallel-connection structure the most micro-
Group between net coordinates to control.But the method only considers that many micro-grid systems internal power coordinates and optimizes, and does not considers distribution scheduling
And the impact that many micro-grid systems is on distribution.
Summary of the invention
The present invention proposes the single three-phase many microgrids power coordination control method in the case of consideration distribution scheduling, institute's extracting method
Each level micro-capacitance sensor dominant eigenvalues requirement can be met, and effectively reduce this system tri-phase unbalance factor, reduce power distribution network transformation
Device equipment loss and electrical network electric energy loss, improve the practicality of micro-capacitance sensor engineering.
Considering the single three-phase many microgrids power coordination control method in the case of distribution scheduling, the method is based on particle cluster algorithm
Optimize each sub-microgrid internet dominant eigenvalues value, consider that each energy-storage system correlation behavior decision-making goes out each energy storage and exerts oneself simultaneously.
Further, it specifically comprises the following steps that
Step 1: domain type micro-capacitance sensor central controller accepts dispatch value Pset；
Step 2: calculate each sub-microgrid stability margin MGm[Pdis,Pch], wherein PdisAnd PchIt is respectively sub-microgrid maximum can put
Electricity and charge power；
Step 3: based on particle cluster algorithm, obtains ε < each phase sequence single-phase microgrid group's total activation nargin MMG' under b%A-Phase
[Pdis',Pch'], MMG'B-Phase[Pdis',Pch'], MMG'C-Phase[Pdis',Pch'], ε is tri-phase unbalance factor, Pdis' and Pch'
Meeting the lower maximum of tri-phase unbalance factor constraint for each phase sequence sub-microgrid group can discharge and charge power, b is the degree of unbalancedness set
Setting；
Step 4: judge whether dispatch value is within the scope of many microgrids exert oneself；
Step 5: if being not within the scope of many microgrids exert oneself, each sub-microgrid EIAJ in the most each phase sequence microgrid group, control
Flow process processed terminates；
Step 6: if being within the scope of many microgrids exert oneself, the total regulating power by three-phase microgrid group and single-phase microgrid group is poor
Different, that decision-making makes up needed for it three phase power difference P3-PhaseWith single-phase power difference P1-Phase；
Step 7: with min{PA-Phase|+|PB-Phase|+|PC-Phase| it is optimization aim, three-phase dominant eigenvalues is uneven
Degree is constraint, three kinds of phase sequence sub-microgrid group gross capability P of decision-makingA-Phase,PB-Phase,PC-Phase, PA-PhaseExert oneself for A phase, PB-Phase
Exert oneself for B phase, PC-PhaseExert oneself for C phase；
Step 8: go out each sub-microgrid in each phase sequence micro-capacitance sensor group by phase sequence decision-making and exert oneself.
Further, described particle swarm optimization algorithm turns to the single-phase sub-microgrid group's charge-discharge electric power maximum of each phase sequence respectively
Object function, obtains each phase sequence single-phase sub-microgrid group peak power regulation nargin when meeting tri-phase unbalance factor less than b%,
Described object function is as follows:
Wherein, P'dis(A-Pahse)、P'dis(B-Pahse)、P'dis(C-Pahse)For the single-phase sub-microgrid group's discharge power of each phase sequence,
P'ch(A-Pahse)、P'ch(B-Pahse)、P'ch(C-Pahse)For the single-phase sub-microgrid group's charge power of each phase sequence, f1Micro-for the single-phase son of each phase sequence
Summation after net group's discharge power maximization, f2Summation after maximizing for the single-phase sub-microgrid group's charge power of each phase sequence.
Further, the solution procedure of described three kinds of phase sequences single-phase sub-microgrid actual gross capability optimization problem can represent such as
Under:
Object function is: min f=min{ | PA-Phase|+|PB-Phase|+|PC-Phase}
Should meet during optimization:
By above-mentioned optimum results PA-Phase,PB-Phase,PC-Phase, go out respectively according to each sub-microgrid power adjustments difference of ability decision-making
In phase sequence sub-microgrid group, each sub-microgrid is specifically exerted oneself.The method considers the constraint of system three-phase imbalance, excellent based on particle cluster algorithm
Change each sub-microgrid internet dominant eigenvalues value, be simultaneously based on each energy-storage system correlation behavior decision-making and go out each energy storage and exert oneself.Carried side
Method can meet each level micro-capacitance sensor dominant eigenvalues requirement, and effectively reduces this system tri-phase unbalance factor, reduces power distribution network and becomes
Depressor equipment loss and electrical network electric energy loss.
Compared with prior art, the invention have the advantages that and technique effect:
The present invention proposes the single three-phase many microgrids power coordination control method in the case of consideration distribution scheduling.The method is examined
Worry system three-phase imbalance retrains, and optimizes each sub-microgrid internet dominant eigenvalues value based on particle cluster algorithm, is simultaneously based on each storage
Energy system correlation behavior decision-making goes out each energy storage and exerts oneself.Through case verification, institute's extracting method can meet each level micro-capacitance sensor interconnection merit
Rate requirement, and effectively reduce this system tri-phase unbalance factor, reduce the loss of power distribution network transformer equipment and electrical network electric energy loss.
Accompanying drawing explanation
Fig. 1 is single three-phase series-parallel connection many microgrids figure.
Fig. 2 is the single three-phase many microgrids power coordination control method flow chart in the case of consideration distribution scheduling.
Detailed description of the invention
Below in conjunction with the accompanying drawings, the present invention is done and describes in detail further, but embodiments of the present invention are not limited to this.
Fig. 1 is single three-phase series-parallel connection many microgrids figure, and the present invention is based on this topology design power coordination control method.
Fig. 2 is the single three-phase many microgrids power coordination control method flow chart in the case of consideration distribution scheduling, and it specifically walks
Rapid as follows:
Step 1: domain type micro-capacitance sensor central controller accepts dispatch value Pset；
Step 2: calculate each sub-microgrid stability margin MGm[Pdis,Pch]；
Step 3: based on particle cluster algorithm, obtains ε < 15% time each phase sequence single-phase microgrid group's total activation nargin MMG'A-Phase
[Pdis',Pch'], MMG'B-Phase[Pdis',Pch'], MMG'C-Phase[Pdis',Pch']；
Step 4: judge whether dispatch value is within the scope of many microgrids exert oneself；
Step 5: if being not within the scope of many microgrids exert oneself, each sub-microgrid EIAJ in the most each phase sequence microgrid group, control
Flow process processed terminates；
Step 6: if being within the scope of many microgrids exert oneself, the total regulating power by three-phase microgrid group and single-phase microgrid group is poor
Different, that decision-making makes up needed for it power difference P3-PhaseAnd P1-Phase；
Step 7: with min{ | PA-Phase|+|PB-Phase|+|PC-Phase| it is optimization aim, three-phase dominant eigenvalues is uneven
Degree is constraint, three kinds of phase sequence sub-microgrid group gross capability P of decision-makingA-Phase,PB-Phase,PC-Phase；
Step 8: go out each sub-microgrid in each phase sequence micro-capacitance sensor group by phase sequence decision-making and exert oneself.
Further, described particle swarm optimization algorithm turns to the single-phase sub-microgrid group's charge-discharge electric power maximum of each phase sequence respectively
Object function, obtains each phase sequence single-phase sub-microgrid group peak power regulation when meeting tri-phase unbalance factor less than 15% abundant
Degree, described object function is as follows:
Further, the solution procedure of described three kinds of phase sequences single-phase sub-microgrid actual gross capability optimization problem can represent such as
Under:
Object function is: min f=min{ | PA-Phase|+|PB-Phase|+|PC-Phase|}
Should meet during optimization:
By above-mentioned optimum results PA-Phase,PB-Phase,PC-Phase, go out respectively according to each sub-microgrid power adjustments difference of ability decision-making
In phase sequence sub-microgrid group, each sub-microgrid is specifically exerted oneself.
This method designs following example and carries out method validation.
Assume that a certain home cell many microgrids of type have two three-phase microgrid MMGT1 and MMGT2, two sub-microgrids of A phase
MMGA1 and MMGA2, two B phase sub-microgrid MMGB1 and MMGB2, a C phase sub-microgrid MMGC, they collectively constitute single three-phase and mix
The many micro-grid systems of connection type.Distribution scheduling power is made up jointly by each sub-microgrid photovoltaic, load, energy storage, due to the light many microgrids of storage type
Only energy storage device has power adjustments ability, and therefore schedule power difference is made up by energy storage device in each sub-microgrid completely.Respectively
Sub-microgrid power adjustments stability margin is as shown in table 1.
Table 1
With tri-phase unbalance factor less than 15% as constraints, try to achieve the pole of each single-phase sub-microgrid group based on particle cluster algorithm
Limit regulation nargin, i.e. MGA=[10.02kW ,-8.00kW], MGB=[6.00kW ,-12.90kW], MGC=[9.66kW ,-
9.00kW]。
Can be obtained by above-mentioned data analysis, the general power regulation nargin of many microgrids is [49.68kW ,-45.90kW], Qi Zhongsan
Total regulation nargin of mutually sub-microgrid group is [24.00kW ,-16.00kW], and total regulation nargin of single-phase sub-microgrid group is
[25.68kW ,-29.90kW], can be according to the difference of single three-phase microgrid group's power adjustments ability in concrete power adjustment procedure
Distribution power difference.
The power coordination control strategy proposed is tested by this example design controlled load case of microgrid power coordination more than three kinds
Card, is followed successively by distribution scheduling command value and is in (command value is positive/negative) within the scope of many microgrids are exerted oneself, and command value exceeds many microgrids
Exerting oneself scope, concrete outcome is as shown in table 2.
(1) operating mode one: distribution scheduling command value is+40kW.
Distribution scheduling command value is in the range of many microgrids exert oneself, according to the difference of single three-phase microgrid group's power adjustments nargin
Different, by the pro rate dispatch command of 24.00kW:25.68kW, i.e. three-phase microgrid group need to exert oneself 19.32kW, single-phase sub-microgrid
Group need to exert oneself 20.68kW.
With each single-phase sub-minimum optimization aim of microgrid charge-discharge electric power, system tri-phase unbalance factor is constraints, base
Go out each exerting oneself of three kinds of phase sequence sub-microgrid groups in PSO algorithm decision-making, can obtain: [PA,PB,PC]=[8.20kW, 5.53kW,
6.95kW]。
According to each concrete sub-microgrid power adjustments stability margin difference and needed for the power shortage that makes up, decision-making goes out each phase
Each sub-microgrid energy storage device discharge power in sequence microgrid group, the most as shown in table 2.
Table 2
(2) operating mode two: distribution scheduling command value is-40kW.
Distribution scheduling command value is within the scope of many microgrids exert oneself.According to single three-phase microgrid group's power adjustments nargin
Difference, can be instructed by the pro rate distribution scheduling of-16.00:-29.90, i.e. three-phase microgrid group need to exert oneself-13.94kW, single
Mutually sub-microgrid group need to exert oneself-26.06kW.
With each single-phase sub-minimum optimization aim of microgrid charge-discharge electric power, system tri-phase unbalance factor is constraints, base
Go out each exerting oneself of three kinds of phase sequence sub-microgrid groups in PSO algorithm decision-making, can obtain: [PA,PB,PC]=[-7.84kW ,-9.21kW ,-
9.00kW]。
According to each concrete sub-microgrid power adjustments stability margin difference and needed for the power shortage that makes up, decision-making goes out each phase
Each sub-microgrid energy storage device charge power in sequence microgrid group, the most as shown in table 2.
(3) operating mode three: distribution scheduling command value is+60kW.
Distribution scheduling command value is exerted oneself scope beyond many microgrids, and each sub-microgrid is by the lower maximal regulated nargin of degree of unbalancedness constraint
Exert oneself, specifically exert oneself as shown in table 2.Now under the system tri-phase unbalance factor maximum constraint less than 15%, entirety is many
Microgrid is actual exerts oneself as 49.68kW, meets far away power distribution network dispatch command requirement, but can reduce system tri-phase unbalance factor and cause
System loss.In actual applications, traffic department can select to exert oneself by many microgrids stability margin or retrain according to the actual requirements
Under the conditions of regulate nargin exert oneself.
Specific embodiment described in the invention is only to illustrate spirit of the present invention, and those skilled in the art are permissible
On the premise of the principle and essence of the present invention, this specific embodiment is being made various amendment or is supplementing or use class
As mode substitute, but these changes each fall within protection scope of the present invention.Therefore the technology of the present invention scope is not limited to
State embodiment.
Claims (3)
1. consider the single three-phase many microgrids power coordination control method in the case of distribution scheduling, it is characterised in that: based on population
Algorithm optimization each sub-microgrid internet dominant eigenvalues value, considers that each energy-storage system correlation behavior decision-making goes out each energy storage and exerts oneself simultaneously,
Specifically comprise the following steps that
Step 1: domain type micro-capacitance sensor central controller accepts dispatch value Pset；
Step 2: calculate each sub-microgrid stability margin MGm[Pdis,Pch]；
Step 3: based on particle cluster algorithm, obtains tri-phase unbalance factor ε < each phase sequence single-phase microgrid group's total activation nargin under b%
MMG'A-Phase[Pdis',Pch'], MMG'B-Phase[Pdis',Pch'], MMG'C-Phase[Pdis',Pch'], b is the degree of unbalancedness set
Setting；
Step 4: judge whether dispatch value is within the scope of many microgrids exert oneself；
Step 5: if being not within the scope of many microgrids exert oneself, each sub-microgrid EIAJ in the most each phase sequence microgrid group, control stream
Journey terminates；
Step 6: if being within the scope of many microgrids exert oneself, by three-phase microgrid group and total regulating power difference of single-phase microgrid group,
Three-phase microgrid group's power difference P made up needed for decision-making3-PhaseWith single-phase microgrid group's power difference P1-Phase；
Step 7: with three kinds of phase sequence sub-microgrid group's gross capability minimum optimization aim of absolute value summation, three-phase dominant eigenvalues is uneven
Weighing apparatus degree is constraint, three kinds of phase sequence sub-microgrid group gross capability P of decision-makingA-Phase,PB-Phase,PC-Phase；
Step 8: go out each sub-microgrid in each phase sequence micro-capacitance sensor group by phase sequence decision-making and exert oneself.
Single three-phase many microgrids power coordination control method in the case of consideration distribution scheduling the most according to claim 1, its
It is characterised by: described particle swarm optimization algorithm turns to target letter with the single-phase sub-microgrid group's charge-discharge electric power maximum of each phase sequence respectively
Number, obtains each phase sequence single-phase sub-microgrid group peak power regulation nargin when meeting tri-phase unbalance factor less than b%, described mesh
Scalar functions is as follows:
Wherein, P'dis(A-Pahse)、P'dis(B-Pahse)、P'dis(C-Pahse)For the single-phase sub-microgrid group's discharge power of each phase sequence,
P'ch(A-Pahse)、P'ch(B-Pahse)、P'ch(C-Pahse)For the single-phase sub-microgrid group's charge power of each phase sequence, f1Micro-for the single-phase son of each phase sequence
Summation after net group's discharge power maximization, f2Summation after maximizing for the single-phase sub-microgrid group's charge power of each phase sequence.
Single three-phase many microgrids power coordination control method in the case of consideration distribution scheduling the most according to claim 1, its
It is characterised by:
The solution procedure of described three kinds of phase sequences single-phase sub-microgrid actual gross capability optimization problem can be expressed as follows:
Object function is: minf=min{ | PA-Phase|+|PB-Phase|+|PC-Phase|}
Should meet during optimization:
By above-mentioned optimum results PA-Phase,PB-Phase,PC-Phase, go out each phase according to each sub-microgrid power adjustments difference of ability decision-making
In sequence sub-microgrid group, each sub-microgrid is specifically exerted oneself, thus controls exerting oneself of every sub-microgrid according to the result of decision.
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| CN109659980A (en) * | 2019-01-22 | 2019-04-19 | 西南交通大学 | The tractive power supply system energy management optimization method of integrated hybrid energy-storing and photovoltaic devices |
| CN109659980B (en) * | 2019-01-22 | 2022-07-08 | 西南交通大学 | Energy management optimization method for traction power supply system integrating hybrid energy storage and photovoltaic device |
| CN109842137A (en) * | 2019-03-15 | 2019-06-04 | 三峡大学 | A kind of control method for coordinating of list three-phase mixed connection microgrid group |
| CN109842137B (en) * | 2019-03-15 | 2022-05-06 | 三峡大学 | Coordination control method for single-phase and three-phase series-parallel micro-grid group |
| CN110661247A (en) * | 2019-11-12 | 2020-01-07 | 湖南大学 | Power coefficient compensation-based power equalization control method and system for direct-current micro-grid |
| CN110661247B (en) * | 2019-11-12 | 2021-03-23 | 湖南大学 | Power coefficient compensation-based power equalization control method and system for direct-current micro-grid |
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| CN106099956B (en) | 2019-01-18 |
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