CN106099956B - Consider the more microgrid power coordination control methods of single three-phase in the case of distribution scheduling - Google Patents
Consider the more microgrid power coordination control methods of single three-phase 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
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- Y02P80/14—District level solutions, i.e. local energy networks
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Abstract
The invention discloses the more microgrid power coordination control methods of single three-phase in the case of consideration distribution scheduling.This method considers the constraint of system three-phase imbalance, optimizes each sub- internet dominant eigenvalues value of microgrid based on particle swarm algorithm, while going out each energy storage power output based on each energy-storage system correlated condition decision.Through case verification, mentioned method can satisfy dominant eigenvalues instruction and require and effectively reduce system tri-phase unbalance factor.Since coordinated control process belongs to parallel adjusting, each sub- microgrid participates in dominant eigenvalues adjustment process jointly, therefore the power coordination control time is shorter, can reach power command value rapidly；Using tri-phase unbalance factor as more microgrid dominant eigenvalues coordinated control constraint conditions, system tri-phase unbalance factor is reduced, reduces the loss of power distribution network transformer equipment and power grid electric energy loss.The more microgrid power coordination control methods of single three-phase in the case of consideration distribution scheduling reduce the degree of unbalancedness and loss of light storage type micro-capacitance sensor, inhibit interconnection tie power fluctuation between micro-capacitance sensor and bulk power grid, micro-capacitance sensor is reduced to the adverse effect of power grid, improves the practicability of micro-capacitance sensor engineering.
Description
Technical field
The present invention relates to more microgrid Coordinated Controls field, in particular to a kind of single three considered in the case of distribution scheduling
Much microgrid power coordination control methods.
Background technique
Micro-capacitance sensor is a kind of by distributed generation resource, load, energy storage device, current transformer and monitoring and protecting device organic combination
Small-sized electric system together.The key technologies such as operation control and energy management by micro-capacitance sensor, may be implemented it simultaneously
Net or isolated operation, the intermittent distributed generation resource of reduction give power distribution network bring to adversely affect, and maximally utilise distribution
Power supply power output, high power supply reliability and power quality.Consider that wind, the output of light distributed power supply have intermittence, randomness etc.
How feature inhibits interconnection tie power fluctuation between micro-capacitance sensor and bulk power grid, reduces micro-capacitance sensor to the adverse effect of power grid, by wide
General concern.As microgrid accesses power grid on a large scale, multiple neighbouring microgrids are formed mostly micro- because interconnecting needed for mutually confession in certain area
Net system.During microgrid develops to smart grid, more micro-grid systems become the novel power grid research after single microgrid
Hot spot, and how to coordinate research core and hot issue that multiple sub- microgrid high efficient and reliable operations are more microgrids.
The existing research spininess about more microgrids contact signal coordination control coordinates and optimizes more micro-grid system internal powers, not
Consider the influence of distribution scheduling and more micro-grid systems to distribution.Power shortage between single-phase sub- microgrid in single more microgrids of three-phase mixed connection
Difference is certainly existed, when different power shortages is injected into a certain phase, may cause three-phase imbalance phenomenon.If low-voltage network
Longtime running not only increases the electric energy loss of low-voltage circuit in three-phase current unbalance state, also increase distribution transformer, even
The loss of high-tension line reduces service life of equipment.It adversely affects, advises caused by power distribution network to reduce three-phase imbalance phenomenon
Determine three-phase current unbalance degree and is not to be exceeded 15%.
It finds by prior art documents, a kind of more microgrid control method for coordinating (invention based on PREDICTIVE CONTROL
Patent: CN201510050905.4) using Duality Decomposition method more micro-grid systems are resolved into multiple sub- microgrids dynamically associated
System；Then Lagrangian coordinating factor is introduced to convert problem to for two layers of hierarchical optimal problem of every sub- microgrid, dispersion
It solves；Finally coordinated using Gradient Iteration algorithm, obtain the value and power reference of each sub- microgrid, is by receiving calling module
Each sub- microgrid provides power reference value signal, realizes more microgrid coordinated controls.The control method can make full use of multiple sons
Microgrid realizes the Power Exchange of more micro-grid systems and major network, meets feeder line power and adjusts requirement, realizes the mostly micro- of parallel-connection structure
Group's coordinated control between net.But this method only considers more micro-grid system internal power coordination optimizations, does not consider distribution scheduling
And influence of more micro-grid systems to distribution.
Summary of the invention
The invention proposes the more microgrid power coordination control methods of single three-phase in the case of consideration distribution scheduling, mentioned methods
Each level micro-capacitance sensor dominant eigenvalues requirement can be met, and effectively reduce the system tri-phase unbalance factor, reduce power distribution network transformation
Device equipment loss and power grid electric energy loss improve the practicability of micro-capacitance sensor engineering.
Consider that the more microgrid power coordination control methods of single three-phase in the case of distribution scheduling, this method are based on particle swarm algorithm
Optimize the internet dominant eigenvalues value of each sub- microgrid, while considering that each energy-storage system correlated condition decision goes out each energy storage power output.
Further, the specific steps of which are as follows:
Step 1: domain type micro-capacitance sensor central controller receives dispatch value Pset；
Step 2: calculating each sub- microgrid stability margin MGm[Pdis,Pch], wherein PdisAnd PchRespectively sub- microgrid maximum can be put
Electricity and charge power；
Step 3: being based on particle swarm algorithm, obtain each single-phase microgrid group total activation nargin MMG' of phase sequence under ε <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 tri-phase unbalance factor constraint for the sub- microgrid group of each phase sequence, maximum can discharge down and charge power, b are the degree of unbalancedness of setting
Specified value；
Step 4: judging whether dispatch value is within the scope of more microgrid power outputs；
Step 5: if being not within the scope of more microgrid power outputs, each sub- microgrid maximum output in each phase sequence microgrid group, control
Process processed terminates；
Step 6: if total regulating power by three-phase microgrid group and single-phase microgrid group is poor within the scope of more microgrids power output
Three phase power difference P different, that decision makes up needed for it3-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 are uneven
Degree is constraint, the sub- microgrid group gross capability P of three kinds of phase sequences of decisionA-Phase,PB-Phase,PC-Phase, PA-PhaseIt contributes for A phase, PB-Phase
It contributes for B phase, PC-PhaseIt contributes for C phase；
Step 8: going out each sub- microgrid in each phase sequence micro-capacitance sensor group by phase sequence decision and contribute.
Further, the particle swarm optimization algorithm is turned to respectively with the single-phase sub- microgrid group charge-discharge electric power maximum of each phase sequence
Objective function obtains the single-phase sub- microgrid group of each phase sequence and is meeting maximum power adjusting nargin of the tri-phase unbalance factor less than b% when,
The objective function is as follows:
Wherein, P'dis(A-Pahse)、P'dis(B-Pahse)、P'dis(C-Pahse)For the single-phase sub- microgrid group 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 charge power of each phase sequence, f1It is micro- for the single-phase son of each phase sequence
Net the summation after group's discharge power maximizes, f2Summation after being maximized for the single-phase sub- microgrid group charge power of each phase sequence.
Further, the solution procedure of the single-phase sub- practical gross capability optimization problem of microgrid of three kinds of phase sequences can indicate such as
Under:
Objective function are as follows: min f=min | PA-Phase|+|PB-Phase|+|PC-Phase}
It should meet in optimization process:
By above-mentioned optimum results PA-Phase,PB-Phase,PC-Phase, each out according to each sub- microgrid power regulation capacity variance decision
Each sub- microgrid is specifically contributed in the sub- microgrid group of phase sequence.This method considers the constraint of system three-phase imbalance, excellent based on particle swarm algorithm
Change the internet dominant eigenvalues value of each sub- microgrid, while each energy storage power output is gone out based on each energy-storage system correlated condition decision.Mentioned side
Method can meet each level micro-capacitance sensor dominant eigenvalues requirement, and effectively reduce the system tri-phase unbalance factor, reduce power distribution network and become
Depressor equipment loss and power grid electric energy loss.
Compared with prior art, the invention has the advantages that and technical effect:
The invention proposes the more microgrid power coordination control methods of single three-phase in the case of consideration distribution scheduling.This method is examined
The constraint of worry system three-phase imbalance optimizes each sub- internet dominant eigenvalues value of microgrid based on particle swarm algorithm, while being based on each storage
Energy system correlated condition decision goes out each energy storage power output.Through case verification, mentioned method can meet each level micro-capacitance sensor interconnection function
Rate requirement, and the system tri-phase unbalance factor is effectively reduced, reduce the loss of power distribution network transformer equipment and power grid electric energy loss.
Detailed description of the invention
Fig. 1 is the more microgrid figures of single three-phase mixed connection.
Fig. 2 is the more microgrid power coordination control method flow charts of single three-phase considered in the case of distribution scheduling.
Specific embodiment
With reference to the accompanying drawing, the present invention is done and is further described in detail, embodiments of the present invention are not limited thereto.
Fig. 1 is the more microgrid figures of single three-phase mixed connection, and the present invention is based on the topology design power coordination control methods.
Fig. 2 is the more microgrid power coordination control method flow charts of single three-phase considered in the case of distribution scheduling, specific to walk
It is rapid as follows:
Step 1: domain type micro-capacitance sensor central controller receives dispatch value Pset；
Step 2: calculating each sub- microgrid stability margin MGm[Pdis,Pch]；
Step 3: being based on particle swarm algorithm, obtain each single-phase microgrid group total activation nargin MMG' of phase sequence under ε < 15%A-Phase
[Pdis',Pch'], MMG'B-Phase[Pdis',Pch'], MMG'C-Phase[Pdis',Pch']；
Step 4: judging whether dispatch value is within the scope of more microgrid power outputs；
Step 5: if being not within the scope of more microgrid power outputs, each sub- microgrid maximum output in each phase sequence microgrid group, control
Process processed terminates；
Step 6: if total regulating power by three-phase microgrid group and single-phase microgrid group is poor within the scope of more microgrids power output
Power difference P different, that decision makes up needed for it3-PhaseAnd P1-Phase；
Step 7: with min | PA-Phase|+|PB-Phase|+|PC-Phase| it is optimization aim, three-phase dominant eigenvalues are uneven
Degree is constraint, the sub- microgrid group gross capability P of three kinds of phase sequences of decisionA-Phase,PB-Phase,PC-Phase；
Step 8: going out each sub- microgrid in each phase sequence micro-capacitance sensor group by phase sequence decision and contribute.
Further, the particle swarm optimization algorithm is turned to respectively with the single-phase sub- microgrid group charge-discharge electric power maximum of each phase sequence
Objective function, obtain the single-phase sub- microgrid group of each phase sequence meet maximum power of the tri-phase unbalance factor less than 15% when adjust it is abundant
Degree, the objective function are as follows:
Further, the solution procedure of the single-phase sub- practical gross capability optimization problem of microgrid of three kinds of phase sequences can indicate such as
Under:
Objective function are as follows: min f=min | PA-Phase|+|PB-Phase|+|PC-Phase|}
It should meet in optimization process:
By above-mentioned optimum results PA-Phase,PB-Phase,PC-Phase, each out according to each sub- microgrid power regulation capacity variance decision
Each sub- microgrid is specifically contributed in the sub- microgrid group of phase sequence.
This method designs following example and carries out method validation.
Assuming that there are two the sub- microgrid MMGT1 and MMGT2 of three-phase, two sub- microgrids of A phase in a certain more microgrids of home cell type
MMGA1 and MMGA2, the sub- microgrid MMGB1 and MMGB2 of two B phases, the sub- microgrid MMGC of a C phase, it is mixed that they collectively constitute single three-phase
The more micro-grid systems of connection type.Distribution scheduling power is made up jointly by each sub- microgrid photovoltaic, load, energy storage, due to the more microgrids of light storage type
Only energy storage device has power regulation ability, therefore schedule power difference is made up by energy storage device in each sub- microgrid completely.Respectively
Sub- microgrid power regulation stability margin is as shown in table 1.
Table 1
Being lower than 15% with tri-phase unbalance factor is constraint condition, and the pole of each single-phase sub- microgrid group is acquired based on particle swarm algorithm
Limit adjusting nargin, i.e. MGA=[10.02kW, -8.00kW], MGB=[6.00kW, -12.90kW], MGC=[9.66kW, -
9.00kW]。
It can be obtained by the analysis of above-mentioned data, it is [49.68kW, -45.90kW] that the general power of more microgrids, which adjusts nargin, wherein three
Total adjusting nargin of mutually sub- microgrid group is [24.00kW, -16.00kW], and total adjusting nargin of single-phase sub- microgrid group is
[25.68kW, -29.90kW], can be according to the difference of the sub- microgrid group power regulation ability of single three-phase in specific power adjustment procedure
Distribution power difference.
This example design microgrid power coordination controlled load case more than three kinds tests the power coordination control strategy proposed
Card is followed successively by distribution scheduling instruction value and is within the scope of more microgrids power output (instruction value is positive/negative), and instruction value exceeds more microgrids
Power output range, concrete outcome are as shown in table 2.
(1) operating condition one: distribution scheduling instruction value is+40kW.
Distribution scheduling instruction value is in more microgrids power output range, according to the difference of the sub- microgrid group power regulation nargin of single three-phase
Different, by the pro rate dispatch command of 24.00kW:25.68kW, i.e. the sub- microgrid group of three-phase need to contribute 19.32kW, single-phase sub- microgrid
Group need to contribute 20.68kW.
With each single-phase sub- minimum optimization aim of microgrid charge-discharge electric power, system tri-phase unbalance factor is constraint condition, base
Go out the respective power output of the sub- microgrid group of three kinds of phase sequences in PSO algorithm decision, can obtain: [PA,PB,PC]=[8.20kW, 5.53kW,
6.95kW]。
Go out each phase according to each specific sub- microgrid power regulation stability margin difference and the required power shortage made up, decision
Each sub- microgrid energy storage device discharge power in sequence microgrid group, it is specific as shown in table 2.
Table 2
(2) operating condition two: distribution scheduling instruction value is -40kW.
Distribution scheduling instruction value is within the scope of more microgrids power output.According to the sub- microgrid group power regulation nargin of single three-phase
Difference can be instructed by the pro rate distribution scheduling of -16.00:-29.90, i.e. the sub- microgrid group of three-phase needs power output -13.94kW, single
Mutually sub- microgrid group needs power output -26.06kW.
With each single-phase sub- minimum optimization aim of microgrid charge-discharge electric power, system tri-phase unbalance factor is constraint condition, base
Go out the respective power output of the sub- microgrid group of three kinds of phase sequences in PSO algorithm decision, can obtain: [PA,PB,PC]=[- 7.84kW, -9.21kW, -
9.00kW]。
Go out each phase according to each specific sub- microgrid power regulation stability margin difference and the required power shortage made up, decision
Each sub- microgrid energy storage device charge power in sequence microgrid group, it is specific as shown in table 2.
(3) operating condition three: distribution scheduling instruction value is+60kW.
Distribution scheduling instruction value constrains lower maximal regulated nargin by degree of unbalancedness beyond more microgrids power output range, each sub- microgrid
Power output, specific power output are as shown in table 2.It is whole more at this time under maximum constraint of the system tri-phase unbalance factor lower than 15%
The practical power output of microgrid is 49.68kW, meets power distribution network dispatch command requirement far away, but can reduce system tri-phase unbalance factor to cause
System loss.In practical applications, traffic department can select to contribute or constrain by more microgrid stability margins according to actual needs
Under the conditions of adjust nargin power output.
Specific embodiment described in the invention is illustrated to spirit of that invention, and those skilled in the art can be with
Various modifications or supplement are made to this specific embodiment under the premise of without prejudice to the principle and substance of the present invention or using class
As mode substitute, but these changes each fall within protection scope of the present invention.Therefore the technology of the present invention range is not limited to
State embodiment.
Claims (2)
1. considering the more microgrid power coordination control methods of single three-phase in the case of distribution scheduling, it is characterised in that: be based on population
Each sub- internet dominant eigenvalues value of microgrid of algorithm optimization, while considering that each energy-storage system correlated condition decision goes out each energy storage power output,
Specific step is as follows:
Step 1: domain type micro-capacitance sensor central controller receives dispatch value Pset；
Step 2: calculating each sub- microgrid stability margin MGm[Pdis,Pch]；
Step 3: being based on particle swarm algorithm, obtain each single-phase microgrid group total activation nargin of phase sequence under tri-phase unbalance factor ε <b%
MMG'A-Phase[Pdis',Pch'], MMG'B-Phase[Pdis',Pch'], MMG'C-Phase[Pdis',Pch'], b is the degree of unbalancedness of setting
Specified value；The particle swarm algorithm turns to objective function respectively with the single-phase sub- microgrid group charge-discharge electric power maximum of each phase sequence, obtains
Each single-phase sub- microgrid group of phase sequence is meeting maximum power adjusting nargin of the tri-phase unbalance factor less than b% when, the objective function
It is as follows:
Wherein, P'dis(A-Pahse)、P'dis(B-Pahse)、P'dis(C-Pahse)For the single-phase sub- microgrid group 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 charge power of each phase sequence, f1It is micro- for the single-phase son of each phase sequence
Net the summation after group's discharge power maximizes, f2Summation after being maximized for the single-phase sub- microgrid group charge power of each phase sequence；
Step 4: judging dispatch value PsetWhether within the scope of more microgrids power output；
Step 5: if being not within the scope of more microgrid power outputs, each sub- microgrid maximum output in each phase sequence microgrid group, control stream
Journey terminates；
Step 6: if within the scope of more microgrids power output, by total regulating power difference of three-phase microgrid group and single-phase microgrid group,
The three-phase microgrid group's power difference P made up needed for decision3-PhaseWith the required single-phase microgrid group power difference P made up1-Phase；
Step 7: with the minimum optimization aim of the sub- microgrid group gross capability absolute value summation of three kinds of phase sequences, three-phase dominant eigenvalues are uneven
Weighing apparatus degree is constraint, the sub- microgrid group gross capability P of three kinds of phase sequences of decisionA-Phase,PB-Phase,PC-Phase；
Step 8: going out each sub- microgrid in each phase sequence micro-capacitance sensor group by phase sequence decision and contribute.
2. the single three-phase more microgrid power coordination control methods according to claim 1 considered in the case of distribution scheduling,
It is characterized in that:
The solution procedure of the single-phase sub- practical gross capability optimization problem of microgrid of three kinds of phase sequences is expressed as follows:
Objective function are as follows: minf=min | PA-Phase|+|PB-Phase|+|PC-Phase|}
It should meet in optimization process:
By above-mentioned optimum results PA-Phase,PB-Phase,PC-Phase, each phase is gone out according to each sub- microgrid power regulation capacity variance decision
Each sub- microgrid is specifically contributed in the sub- microgrid group of sequence, to control the power output of every sub- microgrid according to the result of decision.
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| CN103904695A (en) * | 2014-02-27 | 2014-07-02 | 浙江大学 | Nearby-island multi-microgrid dynamic scheduling method based on MCS-PSO |
| JP2015167461A (en) * | 2014-03-04 | 2015-09-24 | 日本電信電話株式会社 | Control method for photovoltaic power generation system |
| CN105406520A (en) * | 2016-01-06 | 2016-03-16 | 重庆邮电大学 | Economic dispatch optimization method of independent microgrid on basis of dual master control dynamic cooperation |
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| CN103904695A (en) * | 2014-02-27 | 2014-07-02 | 浙江大学 | Nearby-island multi-microgrid dynamic scheduling method based on MCS-PSO |
| JP2015167461A (en) * | 2014-03-04 | 2015-09-24 | 日本電信電話株式会社 | Control method for photovoltaic power generation system |
| CN105406520A (en) * | 2016-01-06 | 2016-03-16 | 重庆邮电大学 | Economic dispatch optimization method of independent microgrid on basis of dual master control dynamic cooperation |
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