CN106849191B - A kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm - Google Patents
A kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm Download PDFInfo
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- 230000002146 bilateral effect Effects 0.000 claims description 31
- 238000004146 energy storage Methods 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 3
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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
- H02J5/00—Circuit arrangements for transfer of electric power between ac networks and dc 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
- H02J3/26—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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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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
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- 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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Abstract
A kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm provided in an embodiment of the present invention, calculating is optimized by voltage, electric current and power of the particle swarm algorithm to micro-capacitance sensor, it is grid-connected that new energy 100% can be achieved, the power generation advantage for having given full play to distributed generation resource, improves the utilization rate of clean energy resource；Family's microgrid can be achieved, purely resistive is presented to alternating current, eliminates the harmonic pollution of generation of electricity by new energy and power electronic equipment to alternating current, increase power factor；Family's microgrid timesharing invariable power can be achieved, reduce the difficulty of higher level's dispatching of power netwoks, improve the stable operation ability of higher level's power grid；Solves the technical issues of utilization of new energy resources rate is insufficient and micro-capacitance sensor will cause to impact, and seriously affect the electric energy equilibrium of supply and demand and power quality to higher level's power grid.The embodiment of the present invention also provides a kind of alternating current-direct current wired home microgrid running gear based on particle swarm algorithm.
Description
Technical field
The present invention relates to family's micro-capacitance sensor field more particularly to a kind of alternating current-direct current wired home based on particle swarm algorithm are micro-
Net operation method.
Background technique
Current energy and environment problem is increasingly prominent, and development utilization renewable energy has become common recognition.And new energy is big
Power development will cause to impact to alternating current, and intermittent and unpredictability seriously affects the electric energy equilibrium of supply and demand and power quality.It passes
System grid operation mode is that power generation end follows user terminal to adjust generated energy, it is difficult to cope with the extensive access of intermittent energy source.Electricity
Net is the safe operation for guaranteeing itself, takes generation of electricity by new energy the mode strictly limited, leads to the reality of current new energy simultaneously
Net rate is less than 20%.
In addition, the traditional power grid method of operation can not make micro-capacitance sensor that purely resistive and timesharing invariable power be presented to higher level's power grid, and
And shortage cannot actively play " load of power quality insensitive " this kind of valuable " money to the dispatching of specific electrical equipment
Adjustment effect of the source " to the electric energy equilibrium of supply and demand.Therefore under this scheduling mode, become at random if accessing a large amount of generated energy by force
The new energy of change, it will power grid is polluted, electric network reliability is reduced.
It is existing alternating current-direct current mixing microgrid structure chart with reference to Fig. 1.It includes commercial power interface, isolated island switch, exchange mother
Line, exchange subnet, DC bus, direct current subnet, direct current new energy subnet, bilateral impedance type AC-DC converter module, power association
Same module.
With reference to Fig. 2, for traditional microgrid optimizing operation method flow chart.Traditional operation method is only with operating cost and pollutant
The minimum target for the treatment of cost cannot achieve micro-capacitance sensor and purely resistive and timesharing invariable power and new energy be presented to higher level's power grid
100% is grid-connected.Therefore under traditional method of operation, utilization of new energy resources rate is insufficient and micro-capacitance sensor will cause to rush to higher level's power grid
It hits, seriously affects the electric energy equilibrium of supply and demand and power quality, higher level's power grid is polluted, electric network reliability is reduced.
Summary of the invention
The embodiment of the invention provides a kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm, is used for
It solves utilization of new energy resources rate deficiency and micro-capacitance sensor will cause to impact to higher level's power grid, seriously affect the electric energy equilibrium of supply and demand and electric energy
The technical issues of quality.
A kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm provided in an embodiment of the present invention, packet
It includes:
S1: voltage, electric current and power data in acquisition family's micro-grid system；
S2: according to the voltage, electric current and power data random initializtion population；
S3: using the position of particle in the population as itself history optimum position and the fitness of each particle is calculated
Value, selects the position of the smallest particle of fitness value as global history optimum position from population；
S4: according to the speed of preset iterative formula more new particle and position；
S5: calculating the fitness value of updated each particle, by the fitness value of updated each particle with
The fitness value of each particle of correspondence before update is compared, select the position replacement of the small particle of fitness value it is described itself
History optimum position selects the position replacement of the smallest particle of fitness value from replaced itself history optimum position
The global history optimum position；
S6: repeating step S4 to S5, until the number of iterations in the iterative formula reaches preset greatest iteration
Number obtains the global history optimum position；
S7: it is controlled according to the voltage, electric current and power data for including in the vector form of the global history optimum position
The operation of family's micro-grid system.
Preferably, the fitness value for calculating particle is specifically calculated by following formula:
Wherein: Ploss=P1+P2+P3, P1The power loss of modulator, P are screened for power quality2For bilateral impedance type AC-
The power loss of DC converter, P3For the power loss of energy-storage module；LlossFor the life consumption of energy-storage module；To guarantee the grid-connected penalty function of new energy 100%；λ2Q2To guarantee that microgrid was externally presented purely resistive penalizes letter
Number；λ3(P*-P)2To guarantee to realize the penalty function of timesharing invariable power；
Wherein:
P1=f1(UAC,i1,i2,...,iN)+f2(UDC,i1,i2,...,iU)
P2=f3(i1,i2,...,iU,i1,i2,...,iV,P1,P2,...,PW,Pstore)
P3=f4(Pstore)
Lloss=f5(Pstore,soc)
Q=f6(uAC,iAC,iAC/DC,i1,i2,...,iM)
UACAc bus voltage is loaded for power quality insensitive；UDCIt is female for power quality insensitive load DC
Line voltage；uACFor ac bus voltage, uDCFor DC bus-bar voltage, iACFor ac bus electric current, iAC/DCFor the friendship of bilateral impedance type
DC converter current；Soc is storage system modules state-of-charge, P*It is instructed from higher level's power grid, i1,i2,...,iNFor exchange
Type power quality insensitive loads the electric current on 1~N；i1,i2,...,iM1~M is loaded for AC type power quality responsive type
On electric current；i1,i2,...,iUThe electric current on 1~U is loaded for once-through type power quality insensitive；i1,i2,...,iVIt is straight
Flow pattern power quality responsive type loads the electric current on 1~V；Pmax1,Pmax2,...,PmaxWFor the maximum of each direct current new energy module
Output power, P1,P2,...,PWFor the real output of each direct current new energy module, PstoreFor energy-storage module charge and discharge electric work
Rate,For the power-factor of load.
Preferably, step S1 is specifically included:
Acquire the electric current i in family's micro-grid system on 1~N of AC type power quality insensitive load1,i2,...,
iN；AC type power quality responsive type loads the electric current i on 1~M1,i2,...,iM；The load of once-through type power quality insensitive
Electric current i on 1~U1,i2,...,iU；Once-through type power quality responsive type loads the electric current i on 1~V1,i2,...,iV；It is each straight
Flow the peak power output P of new energy modulemax1,Pmax2,...,PmaxWAnd the real output of each direct current new energy module
P1,P2,...,PWIt is assigned to K dimensional input vector:
Preferably, step S2 is specifically included:
Random initializtion population sets the initial position and speed of each particle, and the population is by N number of particle group
At position of each particle in hyperspace is represented as the vector of following form:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is straight for the load of power quality insensitive
Flow busbar voltage, PstoreFor energy-storage module charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current.
Preferably, step S4 is specifically included:
Speed and the position of each particle are updated according to the following formula:
Wherein i=1,2 ... N, t are the number of iterations, and ω is inertial factor, c1,c2For Studying factors, r1,r2For 0 to 1 it
Between random number.
Preferably, the step S7 includes:
The vector form of the global history optimum position is indicated are as follows:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is straight for the load of power quality insensitive
Flow busbar voltage, PstoreFor storage system modules charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current；
By UAC,UDC,Pstore,iAC/DCIt is assigned to corresponding controller, so that the controller is according to UAC,UDC,Pstore,
iAC/DCThe operation of family's microgrid is controlled, keeps microgrid completely grid-connected in new energy, before purely resistive and timesharing invariable power externally is presented
Put the power loss for reaching power quality screening modulator, the power loss of bilateral impedance type AC-DC converter and storage system
The power loss minimum and service life longest of system.
A kind of alternating current-direct current wired home microgrid running gear based on particle swarm algorithm provided in an embodiment of the present invention, is based on
A kind of above-mentioned alternating current-direct current wired home microgrid operation method based on particle swarm algorithm is controlled, comprising:
Data acquisition module, for acquiring voltage, electric current and power data in family's micro-grid system；
Population initialization module, for according to the voltage, electric current and power data random initializtion population；
Position and fitness initial calculation module, for the position of particle in the population is best as itself history
Position and the fitness value for calculating each particle select the position of the smallest particle of fitness value as global history from population
Optimum position；
Iteration update module, for according to preset iterative formula more new particle speed and position；
Position and fitness update computing module, for calculating the fitness value of updated each particle, by described in more
The fitness value of fitness value each particle corresponding with before update of each particle after new is compared, and selects fitness value
Itself history optimum position is replaced in the position of small particle, selects from replaced itself history optimum position suitable
The position of the smallest particle of angle value is answered to replace the global history optimum position；
Iteration output module updates computing module for repeating iteration update module and position and fitness, until
The number of iterations in the iterative formula reaches preset maximum number of iterations, obtains the global history optimum position；
Control operation module, voltage, electric current for including in the vector form according to the global history optimum position
With power data control family's micro-grid system operation.
Preferably, population initialization module is specifically used for:
Random initializtion population sets the initial position and speed of each particle, and the population is by N number of particle group
At position of each particle in hyperspace is represented as the vector of following form:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is straight for the load of power quality insensitive
Flow busbar voltage, PstoreFor energy-storage module charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current.
Preferably, iteration update module is specifically used for:
Speed and the position of each particle are updated according to the following formula:
Wherein i=1,2 ... N, t are the number of iterations, and ω is inertial factor, c1,c2For Studying factors, r1,r2For 0 to 1 it
Between random number.
Preferably, control operation module is specifically used for:
The vector form of the global history optimum position is indicated are as follows:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is straight for the load of power quality insensitive
Flow busbar voltage, PstoreFor storage system modules charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current；
By UAC,UDC,Pstore,iAC/DCIt is assigned to corresponding controller, keeps microgrid completely grid-connected in new energy, is externally presented pure
Reach the power loss of power quality screening modulator under the premise of resistive and timesharing invariable power, bilateral impedance type AC-DC becomes
The power loss of parallel operation and the power loss minimum and service life longest of storage system.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that
A kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm provided in an embodiment of the present invention, passes through
Particle swarm algorithm optimizes calculating, it can be achieved that new energy 100% is grid-connected to the voltage, electric current and power of micro-capacitance sensor, sufficiently sends out
The power generation advantage for having waved distributed generation resource, improves the utilization rate of clean energy resource；Family's microgrid can be achieved, pure resistance is presented to alternating current
Property, eliminate the harmonic pollution of generation of electricity by new energy and power electronic equipment to alternating current, increase power factor；Family's microgrid point can be achieved
When invariable power, reduce higher level's dispatching of power netwoks difficulty, improve higher level's power grid stable operation ability；Solves utilization of new energy resources rate
The technical issues of insufficient and micro-capacitance sensor will cause to impact, and seriously affect the electric energy equilibrium of supply and demand and power quality to higher level's power grid.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other attached drawings according to these attached drawings.
Fig. 1 is alternating current-direct current mixing microgrid structure chart of the embodiment of the present invention for explanation；
Fig. 2 is traditional microgrid optimizing operation method flow chart of the embodiment of the present invention for explanation；
Fig. 3 is a kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm provided in an embodiment of the present invention
One embodiment flow chart；
Fig. 4 is a kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm provided in an embodiment of the present invention
An application examples flow chart.
Specific embodiment
The embodiment of the invention provides a kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm, is used for
It solves utilization of new energy resources rate deficiency and micro-capacitance sensor will cause to impact to higher level's power grid, seriously affect the electric energy equilibrium of supply and demand and electric energy
The technical issues of quality.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
Those of ordinary skill's all other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
Referring to Fig. 3, a kind of alternating current-direct current wired home microgrid fortune based on particle swarm algorithm provided in an embodiment of the present invention
One embodiment of row method, comprising:
101: voltage, electric current and power data in acquisition family's micro-grid system；
102: according to the voltage, electric current and power data random initializtion population；
103: using the position of particle in the population as itself history optimum position and calculating the fitness of each particle
Value, selects the position of the smallest particle of fitness value as global history optimum position from population；
104: according to the speed of preset iterative formula more new particle and position；
105: calculate the fitness value of updated each particle, by the fitness value of updated each particle with
The fitness value of each particle of correspondence before update is compared, select the position replacement of the small particle of fitness value it is described itself
History optimum position selects the position replacement of the smallest particle of fitness value from replaced itself history optimum position
The global history optimum position；
106: repeating step 104 to 105, change until the number of iterations in the iterative formula reaches preset maximum
Generation number obtains the global history optimum position；
107: being controlled according to the voltage, electric current and power data for including in the vector form of the global history optimum position
The operation of family's micro-grid system.
It is to a kind of alternating current-direct current wired home microgrid operation based on particle swarm algorithm provided in an embodiment of the present invention above
One embodiment of method is described in detail, below will be to provided in an embodiment of the present invention a kind of based on particle swarm algorithm
Another embodiment of alternating current-direct current wired home microgrid operation method is described in detail.
A kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm provided in an embodiment of the present invention it is another
One embodiment includes:
201: AC type power quality insensitive loads the electric current i on 1~N in acquisition family's micro-grid system1,
i2,...,iN；AC type power quality responsive type loads the electric current i on 1~M1,i2,...,iM；Once-through type power quality is non-sensitive
Type loads the electric current i on 1~U1,i2,...,iU；Once-through type power quality responsive type loads the electric current i on 1~V1,i2,...,
iV；The peak power output P of each direct current new energy modulemax1,Pmax2,...,PmaxWAnd the reality of each direct current new energy module is defeated
Power P out1,P2,...,PWIt is assigned to K dimensional input vector:
202: random initializtion population sets the initial position and speed of each particle, and the population is by N number of particle
Composition, position of each particle in hyperspace are represented as the vector of following form:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is straight for the load of power quality insensitive
Flow busbar voltage, PstoreFor energy-storage module charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current.
203: using the position of particle in the population as itself history optimum position and calculating the fitness of each particle
Value, selects the position of the smallest particle of fitness value as global history optimum position from population；
204: speed and the position of each particle are updated according to the following formula:
Wherein i=1,2 ... N, t are the number of iterations, and ω is inertial factor, c1,c2For Studying factors, r1,r2For 0 to 1 it
Between random number；
205: calculate the fitness value of updated each particle, by the fitness value of updated each particle with
The fitness value of each particle of correspondence before update is compared, select the position replacement of the small particle of fitness value it is described itself
History optimum position selects the position replacement of the smallest particle of fitness value from replaced itself history optimum position
The global history optimum position；
It should be noted that the replacement in step 205 is divided into two steps.The first step is first by updated each particle
The fitness value of fitness value each particle corresponding with before update be compared, i.e., compare two-by-two (just as having in office
Six people, this six people of today and oneself being compared for tomorrow), it is then selected in the particle of every two comparison and answers angle value small
The position of particle replace itself history optimum position.Second step is from replaced itself history optimum position
It (is like that fitness value is most in office that the global history optimum position is replaced in the position of the selection the smallest particle of fitness value
Small people acts as the leader, and after update, the smallest people of fitness value becomes another people, also becomes corresponding people then leading
).
206: repeating step 204 to 205, change until the number of iterations in the iterative formula reaches preset maximum
Generation number obtains the global history optimum position；
207: the vector form of the global history optimum position is indicated are as follows:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is straight for the load of power quality insensitive
Flow busbar voltage, PstoreFor storage system modules charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current；
By UAC,UDC,Pstore,iAC/DCIt is assigned to corresponding controller, keeps microgrid completely grid-connected in new energy, is externally presented pure
Reach the power loss of power quality screening modulator under the premise of resistive and timesharing invariable power, bilateral impedance type AC-DC becomes
The power loss of parallel operation and the power loss minimum and service life longest of storage system.
The fitness value for calculating particle is specifically calculated by following formula:
Wherein: Ploss=P1+P2+P3, P1The power loss of modulator, P are screened for power quality2For bilateral impedance type AC-
The power loss of DC converter, P3For the power loss of energy-storage module；LlossFor the life consumption of energy-storage module；To guarantee the grid-connected penalty function of new energy 100%；λ2Q2To guarantee that microgrid was externally presented purely resistive penalizes letter
Number；λ3(P*-P)2To guarantee to realize the penalty function of timesharing invariable power；
Wherein:
P1=f1(UAC,i1,i2,...,iN)+f2(UDC,i1,i2,...,iU)
P2=f3(i1,i2,...,iU,i1,i2,...,iV,P1,P2,...,PW,Pstore)
P3=f4(Pstore)
Lloss=f5(Pstore,soc)
Q=f6(uAC,iAC,iAC/DC,i1,i2,...,iM)
UACAc bus voltage is loaded for power quality insensitive；UDCIt is female for power quality insensitive load DC
Line voltage；uACFor ac bus voltage, uDCFor DC bus-bar voltage, iACFor ac bus electric current, iAC/DCFor the friendship of bilateral impedance type
DC converter current；Soc is storage system modules state-of-charge, P*It is instructed from higher level's power grid, i1,i2,...,iNFor exchange
Type power quality insensitive loads the electric current on 1~N；i1,i2,...,iM1~M is loaded for AC type power quality responsive type
On electric current；i1,i2,...,iUThe electric current on 1~U is loaded for once-through type power quality insensitive；i1,i2,...,iVIt is straight
Flow pattern power quality responsive type loads the electric current on 1~V；Pmax1,Pmax2,...,PmaxWFor the maximum of each direct current new energy module
Output power, P1,P2,...,PWFor the real output of each direct current new energy module, PstoreFor energy-storage module charge and discharge electric work
Rate,For the power-factor of load.
It is to a kind of alternating current-direct current wired home microgrid operation based on particle swarm algorithm provided in an embodiment of the present invention above
Another embodiment of method is described in detail, below will be to provided in an embodiment of the present invention a kind of based on particle swarm algorithm
One embodiment of alternating current-direct current wired home microgrid running gear be described in detail.
A kind of alternating current-direct current wired home microgrid running gear based on particle swarm algorithm provided in an embodiment of the present invention, is based on
A kind of above-mentioned alternating current-direct current wired home microgrid operation method based on particle swarm algorithm is controlled, comprising:
Data acquisition module, for acquiring voltage, electric current and power data in family's micro-grid system；
Population initialization module, for according to the voltage, electric current and power data random initializtion population；
Position and fitness initial calculation module, for the position of particle in the population is best as itself history
Position and the fitness value for calculating each particle select the position of the smallest particle of fitness value as global history from population
Optimum position；
Iteration update module, for according to preset iterative formula more new particle speed and position；
Position and fitness update computing module, for calculating the fitness value of updated each particle, by described in more
The fitness value of fitness value each particle corresponding with before update of each particle after new is compared, and selects fitness value
Itself history optimum position is replaced in the position of small particle, selects from replaced itself history optimum position suitable
The position of the smallest particle of angle value is answered to replace the global history optimum position；
Iteration output module updates computing module for repeating iteration update module and position and fitness, until
The number of iterations in the iterative formula reaches preset maximum number of iterations, obtains the global history optimum position；
Control operation module, voltage, electric current for including in the vector form according to the global history optimum position
With power data control family's micro-grid system operation.
Population initialization module is specifically used for:
Random initializtion population sets the initial position and speed of each particle, and the population is by N number of particle group
At position of each particle in hyperspace is represented as the vector of following form:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is straight for the load of power quality insensitive
Flow busbar voltage, PstoreFor energy-storage module charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current.
Iteration update module is specifically used for:
Speed and the position of each particle are updated according to the following formula:
Wherein i=1,2 ... N, t are the number of iterations, and ω is inertial factor, c1,c2For Studying factors, r1,r2For 0 to 1 it
Between random number.
Control operation module is specifically used for:
The vector form of the global history optimum position is indicated are as follows:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is straight for the load of power quality insensitive
Flow busbar voltage, PstoreFor storage system modules charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current；
By UAC,UDC,Pstore,iAC/DCIt is assigned to corresponding controller, keeps microgrid completely grid-connected in new energy, is externally presented pure
Reach the power loss of power quality screening modulator under the premise of resistive and timesharing invariable power, bilateral impedance type AC-DC becomes
The power loss of parallel operation and the power loss minimum and service life longest of storage system.
It is to a kind of alternating current-direct current wired home microgrid operation based on particle swarm algorithm provided in an embodiment of the present invention above
One embodiment of device is described in detail, below will be to provided in an embodiment of the present invention a kind of based on particle swarm algorithm
One application examples of alternating current-direct current wired home microgrid operation method is described in detail.
Referring to Fig. 4, a kind of alternating current-direct current wired home microgrid fortune based on particle swarm algorithm provided in an embodiment of the present invention
One application examples of row method includes:
Step 1: AC type power quality insensitive loads the electric current i on 1~N in acquisition family's micro-grid system1,
i2,...,iN；AC type power quality responsive type loads the electric current i on 1~M1,i2,...,iM；Once-through type power quality is non-sensitive
Type loads the electric current i on 1~U1,i2,...,iU；Once-through type power quality responsive type loads the electric current i on 1~V1,i2,...,
iV；The peak power output P of each direct current new energy modulemax1,Pmax2,...,PmaxWAnd the practical function of each direct current new energy module
Rate P1,P2,...,PWIt is assigned to K dimensional input vector:
Step 2: random initializtion population sets the initial position and speed of each particle, and the population is by N number of grain
Son composition, position of each particle in hyperspace is represented as the vector of following form.
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is straight for the load of power quality insensitive
Flow busbar voltage, PstoreFor storage system modules charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current.
Step 3: the fitness value of each particle calculates as follows in population:
Wherein: Ploss=P1+P2+P3, P1The power loss of modulator, P are screened for power quality2For bilateral impedance type AC-
The power loss of DC converter, P3For the power loss of storage system modules；LlossFor storage system modules life consumption；To can guarantee the grid-connected penalty function of new energy 100%；λ2Q2To can guarantee that purely resistive is externally presented in microgrid
Penalty function；λ3(P*-P)2To guarantee to realize the penalty function of timesharing invariable power.
Wherein:
P1=f1(UAC,i1,i2,...,iN)+f2(UDC,i1,i2,...,iU)
P2=f3(i1,i2,...,iU,i1,i2,...,iV,P1,P2,...,PW,Pstore)
P3=f4(Pstore)
Lloss=f5(Pstore,soc)
Q=f6(uAC,iAC,iAC/DC,i1,i2,...,iM)
UACPower quality insensitive loads ac bus voltage；UDCFor power quality insensitive load DC bus
Voltage；uACFor ac bus voltage, iACFor ac bus electric current, iAC/DCFor bilateral impedance type AC/DC convertor electric current；soc
For storage system modules state-of-charge, P*It is instructed from higher level's power grid.
Step 4: by the initial position of each particleAs its history optimum positionAnd its fitness value is calculated, so
Selecting the smallest particle of fitness value from population afterwards is current global optimum's particle, and position is denoted as
Step 5: speed and the position of each particle are updated according to the following formula:
Wherein i=1,2 ... N:t are the number of iterations, and ω is inertial factor, c1,c2For Studying factors, r1,r2For [0,1] it
Between random number；
Step 6: updated each particle is calculated using the method for step 3Fitness value, and by its with
Itself history optimum positionWith global history optimum positionCorresponding fitness value compares, if the adaptation of current particle
Angle value is smaller, then corresponding with its replacementOr
Step 7: step 5~6 are repeated until reaching maximum number of iterations, and it is as follows can to obtain global optimum's particle:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is straight for the load of power quality insensitive
Flow busbar voltage, PstoreFor storage system modules charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current.
Step 8: by UAC,UDC,Pstore,iAC/DCIt is assigned to corresponding controller, keeps microgrid completely grid-connected in new energy, externally
Reach power loss, the bilateral impedance type of power quality screening modulator under the premise of purely resistive and timesharing invariable power is presented
The power loss of AC-DC converter and the power loss minimum and service life longest of storage system.
The present invention utilizes population optimization algorithm, for the alternating current-direct current wired home microgrid based on generation of electricity by new energy,
To power loss, the power loss of bilateral impedance type AC-DC converter and the function of storage system of power quality screening modulator
Rate loss carries out cooperateing with optimization with service life and electrical equipment power consumption situation, to realize wired home microgrid new
Efficiency under the premise of the grid-connected and external presentation purely resistive of the energy 100% and timesharing invariable power maximizes, in theory
Above so that domestic electric network realizes no pollution to higher level's power grid.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (9)
1. a kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm characterized by comprising
S1: voltage, electric current and power data in acquisition family's micro-grid system；
S2: according to the voltage, electric current and power data random initializtion population；
S3: using the position of particle in the population as itself history optimum position and calculating the fitness value of each particle, from
Select the position of the smallest particle of fitness value as global history optimum position in population；
S4: according to the speed of preset iterative formula more new particle and position；
S5: the fitness value of updated each particle is calculated, by the fitness value of updated each particle and update
The fitness value of each particle of preceding correspondence is compared, itself history is replaced in the position for the particle for selecting fitness value small
Optimum position is selected from replaced itself history optimum position described in the position replacement of the smallest particle of fitness value
Global history optimum position；
S6: repeating step S4 to S5, until the number of iterations in the iterative formula reaches preset maximum number of iterations,
Obtain the global history optimum position；
S7: family is controlled according to the voltage, electric current and power data for including in the vector form of the global history optimum position
Micro-grid system operation；
The fitness value for calculating particle is specifically calculated by following formula:
Wherein: Ploss=P1+P2+P3, P1The power loss of modulator, P are screened for power quality2For bilateral impedance type AC-DC change
The power loss of parallel operation, P3For the power loss of energy-storage module；LlossFor the life consumption of energy-storage module；For
Guarantee the grid-connected penalty function of new energy 100%；λ2Q2To guarantee that the penalty function of purely resistive is externally presented in microgrid；λ3(P*-P)2To protect
Confirm the penalty function of existing timesharing invariable power；
Wherein:
P1=f1(UAC,i1,i2,...,iN)+f2(UDC,i1,i2,...,iU)
P2=f3(i1,i2,...,iU,i1,i2,...,iV,P1,P2,...,PW,Pstore)
P3=f4(Pstore)
Lloss=f5(Pstore,soc)
Q=f6(uAC,iAC,iAC/DC,i1,i2,...,iM)
UACAc bus voltage is loaded for power quality insensitive；UDCFor power quality insensitive load DC bus electricity
Pressure；uACFor ac bus voltage, uDCFor DC bus-bar voltage, iACFor ac bus electric current, iAC/DCFor bilateral impedance type alternating current-direct current
Converter current；Soc is storage system modules state-of-charge, P*It is instructed from higher level's power grid, i1,i2,...,iNFor AC type electricity
Energy quality insensitive loads the electric current on 1~N；i1,i2,...,iMIt is loaded on 1~M for AC type power quality responsive type
Electric current；i1,i2,...,iUThe electric current on 1~U is loaded for once-through type power quality insensitive；i1,i2,...,iVFor once-through type
Power quality responsive type loads the electric current on 1~V；Pmax1,Pmax2,...,PmaxWFor the maximum output of each direct current new energy module
Power, P1,P2,...,PWFor the real output of each direct current new energy module, PstoreFor energy-storage module charge-discharge electric power,For the power-factor of load.
2. a kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm according to claim 1, special
Sign is that the step S1 is specifically included:
Acquire the electric current i in family's micro-grid system on 1~N of AC type power quality insensitive load1,i2,...,iN；It hands over
Flow pattern power quality responsive type loads the electric current i on 1~M1,i2,...,iM；Once-through type power quality insensitive loads 1~U
On electric current i1,i2,...,iU；Once-through type power quality responsive type loads the electric current i on 1~V1,i2,...,iV；Each direct current is new
The peak power output P of energy modulemax1,Pmax2,...,PmaxWAnd the real output P of each direct current new energy module1,
P2,...,PWIt is assigned to K dimensional input vector:
3. a kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm according to claim 1, special
Sign is that the step S2 is specifically included:
Random initializtion population sets the initial position and speed of each particle, and the population is made of N number of particle, often
Position of a particle in hyperspace is represented as the vector of following form:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is female for power quality insensitive load DC
Line voltage, PstoreFor energy-storage module charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current.
4. a kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm according to claim 1, special
Sign is that the step S4 is specifically included:
Speed and the position of each particle are updated according to the following formula:
Wherein i=1,2 ... N, t are the number of iterations, and ω is inertial factor, c1,c2For Studying factors, r1,r2For between 0 to 1 with
Machine number.
5. a kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm according to claim 1, special
Sign is that the step S7 is specifically included:
The vector form of the global history optimum position is indicated are as follows:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is female for power quality insensitive load DC
Line voltage, PstoreFor storage system modules charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current；
By UAC,UDC,Pstore,iAC/DCIt is assigned to corresponding controller, so that the controller is according to UAC,UDC,Pstore,iAC/DCControl
The operation of family's microgrid.
6. a kind of alternating current-direct current wired home microgrid running gear based on particle swarm algorithm, based on any one in claim 1 to 5
A kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm described in is controlled, which is characterized in that packet
It includes:
Data acquisition module, for acquiring voltage, electric current and power data in family's micro-grid system；
Population initialization module, for according to the voltage, electric current and power data random initializtion population；
Position and fitness initial calculation module, for using the position of particle in the population as itself history optimum position
And the fitness value of each particle is calculated, select the position of the smallest particle of fitness value best as global history from population
Position；
Iteration update module, for according to preset iterative formula more new particle speed and position；
Position and fitness update computing module, for calculating the fitness value of updated each particle, after the update
The fitness value of fitness value each particle corresponding with before update of each particle be compared, select fitness value small
Itself history optimum position is replaced in the position of particle, selects fitness from replaced itself history optimum position
Replace the global history optimum position in the position for being worth the smallest particle；
Iteration output module updates computing module for repeating iteration update module and position and fitness, until described
The number of iterations in iterative formula reaches preset maximum number of iterations, obtains the global history optimum position；
Control operation module, voltage, electric current and function for including in the vector form according to the global history optimum position
Rate data control the operation of family's micro-grid system；
The fitness value for calculating particle is specifically calculated by following formula:
Wherein: Ploss=P1+P2+P3, P1The power loss of modulator, P are screened for power quality2For bilateral impedance type AC-DC change
The power loss of parallel operation, P3For the power loss of energy-storage module；LlossFor the life consumption of energy-storage module；For
Guarantee the grid-connected penalty function of new energy 100%；λ2Q2To guarantee that the penalty function of purely resistive is externally presented in microgrid；λ3(P*-P)2To protect
Confirm the penalty function of existing timesharing invariable power；
Wherein:
P1=f1(UAC,i1,i2,...,iN)+f2(UDC,i1,i2,...,iU)
P2=f3(i1,i2,...,iU,i1,i2,...,iV,P1,P2,...,PW,Pstore)
P3=f4(Pstore)
Lloss=f5(Pstore,soc)
Q=f6(uAC,iAC,iAC/DC,i1,i2,...,iM)
UACAc bus voltage is loaded for power quality insensitive；UDCFor power quality insensitive load DC bus electricity
Pressure；uACFor ac bus voltage, uDCFor DC bus-bar voltage, iACFor ac bus electric current, iAC/DCFor bilateral impedance type alternating current-direct current
Converter current；Soc is storage system modules state-of-charge, P*It is instructed from higher level's power grid, i1,i2,...,iNFor AC type electricity
Energy quality insensitive loads the electric current on 1~N；i1,i2,...,iMIt is loaded on 1~M for AC type power quality responsive type
Electric current；i1,i2,...,iUThe electric current on 1~U is loaded for once-through type power quality insensitive；i1,i2,...,iVFor once-through type
Power quality responsive type loads the electric current on 1~V；Pmax1,Pmax2,...,PmaxWFor the maximum output of each direct current new energy module
Power, P1,P2,...,PWFor the real output of each direct current new energy module, PstoreFor energy-storage module charge-discharge electric power,For the power-factor of load.
7. a kind of alternating current-direct current wired home microgrid running gear based on particle swarm algorithm according to claim 6, special
Sign is that the population initialization module is specifically used for:
Random initializtion population sets the initial position and speed of each particle, and the population is made of N number of particle, often
Position of a particle in hyperspace is represented as the vector of following form:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is female for power quality insensitive load DC
Line voltage, PstoreFor energy-storage module charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current.
8. a kind of alternating current-direct current wired home microgrid running gear based on particle swarm algorithm according to claim 6, special
Sign is that the iteration update module is specifically used for:
Speed and the position of each particle are updated according to the following formula:
Wherein i=1,2 ... N, t are the number of iterations, and ω is inertial factor, c1,c2For Studying factors, r1,r2For between 0 to 1 with
Machine number.
9. a kind of alternating current-direct current wired home microgrid running gear based on particle swarm algorithm according to claim 6, special
Sign is,
The control operation module is specifically used for:
The vector form of the global history optimum position is indicated are as follows:
Wherein, UACAc bus voltage, U are loaded for power quality insensitiveDCIt is female for power quality insensitive load DC
Line voltage, PstoreFor storage system modules charge-discharge electric power, iAC/DCFor bilateral impedance type AC/DC convertor electric current；
By UAC,UDC,Pstore,iAC/DCIt is assigned to corresponding controller, so that the controller is according to UAC,UDC,Pstore,iAC/DCControl
The operation of family's microgrid.
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| CN105631152A (en) * | 2016-01-07 | 2016-06-01 | 广东工业大学 | PSO (Particle Swarm Optimization)-based wind energy capturing method of VSVF (Variable-speed Variable-frequency) wind power system |
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| CN103972908A (en) * | 2014-05-23 | 2014-08-06 | 国家电网公司 | Multi-target reactive power optimization method based on adaptive chaos particle swarm algorithm |
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