CN106712082B - A kind of distributed generation system based on multiple agent - Google Patents
A kind of distributed generation system based on multiple agent Download PDFInfo
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- CN106712082B CN106712082B CN201611247370.0A CN201611247370A CN106712082B CN 106712082 B CN106712082 B CN 106712082B CN 201611247370 A CN201611247370 A CN 201611247370A CN 106712082 B CN106712082 B CN 106712082B
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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
- H02J3/381—Dispersed generators
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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
- H02J3/30—Arrangements for balancing of the load in a network by storage of energy using dynamo-electric machines coupled to flywheels
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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
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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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
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/16—Mechanical energy storage, e.g. flywheels or pressurised fluids
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a kind of distributed generation systems based on multiple agent, including control system and electricity generation system；The control system includes main management intelligent body, Harmony evaluation, Circuit management intelligent body, generating equipment intelligent body；The main management intelligent body is equipped with analysis module, can carry out data collection to load electricity consumption and generating equipment electricity production, and provide reasonable prediction；The generating equipment intelligent body is connect with generating equipment, is monitored to the running environment of generating equipment, is managed to the operating status of generating equipment；The electricity generation system includes generating equipment, supply convertor, energy storage device and switch, generating equipment is connect with supply convertor, supply convertor is connected with energy storage device, and the energy storage device other end is connected with load, and generating equipment is directly connected with load by supply convertor.The present invention guarantees that micro-capacitance sensor has power supply capacity steady in a long-term by the improvement to distributed generation system, solves the unstable disadvantage of micro-capacitance sensor electric current.
Description
Technical field:
The present invention relates to a kind of distributed generation system, in particular to a kind of distributed power generation system based on multiple agent
System.
Background technique:
With economic development, the demand to electric power is growing day by day.The world at present or with centralized power generation, long distance power transmission with
And the electric system of bulk power grid interconnection as generate electricity, the primary manner of transmission and disttrbution, but its operating cost is high, difficulty is big,
It is difficult to adapt to the electrical energy demands of multiplicity.
The micro-capacitance sensor formed using distributed generation technology is small with investment, generates electricity flexible, power supply reliably and clean and environmental protection
Etc. advantages, get the attention and apply.But the green energy resource that distributed generation technology uses, such as wind-powered electricity generation, photovoltaic pair
In environmental requirement height, power generation has the shortcomings that intermittent, randomness, and it is unstable to generate electric current, if directly application can be to load
Electric appliance on route damages.Patent of invention CN201110326620.0 disclose it is a kind of using wind energy, light energy complementary and with
The distributed micro-grid system of alternating current comprehensive utilization carries out intelligent control to micro-capacitance sensor using scheduling system, it is raw to solve micro-capacitance sensor
At the disadvantage of electric current shakiness.But the distributed micro-grid system intelligence is lower, can not reasonable prediction load institute's electricity demand, sending out
The power shortage state that compartment system is easily caused when electric condition is severe, being at this moment supported on peak period has to be connected with public electric wire net,
Public electric wire net is increased in the power supply pressure of peak period, reduces the effect of distributed generation system.
Summary of the invention:
The present invention is proposed based on above-mentioned technical problem, multiple agent is introduced in distributed generation system, by pipe
Installing analysis module in intelligent body is managed, to the reasonable prediction of generated energy and load electricity consumption, it is steady in a long-term to guarantee that micro-capacitance sensor has
Power supply capacity.By being generated using energy storage device cooperation generating equipment to generating equipment and energy storage device intelligentized control method
Electric current forms stabling current and is conveyed to loaded line, solves electric current present in the micro-capacitance sensor of distributed generation technology formation not
Stablize disadvantage.
In order to solve the above technical problems, the present invention is as follows using scheme:
A kind of distributed generation system based on multiple agent, which is characterized in that the distributed generation system includes control
System and electricity generation system processed；The control system includes main management intelligent body, Harmony evaluation, Circuit management intelligent body, power generation
Device intelligence body；The Harmony evaluation is connect with each intelligent body, is carried out data transmission；The main management intelligent body is equipped with point
Module is analysed, data collection can be carried out to load electricity consumption and generating equipment electricity production, and provide reasonable prediction；The generating equipment
Intelligent body is connect with generating equipment, is monitored to the running environment of generating equipment, carries out pipe to the operating status of generating equipment
Control；The electricity generation system includes generating equipment, supply convertor, energy storage device and switch；The generating equipment and power conversion
Device connection, converts the current to the electric current for meeting energy storage device input specification；The supply convertor is connected with energy storage device；Institute
Energy storage device is stated also to be connected with load；The generating equipment is directly connected with load by supply convertor.
Further, the distributed generation system further includes that information collects intelligent body, the information collect intelligent body with
Harmony evaluation connects, the environment and load power information announced in automatic collection network.
Further, the energy storage device of the distributed generation system is battery.
Further, the energy storage device of the distributed generation system is flywheel energy storage.
Further, the generating equipment of the distributed generation system includes wind-driven generator, photovoltaic generator, combustion gas wheel
Machine and fuel cell.
Compared with prior art, the present invention has the following advantages:
1. main management system analyzes each parameter by applying distributed generation system of the invention, pass through analysis
Following power generation of module prediction, electricity consumption situation rationally reduce load to public electric wire net using different system operational modes
Rely on, though generator can not normal operation, can also by public electric wire net the low power consumption phase to energy storage device charge, by storing up
Energy device, to load supplying, is supported on demand of the peak times of power consumption to public electric wire net in peak times of power consumption to reduce.
2. being reached by applying distributed generation system of the invention to generator environment, generator power, load electricity consumption
The parameters such as power carry out real-time monitoring acquisition, protect to generator, energy storage device and load.
3. by applying distributed generation system of the invention, between existing using energy storage device solution generator generation electric current
The shortcomings that having a rest property, randomness, makes to load available stabling current, avoids due in the unstable caused load of dynamo current
Electrical appliance is impaired.
Detailed description of the invention:
Electricity generation system Anknupfungskeregriff figure Fig. 1 of the invention；
The distributed generation system figure of the multiple agent of Fig. 2 embodiment of the present invention one；
Fig. 3 main management Agentarchitecture figure of the present invention；
The distributed generation system figure of the multiple agent of Fig. 4 embodiment of the present invention two.
Specific embodiment:
In order to which the purpose of the present invention, technical solution and beneficial effect is more clearly understood, below in conjunction with attached drawing and specifically
A kind of distributed generation system based on multiple agent of the present invention is described in detail in embodiment.It is described herein specific
Embodiment is only used to explain the present invention, is not intended to limit the present invention.
Embodiment one:
Fig. 2 is the multiple agent electricity generation system figure of embodiment one, the generating equipment of the distributed generation system
For wind-driven generator, photovoltaic generator and electric generator using fuel battery；The wind-driven generator, electric generator using fuel battery pass through respectively
AC/DC converter is connected to the battery, and photovoltaic generator is connected to the battery by DC/DC converter；The battery passes through
DC/AC converter is connect with loaded line；The DC/AC converter also passes through logic switch and AC/DC converter, DC/DC become
Parallel operation is connected；The loaded line is also connect with power grid by logic switch；It further include wind-force in the distributed generation system
Generate electricity intelligent body, photovoltaic power generation intelligent body, fuel cell intelligent body, main management intelligent body, Harmony evaluation, Circuit management intelligence
Body；The wind-power electricity generation intelligent body, photovoltaic power generation intelligent body and fuel cell intelligent body respectively with wind-driven generator, photovoltaic power generation
Machine is connected with electric generator using fuel battery；The Harmony evaluation respectively with wind-power electricity generation intelligent body, photovoltaic power generation intelligent body, fuel
Battery intelligent body, main management intelligent body are connected with Circuit management intelligent body；The Circuit management intelligent body is opened with battery, logic
Pass is connected with loaded line.
In power generation, wind-power electricity generation intelligent body, photovoltaic power generation intelligent body and fuel cell intelligent body are respectively to generator work
Environmental condition needed for making carries out real-time monitoring.When environment meets generator operating condition, is sent and ordered by generator intelligent body
It enables, starts operated generator, when environment is unsuitable for operated generator, is sent and ordered by generator intelligent body, close generator.
Generator intelligent body records generator power PPower generationAnd main management intelligent body is sent to by Harmony evaluation.Generator generates electricity
Stream is changed to meet the direct current of battery input current requirement by AC/DC converter, to charge the battery.Battery release
Stable DC electric current is changed to stable alternating current supply load by supply convertor.Electric current caused by generator can also
To directly feed load by DC/AC converter.Circuit management intelligent body monitors and records the electric power storage power P of batteryElectric power storage, put
Electrical power PBattery dischargeWith loaded line electric power PLoad, and battery and logic switch are managed.
Fig. 3 is the structure chart of main management intelligent body, receives data information by data receiver statistical module, passes through analysis module
It summarizes processing to data information, thus it is speculated that the following possible generated output PPower generationWith electric power PLoad, main to use analysis side
Formula is as follows:
Acquire this daily electrical power PLoad 1, electric power P with last week same dayLoad 2Compare, determines electricity consumption change rate X, X
=PLoad 1/PLoad 2.According to daily electricity consumption change curve last week, electric power P tomorrow is speculated in conjunction with electricity consumption change rate XLoad.Such as
To speculate this Thursday possible electric power PThursday, acquire this Wednesday electric power PWednesday, and with electric power P last WednesdayLast WednesdayThan
Compared with determining electricity consumption change rate X, X=PWednesday/PLast Wednesday, then this Thursday possible electric power P is primarily determinedThursday is preliminary=X (PLast Thursday)。
To ensure to be able to satisfy the maximum power demand of load, increases by 20% on the basis of the electric power speculated, determine that this Thursday is used
Electrical power PLoad=(1+20%) PThursday is preliminary。
By the electric power P of suppositionLoadIt is divided into the power P of electricity peak periodPeak loadWith the power in low power consumption period
PLow ebb load.Existing electricity, electric power storage power P in conjunction with batteryElectric power storageWith discharge power PBattery dischargeFormulate following system operational modes simultaneously
It is sent to knowledge base.The real-time letter that system operational modes and data receiver statistical module in decision-making module combination knowledge base are sent
Breath makes operational decisions to distributed generation system, by executing command module through token manager, Member Manager and cooperation
Device is sent to each downlink intelligent body.
Main system operational modes are as follows:
As the P of predictionPower generation≥PLoad+PElectric power storageWhen, determine that system operational modes are generator in the base for meeting load electric power
It on plinth, charges to battery, extra electricity is conveyed into power grid.Battery is controlled by Circuit management intelligent body when actual motion
Stop electric discharge, closure switch 1 and switch 2.The electric current that generator generates is supplied by supply convertor directly to load and battery
Electricity, extra electricity are conveyed into power grid by switch 2.
As the P of predictionLoad≤PPower generation< PLoad+PElectric power storageWhen, determine that system operational modes are that generator is meeting load electric work
On the basis of rate, extra electricity is conveyed into battery.Electric discharge is stopped by Circuit management intelligent body control battery when actual motion,
Closure switch 1 disconnect switch 2.The electric current that generator generates passes through the direct powering load of supply convertor, extra electricity conveying
Enter battery.
As the P of predictionPower generation< PLoad< PPower generation+PBattery dischargeWhen, determine that system operational modes be generator are load supplying, electric power storage
Pond is load supplementary power.Charging is stopped by Circuit management intelligent body control battery when actual motion, cooperates generator discharge,
Closure switch 1 disconnect switch 2.For the electric current that generator generates by the direct powering load of supply convertor, battery is load
Supplementary power.
As the P of predictionPower generation+PBattery discharge< PLoad, and PPower generation+PBattery discharge> PPeak loadWhen, determine that system operational modes are that electricity consumption is low
Paddy period, generator by generator was load supplying in peak times of power consumption to charge the battery by public electric wire net to load supplying,
Battery is load supplementary power.It is put by Circuit management intelligent body in low power consumption period control battery stopping when actual motion
Electricity charges, closure switch 2, disconnects switch 1.The electric current that generator generates directly is that battery charges, and loads then
It is powered by public electric wire net.Circuit management intelligent body stops charging in electricity peak period control battery, cooperates generator discharge,
Closure switch 1 disconnect switch 2.For the electric current that generator generates by the direct powering load of supply convertor, battery is load
Supplementary power.
As the P of predictionPower generation+PBattery discharge< PLoad, and PPower generation+PBattery discharge< PPeak loadWhen, determine that system operational modes are that electricity consumption is low
Paddy period by public electric wire net to load and storage battery power supply, meet load power demand while by public electric wire net and generator
It charges to battery, it is ensured that PPower generation+PBattery discharge≥PPeak load, thus peak times of power consumption by generator be load supplying, electric power storage
Pond is load supplementary power, and reduction is supported on dependence of the peak times of power consumption to public electric wire net.By circuitron reason when actual motion
Energy body stops electric discharge in low power consumption period control battery, charges, closure switch 1, switch 2.The electricity that generator generates
Stream directly charges for battery, and public electric wire net passes through AC/DC converter to charge the battery while for load supplying.
Circuit management intelligent body stops charging in electricity peak period control battery, cooperates generator discharge, and closure switch 1 disconnect
Switch 2.For the electric current that generator generates by the direct powering load of supply convertor, battery is load supplementary power.
The embodiment of the present invention pass through apply the distributed generation system based on multiple agent, main management system to each parameter into
Row analysis, by following power generation of analysis module prediction, electricity consumption situation, rationally the different system operational modes of application are negative to reduce
Carry dependence to public electric wire net, though generator can not normal operation, can also by public electric wire net in the low power consumption phase to storage
Battery charging is supported on peak times of power consumption to the need of public electric wire net to reduce to load supplying in peak times of power consumption by battery
It asks.Reach simultaneously and real-time monitoring acquisition is carried out to parameters such as generator environment, generator power, load electric powers, and utilizes
Battery stable generator generates electric current, makes to load available stabling current, avoid since dynamo current shakiness causes
Load on electrical appliance it is impaired.
Embodiment two:
Fig. 4 is the distributed generation system figure of the multiple agent of embodiment two, and the power generation of the distributed generation system is set
Standby is wind-driven generator, photovoltaic generator and electric generator using fuel battery；The wind-driven generator, electric generator using fuel battery lead to respectively
It crosses AC/AC converter to be connected with flywheel energy storage, photovoltaic generator is connected by DC/AC converter with flywheel energy storage；The flywheel
Energy storage is connect by AC/AC converter with loaded line；The AC/AC converter also pass through logic switch and AC/AC converter,
DC/AC converter is connected；The loaded line is also connect with power grid by logic switch；It is also wrapped in the distributed generation system
Include wind-power electricity generation intelligent body, photovoltaic power generation intelligent body, fuel cell intelligent body, main management intelligent body, Harmony evaluation, circuitron
It manages intelligent body and information collects intelligent body；The wind-power electricity generation intelligent body, photovoltaic power generation intelligent body and fuel cell intelligent body point
It is not connect with wind-driven generator, photovoltaic generator and electric generator using fuel battery；The Harmony evaluation respectively with wind-power electricity generation intelligence
It can body, photovoltaic power generation intelligent body, fuel cell intelligent body, main management intelligent body, Circuit management intelligent body and information collection intelligence
Body is connected；The Circuit management intelligent body is connect with flywheel energy storage, logic switch and loaded line.
In power generation, wind-power electricity generation intelligent body, photovoltaic power generation intelligent body and fuel cell intelligent body are respectively to generator work
Environmental condition needed for making carries out real-time monitoring.When environment meets generator operating condition, is sent and ordered by generator intelligent body
It enables, starts operated generator, when environment is unsuitable for operated generator, is sent and ordered by generator intelligent body, close generator.
Generator intelligent body records generator power PPower generationAnd main management intelligent body is sent to by Harmony evaluation.Generator generates electricity
Stream is changed to meet the direct current of flywheel energy storage input current requirement by supply convertor, charges for flywheel energy storage.Flywheel storage
Stable DC electric current can be discharged, stable alternating current supply load is changed to by AC/AC converter.Electricity caused by generator
Stream can also directly feed load by AC/AC converter.Circuit management intelligent body monitors and records the energy storage function of flywheel energy storage
Rate PEnergy storage, discharge power PBattery dischargeWith loaded line electric power PLoad, and flywheel energy storage and logic switch are managed.
Information collect intelligent body collect following illumination in generator area, wind intensity, fuel cell fuel quantity and work as
The history electricity consumption of ground load, is sent to main management intelligent body by Harmony evaluation, is speculated by analysis module following possible
Generated output PPower generationWith electric power PLoad, mainly it is exemplified below using analysis mode:
Mode one: for the electric power P for speculating this ThursdayThursday, intelligent body is collected to information and collects passing Thursday weekly
Electric power counted, determine maximum power consumption power PThursday highest.To ensure to be able to satisfy the maximum power demand of load,
Increase by 20% on determining maximum power consumption power level, determines this Thursday electric power PLoad=(1+20%) PThursday highest。
Mode two: for the electric power P for speculating this ThursdayThursday, intelligent body is collected to information and collects passing electricity consumption weekly
Changed power curve is counted, and Wednesday to Thursday electric power change rate X=P is calculatedThursday/PWednesday, determine that Wednesday to Thursday is used
Electrical power maximum rate of change XIt is maximum, in conjunction with Wednesday electric power PThis WednesdayDetermine Thursday possible maximum power consumption power PThursday highest=XIt is maximum
PThis Wednesday.To ensure to be able to satisfy the maximum power demand of load, increases by 20% on fixed maximum power consumption power level, determine
This Thursday electric power PLoad=(1+20%) XIt is maximumP this Wednesday.
Electric power P is speculated by above-mentioned analysis methodLoad, by electric power PLoadIt is divided into the power of electricity peak period
PPeak loadWith the power P in low power consumption periodLow ebb load.Existing electricity, energy storage power P in conjunction with flywheel energy storageEnergy storageAnd discharge power
PBattery dischargeFormulate following system operational modes.
Main system operational modes are as follows:
As the P of predictionPower generation≥PLoad+PEnergy storageWhen, determine that system operational modes are generator in the base for meeting load electric power
It on plinth, charges to flywheel energy storage, extra electricity is conveyed into power grid.Flywheel is controlled by Circuit management intelligent body when actual motion
Energy storage stops electric discharge, closure switch 1 and switch 2.The electric current that generator generates is by supply convertor directly to load and flywheel
Energy storage for power supply, extra electricity are conveyed into power grid by switch 2.
As the P of predictionLoad≤PPower generation< PLoad+PEnergy storageWhen, determine that system operational modes are that generator is meeting load electric work
On the basis of rate, extra electricity is conveyed into flywheel energy storage.Stopped when actual motion by Circuit management intelligent body control flywheel energy storage
Electric discharge, closure switch 1 disconnect switch 2.The electric current that generator generates passes through the direct powering load of supply convertor, extra electricity
Amount is conveyed into flywheel energy storage.
As the P of predictionPower generation< PLoad< PPower generation+PBattery dischargeWhen, determine that system operational modes be generator are load supplying, flywheel
Energy storage is load supplementary power.Charging is stopped by Circuit management intelligent body control flywheel energy storage when actual motion, cooperates generator
Electric discharge, closure switch 1 disconnect switch 2.The electric current that generator generates passes through the direct powering load of supply convertor, flywheel storage
It can be load supplementary power.
As the P of predictionPower generation+PBattery discharge< PLoad, and PPower generation+PBattery discharge> PPeak loadWhen, determine that system operational modes are that electricity consumption is low
Paddy period, generator was flywheel energy storage charging by public electric wire net to load supplying, was supplied in peak times of power consumption by generator for load
Electricity, flywheel energy storage are load supplementary power.By Circuit management intelligent body in low power consumption period control flywheel storage when actual motion
It can stop electric discharge, charge, closure switch 2 disconnect switch 1.The electric current that generator generates directly is that flywheel energy storage is filled
Electricity, and load and then powered by public electric wire net.Circuit management intelligent body stops charging in electricity peak period control flywheel energy storage, matches
Generator discharge is closed, closure switch 1 disconnect switch 2.The electric current that generator generates is supplied by supply convertor directly to load
Electricity, flywheel energy storage are load supplementary power.
As the P of predictionPower generation+PBattery discharge< PLoad, and PPower generation+PBattery discharge< PPeak loadWhen, determine that system operational modes are that electricity consumption is low
Paddy period powers to load and flywheel energy storage by public electric wire net, by public electric wire net and power generation while meeting load power demand
Machine charges to flywheel energy storage, it is ensured that PPower generation+PBattery discharge≥PPeak load, thus peak times of power consumption by generator be load supplying,
Flywheel energy storage is load supplementary power, and reduction is supported on dependence of the peak times of power consumption to public electric wire net.By circuit when actual motion
It manages intelligent body and stops electric discharge in low power consumption period control flywheel energy storage, charge, closure switch 1, switch 2.Generator
The electric current of generation is directly that flywheel energy storage charges, and public electric wire net is by AC/AC converter while for load supplying
Flywheel energy storage charging.Circuit management intelligent body stops charging in electricity peak period control flywheel energy storage, cooperates generator discharge,
Closure switch 1 disconnect switch 2.The electric current that generator generates is negative by the direct powering load of supply convertor, flywheel energy storage
Carry supplementary power.
The embodiment of the present invention collects intelligent body by mount message in the controls, the light following to generator area
According to, the history electricity consumption data acquisition of the fuel quantity of wind intensity, fuel cell and local load, make main management intelligent body can be with
There are more data to summarize the experience, the generated output P in Accurate Prediction futurePower generationWith electric power PLoad, make distributed power generation
System can reach maximally utilizing for resource to electric energy reasonable distribution using more appropriate system operating mode.It is answered in embodiment
With flywheel energy storage, service life and the energy storage density of energy-storage units are improved, since its environmental hazard is small, is particularly suitable for mounting at residential block
Near, it is closely load supplying.
Non-elaborated part of the present invention is the common knowledge in this field.
Claims (1)
1. a kind of distributed generation system based on multiple agent, which is characterized in that the distributed generation system includes control
System and electricity generation system；The control system includes main management intelligent body, Harmony evaluation, Circuit management intelligent body, generating electricity sets
Standby intelligent body；The electricity generation system includes generating equipment, supply convertor, battery and switch；The Harmony evaluation and each
Intelligent body connection, carries out data transmission；The main management intelligent body is equipped with analysis module, can set to load electricity consumption and power generation
Standby electricity production carries out data collection, and provides reasonable prediction；The generating equipment intelligent body is connect with generating equipment, is set to power generation
Standby running environment is monitored, and is managed to the operating status of generating equipment；The generating equipment and supply convertor connect
It connects, converts the current to the electric current for meeting battery input specification；The supply convertor is connected to the battery；The battery
Also it is connected with load；The generating equipment is directly connected with load by supply convertor；The Circuit management intelligent body and storage
Battery, switch are connected with loaded line, and the distributed generation system further includes that information collects intelligent body, and the information collects intelligence
Energy body is connect with Harmony evaluation, the environment and load power information announced in automatic collection network；
The generating equipment of the distributed generation system is wind-driven generator, photovoltaic generator and electric generator using fuel battery；It is described
Wind-driven generator, electric generator using fuel battery pass through AC/DC converter respectively and are connected to the battery, and photovoltaic generator passes through DC/DC
Converter is connected to the battery；The battery is connect by DC/AC converter with loaded line；The DC/AC converter is also
It is connected by logic switch with AC/DC converter, DC/DC converter；The loaded line is also connected with power grid by logic switch
It connects；It further include wind-power electricity generation intelligent body, photovoltaic power generation intelligent body, fuel cell intelligent body in the generating equipment intelligent body；Institute
State wind-power electricity generation intelligent body, photovoltaic power generation intelligent body and fuel cell intelligent body respectively with wind-driven generator, photovoltaic generator and
Electric generator using fuel battery connection；The Harmony evaluation is also electric with wind-power electricity generation intelligent body, photovoltaic power generation intelligent body, fuel respectively
Pond intelligent body is connected；The Circuit management intelligent body is connect with battery, logic switch and loaded line；
The working method of the distributed generation system is as follows: power generation when, wind-power electricity generation intelligent body, photovoltaic power generation intelligent body and
Fuel cell intelligent body carries out real-time monitoring to environmental condition needed for generator work respectively；When environment meets generator work
It when condition, is sent and is ordered by generating equipment intelligent body, start operated generator, when environment is unsuitable for operated generator, by sending out
Electric equipment intelligent body sends order, closes generator；Generating equipment intelligent body records generator power PPower generationAnd by coordinating intelligence
Body is sent to main management intelligent body；Generator, which generates electric current and is changed to meet battery input current by AC/DC converter, to be wanted
The direct current asked, to charge the battery；Battery discharges stable DC electric current, and stable friendship is changed to by DC/AC converter
Galvanic electricity supply load；Electric current caused by generator can directly feed load by DC/AC converter；Circuit management intelligent body
Monitor and record the electric power storage power P of batteryElectric power storage, discharge power PBattery dischargeWith loaded line electric power PLoad, and to battery and
Logic switch is managed；
As the P of predictionPower generation≥PLoad+PElectric power storageWhen, determine that system operational modes are generator on the basis for meeting load electric power
On, it charges to battery, extra electricity is conveyed into power grid；
As the P of predictionLoad≤PPower generation< PLoad+PElectric power storageWhen, determine that system operational modes are that generator is meeting load electric power
On the basis of, extra electricity is conveyed into battery；
As the P of predictionPower generation< PLoad< PPower generation+PBattery dischargeWhen, determine that system operational modes be generator are load supplying, battery is
Load supplementary power；Electric power PLoadPower P including electricity peak periodPeak loadWith the power P in low power consumption periodLow ebb load,
As the P of predictionPower generation+PBattery discharge< PLoad, and PPower generation+PBattery discharge> PPeak loadWhen, determine system operational modes be low power consumption period by
For public electric wire net to load supplying, generator by generator is load supplying in peak times of power consumption, battery is to charge the battery
Load supplementary power；
As the P of predictionPower generation+PBattery discharge< PLoad, and PPower generation+PBattery discharge< PPeak loadWhen, when determining that system operational modes are low power consumption
Phase by public electric wire net to load and storage battery power supply, meet load power demand while by public electric wire net and generator to storage
Battery charges, it is ensured that PPower generation+PBattery discharge≥PPeak load, to by generator be load supplying in peak times of power consumption, battery is
Supplementary power is loaded, reduction is supported on dependence of the peak times of power consumption to public electric wire net.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611247370.0A CN106712082B (en) | 2016-12-29 | 2016-12-29 | A kind of distributed generation system based on multiple agent |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611247370.0A CN106712082B (en) | 2016-12-29 | 2016-12-29 | A kind of distributed generation system based on multiple agent |
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| Publication Number | Publication Date |
|---|---|
| CN106712082A CN106712082A (en) | 2017-05-24 |
| CN106712082B true CN106712082B (en) | 2019-08-02 |
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| Multi Agent系统在微电网协调控制中的应用研究;章健;《中国优秀硕士学位论文全文数据库》;20100415;第23-33页 |
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