CN106712082A - Distributed power generation system based on multi-agent system - Google Patents
Distributed power generation system based on multi-agent system Download PDFInfo
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- CN106712082A CN106712082A CN201611247370.0A CN201611247370A CN106712082A CN 106712082 A CN106712082 A CN 106712082A CN 201611247370 A CN201611247370 A CN 201611247370A CN 106712082 A CN106712082 A CN 106712082A
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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 present invention discloses a distributed power generation system based on multi-agent system. The distributed power generation system comprises a control system and a generation system. The control system comprises a main management multi-agent system, a harmony intelligent agent, a circuit management agent and a generation device agent. The main management multi-agent system is provided with an analysis module configured to perform data collection of load power consumption and the electric quantity production of a generation device and provide reasonable prediction; the generation device agent is connected with the generation device and is configured to monitor the operating environment of the generation device and control the operation state of the generation device; and the generation system comprises the generation device, a power converter, an energy storage device and a switch, the generation device is connected with the power converter, the power converter is connected with the energy storage device, the other end of the energy storage device is connected with a load, and the generation device is directly connected with the load through the power convertor. Through improvement of the distributed power generation system, the long-term stable power supply capacity of the microgrid is ensured, and the disadvantage of the unstable power grid current is solved.
Description
Technical field：
The present invention relates to a kind of distributed generation system, more particularly to a kind of distributed power generation system based on multiple agent
System.
Background technology：
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 power system of bulk power grid interconnection as generating electricity, the primary manner of transmission and disttrbution, but its operating cost is high, difficulty is big,
It is difficult in adapt to various electrical energy demands.
With investing, small, generate electricity the micro-capacitance sensor formed using distributed generation technology flexible, power supply reliability and clean environment firendly
Etc. advantage, get the attention and apply.But the green energy resource that distributed generation technology is used, such as wind-powered electricity generation, photovoltaic are right
High in environmental requirement, generating has the shortcomings that intermittent, randomness, and generation electric current is unstable, if directly application can be to load
Electrical equipment on circuit causes to damage.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 civil power comprehensive utilization, intelligent management and control is carried out to micro-capacitance sensor using scheduling system, solves micro-capacitance sensor life
Into the unstable shortcoming of electric current.But the distributed micro-grid system intellectuality is relatively low, it is impossible to reasonable prediction load institute subfam. Spiraeoideae, in hair
The power shortage state of compartment system is easily caused during electric inclement condition, being at this moment supported on peak period has to be connected with public electric wire net,
Power supply pressure of the public electric wire net in peak period is increased, the effect of distributed generation system is reduced.
The content of the invention：
The present invention is proposed based on above-mentioned technical problem, and multiple agent is introduced in distributed generation system, by pipe
Installing analysis module in reason intelligent body, to generated energy and the reasonable prediction of load power consumption, it is ensured that micro-capacitance sensor has steady in a long-term
Power supply capacity.By to generating equipment and energy storage device intelligentized control method, coordinating what generating equipment was produced using energy storage device
Electric current formed stabling current be conveyed to loaded line, solve distributed generation technology formation micro-capacitance sensor existing for electric current not
Stabilization shortcoming.
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, it is characterised in that the distributed generation system includes control
System processed and electricity generation system；The control system includes main management intelligent body, Harmony evaluation, Circuit management intelligent body, generating
Device intelligence body；The Harmony evaluation is connected with each intelligent body, carries out data transmission；The main management intelligent body is provided with point
Analysis module, can carry out Data Collection, and provide reasonable prediction to load power consumption and generating equipment electricity production；The generating equipment
Intelligent body is connected with generating equipment, and the running environment to generating equipment is monitored, and the running status to generating equipment is managed
Control；The electricity generation system includes generating equipment, supply convertor, energy storage device and switch；The generating equipment and power conversion
Device is connected, and converts the current to meet the electric current of 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 by supply convertor with load.
Further, the distributed generation system also include information intelligent body, described information collect intelligent body with
Harmony evaluation is connected, 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.
The present invention has the advantages that compared with prior art：
1. by applying distributed generation system of the invention, main management system is analyzed to each parameter, by analysis
Module prediction following generating, electricity consumption situation, rationally reduce load to public electric wire net using different system operational modes
Rely on, even if generator cannot normal operation, it is also possible to energy storage device is charged in the low power consumption phase by public electric wire net, by storing up
Energy device, to load supplying, demand of the peak times of power consumption to public electric wire net is supported on to reduce in peak times of power consumption.
2., by applying distributed generation system of the invention, reach to generator environment, generator power, load electricity consumption
The parameters such as power carry out real-time monitoring collection, and generator, energy storage device and load are protected.
3. by applying distributed generation system of the invention, between solving generator generation electric current presence using energy storage device
Having a rest property, the shortcoming of randomness, allow load to obtain stabling current, it is to avoid due to dynamo current it is unstable caused by load
Electrical appliance is damaged.
Brief description of the drawings：
Fig. 1 electricity generation system Anknupfungskeregriff figures 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 figures 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 that the purpose of the present invention, technical scheme and beneficial effect become more apparent, below in conjunction with accompanying drawing and specifically
Embodiment, is described in detail to a kind of distributed generation system based on multiple agent of the present invention.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
It is 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 converters are connected with battery, and photovoltaic generator is connected by DC/DC converters with battery；The battery passes through
DC/AC converters are connected with loaded line；The DC/AC converters are also become by logic switch with AC/DC converters, DC/DC
Parallel operation is connected；The loaded line is also connected with power network by logic switch；Also include wind-force in the distributed generation system
Generating intelligent body, photovoltaic 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 generation intelligent body and fuel cell intelligent body respectively with wind-driven generator, photovoltaic generation
Machine and electric generator using fuel battery are connected；The Harmony evaluation respectively with wind-power electricity generation intelligent body, photovoltaic 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
Close and loaded line connection.
When generating electricity, wind-power electricity generation intelligent body, photovoltaic 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 operation condition, sent by generator intelligent body and ordered
Order, starter-generator running, when environment is unsuitable for operated generator, is sent by generator intelligent body and ordered, and closes generator.
Generator intelligent body record generator power PGenerate electricityAnd main management intelligent body is sent to by Harmony evaluation.Generator produces electricity
Stream is changed to meet the direct current of battery input current requirement by AC/DC converters, is that battery charges.Battery discharges
Stable DC electric current, the alternating current supply load of stabilization is changed to by supply convertor.Electric current produced by generator also may be used
Load is directly fed with by DC/AC converters.Circuit management intelligent body is monitored and records the electric power storage power P of batteryElectric power storage, put
Electrical power PBattery dischargeWith loaded line electric power PLoad, and management and control is carried out to battery and logic switch.
Fig. 3 is the structure chart of main management intelligent body, data message is received by data receiver statistical module, by analysis module
Data message is summarized treatment, thus it is speculated that following possible generated output PGenerate electricityWith electric power PLoad, it is main to use analysis side
Formula is as follows：
Gather this daily electrical power PLoad 1, the electric power P with last week same dayLoad 2Compare, determine electricity consumption rate of change X, X
=PLoad 1/PLoad 2.According to daily electricity consumption change curve last week, electric power P tomorrow is speculated with reference to electricity consumption rate of change XLoad.For example
To speculate this Thursday possible electric power PThursday, gather this Wednesday electric power PWednesday, and with electric power P last WednesdayLast WednesdayThan
Compared with determining electricity consumption rate of change X, X=PWednesday/PLast Wednesday, then this Thursday possible electric power P is primarily determined thatThursday is preliminary=X (PLast Thursday)。
To guarantee to meet the maximum need for electricity of load, 20% is increased on the basis of the electric power for having speculated, determine that this Thursday is used
Electrical power PLoad=(1+20%) PThursday is preliminary。
The electric power P that will be speculatedLoadIt is divided into the power P in peak of power consumption periodPeak loadWith the power in low power consumption period
PLow ebb is loaded.Existing electricity, electric power storage power P with reference to 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 send
Breath makes operational decisions to distributed generation system, by performing command module through token manager, Member Manager and cooperation
Device is sent to each descending intelligent body.
Main system operational modes are as follows：
As the P of predictionGenerate electricity≥PLoad+PElectric power storageWhen, determine that system operational modes are meeting the base of load electric power for generator
On plinth, battery is charged, unnecessary electricity is conveyed into power network.Battery is controlled by Circuit management intelligent body during actual motion
Stop electric discharge, closure switch 1 and switch 2.The electric current that generator is produced is supplied by supply convertor directly to load and battery
Electricity, unnecessary electricity is conveyed into power network by switch 2.
As the P of predictionLoad≤PGenerate electricity＜ PLoad+PElectric power storageWhen, determine that system operational modes are meeting load electric work for generator
On the basis of rate, unnecessary electricity is conveyed into battery.Electric discharge is stopped by Circuit management intelligent body control battery during actual motion,
Closure switch 1, disconnect switch 2.The electric current that generator is produced is by the direct powering load of supply convertor, unnecessary electricity conveying
Enter battery.
As the P of predictionGenerate electricity＜ PLoad＜ PGenerate electricity+PBattery dischargeWhen, determine that system operational modes are load supplying, electric power storage for generator
Pond is load supplementary power.Stop charging by Circuit management intelligent body control battery during actual motion, coordinate generator discharge,
Closure switch 1, disconnect switch 2.By the direct powering load of supply convertor, battery is load to the electric current that generator is produced
Supplementary power.
As the P of predictionGenerate electricity+PBattery discharge＜ PLoad, and PGenerate electricity+PBattery discharge＞ PPeak loadWhen, determine system operational modes for electricity consumption is low
Paddy period, generator was that battery charges by public electric wire net to load supplying, by generator was load supplying in peak times of power consumption,
Battery is load supplementary power.Stop putting in low power consumption period control battery by Circuit management intelligent body during actual motion
Electricity, is charged, closure switch 2, disconnects switch 1.The electric current that generator is produced is loaded then directly for battery is charged
Powered by public electric wire net.Circuit management intelligent body stops charging in peak of power consumption period control battery, coordinates generator discharge,
Closure switch 1, disconnect switch 2.By the direct powering load of supply convertor, battery is load to the electric current that generator is produced
Supplementary power.
As the P of predictionGenerate electricity+PBattery discharge＜ PLoad, and PGenerate electricity+PBattery discharge＜ PPeak loadWhen, determine system operational modes for electricity consumption is low
Paddy period by public electric wire net to load and storage battery power supply, meet load need for electricity while by public electric wire net and generator
Battery is charged, it is ensured that PGenerate electricity+PBattery discharge≥PPeak load, so as to 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 during actual motion
Energy body stops electric discharge in low power consumption period control battery, is charged, closure switch 1, switch 2.The electricity that generator is produced
, directly for battery is charged, public electric wire net is while for load supplying by AC/DC converters for battery charges for stream.
Circuit management intelligent body stops charging in peak of power consumption period control battery, coordinates generator discharge, closure switch 1 to disconnect
Switch 2.By the direct powering load of supply convertor, battery is load supplementary power to the electric current that generator is produced.
The embodiment of the present invention is entered by distributed generation system of the application based on multiple agent, main management system to each parameter
Row analysis, following generating, the electricity consumption situation is predicted by analysis module, is rationally reduced using different system operational modes negative
Dependence to public electric wire net is carried, even if generator cannot normal operation, it is also possible to by public electric wire net in the low power consumption phase to storing
Battery is charged, and need of the peak times of power consumption to public electric wire net are supported on to reduce to load supplying in peak times of power consumption by battery
Ask.Reach simultaneously carries out real-time monitoring collection to parameters such as generator environment, generator power, load electric powers, and utilizes
Battery stable generator produces electric current, load is obtained stabling current, it is to avoid because dynamo current shakiness causes
Load on electrical appliance be damaged.
Embodiment two：
Fig. 4 is the distributed generation system figure of the multiple agent of embodiment two, and the generating of the distributed generation system sets
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
Cross AC/AC converters to be connected with flywheel energy storage, photovoltaic generator is connected by DC/AC converters with flywheel energy storage；The flywheel
Energy storage is connected by AC/AC converters with loaded line；The AC/AC converters also by logic switch and AC/AC converters,
DC/AC converters are connected；The loaded line is also connected with power network by logic switch；Also wrapped in the distributed generation system
Include wind-power electricity generation intelligent body, photovoltaic generation intelligent body, fuel cell intelligent body, main management intelligent body, Harmony evaluation, circuitron
Reason intelligent body and information intelligent body；The wind-power electricity generation intelligent body, photovoltaic generation intelligent body and fuel cell intelligent body point
It is not connected with wind-driven generator, photovoltaic generator and electric generator using fuel battery；The Harmony evaluation respectively with wind-power electricity generation intelligence
Can body, photovoltaic generation intelligent body, fuel cell intelligent body, main management intelligent body, Circuit management intelligent body and information intelligence
Body phase connects；The Circuit management intelligent body is connected with flywheel energy storage, logic switch and loaded line.
When generating electricity, wind-power electricity generation intelligent body, photovoltaic 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 operation condition, sent by generator intelligent body and ordered
Order, starter-generator running, when environment is unsuitable for operated generator, is sent by generator intelligent body and ordered, and closes generator.
Generator intelligent body record generator power PGenerate electricityAnd main management intelligent body is sent to by Harmony evaluation.Generator produces electricity
Stream is changed to meet the direct current of flywheel energy storage input current requirement by supply convertor, is that flywheel energy storage charges.Flywheel is stored up
Stable DC electric current can be discharged, the alternating current supply load of stabilization is changed to by AC/AC converters.Electricity produced by generator
Stream can also directly feed load by AC/AC converters.Circuit management intelligent body is monitored and records the energy storage work(of flywheel energy storage
Rate PEnergy storage, discharge power PBattery dischargeWith loaded line electric power PLoad, and management and control is carried out to flywheel energy storage and logic switch.
Information intelligent body is collected following illumination in generator area, wind intensity, the fuel quantity of fuel cell and is worked as
The history power consumption of ground load, main management intelligent body is sent to by Harmony evaluation, speculates following possible by analysis module
Generated output PGenerate electricityWith electric power PLoad, it is main to be exemplified below using analysis mode：
Mode one：To speculate the electric power P of this ThursdayThursday, passing Thursday weekly is collected to information intelligent body
Electric power counted, determine maximum power consumption power PThursday highest.To guarantee to meet the maximum need for electricity of load,
Increase by 20% on the maximum power consumption power level of determination, determine this Thursday electric power PLoad=(1+20%) PThursday highest。
Mode two：To speculate the electric power P of this ThursdayThursday, passing electricity consumption weekly is collected to information intelligent body
Changed power curve is counted, and calculates Wednesday to Thursday electric power rate of change X=PThursday/PWednesday, determine that Wednesday to Thursday is used
Electrical power maximum rate of change XIt is maximum, with reference to Wednesday electric power PThis WednesdayDetermine Thursday possible maximum power consumption power PThursday highest=XIt is maximum
PThis Wednesday.To guarantee to meet the maximum need for electricity of load, 20% is increased on fixed maximum power consumption power level, it is determined that
This Thursday electric power PLoad=(1+20%) XIt is maximumP this Wednesdays.
Electric power P is speculated by above-mentioned analysis methodLoad, by electric power PLoadIt is divided into the power in peak of power consumption period
PPeak loadWith the power P in low power consumption periodLow ebb is loaded.Existing electricity, energy storage power P with reference to flywheel energy storageEnergy storageAnd discharge power
PBattery dischargeFormulate following system operational modes.
Main system operational modes are as follows：
As the P of predictionGenerate electricity≥PLoad+PEnergy storageWhen, determine that system operational modes are meeting the base of load electric power for generator
On plinth, flywheel energy storage is charged, unnecessary electricity is conveyed into power network.Flywheel is controlled by Circuit management intelligent body during actual motion
Energy storage stops electric discharge, closure switch 1 and switch 2.The electric current that generator is produced is by supply convertor directly to load and flywheel
Energy storage for power supply, unnecessary electricity is conveyed into power network by switch 2.
As the P of predictionLoad≤PGenerate electricity＜ PLoad+PEnergy storageWhen, determine that system operational modes are meeting load electric work for generator
On the basis of rate, unnecessary electricity is conveyed into flywheel energy storage.Stopped by Circuit management intelligent body control flywheel energy storage during actual motion
Electric discharge, closure switch 1 disconnect switch 2.The electric current that generator is produced is by the direct powering load of supply convertor, unnecessary electricity
Amount is conveyed into flywheel energy storage.
As the P of predictionGenerate electricity＜ PLoad＜ PGenerate electricity+PBattery dischargeWhen, determine that system operational modes are load supplying, flywheel for generator
Energy storage is load supplementary power.Stop charging by Circuit management intelligent body control flywheel energy storage during actual motion, coordinate generator
Electric discharge, closure switch 1 disconnect switch 2.The electric current that generator is produced is by the direct powering load of supply convertor, flywheel storage
It can be load supplementary power.
As the P of predictionGenerate electricity+PBattery discharge＜ PLoad, and PGenerate electricity+PBattery discharge＞ PPeak loadWhen, determine system operational modes for electricity consumption is low
Paddy period, generator charged for flywheel energy storage by public electric wire net to load supplying, in peak times of power consumption by generator for load is supplied
Electricity, flywheel energy storage is load supplementary power.Stored up in low power consumption period control flywheel by Circuit management intelligent body during actual motion
Electric discharge can be stopped, being charged, closure switch 2 disconnect switch 1.The electric current that generator is produced is directly for flywheel energy storage is filled
Electricity, and load is then powered by public electric wire net.Circuit management intelligent body stops charging in peak of power consumption period control flywheel energy storage, matches somebody with somebody
Generator discharge is closed, closure switch 1 disconnect switch 2.The electric current that generator is produced is supplied by supply convertor directly to load
Electricity, flywheel energy storage is load supplementary power.
As the P of predictionGenerate electricity+PBattery discharge＜ PLoad, and PGenerate electricity+PBattery discharge＜ PPeak loadWhen, determine system operational modes for electricity consumption is low
Paddy period is powered by public electric wire net to load and flywheel energy storage, by public electric wire net and generating while load need for electricity is met
Machine charges to flywheel energy storage, it is ensured that PGenerate electricity+PBattery discharge≥PPeak load, so as to 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 during actual motion
Management intelligent body stops electric discharge in low power consumption period control flywheel energy storage, is charged, closure switch 1, switch 2.Generator
Directly for flywheel energy storage is charged, public electric wire net is the electric current of generation by AC/AC converters while for load supplying
Flywheel energy storage charges.Circuit management intelligent body stops charging in peak of power consumption period control flywheel energy storage, coordinates generator discharge,
Closure switch 1, disconnect switch 2.By the direct powering load of supply convertor, flywheel energy storage is negative to the electric current that generator is produced
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 fuel quantity of wind intensity, fuel cell and the history power consumption data acquisition of local load, make the main management intelligent body can be with
There are more data to be summarized the experience, following generated output P of Accurate PredictionGenerate electricityWith electric power PLoad, make distributed power generation
System can apply more appropriate system operating mode, to electric energy reasonable distribution, reach maximally utilizing for resource.Should in embodiment
With flywheel energy storage, life-span and the energy storage density of energy-storage units are improved, because its environmental hazard is small, be 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 area.
Claims (5)
1. a kind of distributed generation system based on multiple agent, it is characterised in that the distributed generation system includes control
System and electricity generation system；The control system includes that main management intelligent body, Harmony evaluation, Circuit management intelligent body, generating set
Standby intelligent body；The Harmony evaluation is connected with each intelligent body, carries out data transmission；The main management intelligent body is provided with analysis
Module, can carry out Data Collection, and provide reasonable prediction to load power consumption and generating equipment electricity production；The generating equipment intelligence
Energy body is connected with generating equipment, and the running environment to generating equipment is monitored, and the running status to generating equipment carries out management and control；
The electricity generation system includes generating equipment, supply convertor, energy storage device and switch；The generating equipment connects with supply convertor
Connect, convert the current to meet the electric current of energy storage device input specification；The supply convertor is connected with energy storage device；The storage
Energy device is also connected with load；The generating equipment is directly connected by supply convertor with load.
2. distributed generation system according to claim 1, it is characterised in that the distributed generation system also includes letter
Breath collect intelligent body, described information collect intelligent body be connected with Harmony evaluation, in automatic collection network announcement environment and bear
Carry power information.
3. distributed generation system according to claim 1, it is characterised in that the energy storage dress of the distributed generation system
It is set to battery.
4. distributed generation system according to claim 1, it is characterised in that the energy storage dress of the distributed generation system
It is set to flywheel energy storage.
5. distributed generation system according to claim 1, it is characterised in that the generating of the distributed generation system sets
It is standby to include wind-driven generator, photovoltaic generator, gas turbine and fuel cell.
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| CN108039726A (en) * | 2017-12-12 | 2018-05-15 | 国网山东省电力公司德州供电公司 | A kind of energy LAN distributed collaboration control method based on multi-agent system |
| CN109301878A (en) * | 2018-10-19 | 2019-02-01 | 三峡大学 | A kind of distributed generation resource consistency control method and control system based on multiple agent |
| CN112332540A (en) * | 2020-10-28 | 2021-02-05 | 上海交通大学 | Microgrid, and simulation device and method |
| CN112600241A (en) * | 2020-12-10 | 2021-04-02 | 中腾微网（北京）科技有限公司 | Micro-grid EMS energy management system |
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| CN108039726A (en) * | 2017-12-12 | 2018-05-15 | 国网山东省电力公司德州供电公司 | A kind of energy LAN distributed collaboration control method based on multi-agent system |
| CN108039726B (en) * | 2017-12-12 | 2021-02-09 | 国网山东省电力公司德州供电公司 | Energy local area network distributed cooperative control method based on multi-agent system |
| CN109301878A (en) * | 2018-10-19 | 2019-02-01 | 三峡大学 | A kind of distributed generation resource consistency control method and control system based on multiple agent |
| CN109301878B (en) * | 2018-10-19 | 2024-02-02 | 三峡大学 | Distributed power source consistency control method and control system based on multiple intelligent agents |
| CN112332540A (en) * | 2020-10-28 | 2021-02-05 | 上海交通大学 | Microgrid, and simulation device and method |
| CN112600241A (en) * | 2020-12-10 | 2021-04-02 | 中腾微网（北京）科技有限公司 | Micro-grid EMS energy management system |
| CN112600241B (en) * | 2020-12-10 | 2021-11-19 | 中腾微网（北京）科技有限公司 | Micro-grid EMS energy management system |
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