CN107104460A - A kind of intelligent DC micro-grid system - Google Patents
A kind of intelligent DC micro-grid system Download PDFInfo
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- CN107104460A CN107104460A CN201710344434.7A CN201710344434A CN107104460A CN 107104460 A CN107104460 A CN 107104460A CN 201710344434 A CN201710344434 A CN 201710344434A CN 107104460 A CN107104460 A CN 107104460A
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- H02J3/383—
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- H02J13/0062—
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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
-
- 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
- H02J3/388—Islanding, i.e. disconnection of local power supply from the network
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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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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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
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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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
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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
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
- Y02P80/14—District level solutions, i.e. local energy networks
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/14—Energy storage units
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Abstract
The invention discloses a kind of intelligent DC micro-grid system, DC micro power grid system intelligent control, effective monitoring DC micro power grid system machine operation are carried out by remote terminal, and can in time understand and handle DC micro power grid system unit exception situation；In addition the supervising device of the micro-grid system can determine the generated output of photovoltaic power generation array, determine that energy storage device provides the conversion efficiency of electric energy to power distribution network, determine the power load in direct-current grid, and the power load that is provided to power distribution network in the conversion efficiency and direct-current grid of electric energy of generated output, the energy storage device according to Distributed-generation equipment determines the capacity of energy storage device；In addition, the system can also be realized from islet operation to taking over seamlessly for being incorporated into the power networks.
Description
Art
The present invention relates to transmission ＆ distribution electrical domain, and in particular to a kind of intelligent DC micro-grid system.
Background technology
With the increasingly exacerbation of gradually exhaustion and the environmental pollution of conventional energy resource, countries in the world growing interest solar energy, wind
Energy, battery, flywheel energy storage distributed generation technology.Micro-capacitance sensor is as the important part of intelligent grid, to new energy
Popularization, the energy-saving, new and high technology that reduction charcoal discharge capacity is significant, micro-capacitance sensor are combined also by state with traditional power network
Inside and outside expert is unanimously considered the development trend of Future Power System.
Distributed hair electric system that micro-capacitance sensor is made up of the photovoltaic distributed energy and load, controllable, wherein,
The micro-capacitance sensor referred to as direct-current grid that electric energy is transmitted in the form of direct current, utilized.Simultaneously for exchange micro-capacitance sensor, directly
The advantages of stream micro-capacitance sensor has simple in construction, easy to control, with bigger development potentiality.
Direct-current grid be distributed power supply module and associated loadings module, energy-storage module according to certain topological structure (such as
Bus structures, ring busbars structure etc.) composition network, but central controlled method being used current direct-current grid more,
The distributed feature of direct-current grid can not be highlighted.And centerized fusion depends on reliable ICT, but at present
The reliability of the DC micro power grid system communication technology be insufficient for the demand that micro-capacitance sensor is run steadily in the long term.
Direct-current grid has played its technical, economy, spirit with the conversion between grid-connected two kinds of methods of operation with isolated island
Activity advantage.Can be seamlessly transitted in method of operation handoff procedure, be micro-capacitance sensor can ensure system safe and stable operation with
And the key point of load power supply reliability.
The content of the invention
The present invention provides a kind of intelligent DC micro-grid system, and carrying out DC micro power grid system by remote terminal intelligently controls
System, effective monitoring DC micro power grid system machine operation, and can understand in time and to handle DC micro power grid system equipment different
Reason condition；In addition the supervising device of the micro-grid system can determine the generated output of photovoltaic power generation array, determine energy storage device
The conversion efficiency of electric energy is provided to power distribution network, the power load in direct-current grid is determined, and according to Distributed-generation equipment
Generated output, energy storage device to power distribution network provide electric energy conversion efficiency and direct-current grid in power load determine energy storage
The capacity of device；In addition, the system can also be realized from islet operation to taking over seamlessly for being incorporated into the power networks.
To achieve these goals, the present invention provides a kind of intelligent DC micro-grid system, including：Photovoltaic power generation array,
Multiple local loads, grid-connected module, energy storage device, supervising device and dc bus；
The grid-connected module is used to control the DC micro power grid system islet operation or be incorporated into the power networks with power distribution network；
The dc bus, for connecting energy storage device, photovoltaic power generation array, grid-connected module and local load, for micro-
The Power Exchange of Power Exchange and micro-grid system and power distribution network in network system；
The supervising device includes：
Photovoltaic power generation array monitoring module, for monitoring photovoltaic power generation array in real time, and to the generating of photovoltaic power generation array
Power is predicted；
Parallel control module, for monitoring grid-connected module in real time；
Load monitoring module, for monitoring the load in micro-capacitance sensor in real time, and is predicted to the power of load consumption；
Energy storage device monitoring module, the operation for monitoring energy storage device in real time；
Middle control module, the operation method for determining micro-capacitance sensor, and for each module work in coordinated monitoring device；
Communication bus, the liaison for the modules of the supervising device.
It is preferred that, the photovoltaic power generation array includes multiple photovoltaic electrification components and multiple photovoltaic controllers, and described
Photovoltaic controller is connected with photovoltaic module and dc bus.
It is preferred that, the middle control module includes information process unit, policy optimization unit and control instruction determining unit；Institute
Communication bus is stated to can be used for gathering the photovoltaic power generation array, the local load, the energy storage device, the operation of grid-connected module
State, and the middle control module.
It is preferred that, described information processing unit is used to communication bus collecting information progress data identification, the number of identification
According to including photovoltaic power generation array, local load, energy storage device, the address information of grid-connected module, facility information and voltage x current letter
Breath.
It is preferred that, the DC micro power grid system running status that the policy optimization unit is obtained according to information process unit is believed
Secure threshold, level of security and the data renewal frequency of DC micro power grid system set by breath and middle control module, with reference to straight
Micro-grid system system optimizing control is flowed, Optimal Control Strategy is drawn, direct-current grid system can be improved by policy optimization module
Unite monitoring system it is intelligent, be easy to user preferably to monitor DC micro power grid system.
It is preferred that, the control instruction determining unit is according to the generated output of current photovoltaic power generation array, energy storage device
The demand of the local load of the need for electricity and micro-capacitance sensor of conversion efficiency and power distribution network, to determine that the operation of DC micro power grid system refers to
Order, the operating instruction includes instruction of being incorporated into the power networks.
It is preferred that, the energy storage device includes energy storage device and the two-way DC/DC converters such as battery, super capacitor, double
It is connected respectively with the energy storage device such as battery, super capacitor to DC/DC converters, described two-way DC/DC converters are integrated with
Voltage-current sensor unit, micro controller unit, communication unit and fault processing unit.
It is preferred that, the grid-connected module includes：
On-off circuit, is connected between dc bus and power distribution network, and the instruction for the control module in controls micro-capacitance sensor
System is connected or disconnected with power distribution network；
Shunt chopper, first end is connected with dc bus, and the second end is connected with power distribution network ac bus, the 3rd end
It is connected with on-off circuit, is exchanged for being converted to direct current when on-off circuit control connection micro-grid system is with power distribution network
Electricity.
It is preferred that, the parallel control module includes electrical parameter sensor, the electrical parameter for detecting ac bus；
The on-off circuit includes：Grid-connected switch, is connected between shunt chopper and ac bus；Controller, and simultaneously
Net switch is connected with electrical parameter sensor, for the instruction and the electrical parameter control of ac bus according to the middle control module simultaneously
Net is switched off or closed.
It is preferred that, the supervising device also includes dc bus monitoring module, and the bus monitoring module includes：
Voltage acquisition module, the DC bus-bar voltage for obtaining direct-current grid；Electric current acquisition module, for obtaining
State the branch current of any branch road of direct-current grid；Voltage increment computing module, for being obtained according to the DC bus-bar voltage
To busbar voltage increment；Current increment computing module, for obtaining branch current increment according to the branch current；First judges
Module, for judging whether the voltage increment is more than the first action predetermined value and whether the branch current increment is more than the
Two action predetermined values；Second judge module, for being more than the described first action predetermined value and the branch road in the voltage increment
In the case that current increment is more than the described second action predetermined value, judge that dc bus breaks down.
Technical scheme has the following advantages that：(1) DC micro power grid system is carried out by remote terminal intelligently to control
System, effective monitoring DC micro power grid system machine operation, and can understand in time and to handle DC micro power grid system equipment different
Reason condition；(2) supervising device of the micro-grid system can determine the generated output of photovoltaic power generation array, determine energy storage device to
Power distribution network provides the conversion efficiency of electric energy, determines the power load in direct-current grid, and according to Distributed-generation equipment
The power load that generated output, energy storage device are provided to power distribution network in the conversion efficiency and direct-current grid of electric energy determines that energy storage is filled
The capacity put；(3) the system can also be realized from islet operation to taking over seamlessly for being incorporated into the power networks.
Brief description of the drawings
Fig. 1 shows a kind of intelligent DC micro-grid system of the present invention and its block diagram of supervising device；
Fig. 2 shows a kind of automatic monitoring method of intelligent DC micro-grid system of the invention.
Embodiment
Fig. 1 is a kind of intelligent DC micro-grid system 10 for showing the present invention, and the system of micro-capacitance sensor 10 includes：Photovoltaic is sent out
Electric array 12, multiple local loads 14, grid-connected module 15, energy storage device 13, supervising device 11 and dc bus；
The grid-connected module 15 be used for control the islet operation of DC micro power grid system 10 or with the grid-connected fortune of power distribution network 20
OK；
The dc bus, for connecting energy storage device 13, photovoltaic power generation array 12, grid-connected module 15 and local load
14, for the Power Exchange in micro-grid system 10 and the Power Exchange of micro-grid system 10 and power distribution network 20；
The supervising device 11 includes：
Photovoltaic power generation array monitoring module 112, for monitoring photovoltaic power generation array 12 in real time, and to photovoltaic power generation array 12
Generated output be predicted；
Parallel control module 112, for monitoring grid-connected module 15 in real time；
Load monitoring module 114, is consumed for monitoring the local load 14 in micro-capacitance sensor 10 in real time, and to local load 14
Power be predicted；
Energy storage device monitoring module 115, the operation for monitoring energy storage device 13 in real time；
Middle control module 116, the operation method for determining micro-capacitance sensor, and for each module work in coordinated monitoring device 11
Make；
Communication bus 111, the liaison for the modules of the supervising device 11.
It is preferred that, the photovoltaic power generation array 12 includes multiple photovoltaic electrification components and multiple photovoltaic controllers, with institute
Photovoltaic controller is stated with photovoltaic module and dc bus to be connected.
The middle control module includes information process unit, policy optimization unit and control instruction determining unit；The communication
Bus can be used for gathering the photovoltaic power generation array, the local load, the energy storage device, the running status of grid-connected module,
And the middle control module.
Described information processing unit is used to communication bus collecting information progress data identification, and the data of identification include light
Lie prostrate power generation array, local load, energy storage device, the address information of grid-connected module, facility information and voltage x current information.
The DC micro power grid system running state information that the policy optimization unit is obtained according to information process unit is with
Secure threshold, level of security and the data renewal frequency of the DC micro power grid system set by module are controlled, with reference to DC micro-electric
Net system optimization control algolithm, draws Optimal Control Strategy, and can improve DC micro power grid system by policy optimization module monitors
System it is intelligent, be easy to user preferably to monitor DC micro power grid system.
The control instruction determining unit is according to the generated output of current photovoltaic power generation array, the conversion efficiency of energy storage device
With the demand of the local load of need for electricity and micro-capacitance sensor of power distribution network, it is described to determine the operating instruction of DC micro power grid system
Operating instruction includes instruction of being incorporated into the power networks.
The energy storage device 12 includes energy storage device and the two-way DC/DC converters, two-way DC/ such as battery, super capacitor
DC converters are connected with the energy storage device such as battery, super capacitor respectively, and described two-way DC/DC converters are integrated with voltage electricity
Flow sensor unit, micro controller unit, communication unit and fault processing unit.
The grid-connected module 15 includes：
On-off circuit, is connected between dc bus and power distribution network, and the instruction for the control module in controls micro-capacitance sensor
System is connected or disconnected with power distribution network；
Shunt chopper, first end is connected with dc bus, and the second end is connected with power distribution network ac bus, the 3rd end
It is connected with on-off circuit, is exchanged for being converted to direct current when on-off circuit control connection micro-grid system is with power distribution network
Electricity.
The parallel control module 112 includes electrical parameter sensor, the electrical parameter for detecting ac bus；
The on-off circuit includes：Grid-connected switch, is connected between shunt chopper and ac bus；Controller, and simultaneously
Net switch is connected with electrical parameter sensor, for the instruction and the electrical parameter control of ac bus according to the middle control module simultaneously
Net is switched off or closed.
The supervising device 11 also includes dc bus monitoring module 117, and the bus monitoring module 117 includes：
Voltage acquisition module, the DC bus-bar voltage for obtaining direct-current grid；Electric current acquisition module, for obtaining
State the branch current of any branch road of direct-current grid；Voltage increment computing module, for being obtained according to the DC bus-bar voltage
To busbar voltage increment；Current increment computing module, for obtaining branch current increment according to the branch current；First judges
Module, for judging whether the voltage increment is more than the first action predetermined value and whether the branch current increment is more than the
Two action predetermined values；Second judge module, for being more than the described first action predetermined value and the branch road in the voltage increment
In the case that current increment is more than the described second action predetermined value, judge that dc bus breaks down.
Accompanying drawing 2 shows a kind of automatic monitoring method of intelligent DC micro-grid system of the invention, and this method is included such as
Lower step：
S1. detect and gather the state of photovoltaic power generation array, energy storage device, local load, power distribution network and dc bus
Information；
S2. the status information is pooled to middle control module by communication bus；
S3. the status information is handled and analyzed, and determine micro-capacitance sensor operation reserve, send operating instruction；
S4. according to the operation reserve and operating instruction, control micro-grid system optimization operation.
It is preferred that, in the step S3, the processing to the status information recognizes that the data of identification include including data
Photovoltaic power generation array, local load, energy storage device, the address information of grid-connected module, facility information and voltage x current information.
It is preferred that, in the step S3, by obtained DC micro power grid system running state information and middle control module institute
Secure threshold, level of security and the data renewal frequency of the DC micro power grid system of setting, it is excellent with reference to DC micro power grid system
Change control algolithm, draw Optimal Control Strategy, the intelligence of DC micro power grid system monitoring system can be improved by policy optimization module
Energy property, is easy to user preferably to monitor DC micro power grid system.
It is preferred that, in the step S3, imitated according to the conversion of the generated output of current photovoltaic power generation array, energy storage device
The demand of the local load of the need for electricity and micro-capacitance sensor of rate and power distribution network, to determine the operating instruction of DC micro power grid system, institute
Stating operating instruction includes instruction of being incorporated into the power networks.
It is preferred that, in the step S1, the electrical parameter of ac bus is detected using electrical parameter sensor；
It is disconnected according to the grid-connected switch of the electrical parameter control of instruction and ac bus of the middle control module in the step S4
Open or close.
In the step S1, the status information of dc bus, the bus prison are gathered using dc bus monitoring module
Control module includes：
Voltage acquisition module, the DC bus-bar voltage for obtaining direct-current grid；Electric current acquisition module, for obtaining
State the branch current of any branch road of direct-current grid；Voltage increment computing module, for being obtained according to the DC bus-bar voltage
To busbar voltage increment；Current increment computing module, for obtaining branch current increment according to the branch current；First judges
Module, for judging whether the voltage increment is more than the first action predetermined value and whether the branch current increment is more than the
Two action predetermined values；Second judge module, for being more than the described first action predetermined value and the branch road in the voltage increment
In the case that current increment is more than the described second action predetermined value, judge that dc bus breaks down.
It is preferred that, in the step S3, instruction of being incorporated into the power networks is determined based on following method：
S31. it is minimum with the total cost of electricity-generating of direct-current grid, set up Optimized Operation object function；
S32. the operation constraints established in DC micro power grid system：System power Constraints of Equilibrium, energy storage are established respectively
The local load power consumption constraint of device charge-discharge electric power constraints, the output power limit of photovoltaic power generation array, micro-capacitance sensor,
The purchase sale of electricity constraint that direct-current grid is interacted with power distribution network；
S33. standard particle group's algorithm is improved：Inertia weight, accelerated factor are improved respectively, propose to utilize
Subgradient optimization method updates the speed of particle in particle cluster algorithm.
It is preferred that, in the step S32, system power Constraints of Equilibrium：
Pload=Ppv+Pgrid+PBA
In formula：PloadFor the general power needed for our team's load in micro-capacitance sensor；PpvFor photovoltaic array power output in micro-capacitance sensor；
Pgrid、PBARespectively system is to power distribution network, the optimization power of energy storage device.
It is preferred that, in the step S32, energy storage device charge-discharge electric power constraints：
In formula：Pc,iFor energy storage device the i-th period charge power；Pc,max、Pc,minFor energy storage device charge power
Maximum, minimum value；Pf,iFor energy storage device the i-th period discharge power；PF, max、PF, minFor energy storage device discharge power most
Greatly, minimum value.
It is preferred that, in the step S32, the purchase sale of electricity that the micro-capacitance sensor is interacted with power distribution network is constrained to：
In formula：Pb、PsRespectively micro-capacitance sensor is to distribution net purchase, electricity sales amount；Pb,max、Pb,minThe respectively bound of power purchase；
Ps,max、Ps,minThe respectively bound of sale of electricity.
It is preferred that, comprise the following steps in the step S33：
S331. standard particle group algorithm：
Speed more new formula is as follows：
vi,j(k+1)=ω vi,j(k)+c1r1[pi,j-xi,j(k)]+c2r2[pg,j-xi,j(k)]
Location updating formula is as follows：
In formula：J=1,2 ..., n；ω is inertia weight；r1,r2For the uniform random number in the range of [0,1]；c1,c2To be non-
Negative constant, referred to as Studying factors.
S332. to the improvement of standard particle group's algorithm：
(1) improvement of inertia weight：
What inertia weight ω embodied is the significant extent that particle present speed inherits previous velocity.One larger inertia power
Be conducive to global search again, and a less inertia weight is then more conducive to local search.Searched to preferably balance the overall situation
Rope and Local Search, the present invention use Linear recurring series：
ω (k)=ωstar-(ωstar-ωend)×k/Tmax
In formula：ωstarFor initial inertia weight；ωendInertia weight during for maximum iteration；K is current iteration time
Number；TmaxFor maximum iteration；
(2) improvement of accelerated factor：
Parameter c1Determine influence of the individual history of particle to movement locus, c2Determine the global experience of population to movement locus
Influence.In standard PSO, c1、c2Value be generally fixed value.The present invention uses time-varying accelerated factor：
c1=(c1f-c1e)×cos(kπ/Tmax)+c1e
c2=(c2f-c2e)×cos(kπ/Tmax)+c2e
In formula：c1e,c1f,c2e,c2fC is represented respectively1,c2In the value of optimization process beginning and end.Wherein k is current
Iterations, TmaxFor maximum iteration.By c1=c2, can obtainTherefore, whenWhen, c1>c2, be now allow particle try one's best it is many learn to optimal pbest,
Making the ability of searching optimum of particle strengthens；WhenWhen, c1<c2, now make particle
Drawn close to social optimal position gbest part so that Local Search is strengthened；
(3) the PSO algorithms based on subgradient:
Its main thought of particle cluster algorithm based on subgradient is by the opposite direction (negative subgradient direction) along subgradient
Search for find the minimum of object function；
xk+1=xk-ηk·gk
In above formula, gkIt is xkOn a subgradient, ηkFor step function.Because the direction of negative gradient is not necessarily function
Descent direction.Therefore, ensured by following minimum function：
WhereinOptimal function value when being kth step iteration；
It is modified by the speed more new formula to conventional particle group's algorithm, can obtains being based on subgradient grain as follows
The update scheme of subgroup：
Speed v is updated twice in update scheme based on subgradient population, calculated for the first time according to standard PSO
Speed formula renewal speed in method is v'i,j(k+1)；It is v that second, which updates according to subgradient formula renewal speed,i,j(k+1)。
Finally, according to vi,j(k+1) direction provided so that xi,j(k) position is moved to xi,j(k+1)。
Above content is to combine specific preferred embodiment further description made for the present invention, it is impossible to assert
The specific implementation of the present invention is confined to these explanations.For general technical staff of the technical field of the invention,
On the premise of not departing from present inventive concept, some equivalent substitutes or obvious modification are made, and performance or purposes are identical, all should
It is considered as belonging to protection scope of the present invention.
Claims (10)
1. a kind of intelligent DC micro-grid system, including：Photovoltaic power generation array, multiple local loads, grid-connected module, energy storage dress
Put, supervising device and dc bus；
The grid-connected module is used to control the DC micro power grid system islet operation or be incorporated into the power networks with power distribution network；
The dc bus, for connecting energy storage device, photovoltaic power generation array, grid-connected module and local load, for micro-capacitance sensor
The Power Exchange of Power Exchange and micro-grid system and power distribution network in system；
The supervising device includes：
Photovoltaic power generation array monitoring module, for monitoring photovoltaic power generation array in real time, and to the generated output of photovoltaic power generation array
It is predicted；
Parallel control module, for monitoring grid-connected module in real time；
Load monitoring module, for monitoring the load in micro-capacitance sensor in real time, and is predicted to the power of load consumption；
Energy storage device monitoring module, the operation for monitoring energy storage device in real time；
Middle control module, the operation method for determining micro-capacitance sensor, and for each module work in coordinated monitoring device；
Communication bus, the liaison for the modules of the supervising device.
2. the system as claimed in claim 1, it is characterised in that the photovoltaic power generation array include multiple photovoltaic electrification components with
And multiple photovoltaic controllers, it is connected with the photovoltaic controller with photovoltaic module and dc bus.
3. the system as claimed in claim 1, it is characterised in that the middle control module includes information process unit, policy optimization
Unit and control instruction determining unit；The communication bus can be used for gathering the photovoltaic power generation array, the local load, institute
State energy storage device, the running status of grid-connected module, and the middle control module.
4. system as claimed in claim 3, it is characterised in that described information processing unit is used to communication bus collecting letter
Breath carries out data identification, and the data of identification include photovoltaic power generation array, local load, energy storage device, the address letter of grid-connected module
Breath, facility information and voltage x current information.
5. system as claimed in claim 4, it is characterised in that what the policy optimization unit was obtained according to information process unit
Secure threshold, the level of security of DC micro power grid system set by DC micro power grid system running state information and middle control module
And data renewal frequency, with reference to DC micro power grid system system optimizing control, Optimal Control Strategy is drawn, passes through policy optimization
Module can improve the intelligent of DC micro power grid system monitoring system, be easy to user preferably to monitor DC micro power grid system.
6. system as claimed in claim 5, it is characterised in that the control instruction determining unit is according to current photovoltaic generation battle array
The demand of the generated output of row, the local load of the need for electricity and micro-capacitance sensor of the conversion efficiency of energy storage device and power distribution network, comes true
Determine the operating instruction of DC micro power grid system, the operating instruction includes instruction of being incorporated into the power networks.
7. the system as claimed in claim 1, it is characterised in that the energy storage device includes the energy storage such as battery, super capacitor
Device and two-way DC/DC converters, two-way DC/DC converters are connected with the energy storage device such as battery, super capacitor respectively, described
Two-way DC/DC converters be integrated with voltage-current sensor unit, micro controller unit, communication unit and troubleshooting list
Member.
8. the system as claimed in claim 1, it is characterised in that the grid-connected module includes：
On-off circuit, is connected between dc bus and power distribution network, and the instruction for the control module in controls micro-grid system
Connect or disconnect with power distribution network；
Shunt chopper, first end is connected with dc bus, and the second end is connected with power distribution network ac bus, and the 3rd end is with opening
Powered-down road is connected, for direct current to be converted into alternating current when on-off circuit control connection micro-grid system is with power distribution network.
9. system as claimed in claim 8, it is characterised in that the parallel control module includes electrical parameter sensor, is used for
Detect the electrical parameter of ac bus；
The on-off circuit includes：Grid-connected switch, is connected between shunt chopper and ac bus；Controller, is opened with grid-connected
Pass is connected with electrical parameter sensor, and grid-connected open is controlled for the instruction according to the middle control module and the electrical parameter of ac bus
Pass is opened or closed.
10. the system as claimed in claim 1, it is characterised in that the supervising device also includes dc bus monitoring module, institute
Stating bus monitoring module includes：
Voltage acquisition module, the DC bus-bar voltage for obtaining direct-current grid；Electric current acquisition module is described straight for obtaining
Flow the branch current of any branch road of micro-capacitance sensor；Voltage increment computing module, for obtaining mother according to the DC bus-bar voltage
Line voltage increment；Current increment computing module, for obtaining branch current increment according to the branch current；First judges mould
Block, for judging whether the voltage increment is more than the first action predetermined value and whether the branch current increment is more than second
Act predetermined value；Second judge module, for being more than the described first action predetermined value and branch road electricity in the voltage increment
In the case of flowing increment more than the described second action predetermined value, judge that dc bus breaks down.
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