CN109301940A - A kind of source-net of renewable energy access-lotus collaboration optimization system - Google Patents
A kind of source-net of renewable energy access-lotus collaboration optimization system Download PDFInfo
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- 238000005457 optimization Methods 0.000 title claims abstract description 25
- 238000004146 energy storage Methods 0.000 claims abstract description 81
- 238000012544 monitoring process Methods 0.000 claims abstract description 30
- 238000004458 analytical method Methods 0.000 claims abstract description 24
- 238000011217 control strategy Methods 0.000 claims abstract description 8
- 238000009826 distribution Methods 0.000 claims description 61
- 230000005611 electricity Effects 0.000 claims description 25
- 238000013316 zoning Methods 0.000 claims description 18
- 230000029087 digestion Effects 0.000 claims description 14
- 230000009194 climbing Effects 0.000 claims description 13
- 230000003993 interaction Effects 0.000 claims description 13
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Classifications
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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
-
- 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
-
- H02J3/382—
-
- 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
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- 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
-
- 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
-
- 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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
-
- 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
- Y04S10/126—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 electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
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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
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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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
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/14—Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
Abstract
The present invention provides a kind of source-net of renewable energy access-lotuses to cooperate with optimization system, including mechanical floor, distributed controll layer and concentration decision-making level, renewable energy distributed generation resource, grid equipment, distributed energy storage, flexible load device status data and operation data pass through distributed controll layer and are sent to main website layer from below to up, by the centralized decision-making of main website, control command is reached into mechanical floor by the monitoring system of distributed controll layer from top to down, complete renewable energy distributed generation resource power prediction, flexible load prediction, schedulable capacity analysis and coordination control strategy optimization.
Description
Technical field
The invention belongs to electric power system power source scheduling field, in particular to a kind of source-net of renewable energy access-lotus association
Same optimization system.
Background technique
With outstanding day by day and power industry scientific development the demand of global energy crisis problem, safety, height are established
Effect, green, strong smart grid have become the theme of new period global power industry development.Key as smart grid
One of, Devoting Major Efforts To Developing utilizes distributed generation resource (DERs, Distributed Energy Resources), including photovoltaic power generation system
System, wind generator system, energy-storage system, miniature gas turbine etc., it has also become the coke of China's energy sustainable development strategy concern
Point.There are mainly two types of forms for the high density access of distributed generation resource, first is that various forms distributed generation resource cluster accesses power distribution network,
It can be used as " virtual power supply group " and beneficial and important supplement be provided for existing power supply.In addition it is also possible to pass through micro-capacitance sensor
This Autonomous Model hair electric system access collectively constituted by distributed generation resource, energy storage device, load, monitoring and protective device is matched
Power grid improves comprehensive utilization rate of energy source, coordinates the contradiction between power grid and distributed generation resource；When multiple micro-capacitance sensors it is middle pressure or it is low
Geographical location is close in press-fitting net, can interconnect to form microgrid group, has not only had complete micro-capacitance sensor feature and function but also has had receiving
The function that group is operated together target is completed jointly with the scheduling of group's grade and coordinated control order is executed.
In the case where high density, high permeability microgrid group/virtual power supply group access background, energy storage device, electric car, flexibility are negative
Numerous new demands such as the interaction coordinated control of lotus will bring great variety to the passive passive distribution system of tradition, be allowed to master
Move active distribution system transition.Active distribution network (ADNs, Active distribution networks) is smart grid
The research emphasis in field, compared with conventional electrical distribution net, with more perfect considerable controllable levels and active self-cure regulation and control
Physical condition realizes the consumption of a large amount of distributed energy full frequency bands and optimization of access, to guarantee power grid security, economy, efficiently fortune
Row.Protect from " passive passive " to " actively active " this transient process to power distribution network in planning and designing, traffic control, control,
The new requirement of all many-sided propositions such as simulation analysis.Development quickly and effectively emulation technology and emulation platform to active distribution network
Various stable states, transient behavior feature are analyzed, and then verify for the scheduling of distribution network planning Design and optimization, control strategy, is automatic
The offers basic technological means and skill such as fault section and isolation, network self-healing, the adjusting of protection equipment, actual physical device test
Art platform becomes urgent and significant research topic.
Summary of the invention
The present invention is specially a kind of source-net-lotus collaboration optimization system of renewable energy access, and the renewable energy connects
Source-the net entered-lotus collaboration optimization system includes mechanical floor, distributed controll layer and concentration decision-making level；
The mechanical floor includes on-pole switch, ring network cabinet, distribution transformer, the Feeder Terminal Unit for being connected to on-pole switch
FTU, the switching station terminal equipment DTU for being connected to ring network cabinet and the distribution transformer terminals equipment TTU for being connected to distribution transformer, it is described
Mechanical floor further includes multiple microgrid subsystems, converter valve, power-supply device, energy storage device and electric car, each microgrid subsystem
System, converter valve, power-supply device, energy storage device and electric car are all connected to a terminal device；
The distributed controll layer includes multiple microgrid monitoring systems, converter station/ring device monitoring system, controllable resources prison
Control system and multiple safety insulating devices, each microgrid monitoring system are connected by terminal device with corresponding microgrid subsystem
And corresponding microgrid subsystem is monitored and is controlled, the converter station/ring device monitoring system by terminal device with
The converter valve, which connects, to be simultaneously monitored and controls to the converter valve, the controllable resources monitoring system by terminal device with
Power-supply device, energy storage device and electric car be connected and to corresponding power-supply device, energy storage device and electric car into
Row is monitored and controlled, and each microgrid monitoring system, converter station/ring device monitoring system, controllable resources monitoring system are all connected with
To a safety insulating device；
The centralized decision-making layer includes information interactive bus and the open interaction coordinated control system of active distribution network, the letter
Breath interaction bus is connected to multiple safety insulating devices, the open interaction coordinated control system of the active distribution network include distribution from
Dynamicization system and function expanding module, the electrical power distribution automatization system are connected to Feeder Terminal Unit FTU, switching station terminal equipment
DTU and distribution transformer terminals equipment TTU simultaneously passes through Feeder Terminal Unit FTU, switching station terminal equipment DTU and distribution transformer terminals equipment
TTU is monitored and controls to corresponding on-pole switch, ring network cabinet and distribution transformer, the function expanding module with it is described
Information interactive bus is connected；
Distributed generation resource, grid equipment, distributed energy storage, flexible load device status data and operation data pass through distribution
Control layer is sent to main website layer from below to up, and by the centralized decision-making of main website, control command is passed through to the monitoring system of distributed controll layer
System reaches mechanical floor from top to down, completes distributed generation resource power prediction, flexible load prediction, schedulable capacity analysis and association
Adjust control strategy optimization；
The microgrid subsystem that the microgrid subsystem generates electricity including the use of renewable energy.
Further, when the electrical power distribution automatization system includes the grid-connected Analysis of key influential factors module in layering and zoning, is more
The renewable energy generation power producing characteristics characterization module of space division cloth, the regional power generation simulation based on multiple space and time scales calculate mould
Block and renewable energy digestion capability measure module, the grid-connected Analysis of key influential factors module in the layering and zoning, described more
The renewable energy generation power producing characteristics characterization module of spatial and temporal distributions, the regional power generation simulation based on multiple space and time scales
Computing module and the renewable energy digestion capability measure module and are successively linked in sequence；
The grid-connected Analysis of key influential factors module in the layering and zoning power supply characteristic influence factor grid-connected to layering and zoning,
Power grid influential factors and part throttle characteristics influence factor are analyzed, and the power supply characteristic influence factor includes conventional rack
Creep speed, the synchronism of renewable energy and complementarity, the power grid influential factors include system reserve level, system
Response speed, peak-load regulating ability, Net Frame of Electric Network constraint and system send capacity scale, the part throttle characteristics influence factor packet outside
Local electricity needs level, load level are included, the grid-connected Analysis of key influential factors module in layering and zoning also passes through data and digs
Pick technology analyzes the correlation between each influence factor；
The renewable energy generation power producing characteristics characterization module of the multi-space distribution is divided at random according to historical data
The parameter of cloth model, to establish the power producing characteristics equation of single renewable energy generation；It is multiple in electric system by accessing
Renewable energy carries out layering and zoning according to different voltages grade and different geographical distribution, analysis different voltages grade, differently
The correlation for managing the power output of the renewable energy generation between region, analyze same voltage class, in same geographic area can
Each renewable energy generation in different time scales is analyzed in the influence that renewable sources of energy unit contributes to it due to constellation effect
The correlation properties of power output finally establish the renewable energy generation power producing characteristics characterization equation of multi-space distribution；
The regional power generation simulation calculation module based on multiple space and time scales is in source net load interaction system control strategy
Under, by analysis renewable energy power output and load correlation and region normal power supplies different time domain peak modulation capacity, it is excellent
Change the different electrical power unit commitment for considering power system security constraints, establish based on renewable energy on-site elimination and sends power grid construction outside
Economy after comprehensively considering be constraint pattern function, determine each intermittent renewable energy power output, consumption electricity and
Electricity is sent outside, so that network system can obtain in on-site elimination and send the optimal synthesis effect under phase coordinated operation mode outside
Benefit；Power system security constraints include the constraint of node power equilibrium equation, the constraint of system load flow equation, line transmission power constraint, pass
Unit output of uniting constrains, conventional rack climbing rate constrains, intermittent renewable energy units limits, system reserve horizontal restraint；
The renewable energy digestion capability measures module according to the real-time power output of renewable energy, actual load, same district
System reserve level and peak capacity in domain and the region interconnected with it determine abandoning electricity, the investment operation of renewable energy
Expense and the multiple indexs of systematic risk degree measure the digestion capability of renewable energy, to establish renewable energy digestion capability
Index system.
Further, the Optimized model of the microgrid subsystem are as follows:
f1=CMT(t)+CFC(t)+CDG(t),
f4=CPMT(t)+CPFC(t)+CPDG(t),
In formula, f1For unit fuel cost, f2Cost, f are interacted with bulk power grid for micro-capacitance sensor3For unit maintenance cost, f4For
Each distributed electrical source emission punishment cost, f5To interrupt cost of compensation, f6For heat income, CMT(t)、CDGIt (t) is respectively the t period
MT, diesel fuel cost, CmiFor the organizational maintenance cost of i unit, PiIt (t) is the t period i power of the assembling unit, CPMT(t)、CPFC
(t)、CPDGIt (t) is respectively t period MT, FC, diesel engine pollutant emission cost, CPIt (t) is unit interruptible load price, Che、
QheIt (t) is respectively the heat generated units of heat price, t period.
Further, active power balance constraint is in power gridWherein, PG, k、PW, r、PB, m、PD, 1Respectively conventional electric power generation
The active power of machine k, renewable energy r, energy storage m, load 1, it is assumed that be positive to power grid injecting power, absorbing power to power grid is
It is negative；NG、NW、NB、NDRespectively conventional rack, renewable energy, energy storage, load index.
Further, when considering loss, network re-active power Constraints of Equilibrium is
Further, the bound constraint of energy storage system discharges power are as follows:
The bound of energy-storage system charge power constrains are as follows:Energy storage
The constraint of system state-of-charge are as follows:Energy-storage system adjacent moment capacity-constrained are as follows:The constraint of energy-storage system power climbing rate are as follows:Wherein,When respectively t
It carves, discharge power, the charge power of energy storage device at node m；Respectively energy storage system discharges power
Lower limit, the upper limit；etFor binary variable, to indicate the charging and discharging state of t moment energy storage device, et=1 indicates t moment energy storage
Equipment is in discharge condition, et=0 expression t moment energy storage device is in charged state；Respectively energy storage system
The lower limit of system charge power, the upper limit；For t moment, the state-of-charge of energy storage device at node m；Respectively
For energy-storage system state-of-charge lower limit, the upper limit；For t moment, the storage electricity of energy storage device at node m；
Respectively energy storage system discharges efficiency and charge efficiency；βkFor the self-discharge rate of energy-storage system；For zero moment energy-storage system
The electricity of storage；To start the energy-storage system initial storage electricity being arranged before charge and discharge；For climbing rate lower limit；For the climbing rate upper limit；The respectively discharge power of energy-storage system operation initial time and charging function
Rate.
Source-net of renewable energy access of the present invention-lotus collaboration optimization system can be to renewable energy distributed generation resource, electricity
The devices such as net equipment, distributed energy storage, flexible load equipment carry out distributed generation resource power prediction, flexible load is predicted, is adjustable
Capacity analysis and coordination control strategy optimization are spent, prevents equipment fault and on-line debugging from influencing security of system, reduces operation
Risk improves the comprehensive benefit of distributed generation resource.
Detailed description of the invention
Fig. 1 is the structural schematic diagram that a kind of source-net-lotus of renewable energy access of the present invention cooperates with optimization system；
Fig. 2 is the structural schematic diagram of four port flexible direct current interface arrangement of active distribution network of the present invention.
Specific embodiment
With reference to the accompanying drawing to source-net of renewable energy of the present invention access-lotus collaboration optimization system specific embodiment party
Formula elaborates.
As shown in Figure 1, source-net-lotus collaboration optimization system that renewable energy of the invention accesses includes mechanical floor, distribution
Control layer and concentration decision-making level；
The mechanical floor includes on-pole switch, ring network cabinet, distribution transformer, the Feeder Terminal Unit for being connected to on-pole switch
FTU, the switching station terminal equipment DTU for being connected to ring network cabinet and the distribution transformer terminals equipment TTU for being connected to distribution transformer, it is described
Mechanical floor further includes multiple microgrid subsystems, converter valve, power-supply device, energy storage device and electric car, each microgrid subsystem
System, converter valve, power-supply device, energy storage device and electric car are all connected to a terminal device；
The distributed controll layer includes multiple microgrid monitoring systems, converter station/ring device monitoring system, controllable resources prison
Control system and multiple safety insulating devices, each microgrid monitoring system are connected by terminal device with corresponding microgrid subsystem
And corresponding microgrid subsystem is monitored and is controlled, the converter station/ring device monitoring system by terminal device with
The converter valve, which connects, to be simultaneously monitored and controls to the converter valve, the controllable resources monitoring system by terminal device with
Power-supply device, energy storage device and electric car be connected and to corresponding power-supply device, energy storage device and electric car into
Row is monitored and controlled, and each microgrid monitoring system, converter station/ring device monitoring system, controllable resources monitoring system are all connected with
To a safety insulating device；
The centralized decision-making layer includes information interactive bus and the open interaction coordinated control system of active distribution network, the letter
Breath interaction bus is connected to multiple safety insulating devices, the open interaction coordinated control system of the active distribution network include distribution from
Dynamicization system and function expanding module, the electrical power distribution automatization system are connected to Feeder Terminal Unit FTU, switching station terminal equipment
DTU and distribution transformer terminals equipment TTU simultaneously passes through Feeder Terminal Unit FTU, switching station terminal equipment DTU and distribution transformer terminals equipment
TTU is monitored and controls to corresponding on-pole switch, ring network cabinet and distribution transformer, the function expanding module with it is described
Information interactive bus is connected；
Distributed generation resource, grid equipment, distributed energy storage, flexible load device status data and operation data pass through distribution
Control layer is sent to main website layer from below to up, and by the centralized decision-making of main website, control command is passed through to the monitoring system of distributed controll layer
System reaches mechanical floor from top to down, completes distributed generation resource power prediction, flexible load prediction, schedulable capacity analysis and association
Adjust control strategy optimization；
The microgrid subsystem that the microgrid subsystem generates electricity including the use of renewable energy.
Further, when the electrical power distribution automatization system includes the grid-connected Analysis of key influential factors module in layering and zoning, is more
The renewable energy generation power producing characteristics characterization module of space division cloth, the regional power generation simulation based on multiple space and time scales calculate mould
Block and renewable energy digestion capability measure module, the grid-connected Analysis of key influential factors module in the layering and zoning, described more
The renewable energy generation power producing characteristics characterization module of spatial and temporal distributions, the regional power generation simulation based on multiple space and time scales
Computing module and the renewable energy digestion capability measure module and are successively linked in sequence；
The grid-connected Analysis of key influential factors module in the layering and zoning power supply characteristic influence factor grid-connected to layering and zoning,
Power grid influential factors and part throttle characteristics influence factor are analyzed, and the power supply characteristic influence factor includes conventional rack
Creep speed, the synchronism of renewable energy and complementarity, the power grid influential factors include system reserve level, system
Response speed, peak-load regulating ability, Net Frame of Electric Network constraint and system send capacity scale, the part throttle characteristics influence factor packet outside
Local electricity needs level, load level are included, the grid-connected Analysis of key influential factors module in layering and zoning also passes through data and digs
Pick technology analyzes the correlation between each influence factor；
The renewable energy generation power producing characteristics characterization module of the multi-space distribution is divided at random according to historical data
The parameter of cloth model, to establish the power producing characteristics equation of single renewable energy generation；It is multiple in electric system by accessing
Renewable energy carries out layering and zoning according to different voltages grade and different geographical distribution, analysis different voltages grade, differently
The correlation for managing the power output of the renewable energy generation between region, analyze same voltage class, in same geographic area can
Each renewable energy generation in different time scales is analyzed in the influence that renewable sources of energy unit contributes to it due to constellation effect
The correlation properties of power output finally establish the renewable energy generation power producing characteristics characterization equation of multi-space distribution；
The regional power generation simulation calculation module based on multiple space and time scales is in source net load interaction system control strategy
Under, by analysis renewable energy power output and load correlation and region normal power supplies different time domain peak modulation capacity, it is excellent
Change the different electrical power unit commitment for considering power system security constraints, establish based on renewable energy on-site elimination and sends power grid construction outside
Economy after comprehensively considering be constraint pattern function, determine each intermittent renewable energy power output, consumption electricity and
Electricity is sent outside, so that network system can obtain in on-site elimination and send the optimal synthesis effect under phase coordinated operation mode outside
Benefit；Power system security constraints include the constraint of node power equilibrium equation, the constraint of system load flow equation, line transmission power constraint, pass
Unit output of uniting constrains, conventional rack climbing rate constrains, intermittent renewable energy units limits, system reserve horizontal restraint；
The renewable energy digestion capability measures module according to the real-time power output of renewable energy, actual load, same district
System reserve level and peak capacity in domain and the region interconnected with it determine abandoning electricity, the investment operation of renewable energy
Expense and the multiple indexs of systematic risk degree measure the digestion capability of renewable energy, to establish renewable energy digestion capability
Index system.
As shown in Fig. 2, the active distribution network includes multiple four ports flexible direct current interface arrangements, pass through four port
Flexible direct current interface arrangement carries out cyclization to four 20kV routes, and every time 20kV route is connected to flexible straight by AC circuit breaker
Inverter is flowed, the DC side of flexible direct current inverter is connected to DC bus by DC load switch.
The Optimized model of the microgrid subsystem are as follows:
f1=CMT(t)+CFC(t)+CDG(t),
f4=CPMT(t)+CPFC(t)+CPDG(t),
In formula, f1For unit fuel cost, f2Cost, f are interacted with bulk power grid for micro-capacitance sensor3For unit maintenance cost, f4For
Each distributed electrical source emission punishment cost, f5To interrupt cost of compensation, f6For heat income, CMT(t)、CDGIt (t) is respectively the t period
MT, diesel fuel cost, CmiFor the organizational maintenance cost of i unit, PiIt (t) is the t period i power of the assembling unit, CPMT(t)、CPFC
(t)、CPDGIt (t) is respectively t period MT, FC, diesel engine pollutant emission cost, CPIt (t) is unit interruptible load price, Che、
QheIt (t) is respectively the heat generated units of heat price, t period.
Further, active power balance constraint is in power gridWherein, PG, k、PW, r、PB, m、PD, 1Respectively tradition hair
The active power of motor k, renewable energy r, energy storage m, load 1, it is assumed that be positive to power grid injecting power, absorb power to power grid
It is negative；NG、NW、NB、NDRespectively conventional rack, renewable energy, energy storage, load index.
Further, when considering loss, network re-active power Constraints of Equilibrium is
Further, the bound constraint of energy storage system discharges power are as follows:The bound of energy-storage system charge power constrains are as follows:The constraint of energy-storage system state-of-charge are as follows:Energy-storage system adjacent moment capacity-constrained are as follows:The constraint of energy-storage system power climbing rate are as follows:Wherein,When respectively t
It carves, discharge power, the charge power of energy storage device at node m；Respectively under energy storage system discharges power
Limit, the upper limit；etFor binary variable, to indicate the charging and discharging state of t moment energy storage device, et=1 expression t moment energy storage is set
It is standby to be in discharge condition, et=0 expression t moment energy storage device is in charged state；Respectively energy-storage system
The lower limit of charge power, the upper limit；For t moment, the state-of-charge of energy storage device at node m；Respectively store up
It can system state-of-charge lower limit, the upper limit；For t moment, the storage electricity of energy storage device at node m；Respectively
For energy storage system discharges efficiency and charge efficiency；βkFor the self-discharge rate of energy-storage system；For the storage of zero moment energy-storage system
Electricity；To start the energy-storage system initial storage electricity being arranged before charge and discharge；For climbing rate lower limit；
For the climbing rate upper limit；The respectively discharge power and charge power of energy-storage system operation initial time.
Finally it should be noted that only illustrating technical solution of the present invention rather than its limitations in conjunction with above-described embodiment.Institute
The those of ordinary skill in category field is it is to be understood that those skilled in the art can repair a specific embodiment of the invention
Change or equivalent replacement, but these modifications or change are being applied among pending claims.
Claims (6)
1. a kind of source-net-lotus of renewable energy access cooperates with optimization system, which is characterized in that the renewable energy access
Source-net-lotus collaboration optimization system include mechanical floor, distributed controll layer and concentrate decision-making level；
The mechanical floor include on-pole switch, ring network cabinet, distribution transformer, the Feeder Terminal Unit FTU for being connected to on-pole switch,
It is connected to the switching station terminal equipment DTU of ring network cabinet and is connected to the distribution transformer terminals equipment TTU of distribution transformer, the equipment
Layer further includes multiple microgrid subsystems, converter valve, power-supply device, energy storage device and electric car, and each microgrid subsystem changes
Stream valve, power-supply device, energy storage device and electric car are all connected to a terminal device；
The distributed controll layer includes multiple microgrid monitoring systems, converter station/ring device monitoring system, controllable resources monitoring system
System and multiple safety insulating devices, each microgrid monitoring system are connected and right by terminal device with corresponding microgrid subsystem
Corresponding microgrid subsystem is monitored and controls, the converter station/ring device monitoring system by terminal device with it is described
Converter valve connects and the converter valve is monitored and is controlled, and the controllable resources monitoring system passes through terminal device and power supply
Equipment, energy storage device and electric car are connected and supervise to corresponding power-supply device, energy storage device and electric car
It surveys and controls, each microgrid monitoring system, converter station/ring device monitoring system, controllable resources monitoring system are all connected to one
A safety insulating device；
The centralized decision-making layer includes that information interactive bus and the open interaction coordinated control system of active distribution network, the information are handed over
Mutual bus is connected to multiple safety insulating devices, and the open interaction coordinated control system of the active distribution network includes power distribution automation
System and function expanding module, the electrical power distribution automatization system are connected to Feeder Terminal Unit FTU, switching station terminal equipment DTU
And distribution transformer terminals equipment TTU and pass through Feeder Terminal Unit FTU, switching station terminal equipment DTU and distribution transformer terminals equipment TTU
Corresponding on-pole switch, ring network cabinet and distribution transformer are monitored and are controlled, the function expanding module and the letter
Breath interaction bus is connected；
Distributed generation resource, grid equipment, distributed energy storage, flexible load device status data and operation data pass through distributed controll
Layer is sent to main website layer from below to up, by the centralized decision-making of main website, by control command by distributed controll layer monitoring system from
Upper and lower arrival mechanical floor completes distributed generation resource power prediction, flexible load prediction, schedulable capacity analysis and coordinates control
Policy optimization processed；
The microgrid subsystem that the microgrid subsystem generates electricity including the use of renewable energy.
2. a kind of source-net-lotus of renewable energy access according to claim 1 cooperates with optimization system, which is characterized in that
The electrical power distribution automatization system includes the renewable energy of the grid-connected Analysis of key influential factors module in layering and zoning, multi-space distribution
Unit output characteristic present module, the regional power generation simulation calculation module based on multiple space and time scales and renewable energy disappear
Ability of receiving measures module, the grid-connected Analysis of key influential factors module in the layering and zoning, multi-space distribution renewable energy
Source unit output characteristic present module, the regional power generation simulation calculation module based on multiple space and time scales and it is described can
Renewable sources of energy digestion capability measures module and is successively linked in sequence；
The grid-connected Analysis of key influential factors module in the layering and zoning power supply characteristic influence factor grid-connected to layering and zoning, power grid
Influential factors and part throttle characteristics influence factor are analyzed, and the power supply characteristic influence factor includes conventional rack climbing
Rate, the synchronism of renewable energy and complementarity, the power grid influential factors include system reserve level, system response
Speed, peak-load regulating ability, Net Frame of Electric Network constraint and system send capacity scale outside, and the part throttle characteristics influence factor includes working as
Ground electricity needs level, load level, the grid-connected Analysis of key influential factors module in layering and zoning also pass through data mining skill
Art analyzes the correlation between each influence factor；
The renewable energy generation power producing characteristics characterization module of the multi-space distribution obtains random distribution mould according to historical data
The parameter of type, to establish the power producing characteristics equation of single renewable energy generation；By access electric system in it is multiple can be again
The raw energy carries out layering and zoning, analysis different voltages grade, different geographic regions according to different voltages grade and different geographical distributions
The correlation of the power output of renewable energy generation between domain analyzes same voltage class, renewable in same geographic area
Each renewable energy generation power output in different time scales is analyzed in the influence that energy unit contributes to it due to constellation effect
Correlation properties, finally establish multi-space distribution renewable energy generation power producing characteristics characterization equation；
The regional power generation simulation calculation module based on multiple space and time scales is led under the net load interaction system control strategy of source
Cross the peak modulation capacity of the correlation and region normal power supplies of analysis renewable energy power output and load in different time domain, optimization consideration
The different electrical power unit commitment of power system security constraints is established and is examined based on renewable energy on-site elimination with power grid construction synthesis is sent outside
Economy after worry is the pattern function of constraint, determines power output, consumption electricity and the outer power transmission of each intermittent renewable energy
Amount, so that network system can obtain in on-site elimination and send the optimal synthesis benefit under phase coordinated operation mode outside；Electricity
Net security constraint includes the constraint of node power equilibrium equation, the constraint of system load flow equation, line transmission power constraint, conventional rack
Units limits, the constraint of conventional rack climbing rate, intermittent renewable energy units limits, system reserve horizontal restraint；
The renewable energy digestion capability measure module according to the real-time power output of renewable energy, actual load, with region and
System reserve level and peak capacity in the region interconnected with it determine abandoning electricity, the investment operating cost of renewable energy
The digestion capability of renewable energy is measured with the multiple indexs of systematic risk degree, to establish the measurement of renewable energy digestion capability
Index system.
3. a kind of source-net-lotus of renewable energy access according to claim 2 cooperates with optimization system, which is characterized in that
The Optimized model of the microgrid subsystem are as follows:
f1=CMT(t)+CFC(t)+CDG(t),
f4=CPMT(t)+CPFC(t)+CPDG(t),
In formula, f1For unit fuel cost, f2Cost, f are interacted with bulk power grid for micro-capacitance sensor3For unit maintenance cost, f4It is each point
Cloth power supply discharges punishment cost, f5To interrupt cost of compensation, f6For heat income, CMT(t)、CDG(t) be respectively t period MT,
Diesel fuel cost, CmiFor the organizational maintenance cost of i unit, PiIt (t) is the t period i power of the assembling unit, CPMT(t)、CPFC(t)、
CPDGIt (t) is respectively t period MT, FC, diesel engine pollutant emission cost, CPIt (t) is unit interruptible load price, Che、Qhe
It (t) is respectively the heat generated units of heat price, t period.
4. a kind of source-net-lotus of renewable energy access according to claim 3 cooperates with optimization system, which is characterized in that
Active power balance constraint is in power gridWherein, PG
,k、PW,r、PB,m、PD,lThe respectively active power of conventional electric generators k, renewable energy r, energy storage m, load l, it is assumed that power grid
Injecting power is positive, and absorbs power to power grid and is negative；NG、NW、NB、NDRespectively conventional rack, renewable energy, energy storage, load
Index.
5. a kind of source-net-lotus of renewable energy access according to claim 4 cooperates with optimization system, which is characterized in that
When considering loss, network re-active power Constraints of Equilibrium is
6. a kind of source-net-lotus of renewable energy access according to claim 5 cooperates with optimization system, which is characterized in that
The bound of energy storage system discharges power constrains are as follows:Energy-storage system charge power
Bound constraint are as follows:The constraint of energy-storage system state-of-charge
Are as follows:Energy-storage system adjacent moment capacity-constrained are as follows:The constraint of energy-storage system power climbing rate are as follows:Wherein,When respectively t
It carves, discharge power, the charge power of energy storage device at node m；Respectively under energy storage system discharges power
Limit, the upper limit；etFor binary variable, to indicate the charging and discharging state of t moment energy storage device, et=1 expression t moment energy storage is set
It is standby to be in discharge condition, et=0 expression t moment energy storage device is in charged state；Respectively energy-storage system
The lower limit of charge power, the upper limit；For t moment, the state-of-charge of energy storage device at node m；Respectively store up
It can system state-of-charge lower limit, the upper limit；For t moment, the storage electricity of energy storage device at node m；Respectively
For energy storage system discharges efficiency and charge efficiency；βkFor the self-discharge rate of energy-storage system；For the storage of zero moment energy-storage system
Electricity；To start the energy-storage system initial storage electricity being arranged before charge and discharge；For climbing rate lower limit；
For the climbing rate upper limit；The respectively discharge power and charge power of energy-storage system operation initial time.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110213540A (en) * | 2019-06-04 | 2019-09-06 | 北京合锐赛尔电力科技股份有限公司 | Line feed terminals control method based on image recognition on-pole switch state acquisition |
| CN110401186A (en) * | 2019-07-13 | 2019-11-01 | 国网天津市电力公司 | Area power grid source net lotus stores up the ubiquitous Dispatching Control System of Multi-value coordination |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104734168A (en) * | 2015-03-13 | 2015-06-24 | 山东大学 | Microgrid running optimization system and method based on power and heat combined dispatching |
| CN107359617A (en) * | 2017-08-08 | 2017-11-17 | 国网江苏省电力公司盐城供电公司 | A kind of active distribution network source net lotus coordinated control system comprising microgrid group |
| CN107832919A (en) * | 2017-10-17 | 2018-03-23 | 国网江苏省电力公司盐城供电公司 | A kind of source net lotus coordinated control system for intermittent renewable energy access power network |
-
2018
- 2018-11-28 CN CN201811433381.7A patent/CN109301940A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104734168A (en) * | 2015-03-13 | 2015-06-24 | 山东大学 | Microgrid running optimization system and method based on power and heat combined dispatching |
| CN107359617A (en) * | 2017-08-08 | 2017-11-17 | 国网江苏省电力公司盐城供电公司 | A kind of active distribution network source net lotus coordinated control system comprising microgrid group |
| CN107832919A (en) * | 2017-10-17 | 2018-03-23 | 国网江苏省电力公司盐城供电公司 | A kind of source net lotus coordinated control system for intermittent renewable energy access power network |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110213540A (en) * | 2019-06-04 | 2019-09-06 | 北京合锐赛尔电力科技股份有限公司 | Line feed terminals control method based on image recognition on-pole switch state acquisition |
| CN110401186A (en) * | 2019-07-13 | 2019-11-01 | 国网天津市电力公司 | Area power grid source net lotus stores up the ubiquitous Dispatching Control System of Multi-value coordination |
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