CN106777673A - A kind of micro-grid load coordinates control analogue system and modeling method - Google Patents
A kind of micro-grid load coordinates control analogue system and modeling method Download PDFInfo
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Abstract
Coordinate control analogue system and modeling method the invention discloses a kind of micro-grid load, system includes：Micro-capacitance sensor element layer, coordination key-course, intermediate communication layer, intelligent body node layer, control decision layer；Method includes：Build micro-capacitance sensor analogue system；Carry out priority division to load model, and real-time monitoring load model running status and parameter and distributed power source model running state and parameter, and calculate each residue generating capacity；The running status of micro-capacitance sensor is obtained in real time, and calculates the net capability of current all micro batteries, it is compared the peak load for obtaining that access can be increased with required power load, and judge whether to send excision load instruction；According to the excision load instruction for receiving, excision operation is performed to load model according to the priority for being divided to load model in advance.The present invention can carry out priority division to load, realize the optimal coordinated control of load, be suitable for the actual demand that micro-grid load coordinates control simulation modeling.
Description
Technical field
Coordinate control analogue system and modeling method the present invention relates to a kind of micro-grid load, belong to micro-grid system emulation
Technical field.
Background technology
As the extensive access and communication of distributed new, measurement, control technology are developed rapidly, people are to the present age
Requirement higher is proposed with following intelligent grid, micro-capacitance sensor is the mostly important distributed display form of intelligent grid, is
A kind of emerging energy transmission mode for increasing regenerative resource and distributed energy permeability in energy supply system, it is not by
Control, protection device of congener distributed power source, energy-storage system, the user terminal of load and correlation etc. are constituted.For
The research of micro-capacitance sensor correlation technique, for effectively improving the security of Operation of Electric Systems, improving the quality of power supply and reducing energy consumption
With very important realistic meaning.
And the wherein differentiated control of load and optimal coordinated control strategy is one of its important research contents, due to by field
The limitation of the factors such as ground, cost, security, it is difficult to directly in physical platform system to various optimal coordinated control strategies repeatedly
Tested, and multi-agent optimized coordination control strategy and bottom that existing emulation platform is difficult to take into account simultaneously upper strata are micro-
The modeling and simulating of power system operation, it is impossible to meet the actual demand that existing micro-grid load coordinates control simulation analysis.
The content of the invention
The technical problems to be solved by the invention are to overcome the deficiencies in the prior art, there is provided a kind of micro-grid load is coordinated
Control analogue system and modeling method, solve existing emulation platform and are difficult to take into account the multi-agent optimized coordination on upper strata simultaneously again
The problem of the modeling and simulating of control strategy and bottom micro-capacitance sensor runtime.
It is of the invention specific using following technical scheme solution above-mentioned technical problem：
A kind of micro-grid load coordinates control analogue system, including：
Micro-capacitance sensor element layer, including the distributed electrical source model and load model connected by main electrical scheme；
Coordinate key-course, including it is for connecting the distributed micro battery Controlling model of distributed electrical source model and negative for connecting
The spatial load forecasting model of lotus model；
Intermediate communication layer, data exchange is set up for will coordinate key-course between intelligent body node layer, control decision layer respectively
Passage；
Intelligent body node layer, including distributed power source Agent and load Agent, wherein distributed power source Agent are used for by number
Distributed power source model running state and parameter are connected according to interchange channel real-time monitoring, and calculates each distributed electrical source model
Remaining generating capacity；The load Agent is used to carry out priority division to load model in advance, and by data exchange channel
The running status and parameter of real-time monitoring institute connected load model；
Control decision layer, including micro-capacitance sensor control centre Agent, for the distributed power source that basis is received by data exchange channel
Agent monitors the running status and parameter of distributed electrical source model, and load Agent monitors the running status of load model
And parameter, the running status of micro-capacitance sensor is obtained in real time；And the net capability of the current all distributed electrical source models of calculating, obtain
It is to the peak load that can currently increase access and big according to the load of the peak load that can increase access and newly-increased load model
It is small to judge whether that generating and send excision load instruction and operation coordinates instruction；
Spatial load forecasting model is additionally operable to according to the excision load instruction for receiving data exchange channel transmission in the coordination key-course
The excision operation to corresponding load model is performed, and control accesses newly-increased load model, and distributed micro battery control mould
Type is additionally operable to coordinate the operational factor that instruction adjustment connects distributed micro battery model according to operation, to complete micro-grid load
Coordinate control emulation.
Further, as a preferred technical solution of the present invention：The distributed electrical source model includes photovoltaic generation
Model, wind-power electricity generation model, energy storage model.
Further, as a preferred technical solution of the present invention：The distributed power source Agent or load Agent
Including component attributes submodule, intelligent decision submodule and data traffic module, wherein component attributes submodule is used to define
The running status of micro-capacitance sensor element；The intelligent decision submodule, for receiving micro-capacitance sensor element according to data communication submodule
Running status and parameter formulate control decision, and control decision is sent by data communication submodule.
Further, as a preferred technical solution of the present invention：The intelligent decision submodule includes algorithmic rule
Storehouse, decision model and processor, wherein algorithmic rule storehouse are used to store micro-capacitance sensor operation control rule；The decision model, uses
It is analyzed according to the running status and parameter for receiving micro-capacitance sensor element；The processor, for being transported according to the micro-capacitance sensor
The Analysis result calculation generation control decision of row control rule and decision model.
Further, as a preferred technical solution of the present invention：The load Agent is additionally operable to monitoring to increase newly
When load model is accessed, actively send electricity consumption to micro-capacitance sensor control centre Agent and ask.
Further, as a preferred technical solution of the present invention：The distributed power source Agent is additionally operable to other
The remaining generating capacity that distributed power source Agent shares monitored running status and parameter, calculated.
On this basis, the present invention also proposes that a kind of micro-grid load coordinates control emulation modelling method, including following step
Suddenly：
The simulation model of micro-capacitance sensor element is set up in emulation platform, and completes the interconnection between the simulation model, with
Build and obtain micro-capacitance sensor analogue system；
In micro-capacitance sensor analogue system is built, carry out priority division to load model, and real-time monitoring load model operation
State and parameter；And the running status and parameter of real-time monitoring distributed electrical source model, and calculate each distributed electrical source model
Remaining generating capacity；
According to the running status and parameter of monitored load model, and distributed electrical source model running status and parameter, in real time
The running status of acquisition micro-capacitance sensor, and the net capability of current all micro batteries is calculated, by itself and required power load ratio
Relatively obtain currently increasing the peak load of access, and asked according to the peak load that can currently increase access and newly-increased electricity consumption
Payload judges whether that generating and send excision load instruction and operation coordinates instruction；
Excision load instruction and operation according to receiving coordinate instruction, according to the priority for being divided to load model in advance to institute
The load model of connection performs excision operation, and connects distributed micro battery model according to the operation coordination instruction adjustment for receiving
Operational factor；And controlling newly-increased electricity consumption request to access so that micro-capacitance sensor keeps power-balance in operation.
Further, as a preferred technical solution of the present invention：Methods described includes being connect when described can currently increase
When the peak load for entering is more than the load of newly-increased electricity consumption request, the access of newly-increased electricity consumption request is directly controlled.
Further, as a preferred technical solution of the present invention：Methods described also includes currently increasing when described
When the peak load of access is less than the load of newly-increased electricity consumption request, the priority according to institute's connected load model please with newly-increased electricity consumption
The load priority asked judges whether to perform excision operation to institute's connected load model.
Further, as a preferred technical solution of the present invention：Methods described is included to connected and priority
The load model of the load priority asked less than newly-increased electricity consumption, excision operation is performed according to priority order from low to high.
The present invention uses above-mentioned technical proposal, can produce following technique effect：
The micro-grid load that the present invention is provided coordinates control analogue system and modeling method, and easily load can be carried out
Priority is divided, and realizes the optimal coordinated control of load；Amount of communication data is small between each intellectual Agent, and can be real
Existing cross-platform emulation, system has very strong portability and expansion；For different applications, can change at any time
The corresponding module in Agent inside, with stronger versatility；JADE platforms are considered simultaneously for multi-agent optimized coordination
Modeling and simulating and SIMULINK platforms are used for the advantage of micro-capacitance sensor operation emulation, modeling and control；Than electric power single at present
Emulation is suitable for the actual demand that micro-grid load coordinates control simulation modeling.
Brief description of the drawings
Fig. 1 is the structural representation of micro-grid load coordination control analogue system in the present invention.
Fig. 2 is the structural representation of intelligent body in the present invention.
Fig. 3 is the schematic flow sheet of micro-grid load coordination control emulation modelling method in the present invention.
Specific embodiment
Embodiments of the present invention are described with reference to Figure of description.
The present invention proposes that a kind of micro-grid load coordinates control analogue system, and its structure is as shown in figure 1, including microgrid element
Layer, coordination key-course, intermediate communication layer, intelligent body node layer and control decision layer.The present embodiment is emulated using SIMULINK
Platform sets up the element and network model of micro-capacitance sensor, calculates, analyzes the state parameter of micro-capacitance sensor operation；Using JADE emulation platforms
The intelligent body node layer set up in micro-capacitance sensor and control decision layer, define the multiple agent mould corresponding to micro-capacitance sensor element
Block, the state parameter to micro-capacitance sensor operation is analyzed treatment, Optimal Decision-making, and obtains the coordination control for micro-grid load
Strategy；The intermediate communication layer of system is realized between SIMULINK and JADE platforms using interface module MACSimJX in embodiment
Data exchange.
Micro-capacitance sensor element layer described in system, including several distributed electrical source models for being connected by main electrical scheme and some
Individual load model；Wherein include photovoltaic generation model, wind-power electricity generation model, energy storage model distributed power source model, Yi Jibi
The electrical connection wanted.
The coordination key-course, including for connecting the distributed micro battery Controlling model of distributed electrical source model, and use
In the spatial load forecasting model of connected load model；Wherein, distributed micro battery Controlling model can by inverter with corresponding point
Cloth power source model is connected, specifically, distributed micro battery Controlling model can be PQ controllers, droop control device etc., is then used for
Power output, voltage, frequency stabilization of regulation micro-capacitance sensor of inverter etc. are controlled, inverter is directly controlled the distribution of connection
Decline power source model.
Intermediate communication layer, comprising MACSimJX data communication interface modules, for will coordinate key-course respectively with intelligence
Data exchange channel can be set up between body node layer, control decision layer；
The intelligent body node layer, including photovoltaic, blower fan, energy storage distributed power supply Agent and load Agent, wherein being distributed
Formula power supply Agent connections corresponding with corresponding distributed electrical source model respectively, for by data exchange channel real-time monitoring institute
The running status and parameter of distributed electrical source model are connected, including the power output of distributed electrical source model etc., and each point is calculated
The remaining generating capacity of cloth power source model；Load Agent connections corresponding with load model respectively, in advance to negative
Lotus model carries out priority division, and by the running status and ginseng of data exchange channel real-time monitoring institute connected load model
Number.
The control decision layer, including micro-capacitance sensor control centre Agent, for basis by dividing that data exchange channel is received
The running status and parameter and load Agent that cloth power supply Agent monitors distributed electrical source model monitor load model
Running status and parameter, obtain the running status of micro-capacitance sensor in real time；And calculate the maximum confession of current all distributed electrical source models
Electric energy power, it is compared the peak load for obtaining can currently increasing access with required power load, and connect according to can currently increase
The peak load for entering and the payload of newly-increased electricity consumption request judge whether that generating and send excision load instruction and operation coordinates
Instruction.I.e.：When the net capability of the current all micro batteries for being calculated meets current desired power load, maintain to working as
The coordination state of a control of preceding micro-capacitance sensor；When the current power supply capacity of system power load current desired less than system, micro-capacitance sensor control
Instruction is coordinated in center Agent generations excision load instruction processed and operation, and the finger of cut-out load is sent to load Agent
Order, sends operation and coordinates instruction to distributed power source Agent.Load Agent according to receive excision load instruction, according to advance
The priority divided to load model can perform excision operation according to order from low to high to the load model for being connected, and divide
Cloth power supply Agent coordinates the operational factor that instruction adjustment connects distributed micro battery model according to the operation for receiving so that
Micro-capacitance sensor keeps power-balance in operation, and control emulation is coordinated to complete micro-grid load.
And, when being additionally included in load Agent and monitoring that newly-increased load model is accessed, actively to micro-capacitance sensor control centre
Agent sends electricity consumption request, and micro-capacitance sensor control centre Agent is according to the peak load judgement for determining can currently to increase access
It is no to allow newly-increased load model to immediately access.When allowing to immediately access, load Agent control spatial load forecastings model cootrol will be new
Increase load model to be directly accessed into micro-capacitance sensor；If be judged as not allowing newly-increased load model to immediately access, will be born in system
Lotus model is compared with the priority of newly-increased load model, judges whether to need to hold the load model of low priority in system
Row excision operation, i.e., when to not allowing newly-increased load model to immediately access, will be less than newly-increased electricity consumption request correspondence mould in system
The load model of type priority performs excision operation, and the order execution excision operation preferably according to priority from low to high.
In system, the distributed power source Agent is additionally operable to other distributed power sources in the intelligent body node layer of place
Agent shares monitored running status and parameter and the remaining generating capacity for being calculated so that the advantage of multiple agent is can
With Self-organizing Coordinated, when micro-capacitance sensor control centre Agent is abnormal, there is no the instruction on upper strata, the distribution of intelligent body node layer
Can also be mutually coordinated between power supply Agent, maintain the normal operation of system.
Further, distributed power source Agent described in intelligent body node layer and load Agent in system, its structure is such as
Shown in Fig. 2, component attributes submodule, intelligent decision submodule and data traffic module are may each comprise, and connect by two groups
Mouth carries out information exchange with micro-capacitance sensor element and other multiple agents respectively.
The component attributes submodule is used to defining the running status of micro-capacitance sensor element, including micro-capacitance sensor element operation shape
The rule of state parameter, control parameter and state of a control change, wherein micro-capacitance sensor element can be the distribution in micro-capacitance sensor element layer
Power source model or load model；The intelligent decision submodule, for receiving micro-capacitance sensor element according to data communication submodule
Monitoring running status and parameter formulate control decision, and are sent control decision by data communication submodule.
Wherein, the intelligent decision submodule preferably includes algorithmic rule storehouse, decision model and processor, the algorithm rule
Then storehouse is used to store micro-capacitance sensor operation control rule, after the micro-capacitance sensor operation control rule can be directly obtained from the prior art
Store in rule base, also dependent on storage after the actual conditions generation control rule of micro-capacitance sensor；The decision model, for root
Acquisition result is analyzed according to the running status and parameter that receive micro-capacitance sensor element；The processor, for according to algorithmic rule
The Analysis result calculation generation control decision of micro-capacitance sensor operation control rule and decision model in storehouse.
The system is based on JADE and SIMULINK emulation platforms so that micro-grid load is coordinated control analogue system and examined simultaneously
Considered JADE platforms for multi-agent optimized coordination modeling and simulating and SIMULINK platforms be used for micro-capacitance sensor operation emulation,
Modeling and control, easily carry out priority division to load, realize the optimal coordinated control of load, also, each intelligence
Amount of communication data is small between energy body Agent, and can realize cross-platform emulation, and system has very strong portability and expansion
Property；For different applications, the corresponding module in Agent inside can be at any time changed, with stronger versatility.
On the basis of said system, the present invention have also been devised a kind of micro-grid load and coordinate control emulation modelling method, this
Method is applicable but is not limited only to said system, and other systems of the prior art equally carry out emulation and build using this method
Mould, completes emulation and the load coordinated control of micro-capacitance sensor.The schematic flow sheet of the method is as shown in figure 3, specifically include following step
Suddenly：
Step 1, the simulation model for setting up in emulation platform micro-capacitance sensor element, and complete the mutually interconnection between the simulation model
Connect, micro-capacitance sensor analogue system is obtained to build；
The system that the analogue system preferably uses said structure, i.e.,：According to the structure of micro-capacitance sensor, in SIMULINK emulation platforms
The middle simulation model for setting up micro-capacitance sensor element, such as photovoltaic generation model, wind-power electricity generation model, energy storage model distributed power supply mould
Type and load model, also including the electrical connection between element；And set up main in correspondence micro-capacitance sensor in JADE emulation platforms
The intelligent body node layer of element and control decision layer, including photovoltaic, blower fan, energy storage distributed power supply Agent and load
Agent etc..And according to the demand for control of micro-capacitance sensor, set up micro-capacitance sensor control centre Agent；Connect by MACSimJX data communication
Mouth mold block builds the data exchange channel between JADE and SIMULINK emulation platforms, realizes that the information between two platforms is handed over
Mutually.
Step 2, build micro-capacitance sensor analogue system in, coordinate key-course real-time control effect under, it is ensured that micro-capacitance sensor
Stable operation.Detailed process is as follows：
Load Agent carries out priority division to load model in step 21, first system.
Controlling cycle is coordinated in step 22, setting, and when a cycle starts, the operation shape of real-time monitoring load model
State and parameter；And distributed power source Agent real-time monitorings distributed power source model running state and parameter, such as monitor distributed electrical
The power output of source model, and calculate the remaining generating capacity of each distributed electrical source model.
Step 23, the micro-capacitance sensor control centre Agent according to the running status and parameter of monitored load model, and point
Cloth power source model running status and parameter, such as power output, obtain the running status of micro-capacitance sensor, and calculate current all in real time
The net capability of micro battery, the system that obtains can currently increase the peak load of access, and according to can currently increase access
Peak load and the payload of newly-increased electricity consumption request judge whether that generating and send excision load instruction and operation coordinates instruction.
Step 24, when the current net capability of system can meet current desired power load, i.e., in the presence of currently may be used
Increase the peak load for accessing, maintain the coordination state of a control to current micro-capacitance sensor, perform step 25；When the current maximum of system
When power supply capacity can not meet current desired power load, cutout unit is sent from micro-capacitance sensor control centre Agent to load Agent
Divide the instruction of load, and operation is sent to distributed power source Agent and coordinate instruction.
The load Agent is preferential preferably according to what is divided to load model in advance according to the excision load instruction for receiving
Level order from low to high performs the excision operation to institute's connected load model, the corresponding overload load of excision, and distributed electrical
Source Agent coordinates the operational factor that instruction adjustment connects distributed micro battery model according to the operation for receiving, and completes in this week
Coordination control under phase so that micro-capacitance sensor keeps power-balance in operation.Then, execution step 22 is returned to.
Step 25, when load Agent monitors that there is newly-increased load model needs to access, from load Agent actively to
Micro-capacitance sensor control centre Agent sends electricity consumption request.
Step 26, the micro-capacitance sensor control centre Agent are according to the peak load and newly-increased use for determining to increase access
The payload of electricity request determines whether that newly-increased load model is accessed.Its deterministic process is：
If can increase the peak load of access can accommodate the newly-increased load model, by micro-capacitance sensor control centre Agent according to generating
Cost order from low to high sends to corresponding distributed power source Agent increases the operation coordination instruction of power output, and to
Load Agent sends the instruction for accessing load, while the power after coordinating the access of key-course real-time control load model is put down
Weighing apparatus, after newly-increased load model is accessed, completes the coordination control under the cycle；And start the new execution cycle, i.e., to return again
Receipt row step 22, the coordination control in complete process.
It is if the peak load that can increase access is not enough to accommodate the newly-increased load, load model in system is negative with newly-increased
The priority ratio of lotus model compared with, judge whether in system load model perform excision operation.Specially：
First determine whether the priority of newly-increased load model, if the priority of the load model be not higher than it is any in current system
Load model, the then electricity consumption request of the load model is not responded, and is returned and is performed step 22；If the priority of the load model
Higher than the sub-load model in current system, and cut-out low priority load model so that system can be accommodated
The load model that the request is accessed, then send cut-out low priority and bear from micro-capacitance sensor control centre Agent to load Agent
The instruction of lotus, then sends the instruction of the newly-increased load model of access to load Agent again, and control increases the access of load model newly,
And coordinate instruction to the operation that distributed power source Agent sends increase power output, while being born by coordination key-course real-time control
Power-balance after lotus access；After newly-increased load model is accessed, the coordination control under the cycle is completed；And start new holding
Line period, that is, return to execution step 22, by repeating coordination control, completes the simulation modeling process of micro-capacitance sensor, and
So that analogue system keeps power-balance in operation.
Thus, the method for the present invention is considered for the modeling and simulating of multi-agent optimized coordination and for micro- electricity simultaneously
Network operation emulation, modeling and control, easily can carry out priority division to load, realize that control is coordinated in the optimization of load
System.The actual demand that micro-grid load coordinates control simulation modeling is suitable for than electric analog single at present.
To sum up, the present invention uses multi-agent Technology, in simulation process it can be seen that the state change of intelligent module and
The Parameters variation of micro electric network coordination control, the module in involved modeling method has independence, independence and intelligent, realization
The coordination control of micro-grid load.
Embodiments of the present invention are explained in detail above in conjunction with accompanying drawing, but the present invention is not limited to above-mentioned implementation
Mode, in the ken that those of ordinary skill in the art possess, can also be on the premise of present inventive concept not be departed from
Make a variety of changes.
Claims (10)
1. a kind of micro-grid load coordinates control analogue system, it is characterised in that including：
Micro-capacitance sensor element layer, including the distributed electrical source model and load model connected by main electrical scheme；
Coordinate key-course, including it is for connecting the distributed micro battery Controlling model of distributed electrical source model and negative for connecting
The spatial load forecasting model of lotus model；
Intermediate communication layer, data exchange is set up for will coordinate key-course between intelligent body node layer, control decision layer respectively
Passage；
Intelligent body node layer, including distributed power source Agent and load Agent, wherein distributed power source Agent are used for by number
Distributed power source model running state and parameter are connected according to interchange channel real-time monitoring, and calculates each distributed electrical source model
Remaining generating capacity；The load Agent is used to carry out priority division to load model in advance, and by data exchange channel
The running status and parameter of real-time monitoring institute connected load model；
Control decision layer, including micro-capacitance sensor control centre Agent, for the distributed power source that basis is received by data exchange channel
Agent monitors the running status and parameter of distributed electrical source model, and load Agent monitors the running status of load model
And parameter, the running status of micro-capacitance sensor is obtained in real time；And the net capability of the current all distributed electrical source models of calculating, will
It compares the peak load for obtaining can currently increasing access with required power load, and is born according to the maximum that can currently increase access
The payload of lotus and newly-increased load model judges whether that generating and send excision load instruction and operation coordinates instruction；
Spatial load forecasting model is additionally operable to according to the excision load instruction for receiving data exchange channel transmission in the coordination key-course
The excision operation to corresponding load model is performed, and control accesses newly-increased load model；And distributed micro battery control mould
Type is additionally operable to coordinate the operational factor that instruction adjustment connects distributed micro battery model according to operation, to complete micro-grid load
Coordinate control emulation.
2. micro-grid load coordinates control analogue system according to claim 1, it is characterised in that：The distributed power source mould
Type includes photovoltaic generation model, wind-power electricity generation model, energy storage model.
3. micro-grid load coordinates control analogue system according to claim 1, it is characterised in that：The distributed power source
Agent or load Agent includes component attributes submodule, intelligent decision submodule and data traffic module, wherein element category
Temper module is used to define the running status of micro-capacitance sensor element；The intelligent decision submodule, for according to data communication submodule
The running status and parameter that block receives micro-capacitance sensor element formulate control decision, and are sent out control decision by data communication submodule
Send.
4. micro-grid load coordinates control analogue system according to claim 3, it is characterised in that：The intelligent decision submodule
Block includes algorithmic rule storehouse, decision model and processor, and wherein algorithmic rule storehouse is used to store micro-capacitance sensor operation control rule；Institute
Decision model is stated, for being analyzed according to the running status and parameter that receive micro-capacitance sensor element；The processor, for basis
The Analysis result calculation generation control decision of the micro-capacitance sensor operation control rule and decision model.
5. micro-grid load coordinates control emulation modelling method according to claim 1, it is characterised in that：The load
Agent is additionally operable to, when monitoring that newly-increased load model is accessed, actively send electricity consumption to micro-capacitance sensor control centre Agent and ask.
6. micro-grid load coordinates control emulation modelling method according to claim 1, it is characterised in that：The distributed electrical
Source Agent is additionally operable to share monitored running status, parameter, and the remaining hair for being calculated to other distributed power sources Agent
Electric energy power.
7. a kind of micro-grid load coordinates control emulation modelling method, it is characterised in that comprise the following steps：
The simulation model of micro-capacitance sensor element is set up in emulation platform, and completes the interconnection between the simulation model, with
Build and obtain micro-capacitance sensor analogue system；
In micro-capacitance sensor analogue system is built, carry out priority division to load model, and real-time monitoring load model operation
State and parameter；And the running status and parameter of real-time monitoring distributed electrical source model, and calculate each distributed electrical source model
Remaining generating capacity；
According to the running status and parameter of monitored load model, and distributed electrical source model running status and parameter, in real time
The running status of acquisition micro-capacitance sensor, and the net capability of current all micro batteries is calculated, by itself and required power load ratio
Relatively obtain currently increasing the peak load of access, and asked according to the peak load that can currently increase access and newly-increased electricity consumption
Payload judges whether that generating and send excision load instruction and operation coordinates instruction；
Excision load instruction and operation according to receiving coordinate instruction, according to the priority for being divided to load model in advance to institute
The load model of connection performs excision operation, and connects distributed micro battery model according to the operation coordination instruction adjustment for receiving
Operational factor；And controlling newly-increased electricity consumption request to access so that micro-capacitance sensor keeps power-balance in operation.
8. micro-grid load coordinates control emulation modelling method according to claim 7, it is characterised in that：Methods described includes
When the peak load that can currently increase access is more than the load of newly-increased electricity consumption request, newly-increased electricity consumption request is directly controlled
Access.
9. micro-grid load coordinates control emulation modelling method according to claim 7, it is characterised in that：Methods described is also wrapped
Include when the peak load that can currently increase access is less than the load of newly-increased electricity consumption request, according to institute's connected load model
The load priority that priority is asked with newly-increased electricity consumption judges whether to perform excision operation to institute's connected load model.
10. micro-grid load coordinates control emulation modelling method according to claim 9, it is characterised in that：Methods described bag
The load model of the load priority that newly-increased electricity consumption request is less than to connected and priority is included, according to priority from low to high
Order perform excision operation.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108763665A (en) * | 2018-05-14 | 2018-11-06 | 北京科东电力控制系统有限责任公司 | Grid simulation analyzes date storage method and device |
| CN111555271A (en) * | 2020-04-27 | 2020-08-18 | 国网河北省电力有限公司电力科学研究院 | Low-voltage user load regulation and control semi-physical simulation system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108763665A (en) * | 2018-05-14 | 2018-11-06 | 北京科东电力控制系统有限责任公司 | Grid simulation analyzes date storage method and device |
| CN108763665B (en) * | 2018-05-14 | 2020-11-03 | 北京科东电力控制系统有限责任公司 | Power grid simulation analysis data storage method and device |
| CN111555271A (en) * | 2020-04-27 | 2020-08-18 | 国网河北省电力有限公司电力科学研究院 | Low-voltage user load regulation and control semi-physical simulation system |
| CN111598430A (en) * | 2020-05-13 | 2020-08-28 | 国网山东省电力公司平邑县供电公司 | Cross-region coordination information processing method and device for smart power grid |
| CN112332540A (en) * | 2020-10-28 | 2021-02-05 | 上海交通大学 | Microgrid, and simulation device and method |
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