CN206164204U - Optimizing system is united to initiative distribution network - Google Patents
Optimizing system is united to initiative distribution network Download PDFInfo
- Publication number
- CN206164204U CN206164204U CN201620766107.1U CN201620766107U CN206164204U CN 206164204 U CN206164204 U CN 206164204U CN 201620766107 U CN201620766107 U CN 201620766107U CN 206164204 U CN206164204 U CN 206164204U
- Authority
- CN
- China
- Prior art keywords
- distribution network
- controllable
- controller
- central server
- optimization
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
- Y04S10/40—Display of information, e.g. of data or controls
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The utility model provides an optimizing system is united to initiative distribution network, include: the SCADA system for realize the data acquisition and the supervisory control of initiative distribution network, jointly optimize the central server, receive power grid operation data and weather data, generate the optimization instruction and issue according to power grid operation data and weather data, layered distribution controller and a plurality of controllable pair are like the controller, the layered distribution controller is connected and jointly to be optimized central server and controllable pair between like the controller, will optimize to instruct to be distributed to the controllable pair like the controller, the controllable pair receive like the controller optimization instruction and the controllable pair in the control adjustment electric wire netting of the distribution of distribution hierarchical control ware like, may control object controller lug connection jointly optimize the central server, receive jointly optimize optimization instruction that the central server issued and controllable pair in the control adjustment electric wire netting like. The problem of on a large scale, during accesss distribution network such as the multiple categorical distribution formula energy, flexible load the distributed energy dissolve, load management initiatively is solved.
Description
Technical field
The utility model is related to active distribution network optimisation technique, more particularly to a kind of active distribution network combined optimization system.
Background technology
With the development of distributed generation technology, distributed energy is increasingly becoming the important component part of the electrical network energy.Pin
Access to increasing distributed energy in power distribution network, to conventional electrical distribution net higher technical requirements are proposed.Here becomes
Under gesture, international conference on large HV electric systems distribution and working group of the distributed generation technology committee propose the concept of active distribution network.It is main
Dynamic power distribution network is to various types of distributed energies by advanced information, communication, power electronics and automatic control technology
Control is combined, the height for meeting green regenerative energy sources utilizes and realize the distribution of the flexible control of power distribution network bi-directional current
Network, is the effective technology means that can fundamentally solve power distribution network highly compatible distributed energy, is also that power distribution network is following
Main development pattern.
Due to the flexible controllable monitoring and the realization of scheduling of increasing controlled distribution formula plant-grid connection and power distribution network,
Traditional direct monitoring method cannot have been realized carrying out the whole network scheduling and monitoring to large-scale distribution system, and this is just to " layering "
The technology of control provides demand.
The development of microgrid, accesses power distribution network and provides an effective means for distributed power source, but microgrid scale compared with
It is little, centralized management can only be carried out to distributed energy, limit its development scale.Except the common distributed electrical such as photovoltaic, blower fan
Source and energy storage add power distribution network, such as more and more other energy resource systems, cold, heat and power triple supply system, small power station also attempting
Power distribution network is added, this just proposes higher demand to active distribution network technology.In addition, with the proposition of controllable burden technology,
Active load management system it is also proposed new challenge to active distribution network also into the control range of active distribution network.
Utility model content
Technical problem to be solved in the utility model is to provide a kind of active distribution network combined optimization system, solves big rule
Distributed energy consumption, the problem of active load management when mould, multiple types distributed energy, flexible load etc. access power distribution network.
To solve the above problems, the utility model proposes a kind of active distribution network combined optimization system, including：
SCADA system, to the data acquisition and/or monitoring control of realizing active distribution network；
Combined optimization central server, by SCADA system described in network connection, receives the operation of SCADA system collection
Data, while receiving weather data, according to service data and weather data optimization instruction are generated, and are issued；
Layer distributed controller and multiple controllable object controllers；The layer distributed controller is connected in combined optimization
Between central server and controllable object controller, optimization instruction is distributed to into the controllable object controller of connection；The controllable pair
As the optimization that controller connects the distributed-hierarchical controller, the reception distributed-hierarchical controller is distributed is instructed and control adjustment
Controllable pair in electrical network as, or the controllable object controller be directly connected to the combined optimization central server, receive institute
The controllable pair stated optimization instruction that combined optimization central server issues and control in adjustment electrical network as.
According to one embodiment of the present utility model, the controllable pair is as being divided into 10kV levels controllable pair as can with 0.38kV levels
Control object.
According to one embodiment of the present utility model, the 10kV levels controllable pair is directly accessed 10kV electric pressures as including
Controllable small power station's system, and/or, photovoltaic generating system, and/or, wind generator system, and/or, energy-storage system and/
Or, cold, heat and power triple supply system, and/or, gate-controlled switch；The 0.38kV levels controllable pair is as including access 0.38kV electric pressures
Controllable photovoltaic generating system, and/or, wind generator system, and/or, energy-storage system, and/or, cold, heat and electricity triple supply system
System, and/or, gate-controlled switch.
According to one embodiment of the present utility model, also including active load management system, in connecting the combined optimization
Central server, instructs according to its optimization for issuing and is controlled management to the flexible load in electrical network.
According to one embodiment of the present utility model, the flexible load include electric automobile charging pile, and/or, it is adjustable
Air-conditioning, and/or, adjustable water heater.
According to one embodiment of the present utility model, also including clouds terrace system, connect the combined optimization central server,
For monitoring weather data and being transferred to the combined optimization central server, to provide generating basis for forecasting.
According to one embodiment of the present utility model, the remote measurement and remote signalling of each equipment in SCADA system collection power distribution network
Information, the remote measurement and remote signalling information include active parameter, idle parameter, current parameters, voltage parameter, on off state parameter,
Transformer gear.
After above-mentioned technical proposal, the utility model has the advantages that compared to existing technology：
By way of hierarchical control, increasingly complicated power distribution network unified management is solved the problems, such as；
Global combined optimization is carried out by the distribution network system to diversification, photovoltaic, blower fan, energy storage, trilogy supply is realized
The increasing distributed energy such as system, small power station accesses dissolving on a large scale for power distribution network；
It is right to be realized by the flexible load unified management such as charging pile, adjustable air-conditioning, adjustable water heater to accessing power distribution network
Power distribution network active load management.
Description of the drawings
Fig. 1 is the structural representation of the active distribution network combined optimization system of the embodiment of the utility model one.
Specific embodiment
It is understandable to enable above-mentioned purpose of the present utility model, feature and advantage to become apparent from, below in conjunction with the accompanying drawings to this
The specific embodiment of utility model is described in detail.
Elaborate many details in order to fully understand the utility model in the following description.But this practicality is new
Type can be implemented with being much different from alternate manner described here, and those skilled in the art can be new without prejudice to this practicality
Similar popularization is done in the case of type intension, therefore the utility model is not embodied as being limited by following public.
Referring to Fig. 1, the active distribution network combined optimization system of the present embodiment, including：SCADA(Supervisory
Control And Data Acquisition, data acquisition and monitoring control) system 1, combined optimization central server 2, point
Layer distribution control unit 3 and multiple controllable object controllers 4.
SCADA system 1 and combined optimization central server 2, between the two by local area network communication, have by network connection
Body can be connected by optical fiber.The service data of each equipment in the collection active distribution network of SCADA system 1, and service data is uploaded
To combined optimization central server 1.Service data includes that on off state, the active reactive electric current that flows through of switch, circuit head end have
Work(reactive current, line end active reactive electric current, transformer active reactive current, transformer gear, generated power is idle
Electric current, generator port voltage magnitude angle, load active reactive electric current, busbar voltage amplitude angle, flexible load parameter, point
The grid measurement datas such as cloth power supply active reactive Current Voltage.SCADA system 1 also may be used to the monitoring control of active distribution network
System.
Optionally, the remote measurement of each equipment and remote signalling information, remote measurement and remote signalling information in the collection of SCADA system 1 power distribution network
Including active parameter, idle parameter, current parameters, voltage parameter, on off state parameter, transformer gear.
Combined optimization central server 2 receives the service data that SCADA system 1 is uploaded, while weather data is received, according to
Service data and weather data generate optimization instruction, and issue.Combined optimization central server 2 can be with according to demand history data
The size of prediction future load, can predict photovoltaic, the future of blower fan distributed power supply exerts oneself according to weather data, comprehensively examine
Consider electrical network running status, global optimization is carried out to electrical network, obtain each controllable pair as or region optimizing index, with instruct
Mode is handed down to layer distributed controller 3 or controllable object controller 4.
Layer distributed controller 3 is connected between combined optimization central server 2 and controllable object controller 4, will be optimized
Instruction is distributed to the controllable object controller 4 of connection.Controllable object controller in the management certain area of layer distributed controller 3
4, by way of hierarchical control, solve the problems, such as increasingly complicated power distribution network unified management.
Controllable object controller 4 can connect distributed-hierarchical controller 3, receive the optimization of the distribution of distributed-hierarchical controller 3
The controllable pair for instructing and controlling in adjustment electrical network is as 11；Or controllable object controller 4 can be directly connected to combined optimization center
Server 2, the controllable pair that the optimization that reception combined optimization central server 2 is issued is instructed and controlled in adjustment electrical network is as 11.Control
Controllable pair processed is as the object in 11 is according to optimization instruction operation.
Controllable pair as 11 points be 10kV levels controllable pair as with 0.38kV levels controllable pair as.Further, 10kV levels controllable pair
As can include be directly accessed 10kV electric pressures controllable small power station's system, and/or, photovoltaic generating system, and/or, wind
Force generating system, and/or, energy-storage system, and/or, cold, heat and power triple supply system, and/or, gate-controlled switch etc.；0.38kV levels can
Control object can include access 0.38kV electric pressures controllable photovoltaic generating system, and/or, wind generator system and/
Or, energy-storage system, and/or, cold, heat and power triple supply system, and/or, gate-controlled switch etc..
In one embodiment, active distribution network combined optimization system can also include active load management system.Actively
The connection combined optimization of load management system 5 central server 2, the optimization for receiving and being issued according to combined optimization central server 2
Instruct and management is controlled to the flexible load in electrical network.Flexible load performs corresponding operating according to optimization instruction.
Flexible load may include electric automobile charging pile, and/or, adjustable air-conditioning, and/or, adjustable water heater.
In one embodiment, active distribution network combined optimization system also includes clouds terrace system 6.Clouds terrace system 6 connects (net
Network connects) combined optimization central server 2, for monitoring weather data and being transferred to combined optimization central server 2, to provide
Generating basis for forecasting.Clouds terrace system 6 is used to monitor the weather datas such as wind speed, wind direction, intensity of illumination, temperature, humidity, and is uploaded to
Combined optimization central server 2, the input data of the prediction that generates electricity as photovoltaic, blower fan etc. and the weather conditions number of scene operation
According to.Combined optimization central server 2 obtains generating prediction data, the generating by the weather condition data of acquisition clouds terrace system
Prediction data also serves as a factor of Optimizing manufacture instruction.
The operation principle of the active distribution network combined optimization system of the utility model embodiment is as follows：
Step 1：The digital ＆ analog signal information of each equipment in active distribution network is gathered by SCADA system 1；
Step 2：The weather data at scene is obtained by clouds terrace system 6；
Step 3：The digital ＆ analog signal information obtained according to step 1 and step 2 and weather data, combined optimization central server
2 pairs of electrical networks carry out global optimization, obtain each controllable pair as or region optimizing index；
Step 4：Combined optimization central server 2 directs or through layer distributed controller 3 indirectly by under optimizing index
Each control controllable pair of controllable object controller 4 is issued as 11 perform；
Step 5：Combined optimization central server 2 issues the optimizing index of flexible load by active load management system
Perform to each flexible load.
Step 6：Step 1 is returned, realizes that power distribution network rolls in real time closure optimization.
Although the utility model is disclosed as above with preferred embodiment, it is not for limiting claim, Ren Heben
Art personnel can make possible variation and modification in without departing from spirit and scope of the present utility model, therefore
The scope that protection domain of the present utility model should be defined by the utility model claim is defined.
Claims (7)
1. a kind of active distribution network combined optimization system, it is characterised in that include：
SCADA system, to the data acquisition and/or monitoring control of realizing active distribution network；
Combined optimization central server, by SCADA system described in network connection, receives the service data of SCADA system collection,
Weather data is received simultaneously, optimization instruction is generated according to service data and weather data, and issue；
Layer distributed controller and multiple controllable object controllers；The layer distributed controller is connected to genuinely convinced in combined optimization
Between business device and controllable object controller, optimization instruction is distributed to into the controllable object controller of connection；The controllable pair is as control
Device processed connects the distributed-hierarchical controller, the optimization of the reception distributed-hierarchical controller distribution and instructs and control adjustment electrical network
In controllable pair as, or the controllable object controller be directly connected to the combined optimization central server, receive it is described
Close optimization central server issue optimization instruction and control adjustment electrical network in controllable pair as.
2. active distribution network combined optimization system as claimed in claim 1, it is characterised in that the controllable pair is as being divided into 10kV
Level controllable pair as with 0.38kV levels controllable pair as.
3. active distribution network combined optimization system as claimed in claim 2, it is characterised in that the 10kV levels controllable pair is as bag
Include controllable small power station's system for being directly accessed 10kV electric pressures, and/or, photovoltaic generating system, and/or, wind-power electricity generation system
System, and/or, energy-storage system, and/or, cold, heat and power triple supply system, and/or, gate-controlled switch；The 0.38kV levels controllable pair as
Including access 0.38kV electric pressures controllable photovoltaic generating system, and/or, wind generator system, and/or, energy-storage system,
And/or, cold, heat and power triple supply system, and/or, gate-controlled switch.
4. active distribution network combined optimization system as claimed in claim 1, it is characterised in that also including active load management system
System, connects the combined optimization central server, is instructed according to its optimization for issuing and the flexible load in electrical network is controlled
Tubulation is managed.
5. active distribution network combined optimization system as claimed in claim 4, it is characterised in that the flexible load includes electronic
Automobile charging pile, and/or, adjustable air-conditioning, and/or, adjustable water heater.
6. active distribution network combined optimization system as claimed in claim 1, it is characterised in that also including clouds terrace system, connection
The combined optimization central server, for monitoring weather data and being transferred to the combined optimization central server, to provide
Generating basis for forecasting.
7. active distribution network combined optimization system as claimed in claim 1, it is characterised in that SCADA system gathers power distribution network
In each equipment remote measurement and remote signalling information, the remote measurement and remote signalling information include active parameter, idle parameter, current parameters,
Voltage parameter, on off state parameter, transformer gear.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2016205904365 | 2016-06-16 | ||
| CN201620590436 | 2016-06-16 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN206164204U true CN206164204U (en) | 2017-05-10 |
Family
ID=58647745
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201620766107.1U Active CN206164204U (en) | 2016-06-16 | 2016-07-20 | Optimizing system is united to initiative distribution network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN206164204U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109728650A (en) * | 2019-03-14 | 2019-05-07 | 江苏金智科技股份有限公司 | A kind of active distribution network based on the storage coordinated control of source net lotus |
| CN110580659A (en) * | 2018-06-08 | 2019-12-17 | 神华集团有限责任公司 | Intelligent structure of energy system of nano network based on multi-dimensional heterogeneous data flow driving and control method thereof |
| CN111781853A (en) * | 2020-07-02 | 2020-10-16 | 贵州大学 | Efficiency optimization method for electric drive system of electric automobile |
-
2016
- 2016-07-20 CN CN201620766107.1U patent/CN206164204U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110580659A (en) * | 2018-06-08 | 2019-12-17 | 神华集团有限责任公司 | Intelligent structure of energy system of nano network based on multi-dimensional heterogeneous data flow driving and control method thereof |
| CN109728650A (en) * | 2019-03-14 | 2019-05-07 | 江苏金智科技股份有限公司 | A kind of active distribution network based on the storage coordinated control of source net lotus |
| CN111781853A (en) * | 2020-07-02 | 2020-10-16 | 贵州大学 | Efficiency optimization method for electric drive system of electric automobile |
| CN111781853B (en) * | 2020-07-02 | 2022-04-19 | 贵州大学 | Efficiency optimization method for electric drive system of electric automobile |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102280935B (en) | Intelligent power grid management system | |
| CN108736522B (en) | Operation control system of alternating current-direct current hybrid distributed system | |
| CN104992009B (en) | Active distribution network distributed voltage control method based on multi-agent system | |
| CN106505603B (en) | A kind of layering energy storage micro-capacitance sensor comprising multiple energy-storage units | |
| CN105471109A (en) | Intelligent power consumption management system facing household wind and solar energy mutual-complementing power station and management method thereof | |
| CN104269937B (en) | A kind of operation monitoring system in distributed photovoltaic power station | |
| CN104167763A (en) | Distributed energy management method and distributed energy management device composed of ground layer, intermediate layer and energy management layer | |
| CN103872775B (en) | A kind of intelligent micro-grid supervisory control system and method for supervising | |
| CN104319774B (en) | Monitoring method and device for intelligent community | |
| CN104158187B (en) | A kind of local power net energy and the control method of power secondary distribution and control system | |
| CN103050989A (en) | Active power intelligent control system and method for cluster wind farm | |
| CN206164204U (en) | Optimizing system is united to initiative distribution network | |
| US20130271108A1 (en) | Cellular power supply network, intelligent gateway and power supply control method thereof | |
| CN106602564A (en) | Energy router used for household power distribution system | |
| CN110855006B (en) | Distributed optical storage and charging regulation and control system based on edge internet of things agent | |
| CN104283229A (en) | Comprehensive energy storage power station coordination control system of subsystem self-control mode | |
| CN103166311A (en) | Intelligent distribution box | |
| CN103199529A (en) | IEC61850 standard-based microgrid comprehensive coordination control framework | |
| CN105048515B (en) | For how wind farm grid-connected dispatching method | |
| CN109768554A (en) | The distributed energy resource system test platform scenery control switching method of alternating current-direct current mixing | |
| CN103138293A (en) | Optimal distribution method and system for heat-engine plant plant-level loads | |
| CN110363376A (en) | Comprehensive energy service system Internet-based | |
| CN104078982B (en) | A kind of micro-grid connection based on spatial load forecasting is to from network operation mode switching method | |
| Qin et al. | Overview of micro-grid energy management system research status | |
| CN103378604A (en) | Smart micro-grid |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |