CN108321803A - A kind of peak load regulation network control system and method based on power grid power load data - Google Patents
A kind of peak load regulation network control system and method based on power grid power load data Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 9
- 238000004378 air conditioning Methods 0.000 claims abstract description 45
- 238000012544 monitoring process Methods 0.000 claims abstract description 25
- 230000005611 electricity Effects 0.000 claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 13
- 238000011217 control strategy Methods 0.000 claims abstract description 3
- 238000010438 heat treatment Methods 0.000 claims description 13
- 238000005057 refrigeration Methods 0.000 claims description 10
- 230000005619 thermoelectricity Effects 0.000 claims description 8
- 238000005265 energy consumption Methods 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 238000010248 power generation Methods 0.000 claims description 5
- 239000000463 material Substances 0.000 claims description 4
- 238000013178 mathematical model Methods 0.000 claims description 4
- 239000013307 optical fiber Substances 0.000 claims description 4
- 230000003542 behavioural effect Effects 0.000 claims description 2
- 238000001816 cooling Methods 0.000 claims description 2
- 230000004069 differentiation Effects 0.000 claims description 2
- 230000029087 digestion Effects 0.000 claims description 2
- 210000000697 sensory organ Anatomy 0.000 claims description 2
- 238000011156 evaluation Methods 0.000 claims 1
- 230000006399 behavior Effects 0.000 abstract 2
- 230000009329 sexual behaviour Effects 0.000 abstract 1
- 230000008901 benefit Effects 0.000 description 4
- 230000001276 controlling effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000001172 regenerating effect Effects 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
Classifications
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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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
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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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00019—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using optical means
-
- 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]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
-
- 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
-
- 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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a kind of peak load regulation network control system and method based on power grid power load data, belong to peak load regulation network field.The system includes user behavior otherness monitoring analysis system and comprehensive regulation system two subsystems.User behavior otherness monitoring analysis system monitors the difference sexual behaviour of user, acquire the job information of user's air-conditioning, and the data after calculating are sent to comprehensive regulation system, comprehensive regulation system compares collected data and power grid power load data, control strategy is preferentially chosen, and then adjustment signal is sent to user's air-conditioning and pure condensed steam formula fired power generating unit, reduces the generated output of pure condensed steam formula fired power generating unit, so that wind-powered electricity generation obtains maximizing consumption, while also realizing peak load regulation network.
Description
Technical field
The present invention relates to peak load regulation network technical field, especially a kind of peak load regulation network control based on power grid power load data
System and method for processed.
Background technology
Regenerative resource is quickly grown in recent years, but during grid-connected, and the randomness of regenerative resource is to power grid
Safe operation brings adverse effect, for example, wind power output is affected by weather.In addition to this, the wave at network load end
Dynamic property equally can generate either large or small influence to the operation of power grid, by taking air conditioner load as an example, in 1 year Various Seasonal, and one day
Different time sections, user has a different demands to air-conditioning, such as operating mode (heating, refrigeration) and temperature.
Existing scheduling system predicts do not have only by analysis of history data to the air conditioner load of user terminal
Consider the otherness demand of user, accuracy is relatively low, adds the randomness of wind-powered electricity generation, the depth and underspeed of peak load regulation network with
Wind-powered electricity generation is set to obtain maximum consumption.
Invention content
In view of the drawbacks described above of the prior art, it is an object of the invention to provide one kind being based on power grid power load data
Peak load regulation network control system and method, the otherness demand of user terminal air conditioner load can be acquired, and combine power grid electricity consumption
Load data realizes the relatively accurate prediction of future load, improves peak load regulation network ability so that wind power utilization further increases.
An object of the present invention is that technical solution in this way is realized, a kind of based on power grid power load data
Peak load regulation network control system, it includes：
The system comprises have user's behavioral difference monitoring analysis system and comprehensive regulation system；Wherein, user behavior
Otherness monitoring analysis system includes：
Smart mobile phone, air-conditioning, air-conditioning monitoring analyzer, temperature sensor, ammeter；
Comprehensive regulation system includes：
Pure condensed steam formula fired power generating unit, thermoelectricity data collector, pure condensed steam formula fired power generating unit control device, wind-power electricity generation system
System, wind-powered electricity generation data collector, integrated dispatch control device, cloud computing server, Air Conditioner Remote switch.
Further, user's otherness monitoring analysis system further includes having：
The air-conditioning of user is in parallel with pure condensed steam formula fired power generating unit and wind generator system by power cable；
Temperature sensor is for acquiring user indoor temperature；Temperature sensor is for acquiring user's outdoor temperature；
Ammeter is for acquiring user terminal air-conditioning heating or energy consumption for cooling and non-air conditioning energy consumption；
Smart mobile phone helps user to carry out information exchange with power grid for acquiring user information；
Air-conditioning monitoring analyzer is used to record the indoor and outdoor temperature information of user terminal, acquires power consumption, the prison of air-conditioning
The working condition of air-conditioning is surveyed, and the data after calculating are sent to integrated dispatch control device.
Further, smart mobile phone can provide a user multiple personal service, including selection air-conditioning execute heating action or
Refrigeration action, the acceptable heating of setting or refrigeration temperature levels choose whether to participate in dispatching of power netwoks, and check Spot Price and
User's self benefits；
User can also make each scheduling behavior of power grid according to the sense organ comfort level of oneself, in the form of scoring
Subjective assessment；
Smart mobile phone participates in each user based on consumer psychology according to the above user behavior data with otherness
The probability of scheduling is calculated.
Further, the air-conditioning monitoring analyzer acquires the indoor and outdoor temperature data of user by temperature sensor, builds
Air-conditioning is found after open state switches to closed state, the mathematical model that indoor temperature changes over time；
Based on the mathematical model closing for air-conditioning is calculated according to acceptable heating set by user or refrigeration temperature levels
Break duration, ensures air-conditioning after stopping heating or refrigeration work, and user indoor temperature, which remains unchanged, is in the temperature of user's setting themselves
Within the scope of.
Further, the comprehensive regulation system includes：
Integrated dispatch control device is connect by power optical fiber with cloud computing server, the production capacity information for will receive
It is sent to cloud computing server with user behavior information, and obtains the calculated adjustment signal of cloud computing server.
Further, the data and electricity that the comprehensive regulation system will call family otherness monitoring analysis system to acquire and handle
Net power load data are compared, and control strategy is preferentially chosen, according to the calculated adjustment signal of cloud computing server, to each
The air-conditioning of a user carries out differentiation control, while also controlling the generated output of pure condensed steam formula fired power generating unit, is ensureing
Under conditions of meeting power supply, the generated output of pure condensed steam formula fired power generating unit is reduced, this part of reduction is carried out by wind-powered electricity generation
Compensation, finally makes wind electricity digestion maximize.
Another object of the present invention is that technical solution in this way is realized, one kind being based on power grid power load data
Peak load regulation network control system, it includes：
1) the generated output information of the thermoelectricity data collector acquisition pure condensed steam formula fired power generating unit described in, and it is sent to synthesis
Dispatching control device；
The generated output information of the wind-powered electricity generation data collector acquisition wind generator system, and it is sent to integrated dispatch control
Device processed；
2) air-conditioning monitoring analyzer acquires user terminal information, and is sent to integrated dispatch control device；
3) production capacity information and user terminal information are sent to cloud computing server by integrated dispatch control device, are used with history
Electric load data are compared, by accordingly calculating generation adjustment signal；
4) integrated dispatch control device sends adjustment signal to pure condensed steam formula fired power generating unit control device and Air Conditioner Remote and opens
It closes；
5) pure condensed steam formula fired power generating unit control device is by controlling coal-fired material inlet valve, Boiler Steam admission valve, and
Electrical power generation steam flow valve controls the generated output of pure condensed steam formula fired power generating unit；Air Conditioner Remote switchs the side by infrared remote control
Formula changes the working condition of air-conditioning.
By adopting the above-described technical solution, the present invention has the advantage that：User terminal air conditioner load can be acquired
Otherness demand, and combine power grid power load data, realize the relatively accurate prediction of future load, improve peak load regulation network energy
Power so that wind power utilization further increases.
Other advantages, target and the feature of the present invention will be illustrated in the following description to a certain extent, and
And to a certain extent, based on will be apparent to those skilled in the art to investigating hereafter, Huo Zheke
To be instructed from the practice of the present invention.The target and other advantages of the present invention can be wanted by following specification and right
Book is sought to realize and obtain.
Description of the drawings
The description of the drawings of the present invention is as follows：
Fig. 1 is the structural schematic diagram of the peak load regulation network control system based on power grid power load data.
Fig. 2 is the structural schematic diagram of pure condensed steam formula fired power generating unit control device.
Fig. 3 is the flow diagram of the peak load regulation network control method based on power grid power load data.
In figure：Smart mobile phone 500；
Air-conditioning 410；Air Conditioner Remote switch 420；
Temperature sensor 430,440；Air-conditioning monitoring analyzer 400；
Ammeter 450 for acquiring air conditioner refrigerating/heating energy consumption；Acquire the ammeter 460 of non-air conditioning energy consumption；
Pure condensed steam formula fired power generating unit A；Thermoelectricity data collector 100, pure condensed steam formula fired power generating unit control device 110, wind-force
Electricity generation system B, wind-powered electricity generation data collector 200, integrated dispatch control device 300；
Power cable net 470；Power optical fiber 310；Cloud computing server 320；
Signal stores decoding unit 1101；Drive circuit unit 1102；Gear assembly 1103.
Specific implementation mode
The invention will be further described with reference to the accompanying drawings and examples.
Embodiment：As shown in Figure 1；A kind of peak load regulation network control system based on power grid power load data, it includes：
II two large divisions of user behavior otherness monitoring analysis system I and comprehensive regulation system.
In the present embodiment, the user behavior otherness monitoring analysis system I includes：Smart mobile phone 500, air-conditioning 410,
Air-conditioning monitoring analyzer 400, temperature sensor 430/440, ammeter 450/460；The comprehensive regulation system II includes pure condensed steam
Formula fired power generating unit A, thermoelectricity data collector 100, pure condensed steam formula fired power generating unit control device 110, wind generator system B, wind-powered electricity generation
Data collector 200, integrated dispatch control device 300, cloud computing server 320, Air Conditioner Remote switch 420.
In the present embodiment, the wind generator system B is used for output electric power, and wind-powered electricity generation data collector 200 is for acquiring
Wind power generation output information, and it is sent to integrated dispatch control device 300.
In the present embodiment, the pure condensed steam formula fired power generating unit A is used for output electric power, and thermoelectricity data collector 100 is used for
The generated output information of pure condensed steam formula fired power generating unit A is acquired, and is sent to integrated dispatch control device 300.
In the present embodiment, air-conditioning monitoring analyzer 400 acquires user indoor and outdoor temperature by temperature sensor 430,440
Degrees of data acquires the power information and non-empty adjusting power information of 410 heatings of user's air-conditioning/refrigeration by ammeter 450,460, concurrently
Give integrated dispatch control device 300.
In the present embodiment, integrated dispatch control device 300 is connect by power optical fiber 310 with cloud computing server 320,
Production capacity information and user behavior information for will receive are sent to cloud computing server 320, and obtain cloud computing server
320 calculated adjustment signals are sent respectively to pure condensed steam formula fire then via power cable 470 or the mode of wireless transmission
Electric machine set control device 110 and Air Conditioner Remote switch 420.Integrated dispatch control device 300 also sends user to smart mobile phone 500
It participates in dispatching obtained economic compensation information and Spot Price.
In the present embodiment, Air Conditioner Remote switch 420 is after receiving adjustment signal, to sky by way of infrared remote control
410 working condition is adjusted to be regulated and controled.
As shown in Fig. 2, in the present embodiment, it includes signal storage solution that pure condensed steam formula fired power generating unit, which controls executive device 110,
Code unit 1101, drive circuit unit 1102 and gear assembly 1103, the signal storage decoding unit 1101 are exchanged
Control signal is stored and is decoded, and regulation and control instruction is regenerated, and is sent to drive circuit unit 1102, and then drive loading drive gear
1103 are set, coal-fired material inlet valve, Boiler Steam admission valve and the action of electrical power generation steam flow valve are controlled.
As shown in figure 3, a kind of peak load regulation network control method based on power grid power load data, it includes：
1) the thermoelectricity data collector 100 described in acquires the generated output information of pure condensed steam formula fired power generating unit A, and is sent to
Integrated dispatch control device 300；
The wind-powered electricity generation data collector 200 acquires the generated output information of wind generator system B, and is sent to comprehensive tune
Spend control device 300；
2) air-conditioning monitoring analyzer 400 acquires user terminal information, and is sent to integrated dispatch control device 300；
3) production capacity information and user terminal information are sent to cloud computing server 320 by integrated dispatch control device 300, with
History power load data are compared, by accordingly calculating generation adjustment signal；
4) integrated dispatch control device 300 sends adjustment signal to pure condensed steam formula fired power generating unit control device 110 and air-conditioning
Remote control switch 420；
5) pure condensed steam formula fired power generating unit control device 110 is by controlling coal-fired material inlet valve, Boiler Steam admission valve, with
And electrical power generation steam flow valve controls the generated output of pure condensed steam formula fired power generating unit A；Air Conditioner Remote switch 420 passes through infrared distant
The mode of control changes the working condition of air-conditioning.
Finally illustrate, the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although with reference to compared with
Good embodiment describes the invention in detail, it will be understood by those of ordinary skill in the art that, it can be to the skill of the present invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of the technical program, should all be covered in the present invention
Right in.
Claims (7)
1. a kind of peak load regulation network control system based on power grid power load data, which is characterized in that the system comprises useful
Family behavioral difference monitoring analysis system and comprehensive regulation system；Wherein, user behavior otherness monitoring analysis system includes：
Smart mobile phone (500), air-conditioning (410), air-conditioning monitoring analyzer (400), temperature sensor (430,440), ammeter (450,
460)；
Comprehensive regulation system includes：
Pure condensed steam formula fired power generating unit (A), thermoelectricity data collector (100), pure condensed steam formula fired power generating unit control device (110), wind
Force generating system (B), wind-powered electricity generation data collector (200), integrated dispatch control device (300), cloud computing server (320), sky
Adjust remote control switch (420).
2. the peak load regulation network control system as described in claim 1 based on power grid power load data, which is characterized in that described
User's otherness monitoring analysis system further includes having：
The air-conditioning (410) of user by power cable (470) and pure condensed steam formula fired power generating unit (A) and wind generator system (B) simultaneously
Connection；
Temperature sensor (430) is for acquiring user indoor temperature；Temperature sensor (440) is for acquiring user's outdoor temperature；
Ammeter (450,460) is for acquiring user terminal air-conditioning (410) heating or energy consumption for cooling and non-air conditioning energy consumption；
Smart mobile phone (500) helps user to carry out information exchange with power grid for acquiring user information；
Air-conditioning monitoring analyzer (400) is used to record the indoor and outdoor temperature information of user terminal, the power consumption of acquisition air-conditioning (410)
Power, the working condition for monitoring air-conditioning, and the data after calculating are sent to integrated dispatch control device (300).
3. the peak load regulation network control system as claimed in claim 2 based on power grid power load data, which is characterized in that intelligence
Mobile phone (500) can provide a user multiple personal service, including air-conditioning (410) execution heating action or refrigeration is selected to act,
The acceptable heating of setting or refrigeration temperature levels choose whether to participate in dispatching of power netwoks, and check Spot Price and user itself
Income；
User can also make subjectivity according to the sense organ comfort level of oneself, in the form of scoring to each scheduling behavior of power grid
Evaluation；
Smart mobile phone (500) joins each user based on consumer psychology according to the user behavior data above with otherness
It is calculated with the probability of scheduling.
4. the peak load regulation network control system as claimed in claim 2 based on power grid power load data, which is characterized in that described
Air-conditioning monitoring analyzer (400) pass through temperature sensor (430,440) and acquire the indoor and outdoor temperature data of user, establish empty
It adjusts after open state switches to closed state, the mathematical model that indoor temperature changes over time；
Based on the mathematical model when turning off of air-conditioning is calculated according to acceptable heating set by user or refrigeration temperature levels
Length ensures air-conditioning after stopping heating or refrigeration work, and user indoor temperature, which remains unchanged, is in the temperature range of user's setting themselves
Within.
5. the peak load regulation network control system as described in claim 1 based on power grid power load data, which is characterized in that described
Comprehensive regulation system includes：
Integrated dispatch control device (300) is connect by power optical fiber (310) with cloud computing server (320), for that will receive
To production capacity information and user behavior information be sent to cloud computing server (320), and obtain cloud computing server (320) calculating
The adjustment signal gone out.
6. the peak load regulation network control system as described in claim 1 based on power grid power load data, which is characterized in that described
Comprehensive regulation system will call family otherness monitoring analysis system to acquire and the data and power grid power load data handled carry out
Comparison, preferentially chooses control strategy, according to cloud computing server (320) calculated adjustment signal, to the air-conditioning of each user
Differentiation control is carried out, while the generated output of pure condensed steam formula fired power generating unit (A) is also controlled, is ensureing that meeting electric power supplies
Under conditions of giving, the generated output of pure condensed steam formula fired power generating unit (A) is reduced, this part of reduction is compensated by wind-powered electricity generation, most
Wind electricity digestion is set to maximize eventually.
7. a kind of peak load regulation network controlling party based on power grid power load data as described in claim 1-6 any claims
Method, which is characterized in that regulation and control method includes the following steps：
1) the generated output information of thermoelectricity data collector (100) the acquisition pure condensed steam formula fired power generating unit (A) described in, and be sent to
Integrated dispatch control device (300)；
The generated output information of wind-powered electricity generation data collector (200) the acquisition wind generator system (B), and it is sent to comprehensive tune
Spend control device (300)；
2) air-conditioning monitoring analyzer (400) acquires user terminal information, and is sent to integrated dispatch control device (300)；
3) production capacity information and user terminal information are sent to cloud computing server (320) by integrated dispatch control device (300), with
History power load data are compared, by accordingly calculating generation adjustment signal；
4) integrated dispatch control device (300) sends adjustment signal to pure condensed steam formula fired power generating unit control device (110) and air-conditioning
Remote control switch (420)；
5) pure condensed steam formula fired power generating unit control device (110) is by controlling coal-fired material inlet valve, Boiler Steam admission valve, and
Electrical power generation steam flow valve controls the generated output of pure condensed steam formula fired power generating unit (A)；Air Conditioner Remote switchs (420) by infrared
The mode of remote control changes the working condition of air-conditioning.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109256802A (en) * | 2018-10-08 | 2019-01-22 | 南京千智电气科技有限公司 | A kind of peak regulation method for controlling power supply and device |
| CN112467723A (en) * | 2019-11-20 | 2021-03-09 | 乐清市泰博恒电子科技有限公司 | Power network processing method based on big data and database |
| CN112598201A (en) * | 2021-03-01 | 2021-04-02 | 湖北鑫英泰系统技术股份有限公司 | Power grid load estimation method and device based on distributed optical fiber temperature measurement |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08186931A (en) * | 1994-12-31 | 1996-07-16 | Tokyo Gas Co Ltd | Co-generation system |
| CN101865514A (en) * | 2010-06-29 | 2010-10-20 | 朱永强 | Energy-saving remote controller of air conditioner |
| CN102510103A (en) * | 2011-10-23 | 2012-06-20 | 重庆市电力公司电力科学研究院 | Back-pressure type cogeneration and pure condensing steam thermal power combined dispatching system and dispatching method thereof |
| CN102510100A (en) * | 2011-10-23 | 2012-06-20 | 西安交通大学 | Heat and electricity joint scheduling system with water source heat pump and pure condensed steam thermal power unit and scheduling method thereof |
| CN102506477A (en) * | 2011-10-23 | 2012-06-20 | 西安交通大学 | Heat and power cogeneration unit and wind power generation combined refrigeration system and scheduling method thereof |
| CN102520674A (en) * | 2011-10-23 | 2012-06-27 | 西安交通大学 | Refrigeration scheduling system and method by adopting back-pressure type cogeneration unit and wind-power output |
| CN203964185U (en) * | 2014-07-21 | 2014-11-26 | 深圳市沃森空调技术有限公司 | The multi-connected air conditioner device that hybrid power system drives |
| CN104901307A (en) * | 2015-06-11 | 2015-09-09 | 国家电网公司 | Multi-network-combined home microgrid electric-energy consumption interactive management system and method thereof |
| CN105119359A (en) * | 2015-09-15 | 2015-12-02 | 无锡市翱宇特新科技发展有限公司 | Wind energy commercial power environment-friendly air-conditioning unit |
| CN105135623A (en) * | 2015-09-17 | 2015-12-09 | 国网天津市电力公司 | Central air-conditioner deloading control method capable of meeting power grid peak shaving and user comfort level |
| CN107449100A (en) * | 2017-06-22 | 2017-12-08 | 国网江苏省电力公司南京供电公司 | Central air-conditioning flexibility peak regulation long-range control method based on distributed structure/architecture |
-
2018
- 2018-02-26 CN CN201810159415.1A patent/CN108321803B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08186931A (en) * | 1994-12-31 | 1996-07-16 | Tokyo Gas Co Ltd | Co-generation system |
| CN101865514A (en) * | 2010-06-29 | 2010-10-20 | 朱永强 | Energy-saving remote controller of air conditioner |
| CN102510103A (en) * | 2011-10-23 | 2012-06-20 | 重庆市电力公司电力科学研究院 | Back-pressure type cogeneration and pure condensing steam thermal power combined dispatching system and dispatching method thereof |
| CN102510100A (en) * | 2011-10-23 | 2012-06-20 | 西安交通大学 | Heat and electricity joint scheduling system with water source heat pump and pure condensed steam thermal power unit and scheduling method thereof |
| CN102506477A (en) * | 2011-10-23 | 2012-06-20 | 西安交通大学 | Heat and power cogeneration unit and wind power generation combined refrigeration system and scheduling method thereof |
| CN102520674A (en) * | 2011-10-23 | 2012-06-27 | 西安交通大学 | Refrigeration scheduling system and method by adopting back-pressure type cogeneration unit and wind-power output |
| CN203964185U (en) * | 2014-07-21 | 2014-11-26 | 深圳市沃森空调技术有限公司 | The multi-connected air conditioner device that hybrid power system drives |
| CN104901307A (en) * | 2015-06-11 | 2015-09-09 | 国家电网公司 | Multi-network-combined home microgrid electric-energy consumption interactive management system and method thereof |
| CN105119359A (en) * | 2015-09-15 | 2015-12-02 | 无锡市翱宇特新科技发展有限公司 | Wind energy commercial power environment-friendly air-conditioning unit |
| CN105135623A (en) * | 2015-09-17 | 2015-12-09 | 国网天津市电力公司 | Central air-conditioner deloading control method capable of meeting power grid peak shaving and user comfort level |
| CN107449100A (en) * | 2017-06-22 | 2017-12-08 | 国网江苏省电力公司南京供电公司 | Central air-conditioning flexibility peak regulation long-range control method based on distributed structure/architecture |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109256802A (en) * | 2018-10-08 | 2019-01-22 | 南京千智电气科技有限公司 | A kind of peak regulation method for controlling power supply and device |
| CN112467723A (en) * | 2019-11-20 | 2021-03-09 | 乐清市泰博恒电子科技有限公司 | Power network processing method based on big data and database |
| CN112598201A (en) * | 2021-03-01 | 2021-04-02 | 湖北鑫英泰系统技术股份有限公司 | Power grid load estimation method and device based on distributed optical fiber temperature measurement |
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