CN105589330B - The part throttle characteristics modeling method and system of controllable device - Google Patents
The part throttle characteristics modeling method and system of controllable device Download PDFInfo
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Abstract
The present invention relates to the part throttle characteristics modeling method and system of a kind of controllable device, wherein method includes the following steps：The power information of controllable device is acquired, and load curve is generated according to the power information；The load curve is optimized according to time-optimized step-length, obtains the optimization load curve of the controllable device；The optimization load curve is divided, the one-dimensional working condition vector of the controllable device is obtained, each element in the one-dimensional working condition vector corresponds to the working condition of the controllable device in each time-optimized step-length；The part throttle characteristics model of the controllable device is obtained according to the one-dimensional working condition vector.The part throttle characteristics modeling method and system of above-mentioned controllable device will not only make existing model simplification, and the specific form of controllable device can be not limited to, therefore not only more comprehensive to the description of controllable device, accurate, and autgmentability is strong, can adapt to that the following residential households controllable device quantity is big, the feature more than type.
Description
Technical field
The present invention relates to smart home fields, a kind of part throttle characteristics modeling method more particularly to controllable device and are
System.
Background technology
With the intelligence of residential households power inside equipment and the development of the communication technology, residential households power inside is set
Standby controllability and intelligence greatly increases, however since the type of residential households electrical equipment is more, existing electrical equipment
Load classification modeling in terms of even in place of Shortcomings, be mainly manifested in the load for lacking more perfect household electricity equipment
Characteristics modeling method, leads to that the model of household electricity equipment is more single, classification is relatively simple, and only considers in most cases single
One thermodynamics load.For household electricity equipment, although relatively simple model can be more directed in control algolithm
Property, but can not effectively in analog family practical electricity consumption situation, and model is too simple and idealization and the confusion of classification
The practicability and expansion of algorithm but will further be influenced.
Invention content
Based on this, it is necessary to for electrical equipment load classification model it is too simple, can not effectively analog subscriber reality
The problem of border electricity consumption, provides a kind of the part throttle characteristics modeling method and system of controllable device, by the foundation of part throttle characteristics model,
Realize the description to different controllable devices.
To achieve the above object, the present invention takes the following technical solution：
A kind of part throttle characteristics modeling method of controllable device, the described method comprises the following steps：
The power information of controllable device is acquired, and load curve is generated according to the power information；
The load curve is optimized according to time-optimized step-length, the optimization load for obtaining the controllable device is bent
Line；
The optimization load curve is divided, the one-dimensional working condition for obtaining the controllable device is vectorial, and described one
Tie up the working condition that each element in working condition vector corresponds to the controllable device in each time-optimized step-length；
The part throttle characteristics model of the controllable device is obtained according to the one-dimensional working condition vector.
Meanwhile the present invention also proposes a kind of part throttle characteristics modeling of controllable device, the system comprises：
Harvester, the power information for acquiring controllable device, and load curve is generated according to the power information；
Optimization device obtains the controllable device for being optimized to the load curve according to time-optimized step-length
Optimization load curve；
It divides device and obtains the one-dimensional work shape of the controllable device for being divided to the optimization load curve
State is vectorial, and each element in the one-dimensional working condition vector corresponds to the work shape of the controllable device in each period
State；
Model building device, for obtaining the part throttle characteristics model of the controllable device according to the one-dimensional working condition vector.
The part throttle characteristics modeling method and system of above-mentioned controllable device, by acquiring the power information of controllable device, according to
Power information generates load curve, and after optimizing, dividing to load curve, and it is vectorial to obtain corresponding one-dimensional working condition,
It can be obtained the part throttle characteristics model of controllable device according to corresponding one-dimensional working condition vector.Proposed by the invention controllably sets
Standby part throttle characteristics modeling method and system will not only make existing model simplification, but also can be not limited to the tool of controllable device
Volume morphing, thus it is not only more comprehensive to the description of controllable device, accurate, and also autgmentability is strong, can adapt to the following electricity consumption and sets
Feature big for quantity, more than type.
Description of the drawings
Fig. 1 is the flow diagram of the part throttle characteristics modeling method of controllable device in one embodiment of the invention；
Fig. 2 is controllable device AnOptimization load chart；
Fig. 3 is the structural schematic diagram of the part throttle characteristics modeling of controllable device in one embodiment of the invention.
Specific implementation mode
Technical scheme of the present invention is described in detail below in conjunction with attached drawing and preferred embodiment.
It is shown in Figure 1 in one of the embodiments, a kind of part throttle characteristics modeling method of controllable device, the side
Method includes the following steps：
S100 acquires the power information of controllable device, and generates load curve according to the power information；
S110 optimizes the load curve according to time-optimized step-length, obtains the optimization load of the controllable device
Curve；
S120 divides the optimization load curve, obtains the one-dimensional working condition vector of the controllable device, institute
State the working condition that each element in working condition vector corresponds to the controllable device in each time-optimized step-length；
S130 obtains the part throttle characteristics model of the controllable device according to the one-dimensional working condition vector.
In the present embodiment, controllable device include it is that subscriber household uses, can be by demand response (Demand
Reponse, DR) electrical equipment that is controlled of program, such as intelligent electric rice cooker, intelligent washing machine, Intelligent clothes dryer, intelligent hot water
Pot and intelligent water heater etc., since the DR equipment of DR programs control has the characteristics that be swift in response, cost is small and environmentally friendly,
Received and used by numerous residential households, as a kind of specific embodiment, controllable device is access home area network
Electrical equipment, wherein home area network is a kind of intelligent control and the communication technology, home area network include wide area network and
There is equipment control function, wide area network to be then responsible for the transmission etc. of each LAN of connection and data for LAN two parts, LAN,
The intelligent control function of home area network allows users to control the controllable device of user by the DR programs of setting, packet
Include television set, computer, air-conditioning, water heater etc..Specifically, the power information of controllable device is acquired, and according to collected power
Information generates load curve can obtain controllable device automatically as a kind of specific embodiment by home area network
Power information, the efficiency and real-time that the part throttle characteristics to improve controllable device models.
Under normal circumstances, the load curve for the controllable device that user uses is a continuous curve, in the present embodiment,
In order to simplify device model and reduce the difficulty of algorithm optimization, during the load curve to controllable device optimizes,
Reasonable time is selected to optimize step delta t, and will be negative in each time-optimized step delta t in load curve time interval
Lotus curve is equivalent to become a horizontal line segment, that is, thinks that controllable device is invariable power in each time-optimized step delta t
Operation, therefore, a continuous load curve can be reduced to the broken line of a segmentation, and every section is flat with time coordinate axis
Row, obtains the optimization load curve of controllable device, which optimizes step delta t and change at any time, and the time is excellent
Change step delta t is shorter, and the optimization load curve obtained is closer to true load curve；
After obtaining optimization load curve, optimization load curve is divided, the one-dimensional working condition of controllable device is obtained
Vector, below with controllable device A shown in Fig. 2nOptimization load chart for illustrate, controllable device AnComplete work
Task needs the electricity consumption time of I time-optimized step delta t, from figure 2 it can be seen that it is 15 to select time-optimized step delta t
Minute, i.e., Δ t=1/4 hours, therefore it is found that controllable device A after being divided to load curvenThe complete work of operation one
Cycle needs 45 minutes 1 hour, amounts to the time of 7 time-optimized step delta t, i.e. I=7.Therefore in time-optimized step
In the case that long Δ t is certain, controllable device AnOne-dimensional working condition vector SnIt can be indicated with following formula
Wherein one-dimensional working condition vector SnElement(1≤i≤I) is a binary number (0 or 1), is used for table
Show the controllable device A in each time-optimized step delta tnOn off state.
After the one-dimensional working condition vector for obtaining controllable device, the part throttle characteristics of different controllable devices is built
Mould, obtains the part throttle characteristics model of controllable device, including transferable characteristic model, can break feature model, time-constrain characteristic
Characteristic model and index continuation property model can be switched in model, pattern.The part throttle characteristics modeling method of above-mentioned controllable device passes through
The power information for acquiring controllable device generates load curve according to power information, and after optimizing, dividing to load curve,
Corresponding one-dimensional working condition vector is obtained, the load that controllable device is can be obtained according to corresponding one-dimensional working condition vector is special
Property model.The part throttle characteristics modeling method of controllable device proposed by the invention will not only make existing model simplification, Er Qieke
To be not limited to the specific form of controllable device, thus it is not only more comprehensive to the description of controllable device, accurate, and autgmentability
By force, it can adapt to that the following residential households controllable device quantity is big, the feature more than type.
As a kind of specific embodiment, the part throttle characteristics model of controllable device is obtained according to one-dimensional working condition vector
Process include：One-dimensional working condition vector is parsed, the corresponding basic model of one-dimensional working condition vector is obtained；According to
Basic model determines the part throttle characteristics model of controllable device.In the present embodiment, controllable device A is obtainednOne-dimensional work shape
After state vector, one-dimensional working condition vector is parsed, by controllable device AnLoad curve in this I period it is negative
Lotus curve is considered as to be formed by stacking by the load curve of I independent virtual units, this is indicated with vectorial I=[1,2 .., i ... I]
I independent virtual units, each virtual unit only work time of a time-optimized step delta t, each virtual unit
Operating status can use the operating status vector X of following formulaiIt indicates
Wherein operating status vector XiElement(1≤j≤T) is a binary number (0 or 1), and wherein i is indicated
The number of virtual unit, t indicate the number of time-optimized step delta t,On off state for indicating each virtual unit.
Operating status vector XiIn elementIt is 1, indicates that i-th of virtual unit is open state within t-th of period, otherwise be
0 indicates off state.So far, the basic mould of controllable device can be built with a series of vectors either two-dimensional matrix
Type.
View of the above, it will be seen that a series of this vector needs to meet following constraints：First, each is empty
The time of the standby Δ t that only works is proposed, i.e., can only be 1 there are one element in the operating status vector of each virtual unit, i.e.,
Element in operating status vector need to meet following formula：
Secondly as describe the workflow of an equipment, thus the job order of virtual unit be it is fixed, often
It can only work there are one virtual unit in a time-optimized step delta t, and the latter virtual unit has to previous
Virtual unit work could start to work after terminating, for two virtual units If i1＜ i2,
Then t1＜ t2, i.e.,
The part throttle characteristics model of controllable device, including transferable characteristic model, time-constrain spy are determined according to basic model
Property model, can break feature model, pattern characteristic model and index continuation property model can be switched.Below to this five kinds of load spies
Property model illustrates respectively：
(1) transferable characteristic model
For certain controllable devices, it can shift to an earlier date on the basis of original work plan under the control of DR programs
Or postpone the time started to work, such as washing machine should work after user's supper in the original plan, but due to user demand, DR
The period that program can be advanceed to afternoon completes the work done washing, therefore this row load has transferable characteristic.For
Transferable controllable device An, it is t at the beginning of being set by the user ideal operationideal, the time that maximum is transferred is Δ tm,
Then AnMeet
|t-tideal|≤Δtm (5)
It (2) can break feature model
The course of work of certain controllable devices can interrupt a period of time, then proceed to work, this kind of controllable device has
Can break feature, part throttle characteristics model be known as can break feature model.For with can break feature controllable device (as electricity
Electrical automobile, water heater, dryer etc.), the time of outage uses toffIt indicates, turn-off number of times noffWith indicating, according to controllably setting
The subjective desire of standby feature and user can preset maximum turn-off time Δ toff maxAnd permit in a course of work
Perhaps maximum turn-off number of times noff max, i.e.,
toff≤toff max (6)
noff≤noff max
If controllable device AnAlso to working time Constrained, then：
toff≤te-ts-I (7)
Corresponding such as washing machine controllable device cannot interrupt once work, otherwise can not normally complete work
Make, for this kind of controllable device that cannot interrupt working cycles, it is only necessary to by toffWith noffTwo parameters are set to zero.
(3) time-constrain characteristic model
The controllable device respectively to work need to be completed within the specific time for some, by right in advance in DR control terminals
The time parameter of these controllable devices is set, and this kind of working time, upper constrained equipment was known as having time-constrain characteristic
Controllable device, part throttle characteristics model is known as time-constrain characteristic model.Use tsIndicate controllable device AnIt can start work earliest
The time of work, use teIndicate controllable device AnThe time of task is completed at the latest.I.e.：
Controllable device with time-constrain characteristic can have tsAnd teThe constraint of two parameters, can also be only therein
Some parameter.Such as electric vehicle, working day will complete charging process before user comes home from work to working in second day, with
Just smoothly trip, therefore the t for electric vehicle in second days=18 (18:00, Δ t=1h), te=8 (second day 8:00, Δ
T=1h)；And for water heater, having a bath before user's sleep at night needs to use hot water, as long as the temperature of hot water exists in water heater
User reaches the temperature of requirement before having a bath, when begin to warm up as water heater, controlled by DR programs, uses
Family will not be manually set, therefore there was only t for this kind of controllable device of water heatereOne parameter, without ts。
(4) characteristic model can be switched in pattern
There are controllable device various modes to be selected for user, the intelligence switching for the power gear that different mode is brought.Such as washing machine
There are many model selections when washing unlike material, weight clothes；Water heater also has different power modes when heating；Air purifier
Also the operational mode for different air qualities is had.Assuming that controllable device AnIncluding Kn kind operational modes, with vectorial kn=1 ...,
kn,…,KnDescription, for the controllable device, defining its corresponding energy expenditure isI.e.Indicate device AnIn kthnThe energy expenditure run under kind pattern.
(5) index continuation property model
Controllable device with load continuation property refers to other than the working time also with other measurement working effects
Index, such as water heater to water heat, the temperature of water is exactly to weigh the index of water heater working effect；Air-conditioning adjusts indoor
Temperature, room temperature are exactly to weigh the index of air-conditioning work effect；Air purifier purifies indoor air, Interior Space makings
Amount is exactly to weigh the index of air purifier working effect.
The characteristics of this kind of controllable device is that various indexs are consecutive variations, and the working effect of a upper period can be to lower a period of time
The work of section has an impact.By taking water heater as an example, it is assumed that the requirement temperature of hot water is θ in water heater0, since temperature is not constant
Constant precise physical amount can be that the temperature of hot water sets bound, above limit the use of θmaxIndicate, under limit the use of θminIt indicates, i.e. θmin≤
θ0≤θmax.In water heater the temperature of hot water when water heater working water temperature rise, using hot water (cold water inflow) or
Temperature can reduce in the case of natural cooling, and part throttle characteristics model can be used shown in formula (9) expression：
Wherein, θtIndicate the temperature in the t times；dtIndicate the thermal energy usage amount in the t periods；It indicates in the t periods
Environment temperature or flow into Temperature of Working；R and C indicates the thermal resistance and thermal capacitance of controllable device respectively；V and Q indicates controllable respectively
The volume of working medium and the total capacity of controllable device in equipment.
As a kind of specific embodiment, load curve is the load curve of controllable device in preset time section.By
It is more in the controllable device type that subscriber household uses, and the usage time of different controllable devices is different, such as water heater is more
For morning and certain evening hours, and electric vehicle is then chiefly used in day time, therefore for different controllable devices, bears
Time interval where lotus curve is different, therefore, need to be to preset time section when carrying out modeling Simulation to a certain controllable device
Interior load curve is analyzed, is simulated, therefore in the present embodiment, and the load curve for modeling is preset time section
The load curve of interior controllable device sets preset time section when simulating according to the working time of controllable device point, for
Except preset time section, since controllable device does not work, the load of controllable device can not be acquired, to save acquisition
The cost of controllable device load, while improving the modeling efficiency of controllable device part throttle characteristics.
As a kind of specific embodiment, time-optimized step is determined according to the precision of the power information of acquisition controllable device
It is long.In the present embodiment, time-optimized step-length is obtained according to the precision of the power information of acquisition controllable device, controllably
The acquisition of the power information of equipment is by be mainly monitored controllable device by acquisition terminal and periodically acquire its power
It obtains, and generates the load curve of controllable device according to collected power information, therefore in the power of acquisition controllable device
During information, the sampling precision of acquisition terminal is affected for the accuracy of the load curve of controllable device, Er Qieqi
Precision also determines the used time-optimized step-length when being optimized to load curve, the time if sampling precision is relatively low
It is larger to optimize step-length, the optimization to the load curve of controllable device certainly will be caused inaccurate, if instead sampling precision it is higher and
Time-optimized step-length is smaller, wastes sampling resource to a certain extent, and therefore, it is necessary to according to the information for acquiring controllable device
Sampling precision determines suitable time-optimized step-length, while ensureing optimum results to realize, improves efficiency, reduces cost.
As a kind of specific embodiment, controllable device is to access the electrical equipment of home area network, including intelligence
Electric cooker, intelligent washing machine, Intelligent clothes dryer, intelligent hot kettle and intelligent water heater.Controllable device includes that subscriber household uses
, the electrical equipment that can be controlled by demand response (Demand Reponse, DR) program, such as intelligent electric rice cooker, intelligence
Energy washing machine, Intelligent clothes dryer, intelligent hot kettle and intelligent water heater etc., in the present embodiment, controllable device are access man
The electrical equipment of front yard Local Area Network, therefore when acquiring the power information or other job informations of controllable device, can pass through
Home area network is acquired and data transmission, improves the efficiency of information collection.
Meanwhile the invention also provides a kind of part throttle characteristics modeling of controllable device, shown in Figure 3, the systems
System includes：
Harvester 300, the power information for acquiring controllable device, and load song is generated according to the power information
Line；
Optimize device 310, for being optimized to the load curve according to time-optimized step-length, acquisition is described controllably to be set
Standby optimization load curve；
It divides device 320 and obtains the one-dimensional work of the controllable device for being divided to the optimization load curve
State vector, each element in the one-dimensional working condition vector correspond to the work of the controllable device in each period
State；
Model building device 330, for obtaining the part throttle characteristics mould of the controllable device according to the one-dimensional working condition vector
Type.
In the present embodiment, controllable device, which refers to, to be controlled by demand response (Demand Reponse, DR) program
The equipment of system, such as intelligent electric rice cooker, intelligent washing machine, Intelligent clothes dryer, intelligent hot kettle and intelligent water heater, due to DR journeys
The DR equipment of sequence control has the characteristics that be swift in response, cost is small and environmentally friendly, therefore is received and made by numerous residential households
With as a kind of specific embodiment, controllable device is the electrical equipment for accessing home area network, wherein home area network
Network is a kind of intelligent control and the communication technology, and home area network includes wide area network and LAN two parts, and LAN, which has, to be set
Standby control function, wide area network are then responsible for the transmission etc. of each LAN of connection and data, the intelligent control work(of home area network
It can allow users to control the controllable device of user, including television set, computer, air-conditioning, hot water by the DR programs of setting
Device etc..Specifically, the power information of controllable device is acquired, and load curve is generated according to collected power information, as one
Kind specific embodiment, can obtain the power information of controllable device automatically by home area network, controllably be set to improve
The efficiency and real-time of standby part throttle characteristics modeling..Specifically, harvester 300, optimization device 310,320 and of division device
Model building device 330 is sequentially connected, and harvester 300 acquires the power information of controllable device, and generates load according to power information
Curve, under normal circumstances, the load curve for the controllable device that user uses is that a continuous curve is in the present embodiment
Simplified device model and the difficulty for reducing algorithm optimization, optimization device 310 are optimized in the load curve to controllable device
During, select reasonable time to optimize step delta t, and by each time-optimized step-length in load curve time interval
Load curve in Δ t is equivalent to become a horizontal line segment, that is, thinks the controllable device in each time-optimized step delta t
It is output-constant operation, therefore, a continuous load curve can be reduced to the broken line of a segmentation, and every section is sat with the time
Parameter is parallel, obtains the optimization load curve of controllable device, which optimizes step delta t and change at any time,
Time-optimized step delta t is shorter, and the optimization load curve obtained is closer to true load curve；
After optimizing the acquisition optimization load curve of device 310, divides device 320 and optimization load curve is divided, obtain
The one-dimensional working condition vector of controllable device, still with controllable device A shown in Fig. 2nOptimization load chart for said
It is bright, controllable device AnThe electricity consumption time that task needs I time-optimized step delta t is completed, from figure 2 it can be seen that excellent
It is 15 minutes, i.e., Δ t=1/4 hours that makeup, which sets 310 and selects time-optimized step delta t, therefore optimizes device 310 to load curve
It is found that controllable device A after being dividednThe complete working cycles of operation one need 45 minutes 1 hour, and it is excellent to amount to 7 times
Change the time of step delta t, i.e. I=7.Therefore in the case where time-optimized step delta t is certain, controllable device AnIt is one-dimensional
Working condition vector SnIt can be indicated with following formula
Wherein one-dimensional working condition vector SnElement(1≤i≤I) is a binary number (0 or 1), is used for table
Show the controllable device A in each time-optimized step delta tnOn off state.
After the one-dimensional working condition vector for obtaining controllable device, load of the model building device 330 to different controllable devices
Characteristic is modeled, and obtains the part throttle characteristics model of controllable device, including transferable characteristic model, can break feature model, when
Between binding feature model, pattern characteristic model and index continuation property model can be switched.The part throttle characteristics of above-mentioned controllable device is built
Modular system generates load curve, and carried out to load curve excellent by the power information of acquisition controllable device according to power information
Change, after division, obtains corresponding one-dimensional working condition vector, can be obtained according to corresponding one-dimensional working condition vector and controllably set
Standby part throttle characteristics model.The part throttle characteristics modeling of controllable device proposed by the invention will not only make existing model letter
Change, and the specific form of controllable device can be not limited to, therefore is not only more comprehensive to the description of controllable device, accurate,
And autgmentability is strong, can adapt to that the following residential households controllable device quantity is big, the feature more than type.
As a kind of specific embodiment, model building device includes parsing module and model determining module, parsing module pair
One-dimensional working condition vector is parsed, and the corresponding basic model of one-dimensional working condition vector is obtained；Model determining module according to
Basic model determines the part throttle characteristics model of controllable device.In the present embodiment, controllable device A is obtainednOne-dimensional work shape
After state vector, the parsing module in model building device parses one-dimensional working condition vector, by controllable device AnLoad it is bent
The load curve of this I period in line is considered as to be formed by stacking by the load curve of I independent virtual units, with vectorial I
=[1,2 .., i ... I] indicates this I independent virtual units, and each virtual unit only works a time-optimized step delta t
Time, the operating status of each virtual unit can use the operating status vector X of following formulaiIt indicates
Wherein operating status vector XiElement(1≤j≤T) is a binary number (0 or 1), and wherein i is indicated
The number of virtual unit, t indicate the number of time-optimized step delta t,On off state for indicating each virtual unit.
Operating status vector XiIn elementIt is 1, indicates that i-th of virtual unit is open state within t-th of period, otherwise be
0 indicates off state.So far, parsing module can build controllable device with a series of vector either two-dimensional matrixes
Basic model.
View of the above, it will be seen that a series of this vector needs to meet following constraints：First, each is empty
The time of the standby Δ t that only works is proposed, i.e., can only be 1 there are one element in the operating status vector of each virtual unit, i.e.,
Element in operating status vector need to meet following formula：
Secondly as describe the workflow of an equipment, thus the job order of virtual unit be it is fixed, often
It can only work there are one virtual unit in a time-optimized step delta t, and the latter virtual unit has to previous
Virtual unit work could start to work after terminating, for two virtual units If i1＜ i2,
Then t1＜ t2, i.e.,
Model determining module determines the part throttle characteristics model of controllable device, including transferable characteristic mould according to basic model
Type, time-constrain characteristic model, can break feature model, pattern characteristic model and index continuation property model can be switched.Below
This five kinds of part throttle characteristics models are illustrated respectively：
(1) transferable characteristic model
For certain controllable devices, it can shift to an earlier date on the basis of original work plan under the control of DR programs
Or postpone the time started to work, such as washing machine should work after user's supper in the original plan, but due to user demand, DR
The period that program can be advanceed to afternoon completes the work done washing, therefore this row load has transferable characteristic.For
Transferable controllable device An, it is t at the beginning of being set by the user ideal operationideal, the time that maximum is transferred is Δ tm,
Then AnMeet
|t-tideal|≤Δtm (5)
It (2) can break feature model
The course of work of certain controllable devices can interrupt a period of time, then proceed to work, this kind of controllable device has
Can break feature, part throttle characteristics model be known as can break feature model.For with can break feature controllable device (as electricity
Electrical automobile, water heater, dryer etc.), the time of outage uses toffIt indicates, turn-off number of times noffWith indicating, according to controllably setting
The subjective desire of standby feature and user can preset maximum turn-off time Δ toff maxAnd permit in a course of work
Perhaps maximum turn-off number of times noff max, i.e.,
toff≤toff max (6)
noff≤noff max
If controllable device AnAlso to working time Constrained, then：
toff≤te-ts-I (7)
Corresponding such as washing machine controllable device cannot interrupt once work, otherwise can not normally complete work
Make, for this kind of controllable device that cannot interrupt working cycles, it is only necessary to by toffWith noffTwo parameters are set to zero.
(3) time-constrain characteristic model
The controllable device respectively to work need to be completed within the specific time for some, by right in advance in DR control terminals
The time parameter of these controllable devices is set, and this kind of working time, upper constrained equipment was known as having time-constrain characteristic
Controllable device, part throttle characteristics model is known as time-constrain characteristic model.Use tsIndicate controllable device AnIt can start work earliest
The time of work, use teIndicate controllable device AnThe time of task is completed at the latest.I.e.：
Controllable device with time-constrain characteristic can have tsAnd teThe constraint of two parameters, can also be only therein
Some parameter.Such as electric vehicle, working day will complete charging process before user comes home from work to working in second day, with
Just smoothly trip, therefore the t for electric vehicle in second days=18 (18:00, Δ t=1h), te=8 (second day 8:00, Δ
T=1h)；And for water heater, having a bath before user's sleep at night needs to use hot water, as long as the temperature of hot water exists in water heater
User reaches the temperature of requirement before having a bath, when begin to warm up as water heater, controlled by DR programs, uses
Family will not be manually set, therefore there was only t for this kind of controllable device of water heatereOne parameter, without ts。
(4) characteristic model can be switched in pattern
There are controllable device various modes to be selected for user, the intelligence switching for the power gear that different mode is brought.Such as laundry
There are many model selections when machine washing unlike material, weight clothes；Water heater also has different power modes when heating；Air purification
Device also has the operational mode for different air qualities.Assuming that controllable device AnIncluding Kn kind operational modes, with vectorial kn=1 ...,
kn,…,KnDescription, for the controllable device, defining its corresponding energy expenditure isI.e.Indicate device AnIn kthnThe energy expenditure run under kind pattern.
(5) index continuation property model
Controllable device with load continuation property refers to other than the working time also with other measurement working effects
Index, such as water heater to water heat, the temperature of water is exactly to weigh the index of water heater working effect；Air-conditioning adjusts indoor
Temperature, room temperature are exactly to weigh the index of air-conditioning work effect；Air purifier purifies indoor air, Interior Space makings
Amount is exactly to weigh the index of air purifier working effect.
The characteristics of this kind of controllable device is that various indexs are consecutive variations, and the working effect of a upper period can be to lower a period of time
The work of section has an impact.By taking water heater as an example, it is assumed that the requirement temperature of hot water is θ in water heater0, since temperature is not constant
Constant precise physical amount can be that the temperature of hot water sets bound, above limit the use of θmaxIndicate, under limit the use of θminIt indicates, i.e. θmin≤
θ0≤θmax.In water heater the temperature of hot water when water heater working water temperature rise, using hot water (cold water inflow) or
Temperature can reduce in the case of natural cooling, and part throttle characteristics model can be used shown in formula (9) expression：
Wherein, θtIndicate the temperature in the t times；dtIndicate the thermal energy usage amount in the t periods；It indicates in the t periods
Environment temperature or flow into Temperature of Working；R and C indicates the thermal resistance and thermal capacitance of controllable device respectively；V and Q indicates controllable respectively
The volume of working medium and the total capacity of controllable device in equipment.
As a kind of specific embodiment, the part throttle characteristics modeling of controllable device further includes being connect with harvester
Section setting device, section setting device controls the load curve that harvester obtains controllable device in preset time section.
Since the controllable device type that user uses is more, and the usage time of different controllable devices is different, such as water heater is multi-purpose
In morning and certain evening hours, and electric vehicle is then chiefly used in day time, therefore for different controllable devices, load
Time interval where curve is different, therefore, need to be in preset time section when carrying out modeling Simulation to a certain controllable device
Load curve analyzed, simulated, therefore in the present embodiment, the load curve for modeling is in preset time section
Controllable device load curve, section setting device according to the working time point of controllable device set simulate when preset time
Section, since controllable device does not work, can control harvester and not acquire and controllably set except preset time section
Standby load to save the cost of acquisition controllable device load, while improving the modeling efficiency of controllable device part throttle characteristics.
As a kind of specific embodiment, optimization device includes step size settings module, and step size settings module is according to acquisition
The precision of the power information of device acquisition controllable device determines time-optimized step-length.In the present embodiment, time-optimized step-length
It is that step size settings module is obtained according to the precision of the power information of harvester acquisition controllable device, is obtained in harvester
It is to be monitored to controllable device by acquisition terminal and periodically acquire its power during the load curve of controllable device
And obtain and meet curve, therefore during harvester acquires the power information of controllable device, the sampling of acquisition terminal
Precision is affected for the accuracy of the load curve of controllable device, and its precision is also determined in optimization device to load
Used time-optimized step-length certainly will be led if the relatively low and time-optimized step-length of sampling precision is larger when curve optimizes
Cause the optimization to the load curve of controllable device inaccurate, if instead the higher and time-optimized step-length of sampling precision is smaller,
Sampling resource is wasted to a certain extent, and therefore, step size settings module needs adopting according to the power information for acquiring controllable device
Sample precision determines suitable time-optimized step-length, while ensureing optimum results to realize, improves efficiency, reduces cost.
As a kind of specific embodiment, harvester is connect by home area network with controllable device.Home Zone
Domain network is a kind of intelligent control technology, and script is in order to which the interaction enhanced between digital device grows up with exchanging
, home area network includes wide area network and LAN two parts, and LAN has equipment control function, and wide area network is then responsible for company
The transmission etc. of each LAN and data is connect, the intelligent control function of home area network allows users to the DR by setting
Program controls controllable device of user, including television set, computer, air-conditioning, water heater etc..Harvester in present embodiment
It is connect with controllable device by home area network, therefore the power letter of controllable device can be obtained automatically by home area network
Breath, the efficiency and real-time that the part throttle characteristics to improve controllable device models.
Each technical characteristic of embodiment described above can be combined arbitrarily, to keep description succinct, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, it is all considered to be the range of this specification record.
Several embodiments of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the protection of the present invention
Range.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (10)
1. a kind of part throttle characteristics modeling method of controllable device, which is characterized in that include the following steps：
The power information of controllable device is acquired, and load curve is generated according to the power information；The controllable device includes using
Electrical equipment that family family uses, being controlled by demand response program；
The load curve is optimized according to time-optimized step-length, obtains the optimization load curve of the controllable device；
The optimization load curve is divided, the one-dimensional working condition vector of the controllable device, the one-dimensional work are obtained
Make the working condition that each element in state vector corresponds to the controllable device in each time-optimized step-length；
The part throttle characteristics model of the controllable device is obtained according to the one-dimensional working condition vector.
2. the part throttle characteristics modeling method of controllable device according to claim 1, which is characterized in that according to the one-dimensional work
The process that the part throttle characteristics model of the controllable device is obtained as state vector includes：
The one-dimensional working condition vector is parsed, the corresponding basic model of the one-dimensional working condition vector is obtained,
The part throttle characteristics model of the controllable device is determined according to the basic model.
3. the part throttle characteristics modeling method of controllable device according to claim 1 or 2, which is characterized in that
The load curve is the load curve of the controllable device in preset time section.
4. the part throttle characteristics modeling method of controllable device according to claim 1 or 2, which is characterized in that
The time-optimized step-length is determined according to the precision for the power information for acquiring the controllable device.
5. the part throttle characteristics modeling method of controllable device according to claim 1 or 2, which is characterized in that
The controllable device is the electrical equipment for accessing home area network.
6. the part throttle characteristics modeling method of controllable device according to claim 5, which is characterized in that
The power information of the controllable device is acquired by home area network.
7. a kind of part throttle characteristics modeling of controllable device, which is characterized in that including：
Harvester, the power information for acquiring controllable device, and load curve is generated according to the power information；
Optimization device obtains the excellent of the controllable device for being optimized to the load curve according to time-optimized step-length
Change load curve；
Divide device, for being divided to the optimization load curve, obtain the one-dimensional working condition of the controllable device to
It measures, each element in the one-dimensional working condition vector corresponds to the working condition of the controllable device in each period；
Model building device, for obtaining the part throttle characteristics model of the controllable device according to the one-dimensional working condition vector.
8. the part throttle characteristics modeling of controllable device according to claim 7, which is characterized in that the model building device packet
Parsing module and model determining module are included,
The parsing module parses the one-dimensional working condition vector, and it is corresponding to obtain the one-dimensional working condition vector
Basic model,
The model determining module determines the part throttle characteristics model of the controllable device according to the basic model.
9. the part throttle characteristics modeling of controllable device according to claim 7 or 8, which is characterized in that the optimization dress
It sets including step size settings module,
The step size settings module is acquired according to the harvester described in the precision determination of the power information of the controllable device
Time-optimized step-length.
10. the part throttle characteristics modeling of controllable device according to claim 7 or 8, which is characterized in that
The harvester is connect by home area network with the controllable device.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102751728A (en) * | 2012-07-26 | 2012-10-24 | 浙江大学 | Energy management method for isolated network running mode in micro network based on load interruption model |
| CN104778631A (en) * | 2015-03-11 | 2015-07-15 | 国家电网公司 | Method for optimizing power utilization modes of residential users with orientation to demand response |
| CN104952001A (en) * | 2015-07-02 | 2015-09-30 | 华侨大学 | Method for performing power optimized scheduling on controllable loads comprising air conditioning loads |
| CN105042800A (en) * | 2015-09-01 | 2015-11-11 | 东南大学 | Variable-frequency air conditioner load modeling and operation controlling method based on demand responses |
-
2015
- 2015-12-25 CN CN201511003864.XA patent/CN105589330B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102751728A (en) * | 2012-07-26 | 2012-10-24 | 浙江大学 | Energy management method for isolated network running mode in micro network based on load interruption model |
| CN104778631A (en) * | 2015-03-11 | 2015-07-15 | 国家电网公司 | Method for optimizing power utilization modes of residential users with orientation to demand response |
| CN104952001A (en) * | 2015-07-02 | 2015-09-30 | 华侨大学 | Method for performing power optimized scheduling on controllable loads comprising air conditioning loads |
| CN105042800A (en) * | 2015-09-01 | 2015-11-11 | 东南大学 | Variable-frequency air conditioner load modeling and operation controlling method based on demand responses |
Non-Patent Citations (3)
| Title |
|---|
| A direct load control model for virtual power plant management;Ruiz N, 等;《IEEE Transactions on Power Systems》;20091231;第24卷(第2期);第959-966页 * |
| Potentials and applications of coordinated groups of thermal household appliances for power system control purposes;Koch S，等;《Sustainable Alternative Energy (SAE), 2009 IEEE PES/IAS Conference on. IEEE》;20091231;第1-8页 * |
| 基于需求响应的负荷特性建模和优化控制方法研究;李威，等;《电气应用》;20151130;第34卷(第21期);第18-23页 * |
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Effective date of registration: 20210804 Address after: 510663 3 building, 3, 4, 5 and J1 building, 11 building, No. 11, Ke Xiang Road, Luogang District Science City, Guangzhou, Guangdong. Patentee after: China Southern Power Grid Research Institute Co.,Ltd. Patentee after: Tianjin University Patentee after: ELECTRIC POWER RESEARCH INSTITUTE, GUANGXI POWER GRID Co.,Ltd. Patentee after: NANNING POWER SUPPLY BUREAU OF GUANGXI POWER GRID Co.,Ltd. Patentee after: CHINA SOUTHERN POWER GRID ELECTRIC POWER DISPATCH CONTROL CENTER Address before: 13-21 / F, West Tower, Yuedian building, No.6 and 8 shuijungang, Dongfeng East Road, Yuexiu District, Guangzhou, Guangdong 510000 Patentee before: CSG POWER GRID TECHNOLOGY RESEARCH CENTER Patentee before: China Southern Power Grid Research Institute Co.,Ltd. Patentee before: Tianjin University Patentee before: ELECTRIC POWER RESEARCH INSTITUTE, GUANGXI POWER GRID Co.,Ltd. Patentee before: NANNING POWER SUPPLY BUREAU OF GUANGXI POWER GRID Co.,Ltd. Patentee before: CHINA SOUTHERN POWER GRID ELECTRIC POWER DISPATCH CONTROL CENTER |
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