CN103700028A - Power consumption control method and device - Google Patents
Power consumption control method and device Download PDFInfo
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- CN103700028A CN103700028A CN201310682201.XA CN201310682201A CN103700028A CN 103700028 A CN103700028 A CN 103700028A CN 201310682201 A CN201310682201 A CN 201310682201A CN 103700028 A CN103700028 A CN 103700028A
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- 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
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Abstract
The invention discloses a power consumption control method and belongs to the technical field of energy saving. The method comprises the following steps of acquiring output power data and environmental index data of generating equipment; acquiring a first power function according to the output power data and the environmental index data; acquiring an environmental index function in a target time frame; acquiring a second power function by combining the first power function and the environmental index function; acquiring power consumption data of power consumption equipment; acquiring power consumption power and power consumption amount of the power consumption equipment in the target time frame; acquiring an electricity price function in the target time frame; acquiring a power consumption scheme in the target time frame by combining the second power function, the power consumption power, the power consumption amount and the electricity price function; controlling the power consumption of the power consumption equipment in the target time frame according to the power consumption scheme. According to the power consumption control method, the running time of the power consumption equipment is adjusted under the condition that the power consumption amount of the power consumption equipment is not changed, and the electric charge of the power consumption equipment in a public network is minimal.
Description
Technical field
The present invention relates to field of energy-saving technology, particularly a kind of power consumption control method and apparatus.
Background technology
Along with the fast development of intelligent grid technology, photovoltaic generating system can be deployed in average family, and to domestic consumer, powers together with public electric wire net.Photovoltaic generating system have generation mode flexibly, with the advantage such as environmental compatible.Because equipment investment cost is high, China usings at present photovoltaic generating system and as power supply, is also only limited to the enterprise customers such as surface power station, utilities building, mining equipment.But along with manufacturing process is ripe gradually, the equipment cost of photovoltaic generating system can reduce gradually, estimate that photovoltaic generating system can be universal at average family gradually within the following several years.
The basic electricity needs of photovoltaic generating system family under meeting, can also carry unnecessary electric weight to public electric wire net.In the different periods, the desirability of the electric weight that public electric wire net is carried photovoltaic generating system is different, for example the work hours are peak periods of business electrical, and now family's not electricity consumption substantially, therefore the time family expenses photovoltaic generating system that is on duty can be carried more electric energy to public electric wire net, and the electric energy of these conveyings can be alleviated the business electrical load pressure of public electric wire net just.Because different period public electric wire nets are different to the desirability of the electric weight of photovoltaic generating system conveying, so grid company will be carried out the adjustment of electricity charges with seasonal change.In this case, family is rational utilization of electricity how, accomplishes that electric cost is minimum, is a problem that is worth research.
Summary of the invention
In order to solve the problem of prior art, the embodiment of the present invention provides a kind of power consumption control method and apparatus.Described technical scheme is as follows:
On the one hand, provide a kind of power consumption control method, described method comprises:
Obtain generating set output power data and corresponding environmental index data;
According to generating set output power P described in described generating set output power data and corresponding environmental index data acquisition
sthe first power function P of relative environmental index W
s=F
1(W);
Obtain the described environmental index W of objective time interval
1the environmental index function W=E (t) of relative time t;
The first power function P in conjunction with described generating set
s=F
1(W) and the environmental index function W=E (t) of described objective time interval obtain described generating set output power P in described objective time interval
sthe second power function P of relative time t
s=F
2(t);
The electricity consumption data of obtaining consumer, described consumer is powered together with public electric wire net by described generating set;
According to electric power and the power consumption of described consumer in objective time interval described in the electricity consumption data acquisition of described consumer;
Obtain the electricity price function V=G (t) of described public electric wire net electricity price V relative time t in described objective time interval;
The second power function P in conjunction with described generating set
s=F
2(t), the electricity price function V=G (t) of the electric power of described consumer and power consumption, described public electric wire net obtains the power program of described consumer in described objective time interval; In described objective time interval, described consumer is minimum according to the constant but corresponding public network electricity charge C of the power consumption of described power program electricity consumption;
In described objective time interval, according to described power program, control described consumer electricity consumption.
On the other hand, provide a kind of power consumption control device, described device comprises:
The first acquisition module, for obtaining generating set output power data and corresponding environmental index data;
The second acquisition module, for generating set output power P described in the generating set output power data obtained according to described the first acquisition module and corresponding environmental index data acquisition
sthe first power function P of relative environmental index W
s=F
1(W);
The 3rd acquisition module, for obtaining the described environmental index W of objective time interval
1the environmental index function W=E (t) of relative time t;
The 4th acquisition module, for the first power function P of the generating set obtained in conjunction with described the second acquisition module
s=F
1(W) and the environmental index function W=E (t) of the objective time interval obtained of described the 3rd acquisition module obtain described generating set output power P in described objective time interval
sthe second power function P of relative time t
s=F
2(t);
The 5th acquisition module, for obtaining the electricity consumption data of consumer, described consumer is powered together with public electric wire net by described generating set;
The 6th acquisition module, for electric power and the power consumption of described consumer in objective time interval described in the electricity consumption data acquisition of the consumer that obtains according to described the 5th acquisition module;
The 7th acquisition module, for obtaining the electricity price function V=G (t) of described public electric wire net electricity price V relative time t in described objective time interval;
The 8th acquisition module, for the second power function P of the generating set obtained in conjunction with described the 4th acquisition module
s=F
2(t) the electricity price function V=G (t) of the public electric wire net that the electric power of the consumer that, described the 6th acquisition module obtains and power consumption, described the 7th acquisition module obtain obtains the power program of described consumer in described objective time interval; In described objective time interval, described consumer is minimum according to the constant but corresponding public network electricity charge C of the power consumption of described power program electricity consumption;
Control module, controls described consumer electricity consumption for the power program obtaining according to described the 8th acquisition module in described objective time interval.
The beneficial effect that the technical scheme that the embodiment of the present invention provides is brought is:
By the second power function P in conjunction with generating set
s=F
2(t), the electricity price function V=G (t) of the electric power of consumer and power consumption, public electric wire net obtains the power program of consumer in objective time interval, because the electricity price of public electric wire net is not different in the same time, therefore can in the situation that described consumer power consumption is constant, adjust the working time of described consumer, make described consumer avoid electricity price peak period as far as possible, in the operation of electricity price low-valley interval, make the public network electricity charge C of described consumer minimum as far as possible.
Further, the electricity price of public electric wire net is also load peak period peak period conventionally, and electricity price low-valley interval is also the load valley period conventionally, therefore by the second power function P in conjunction with generating set
s=F
2(t), the electricity price function V=G (t) of the electric power of consumer and power consumption, public electric wire net obtains the power program of consumer in objective time interval, how described consumer is moved at electricity price low-valley interval (being also the load valley period) as far as possible, avoid electricity price peak period (being also load peak period) as far as possible, can play the effect that reduces public electric wire net load fluctuation, realize the effect to public electric wire net load peak load shifting.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing of required use during embodiment is described is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is a kind of power consumption control method flow diagram that the embodiment of the present invention one provides;
Fig. 2 is the structural representation of a kind of home intelligent electrical network of providing of the embodiment of the present invention two;
Fig. 3 is a kind of power consumption control method flow diagram that the embodiment of the present invention two provides;
Fig. 4 is a kind of power consumption control apparatus structure schematic diagram that the embodiment of the present invention three provides.
Embodiment
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Embodiment mono-
The present embodiment provides a kind of power consumption control method, and referring to Fig. 1, the method flow that the present embodiment provides is specific as follows:
S101, obtains generating set output power data and corresponding environmental index data.
Described generating set refers to the equipment that utilizes natural conditions generating, and for example solar panel utilizes solar power generation, and wind-driven generator utilizes wind-power electricity generation, and power station utilizes the gravitional force generating of water.
Because described generating set is utilized natural conditions generating, so the variation of physical environment can affect the output power of described generating set.Described environmental index refer to the output power of described generating set is played a decisive role environmental factor, the essential environmental factors that for example affects described solar panel output power is sunlight intensity, the essential environmental factors that affects described wind-driven generator output power is wind speed, and the essential environmental factors that affects described power station output power is the flow of water.
Conventionally, obtain generating set output power data and corresponding environmental index data specifically comprise: gather at set intervals once output power and the environmental index of described generating set, continuous acquisition repeatedly simultaneously.The output power of described continuous several times collection is output power data, and the environmental index of described continuous several times collection is environmental index data.
S102, according to generating set output power P described in described generating set output power data and corresponding environmental index data acquisition
sthe first power function P of relative environmental index W
s=F
1(W).
Because the output power of described generating set is mainly determined by described environmental index, therefore can be by the corresponding relation between output power described in the output power data of described generating set and the environmental index data acquisition of correspondence and described environmental index.Described corresponding relation is the first power function.
Due to the generating set output power data of obtaining and corresponding environmental index data normally discrete, therefore can regression analysis obtain described the first power function.
Regression analysis is a kind of common method of Power Systems prediction, its objective is the correlationship of finding between dependent variable (output power) and independent variable (environmental index).According to the relation between independent variable and dependent variable, can be divided into linear regression analysis and nonlinear regression analysis; The number of the independent variable relating to according to regretional analysis, can be divided into simple regression analysis and multiple regression analysis.Regretional analysis ratio juris is utilized known historical data exactly, find out the correlationship between dependent variable and independent variable, set up mathematical model, by least square method, obtain model parameter, then utilize residual error, relative error or absolute error etc. to test to model, when model testing is passed through, can utilize this model to predict power; Otherwise, abandon this model, reselect mathematical model.
For the embodiment of the present invention, described mathematical model is exactly described generating set output power P
sthe first power function P of relative environmental index W
s=F
1(W).
For the embodiment of the present invention, the process of setting up mathematical model is to take environmental index W as independent variable is with output power P in essence
sthe process carrying out curve fitting for dependent variable.After curve success, the curvilinear equation of acquisition is described generating set output power P
sthe first power function P of relative environmental index W
s=F
1(W).
S103, obtains the environmental index function W=E (t) of the described environmental index W relative time t of objective time interval.
Described objective time interval refers to take certain nonevent period also in future that current time is basic point.
Modern science can predict some environmental index, for example, by gathering the weather conditions of weather data predict future a period of time and issuing by weather forecast, by gathering the flow etc. in hydrographic data predict future a period of time river.Along with scientific and technological fast development, following foreseeable environmental index can get more and more.
S104, in conjunction with the first power function P of described generating set
s=F
1(W) and the environmental index function W=E (t) of described objective time interval obtain described generating set output power P in described objective time interval
sthe second power function P of relative time t
s=F
2(t).
The first power function P of described generating set
s=F
1(W) be to take environmental index W as independent variable is with output power P
sfor the function of dependent variable, described environmental index function W=E (t) take time t to take the function that environmental index W is dependent variable, the method for replacing by independent variable, i.e. P as independent variable
s=F
1(W)=F
1(E (t))=F
2(t), can obtain generating set output power P
sthe second power function P of relative time t
s=F
2(t).
S105, obtains the electricity consumption data of consumer, and described consumer is powered together with public electric wire net by described generating set.
Described consumer refers to the equipment that consumes electric energy, and especially, the electric energy of described consumer consumption is provided together with public electric wire net by described generating set.The electric energy that described consumer is used public electric wire net to provide can produce the corresponding public network electricity charge.
Especially, meeting under the prerequisite of the sufficient electricity consumption of described consumer, described generating set can be by unnecessary power delivery to public electric wire net.
The electricity consumption data of described consumer comprise the power consumption of consumer described in the past period and corresponding electric power data.
S106, according to electric power and the power consumption of described consumer in objective time interval described in the electricity consumption data acquisition of described consumer.
By the electricity consumption data of described consumer, can obtain the electric power of described consumer, by described electric power, can predict the power consumption of described consumer in certain period in future.
S107, obtains the electricity price function V=G (t) of described public electric wire net electricity price V relative time t in described objective time interval.
Because described generating set can be by unnecessary power delivery to public electric wire net, thus electric company can according to the load condition of electrical network dynamic adjusting price.
Can obtain by electric company the electricity price function V=G (t) of described public electric wire net electricity price V relative time t in objective time interval.
S108, in conjunction with the second power function P of described generating set
s=F
2(t), the electricity price function V=G (t) of the electric power of described consumer and power consumption, described public electric wire net obtains the power program of described consumer in described objective time interval; In described objective time interval, described consumer is minimum according to the constant but corresponding public network electricity charge C of the power consumption of described power program electricity consumption.
Because the electricity price of public electric wire net is not different in the same time, therefore can in the situation that consumer power consumption is constant, adjust the working time of described consumer, make the public network electricity charge C of described consumer minimum.
S109 controls described consumer electricity consumption according to described power program in described objective time interval.
The power consumption control method that the embodiment of the present invention provides is by the second power function P in conjunction with generating set
s=F
2(t), the electricity price function V=G (t) of the electric power of consumer and power consumption, public electric wire net obtains the power program of consumer in objective time interval, because the electricity price of public electric wire net is not different in the same time, therefore can in the situation that described consumer power consumption is constant, adjust the working time of described consumer, make described consumer avoid electricity price peak period as far as possible, in the operation of electricity price low-valley interval, make the public network electricity charge C of described consumer minimum as far as possible.
Further, the electricity price of public electric wire net is also load peak period peak period conventionally, and electricity price low-valley interval is also the load valley period conventionally, therefore by the second power function P in conjunction with generating set
s=F
2(t), the electricity price function V=G (t) of the electric power of consumer and power consumption, public electric wire net obtains the power program of consumer in objective time interval, how described consumer is moved at electricity price low-valley interval (being also the load valley period) as far as possible, avoid electricity price peak period (being also load peak period) as far as possible, can play the effect that reduces public electric wire net load fluctuation, realize the effect to public electric wire net load peak load shifting.
Embodiment bis-
Fig. 2 shows a kind of structural representation of home intelligent electrical network, can find out that this home intelligent electrical network usings solar panel and power to consumer as generating set.The embodiment of the present invention be take the home intelligent electrical network shown in Fig. 2 and is described power consumption control method provided by the invention as example.
As shown in Figure 3, the power consumption control method that the embodiment of the present invention provides comprises:
S201, at least continues a daytime and gathered the output power of a solar panel and corresponding temperature every B minute, obtains the output power array of described solar panel and corresponding temperature array.
Refer to the daytime of the sun daytime described in the embodiment of the present invention, do not comprise and can't see cloudy day, rainy day, snowy day etc. the daytime of the sun.
Conventionally solar panel diurnally (has the solar time) and outwards exports electric energy, in order to obtain the solar panel output power under different temperature by day, need to continue the output power that gather described solar panel at least one daytime.
Can every B minute, gather the output power of a solar panel and corresponding temperature by the mode of manual record.Obviously, the data of the less collection of B are more, and the accuracy of subsequent treatment is also correspondingly higher.
The present embodiment preferably, can access electric energy meter between described solar panel and power supply buses, by described electric energy meter, can be realized and every 15 minutes, be gathered output power and temperature simultaneously.
The output power combination of multi collect is obtained to the output power array of described solar panel, the temperature combination of multi collect is obtained to temperature array.In described output power array and described temperature array, the element of same position is synchronization collection.
S202, obtains described solar panel output power P according to the output power array of described solar panel and corresponding temperature array
sthe first power function P of relative temperature W
s=F
1(W).
Particularly, by regression analysis, obtain described solar panel output power P
sthe first power function P of relative temperature W
s=F
1(W).
S203, obtains the highest temperature W on daytime of following a day
maxthe hottest time t with correspondence
max, obtain the minimum gas temperature W on daytime of described following a day
minand correspondence at sunrise between t
min.
Can obtain from weather bureau the highest temperature and corresponding the hottest time and the lowest temperature on daytime on daytime of described following a day there.Daytime, the lowest temperature occurred conventionally at sunrise, therefore also need to obtain described following one day at sunrise between.
S204, according to the highest temperature W on daytime of described following a day
maxthe hottest time t described in appearing at
max, daytime lowest temperature W
mindescribed in appearing at sunrise between t
min, by linear regression analysis method, obtain the temperature function W=E (t) of described temperature W relative time t in daytime of described following one day.
Particularly, by take temperature W, as dependent variable, take the curve that time t is independent variable and be used as downward opening para-curve, point (W
max, t
max) be described parabolical fixed point;
If described parabolical equation is W=-a (t-t
max)
2+ W
max; Wherein a is coefficient;
By point (W
min, t
min) bring described equation W=-a (t-t into
max)
2+ W
max, calculate coefficient
Therefore described parabolical equation is
Therefore, the temperature function of described temperature W relative time t in the daytime of described following one day
S205, the night of described following one day, the output power P of described solar panel
sperseverance is 0; The daytime of described following one day, in conjunction with the first power function P=F of described solar panel
1(W) and described temperature function W=E (t) obtain described solar panel output power P
sthe second power function P of relative time t
s=F
2(t).
Due to described solar panel, be to be electric energy by the energy conversion of sunshine, thus the night of described following one day, the output power P of described solar panel
sperseverance is 0.
The daytime of described following one day, temperature W can change (being W=E (t)), described solar panel output power P along with the variation of time t
scan change along with the variation of temperature W (is P
s=F
1(W)), therefore can draw described solar panel output power P
scan change along with the variation of time t.Particularly, the method that can replace by independent variable is obtained described solar panel output power P
sthe second power function of relative time t, i.e. P
s=F
1(E (t))=F
2(t).
S206, at least continues every D minute, to gather the once electric power of described consumer in one day, obtains the electric power array of described consumer.
Because described objective time interval is following one day, therefore in order to guarantee the accuracy of power consumption control scheme, need to obtain the electric power data that described consumer at least continues a day.
Particularly, at least continue every D minute, to gather the once electric power of described consumer in one day, the electric power of described multi collect is formed to electric power array.
Can gather by each D of method minute of manual record the once electric power of described consumer.Obviously, the data volume of the less collection of described D is more, and follow-up correspondingly processing is also more accurate.
The present embodiment preferably, can access electric energy meter between described consumer and power supply buses, by described electric energy meter, can be realized and every 15 minutes, be gathered an electric power.
S207, becomes equipment when identifying the load fixed equipment in described consumer and loading according to described electric power array.
Load fixed equipment refers to the time-independent consumer of electric power, and the common artificial consumer of switch not, comprises refrigerator, electronic clock, water dispenser, router etc.
During load, change equipment refers to the time dependent consumer of electric power meeting, and the consumer of artificial switch often occurs, and comprises TV, washing machine, micro-wave oven, water heater etc.
If the element variation in the electric power array of consumer is little, can judge that described consumer is for load fixed equipment; If occur being zero element continuously in the electric power array of consumer, in the time of can judging described consumer for load, become equipment.
Consumer comprises: when load fixed equipment and N load, become equipment.
Because the electric power of load fixed equipment does not change in time, therefore all load fixed equipments can be used as to an integral body, its electric power equals the electric power sum of described load fixed equipment.
S208, obtains the first electric power P of described load fixed equipment according to described electric power array
1.
First reject the obvious abnormal element of numerical value in described electric power array, the mean value that then calculates remaining element is the first electric power P of described load fixed equipment
1.
S209, obtains the second electric power that becomes equipment i when each is loaded according to described electric power array
described N is greater than zero integer, described i=1, and 2 ..., N.
First reject the obvious abnormal element of numerical value in described electric power array, when then the mean value of the remaining element of calculating is described load, become the second electric power of equipment i
S210, obtains the described load fixed equipment power consumption Q of a day
1.
By described electric energy meter, obtain the described load fixed equipment power consumption Q of a day
1.
S211, becomes the equipment i power consumption of a day while obtaining each load
described N is greater than zero integer, described i=1, and 2 ..., N.
While obtaining described load by described electric energy meter, become the equipment i power consumption of a day
S212, obtains the electricity price function V=G (t) of described public electric wire net electricity price V relative time t in described following a day.
S213, according to the second power function P of described solar panel
s=F
2(t) obtain the output power array of described solar panel in described following a day
wherein,
for described solar panel j output power of H minute in described following a day,
j=1,2 ..., M.
This step can be divided into according to H minute described following one day
the individual period, the power program that subsequent step is formulated is also to take to adjust the running status of consumer for the time interval in H minute, within every H minute, changes the running status of a consumer.
Obviously, the power program precision of the less formulation of described H is higher, but complexity can correspondingly rise.
Preferably, described H is 15 to the present embodiment, is about to described following one day according within 15 minutes, being divided into M=96 period.
Correspondingly, the output power array of described solar panel
described
for described solar panel j output power of 15 minutes in described following a day.
Within 15 minutes, be the current power industry collection electric power data that can realize and the minimum interval of adjusting electric network state, along with scientific and technological fast development, after not getting rid of, occur the less time interval.
S214, obtains intraday electricity price array { V in described future according to described electricity price function V=G (t)
1, V
2..., V
m; Wherein, V
jj the public electric wire net electricity price of H minute of described following a day,
j=1,2 ..., M.
Preferably, described H is 15 to the present embodiment.Correspondingly, described future, intraday electricity price array was { V
1, V
2..., V
96.
S215, suppose state array that each when load becomes equipment i into
wherein,
may equal 0 or 1,
represent described when load become equipment i described following one day j H minute in closed condition,
represent described when load become equipment i described following one day j H minute in running status, j=1,2 ..., M.
Preferably, described H is 15 to the present embodiment.Correspondingly, each when load the state array that becomes equipment i into
S216, becomes the public electric wire net electricity cost of equipment while obtaining described load fixed equipment and described load
Preferably, described H is 15 to the present embodiment.Correspondingly, become the public electric wire net electricity cost of equipment when described load fixed equipment and described load
S217, becomes the public electric wire net power consumption of equipment while obtaining described load fixed equipment and described load
Preferably, described H is 15 to the present embodiment.Correspondingly, become the public electric wire net power consumption of equipment when described load fixed equipment and described load
S218, the first electric weight upper limit of change equipment power supply while obtaining public electric wire net to described load fixed equipment and described load
obtain described solar panel to the second electric weight upper limit of described public electric wire net power supply
S219, obtains the first constraint condition of described public electric wire net electricity cost C:
obtain the second constraint condition of described public electric wire net electricity cost C:
Preferably, described H is 15 to the present embodiment.Correspondingly, described the first constraint condition is
Described the second constraint condition is
S220, obtains all described the second constraint condition that meets successively
each when load become the K of equipment i
iindividual state array
described K
iduring for described load, become the state array number of equipment i.
Preferably, described H is 15 to the present embodiment.When correspondingly, each is loaded, become the K of equipment i
iindividual state array
S221, becomes the K of equipment i according to described each when load
iindividual state array
obtaining described N when load becomes equipment
individual state matrix
Wherein, described state matrix L
kthe capable representative of i load time become equipment i, described state matrix L
kj row represent in described following one day j running status that becomes equipment while loading for H minute,
i=1,2 ... N, j=1,2 ... M.
Preferably, described H is 15 to the present embodiment.Correspondingly, in described N when load, becomes equipment
individual state matrix
S222, uses described the first constraint condition successively
described in check
individual state matrix L
k, reject the state matrix that does not meet described the first constraint condition.
S223, calculates described by each state matrix of check successively
The corresponding public network electricity charge
select hour corresponding state matrix L of public network electricity charge C
minas becoming the power program of equipment in described following one day during described load.
S224, in described following one day according to described state matrix
While controlling described load, become equipment electricity consumption.
Particularly, described state matrix L
minthe capable corresponding load of i time become equipment i, described matrix L
minj become the running status of equipment while being listed as corresponding j H minute internal loading.If described state matrix L
minelement
while representing load, become equipment i described following one day j in H minute in running status; If described state matrix L
minelement
while representing load, become equipment i described following one day j in H minute in closed condition.
Preferably, described H is 15 to the present embodiment.Correspondingly, described state matrix
Embodiment tri-
The present embodiment provides a kind of power consumption control device, and this device is for carrying out the power consumption control method that above-described embodiment one provides.Referring to Fig. 4, this device comprises:
The first acquisition module 301, for obtaining generating set output power data and corresponding environmental index data;
The second acquisition module 302, for generating set output power P described in the generating set output power data obtained according to described the first acquisition module 301 and corresponding environmental index data acquisition
sthe first power function P of relative environmental index W
s=F
1(W);
The 3rd acquisition module 303, for obtaining the described environmental index W of objective time interval
1the environmental index function W=E (t) of relative time t;
The 4th acquisition module 304, for the first power function P of the generating set obtained in conjunction with described the second acquisition module 302
s=F
1(W) and the environmental index function W=E (t) of the objective time interval obtained of described the 3rd acquisition module 303 obtain described generating set output power P in described objective time interval
sthe second power function P of relative time t
s=F
2(t);
The 5th acquisition module 305, for obtaining the electricity consumption data of consumer, described consumer is powered together with public electric wire net by described generating set;
The 6th acquisition module 306, for electric power and the power consumption of described consumer in objective time interval described in the electricity consumption data acquisition of the consumer that obtains according to described the 5th acquisition module 305;
The 7th acquisition module 307, for obtaining the electricity price function V=G (t) of described public electric wire net electricity price V relative time t in described objective time interval;
The 8th acquisition module 308, for the second power function P of the generating set obtained in conjunction with described the 4th acquisition module 304
s=F
2(t) the electricity price function V=G (t) of the public electric wire net that the electric power of the consumer that, described the 6th acquisition module 306 obtains and power consumption, described the 7th acquisition module 307 obtain obtains the power program of described consumer in described objective time interval; In described objective time interval, described consumer is minimum according to the constant but corresponding public network electricity charge C of the power consumption of described power program electricity consumption;
Embodiment tetra-
The present embodiment provides a kind of power consumption control device, and this device is for carrying out the power consumption control method that above-described embodiment two provides, and this device comprises:
The first acquisition module 401, for:
At least continue a daytime and gathered once the output power of described solar panel and corresponding temperature every B minute, obtain the output power array of described solar panel and corresponding temperature array.
The second acquisition module, for:
The output power array of the solar panel obtaining according to described the first acquisition module 402 and corresponding temperature array are obtained described solar panel output power P
sthe first power function P of relative temperature W
s=F
1(W).
The 3rd acquisition module 403, for:
Obtain the highest temperature and the hottest corresponding time on daytime of described following a day;
Obtain described following one day daytime the lowest temperature and corresponding at sunrise between;
The hottest time described in appearing at according to the highest white environment temperature of described following a day, described in minimum white environment temperature appears at sunrise between, by linear regression analysis method, obtain the temperature function W=E (t) of described temperature W relative time t in daytime of described following one day.
The 4th acquisition module 404, for:
The night of described following one day, the output power P of described solar panel is set
sperseverance is 0;
The daytime of described following one day, in conjunction with the described second the first power function P that obtains 402 solar panels that obtain of mould
s=F
1(W) and the temperature function W=E (t) that obtains of described the 3rd acquisition module 403 obtain described solar panel output power P
sthe second power function P of relative time t
s=F
2(t).
The 5th acquisition module 405, for:
At least continue every D minute, to gather the once electric power of described consumer in one day, obtain the electric power array of described consumer;
Described consumer comprises: when load fixed equipment and N load, become equipment.
The 6th acquisition module 406, for:
The electric power array of obtaining according to described the 5th acquisition module 405 becomes equipment when identifying the load fixed equipment in described consumer and loading;
The electric power array of obtaining according to described the 5th acquisition module 405 is obtained the first electric power P of described load fixed equipment
1;
The electric power array of obtaining according to described the 5th acquisition module 405 becomes the second electric power of equipment i while obtaining each load
Obtain the described load fixed equipment power consumption Q of a day
1;
While obtaining each load, become the equipment i power consumption of a day
Described N is greater than zero integer, described i=1, and 2 ..., N.
The 7th acquisition module 407, for obtaining the electricity price function V=G (t) of described public electric wire net electricity price V relative time t in described objective time interval;
The 8th acquisition module 408, for:
According to the described the 4th the second power function P that obtains 404 solar panels that obtain of mould
s=F
2(t) obtain the output power array of described solar panel in described following a day
wherein,
for described solar panel j output power of H minute in described following a day,
j=1,2 ..., M;
The electricity price function V=G (t) obtaining according to described the 7th acquisition module 407 obtains intraday electricity price array { V in described future
1, V
2..., V
m; Wherein, V
jj the public electric wire net electricity price of H minute of described following a day,
j=1,2 ..., M;
Suppose state array that each when load becomes equipment i into
wherein,
may equal 0 or 1,
represent described when load become equipment i described following one day j H minute in closed condition,
represent described when load become equipment i described following one day j H minute in running status, j=1,2 ..., M;
While obtaining described load fixed equipment and described load, become the public electric wire net electricity cost of equipment
While obtaining described load fixed equipment and described load, become the public electric wire net power consumption of equipment
The first electric weight upper limit of change equipment power supply while obtaining public electric wire net to described load fixed equipment and described load
Obtain described solar panel to the second electric weight upper limit of described public electric wire net power supply
Obtain successively all described the second constraint condition that meets
each when load become the K of equipment i
iindividual state array
described K
iduring for described load, become the state array number of equipment i;
During according to described each load, become the K of equipment i
iindividual state array
obtaining described N when load becomes equipment
individual state matrix
Wherein, described state matrix L
kthe capable representative of i load time become equipment i, described state matrix L
kj row represent in described following one day j running status that becomes equipment while loading for H minute,
i=1,2 ... N, j=1,2 ... M;
Use successively described the first constraint condition
described in check
individual state matrix L
k, reject the state matrix that does not meet described the first constraint condition;
Calculate successively described by each state matrix of check
The corresponding public network electricity charge
select hour corresponding state matrix L of public network electricity charge C
kas becoming the power program of equipment in described following one day during described load.
Control module 409, controls described consumer electricity consumption for the power program obtaining according to described the 8th acquisition module 408 in described objective time interval.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. a power consumption control method, is characterized in that, described method comprises:
Obtain generating set output power data and corresponding environmental index data;
According to generating set output power P described in described generating set output power data and corresponding environmental index data acquisition
sthe first power function P of relative environmental index W
s=F
1(W);
Obtain the described environmental index W of objective time interval
1the environmental index function W=E (t) of relative time t;
The first power function P in conjunction with described generating set
s=F
1(W) and the environmental index function W=E (t) of described objective time interval obtain described generating set output power P in described objective time interval
sthe second power function P of relative time t
s=F
2(t);
The electricity consumption data of obtaining consumer, described consumer is powered together with public electric wire net by described generating set;
According to electric power and the power consumption of described consumer in objective time interval described in the electricity consumption data acquisition of described consumer;
Obtain the electricity price function V=G (t) of described public electric wire net electricity price V relative time t in described objective time interval;
The second power function P in conjunction with described generating set
s=F
2(t), the electricity price function V=G (t) of the electric power of described consumer and power consumption, described public electric wire net obtains the power program of described consumer in described objective time interval; In described objective time interval, described consumer is minimum according to the constant but corresponding public network electricity charge C of the power consumption of described power program electricity consumption;
In described objective time interval, according to described power program, control described consumer electricity consumption.
2. the method for claim 1, is characterized in that,
Described generating set is solar panel;
Described environmental index is temperature;
Described generating set output power data and the corresponding environmental index data obtained, specifically comprise:
At least continue a daytime and gathered once the output power of described solar panel and corresponding temperature every B minute, obtain the output power array of described solar panel and corresponding temperature array;
Described according to generating set output power P described in described generating set output power data and corresponding environmental index data acquisition
sthe first power function P of relative environmental index W
s=F
1(W), specifically comprise:
According to the output power array of described solar panel and corresponding temperature array, obtain described solar panel output power P
sthe first power function P of relative temperature W
s=F
1(W).
3. method as claimed in claim 2, is characterized in that, described objective time interval is following one day;
The described environmental index function W=E (t) that obtains the environmental index W relative time t of objective time interval, specifically comprises:
Obtain the highest temperature and the hottest corresponding time on daytime of described following a day;
Obtain described following one day daytime the lowest temperature and corresponding at sunrise between;
The hottest time described in appearing at according to the highest white environment temperature of described following a day, described in minimum white environment temperature appears at sunrise between, by linear regression analysis method, obtain the temperature function W=E (t) of described temperature W relative time t in daytime of described following one day.
4. method as claimed in claim 3, is characterized in that, the first power function P of generating set described in described combination
s=F
1(W) and the environment function W=E of described objective time interval (t) obtain the second power function P of described generating set output power P relative time t in described objective time interval
s=F
2(t), specifically comprise:
The night of described following one day, the output power P of described solar panel
sperseverance is 0;
The daytime of described following one day, in conjunction with the first power function P of described solar panel
s=F
1(W) and described temperature function W=E (t) obtain described solar panel output power P
sthe second power function P of relative time t
s=F
2(t).
5. method as claimed in claim 4, is characterized in that, described in obtain consumer electricity consumption data specifically comprise:
At least continue every D minute, to gather the once electric power of described consumer in one day, obtain the electric power array of described consumer;
Described consumer comprises: when load fixed equipment and N load, become equipment;
Described according to electric power and the power consumption of described consumer in objective time interval described in the electricity consumption data acquisition of described consumer, specifically comprise:
When identifying the load fixed equipment in described consumer and loading according to described electric power array, become equipment;
According to described electric power array, obtain the first electric power P of described load fixed equipment
1;
While obtaining each load according to described electric power array, become the second electric power of equipment i
Obtain the described load fixed equipment power consumption Q of a day
1;
Described N is greater than zero integer, described i=1, and 2 ..., N.
6. method as claimed in claim 5, is characterized in that, the second power function P of generating set described in described combination
s=F
2(t), the electricity price function V=G (t) of the electric power of described consumer and power consumption, described public electric wire net obtains the power program of described consumer in described objective time interval, specifically comprise:
According to the second power function P of described solar panel
s=F
2(t) obtain the output power array of described solar panel in described following a day
wherein,
for described solar panel j output power of H minute in described following a day,
j=1,2 ..., M;
According to described electricity price function V=G (t), obtain intraday electricity price array { V in described future
1, V
2..., V
m; Wherein, V
jj the public electric wire net electricity price of H minute of described following a day,
j=1,2 ..., M;
Suppose state array that each when load becomes equipment i into
wherein,
may equal 0 or 1,
represent described when load become equipment i described following one day j H minute in closed condition,
represent described when load become equipment i described following one day j H minute in running status, j=1,2 ..., M;
While obtaining described load fixed equipment and described load, become the public electric wire net electricity cost of equipment
While obtaining described load fixed equipment and described load, become the public electric wire net power consumption of equipment
The first electric weight upper limit of change equipment power supply while obtaining public electric wire net to described load fixed equipment and described load
Obtain described solar panel to the second electric weight upper limit of described public electric wire net power supply
Obtain successively all described the second constraint condition that meets
each when load become the K of equipment i
iindividual state array
described K
iduring for described load, become the state array number of equipment i;
During according to described each load, become the K of equipment i
iindividual state array
obtaining described N when load becomes equipment
individual state matrix
Wherein, described state matrix L
kthe capable representative of i load time become equipment i, described state matrix L
kj row represent in described following one day j running status that becomes equipment while loading for H minute,
i=1,2 ... N, j=1,2 ... M;
Use successively described the first constraint condition
described in check
individual state matrix L
k, reject the state matrix that does not meet described the first constraint condition;
Calculate successively described by each state matrix of check
The corresponding public network electricity charge
select hour corresponding state matrix L of public network electricity charge C
kas becoming the power program of equipment in described following one day during described load.
7. a power consumption control device, is characterized in that, described device comprises:
The first acquisition module, for obtaining generating set output power data and corresponding environmental index data;
The second acquisition module, for generating set output power P described in the generating set output power data obtained according to described the first acquisition module and corresponding environmental index data acquisition
sthe first power function P of relative environmental index W
s=F
1(W);
The 3rd acquisition module, for obtaining the described environmental index W of objective time interval
1the environmental index function W=E (t) of relative time t;
The 4th acquisition module, for the first power function P of the generating set obtained in conjunction with described the second acquisition module
s=F
1(W) and the environmental index function W=E (t) of the objective time interval obtained of described the 3rd acquisition module obtain described generating set output power P in described objective time interval
sthe second power function P of relative time t
s=F
2(t);
The 5th acquisition module, for obtaining the electricity consumption data of consumer, described consumer is powered together with public electric wire net by described generating set;
The 6th acquisition module, for electric power and the power consumption of described consumer in objective time interval described in the electricity consumption data acquisition of the consumer that obtains according to described the 5th acquisition module;
The 7th acquisition module, for obtaining the electricity price function V=G (t) of described public electric wire net electricity price V relative time t in described objective time interval;
The 8th acquisition module, for the second power function P of the generating set obtained in conjunction with described the 4th acquisition module
s=F
2(t) the electricity price function V=G (t) of the public electric wire net that the electric power of the consumer that, described the 6th acquisition module obtains and power consumption, described the 7th acquisition module obtain obtains the power program of described consumer in described objective time interval; In described objective time interval, described consumer is minimum according to the constant but corresponding public network electricity charge C of the power consumption of described power program electricity consumption;
Control module, controls described consumer electricity consumption for the power program obtaining according to described the 8th acquisition module in described objective time interval.
8. power consumption control device as claimed in claim 7, is characterized in that,
Described generating set is solar panel;
Described environmental index is temperature;
Described objective time interval is following one day;
Described the first acquisition module specifically for:
At least continue a daytime and gathered once the output power of described solar panel and corresponding temperature every B minute, obtain the output power array of described solar panel and corresponding temperature array;
Described the second acquisition module specifically for:
The output power array of the solar panel obtaining according to described the first acquisition module and corresponding temperature array are obtained described solar panel output power P
sthe first power function P of relative temperature W
s=F
1(W);
Described the 3rd acquisition module specifically for:
Obtain the highest temperature and the hottest corresponding time on daytime of described following a day;
Obtain described following one day daytime the lowest temperature and corresponding at sunrise between;
The hottest time described in appearing at according to the highest white environment temperature of described following a day, described in minimum white environment temperature appears at sunrise between, by linear regression analysis method, obtain the temperature function W=E (t) of described temperature W relative time t in daytime of described following one day.
9. power consumption control device as claimed in claim 8, is characterized in that,
Described consumer comprises: when load fixed equipment and N load, become equipment;
Described the 4th acquisition module specifically for:
The night of described following one day, the output power P of described solar panel
sperseverance is 0,
The daytime of described following one day, the first power function P of the solar panel obtaining in conjunction with described the second acquisition module
s=F
1(W) and the temperature function W=E (t) that obtains of described the 3rd acquisition module obtain described solar panel output power P
sthe second power function P of relative time t
s=F
2(t);
Described the 5th acquisition module specifically for:
At least continue every D minute, to gather the once electric power of described consumer in one day, obtain the electric power array of described consumer;
Described the 6th acquisition module specifically for:
The electric power array of obtaining according to described the 5th acquisition module becomes equipment when identifying the load fixed equipment in described consumer and loading,
The electric power array of obtaining according to described the 5th acquisition module is obtained the first electric power P of described load fixed equipment
1,
The electric power array of obtaining according to described the 5th acquisition module becomes the second electric power of equipment i while obtaining each load
Obtain the described load fixed equipment power consumption Q of a day
1,
Described N is greater than zero integer, described i=1, and 2 ..., N.
10. power consumption control device as claimed in claim 9, is characterized in that,
Described the 8th acquisition module specifically for:
The second power function P of the solar panel obtaining according to described the 4th acquisition module
s=F
2(t) obtain the output power array of described solar panel in described following a day
wherein,
for described solar panel j output power of H minute in described following a day,
j=1,2 ..., M;
The electricity price function V=G (t) obtaining according to described the 7th acquisition module obtains intraday electricity price array { V in described future
1, V
2..., V
m; Wherein, V
jj the public electric wire net electricity price of H minute of described following a day,
j=1,2 ..., M;
Suppose state array that each when load becomes equipment i into
wherein,
may equal 0 or 1,
represent described when load become equipment i described following one day j H minute in closed condition,
represent described when load become equipment i described following one day j H minute in running status, j=1,2 ..., M;
While obtaining described load fixed equipment and described load, become the public electric wire net electricity cost of equipment
While obtaining described load fixed equipment and described load, become the public electric wire net power consumption of equipment
The first electric weight upper limit of change equipment power supply while obtaining public electric wire net to described load fixed equipment and described load
Obtain described solar panel to the second electric weight upper limit of described public electric wire net power supply
Obtain the first constraint condition of described public electric wire net electricity cost C:
Obtain successively all described the second constraint condition that meets
each when load become the K of equipment i
iindividual state array
described K
iduring for described load, become the state array number of equipment i;
During according to described each load, become the K of equipment i
iindividual state array
obtaining described N when load becomes equipment
individual state matrix
Wherein, described state matrix L
kthe capable representative of i load time become equipment i, described state matrix L
kj row represent in described following one day j running status that becomes equipment while loading for H minute,
i=1,2 ... N, j=1,2 ... M;
Use successively described the first constraint condition
described in check
individual state matrix L
k, reject the state matrix that does not meet described the first constraint condition;
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105071396A (en) * | 2015-08-17 | 2015-11-18 | 南方电网科学研究院有限责任公司 | Method and system for energy regulation in photovoltaic building |
CN105321038A (en) * | 2014-07-30 | 2016-02-10 | 三星电子株式会社 | Method and apparatus for device management based on device power information and pricing schemes |
CN105515055A (en) * | 2016-02-19 | 2016-04-20 | 云南电网有限责任公司电力科学研究院 | Smart home electricity control method and system |
CN106093553A (en) * | 2016-07-27 | 2016-11-09 | 北京小米移动软件有限公司 | electricity consumption data detection method and device |
CN106227715A (en) * | 2016-07-13 | 2016-12-14 | 广东电网有限责任公司 | A kind of electricity electricity charge acquisition methods |
CN106325125A (en) * | 2016-08-24 | 2017-01-11 | 深圳博科智能科技有限公司 | Method and device for controlling operation of electrical appliances based on Internet-of-things |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102103164A (en) * | 2009-12-17 | 2011-06-22 | 深圳先进技术研究院 | Solar photovoltaic cell power generating capacity prediction system and method |
CN102280935A (en) * | 2011-06-24 | 2011-12-14 | 中国科学院电工研究所 | Intelligent power grid management system |
CN102570609A (en) * | 2012-01-18 | 2012-07-11 | 山东工商学院 | Resident intelligent energy management system suitable for intelligent power grid |
CN102684305A (en) * | 2012-05-17 | 2012-09-19 | 云南电力试验研究院(集团)有限公司电力研究院 | Method and terminal for realizing household-side intelligent power consumption policy |
-
2013
- 2013-12-13 CN CN201310682201.XA patent/CN103700028B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102103164A (en) * | 2009-12-17 | 2011-06-22 | 深圳先进技术研究院 | Solar photovoltaic cell power generating capacity prediction system and method |
CN102280935A (en) * | 2011-06-24 | 2011-12-14 | 中国科学院电工研究所 | Intelligent power grid management system |
CN102570609A (en) * | 2012-01-18 | 2012-07-11 | 山东工商学院 | Resident intelligent energy management system suitable for intelligent power grid |
CN102684305A (en) * | 2012-05-17 | 2012-09-19 | 云南电力试验研究院(集团)有限公司电力研究院 | Method and terminal for realizing household-side intelligent power consumption policy |
Non-Patent Citations (3)
Title |
---|
YONA A,SENJYU T,FUNABASHI T: "Application of recurrent neural network to short-term-ahead generating power forecasting for photovoltaic system", 《IEEE POWER ENGINEERING SOCIETY GENERAL MEETING》 * |
王江波,等: "户用微电网能量调度日前计划研究", 《电测与仪表》 * |
陈昌松,等: "基于申请网络的光伏阵列发电预测模型的设计", 《电工技术学报》 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105321038A (en) * | 2014-07-30 | 2016-02-10 | 三星电子株式会社 | Method and apparatus for device management based on device power information and pricing schemes |
CN105071396A (en) * | 2015-08-17 | 2015-11-18 | 南方电网科学研究院有限责任公司 | Method and system for energy regulation in photovoltaic building |
CN105071396B (en) * | 2015-08-17 | 2017-11-03 | 南方电网科学研究院有限责任公司 | Method and system for energy regulation in photovoltaic building |
CN105515055A (en) * | 2016-02-19 | 2016-04-20 | 云南电网有限责任公司电力科学研究院 | Smart home electricity control method and system |
CN106227715A (en) * | 2016-07-13 | 2016-12-14 | 广东电网有限责任公司 | A kind of electricity electricity charge acquisition methods |
CN106093553A (en) * | 2016-07-27 | 2016-11-09 | 北京小米移动软件有限公司 | electricity consumption data detection method and device |
CN106325125A (en) * | 2016-08-24 | 2017-01-11 | 深圳博科智能科技有限公司 | Method and device for controlling operation of electrical appliances based on Internet-of-things |
CN106325125B (en) * | 2016-08-24 | 2020-04-24 | 深圳博科智能科技有限公司 | Method and device for controlling electric appliance to work based on Internet of things |
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