CN103700028B - Power consumption control method and device - Google Patents

Power consumption control method and device Download PDF

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Publication number
CN103700028B
CN103700028B CN201310682201.XA CN201310682201A CN103700028B CN 103700028 B CN103700028 B CN 103700028B CN 201310682201 A CN201310682201 A CN 201310682201A CN 103700028 B CN103700028 B CN 103700028B
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equipment
power
day
function
acquisition module
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CN103700028A (en
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李健
肖勇
党三磊
刘健
张思建
林兆淘
危阜胜
张捷
梁国锋
蔡联溪
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Electric Power Research Institute of Guangdong Power Grid Co Ltd
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Electric Power Research Institute of Guangdong Power Grid Co Ltd
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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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

A kind of power consumption control method and apparatus
Technical field
The present invention relates to field of energy-saving technology, particularly to a kind of power consumption control method and apparatus.
Background technology
With the fast development of intelligent power grid technology, photovoltaic generating system has been able to be deployed in average family, and and public Common-battery net is powered to domestic consumer together.Photovoltaic generating system has the advantages that generation mode flexibly and environmental compatible.Due to setting Standby input cost is high, and China is also only limited to surface power station, utilities building, mining equipment using photovoltaic generating system as power supply at present Deng enterprise customer.But, gradually ripe with manufacturing process, the equipment cost of photovoltaic generating system can be gradually lowered it is contemplated that In forthcoming years, photovoltaic generating system can gradually be popularized in average family.
Photovoltaic generating system, in addition to the basic electricity needs of family belonging to meeting, can also convey unnecessary electricity to public electric wire net Amount.In different periods, public electric wire net is different to the desirability of the electricity that photovoltaic generating system conveys, and the such as work hours are enterprises The peak period of industry electricity consumption, and now family's not electricity consumption substantially, being therefore on duty time domestic photovoltaic generating system can be to public affairs The more electric energy of common-battery net conveying, and the electric energy of these conveyings can alleviate the business electrical load pressure of public electric wire net just. Because different periods public electric wire net is different to the desirability of the electricity that photovoltaic generating system conveys, therefore grid company will push away Row is with the adjustment of electricity charges of seasonal change.In this case, family's how rational utilization of electricity, accomplishes that electric cost is minimum, is a value The problem that must study.
Content of the invention
In order to solve problem of the prior art, embodiments provide a kind of power consumption control method and apparatus.Described Technical scheme is as follows:
On the one hand, there is provided a kind of power consumption control method, methods described includes:
Obtain generating equipment output data and corresponding environmental index data;
Described generating equipment output is obtained according to described generating equipment output data and corresponding environmental index data Power psFirst power function p of versus environmental index ws=f1(w);
Obtain described environmental index w of objective time interval1Environmental index function w=e (t) of relative time t;
The first power function p in conjunction with described generating equipments=f1The environmental index function w=of (w) and described objective time interval E (t) obtains described generating equipment output p in described objective time intervalsThe second power function p of relative time ts=f2(t);
Obtain the electricity consumption data of electrical equipment, described electrical equipment is powered together with public electric wire net by described generating equipment;
According to the electricity consumption data of described electrical equipment obtain in described objective time interval the electric power of described electrical equipment and Power consumption;
Obtain 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 equipments=f2(t), the electric power of described electrical equipment and electricity consumption Amount, electricity price function v=g (t) of described public electric wire net obtain the power program of described electrical equipment in described objective time interval;Described In objective time interval, described electrical equipment is constant but corresponding public network electricity charge c is minimum according to the power consumption of described power program electricity consumption;
In described objective time interval, described electrical equipment electricity consumption is controlled according to described power program.
On the other hand, there is provided a kind of power consumption control device, described device includes:
First acquisition module, for obtaining generating equipment output data and corresponding environmental index data;
Second acquisition module, for the generating equipment output data according to described first acquisition module acquisition and correspondence Environmental index data obtain described generating equipment output psFirst power function p of versus environmental index ws=f1(w);
3rd acquisition module, for obtaining described environmental index w of objective time interval1The environmental index function w of relative time t =e (t);
4th acquisition module, the first power function p of the generating equipment for obtaining with reference to described second acquisition modules= f1Environmental index function w=e (t) of w objective time interval that () and described 3rd acquisition module obtain obtains in described objective time interval Described generating equipment output psThe second power function p of relative time ts=f2(t);
5th acquisition module, for obtaining the electricity consumption data of electrical equipment, described electrical equipment by described generating equipment and Public electric wire net is powered together;
6th acquisition module, for described in the electricity consumption data acquisition of the electrical equipment being obtained according to described 5th acquisition module The electric power of described electrical equipment and power consumption in objective time interval;
7th acquisition module, for obtaining the electricity price letter of described public electric wire net electricity price v relative time t in described objective time interval Number v=g (t);
8th acquisition module, the second power function p of the generating equipment for obtaining with reference to described 4th acquisition modules= f2The t electric power of electrical equipment that (), described 6th acquisition module obtain and power consumption, described 7th acquisition module obtain Electricity price function v=g (t) of public electric wire net obtains the power program of described electrical equipment in described objective time interval;During described target In section, described electrical equipment is constant but corresponding public network electricity charge c is minimum according to the power consumption of described power program electricity consumption;
Control module, for controlling institute according to the power program that described 8th acquisition module obtains in described objective time interval State electrical equipment electricity consumption.
Technical scheme provided in an embodiment of the present invention has the benefit that
By the second power function p with reference to generating equipments=f2The electric power of (t), electrical equipment and power consumption, public affairs Electricity price function v=g (t) of common-battery net obtains the power program of electrical equipment in objective time interval, due to not public electric wire net in the same time Electricity price different, therefore can adjust in the case that described electrical equipment power consumption is constant described electrical equipment operation when Between, make described electrical equipment avoid electricity price peak period as far as possible, run in electricity price low-valley interval as far as possible, make described electrical equipment Public network electricity charge c is minimum.
Further, the electricity price peak period of public electric wire net is generally also the load peak period, and electricity price low-valley interval is usual It is also the load valley period, therefore pass through the second power function p with reference to generating equipments=f2(t), electrical equipment use electric work Electricity price function v=g (t) of rate and power consumption, public electric wire net obtains the power program of electrical equipment in objective time interval, makes described use Electric equipment is as far as possible many to be run in electricity price low-valley interval (being also the load valley period), and avoid electricity price peak period (is also negative as far as possible Lotus peak period), the effect reducing public electric wire net load fluctuation can be played, realize the effect to public electric wire net load peak load shifting Really.
Brief description
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, will make to required in embodiment description below Accompanying drawing be briefly described it should be apparent that, drawings in the following description are only some embodiments of the present invention, for For those of ordinary skill in the art, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings 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 a kind of structural representation of home intelligent electrical network that the embodiment of the present invention two provides;
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.
Specific embodiment
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to embodiment party of the present invention Formula is described in further detail.
Embodiment one
Present embodiments provide a kind of power consumption control method, referring to Fig. 1, the method flow that the present embodiment provides is concrete such as Under:
S101, obtains generating equipment output data and corresponding environmental index data.
Described generating equipment refers to the equipment generating electricity using natural conditions, and such as solar panel is sent out using sunlight Electricity, wind-driven generator utilizes wind-power electricity generation, and power station utilizes the gravitational potential energy power generation of water.
Because described generating equipment utilizes natural conditions to generate electricity, the therefore change of natural environment can affect described generating equipment Output.What described environmental index referred to the output of described generating equipment is played a decisive role environmental factorss, example Essential environmental factors as affected described solar panel output is sunlight intensity, affects described wind-driven generator defeated The essential environmental factors going out power is wind speed, and the essential environmental factors affecting described power station output is the flow of water.
Generally, obtain generating equipment output data and corresponding environmental index data specifically includes: when one section Between gather once output and the environmental index of described generating equipment simultaneously, continuous acquisition is multiple.Described continuous several times collection Output be output data, the environmental index of described continuous several times collection is environmental index data.
S102, obtains described generating equipment according to described generating equipment output data and corresponding environmental index data Output psFirst power function p of versus environmental index ws=f1(w).
Output due to described generating equipment is mainly determined by described environmental index, therefore can be by described generating Right between the output data of equipment and the corresponding environmental index data described output of acquisition and described environmental index Should be related to.Described corresponding relation is the first power function.
Because the generating equipment output data obtaining and corresponding environmental index data are typically discrete, therefore may be used Obtain described first power function with regression analyses.
Regression analyses are a kind of common methods of Power Systems prediction, its objective is to find dependent variable (output work Rate) dependency relation and independent variable (environmental index) between.Can be divided into linearly according to the relation between independent variable and dependent variable Regression analyses and nonlinear regression analyses;The number of the independent variable being related to according to regression analyses, can be divided into simple regression analysis And multiple regression analysis.The principle of regression analyses is exactly to utilize known historical data, searches out between dependent variable and independent variable Dependency relation, founding mathematical models, model parameter is obtained by method of least square, then utilize residual error, relative error or Absolute error etc. is tested to model, when model testing is passed through, it is possible to use this model is predicted to power;Conversely, Then abandon this model, reselect mathematical model.
For the embodiment of the present invention, described mathematical model is exactly described generating equipment output psVersus environmental index The first power function p of ws=f1(w).
For the embodiment of the present invention, the process nature of founding mathematical models is with defeated with environmental index w for independent variable Go out power psThe process carrying out curve fitting for dependent variable.After curve matching success, the curvilinear equation of acquisition is described generating Equipment output psFirst power function p of versus environmental index ws=f1(w).
S103, obtains 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 certain period of having not occurred in future with current time as basic point.
Modern science has been able to some environmental index are predicted, for example, pass through to gather meteorological data prediction following The weather conditions of section time are simultaneously issued by weather forecast, by gathering the flow in the following a period of time river of hydrographic data prediction Deng.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 equipments=f1The environmental index letter of (w) and described objective time interval Number w=e (t) obtains described generating equipment output p in described objective time intervalsThe second power function p of relative time ts=f2 (t).
First power function p of described generating equipments=f1W () is with output p with environmental index w for independent variablesFor The function of dependent variable, described environmental index function w=e (t) is the letter with environmental index w as dependent variable with time t for independent variable Number, the method replaced by independent variable, i.e. ps=f1(w)=f1(e (t))=f2(t), it is possible to obtain generating equipment output ps The second power function p of relative time ts=f2(t).
S105, obtains the electricity consumption data of electrical equipment, described electrical equipment is by described generating equipment together with public electric wire net Power supply.
Described electrical equipment refers to consume the equipment of electric energy, and especially, the electric energy that described electrical equipment consumes is by described Electric equipment provides together with public electric wire net.The electric energy that described electrical equipment is provided using public electric wire net can produce corresponding public network electricity Take.
Especially, on the premise of meeting described electrical equipment abundance electricity consumption, described generating equipment can be by unnecessary electricity Public electric wire net can be conveyed to.
The electricity consumption data of described electrical equipment includes the power consumption of electrical equipment described in the past period and corresponding use Electrical power data.
S106, uses electric work according to what the electricity consumption data of described electrical equipment obtained described electrical equipment in described objective time interval Rate and power consumption.
The electric power of described electrical equipment can be obtained by the electricity consumption data of described electrical equipment, by described electricity consumption Power can predict the power consumption in certain period in the future for the described electrical equipment.
S107, obtains 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 equipment can be by unnecessary electrical energy transportation to public electric wire net, therefore electric company can be according to electrical network Load condition dynamic must adjust electricity price.
The electricity price function v=of described public electric wire net electricity price v relative time t in objective time interval can be obtained by electric company g(t).
S108, in conjunction with the second power function p of described generating equipments=f2(t), the electric power of described electrical equipment and Power consumption, electricity price function v=g (t) of described public electric wire net obtain the power program of described electrical equipment in described objective time interval; In described objective time interval, described electrical equipment according to described power program electricity consumption power consumption is constant but corresponding public network electricity charge c Minimum.
Due to not in the same time the electricity price of public electric wire net different, therefore can adjust in the case that electrical equipment power consumption is constant The run time of whole described electrical equipment, makes the public network electricity charge c of described electrical equipment minimum.
S109, controls described electrical equipment electricity consumption according to described power program in described objective time interval.
Power consumption control method provided in an embodiment of the present invention passes through the second power function p with reference to generating equipments=f2(t)、 Electricity price function v=g (t) of the electric power of electrical equipment and power consumption, public electric wire net obtains electrical equipment in objective time interval Power program, due to not in the same time the electricity price of public electric wire net different, therefore can be in the constant feelings of described electrical equipment power consumption Adjust the run time of described electrical equipment under condition, make described electrical equipment avoid electricity price peak period, as far as possible in electricity price as far as possible Low-valley interval runs, and makes the public network electricity charge c of described electrical equipment minimum.
Further, the electricity price peak period of public electric wire net is generally also the load peak period, and electricity price low-valley interval is usual It is also the load valley period, therefore pass through the second power function p with reference to generating equipments=f2(t), electrical equipment use electric work Electricity price function v=g (t) of rate and power consumption, public electric wire net obtains the power program of electrical equipment in objective time interval, makes described use Electric equipment is as far as possible many to be run in electricity price low-valley interval (being also the load valley period), and avoid electricity price peak period (is also negative as far as possible Lotus peak period), the effect reducing public electric wire net load fluctuation can be played, realize the effect to public electric wire net load peak load shifting Really.
Embodiment two
Fig. 2 shows a kind of structural representation of home intelligent electrical network it can be seen that this home intelligent electrical network is with solar energy Cell panel is powered to electrical equipment as generating equipment.Describe as a example home intelligent electrical network shown in by Fig. 2 for the embodiment of the present invention The power consumption control method that the present invention provides.
As shown in figure 3, power consumption control method provided in an embodiment of the present invention includes:
S201, at least continues a daytime and gathers the output of a solar panel and corresponding every b minute Temperature, obtains the output array of described solar panel and corresponding temperature array.
Daytime described in the embodiment of the present invention refers to the daytime of the sun, does not include cloudy day, rainy day, snowy day etc. and sees not Daytime to the sun.
Generally diurnally (when having the sun) outwards exports electric energy to solar panel, exists to obtain solar panel Daytime difference temperature under output, need continue at least one daytime gather described solar panel output.
The output of a solar panel and corresponding can be gathered every b minute by way of manual record Temperature.Obviously, the data of the less collection of b is more, and the accuracy of subsequent treatment is also correspondingly higher.
The present embodiment preferably, can access electric energy meter, by institute between described solar panel and power supply buses State electric energy meter and can realize gathering an output and temperature every 15 minutes simultaneously.
The output combination of multi collect is obtained the output array of described solar panel, is repeatedly adopted The temperature combination of collection obtains temperature array.In described output array and described temperature array, the element of same position is same The collection of one moment.
S202, the output array according to described solar panel and corresponding temperature array obtain described solar energy Cell panel output psThe first power function p of temperature w relativelys=f1(w).
Specifically, obtain described solar panel output p by regression analysessFirst work(of temperature w relatively Rate function ps=f1(w).
S203, obtains the highest temperature w on daytime of following a daymaxWith corresponding the hottest time tmax, obtain described following one It minimum gas temperature w on daytimeminWith corresponding sunrise time tmin.
The highest temperature and corresponding the hottest time and white on daytime of described following one day can be obtained from weather bureau there It the lowest temperature.Daytime, the lowest temperature generally occurred at sunrise, therefore also needed to obtain described following one day at sunrise Between.
S204, according to the highest temperature w on daytime of described following a daymaxThe hottest time t described in occurring inmax, daytime is minimum Temperature wminOccur in described sunrise time tmin, described gas in the daytime of described following one day is obtained by linear regression analysis Temperature function w=e (t) of warm w relative time t.
Specifically, by the curve with temperature w for dependent variable with time t as independent variable as downward opening parabola, then Point (wmax, tmax) it is described parabolical fixed point;
If described parabolical equation is w=-a (t-tmax)2+wmax;Wherein a is coefficient;
By point (wmin, tmin) bring described equation w=-a (t-t intomax)2+wmax, it is calculated coefficient a = w max - w min ( t min - t max ) 2 , Therefore described parabolical equation is w = - w max - w min ( t min - t max ) 2 ( t - t max ) 2 + w max ;
Therefore, in the daytime of described following one day described temperature w relative time t temperature function w = e ( t ) = - w max - w min ( t min - t max ) 2 ( t - t max ) 2 + w max .
S205, the night of described following one day, the output p of described solar panelsPermanent is 0;Described following one It daytime, in conjunction with the first power function p=f of described solar panel1W () and described temperature function w=e (t) obtain Described solar panel output psThe second power function p of relative time ts=f2(t).
Because described solar panel is that the energy of sunlight is converted to electric energy, the night of therefore described following one day Between, the output p of described solar panelsPermanent is 0.
The daytime of described following one day, temperature w can over time the change of t and change (i.e. w=e (t)), described solar energy Cell panel output ps(i.e. p can be changed with the change of temperature ws=f1(w)), therefore can draw described solar-electricity Pond plate output psUnderstand the change of t over time and change.Specifically, the method acquisition that can be replaced by independent variable is described Described solar panel output psSecond power function of relative time t, i.e. ps=f1(e (t))=f2(t).
S206, at least continues to gather once within one day the electric power of described electrical equipment every d minute, obtains described electricity consumption The electric power array of equipment.
Because described objective time interval is following one day, therefore in order to ensure the accuracy of power consumption control scheme, need to obtain Described electrical equipment at least continues the electric power data of a day.
Specifically, at least continue to gather once within one day the electric power of described electrical equipment every d minute, will be described multiple The electric power composition electric power array of collection.
The electric power of described electrical equipment can be gathered once by each d minute of method of manual record.Obviously, institute The data volume stating the less collection of d is more, and it is also more accurate subsequently correspondingly to process.
The present embodiment preferably, can access electric energy meter, by described electricity between described electrical equipment and power supply buses Can table can realize gathering an electric power every 15 minutes.
S207, sets according to the load fixing equipment in the described electric power array described electrical equipment of identification and load time-varying Standby.
Load fixing equipment refers to the time-independent electrical equipment of electric power, the use that generally will not artificially switch Electric equipment, including refrigerator, electronic clock, water dispenser, router etc..
Load time-varying equipment refer to electric power can time dependent electrical equipment, often there is the use of artificial switch Electric equipment, including TV, washing machine, microwave oven, water heater etc..
If the element variation in the electric power array of electrical equipment less, may determine that described electrical equipment is load Fixing equipment;If occurring being continuously zero element in the electric power array of electrical equipment, may determine that described electrical equipment For load time-varying equipment.
Electrical equipment includes: load fixing equipment and n load time-varying equipment.
Electric power due to load fixing equipment does not change in time, therefore can be by all load fixing equipments As an entirety, its electric power is equal to the electric power sum of described load fixing equipment.
S208, obtains the first electric power p of described load fixing equipment according to described electric power array1.
Reject the substantially abnormal element of numerical value in described electric power array first, then calculate the meansigma methodss of remaining element It is the first electric power p of described load fixing equipment1.
S209, obtains second electric power of each load time-varying equipment i according to described electric power arrayDescribed n It is the integer more than zero, described i=1,2 ..., n.
Reject the substantially abnormal element of numerical value in described electric power array first, then calculate the meansigma methodss of remaining element It is second electric power of described load time-varying equipment i
S210, obtains the described load fixing equipment power consumption q of a day1.
The described load fixing equipment power consumption q of a day is obtained by described electric energy meter1.
S211, obtains each load time-varying mono- day power consumption of equipment iDescribed n is the integer more than zero, described i=1, 2 ..., n.
The described load time-varying equipment i power consumption of a day is obtained by described electric energy meter
S212, obtains 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 panels=f2T () obtains described in described following one day The output array of solar panelWherein,For described solar panel described The output of j-th h minute in following one day,J=1,2 ..., m.
Described following one day can be divided into by this step according to h minuteThe individual period, subsequent step is formulated Power program is also the running status adjusting electrical equipment with h minute for time interval, and that is, every h minute changes an electrical equipment Running status.
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, will be divided into m=96 period according to 15 minutes within described following one day.
Correspondingly, the output array of described solar panelDescribedFor described Solar panel j-th outputs of 15 minutes in described following a day.
It is within 15 minutes the current power industry collection electric power data being capable of and the minimum interval adjusting electric network state, with The fast development of science and technology however not excluded that less time interval occurs later.
S214, obtains described following intraday electricity price array { v according to described electricity price function v=g (t)1, v2..., vm};Wherein, vjIt is the public electric wire net electricity price of j-th h minute of described following a day,J=1,2 ..., m.
Preferably, described h is 15 to the present embodiment.Correspondingly, described following intraday electricity price array is { v1, v2..., v96}.
S215 is it is assumed that the state array of each load time-varying equipment i isWherein,May Equal to 0 or 1,Represent that described load time-varying equipment i is closed in j-th h minute of described following a day,Represent that described load time-varying equipment i is in running status, j=1,2 ..., m in j-th h minute of described following a day.
Preferably, described h is 15 to the present embodiment.Correspondingly, the state array of each load time-varying equipment i is { r 1 i , r 2 i , . . . , r 96 i } .
S216, obtains described load fixing equipment and the public electric wire net electricity cost of described load time-varying equipment c = σ j = 1 m h 60 · ( p 1 + σ i = 1 n p 2 i · r j i - p j s ) · v j .
Preferably, described h is 15 to the present embodiment.Correspondingly, described load fixing equipment and described load time-varying equipment Public electric wire net electricity cost c = σ j = 1 96 1 4 · ( p 1 + σ i = 1 n p 2 i · r j i - p j s ) · v j .
S217, obtains the public electric wire net power consumption of described load fixing equipment and described load time-varying equipment q = h 60 σ j = 1 m ( p 1 + σ i = 1 n p 2 i · r j i - p j s ) .
Preferably, described h is 15 to the present embodiment.Correspondingly, described load fixing equipment and described load time-varying equipment Public electric wire net power consumption q = 1 4 σ j = 1 96 ( p 1 + σ i = 1 n p 2 i · r j i - p j s ) .
S218, obtains on the first electricity that public electric wire net is powered to described load fixing equipment and described load time-varying equipment LimitObtain the second electricity upper limit that described solar panel is powered to described public electric wire net q max 2 .
S219, the first constraints of described public electric wire net electricity cost c of acquisition:Obtain described Second constraints of public electric wire net electricity cost c:
Preferably, described h is 15 to the present embodiment.Correspondingly, described first constraints is - q max 2 ≤ 1 4 σ j = 1 96 ( p 1 + σ i = 1 n p 2 i · r j i - p j s ) ≤ q max 1 , Described second constraints is σ j = 1 96 r j i = 4 · q 2 i p 2 i .
S220, obtains successively and all meets described second constraintsEach load time-varying equipment i KiIndividual state arrayDescribed kiState array number for described load time-varying equipment i.
Preferably, described h is 15 to the present embodiment.Correspondingly, the k of each load time-varying equipment iiIndividual state array
S221, according to the k of described each load time-varying equipment iiIndividual state arrayObtain described N load time-varying equipmentIndividual state matrix l k = r 1 1 r 2 1 . . . r m 1 r 1 2 r 2 2 . . . r m 2 . . . . . . . . . . . . r 1 n r 2 n . . . r m n ; Wherein, described state matrix lk? I row represents load time-varying equipment i, described state matrix lkJth row when representing j-th h minute load in described following a day The running status of change equipment,I=1,2 ... n, j=1,2 ... m.
Preferably, described h is 15 to the present embodiment.Correspondingly, described n load time-varying equipmentIndividual state matrix l k = r 1 1 r 2 1 . . . r 96 1 r 1 2 r 2 2 . . . r 96 2 . . . . . . . . . . . . r 1 n r 2 n . . . r 96 n .
S222, successively with described first constraintsInspection is describedIndividual state matrix lk, pick Except the state matrix not meeting described first constraints.
S223, calculates described each state matrix by inspection successively l k = r 1 1 r 2 1 . . . r m 1 r 1 2 r 2 2 . . . r m 2 . . . . . . . . . . . . r 1 n r 2 n . . . r m n Corresponding public affairs The net electricity chargeCorresponding state matrix l when selecting public network electricity charge c minimumminAs The power program of described load time-varying equipment in described following one day.
S224, according to described state matrix in described following one day l min = r 1 1 r 2 1 . . . r m 1 r 1 2 r 2 2 . . . r m 2 . . . . . . . . . . . . r 1 n r 2 n . . . r m n Control described negative Lotus time-varying equipment electricity consumption.
Specifically, described state matrix lminThe i-th row corresponding load time-varying equipment i, described matrix lminJth row correspond to The running status of j-th h minute internal loading time-varying equipment.If described state matrix lminElementWhen then representing load Change equipment i is in running status in j-th h minute of described following a day;If described state matrix lminElement Then represent that load time-varying equipment i is closed in j-th h minute of described following a day.
Preferably, described h is 15 to the present embodiment.Correspondingly, described state matrix l k = r 1 1 r 2 1 . . . r 96 1 r 1 2 r 2 2 . . . r 96 2 . . . . . . . . . . . . r 1 n r 2 n . . . r 96 n .
Embodiment three
Present embodiments provide a kind of power consumption control device, this device be used for executing above-described embodiment one offer with automatically controlled Method processed.Referring to Fig. 4, this device includes:
First acquisition module 301, for obtaining generating equipment output data and corresponding environmental index data;
Second acquisition module 302, for the generating equipment output data being obtained according to described first acquisition module 301 Obtain described generating equipment output p with corresponding environmental index datasFirst power function p of versus environmental index ws= f1(w);
3rd acquisition module 303, for obtaining described environmental index w of objective time interval1The environmental index letter of relative time t Number w=e (t);
4th acquisition module 304, the first power letter of the generating equipment for obtaining with reference to described second acquisition module 302 Number ps=f1Environmental index function w=e (t) of w objective time interval that () and described 3rd acquisition module 303 obtain obtains described mesh Described generating equipment output p in timestamp sectionsThe second power function p of relative time ts=f2(t);
5th acquisition module 305, for obtaining the electricity consumption data of electrical equipment, described electrical equipment is by described generating equipment Power together with public electric wire net;
6th acquisition module 306, the electricity consumption data of the electrical equipment for being obtained according to described 5th acquisition module 305 obtains Take the electric power of described electrical equipment and power consumption in described objective time interval;
7th acquisition module 307, for obtaining the electricity of described public electric wire net electricity price v relative time t in described objective time interval Valency function v=g (t);
8th acquisition module 308, the second power letter of the generating equipment for obtaining with reference to described 4th acquisition module 304 Number ps=f2The t electric power of electrical equipment and power consumption, described 7th acquisition mould that (), described 6th acquisition module 306 obtain Electricity price function v=g (t) of the public electric wire net that block 307 obtains obtains the power program of described electrical equipment in described objective time interval; In described objective time interval, described electrical equipment according to described power program electricity consumption power consumption is constant but corresponding public network electricity charge c Minimum;
Control module 309, for controlling institute according to described 8th acquisition module 308 power program in described objective time interval State electrical equipment electricity consumption.
Example IV
Present embodiments provide a kind of power consumption control device, this device be used for executing above-described embodiment two offer with automatically controlled Method processed, this device includes:
First acquisition module 401, is used for:
At least continue a daytime every the b minute collection once output of described solar panel and corresponding gas Temperature, obtains the output array of described solar panel and corresponding temperature array.
Second acquisition module, is used for:
The output array of the solar panel being obtained according to described first acquisition module 402 and corresponding temperature number Group obtains described solar panel output psThe first power function p of temperature w relativelys=f1(w).
3rd acquisition module 403, is used for:
Obtain the highest temperature and corresponding the hottest time on daytime of described following a day;
Obtain the lowest temperature and corresponding sunrise time on daytime of described following a day;
The hottest time according to the highest white ring border temperature of described following a day occurs in, minimum white ring border temperature occurs in institute State sunrise time, obtain the temperature of described temperature w relative time t in the daytime of described following one day by linear regression analysis Function w=e (t).
4th acquisition module 404, is used for:
The night of described following one day, the output p of described solar panel is setsPermanent is 0;
The daytime of described following one day, in conjunction with the first work(of the described second solar panel obtaining 402 pieces of acquisitions of mould Rate function ps=f1W temperature function w=e (t) that () and described 3rd acquisition module 403 obtain obtains described solar panel Output psThe second power function p of relative time ts=f2(t).
5th acquisition module 405, is used for:
At least continue to gather once within one day the electric power of described electrical equipment every d minute, obtain described electrical equipment Electric power array;
Described electrical equipment includes: load fixing equipment and n load time-varying equipment.
6th acquisition module 406, is used for:
Identify that the load in described electrical equipment is fixed according to the electric power array that described 5th acquisition module 405 obtains Equipment and load time-varying equipment;
Obtain the first use of described load fixing equipment according to the electric power array that described 5th acquisition module 405 obtains Electrical power p1
Obtain the second of each load time-varying equipment i according to the electric power array that described 5th acquisition module 405 obtains Electric power
Obtain the described load fixing equipment power consumption q of a day1
Obtain each load time-varying mono- day power consumption of equipment i
Described n is the integer more than zero, described i=1,2 ..., n.
7th acquisition module 407, for obtaining the electricity of described public electric wire net electricity price v relative time t in described objective time interval Valency function v=g (t);
8th acquisition module 408, is used for:
The second power function p according to the described 4th solar panel obtaining 404 pieces of acquisitions of moulds=f2T () obtains institute State the output array of described solar panel in following a dayWherein,For described too The output of sun energy cell panel j-th h minute in described following a day,J=1,2 ..., m;
Described following intraday electricity price is obtained according to electricity price function v=g (t) that described 7th acquisition module 407 obtains Array { v1, v2..., vm};Wherein, vjIt is the public electric wire net electricity price of j-th h minute of described following a day,J=1,2 ..., m;
The state array assuming each load time-varying equipment i isWherein,Be equally likely to 0 or 1,Represent that described load time-varying equipment i is closed in j-th h minute of described following a day,Represent Described load time-varying equipment i is in running status, j=1,2 ..., m in j-th h minute of described following a day;
Obtain described load fixing equipment and the public electric wire net electricity cost of described load time-varying equipment c = σ j = 1 m h 60 · ( p 1 + σ i = 1 n p 2 i · r j i - p j s ) · v j ;
Obtain described load fixing equipment and the public electric wire net power consumption of described load time-varying equipment q = h 60 σ j = 1 m ( p 1 + σ i = 1 n p 2 i · r j i - p j s ) ;
Obtain the first electricity upper limit that public electric wire net is powered to described load fixing equipment and described load time-varying equipment
Obtain the second electricity upper limit that described solar panel is powered to described public electric wire net
Obtain the first constraints of described public electric wire net electricity cost c:
Obtain the second constraints of described public electric wire net electricity cost c:
Obtain successively and all meet described second constraintsEach load time-varying equipment i kiIndividual State arrayDescribed kiState array number for described load time-varying equipment i;
K according to described each load time-varying equipment iiIndividual state arrayObtain described n to bear Lotus time-varying equipmentIndividual state matrix l k = r 1 1 r 2 1 . . . r m 1 r 1 2 r 2 2 . . . r m 2 . . . . . . . . . . . . r 1 n r 2 n . . . r m n ; Wherein, described state matrix lkThe i-th row generation Table load time-varying equipment i, described state matrix lkJth row represent j-th h minute load time-varying equipment in described following one day Running status,I=1,2 ... n, j=1,2 ... m;
Successively with described first constraintsInspection is describedIndividual state matrix lk, reject not Meet the state matrix of described first constraints;
Calculate described each state matrix by inspection successively l k = r 1 1 r 2 1 . . . r m 1 r 1 2 r 2 2 . . . r m 2 . . . . . . . . . . . . r 1 n r 2 n . . . r m n The corresponding public network electricity chargeCorresponding state matrix l when selecting public network electricity charge c minimumkAs described future The power program of described load time-varying equipment in one day.
Control module 409, for the power program being obtained according to described 8th acquisition module 408 in described objective time interval Control described electrical equipment electricity consumption.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all spirit in the present invention and Within principle, any modification, equivalent substitution and improvement made etc., should be included within the scope of the present invention.

Claims (8)

1. a kind of power consumption control method is it is characterised in that methods described includes:
Obtain generating equipment output data and corresponding environmental index data;
Described generating equipment output p is obtained according to described generating equipment output data and corresponding environmental index datas First power function p of versus environmental index ws=f1(w);
Obtain environmental index function w=e (t) of the described environmental index w relative time t of objective time interval;
The first power function p in conjunction with described generating equipments=f1Environmental index function w=e (t) of (w) and described objective time interval Obtain described generating equipment output p in described objective time intervalsThe second power function p of relative time ts=f2(t);
Obtain the electricity consumption data of electrical equipment, described electrical equipment is powered together with public electric wire net by described generating equipment;
Electricity consumption data according to described electrical equipment obtains the electric power of described electrical equipment and electricity consumption in described objective time interval Amount;
Obtain 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 equipments=f2(t), the electric power of described electrical equipment and power consumption, institute Electricity price function v=g (t) stating public electric wire net obtains the power program of described electrical equipment in described objective time interval;Described target In period, described electrical equipment is constant but corresponding public network electricity charge c is minimum according to the power consumption of described power program electricity consumption;
In described objective time interval, described electrical equipment electricity consumption is controlled according to described power program;
Electrical equipment includes: load fixing equipment and n load time-varying equipment;
Second power function p of generating equipment described in described combinations=f2(t), the electric power of described electrical equipment and electricity consumption Amount, electricity price function v=g (t) of described public electric wire net obtain the power program of described electrical equipment in described objective time interval, specifically Including:
According to described second power function ps=f2T () obtains the output array of generating equipment in following a dayWherein,For the output of generating equipment j-th h minute in described following a day,J=1,2 ..., m;
Described following intraday electricity price array { v is obtained according to described electricity price function v=g (t)1, v2..., vm};Wherein, vjIt is The public electric wire net electricity price of j-th h minute of described following a day,
The state array assuming each load time-varying equipment i isWherein,It is equally likely to 0 or 1,Represent that described load time-varying equipment i is closed in j-th h minute of described following a day,Represent institute J-th h minute stating load time-varying equipment i at described following one day is in running status, j=1,2 ..., m;
Obtain described load fixing equipment and the public electric wire net electricity cost of described load time-varying equipment
Obtain described load fixing equipment and the public electric wire net power consumption of described load time-varying equipment
Obtain the first electricity upper limit that public electric wire net is powered to described load fixing equipment and described load time-varying equipment
Obtain the second electricity upper limit that generating equipment is powered to described public electric wire net
Obtain the first constraints of described public electric wire net electricity cost c:
Obtain the second constraints of described public electric wire net electricity cost c:
Obtain successively and all meet described second constraintsEach load time-varying equipment i kiIndividual state ArrayDescribed kiState array number for described load time-varying equipment i;
K according to described each load time-varying equipment iiIndividual state arrayWhen obtaining described n load Change equipmentIndividual state matrixWherein, described state matrix lkThe i-th row represent negative Lotus time-varying equipment i, described state matrix lkJth row represent the fortune of j-th h minute load time-varying equipment in described following one day Row state,I=1,2 ... n, j=1,2 ... m;
Successively with described first constraintsInspection is describedIndividual state matrix lk, reject and do not meet institute State the state matrix of the first constraints;
Calculate described each state matrix by inspection successivelyThe corresponding public network electricity chargeCorresponding state matrix l when selecting public network electricity charge c minimumkAs described future The power program of described load time-varying equipment in one day.
2. the method for claim 1 it is characterised in that
Described generating equipment is solar panel;
Described environmental index is temperature;
Described acquisition generating equipment output data and corresponding environmental index data, specifically include:
At least continue a daytime every the b minute collection once output of described solar panel and corresponding temperature, Obtain the output array of described solar panel and corresponding temperature array;
Described described generating equipment output is obtained according to described generating equipment output data and corresponding environmental index data Power psFirst power function p of versus environmental index ws=f1W (), specifically includes:
Output array according to described solar panel and corresponding temperature array obtain solar panel output work Rate psThe first power function p of temperature w relativelys=f1(w).
3. method as claimed in claim 2 is it is characterised in that described objective time interval is following one day;
Environmental index function w=e (t) of the described environmental index w relative time t obtaining objective time interval, specifically includes:
Obtain the highest temperature and corresponding the hottest time on daytime of described following a day;
Obtain the lowest temperature and corresponding sunrise time on daytime of described following a day;
The hottest time according to the highest temperature on daytime of described following a day occurs in, daytime, the lowest temperature occurred in described day Go out the time, obtain the temperature function of described temperature w relative time t in the daytime of described following one day by linear regression analysis W=e (t).
4. method as claimed in claim 3 is it is characterised in that the first power function p of generating equipment described in described combinations= f1W environment function w=e (t) of () and described objective time interval obtains described generating equipment output p phase in described objective time interval The second power function p to time ts=f2T (), specifically includes:
The night of described following one day, the output p of described solar panelsPermanent is 0;
The daytime of described following one day, in conjunction with the first power function p of described solar panels=f1(w) and described temperature letter Number w=e (t) obtains described solar panel output psThe second power function p of relative time ts=f2(t).
5. method as claimed in claim 4 is it is characterised in that the electricity consumption data of described acquisition electrical equipment specifically includes:
At least continue to gather once within one day the electric power of described electrical equipment every d minute, obtain the use of described electrical equipment Electrical power array;
Described electricity consumption data according to described electrical equipment obtain in described objective time interval the electric power of described electrical equipment and Power consumption, specifically includes:
Identify load fixing equipment and the load time-varying equipment in described electrical equipment according to described electric power array;
Obtain the first electric power p of described load fixing equipment according to described electric power array1
Obtain the second electric power p of each load time-varying equipment i according to described electric power array2 i
Obtain the described load fixing equipment power consumption q of a day1
Obtain each load time-varying equipment i power consumption q of a day2 i
Described n is the integer more than zero, described i=1,2 ..., n.
6. a kind of power consumption control device is it is characterised in that described device includes:
First acquisition module, for obtaining generating equipment output data and corresponding environmental index data;
Second acquisition module, for the generating equipment output data according to described first acquisition module acquisition and corresponding ring Border achievement data obtains described generating equipment output psFirst power function p of versus environmental index ws=f1(w);
3rd acquisition module, for obtaining the environmental index function w=e of the described environmental index w relative time t of objective time interval (t);
4th acquisition module, the first power function p of the generating equipment for obtaining with reference to described second acquisition modules=f1(w) Environmental index function w=e (t) of the objective time interval obtaining with described 3rd acquisition module obtains described in described objective time interval Electric equipment output psThe second power function p of relative time ts=f2(t);
5th acquisition module, for obtaining the electricity consumption data of electrical equipment, described electrical equipment is by described generating equipment and public Electrical network is powered together;
6th acquisition module, the electricity consumption data of the electrical equipment for being obtained according to described 5th acquisition module obtains described target The electric power of described electrical equipment and power consumption in period;
7th acquisition module, for obtaining the electricity price function v of described public electric wire net electricity price v relative time t in described objective time interval =g (t);
8th acquisition module, the second power function p of the generating equipment for obtaining with reference to described 4th acquisition modules=f2 The t electric power of electrical equipment and the public affairs of power consumption, described 7th acquisition module acquisition that (), described 6th acquisition module obtain Electricity price function v=g (t) of common-battery net obtains the power program of described electrical equipment in described objective time interval;Described objective time interval Interior, described electrical equipment is constant but corresponding public network electricity charge c is minimum according to the power consumption of described power program electricity consumption;
Control module, for controlling described use according to the power program that described 8th acquisition module obtains in described objective time interval Electric equipment electricity consumption;
Described electrical equipment includes: load fixing equipment and n load time-varying equipment;
Described 8th acquisition module specifically for:
Second power function p of the generating equipment being obtained according to described 4th acquisition modules=f2T () obtains institute in following a day State the output array of generating equipmentWherein,For described generating equipment at described following one day The output of interior j-th h minute,J=1,2 ..., m;
Described following intraday electricity price array { v is obtained according to electricity price function v=g (t) that described 7th acquisition module obtains1, v2..., vm};Wherein, vjIt is the public electric wire net electricity price of j-th h minute of described following a day,J=1, 2 ..., m;
The state array assuming each load time-varying equipment i isWherein,It is equally likely to 0 or 1,Represent that described load time-varying equipment i is closed in j-th h minute of described following a day,Represent institute J-th h minute stating load time-varying equipment i at described following one day is in running status, j=1,2 ..., m;
Obtain described load fixing equipment and the public electric wire net electricity cost of described load time-varying equipment
Obtain described load fixing equipment and the public electric wire net power consumption of described load time-varying equipment
Obtain the first electricity upper limit that public electric wire net is powered to described load fixing equipment and described load time-varying equipment
Obtain the second electricity upper limit that described generating equipment is powered to described public electric wire net
Obtain the first constraints of described public electric wire net electricity cost c:
Obtain the second constraints of described public electric wire net electricity cost c:
Obtain successively and all meet described second constraintsEach load time-varying equipment i kiIndividual state ArrayDescribed kiState array number for described load time-varying equipment i;
K according to described each load time-varying equipment iiIndividual state arrayWhen obtaining described n load Change equipmentIndividual state matrixWherein, described state matrix lkThe i-th row represent negative Lotus time-varying equipment i, described state matrix lkJth row represent the fortune of j-th h minute load time-varying equipment in described following one day Row state,I=1,2 ... n, j=1,2 ... m;
Successively with described first constraintsInspection is describedIndividual state matrix lk, reject and do not meet institute State the state matrix of the first constraints;
Calculate described each state matrix by inspection successivelyThe corresponding public network electricity chargeCorresponding state matrix l when selecting public network electricity charge c minimumkAs described future The power program of described load time-varying equipment in one day.
7. power consumption control device as claimed in claim 6 it is characterised in that
Described generating equipment is solar panel;
Described environmental index is temperature;
Described objective time interval is following one day;
Described first acquisition module specifically for:
At least continue a daytime every the b minute collection once output of described solar panel and corresponding temperature, Obtain the output array of described solar panel and corresponding temperature array;
Described second acquisition module specifically for:
The output array of the solar panel being obtained according to described first acquisition module and corresponding temperature array obtain Solar panel output psThe first power function p of temperature w relativelys=f1(w);
Described 3rd acquisition module specifically for:
Obtain the highest temperature and corresponding the hottest time on daytime of described following a day;
Obtain the lowest temperature and corresponding sunrise time on daytime of described following a day;
The hottest time according to the highest temperature on daytime of described following a day occurs in, daytime, the lowest temperature occurred in described day Go out the time, obtain the temperature function of described temperature w relative time t in the daytime of described following one day by linear regression analysis W=e (t).
8. power consumption control device as claimed in claim 7 it is characterised in that
Described 4th acquisition module specifically for:
The night of described following one day, the output p of described solar panelsPermanent is 0,
The daytime of described following one day, the first power function p of the solar panel obtaining in conjunction with described second acquisition modules =f1W temperature function w=e (t) that () and described 3rd acquisition module obtain obtains described solar panel output psPhase The second power function p to time ts=f2(t);
Described 5th acquisition module specifically for:
At least continue to gather once within one day the electric power of described electrical equipment every d minute, obtain the use of described electrical equipment Electrical power array;
Described 6th acquisition module specifically for:
According to described 5th acquisition module obtain electric power array identify described electrical equipment in load fixing equipment and Load time-varying equipment,
Obtain the first electric power of described load fixing equipment according to the electric power array that described 5th acquisition module obtains p1,
Obtain second electric power of each load time-varying equipment i according to the electric power array that described 5th acquisition module obtains
Obtain the described load fixing equipment power consumption q of a day1,
Obtain each load time-varying mono- day power consumption of equipment i
Described n is the integer more than zero, described i=1,2 ..., n.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102072421B1 (en) * 2014-07-30 2020-02-03 삼성전자 주식회사 Method and Apparatus for management according to device power information and utility data
CN105071396B (en) * 2015-08-17 2017-11-03 南方电网科学研究院有限责任公司 The method and system of energy adjustment 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
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

Citations (4)

* Cited by examiner, † Cited by third party
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

Patent Citations (4)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
Title
Application of recurrent neural network to short-term-ahead generating power forecasting for photovoltaic system;Yona A,Senjyu T,Funabashi T;《IEEE Power Engineering Society General Meeting》;20071231;全文 *
基于申请网络的光伏阵列发电预测模型的设计;陈昌松,等;《电工技术学报》;20090926;第24卷(第9期);全文 *
户用微电网能量调度日前计划研究;王江波,等;《电测与仪表》;20130825;第50卷(第572期);第81-85页 *

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