CN104181898A - Intelligent control method and system for interactive home appliances on basis of time-of-use electricity price response - Google Patents

Abstract

The invention provides an intelligent control method and system for interactive home appliances on the basis of time-of-use electricity price response. The method is characterized by comprising the steps that the home appliances are automatically classified according to types of home appliance loads; use habits of the home appliances of users are determined according to historical home appliance running status data collected in 30 days; according to time-of-use electricity price policy information of a receiving power grid, basic load demand ranges corresponding to all time periods are predicted and determined for the users; according to obtained user home appliance use habit characteristics and load settings, controllable degree indexes of the home appliances are calculated, and running status models of the home appliances are determined; according to the controllable degree indexes of the home appliances, dynamic control priorities and a control algorithm of the home appliances are determined, and intelligent control over the home appliances is achieved. The method and system have the advantages that interactivity is good, the receiving degree of the users is high, the users can be guided to reasonably avoid the peak hours for electricity utilization, and electricity utilization cost is remarkably reduced.

Description

A kind of interactive electrical appliances intelligent control method and system based on tou power price response

Technical field

The present invention relates to electrical appliances intelligent control field, is a kind of interactive electrical appliances intelligent control method and system based on tou power price response.

Background technology

Along with the fast development of intelligent grid, domestic consumer's intelligent appliance volume of holding increases, family's electric load constantly increases, in order rationally to reduce electricity consumption expenditure, the guiding user peak load shifting of science, the Based Intelligent Control of household electrical appliances is imperative, simultaneously, the appearance of intelligence two-way interactive technology and demand response technology, making user initiatively participate in tou power price response by control household electrical appliances becomes possibility.

Household intelligent control mode has at present: Chinese invention patent application number: 201110044875.8, a kind of method, device and Intelligent Home Appliance Controller of controlling household electrical appliance operational mode disclosed, it is to realize situation about changing according to network load, household electrical appliances are carried out to the technical matters of automatically controlling, thereby improve the service efficiency of the energy.It is from electrical network, to extract arrowband power line carrier communication PLC signal, afterwards PLC signal is changed into logic level TTL, determine current electrical network electricity price information according to the logic level TTL transforming, convert told electricity price information to the control command corresponding with household electrical appliance again, finally send to electrical equipment to reach the effect of control apparatus order by the control interface of electrical equipment, but, it only considers the impact of network load changing factor on household electrical appliance control, and ignore user's consumption habit, the factors such as tou power price response and satisfaction, the inadequate hommization of its control procedure, normal electricity consumption life impact on user is larger, it is limited that user receives degree.

Summary of the invention

One of technical matters to be solved by this invention is: a kind of interactive electrical appliances intelligent control method based on tou power price response is provided, this method is based on intelligent power two-way interactive technology, respond from tou power price, electric cost expenditure, four angles of user's consumption habit and comfort level are analyzed household electrical appliances operation control characteristic, and calculate household electrical appliances degree of controllability index according to the real-time running state information of tou power price information and household electrical appliances, determine the dynamic control priority of household electrical appliances, meeting on the basis of the normal electricity consumption life of user, to change user's consumption habit and the comfort level that meets user.

Two of technical matters to be solved by this invention is: a kind of interactive intelligent control system of domestic electric appliances based on tou power price response is provided.

One of technical scheme that solves its technical matters employing is: a kind of interactive electrical appliances intelligent control method based on tou power price response, it is characterized in that, and it comprises the following steps:

1) according to household electrical appliances load type, household electrical appliances classification is independently set

Use the influence degree of user life is divided into important load household electrical appliances and controllable burden household electrical appliances by household electrical appliances according to household electrical appliances, described important load household electrical appliances refer to electric furnace, illumination class, once power-off meeting is to user's household electrical appliances that affect greatly of living; Described controllable burden household electrical appliances refer to air-conditioning, water heater electricity consumption time and rule is more stable and its short time power-off affects the household electrical appliances of resident's normal life hardly, and the load classification of the whole household electrical appliances that have for user is set and can independently be adjusted by user;

2), according to the historical household electrical appliances running state data of 30 days collecting, determine user's household electrical appliances use habit feature

User's household electrical appliances use habit feature: the electrical equipment of being taken over for use family by the use priority list of household electrical appliances uses preference; Characterized user's electrical equipment custom traffic coverage by the fuzzy electricity consumption period of household electrical appliances; The minimum duration being used by household electrical appliances characterizes the lowest limit value of electric operation time; The highest duration being used by household electrical appliances characterizes the lowest limit value of electric operation time, because user is larger with the household electrical appliances usage behavior otherness on off-day on weekdays, therefore, its electrical equipment use habit has dividing of working day and off-day, and the concrete solution procedure of the use habit feature of each household electrical appliances is as follows:

(1) choose user household electrical appliances usage behavior analyze sample

Historical household electrical appliances status data from memory module concentrates the household electrical appliances status data of choosing in nearly 30 days to divide as analyzing samples by working day and nonworkdays, the main attribute of its household electrical appliances running state data comprises household electrical appliances numbering, household electrical appliances title, the household electrical appliances opening time, the household electrical appliances shut-in time, the operate power of household electrical appliances etc., the status data of household electrical appliances is gathered by controllable intelligent socket, be transferred to smart-interactive terminal and temporarily store and send to the unified storage of intelligent control center of community, its acquisition interval is 1min;

(2) household electrical appliances of setting up based on user habit use priority mapping table

First, determine that household electrical appliances use priority, the household electrical appliances total amount of supposing this user is n, its household electrical appliances based on user habit use priority to be divided into n level, secondly, solve the frequency of utilization of each household electrical appliances, according to determined date type when the day before yesterday, be off-day or working day, calculating and obtaining the frequency of utilization of certain household electrical appliances i in sample data is f _i:

$f_i=\frac{d_i}{t_d}---\left(1\right)$

Wherein, d _ifor household electrical appliances are at t _daccess times in it, t _dfor the number of days by household electrical appliances usage behavior analyzing samples corresponding to date type on the same day, last, determine priority, set up mapping table, by f _icarry out ascending order arrangement, the priority of its corresponding household electrical appliances is respectively 1 to n, the priority maximum that n represents, and then set up priority mapping table;

(3) household electrical appliances that solve based on user habit use basic parameter

The sample data obtaining based on the first step, calculates and obtains the minimum electricity consumption duration Δ t of each household electrical appliances _{i, min}, maximum electricity consumption duration Δ t _{i, max}, average duration average electric power according to the electricity consumption period (t of each household electrical appliances _i,s, t _i,e) average time point t _{i, mid}carry out K-Means cluster analysis, algorithm steps is as follows:

1. selected characteristic vector, build sampling feature vectors collection, because the electricity consumption period otherness of same household electrical appliances is little, so, household electrical appliances use average time point can reflect user's household electrical appliances usage behavior, and same electrical equipment not same date has similar household electrical appliances operating characteristic, therefore choose the electricity consumption period average point t of household electrical appliances _{i, mid}as proper vector, using arranging as sampling feature vectors collection by time ascending order of the electricity consumption period average point of all samples of these household electrical appliances;

2. initialization, establishes sampling feature vectors and concentrates and have N average point, chooses k the average point of appearance of a day as initial cluster center, and cluster centre matrix is:

U _i＝[U _i,1,U _i,2,...,U _i,k] (2)

To j sample point t of data centralization household electrical appliances i _i,j, calculate the time difference distance of itself and each cluster centre, and category label under obtaining, computing formula is as follows:

$U_m\left(j\right)\←\arg \underset{j}{\min }|t_{i,j}-U_{i,m}|,m=1,...,k;j=1,...,N---\left(3\right)$

In formula, U _m(j) representative sample point t _i,jwith k bunch nearest bunch;

3. recalculate k cluster centre, computing formula is as follows:

$U_{i,m}=\frac{1}{N_m}\underset{t_{i,j}\∈U_{i,m}}{\mathrm{\Σ}}{t}_{i,j}---\left(4\right)$

In formula, N _mwith U _i,mfor cluster centre bunch number of samples;

4. double counting, until criterion function convergence, convergence judging basis is as follows:

$E=\underset{j=1}{\overset{k}{\mathrm{\Σ}}}\underset{U_{i,m}}{\mathrm{\Σ}}{|t-m_j|}^2---\left(5\right)$

In formula, E is the summation of the square error of all objects in sample set, and t is the point in space, m _ja bunch U _i,mmean value, the cluster centre matrix U of the household electrical appliances i finally obtaining _i, its average is pressed to average duration equivalent expansion, determines the fuzzy electricity consumption period matrix T of these household electrical appliances _i, this step entirety is realized by the electrical energy consumption analysis module of intelligent interaction end;

3), according to the tou power price policy information that receives electrical network, basic load range of needs corresponding to user's day part determined in prediction

Tou power price refers to that, according to system loading level, per period is carried out the electricity price regulation of different electricity charge standards, and tou power price can be expressed as

P _t＝P ₀·(1+P _r,t),t＝1,2,...,N _p (6)

In formula, t represents the period, N _pfor divide total time hop count, P _trepresent the toll-ratio in t moment, Dan Wei $/KWh, P ₀represent basic electricity price, P _r,trepresent the unsteady ratio of the relatively basic electricity price of the relative toll-ratio of day part, tou power price response is with by day part carried out to the embodiment of power load assignment constraint, its constraint condition is to meet the relatively less restriction of demand charge, judges as electric cost expenditure amount using the per day electric cost expenditure M of nearly 30 days;

Load distribution process is as follows:

(a), according to consumption habit feature, solve the standard power consumption Q that each household electrical appliances day part is corresponding _{b, i, t};

(b) solve the total load Q of day part _{sum, t}, solution formula is as follows:

$Q_{\mathrm{sum},t}=\underset{i=1}{\overset{\mathrm{Ne}}{\mathrm{\Σ}}}{Q}_{b,i,t}---\left(7\right)$

In formula, Ne is household electrical appliances number;

(c) solve total electric cost expenditure M _s, solution formula is as follows:

$M_s=\underset{t=1}{\overset{N_p}{\mathrm{\Σ}}}{P}_t---\left(8\right)$

(d) judge M _swhether exceed electric cost expenditure amount M, if exceed, according to household electrical appliances use order from low to high of priority to the service time of single household electrical appliances to the adjacent low electricity price period, mistiming was carried out appropriateness skew in one hour, and its skew duration is the mistiming, if without the adjacent low electricity price period, continue next household electrical appliances to judge, adjust after the operation period of household electrical appliances, repeated (b) and (c), until M _swithin electric cost expenditure amount M, the total load Q of day part _{sum, t}be the power load restriction upper limit that day part is corresponding, the total load Q of important load household electrical appliances _{imp, t}with Q _{sum, t}solve identical, i.e. its power load restriction lower limit;

4) according to asked user's household electrical appliances use habit feature and load setting, calculate household electrical appliances degree of controllability index, and determine the running status model of each household electrical appliances

The power on/off state of the controlled household electrical appliances of user is often relevant with user's satisfaction, and user's satisfaction is affected by its household electrical appliances service condition and consumption habit again simultaneously, adopts household electrical appliances degree of controllability index K _ccharacterize this impact of household electrical appliances real-time status on user power utilization behavior, its value is larger, user's satisfaction is lower, it is just controlled and is more necessary, according to 1) in household electrical appliances classification, the relevance of the on off operating mode of important load household electrical appliances and user's consumption habit is larger, and the on off operating mode of controllable burden household electrical appliances and household electrical appliances electric cost expenditure relevance are larger, adopt certain household electrical appliances i degree of controllability index K _c,icharacterize this household electrical appliances real-time status, user can be according to historical electricity consumption behavior, carries out tou power price response, and realizes intelligent appliance according to household electrical appliances degree of controllability and rationally control, and its computing formula is as follows:

$K_{c,i,t}=\left\{\begin{array}{cc}|1-\frac{\mathrm{\ΔT}}{\mathrm{\Δ}{t}_i}|& i\∈E_a\\ \frac{M_{n,i,t}-M_{s,i,t}}{M_{s,i,t}}& i\∈E_u\end{array}\right.---\left(9\right)$

In formula, Δ T is that important load household electrical appliances i has opened the period and 2 under the current period) in the fuzzy electricity consumption period matrix T of the household electrical appliances of trying to achieve _iin approach intersection period of period most, be 2) in the average electricity consumption duration of trying to achieve, M _{n, i, t}for the operation power charge value of t period household electrical appliances i, M _{s, i, t}if for household electrical appliances i at electricity charge value corresponding to minimum electricity price period, E _athe set of controllable burden household electrical appliances, E _uthe set of important load household electrical appliances, from formula (9), for important load household electrical appliances, user power utilization behavior and user power utilization custom are closely bound up, therefore, its degree of controllability index is described by its consumption habit change degree, degree of controllability index is larger, illustrate that user satisfaction is lower, the control priority that its corresponding household electrical appliances participate in tou power price response is higher, for controllable burden household electrical appliances, user power utilization behavior and electric cost expenditure are closely bound up, its degree of controllability index is described by its consumption habit change degree, degree of controllability index is larger, illustrate that user satisfaction is lower, the control priority that its corresponding household electrical appliances participate in tou power price response is higher, K _c,ipassed through standardization processing, the typicalness parameter that can be used as all household electrical appliances compares processing,

For the classification of load household electrical appliances, determine household electrical appliances running status model, household electrical appliances running status model is divided into two kinds, is respectively the running status model of controllable burden household electrical appliances and the running status model of important load household electrical appliances:

(1) the running status model of controllable burden household electrical appliances is as follows:

$S_{a,t}=\left\{\begin{array}{cc}0& Q_{n,t}<Q_{a,s}\\ 1& Q_{n,t}>Q_{a,s}+\mathrm{\&Delta;}{Q}_a\\ S_{a,t-1}& Q_{a,s}\&le;Q_{n,t}\&le;Q_{a,s}+\mathrm{\&Delta;}{Q}_a\end{array}\right.---\left(10\right)$

In formula, S _a,tfor the controllable burden household electrical appliances duty of t period, 0 represents off-position, and 1 represents "on" position, Q _n,trepresent the corresponding factor of influence instantaneous value of t period, Q _a,srepresent the highest setting value, Δ Q _afor setting range, for the air-conditioning of controllable burden household electrical appliances, its running status is relevant with Temperature Setting, in the time that room temperature is the highest, and air-conditioning energising, during lower than minimum, air-conditioning power-off, in setting range, keeps original state;

(2) the running status model of important load household electrical appliances is as follows:

$S_{u,t}=\left\{\begin{array}{cc}0& t\&NotElement;T_{i,t}\\ 1& t\&Element;T_{i,t}\end{array}\right.---\left(11\right)$

In formula, S _u,tfor the important load household electrical appliances duty of t period, 0 represents off-position, and 1 represents "on" position, T _i,texpression recently from the component of fuzzy electricity consumption period matrix, contrasts the micro-wave oven of important load household electrical appliances apart from the t period, and its running status is relevant with the historical consumption habit of user, should open in the historical electricity consumption period, otherwise, answer power-off;

5) according to household electrical appliances degree of controllability index, determine that household electrical appliances dynamically control priority and control algolithm, realize the Based Intelligent Control of household electrical appliances

For realizing rational electric control, need determine the control priority of household electrical appliances, introduce the electric control dynamic priority K of family, K can be with family's electricity condition real-time change, and the K value that certain household electrical appliances is corresponding is larger, more preferentially controls,

For household electrical appliances i, this household electrical appliances degree of controllability index K _c,ilarger, illustrate that user satisfaction is lower, its dynamic control priority is higher, therefore, can use the degree of controllability index K of household electrical appliances _c,icharacterize household electrical appliances and dynamically control priority K, concrete computation process is as follows:

Characterize the sampling function K of K _app(t) solution formula is as follows:

The solution formula of household electrical appliances pri function K (t) is as follows:

K(t)＝N(K _app(t)) (13)

In formula, for being less than the maximum integer of x, the ranking functions that N (x) is x, K _app(t) be the sampled value of the sign K of t period, K _c(t) be the household electrical appliances degree of controllability index of t period, first by household electrical appliances load type to degree of controllability index taking nmin as the sampling period, obtain the degree of controllability index K of household electrical appliances _c, then K to p kind controllable burden household electrical appliances _athe K of sequence and q kind important load household electrical appliances _usequence, and it is divided into respectively to p grade and q grade.Wherein, p represents that controllable burden man electric control priority is the highest, and q represents that important load man electric control priority is the highest, analyze known, when n hour, K value may cause the frequent variations of household electrical appliances power on/off state, affecting household electrical appliances normally works, in the time that n is larger, the update cycle of K value is longer, and this dynamic priority has certain hysteresis quality, user's satisfaction will be affected, therefore need choose reasonable n value, the household electrical appliances user habit feature based on user, makes n value get the minimum electricity consumption duration Δ t of each household electrical appliances _{i, min}carry out initial setting, user can independently adjust, and so not only makes household electrical appliances instruction character electric laws of use of the whole family, meanwhile, has avoided the hysteresis quality of controlling;

Family's electric control target is: under electrical network tou power price policy, ensure the normal electricity consumption life of user, reduce electricity charge spending as far as possible, according to the dynamic control priority K of household electrical appliances degree of controllability parameter identification household electrical appliances, and carry out from high to low control decision, if the household electrical appliances total load amount of certain period is P1, certain period power load restriction P2 of the prediction of response tou power price, control principle of the present invention is that first an electric control is carried out in the distribution of the load of the prediction based on tou power price and user habit, after based on consumption habit important load household electrical appliances are carried out to the control of secondary household electric, concrete control algolithm is as follows:

(e) the tou power price policy of reception next day of electrical network, calculates tou power price P _t, and according to historical consumption habit, calculate P2;

(f) according to household electrical appliances load type and household electrical appliances real-time running data calculating K _cwith K sequence, determine the dynamic priority of controllable burden household electrical appliances and important load household electrical appliances, judge the size of P1 and P2 in contrast;

(g) in the time of P1>P2, implementing the first stage controls, controllable burden household electrical appliances are controlled, according to household electrical appliances dynamic priority order from low to high, if these household electrical appliances are "on" position, make its power-off and upgrade P1, then repeat (f), if otherwise these household electrical appliances are in off-position, judge lower priority man electricity condition and carry out decision-making, until P1<P2 meets the demands, if still do not meet, to the control of important load man electric limit subordinate phase, according to the duty model of household electrical appliances, carry out the control of subordinate phase state, in the time that important load household electrical appliances carry out control procedure, according to household electrical appliances dynamic priority order from low to high, if these household electrical appliances are "on" position, need send household electrical appliances duty to user and change prompting, in 1min, nothing is responded or agrees to, automatically control, if respond refusal, do not carry out this control, after control completes, upgrade P1, then repeat (f), if otherwise these household electrical appliances are in off-position, judge lower priority man electricity condition and carry out decision-making, until P1<P2 meets the demands,

(h), in the time of P1<P2, according to the duty model of household electrical appliances, carry out the control of subordinate phase state, in the time that important load household electrical appliances carry out control procedure, need send household electrical appliances duty to user and change prompting, in 1min, agree to, automatically control, if respond refusal or without response, do not carry out this control, after having controlled, carry out an electricity condition and upgrade, until P1<P2 meets the demands, enter next round control.

The technical scheme two that solves its technical matters employing is: a kind of interactive intelligent control system of domestic electric appliances based on tou power price response is provided, it is characterized in that, it is by smart-interactive terminal, controllable intelligent socket, intelligent electric meter acquisition module, community control center, grid control centre composition, smart-interactive terminal and controllable intelligent socket, community control center, intelligent electric meter data acquisition module is connected, wherein, electrical energy consumption analysis module is for the historical consumption habit analysis of household electrical appliances, family's electric control module can be used for household electrical appliances running status model construction, degree of controllability index calculates, family's electric control priority is determined, control algolithm simulation, LED touch display screen is for essential information typing, household electrical appliances running status shows, clock module is for determining system time, power module is supplied with for the electric weight of smart-interactive terminal, communication module is for uploading the household electrical appliances running state data being collected by controllable intelligent socket, reception sends to community control center by grid side and is transmitted to user's tou power price policy information, memory module is used for storing household electrical appliances running state data, degree of controllability index, household electrical appliances are dynamically controlled the data such as priority, alarm module is reminded for send household electrical appliances break-make to user, controllable intelligent socket is connected with smart-interactive terminal, for measuring the running status of household electrical appliances, upload running state data, reception control signal, realize Based Intelligent Control, intelligent electric meter acquisition module, be connected with intelligent electric meter, be used for gathering intelligent electric meter data, community control center is connected with grid control centre and user's smart-interactive terminal, be used for receiving storage grid side tou power price policy information, the household electrical appliances running state data of user's side, analyze the household electrical appliances operation characteristic of different user, issue an electric load demand is set, grid control centre is connected with community control center, be used for issuing tou power price policy information, guarantee network load balance.

The interactive intelligent control system of domestic electric appliances of a kind of tou power price response of the present invention, can the controlled household electrical appliances running state information of Real-time Collection and carry out data processing, realize control system of switching on or off electricity for different household electrical appliances, can realize electrical network and smart-interactive terminal and carry out two-way communication, on the one hand the household electrical appliances status data of Real-time Collection is sent to smart-interactive terminal, be resent to community control center, finally, be transferred to grid company for its reference, can receive on the other hand the tou power price policy information that electrical network issues, can be by historical household electrical appliances running state data be analyzed, obtain household electrical appliances use habit, simultaneously, according to the basic background data of typing and electric cost expenditure amount, household electrical appliances break-make is reminded, show household electrical appliances real-time status information, tou power price policy information and household electrical appliances real-time status information etc., store the functions such as recent household electrical appliances history run status data.

A kind of interactive electrical appliances intelligent control method based on tou power price response of the present invention, realize the response control of user's household electrical appliances based on tou power price, significantly improve electrical network integral load curve, reduce peak-valley difference, simultaneously on the basis of response tou power price, take into account user's consumption habit and satisfaction, the degree of controllability index concept of household electrical appliances has been proposed, and the real-time electronic state control of computist priority accordingly, make to control result and do not affect user's normal life as far as possible, improve household electrical appliances utilization ratio, the present invention also has better interactivity, user's degree of reception is high, and can guides user rationally use electricity in off-peak hours, significantly reduce electricity cost.

Brief description of the drawings

Fig. 1 is a kind of interactive electrical appliances intelligent control method flow diagram based on tou power price response of the present invention;

Fig. 2 is a kind of interactive electrical appliances intelligent control algorithm flow chart based on tou power price response of the present invention;

Fig. 3 is a kind of interactive intelligent control system of domestic electric appliances structural drawing based on tou power price response of the present invention.

Embodiment

The invention will be further described to utilize the drawings and specific embodiments below.

With reference to Fig. 1, a kind of interactive electrical appliances intelligent control method flow diagram based on tou power price response of the present invention, details are as follows for concrete steps:

1) according to household electrical appliances load type, household electrical appliances classification is independently set

Use the influence degree of user's life is divided into important load household electrical appliances and controllable burden household electrical appliances by household electrical appliances according to household electrical appliances, important load household electrical appliances refer to if its power-off meetings such as electric furnace, illumination class household electrical appliances are to user's household electrical appliances that affect greatly of living, controllable burden refer to as the electricity consumption such as air-conditioning, the water heater time and rule comparatively stable, and its short time power-off affects the household electrical appliances of resident's normal life hardly, the load classification of the whole household electrical appliances that wherein, have for user is set and can independently be adjusted by user;

2), according to the historical household electrical appliances running state data of 30 days collecting, determine user's household electrical appliances use habit feature

User's household electrical appliances use habit feature is by the use priority (electrical equipment that characterizes user uses preference) of household electrical appliances, the fuzzy electricity consumption period (characterizing user's electrical equipment custom traffic coverage) of household electrical appliances, the minimum duration (characterizing the lowest limit value of electric operation time) that household electrical appliances use, the highest duration (characterizing the lowest limit value of electric operation time) that household electrical appliances use etc. carrys out comprehensive description, because user is larger with the household electrical appliances usage behavior otherness on off-day on weekdays, therefore, its electrical equipment use habit has dividing of working day and off-day, the concrete solution procedure of the use habit feature of each household electrical appliances is as follows:

(1) choose user household electrical appliances usage behavior analyze sample

Historical household electrical appliances status data from memory module concentrates the household electrical appliances status data of choosing in nearly 30 days to divide as analyzing samples by working day and nonworkdays, the main attribute of its household electrical appliances running state data comprises household electrical appliances numbering, household electrical appliances title, the household electrical appliances opening time, the household electrical appliances shut-in time, the operate power of household electrical appliances etc., the status data of household electrical appliances is gathered by controllable intelligent socket, be transferred to smart-interactive terminal and temporarily store and send to the unified storage of intelligent control center of community, its acquisition interval is 1min;

(2) household electrical appliances of setting up based on user habit use priority mapping table

First, determine that household electrical appliances use priority, the household electrical appliances total amount of supposing this user is n, its household electrical appliances based on user habit use priority to be divided into n level, secondly, solve the frequency of utilization of each household electrical appliances, according to determined date type (off-day or working day) when the day before yesterday, calculating and obtaining the frequency of utilization of certain household electrical appliances i in sample data is f _i:

$f_i=\frac{d_i}{t_d}---\left(1\right)$

Wherein, d _ifor household electrical appliances are at t _daccess times in it, t _dfor the number of days by household electrical appliances usage behavior analyzing samples corresponding to date type on the same day, last, determine priority, set up mapping table, by f _icarry out ascending order arrangement, the priority of its corresponding household electrical appliances is respectively 1 to n, the priority maximum that n represents, and then set up priority mapping table;

(3) household electrical appliances that solve based on user habit use basic parameter

The sample data obtaining based on the first step, calculates and obtains the minimum electricity consumption duration Δ t of each household electrical appliances _{i, min}, maximum electricity consumption duration Δ t _{i, max}, average duration average electric power according to the electricity consumption period (t of each household electrical appliances _i,s, t _i,e) average time point t _{i, mid}carry out K-Means cluster analysis, algorithm steps is as follows:

1. selected characteristic vector, build sampling feature vectors collection, because the electricity consumption period otherness of same household electrical appliances is little, so, household electrical appliances use average time point can reflect user's household electrical appliances usage behavior, and same electrical equipment not same date has similar household electrical appliances operating characteristic, therefore choose the electricity consumption period average point t of household electrical appliances _{i, mid}as proper vector, using arranging as sampling feature vectors collection by time ascending order of the electricity consumption period average point of all samples of these household electrical appliances;

2. initialization, establishes sampling feature vectors and concentrates and have N average point, chooses k the average point of appearance of a day as initial cluster center, and cluster centre matrix is:

U _i＝[U _i,1,U _i,2,...,U _i,k] (2)

To j sample point t of data centralization household electrical appliances i _i,j, calculate the time difference distance of itself and each cluster centre, and category label under obtaining, computing formula is as follows:

$U_m\left(j\right)\&LeftArrow;\arg \underset{j}{\min }|t_{i,j}-U_{i,m}|,m=1,...,k;j=1,...,N,---\left(3\right)$

In formula, U _m(j) representative sample point t _i,jwith k bunch nearest bunch;

3. recalculate k cluster centre, computing formula is as follows:

$U_{i,m}=\frac{1}{N_m}\underset{t_{i,j}\&Element;U_{i,m}}{\mathrm{\&Sigma;}}{t}_{i,j}---\left(4\right)$

In formula, N _mwith U _i,mfor cluster centre bunch number of samples;

4. double counting, until criterion function convergence, convergence judging basis is as follows:

$E=\underset{j=1}{\overset{k}{\mathrm{\&Sigma;}}}\underset{U_{i,m}}{\mathrm{\&Sigma;}}{|t-m_j|}^2---\left(5\right)$

In formula, E is the summation of the square error of all objects in sample set, and t is the point in space, m _ja bunch U _i,mmean value, the cluster centre matrix U of the household electrical appliances i finally obtaining _i, its average is pressed to average duration equivalent expansion, determines the fuzzy electricity consumption period matrix T of these household electrical appliances _i, this step entirety is realized by the electrical energy consumption analysis module of intelligent interaction end;

3), according to the tou power price policy information that receives electrical network, basic load range of needs corresponding to user's day part determined in prediction

Tou power price refers to that, according to system loading level, per period is carried out the electricity price regulation of different electricity charge standards, and tou power price can be expressed as

P _t＝P ₀·(1+P _r,t),t＝1,2,...,N _p (6)

In formula, t represents the period, N _pfor divide total time hop count, P _trepresent the toll-ratio in t moment, Dan Wei $/KWh, P ₀represent basic electricity price, P _r,trepresent the unsteady ratio of the relatively basic electricity price of the relative toll-ratio of day part, tou power price response is with by day part carried out to the embodiment of power load assignment constraint, its constraint condition is to meet the relatively less restriction of demand charge, judges as electric cost expenditure amount using the per day electric cost expenditure M of nearly 30 days;

Load distribution process is as follows:

(a), according to consumption habit feature, solve the standard power consumption Q that each household electrical appliances day part is corresponding _{b, i, t};

(b) solve the total load Q of day part _{sum, t}, solution formula is as follows:

$Q_{\mathrm{sum},t}=\underset{i=1}{\overset{\mathrm{Ne}}{\mathrm{\&Sigma;}}}{Q}_{b,i,t}---\left(7\right)$

In formula, Ne is household electrical appliances number;

(c) solve total electric cost expenditure M _s, solution formula is as follows:

$M_s=\underset{t=1}{\overset{N_p}{\mathrm{\&Sigma;}}}{P}_t---\left(8\right)$

(d) judge M _swhether exceed electric cost expenditure amount M, if exceed, according to household electrical appliances use order from low to high of priority to the service time of single household electrical appliances to the adjacent low electricity price period, mistiming was carried out appropriateness skew in one hour, and its skew duration is the mistiming, if without the adjacent low electricity price period, continue next household electrical appliances to judge, adjust after the operation period of household electrical appliances, repeated (b) and (c), until M _swithin electric cost expenditure amount M, the total load Q of day part _{sum, t}be the power load restriction upper limit that day part is corresponding, the total load Q of important load household electrical appliances _{imp, t}with Q _{sum, t}solve identical, i.e. its power load restriction lower limit;

4) according to asked user's household electrical appliances use habit feature and load setting, calculate household electrical appliances degree of controllability index, and determine the running status model of each household electrical appliances

The power on/off state of the controlled household electrical appliances of user is often relevant with user's satisfaction, and user's satisfaction is affected by its household electrical appliances service condition and consumption habit again simultaneously, adopts household electrical appliances degree of controllability index K _ccharacterize this impact of household electrical appliances real-time status on user power utilization behavior, its value is larger, user's satisfaction is lower, it is just controlled and is more necessary, according to 1) in household electrical appliances classification, the relevance of the on off operating mode of important load household electrical appliances and user's consumption habit is larger, and the on off operating mode of controllable burden household electrical appliances and household electrical appliances electric cost expenditure relevance are larger, adopt certain household electrical appliances i degree of controllability index K _c,icharacterize this household electrical appliances real-time status, user can be according to historical electricity consumption behavior, carries out tou power price response, and realizes intelligent appliance according to household electrical appliances degree of controllability and rationally control, and its computing formula is as follows:

$K_{c,i,t}=\left\{\begin{array}{cc}|1-\frac{\mathrm{\&Delta;T}}{\mathrm{\&Delta;}{t}_i}|& i\&Element;E_a\\ \frac{M_{n,i,t}-M_{s,i,t}}{M_{s,i,t}}& i\&Element;E_u\end{array}\right.---\left(9\right)$

In formula, Δ T is that important load household electrical appliances i has opened the period and 2 under the current period) in the fuzzy electricity consumption period matrix T of the household electrical appliances of trying to achieve _iin approach intersection period of period most, be 2) in the average electricity consumption duration of trying to achieve, M _{n, i, t}for the operation power charge value of t period household electrical appliances i, M _{s, i, t}if for household electrical appliances i at electricity charge value corresponding to minimum electricity price period, E _athe set of controllable burden household electrical appliances, E _uthe set of important load household electrical appliances, from formula (9), for important load household electrical appliances, user power utilization behavior and user power utilization custom are closely bound up, therefore, its degree of controllability index is described by its consumption habit change degree, degree of controllability index is larger, illustrate that user satisfaction is lower, the control priority that its corresponding household electrical appliances participate in tou power price response is higher, for controllable burden household electrical appliances, user power utilization behavior and electric cost expenditure are closely bound up, its degree of controllability index is described by its consumption habit change degree, degree of controllability index is larger, illustrate that user satisfaction is lower, the control priority that its corresponding household electrical appliances participate in tou power price response is higher, K _c,ipassed through standardization processing, the typicalness parameter that can be used as all household electrical appliances compares processing,

For the classification of load household electrical appliances, determine household electrical appliances running status model, household electrical appliances running status model is divided into two kinds, is respectively the running status model of controllable burden household electrical appliances and the running status model of important load household electrical appliances:

(1) the running status model of controllable burden household electrical appliances is as follows:

$S_{a,t}=\left\{\begin{array}{cc}0& Q_{n,t}<Q_{a,s}\\ 1& Q_{n,t}>Q_{a,s}+\mathrm{\&Delta;}{Q}_a\\ S_{a,t-1}& Q_{a,s}\&le;Q_{n,t}\&le;Q_{a,s}+\mathrm{\&Delta;}{Q}_a\end{array}\right.---\left(10\right)$

In formula, S _a,tfor the controllable burden household electrical appliances duty (0 represents off-position, and 1 represents "on" position) of t period, Q _n,trepresent the corresponding factor of influence instantaneous value of t period, Q _a,srepresent the highest setting value, Δ Q _afor setting range, taking air-conditioning (controllable burden household electrical appliances) as example, its running status is relevant with Temperature Setting, in the time that room temperature is the highest, and air-conditioning energising, during lower than minimum, air-conditioning power-off, in setting range, keeps original state;

(2) the running status model of important load household electrical appliances is as follows:

$S_{u,t}=\left\{\begin{array}{cc}0& t\&NotElement;T_{i,t}\\ 1& t\&Element;T_{i,t}\end{array}\right.---\left(11\right)$

In formula, S _u,tfor the important load household electrical appliances duty (0 represents off-position, and 1 represents "on" position) of t period, T _i,texpression is apart from the t period recently from the component of fuzzy electricity consumption period matrix, and taking micro-wave oven (important load household electrical appliances) as example, its running status is relevant with the historical consumption habit of user, should open in the historical electricity consumption period, otherwise, answer power-off;

5) according to household electrical appliances degree of controllability index, determine that household electrical appliances dynamically control priority and control algolithm, realize the Based Intelligent Control of household electrical appliances

For realizing rational electric control, need determine the control priority of household electrical appliances, introduce the electric control dynamic priority K of family, K can be with family's electricity condition real-time change, and the K value that certain household electrical appliances is corresponding is larger, more preferentially controls.

For household electrical appliances i, this household electrical appliances degree of controllability index K _c,ilarger, illustrate that user satisfaction is lower, its dynamic control priority is higher, therefore, can use the degree of controllability index K of household electrical appliances _c,icharacterize household electrical appliances and dynamically control priority K, concrete computation process is as follows:

Characterize the sampling function K of K _app(t) solution formula is as follows:

The solution formula of household electrical appliances pri function K (t) is as follows:

K(t)＝N(K _app(t)) (13)

In formula, for being less than the maximum integer of x, the ranking functions that N (x) is x, K _app(t) be the sampled value of the sign K of t period, K _c(t) be the household electrical appliances degree of controllability index of t period, first by household electrical appliances load type to degree of controllability index taking nmin as the sampling period, obtain the degree of controllability index K of household electrical appliances _c, then K to p kind controllable burden household electrical appliances _athe K of sequence and q kind important load household electrical appliances _usequence, and it is divided into respectively to p grade and q grade.Wherein, p represents that controllable burden man electric control priority is the highest, and q represents that important load man electric control priority is the highest, analyze known, when n hour, K value may cause the frequent variations of household electrical appliances power on/off state, affecting household electrical appliances normally works, in the time that n is larger, the update cycle of K value is longer, and this dynamic priority has certain hysteresis quality, user's satisfaction will be affected, therefore need choose reasonable n value, the household electrical appliances user habit feature based on user, makes n value get the minimum electricity consumption duration Δ t of each household electrical appliances _{i, min}carry out initial setting, user can independently adjust, and so not only makes household electrical appliances instruction character electric laws of use of the whole family, meanwhile, has avoided the hysteresis quality of controlling.

With reference to figure 2, based on the electrical appliances intelligent control algorithm flow chart of tou power price response, its algorithm is as follows:

(e) the tou power price policy of reception next day of electrical network, calculates tou power price P _t, and according to historical consumption habit, calculate P2;

(f) according to household electrical appliances load type and household electrical appliances real-time running data calculating K _cwith K sequence, determine the dynamic priority of controllable burden household electrical appliances and important load household electrical appliances, judge the size of P1 and P2 in contrast;

(g) in the time of P1>P2, implementing the first stage controls, controllable burden household electrical appliances are controlled, according to household electrical appliances dynamic priority order from low to high, if these household electrical appliances are "on" position, make its power-off and upgrade P1, then repeat (f), if otherwise these household electrical appliances are in off-position, judge lower priority man electricity condition and carry out decision-making, until P1<P2 meets the demands, if still do not meet, to the control of important load man electric limit subordinate phase, according to the duty model of household electrical appliances, carry out the control of subordinate phase state, in the time that important load household electrical appliances carry out control procedure, according to household electrical appliances dynamic priority order from low to high, if these household electrical appliances are "on" position, need send household electrical appliances duty to user and change prompting, in 1min, nothing is responded or agrees to, automatically control, if respond refusal, do not carry out this control, after control completes, upgrade P1, then repeat (f), if otherwise these household electrical appliances are in off-position, judge lower priority man electricity condition and carry out decision-making, until P1<P2 meets the demands,

(h), in the time of P1<P2, according to the duty model of household electrical appliances, carry out the control of subordinate phase state, in the time that important load household electrical appliances carry out control procedure, need send household electrical appliances duty to user and change prompting, in 1min, agree to, automatically control, if respond refusal or without response, do not carry out this control, after having controlled, carry out an electricity condition and upgrade, until P1<P2 meets the demands, enter next round control.

With reference to figure 3, based on the interactive intelligent control system of domestic electric appliances structural drawing of tou power price response, it is by smart-interactive terminal, controllable intelligent socket, intelligent electric meter acquisition module, community control center, grid control centre composition, smart-interactive terminal and controllable intelligent socket, community control center, intelligent electric meter data acquisition module is connected, wherein, electrical energy consumption analysis module is for the historical consumption habit analysis of household electrical appliances, family's electric control module can be used for household electrical appliances running status model construction, degree of controllability index calculates, family's electric control priority is determined, control algolithm simulation, LED touch display screen is for essential information typing, household electrical appliances running status shows, clock module is for determining system time, power module is supplied with for the electric weight of smart-interactive terminal, communication module is for uploading the household electrical appliances running state data being collected by controllable intelligent socket, reception sends to community control center by grid side and is transmitted to user's tou power price policy information, memory module is used for storing household electrical appliances running state data, degree of controllability index, household electrical appliances are dynamically controlled the data such as priority, alarm module is reminded for send household electrical appliances break-make to user, controllable intelligent socket is connected with smart-interactive terminal, for measuring the running status of household electrical appliances, upload running state data, reception control signal, realize Based Intelligent Control, intelligent electric meter acquisition module, be connected with intelligent electric meter, be used for gathering intelligent electric meter data, community control center is connected with grid control centre and user's smart-interactive terminal, be used for receiving storage grid side tou power price policy information, the household electrical appliances running state data of user's side, analyze the household electrical appliances operation characteristic of different user, issue an electric load demand is set, grid control centre is connected with community control center, be used for issuing tou power price policy information, guarantee network load balance.

Claims (2)

1. the interactive electrical appliances intelligent control method based on tou power price response, is characterized in that, it comprises the following steps:

1) according to household electrical appliances load type, household electrical appliances classification is independently set

Use the influence degree of user life is divided into important load household electrical appliances and controllable burden household electrical appliances by household electrical appliances according to household electrical appliances, described important load household electrical appliances refer to electric furnace, illumination class, once power-off meeting is to user's household electrical appliances that affect greatly of living; Described controllable burden household electrical appliances refer to air-conditioning, water heater electricity consumption time and rule is more stable and its short time power-off affects the household electrical appliances of resident's normal life hardly, and the load classification of the whole household electrical appliances that have for user is set and can independently be adjusted by user;

2), according to the historical household electrical appliances running state data of 30 days collecting, determine user's household electrical appliances use habit feature

User's household electrical appliances use habit feature: the electrical equipment of being taken over for use family by the use priority list of household electrical appliances uses preference; Characterized user's electrical equipment custom traffic coverage by the fuzzy electricity consumption period of household electrical appliances; The minimum duration being used by household electrical appliances characterizes the lowest limit value of electric operation time; The highest duration being used by household electrical appliances characterizes the lowest limit value of electric operation time, because user is larger with the household electrical appliances usage behavior otherness on off-day on weekdays, therefore, its electrical equipment use habit has dividing of working day and off-day, and the concrete solution procedure of the use habit feature of each household electrical appliances is as follows:

(1) choose user household electrical appliances usage behavior analyze sample

Historical household electrical appliances status data from memory module concentrates the household electrical appliances status data of choosing in nearly 30 days to divide as analyzing samples by working day and nonworkdays, the main attribute of its household electrical appliances running state data comprises household electrical appliances numbering, household electrical appliances title, the household electrical appliances opening time, the household electrical appliances shut-in time, the operate power of household electrical appliances etc., the status data of household electrical appliances is gathered by controllable intelligent socket, be transferred to smart-interactive terminal and temporarily store and send to the unified storage of intelligent control center of community, its acquisition interval is 1min;

(2) household electrical appliances of setting up based on user habit use priority mapping table

First, determine that household electrical appliances use priority, the household electrical appliances total amount of supposing this user is n, its household electrical appliances based on user habit use priority to be divided into n level, secondly, solve the frequency of utilization of each household electrical appliances, according to determined date type when the day before yesterday, be off-day or working day, calculating and obtaining the frequency of utilization of certain household electrical appliances i in sample data is f _i:

$f_i=\frac{d_i}{t_d}---\left(1\right)$

Wherein, d _ifor household electrical appliances are at t _daccess times in it, t _dfor the number of days by household electrical appliances usage behavior analyzing samples corresponding to date type on the same day, last, determine priority, set up mapping table, by f _icarry out ascending order arrangement, the priority of its corresponding household electrical appliances is respectively 1 to n, the priority maximum that n represents, and then set up priority mapping table;

(3) household electrical appliances that solve based on user habit use basic parameter

The sample data obtaining based on the first step, calculates and obtains the minimum electricity consumption duration Δ t of each household electrical appliances _{i, min}, maximum electricity consumption duration Δ t _{i, max}, average duration average electric power according to the electricity consumption period (t of each household electrical appliances _i,s, t _i,e) average time point t _{i, mid}carry out K-Means cluster analysis, algorithm steps is as follows:

1. selected characteristic vector, build sampling feature vectors collection, because the electricity consumption period otherness of same household electrical appliances is little, so, household electrical appliances use average time point can reflect user's household electrical appliances usage behavior, and same electrical equipment not same date has similar household electrical appliances operating characteristic, therefore choose the electricity consumption period average point t of household electrical appliances _{i, mid}as proper vector, using arranging as sampling feature vectors collection by time ascending order of the electricity consumption period average point of all samples of these household electrical appliances;

2. initialization, establishes sampling feature vectors and concentrates and have N average point, chooses k the average point of appearance of a day as initial cluster center, and cluster centre matrix is:

U _i＝[U _i,1,U _i,2,...,U _i,k] (2)

To j sample point t of data centralization household electrical appliances i _i,j, calculate the time difference distance of itself and each cluster centre, and category label under obtaining, computing formula is as follows:

$U_m\left(j\right)\&LeftArrow;\arg \underset{j}{\min }|t_{i,j}-U_{i,m}|,m=1,...,k;j=1,...,N---\left(3\right)$

In formula, U _m(j) representative sample point t _i,jwith k bunch nearest bunch;

3. recalculate k cluster centre, computing formula is as follows:

$U_{i,m}=\frac{1}{N_m}\underset{t_{i,j}\&Element;U_{i,m}}{\mathrm{\&Sigma;}}{t}_{i,j}---\left(4\right)$

In formula, N _mwith U _i,mfor cluster centre bunch number of samples;

4. double counting, until criterion function convergence, convergence judging basis is as follows:

$E=\underset{j=1}{\overset{k}{\mathrm{\&Sigma;}}}\underset{U_{i,m}}{\mathrm{\&Sigma;}}{|t-m_j|}^2---\left(5\right)$

In formula, E is the summation of the square error of all objects in sample set, and t is the point in space, m _ja bunch U _i,mmean value, the cluster centre matrix U of the household electrical appliances i finally obtaining _i, its average is pressed to average duration equivalent expansion, determines the fuzzy electricity consumption period matrix T of these household electrical appliances _i, this step entirety is realized by the electrical energy consumption analysis module of intelligent interaction end;

3), according to the tou power price policy information that receives electrical network, basic load range of needs corresponding to user's day part determined in prediction

Tou power price refers to that, according to system loading level, per period is carried out the electricity price regulation of different electricity charge standards, and tou power price can be expressed as

P _t＝P ₀·(1+P _r,t),t＝1,2,...,N _p (6)

In formula, t represents the period, N _pfor divide total time hop count, P _trepresent the toll-ratio in t moment, Dan Wei $/KWh, P ₀represent basic electricity price, P _r,trepresent the unsteady ratio of the relatively basic electricity price of the relative toll-ratio of day part, tou power price response is with by day part carried out to the embodiment of power load assignment constraint, its constraint condition is to meet the relatively less restriction of demand charge, judges as electric cost expenditure amount using the per day electric cost expenditure M of nearly 30 days;

Load distribution process is as follows:

(a), according to consumption habit feature, solve the standard power consumption Q that each household electrical appliances day part is corresponding _{b, i, t};

(b) solve the total load Q of day part _{sum, t}, solution formula is as follows:

$Q_{\mathrm{sum},t}=\underset{i=1}{\overset{\mathrm{Ne}}{\mathrm{\&Sigma;}}}{Q}_{b,i,t}---\left(7\right)$

In formula, Ne is household electrical appliances number;

(c) solve total electric cost expenditure M _s, solution formula is as follows:

$M_s=\underset{t=1}{\overset{N_p}{\mathrm{\&Sigma;}}}{P}_t---\left(8\right)$

(d) judge M _swhether exceed electric cost expenditure amount M, if exceed, according to household electrical appliances use order from low to high of priority to the service time of single household electrical appliances to the adjacent low electricity price period, mistiming was carried out appropriateness skew in one hour, and its skew duration is the mistiming, if without the adjacent low electricity price period, continue next household electrical appliances to judge, adjust after the operation period of household electrical appliances, repeated (b) and (c), until M _swithin electric cost expenditure amount M, the total load Q of day part _{sum, t}be the power load restriction upper limit that day part is corresponding, the total load Q of important load household electrical appliances _{imp, t}with Q _{sum, t}solve identical, i.e. its power load restriction lower limit;

4) according to asked user's household electrical appliances use habit feature and load setting, calculate household electrical appliances degree of controllability index, and determine the running status model of each household electrical appliances

The power on/off state of the controlled household electrical appliances of user is often relevant with user's satisfaction, and user's satisfaction is affected by its household electrical appliances service condition and consumption habit again simultaneously, adopts household electrical appliances degree of controllability index K _ccharacterize this impact of household electrical appliances real-time status on user power utilization behavior, its value is larger, user's satisfaction is lower, it is just controlled and is more necessary, according to 1) in household electrical appliances classification, the relevance of the on off operating mode of important load household electrical appliances and user's consumption habit is larger, and the on off operating mode of controllable burden household electrical appliances and household electrical appliances electric cost expenditure relevance are larger, adopt certain household electrical appliances i degree of controllability index K _c,icharacterize this household electrical appliances real-time status, user can be according to historical electricity consumption behavior, carries out tou power price response, and realizes intelligent appliance according to household electrical appliances degree of controllability and rationally control, and its computing formula is as follows:

$K_{c,i,t}=\left\{\begin{array}{cc}|1-\frac{\mathrm{\&Delta;T}}{\mathrm{\&Delta;}{t}_i}|& i\&Element;E_a\\ \frac{M_{n,i,t}-M_{s,i,t}}{M_{s,i,t}}& i\&Element;E_u\end{array}\right.---\left(9\right)$

In formula, Δ T is that important load household electrical appliances i has opened the period and 2 under the current period) in the fuzzy electricity consumption period matrix T of the household electrical appliances of trying to achieve _iin approach intersection period of period most, be 2) in the average electricity consumption duration of trying to achieve, M _{n, i, t}for the operation power charge value of t period household electrical appliances i, M _{s, i, t}if for household electrical appliances i at electricity charge value corresponding to minimum electricity price period, E _athe set of controllable burden household electrical appliances, E _uthe set of important load household electrical appliances, from formula (9), for important load household electrical appliances, user power utilization behavior and user power utilization custom are closely bound up, therefore, its degree of controllability index is described by its consumption habit change degree, degree of controllability index is larger, illustrate that user satisfaction is lower, the control priority that its corresponding household electrical appliances participate in tou power price response is higher, for controllable burden household electrical appliances, user power utilization behavior and electric cost expenditure are closely bound up, its degree of controllability index is described by its consumption habit change degree, degree of controllability index is larger, illustrate that user satisfaction is lower, the control priority that its corresponding household electrical appliances participate in tou power price response is higher, K _c,ipassed through standardization processing, the typicalness parameter that can be used as all household electrical appliances compares processing,

For the classification of load household electrical appliances, determine household electrical appliances running status model, household electrical appliances running status model is divided into two kinds, is respectively the running status model of controllable burden household electrical appliances and the running status model of important load household electrical appliances:

(1) the running status model of controllable burden household electrical appliances is as follows:

$S_{a,t}=\left\{\begin{array}{cc}0& Q_{n,t}<Q_{a,s}\\ 1& Q_{n,t}>Q_{a,s}+\mathrm{\&Delta;}{Q}_a\\ S_{a,t-1}& Q_{a,s}\&le;Q_{n,t}\&le;Q_{a,s}+\mathrm{\&Delta;}{Q}_a\end{array}\right.---\left(10\right)$

In formula, S _a,tfor the controllable burden household electrical appliances duty of t period, 0 represents off-position, and 1 represents "on" position, Q _n,trepresent the corresponding factor of influence instantaneous value of t period, Q _a,srepresent the highest setting value, Δ Q _afor setting range, for the air-conditioning of controllable burden household electrical appliances, its running status is relevant with Temperature Setting, in the time that room temperature is the highest, and air-conditioning energising, during lower than minimum, air-conditioning power-off, in setting range, keeps original state;

(2) the running status model of important load household electrical appliances is as follows:

$S_{u,t}=\left\{\begin{array}{cc}0& t\&NotElement;T_{i,t}\\ 1& t\&Element;T_{i,t}\end{array}\right.---\left(11\right)$

In formula, S _u,tfor the important load household electrical appliances duty of t period, 0 represents off-position, and 1 represents "on" position, T _i,texpression recently from the component of fuzzy electricity consumption period matrix, contrasts the micro-wave oven of important load household electrical appliances apart from the t period, and its running status is relevant with the historical consumption habit of user, should open in the historical electricity consumption period, otherwise, answer power-off;

5) according to household electrical appliances degree of controllability index, determine that household electrical appliances dynamically control priority and control algolithm, realize the Based Intelligent Control of household electrical appliances

For realizing rational electric control, need determine the control priority of household electrical appliances, introduce the electric control dynamic priority K of family, K can be with family's electricity condition real-time change, and the K value that certain household electrical appliances is corresponding is larger, more preferentially controls,

For household electrical appliances i, this household electrical appliances degree of controllability index K _c,ilarger, illustrate that user satisfaction is lower, its dynamic control priority is higher, therefore, can use the degree of controllability index K of household electrical appliances _c,icharacterize household electrical appliances and dynamically control priority K, concrete computation process is as follows:

Characterize the sampling function K of K _app(t) solution formula is as follows:

The solution formula of household electrical appliances pri function K (t) is as follows:

K(t)＝N(K _app(t)) (13)

In formula, for being less than the maximum integer of x, the ranking functions that N (x) is x, K _app(t) be the sampled value of the sign K of t period, K _c(t) be the household electrical appliances degree of controllability index of t period, first by household electrical appliances load type to degree of controllability index taking nmin as the sampling period, obtain the degree of controllability index K of household electrical appliances _c, then K to p kind controllable burden household electrical appliances _athe K of sequence and q kind important load household electrical appliances _usequence, and it is divided into respectively to p grade and q grade.Wherein, p represents that controllable burden man electric control priority is the highest, and q represents that important load man electric control priority is the highest, analyze known, when n hour, K value may cause the frequent variations of household electrical appliances power on/off state, affecting household electrical appliances normally works, in the time that n is larger, the update cycle of K value is longer, and this dynamic priority has certain hysteresis quality, user's satisfaction will be affected, therefore need choose reasonable n value, the household electrical appliances user habit feature based on user, makes n value get the minimum electricity consumption duration Δ t of each household electrical appliances _{i, min}carry out initial setting, user can independently adjust, and so not only makes household electrical appliances instruction character electric laws of use of the whole family, meanwhile, has avoided the hysteresis quality of controlling;

Family's electric control target is: under electrical network tou power price policy, ensure the normal electricity consumption life of user, reduce electricity charge spending as far as possible, according to the dynamic control priority K of household electrical appliances degree of controllability parameter identification household electrical appliances, and carry out from high to low control decision, if the household electrical appliances total load amount of certain period is P1, certain period power load restriction P2 of the prediction of response tou power price, control principle of the present invention is that first an electric control is carried out in the distribution of the load of the prediction based on tou power price and user habit, after based on consumption habit important load household electrical appliances are carried out to the control of secondary household electric, concrete control algolithm is as follows:

(e) the tou power price policy of reception next day of electrical network, calculates tou power price P _t, and according to historical consumption habit, calculate P2;

(f) according to household electrical appliances load type and household electrical appliances real-time running data calculating K _cwith K sequence, determine the dynamic priority of controllable burden household electrical appliances and important load household electrical appliances, judge the size of P1 and P2 in contrast;

(g) in the time of P1>P2, implementing the first stage controls, controllable burden household electrical appliances are controlled, according to household electrical appliances dynamic priority order from low to high, if these household electrical appliances are "on" position, make its power-off and upgrade P1, then repeat (f), if otherwise these household electrical appliances are in off-position, judge lower priority man electricity condition and carry out decision-making, until P1<P2 meets the demands, if still do not meet, to the control of important load man electric limit subordinate phase, according to the duty model of household electrical appliances, carry out the control of subordinate phase state, in the time that important load household electrical appliances carry out control procedure, according to household electrical appliances dynamic priority order from low to high, if these household electrical appliances are "on" position, need send household electrical appliances duty to user and change prompting, in 1min, nothing is responded or agrees to, automatically control, if respond refusal, do not carry out this control, after control completes, upgrade P1, then repeat (f), if otherwise these household electrical appliances are in off-position, judge lower priority man electricity condition and carry out decision-making, until P1<P2 meets the demands,

(h), in the time of P1<P2, according to the duty model of household electrical appliances, carry out the control of subordinate phase state, in the time that important load household electrical appliances carry out control procedure, need send household electrical appliances duty to user and change prompting, in 1min, agree to, automatically control, if respond refusal or without response, do not carry out this control, after having controlled, carry out an electricity condition and upgrade, until P1<P2 meets the demands, enter next round control.

2. the interactive intelligent control system of domestic electric appliances based on tou power price response, it is characterized in that, it is by smart-interactive terminal, controllable intelligent socket, intelligent electric meter acquisition module, community control center, grid control centre composition, smart-interactive terminal and controllable intelligent socket, community control center, intelligent electric meter data acquisition module is connected, wherein, electrical energy consumption analysis module is for the historical consumption habit analysis of household electrical appliances, family's electric control module can be used for household electrical appliances running status model construction, degree of controllability index calculates, family's electric control priority is determined, control algolithm simulation, LED touch display screen is for essential information typing, household electrical appliances running status shows, clock module is for determining system time, power module is supplied with for the electric weight of smart-interactive terminal, communication module is for uploading the household electrical appliances running state data being collected by controllable intelligent socket, reception sends to community control center by grid side and is transmitted to user's tou power price policy information, memory module is used for storing household electrical appliances running state data, degree of controllability index, household electrical appliances are dynamically controlled the data such as priority, alarm module is reminded for send household electrical appliances break-make to user, controllable intelligent socket is connected with smart-interactive terminal, for measuring the running status of household electrical appliances, upload running state data, reception control signal, realize Based Intelligent Control, intelligent electric meter acquisition module, be connected with intelligent electric meter, be used for gathering intelligent electric meter data, community control center is connected with grid control centre and user's smart-interactive terminal, be used for receiving storage grid side tou power price policy information, the household electrical appliances running state data of user's side, analyze the household electrical appliances operation characteristic of different user, issue an electric load demand is set, grid control centre is connected with community control center, be used for issuing tou power price policy information, guarantee network load balance.