CN109214622A - A kind of control method and system of household electrical appliance - Google Patents

A kind of control method and system of household electrical appliance Download PDF

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CN109214622A
CN109214622A CN201710522832.3A CN201710522832A CN109214622A CN 109214622 A CN109214622 A CN 109214622A CN 201710522832 A CN201710522832 A CN 201710522832A CN 109214622 A CN109214622 A CN 109214622A
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electrical appliance
household electrical
cloud generator
rule
xbi
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刘尧
李德智
何胜
何伟
吴倩
李彬
石坤
陈宋宋
卜凡鹏
潘明明
董明宇
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STATE GRID JIANGXI ELECTRIC POWER Co
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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STATE GRID JIANGXI ELECTRIC POWER Co
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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Abstract

The present invention relates to a kind of control method of household electrical appliance and systems, the described method includes: judging whether customer charge amount is more than specified value, if, then using the operating status of current electricity prices and current household electrical appliance as the input quantity of pre-set Cloud Model Controller, the regulation amount for obtaining household electrical appliance adjusts household electrical appliance, if it is not, then updating customer charge amount rejudges whether customer charge amount is more than specified value；Technical solution provided by the invention, intelligent optimal control is carried out to household electrical appliance using cloud model, the use time of different household electrical appliance is set respectively to be staggered, to avoid overall peak of power consumption, peak time can either be alleviated uses Voltage force, and can be improved resource utilization, and in addition to this big advantage of cloud model regulation is steady, the power grid peak-valley ratio after adjusting can be made to reduce, network load will not be increased suddenly or reduce network load.

Description

A kind of control method and system of household electrical appliance
Technical field
The present invention relates to home wiring control fields, and in particular to a kind of control method and system of household electrical appliance.
Background technique
As electric energy substitution increasingly causes the concern of people, household electrical appliance are all increasing year by year in quantity and capacity, The power consumption of resident is more and more.As pith very important in electricity consumption link, resident's household electrical appliance It is the rich and influential family for consuming electric energy, there is greatly regulation potentiality and important research significance.Resident's household electrical appliance load according to It can be divided into controllable burden, transferable load etc. with electrical characteristics, and wherein resident's controllable burden accounts for about the 60% of total load.
In order to meet the power demand of resident, traditional solution is construction thermal power plant, however adds fire Power plant will cause consuming excessively for environmental pollution and resource.Intelligent power technology is a part of smart grid, passes through utilization Information and Communication Technology, the real-time, interactive that can be realized power grid and user respond, and realize the intelligent and reasonable of home intelligent power Change, improves power consumption efficiency, promotes energy-saving and emission-reduction.
Household electrical appliance intelligent optimized control method is the important technical that domestic consumer participates in intelligent power link, can The runing time section of household electrical appliance is adjusted, household electricity load and expense are reduced, finally to the load peak, steady for reducing power grid The fluctuation of power grid power load contributes, currently, the household electrical appliance of resident are not to require at each moment in unlatching State, therefore lack the method that intelligent optimal control is carried out to resident's household electrical appliance.
Summary of the invention
The present invention provides the control method and control system of a kind of household electrical appliance, and the purpose is to utilize cloud model to household electric Device carries out intelligent optimal control, and the use time of different household electrical appliance is made respectively to be staggered, can to avoid overall peak of power consumption Enough alleviate peak time uses Voltage force, and can be improved resource utilization, and in addition to this big advantage of cloud model regulation is Steadily, the power grid peak-valley ratio after adjusting can be made to reduce, network load will not be increased suddenly or reduce network load.
The purpose of the present invention is adopt the following technical solutions realization:
A kind of control method of household electrical appliance, it is improved in that including:
Judge whether customer charge amount is more than specified value, if so, by the operation shape of current electricity prices and current household electrical appliance Input quantity of the state as pre-set Cloud Model Controller, the regulation amount for obtaining household electrical appliance adjusts household electrical appliance, if it is not, then It updates customer charge amount and rejudges whether customer charge amount is more than specified value.
Preferably, the household electrical appliance are in the defined time to meet the electric appliance of power demand after multiple start and stop.
Preferably, the pre-set Cloud Model Controller includes: n double condition list Rule Generators and weighted average Unit, the n double condition list Rule Generators are connect with the weighted average unit respectively, wherein n is that if-then is qualitative Regular quantity.
Further, double condition list Rule Generators include: two-dimentional Normal Cloud Generator and corresponding connection One-dimensional backward cloud generator.
Further, the numerical characteristic (E of the former piece qualitative rule of i-th of two-dimentional Normal Cloud Generator is presetxai, Enai,Heai) and (Exbi,Enbi,Hebi) and i-th of one-dimensional backward cloud generator consequent qualitative rule numerical characteristic (Exci,Enci,Heci), wherein Exai、ExbiAnd ExciThe operating status of household electrical appliance in respectively i-th if-then qualitative rule The expectation of normalized value, the expectation of electricity price normalized value and household electrical appliance regulated quantity normalized value expectation, Enai、EnbiAnd Enci Respectively Exai、ExbiAnd ExciEntropy, Heai、HebiAnd HeciRespectively Exai、ExbiAnd ExciSuper entropy, i ∈ [1, n].
Further, described using the operating status of current electricity prices and current household electrical appliance as pre-set cloud model control The input quantity of device processed, the regulation amount for obtaining household electrical appliance adjust household electrical appliance, comprising:
Definite value amount (x is inputted to i-th of two-dimentional Normal Cloud Generator1,x2), wherein x1For the operation shape of current household electrical appliance State normalized value, x2For current electricity prices normalized value；
Described i-th two-dimentional Normal Cloud Generator is generated with EnaiFor expectation, HeaiFor the normal random number E of mean square deviationnai', It generates with EnbiFor expectation, HebiFor the normal random number E of mean square deviationnbi', determine the output quantity of i-th of two-dimentional Normal Cloud GeneratorAnd by μiIt is sent to its i-th of one-dimensional backward cloud generator being correspondingly connected with；
I-th of one-dimensional backward cloud generator is generated with EnciFor expectation, HeciFor the normal random number E of mean square deviationnci', And the output quantity x of i-th of one-dimensional backward cloud generator is determined by one-dimensional backward cloud generator rulebi:
The weighted average unit obtains house using Weighted Average Algorithm according to the output quantity of each one-dimensional backward cloud generator The regulation amount of electrical appliance.
Further, the one-dimensional backward cloud generator rule includes:
If x1≤ExaiAnd x2≤ExbiOr x1> ExaiAnd x2> Exbi, then
If x1≤ExaiAnd x2> ExbiOr x1> ExaiAnd x2≤Exbi, then xbi=(xbi1μ1+xbi2μ2)/(μ1+μ2), In,
A kind of control system of household electrical appliance, it is improved in that the system comprises:
Judgment module, for judging whether customer charge amount is more than specified value；
Cloud model control module, if being more than specified value for customer charge amount, by current electricity prices and current household electrical appliance Operating status as input, obtain household electrical appliance regulation amount adjust household electrical appliance；
Load update module, if being updated described in customer charge amount and return for customer charge amount not above specified value Judgment module.
Preferably, the cloud model control module includes: n double condition list Rule Generators and weighted average unit, institute It states n double condition list Rule Generators to connect with the weighted average unit respectively, wherein n is if-then qualitative rule number Amount, double condition list Rule Generators include: the one-dimensional reverse cloud generation of two-dimentional Normal Cloud Generator and corresponding connection Device.
Further, the cloud model control module includes:
Preset the numerical characteristic (E of the former piece qualitative rule of i-th of two-dimentional Normal Cloud Generatorxai,Enai,Heai) and (Exbi,Enbi,Hebi) and i-th of one-dimensional backward cloud generator consequent qualitative rule numerical characteristic (Exci,Enci,Heci), Wherein, Exai、ExbiAnd ExciThe phase of the operating status normalized value of household electrical appliance in respectively i-th if-then qualitative rule It hopes, the expectation of the expectation of electricity price normalized value and household electrical appliance regulated quantity normalized value, Enai、EnbiAnd EnciRespectively Exai、Exbi And ExciEntropy, Heai、HebiAnd HeciRespectively Exai、ExbiAnd ExciSuper entropy, i ∈ [1, n], n be if-then qualitative rule number Amount；
Definite value amount (x is inputted to i-th of two-dimentional Normal Cloud Generator1,x2), wherein x1For the operation shape of current household electrical appliance State normalized value, x2For current electricity prices normalized value；
Described i-th two-dimentional Normal Cloud Generator is generated with EnaiFor expectation, HeaiFor the normal random number E of mean square deviationnai', It generates with EnbiFor expectation, HebiFor the normal random number E of mean square deviationnbi', determine the output quantity of i-th of two-dimentional Normal Cloud GeneratorAnd by μiIt is sent to its i-th of one-dimensional backward cloud generator being correspondingly connected with；
I-th of one-dimensional backward cloud generator is generated with EnciFor expectation, HeciFor the normal random number E of mean square deviationnci', And the output quantity x of i-th of one-dimensional backward cloud generator is determined by one-dimensional backward cloud generator rulebi:
The weighted average unit obtains house using Weighted Average Algorithm according to the output quantity of each one-dimensional backward cloud generator The regulation amount of electrical appliance.
Beneficial effects of the present invention:
Technical solution provided by the invention, the electricity consumption behavior based on resident's household electrical appliance, under different Price Mechanisms, Household Appliance optimizing control models are proposed, the intelligence of different Household Appliance arrangements of time is realized, rationalizes；It should Technical solution can carry out intelligent optimal control to household electrical appliance using cloud model, make the use time of different household electrical appliance respectively It is staggered, to avoid overall peak of power consumption, can either alleviate peak time uses Voltage force, and can be improved resource utilization, In addition to this big advantage of cloud model regulation is steady, and the power grid peak-valley ratio after adjusting can be made to reduce, will not be increased suddenly Bulk power grid load reduces network load, effectively reduces resident's electricity consumption and spends, reduces electricity peak period peak value, due to control The operating status of current household electrical appliance is considered in the process, therefore is reduced electricity consumption and interrupted to the electricity consumption comfort degree of user, Entire control process is more steady, improves flexibility.The technical solution can be used for the regulation of single household electrical appliance, it can also be used to A variety of household electrical appliance combined running controls.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the control method of household electrical appliance of the present invention；
Fig. 2 is that double condition list Rule Generators of 5 if-then qualitative rules and weighted average are single in the embodiment of the present invention The structural schematic diagram of member；
Fig. 3 is a kind of structural schematic diagram of the control system of household electrical appliance of the present invention.
Specific embodiment
It elaborates with reference to the accompanying drawing to a specific embodiment of the invention.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art All other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
A kind of control method of household electrical appliance provided by the invention, as shown in Figure 1, comprising:
101. judging whether customer charge amount is more than specified value；
102. if so, being controlled the operating status of current electricity prices and current household electrical appliance as pre-set cloud model The input quantity of device, the regulation amount for obtaining household electrical appliance adjust household electrical appliance；
103. if it is not, then updating customer charge amount rejudges whether customer charge amount is more than specified value.
Wherein, the household electrical appliance are that can meet the electric appliance of power demand in the defined time after multiple start and stop.
The pre-set Cloud Model Controller includes: n double condition list Rule Generators and weighted average unit, institute It states n double condition list Rule Generators to connect with the weighted average unit respectively, wherein n is if-then qualitative rule number Amount.
Such as: the double condition list Rule Generators and weighted average unit of 5 if-then qualitative rules, as shown in Figure 2；
Double condition list Rule Generators include: the one-dimensional reverse cloud of two-dimentional Normal Cloud Generator and corresponding connection Generator.
Wherein, the basis of uncertain reasoning is uncertainty knowledge, uses fA in the embodiment of the present inventioniandBjthenCkShape The qualitative rule of formula expresses uncertainty knowledge, wherein i=1-5, j=1-5, k=1-5, A and B are natural language descriptions Qualitativing concept, such as: temperature is low and pressure is small, then motor speed is slow, and A and B are known as regular former piece, and C is consequent, usually Be one as a result, cloud Rule Generator by given input by the uncertain reasoning mode based on cloud model, obtain determining defeated It is worth out；
Further, the numerical characteristic (E of the former piece qualitative rule of i-th of two-dimentional Normal Cloud Generator is presetxai, Enai,Heai) and (Exbi,Enbi,Hebi) and i-th of one-dimensional backward cloud generator consequent qualitative rule numerical characteristic (Exci,Enci,Heci), wherein Exai、ExbiAnd ExciThe operating status of household electrical appliance in respectively i-th if-then qualitative rule The expectation of normalized value, the expectation of electricity price normalized value and household electrical appliance regulated quantity normalized value expectation, Enai、EnbiAnd Enci Respectively Exai、ExbiAnd ExciEntropy, Heai、HebiAnd HeciRespectively Exai、ExbiAnd ExciSuper entropy, i ∈ [1, n].
In embodiment provided by the invention, defining cloud generator input is that household electrical appliance state s and power grid issue electricity price e, Output control amount is c.In practical applications, either household electrical appliance state s or power grid issue electricity price e, are all accurate defeated Enter value, using two-dimension cloud model generator, first has to make to input cloud.If s ∈ S=[- 1,1], e ∈ E=[- 1,1], c ∈ C= [- 1,1] defines 5 normal cloud model S1-S5, E1-E5, C1-C5, cloud model (E respectively on S, E, ECX,En,He) table Show, EX,En,HeRespectively indicate the expectation of cloud model, entropy and super entropy.
Membership clouds construction and its qualitativing concept are as follows:
Negative big-the qualitativing concept of S1 state deviation is as follows: (- 1,0.1,0.02)
It is as follows that S2 state deviation bears small-qualitativing concept: (- 0.5,0.1,0.02)；
S3 state deviation is that zero-qualitativing concept is as follows: and (0,0.1,0.02) S4 state deviation is just small-and qualitativing concept is as follows: (0.5,0.1,0.02) S5 state deviation is honest-and qualitativing concept is as follows: (1,0.1,0.02)
Negative big-the qualitativing concept of E1 electricity price is as follows: (- 1,0.1,0.02)
It is as follows that E2 electricity price bears small-qualitativing concept: (- 0.5,0.1,0.02) E3 electricity price is that zero-qualitativing concept is as follows: (0, 0.1,0.02)
E4 electricity price is just small-and qualitativing concept is as follows: and (0.5,0.1,0.02) E5 electricity price is honest-and qualitativing concept is as follows: (1, 0.1,0.02)
Negative big-the qualitativing concept of C1 control amount is as follows: it is as follows that (- 1,0.1,0.02) C2 control amount bears small-qualitativing concept: (- 0.5,0.1,0.02)；
C3 control amount is that zero-qualitativing concept is as follows: (0,0.1,0.02)
C4 control amount is just small-and qualitativing concept is as follows: and (0.5,0.1,0.02) C5 control amount is honest-and qualitativing concept is as follows: (1,0.1,0.02) wherein, S1, S5, E1, E5, C1, C5 are the expression of half normal state membership clouds, remaining is indicated with normal state membership clouds.
The obtained parameter curve that is subordinate to from left to right corresponds to domain S respectively, and 5 membership clouds defined on E, C are defined as The mechanism for the two-dimension cloud model controller that number 1,2,3,4,5 is constructed are as follows: when given controller inputs S and E, directly Its corresponding membership clouds is respectively corresponded, degree of certainty u is obtained after the effect by two-dimentional former piece cloud, then corresponding control amount C output is subordinate to Belong to cloud parameter curve, by the effect of consequent cloud using inverse cloud algorithm, the desired value that reverse cloud is exported is as controller Output.
Two-dimension cloud model controller control rule includes 25 altogether:
Very low (temperature is low) the then subsequent time electric appliance of the very low and electric operation state of if electricity price is turned up 50%；
The lower then subsequent time electric appliance of the very low and electric operation state of if electricity price is turned up 50%；
The moderate then subsequent time electric appliance of the very low and electric operation state of if electricity price is turned up 25%；
The very low higher then subsequent time electric appliance of and electric operation state of if electricity price remains unchanged；
The very low very high then subsequent time electric appliance of and electric operation state of if electricity price turns down 25%；
The very low then subsequent time electric appliance of the lower and electric operation state of if electricity price is turned up 50%；
The lower then subsequent time electric appliance of the lower and electric operation state of if electricity price is turned up 25%；
The moderate then subsequent time electric appliance of the lower and electric operation state of if electricity price is turned up 25%；
The higher then subsequent time electric appliance of the lower and electric operation state of if electricity price turns down 25%；
The very high hen subsequent time electric appliance of the lower and electric operation state of if electricity price turns down 25%；
Very low (temperature is low) the then subsequent time electric appliance of the moderate and electric operation state of if electricity price is turned up 25%；
The lower then subsequent time electric appliance of the moderate and electric operation state of if electricity price remains unchanged；
The moderate then subsequent time electric appliance of the moderate and electric operation state of if electricity price remains unchanged；
The higher then subsequent time electric appliance of the moderate and electric operation state of if electricity price turns down 50%；
The very high hen subsequent time electric appliance of the moderate and electric operation state of if electricity price turns down 50%；
Very low (temperature is low) the then subsequent time electric appliance of the higher and electric operation state of if electricity price remains unchanged；
The lower then subsequent time electric appliance of the higher and electric operation state of if electricity price turns down 25%；
The moderate then subsequent time electric appliance of the higher and electric operation state of if electricity price turns down 25%；
The higher then subsequent time electric appliance of the higher and electric operation state of if electricity price turns down 50%；
The very high hen subsequent time electric appliance of the higher and electric operation state of if electricity price turns down 50%；
Very low (temperature is low) the then subsequent time electric appliance of the very high and electric operation state of if electricity price turns down 25%；
The very high lower then subsequent time electric appliance of and electric operation state of if electricity price turns down 25%；
The very high moderate then subsequent time electric appliance of and electric operation state of if electricity price turns down 50%；
The very high higher then subsequent time electric appliance of and electric operation state of if electricity price turns down 50%；
The very high very high hen subsequent time electric appliance of and electric operation state of if electricity price turns down 50%；
It is expressed in matrix as:
For regular former piece, number 1,2,3,4,5 respectively corresponds the section of membership clouds: it is very low, it is lower, and it is moderate, it is higher, very It is high；For consequent, number 1,2,3,4,5 respectively corresponds the range of regulated quantity: -50%, -25%, 0 ,+25% ,+50%； Wherein, "+" raising is represented, "-" represent reduction.
Further, the step 102, comprising:
Definite value amount (x is inputted to i-th of two-dimentional Normal Cloud Generator1,x2), wherein x1For the operation shape of current household electrical appliance State normalized value, x2For current electricity prices normalized value；
Described i-th two-dimentional Normal Cloud Generator is generated with EnaiFor expectation, HeaiFor the normal random number E of mean square deviationnai', It generates with EnbiFor expectation, HebiFor the normal random number E of mean square deviationnbi', determine the output quantity of i-th of two-dimentional Normal Cloud GeneratorAnd by μiIt is sent to its i-th of one-dimensional backward cloud generator being correspondingly connected with；
I-th of one-dimensional backward cloud generator is generated with EnciFor expectation, HeciFor the normal random number E of mean square deviationnci', And the output quantity x of i-th of one-dimensional backward cloud generator is determined by one-dimensional backward cloud generator rulebi:
The weighted average unit obtains house using Weighted Average Algorithm according to the output quantity of each one-dimensional backward cloud generator The regulation amount of electrical appliance adjusts household electrical appliance.
Wherein, the one-dimensional backward cloud generator rule includes:
If x1≤ExaiAnd x2≤ExbiOr x1> ExaiAnd x2> Exbi, then
If x1≤ExaiAnd x2> ExbiOr x1> ExaiAnd x2≤Exbi, then xbi=(xbi1μ1+xbi2μ2)/(μ1+μ2), In,
The present invention also provides a kind of control systems of household electrical appliance, as shown in figure 3, the system comprises:
Judgment module, for judging whether customer charge amount is more than specified value；
Cloud model control module, if being more than specified value for customer charge amount, by current electricity prices and current household electrical appliance Operating status as input, obtain household electrical appliance regulation amount adjust household electrical appliance；
Load update module, if being updated described in customer charge amount and return for customer charge amount not above specified value Judgment module.
Wherein, the household electrical appliance are that can meet the electric appliance of power demand in the defined time after multiple start and stop.
Specifically, the cloud model control module includes: n double condition list Rule Generators and weighted average unit, institute It states n double condition list Rule Generators to connect with the weighted average unit respectively, wherein n is if-then qualitative rule number Amount, double condition list Rule Generators include: the one-dimensional reverse cloud generation of two-dimentional Normal Cloud Generator and corresponding connection Device.
The cloud model control module includes:
Preset the numerical characteristic (E of the former piece qualitative rule of i-th of two-dimentional Normal Cloud Generatorxai,Enai,Heai) and (Exbi,Enbi,Hebi) and i-th of one-dimensional backward cloud generator consequent qualitative rule numerical characteristic (Exci,Enci,Heci), Wherein, Exai、ExbiAnd ExciThe phase of the operating status normalized value of household electrical appliance in respectively i-th if-then qualitative rule It hopes, the expectation of the expectation of electricity price normalized value and household electrical appliance regulated quantity normalized value, Enai、EnbiAnd EnciRespectively Exai、Exbi And ExciEntropy, Heai、HebiAnd HeciRespectively Exai、ExbiAnd ExciSuper entropy, i ∈ [1, n], n be if-then qualitative rule number Amount；
Definite value amount (x is inputted to i-th of two-dimentional Normal Cloud Generator1,x2), wherein x1For the operation shape of current household electrical appliance State normalized value, x2For current electricity prices normalized value；
Described i-th two-dimentional Normal Cloud Generator is generated with EnaiFor expectation, HeaiFor the normal random number E of mean square deviationnai', It generates with EnbiFor expectation, HebiFor the normal random number E of mean square deviationnbi', determine the output quantity of i-th of two-dimentional Normal Cloud GeneratorAnd by μiIt is sent to its i-th of one-dimensional backward cloud generator being correspondingly connected with；
I-th of one-dimensional backward cloud generator is generated with EnciFor expectation, HeciFor the normal random number E of mean square deviationnci', And the output quantity x of i-th of one-dimensional backward cloud generator is determined by one-dimensional backward cloud generator rulebi:
The weighted average unit obtains house using Weighted Average Algorithm according to the output quantity of each one-dimensional backward cloud generator The regulation amount of electrical appliance adjusts household electrical appliance.
Wherein, the one-dimensional backward cloud generator rule includes:
If x1≤ExaiAnd x2≤ExbiOr x1> ExaiAnd x2> Exbi, then
If x1≤ExaiAnd x2> ExbiOr x1> ExaiAnd x2≤Exbi, then xbi=(xbi1μ1+xbi2μ2)/(μ1+μ2), In,
Finally it should be noted that: the above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, to the greatest extent Invention is explained in detail referring to above-described embodiment for pipe, it should be understood by those ordinary skilled in the art that: still It can be with modifications or equivalent substitutions are made to specific embodiments of the invention, and without departing from any of spirit and scope of the invention Modification or equivalent replacement, should all cover within the scope of the claims of the present invention.

Claims (10)

1. a kind of control method of household electrical appliance, which is characterized in that the described method includes:
Judge whether customer charge amount is more than specified value, if so, the operating status of current electricity prices and current household electrical appliance is made For the input quantity of pre-set Cloud Model Controller, the regulation amount for obtaining household electrical appliance adjusts household electrical appliance, if it is not, then updating Customer charge amount rejudges whether customer charge amount is more than specified value.
2. the method as described in claim 1, which is characterized in that the household electrical appliance are full in the defined time after multiple start and stop The electric appliance of sufficient power demand.
3. the method as described in claim 1, which is characterized in that the pre-set Cloud Model Controller includes: n double items Part list Rule Generator and weighted average unit, the double condition list Rule Generators of the n respectively with the weighted average unit Connection, wherein n is if-then qualitative rule quantity.
4. method as claimed in claim 3, which is characterized in that double condition list Rule Generators include: two-dimentional positive cloud Generator and the one-dimensional backward cloud generator of corresponding connection.
5. method as claimed in claim 4, which is characterized in that the former piece for presetting i-th of two-dimentional Normal Cloud Generator is fixed Property rule numerical characteristic (Exai,Enai,Heai) and (Exbi,Enbi,Hebi) and i-th of one-dimensional backward cloud generator consequent Numerical characteristic (the E of qualitative rulexci,Enci,Heci), wherein Exai、ExbiAnd ExciIn respectively i-th if-then qualitative rule The expectation of the operating status normalized value of household electrical appliance, the expectation of electricity price normalized value and household electrical appliance regulated quantity normalized value It is expected that Enai、EnbiAnd EnciRespectively Exai、ExbiAnd ExciEntropy, Heai、HebiAnd HeciRespectively Exai、ExbiAnd ExciSuper entropy, i∈[1,n]。
6. method as claimed in claim 5, which is characterized in that the operating status by current electricity prices and current household electrical appliance As the input quantity of pre-set Cloud Model Controller, the regulation amount for obtaining household electrical appliance adjusts household electrical appliance, comprising:
Definite value amount (x is inputted to i-th of two-dimentional Normal Cloud Generator1,x2), wherein x1Operating status for current household electrical appliance is returned One change value, x2For current electricity prices normalized value；
Described i-th two-dimentional Normal Cloud Generator is generated with EnaiFor expectation, HeaiFor the normal random number E of mean square deviationnai', it generates With EnbiFor expectation, HebiFor the normal random number E of mean square deviationnbi', determine the output quantity of i-th of two-dimentional Normal Cloud GeneratorAnd by μiIt is sent to its i-th of one-dimensional backward cloud generator being correspondingly connected with；
I-th of one-dimensional backward cloud generator is generated with EnciFor expectation, HeciFor the normal random number E of mean square deviationnci', and press One-dimensional backward cloud generator rule determines the output quantity x of i-th of one-dimensional backward cloud generatorbi:
The weighted average unit obtains household electric using Weighted Average Algorithm according to the output quantity of each one-dimensional backward cloud generator The regulation amount of device.
7. method as claimed in claim 6, which is characterized in that the one-dimensional backward cloud generator rule includes:
If x1≤ExaiAnd x2≤ExbiOr x1> ExaiAnd x2> Exbi, then
If x1≤ExaiAnd x2> ExbiOr x1> ExaiAnd x2≤Exbi, then xbi=(xbi1μ1+xbi2μ2)/(μ1+μ2), wherein
8. a kind of control system of household electrical appliance, which is characterized in that the system comprises:
Judgment module, for judging whether customer charge amount is more than specified value；
Cloud model control module, if being more than specified value for customer charge amount, by the fortune of current electricity prices and current household electrical appliance For row state as input, the regulation amount for obtaining household electrical appliance adjusts household electrical appliance；
Load update module, if updating customer charge amount not above specified value for customer charge amount and returning to the judgement Module.
9. system as claimed in claim 8, which is characterized in that the cloud model control module include: the double condition single gauges of n then Generator and weighted average unit, the n double condition list Rule Generators are connect with the weighted average unit respectively, In, n is if-then qualitative rule quantity, and double condition list Rule Generators include: two-dimentional Normal Cloud Generator and right with it The one-dimensional backward cloud generator that should be connected.
10. system as claimed in claim 9, which is characterized in that the cloud model control module is used for:
Preset the numerical characteristic (E of the former piece qualitative rule of i-th of two-dimentional Normal Cloud Generatorxai,Enai,Heai) and (Exbi, Enbi,Hebi) and i-th of one-dimensional backward cloud generator consequent qualitative rule numerical characteristic (Exci,Enci,Heci), wherein Exai、ExbiAnd ExciThe expectation of the operating status normalized value of household electrical appliance, electricity price in respectively i-th if-then qualitative rule The expectation of normalized value and the expectation of household electrical appliance regulated quantity normalized value, Enai、EnbiAnd EnciRespectively Exai、ExbiAnd Exci's Entropy, Heai、HebiAnd HeciRespectively Exai、ExbiAnd ExciSuper entropy, i ∈ [1, n], n be if-then qualitative rule quantity；
Definite value amount (x is inputted to i-th of two-dimentional Normal Cloud Generator1,x2), wherein x1Operating status for current household electrical appliance is returned One change value, x2For current electricity prices normalized value；
Described i-th two-dimentional Normal Cloud Generator is generated with EnaiFor expectation, HeaiFor the normal random number E of mean square deviationnai', it generates With EnbiFor expectation, HebiFor the normal random number E of mean square deviationnbi', determine the output quantity of i-th of two-dimentional Normal Cloud GeneratorAnd by μiIt is sent to its i-th of one-dimensional backward cloud generator being correspondingly connected with；
I-th of one-dimensional backward cloud generator is generated with EnciFor expectation, HeciFor the normal random number E of mean square deviationnci', and press One-dimensional backward cloud generator rule determines the output quantity x of i-th of one-dimensional backward cloud generatorbi:
The weighted average unit obtains household electric using Weighted Average Algorithm according to the output quantity of each one-dimensional backward cloud generator The regulation amount of device.
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