CN106096778A - A kind of household electricity planning system based on tou power price and step price form and method - Google Patents
A kind of household electricity planning system based on tou power price and step price form and method Download PDFInfo
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- CN106096778A CN106096778A CN201610410009.9A CN201610410009A CN106096778A CN 106096778 A CN106096778 A CN 106096778A CN 201610410009 A CN201610410009 A CN 201610410009A CN 106096778 A CN106096778 A CN 106096778A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a kind of household electricity planning system based on tou power price and step price form and method, it is characterized in that including: user power utilization metering module, RFDC and transport module, computation analysis module, visualization output control with feedback module, equipment and performs module.The present invention can take into full account the actual need for electricity of each resident and economize on electricity target from step price and tou power price angle, thus improve power consumption efficiency and make power savings maximize.
Description
Technical field
Electricity consumption planning field of the present invention, a kind of based on tou power price with the household electricity of step price form
Planning system and method.
Background technology
Step price refers to that the power consumption per family in some cycles is set to several ladder segmentations or stepping is carried out
Price calculates a kind of electricity price form of electricity cost.China carries out in an all-round way in resident living power utility field from July, 2012 rank
Ladder electricity price, the most domestic each province and city are all updated in the actual application of step price and optimize step price form, fully
Consider the application combination of step price and various forms dynamic electricity price, it is intended to guide domestic consumer to improve electricity consumption from Demand-side and practise
Used, improve power consumption efficiency.Wherein tou power price is the most extensive with the combination application of step price, is mainly reflected in peak and valley time electricity
Valency and the application in step price of the tou power price in season.Peak-valley TOU power price and tou power price in season are the loads according to electrical network
Characteristic, was divided into one day peak, paddy, equality period, within 1 year, is divided into peak, paddy, regular season, by by low-valley interval or electricity in season
The price signal that valency is suitably turned down, peak period or seasonal electricity price are suitably heightened to guide user take rational power structure and
Mode, it is achieved peak load shifting and the target of balance load in season.Therefore, how use is improved under the complicated electricity price form of multiple combination
Family power consumption efficiency becomes problem in the urgent need to address.
Current existing electricity consumption planning on the one hand based on power grid enterprises, from macroscopic perspective consider demand response effect and
Evaluate, do not account for the actual need for electricity of each resident and economize on electricity target, lack towards individual residential households user autonomous
Formulate the system and method for household electricity planning.On the one hand, often exist due to resident and tariff structure is not known about, electricity price
The unapprehended problem of mechanism, existing system and method are difficult to solve resident in the face of asking that complicated electricity price form timely responds to
Topic, causes demand response to be unable to reach Expected Results, it is difficult to realize economize on electricity target and the maximization of power consumption efficiency.On the other hand,
Existing system and method do not account for the use in the case of existing step price and Peak-valley TOU power price, tou power price combination in season
Electricity planning, ignores step price to the effect of contraction of household electricity and Peak-valley TOU power price, tou power price in season to home-use
The Accommodation of electricity, does not accounts for the comprehensive electricity consumption planning that user is long-term, causes the long-term probability implemented of electricity consumption planning and use
Family satisfaction reduces.
Summary of the invention
In place of the present invention solves above-mentioned the deficiencies in the prior art, it is provided that a kind of electric based on tou power price and ladder
The household electricity planning system of valency form and method, to taking into full account each from step price and tou power price angle
The actual need for electricity of resident and economize on electricity target, thus improve power consumption efficiency and make power savings maximize.
In order to achieve the above object, the technical solution adopted in the present invention is:
The feature of a kind of household electricity planning system based on tou power price and step price form of the present invention is to include: use
Family Electro-metering module, RFDC and transport module, computation analysis module, visualization output and feedback module, equipment
Control and perform module;
Described user power utilization metering module, is connected with household electrical appliance, and for Real-time Collection user power utilization data;Described use
Family electricity consumption data include: user's real-time electricity consumption total amount and each household electrical appliance model specification, per hour power consumption, with electrical feature and
Use electricity condition;
Described RFDC and transport module, be connected with power grid enterprises, is used for receiving electric power data, described electric power number
According to including: step price charge standard, tou power price information in season, Peak-valley TOU power price information, weather conditions information, Yong Husuo
In region year, the moon, every per day electricity consumption data;
Described RFDC is also connected with user power utilization metering module with transport module, is used for receiving described user and uses
Electricity data, and described user power utilization data and described electric power data are sent to described computational analysis mould by wireless transmission method
Block;
Described computation analysis module carries out household electrical appliance classification to received user power utilization data and electric power data,
To classification results;It is analyzed described user power utilization data, electric power data and classification results again processing, obtains user's year electricity consumption
Scheme, moon electricity consumption planning and power consumption control suggestion in real time;
To user, described visualization output and feedback module, show that described computation analysis module obtains by visual pattern
User's year power program and moon electricity consumption planning, obtain user according to self consumption habit and preference to electricity consumption side of described year simultaneously
Case and the adjustment feedback information of moon electricity consumption planning, and pass to described computation analysis module;
With feedback module, described visualization output also shows that real-time power consumption control is advised, obtain user according to using in real time simultaneously
Described real-time power consumption control is advised the suggestion feedback information whether accepted by electricity demand, and passes to described computation analysis module;
Described computation analysis module according to received adjustment feedback information and suggestion feedback information to corresponding user
Year power program, moon electricity consumption planning and power consumption control suggestion in real time are adjusted, thus obtain renewal user's year power program,
Moon electricity consumption planning and the real-time power consumption control suggestion updated;And by user's year power program of described renewal, moon electricity consumption planning exhibition
Show to user;Meanwhile, generate corresponding real time control command according to the real-time power consumption control suggestion updated and set described in being sent to
Standby control and execution module;
Described equipment controls with execution module according to received real time control command, controls household electrical appliance in real time
System, described real time control command includes: power-on, power cutoff, the existing electricity condition of holding and adjustment running status.
The feature of a kind of household electricity planing method based on tou power price and step price form of the present invention is by as follows
Step is carried out:
Step 1, Real-time Collection are from the user power utilization data of household electrical appliance, including: user's real-time electricity consumption total amount and each
Household electrical appliance model specification, per hour power consumption, with electrical feature with use electricity condition;
Step 2, obtaining from the electric power data of power grid enterprises, described electric power data includes: step price charge standard, season
Joint tou power price information, Peak-valley TOU power price information, weather conditions information, user region year, the moon, every per day electricity consumption number
According to;
Step 3, obtain user power utilization target pattern, described user power utilization according to user according to self consumption habit and preference
Target pattern includes: rigid economy, three kinds of different power consumption patterns of enjoyment economic and practical, loose;
Step 4, described user power utilization data and electric power data are carried out household electrical appliance classification, obtain classification results, described
Classification includes: temperature control load, uncontrollable load, can plan load and interruptible load;
Step 5, according to described user power utilization target pattern and classification results, to described user power utilization data, electric power data
Carry out data analysis, obtain user's year power program, moon electricity consumption planning and power consumption control suggestion in real time and with visual pattern exhibition
Show and inquire about to user and browse;
Step 6, obtain user according to self consumption habit and preference to described year power program and the tune of moon electricity consumption planning
Whole feedback information;
Obtain the suggestion feedback information that described real-time power consumption control is advised whether accepting by user according to real-time need for electricity;
Step 7, corresponding user's year power program, moon electricity consumption planning are adjusted according to adjusting feedback information, thus
Obtain the user's year power program after updating, moon electricity consumption planning;
According to suggestion feedback information, the suggestion of described real-time power consumption control is updated, it is thus achieved that after renewal in real time with automatically controlled
System suggestion;
Step 8, the user's year power program after described renewal, moon electricity consumption planning are showed user;Simultaneously according to renewal
After the suggestion of real-time power consumption control generate corresponding real time control command and be sent to described be controlled from household electrical appliance;Described
Real time control command includes: power-on, power cutoff, the existing electricity condition of holding and adjustment running status.
The feature of household electricity planing method of the present invention lies also in, and is to carry out as follows in described step 5:
Step 5.1, according to step price charge standard and user power utilization target pattern, estimate plan year power consumption district
Between, and compare with the stepping of step price charge standard, thus make a year power program;
Step 5.2, with described year power program as standard, be calculated monthly average electricity consumption value of calculation, further according to described season
Joint tou power price information is calculated monthly average power consumption regulation coefficient;
Step 5.3, according to described monthly average power consumption regulation coefficient, described monthly average electricity consumption value of calculation is adjusted,
To moon electricity consumption planning;
Step 5.4, it is planned to standard with moon electricity consumption, according to Peak-valley TOU power price information every day, analyzes real-time electricity consumption total amount
With Household Appliance state, obtain in the electricity consumption time in described electricity condition and described every day Peak-valley TOU power price information
Peak interval of time;
With the electricity consumption time in electricity condition and the peak in described every day Peak-valley TOU power price information described in step 5.5, comparison
Paddy period degree of agreement, identifies the household electrical appliance needing to adjust the electricity consumption time;
Step 5.6, according to moon electricity consumption planning, real-time electricity consumption is proposed the household electrical appliance of the different classification results identified
Controlling suggestion, the suggestion of described real-time power consumption control includes: opens, turn off and is continuing with.
The suggestion of described real-time power consumption control is to perform as follows:
Whether the classification results of the household electrical appliance that step 5.6.1, judgement are identified is temperature control load, if temperature control is born
Lotus, then perform step 5.6.2;Otherwise perform step 5.6.3;
Step 5.6.2, judging the Special use requirement whether temperature control load has user to set, if having, then jumping to step
5.6.8, step 5.6.9 is otherwise jumped to;
Whether the classification results of the household electrical appliance that step 5.6.3, judgement are identified is to plan load, if can plan
Load, then perform step 5.6.4;Otherwise, step 5.6.5 is performed;
Step 5.6.4, judgement can plan whether the load opening time is in the low power consumption period, if being in, then jump to
Step 5.6.8, otherwise jumps to step 5.6.10;
Whether the classification results of the household electrical appliance that step 5.6.5, judgement are identified is interruptible load;If can interrupt
Load;Then perform step 5.6.6;Otherwise, step 5.6.8 is performed;
Step 5.6.6;Judging whether the interruptible load currently used time is in the low power consumption period, if being in, then jumping
Go to step 5.6.7, otherwise, jump to step 5.6.10;
Step 5.6.7, judge whether interruptible load can be stopped using immediately, if permissible, then stop load and redirect
To step 5.6.10 then, step 5.6.8 is jumped to;
Step 5.6.8, maintenance household electrical appliance current state are constant;
Step 5.6.9, adjustment temperature control load are to energy-conservation use state;
Step 5.6.10, user set can time delay interval, and select electricity consumption low in described time delay in interval
Paddy time point, thus household electrical appliance are opened when low power consumption time point.
Compared with the prior art, the invention have the benefit that
1, the present invention is from step price and the combination application of tou power price, based on resident, by analyzing
User power utilization data and electric power data formulate year power program, moon electricity consumption planning and power consumption control suggestion in real time, formed one long
Phase, comprehensive, meet the actual need for electricity of each resident and the electricity consumption planning of economize on electricity target, contribute to improving resident and use
The consumption habit at family, fundamentally achieves using electricity wisely and the maximized purpose of power consumption efficiency.
2, the present invention is with year as cycle, combines step price meter on the basis of domestic consumer self consumption habit and preference
Valency standard formulation year power program, household electricity elementary object can be determined on the whole, and it is peculiar more to embody each family
Power consumption characteristics, achieve using electricity wisely on the premise of power quality ensureing, improve domestic consumer's satisfaction to planning
With the probability realized.
3, the present invention is with the moon as cycle, it is considered to weather conditions information and tou power price in season formulate moon electricity consumption planning, utilize
Monthly average power consumption regulation coefficient improves the monthly power consumption of step price cannot reflect the present situation of actual electricity consumption situation, more accords with
Conjunction electricity consumption of resident, with the feature of seasonal fluctuation, optimizes stepped design reasonability.
4, the present invention utilizes Peak-valley TOU power price to combine the classification results to household electrical appliance, proposes electricity consumption every day to use in real time
Electric control is advised, and realizes controlling, fully by forming real time control command to the displaying of user and opinion collection feedback information
Consider different household electrical appliance by electrical feature and the use wish of resident, the control that preferably carries out avoiding the peak hour, decrease electricity
Take expenditure, it is achieved that demand response.
Accompanying drawing explanation
Fig. 1 is the module diagram of the embodiment of the present invention;
Fig. 2 is the electricity consumption planning flow chart of the embodiment of the present invention;
Fig. 3 is that the daily power consumption of the embodiment of the present invention is monitored and the flow chart controlled in real time.
Detailed description of the invention
In the present embodiment, a kind of household electricity planning system based on tou power price and step price form, such as Fig. 1 institute
Show, including: user power utilization metering module 1, RFDC and transport module 2, computation analysis module 3, visualization output with
Feedback module 4, equipment control and perform module 5;
User power utilization metering module 1, is connected with household electrical appliance, and for Real-time Collection user power utilization data;User power utilization
Data include: user's real-time electricity consumption total amount and each household electrical appliance model specification, per hour power consumption, use electrical feature and electricity consumption shape
State;
RFDC and transport module 2, be connected with power grid enterprises, be used for receiving electric power data, and electric power data includes:
Step price charge standard, tou power price information in season, Peak-valley TOU power price information, weather conditions information, user region
Year, the moon, every per day electricity consumption data;
RFDC is also connected with user power utilization metering module 1 with transport module 2, is used for receiving user power utilization number
According to, and user power utilization data and electric power data are sent to computation analysis module 3 by wireless transmission method;
Computation analysis module 3 carries out household electrical appliance classification to received user power utilization data and electric power data, obtains
Classification results;Again user power utilization data, electric power data and classification results are analyzed process, obtain user's year power program,
Moon electricity consumption planning and real-time power consumption control are advised;
Visualization output and feedback module 4, show, to user, the user that computation analysis module 3 obtains by visual pattern
Year power program and moon electricity consumption planning, obtain user according to self consumption habit and preference to year power program and moon electricity consumption simultaneously
The adjustment feedback information of planning, and pass to computation analysis module 3;
With feedback module 4, visualization output also shows that real-time power consumption control is advised, obtain user according to real-time electricity consumption simultaneously
Real-time power consumption control is advised the suggestion feedback information whether accepted by demand, and passes to computation analysis module 3;
Corresponding user's year is used by computation analysis module 3 according to received adjustment feedback information and suggestion feedback information
Electricity scheme, moon electricity consumption planning and power consumption control suggestion in real time are adjusted, thus obtain user's year power program of renewal, moon use
Electricity planning and the real-time power consumption control suggestion updated;And user's year power program of renewal, moon electricity consumption planning are showed user;
Meanwhile, generate corresponding real time control command according to the real-time power consumption control suggestion updated and the equipment that is sent to controls and performs mould
Block 5;
Equipment controls with execution module 5 according to received real time control command, controls household electrical appliance in real time,
Real time control command includes: power-on, power cutoff, the existing electricity condition of holding and adjustment running status.
In the present embodiment, a kind of household electricity planing method based on tou power price and step price form, such as Fig. 2 institute
Show, be to carry out as follows:
Step 1, Real-time Collection are from the user power utilization data of household electrical appliance, including: user's real-time electricity consumption total amount and each
Household electrical appliance model specification, per hour power consumption, with electrical feature with use electricity condition;
Step 2, obtaining from the electric power data of power grid enterprises, electric power data includes: step price charge standard, season divide
Time electricity price information, Peak-valley TOU power price information, weather conditions information, user region year, the moon, every per day electricity consumption data;
Step 3, obtain user power utilization target pattern, user power utilization target according to user according to self consumption habit and preference
Pattern includes: rigid economy, three kinds of different power consumption patterns of enjoyment economic and practical, loose;In the present embodiment, carry out user's use
When electricity target pattern selects, rigid economy pattern formula power consumption is average below the power consumption 70%-90% of user's history, economy is suitable
With pattern formula power consumption be user's history average power consumption 90%-110%, quality enjoying type pattern power consumption be user's history put down
All power consumption 110%-130%;
Step 4, user power utilization data and electric power data being carried out household electrical appliance classification, obtain classification results, classification includes:
Temperature control load, uncontrollable load, load and interruptible load can be planned;Household electrical appliance classification is to occupy according to China's household electrical appliance
Situation analysis, current common household electrical appliance mainly include electric refrigerator, air-conditioning, television set, washing machine, electric heater, water heater, platform
Formula machine, notebook computer, microwave oven, electromagnetic oven, water dispenser, lighting.Following 4 classes can be divided into: temperature according to its controllable degree
Control load, including air-conditioning, refrigerator etc., possesses certain cold-storage or heat storage capacity;Load can be planned, including washing machine, electric cooker,
Water heaters etc., the working cycle is fixed and the use time has certain elasticity;Interruptible load, including lighting, fan etc., can
Based Intelligent Control but use time lack flexibility;Uncontrollable load, including desktop computer, television set etc., the working cycle is random and can not
Interrupt.
Step 5, according to user power utilization target pattern and classification results, user power utilization data, electric power data are carried out data
Analyze, obtain user's year power program, moon electricity consumption planning and power consumption control suggestion in real time and show user with visual pattern
Inquire about and browse;In the present embodiment, as without history number when user's past three year history electricity consumption situation data are analyzed
According to, with region, average electricity consumption level is as standard;
Step 5.1, according to step price charge standard and user power utilization target pattern, estimate plan year power consumption district
Between, and compare with the stepping of step price charge standard, thus make a year power program;Such as: past three year history
Average power consumption is in the second ladder, if user power utilization target pattern selection rigid economy type, and the average power consumption of history
70%-90% can make power consumption be in the first ladder, then recommend the first ladder as target gear, and rigid economy type is as target
Pattern;If the 110%-130% that cannot adjust to the average power consumption of the first ladder and history can make power consumption be in the 3rd ladder,
Then recommend the second ladder as target gear, it is recommended that to select economic and practical type as target pattern;
Step 5.2, with year power program as standard, be calculated monthly average electricity consumption value of calculation, further according to season timesharing electricity
Valency information is calculated monthly average power consumption regulation coefficient;Regulation coefficient is mainly by season (temperature) factor, the current year
Complete power consumption schedule variance factor constraints;
Step 5.3, according to monthly average power consumption regulation coefficient, monthly average electricity consumption value of calculation is adjusted, obtains a moon electricity consumption
Planning;
Step 5.4, it is planned to standard with moon electricity consumption, according to Peak-valley TOU power price information every day, analyzes real-time electricity consumption total amount
With Household Appliance state, when obtaining with peak valley in the electricity consumption time in electricity condition and every day Peak-valley TOU power price information
Section;
Electricity consumption time in step 5.5, comparison electricity condition and the peak interval of time kiss in every day Peak-valley TOU power price information
Conjunction degree, identifies the household electrical appliance needing to adjust the electricity consumption time;
Step 5.6, according to moon electricity consumption planning, real-time electricity consumption is proposed the household electrical appliance of the different classification results identified
Controlling suggestion, the suggestion of real-time power consumption control includes: opens, turn off and is continuing with.
In the present embodiment, the formulation of real-time power consumption control suggestion is as in figure 2 it is shown, carry out as follows:
Whether the classification results of the household electrical appliance that step 5.6.1, judgement are identified is temperature control load, if temperature control is born
Lotus, then perform step 5.6.2;Otherwise perform step 5.6.3;
Step 5.6.2, judging the Special use requirement whether temperature control load has user to set, if having, then jumping to step
5.6.8, step 5.6.9 is otherwise jumped to;
Whether the classification results of the household electrical appliance that step 5.6.3, judgement are identified is to plan load, if can plan
Load, then perform step 5.6.4;Otherwise, step 5.6.5 is performed;
Step 5.6.4, judgement can plan whether the load opening time is in the low power consumption period, if being in, then jump to
Step 5.6.8, otherwise jumps to step 5.6.10;
Whether the classification results of the household electrical appliance that step 5.6.5, judgement are identified is interruptible load;If can interrupt
Load;Then perform step 5.6.6;Otherwise, step 5.6.8 is performed;
Step 5.6.6;Judging whether the interruptible load currently used time is in the low power consumption period, if being in, then jumping
Go to step 5.6.7, otherwise, jump to step 5.6.10;
Step 5.6.7, judge whether interruptible load can be stopped using immediately, if permissible, then stop load and redirect
To step 5.6.10 then, step 5.6.8 is jumped to;
Step 5.6.8, maintenance household electrical appliance current state are constant;
Step 5.6.9, adjustment temperature control load are to energy-conservation use state;The economize on electricity of temperature control load setting is opened, closes, kept
Temperature.Such as: air-conditioning, indoor temperature winter more than 0 DEG C, when summer less than 26 DEG C opens, is reminded and chosen whether to close;Ice
Case is not in the case of having Special use requirement, and refrigerated storage temperature is set as 5 DEG C, and cryogenic temperature is set as-18 DEG C, less than design temperature
Time remind whether adjust design temperature.
Step 5.6.10, user set can time delay interval, and when selecting low power consumption in interval time delay
Between point, thus when low power consumption time point open household electrical appliance.
The adjustment that year power program and moon electricity consumption are planned by step 6, acquisition user according to self consumption habit and preference is anti-
Feedforward information;
Obtain the suggestion feedback information that real-time power consumption control is advised whether accepting by user according to real-time need for electricity;
Step 7, corresponding user's year power program, moon electricity consumption planning are adjusted according to adjusting feedback information, thus
Obtain the user's year power program after updating, moon electricity consumption planning;
According to suggestion feedback information, the suggestion of real-time power consumption control is updated, it is thus achieved that the real-time power consumption control after renewal is built
View;
Step 8, will update after user's year power program, moon electricity consumption planning show user;After simultaneously according to updating
Power consumption control advises generating corresponding real time control command and being sent to oneself electrical appliance being controlled in real time;Real time control command
Including: power-on, power cutoff, the existing electricity condition of holding and adjustment running status.
Claims (4)
1. a household electricity planning system based on tou power price and step price form, is characterized in that including: user power utilization
Metering module, RFDC and transport module, computation analysis module, visualization output and feedback module, equipment control with
Perform module;
Described user power utilization metering module, is connected with household electrical appliance, and for Real-time Collection user power utilization data;Described user uses
Electricity data include: user's real-time electricity consumption total amount and each household electrical appliance model specification, per hour power consumption, use electrical feature and electricity consumption
State;
Described RFDC and transport module, be connected with power grid enterprises, is used for receiving electric power data, described electric power data bag
Include: step price charge standard, tou power price information in season, Peak-valley TOU power price information, weather conditions information, user location
Territory year, the moon, every per day electricity consumption data;
Described RFDC is also connected with user power utilization metering module with transport module, is used for receiving described user power utilization number
According to, and described user power utilization data and described electric power data are sent to described computation analysis module by wireless transmission method;
Described computation analysis module carries out household electrical appliance classification to received user power utilization data and electric power data, is divided
Class result;It is analyzed described user power utilization data, electric power data and classification results again processing, obtains user year electricity consumption side
Case, moon electricity consumption planning and power consumption control suggestion in real time;
Described visualization output and feedback module, show, to user, the use that described computation analysis module obtains by visual pattern
Family year power program and moon electricity consumption planning, obtain simultaneously user according to self consumption habit and preference to described year power program and
The adjustment feedback information of moon electricity consumption planning, and pass to described computation analysis module;
With feedback module, described visualization output also shows that real-time power consumption control is advised, obtain user according to real-time electricity consumption need simultaneously
Seek the suggestion feedback information that described real-time power consumption control is advised whether to be accepted, and pass to described computation analysis module;
Corresponding user's year is used by described computation analysis module according to received adjustment feedback information and suggestion feedback information
Electricity scheme, moon electricity consumption planning and power consumption control suggestion in real time are adjusted, thus obtain user's year power program of renewal, moon use
Electricity planning and the real-time power consumption control suggestion updated;And user's year power program of described renewal, moon electricity consumption planning are showed
User;Meanwhile, generate corresponding real time control command according to the real-time power consumption control suggestion updated and be sent to described equipment control
System and execution module;
Described equipment controls with execution module according to received real time control command, controls household electrical appliance in real time,
Described real time control command includes: power-on, power cutoff, the existing electricity condition of holding and adjustment running status.
2. a household electricity planing method based on tou power price and step price form, is characterized in that entering as follows
OK:
Step 1, Real-time Collection are from the user power utilization data of household electrical appliance, including user's real-time electricity consumption total amount and each domestic
Electrical equipment model specification, per hour power consumption, with electrical feature with use electricity condition;
Step 2, obtaining from the electric power data of power grid enterprises, described electric power data includes: step price charge standard, season divide
Time electricity price information, Peak-valley TOU power price information, weather conditions information, user region year, the moon, every per day electricity consumption data;
Step 3, obtain user power utilization target pattern, described user power utilization target according to user according to self consumption habit and preference
Pattern includes: rigid economy, three kinds of different power consumption patterns of enjoyment economic and practical, loose;
Step 4, described user power utilization data and electric power data are carried out household electrical appliance classification, obtain classification results, described classification
Including: temperature control load, uncontrollable load, load and interruptible load can be planned;
Step 5, according to described user power utilization target pattern and classification results, described user power utilization data, electric power data are carried out
Data analysis, obtains user's year power program, moon electricity consumption planning and power consumption control suggestion in real time and shows with visual pattern
User inquires about and browses;
Step 6, to obtain user anti-to the adjustment of described year power program and moon electricity consumption planning according to self consumption habit and preference
Feedforward information;
Obtain the suggestion feedback information that described real-time power consumption control is advised whether accepting by user according to real-time need for electricity;
Step 7, corresponding user's year power program, moon electricity consumption planning are adjusted, thus obtain according to adjusting feedback information
User's year power program after renewal, moon electricity consumption planning;
According to suggestion feedback information, the suggestion of described real-time power consumption control is updated, it is thus achieved that the real-time power consumption control after renewal is built
View;
Step 8, the user's year power program after described renewal, moon electricity consumption planning are showed user;After simultaneously according to updating
In real time power consumption control suggestion generates corresponding real time control command and is sent to described be controlled from household electrical appliance;Described in real time
Control instruction includes: power-on, power cutoff, the existing electricity condition of holding and adjustment running status.
Household electricity planing method the most according to claim 2, is characterized in that, is to enter as follows in described step 5
OK:
Step 5.1, according to step price charge standard and user power utilization target pattern, estimate plan year power consumption interval, and
Compare with the stepping of step price charge standard, thus make a year power program;
Step 5.2, with described year power program as standard, be calculated monthly average electricity consumption value of calculation, divide further according to described season
Time electricity price information be calculated monthly average power consumption regulation coefficient;
Step 5.3, according to described monthly average power consumption regulation coefficient, described monthly average electricity consumption value of calculation is adjusted, obtains the moon
Electricity consumption is planned;
Step 5.4, it is planned to standard with moon electricity consumption, according to Peak-valley TOU power price information every day, analyzes real-time electricity consumption total amount and family
Electrical appliance electricity condition, obtains the electricity consumption time in described electricity condition and the peak valley in described every day Peak-valley TOU power price information
Period;
Described in step 5.5, comparison with the electricity consumption time in electricity condition with peak valley in described every day Peak-valley TOU power price information time
Section degree of agreement, identifies the household electrical appliance needing to adjust the electricity consumption time;
Step 5.6, according to moon electricity consumption planning, real-time power consumption control is proposed the household electrical appliance of the different classification results identified
Suggestion, the suggestion of described real-time power consumption control includes: opens, turn off and is continuing with.
4. household electricity planning system as claimed in claim 3, is characterized in that, the suggestion of described real-time power consumption control is by as follows
Step performs:
Whether the classification results of the household electrical appliance that step 5.6.1, judgement are identified is temperature control load, if temperature control load, then
Perform step 5.6.2;Otherwise perform step 5.6.3;
Step 5.6.2, judging the Special use requirement whether temperature control load has user to set, if having, then jumping to step
5.6.8, step 5.6.9 is otherwise jumped to;
Whether the classification results of the household electrical appliance that step 5.6.3, judgement are identified is to plan load, if can plan to bear
Lotus, then perform step 5.6.4;Otherwise, step 5.6.5 is performed;
Step 5.6.4, judgement can plan whether the load opening time is in the low power consumption period, if being in, then jump to step
5.6.8, step 5.6.10 is otherwise jumped to;
Whether the classification results of the household electrical appliance that step 5.6.5, judgement are identified is interruptible load;If can interrupt bearing
Lotus;Then perform step 5.6.6;Otherwise, step 5.6.8 is performed;
Step 5.6.6;Judging whether the interruptible load currently used time is in the low power consumption period, if being in, then jumping to
Step 5.6.7, otherwise, jumps to step 5.6.10;
Step 5.6.7, judge whether interruptible load can be stopped using immediately, if permissible, then stop load and jump to step
Rapid 5.6.10 then, jumps to step 5.6.8;
Step 5.6.8, maintenance household electrical appliance current state are constant;
Step 5.6.9, adjustment temperature control load are to energy-conservation use state;
Step 5.6.10, user set can time delay interval, and when selecting low power consumption in interval described time delay
Between point, thus when low power consumption time point open household electrical appliance.
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---|---|---|---|---|
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103676846A (en) * | 2013-11-20 | 2014-03-26 | 常州思普锐电力科技有限公司 | Novel household energy management system intelligent control algorithm |
CN104181898A (en) * | 2014-09-01 | 2014-12-03 | 东北电力大学 | Intelligent control method and system for interactive home appliances on basis of time-of-use electricity price response |
CN104268681A (en) * | 2014-09-18 | 2015-01-07 | 东南大学 | Time-of-use electricity price household device optimized running method based on load classification |
CN104466955A (en) * | 2014-12-15 | 2015-03-25 | 南华大学 | Domestic electricity-saving system suitable for step electricity price and time-of-use electricity price |
CN104778504A (en) * | 2015-03-18 | 2015-07-15 | 南京邮电大学 | Electricity utilization arrangement optimization method for intelligent household electrical appliances |
CN105470971A (en) * | 2016-01-12 | 2016-04-06 | 中国电力科学研究院 | Flexible adaptive power load control system and control method thereof |
-
2016
- 2016-06-03 CN CN201610410009.9A patent/CN106096778A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103676846A (en) * | 2013-11-20 | 2014-03-26 | 常州思普锐电力科技有限公司 | Novel household energy management system intelligent control algorithm |
CN104181898A (en) * | 2014-09-01 | 2014-12-03 | 东北电力大学 | Intelligent control method and system for interactive home appliances on basis of time-of-use electricity price response |
CN104268681A (en) * | 2014-09-18 | 2015-01-07 | 东南大学 | Time-of-use electricity price household device optimized running method based on load classification |
CN104466955A (en) * | 2014-12-15 | 2015-03-25 | 南华大学 | Domestic electricity-saving system suitable for step electricity price and time-of-use electricity price |
CN104778504A (en) * | 2015-03-18 | 2015-07-15 | 南京邮电大学 | Electricity utilization arrangement optimization method for intelligent household electrical appliances |
CN105470971A (en) * | 2016-01-12 | 2016-04-06 | 中国电力科学研究院 | Flexible adaptive power load control system and control method thereof |
Cited By (24)
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