CN108321796A - Household energy management system and method - Google Patents
Household energy management system and method Download PDFInfo
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- CN108321796A CN108321796A CN201810069900.XA CN201810069900A CN108321796A CN 108321796 A CN108321796 A CN 108321796A CN 201810069900 A CN201810069900 A CN 201810069900A CN 108321796 A CN108321796 A CN 108321796A
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- 238000000034 method Methods 0.000 title claims abstract description 27
- 230000005611 electricity Effects 0.000 claims abstract description 47
- 238000007726 management method Methods 0.000 claims abstract description 37
- 238000011156 evaluation Methods 0.000 claims abstract description 31
- 230000000694 effects Effects 0.000 claims description 15
- 238000005457 optimization Methods 0.000 claims description 15
- 238000004146 energy storage Methods 0.000 claims description 14
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- 208000037309 Hypomyelination of early myelinating structures Diseases 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- H02J3/383—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/10—The network having a local or delimited stationary reach
- H02J2310/12—The local stationary network supplying a household or a building
- H02J2310/14—The load or loads being home appliances
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/62—The condition being non-electrical, e.g. temperature
- H02J2310/64—The condition being economic, e.g. tariff based load management
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The present invention provides a kind of home energy management methods, comprise the steps of：Basic data obtaining step：Basic data is obtained according to historical data；Load modeling step：Load modeling is carried out according to basic data, obtains load model；Object function definition step：According to load model, objective function；Comprehensive evaluation index definition step：According to object function, comprehensive evaluation index is defined；Constraints applies step：Constraints is applied to comprehensive evaluation index；Model solution step：Solution calculating is carried out to the comprehensive evaluation index after application constraints, obtains regulation and control data.The present invention also provides a kind of household energy management systems that can realize above-mentioned home energy management method.Household energy management system control method provided by the invention may be directly applied in different home load scenarios, electricity cost is reduced while considering household electricity comfort level, the parameter that object function need not be adjusted according to concrete scene, has better practicability.
Description
Technical field
The present invention relates to control technology fields, and in particular, to a kind of household energy management system and method, especially one
The household energy management system and method for kind meter and users'comfort.
Background technology
Household energy management system (Home Energy Management System, HEMS) is the important of intelligent grid
Component part, it can the information such as comprehensive analysis distributed generation resource, energy storage, load, tou power price, electrical equipment is scheduled
And control.With the development of technology, distributed generation resource and smart home are more and more applied, and resident is by responding timesharing
The modes such as the run time of bidding price adjustment family load, participate in energy management more positively.Only focus on electricity consumption warp
The household electricity dispatching method of Ji property is often difficult to take user power utilization custom into account, and it is comfortable to sacrifice user while saving the electricity charge
Degree.In current research, electricity consumption comfort level becomes an important factor for home intelligent power considers.
Patent document CN104952001A, which is disclosed, a kind of to carry out with electrically optimized tune the controllable burden including air conditioner load
The method of degree, by the improvement that the regulation and control of temperature are realized with electricity consumption comfort level.This method is only using temperature as excellent comfort
Change target, there is no other influences of electrical work time change to users'comfort considered other than air-conditioning.
Patent document CN107451931A discloses a kind of Optimization Scheduling of home intelligent power equipment, is based on timesharing
Electricity price is established using economy and comfort as the home intelligent power equipment Optimal Dispatch model of object function, is added using linear
Power method model realization multiple-objection optimization.The defect of weigthed sums approach model is the electricity charge in different family's load scenarios and relaxes
The index value relative size of appropriateness can change, in practical application, generally requiring to adjust weight system according to concrete scene
Number, it is not strong enough there are practicability the deficiencies of.
Patent document CN104122819A discloses the home intelligent power method being accustomed to based on user, this control party
Method considers electricity consumption economy and comfort level simultaneously, and carries out dimensionless processing to object function, provides diversified use to the user
Electric Scheme Choice.But this method does not consider the electric appliance of energy interruption of work, and only only accounts for household internal load, and uncomfortable
Conjunction is applied in the household energy management system containing distributed photovoltaic power and energy storage device.
Invention content
For the defects in the prior art, the object of the present invention is to provide a kind of household energy management system and methods.
According to home energy management method provided by the invention, comprise the steps of：
Basic data obtaining step：Basic data is obtained according to historical data；
Load modeling step：Load modeling is carried out according to basic data, obtains load model；
Object function definition step：According to load model, objective function；
Comprehensive evaluation index definition step：According to object function, comprehensive evaluation index is defined；
Constraints applies step：Constraints is applied to comprehensive evaluation index；
Model solution step：Solution calculating is carried out to the comprehensive evaluation index after application constraints, obtains regulation and control data.
Preferably, the basic data includes following any or all data：
-- photovoltaic goes out force data；
-- daily load data；
-- the startup time of schedulable electric appliance and power.
Preferably, daily load data include schedulable load and non-scheduling load, schedulable load include schedulable not
Interruptible load and schedulable interruptible load；
The load modeling step comprises the steps of：
Schedulable uninterrupted load modeling procedure：Schedulable uninterrupted load is modeled as follows：
In formula：For the startup time range lower limit of load i；tsiFor the startup time of load i；For opening for load i
The dynamic time range upper limit；teiFor the shut-in time of load i；diFor the operating time of load i；
Schedulable interruptible load modeling procedure：Schedulable interruptible load is modeled as follows：
In formula：For the initial time of the 1st working hour of load i；For the end of j-th of working hour of load i
The only time；For the initial time of j-th of working hour of load i；For+1 working hour of jth of load i starting when
Between；Hop count when l is total working.
Preferably, the object function definition step comprises the steps of：
Economy objectives function definition step：Economy objectives function is defined as follows：
In formula：F1For household electricity total cost in a planning horizon；Hop count when n is total in the period；ftWhen being t-th
Section user's purchase electricity price or the electricity price to power grid sale of electricity；The power exchanged with power grid for t-th of period subscriber household；
Comfort level object function definition step：Comfort level object function is defined as follows：
In formula：F2iFor comfort levels of the schedulable load i under work at present plan；Si(t) it is works of the load i in the t periods
Make state transfer ratio；Δ t is the duration of unit time period in planning horizon；TLiFor the length of the feasible startup time range of load i
Degree；K is schedulable load sum；tsiFor the practical opening time of load i；teiFor the practical dwell time of load i；TsiIt is negative
The optimal opening time of lotus i；TeiFor the Optimal Stop time of load i.
Preferably, in comprehensive evaluation index definition step, Economic feasibility target and comfort level are defined by following formula
Evaluation index：
In formula：C1For the corresponding efficiency coefficient of economy；Max is maximizing operation；Min is operation of minimizing；C2i
For the corresponding efficiency coefficient of comfort level of schedulable load i；A, b is the coefficient of functional relation；C2For general comfort degree
Efficiency coefficient；
Comprehensive evaluation index and model optimization target are defined by following formula：
In formula：C is while considering the comprehensive evaluation index of economy and comfort level；Model optimization target is max C.
Preferably, the constraints applies step and comprises the steps of：
Power-balance constraint applies step：Apply power-balance constraint as follows：
In formula：For t-th of period family's load general power；Go out activity of force for t-th of period photovoltaic；For t
A period battery discharging power；For t-th of period family power is interacted with power grid；
Energy-storage system constraint applies step：Apply energy-storage system constraint as follows：
In formula：pbmaxFor the maximum charge-discharge electric power of accumulator；SOCminFor the minimum value of storage battery charge state；SOCtFor
The state-of-charge of t-th of period accumulator；SOCmaxFor the maximum value of storage battery charge state.
Preferably, in model solution step, using the MOPSO algorithms based on adaptive mesh, population scale M is inputted, outside
Portion archives maximum-norm N, the upper limit w of inertia weight wmax, the lower limit w of inertia weight wmin, Studying factors a1、a2, greatest iteration time
Number T generates particle, solution is regulated data using the opening time of schedulable electric appliance as variable；
The regulation and control data include working time, economy objectives functional value and the comfort level target letter of schedulable electric appliance
Numerical value.
Preferably, it also comprises the steps of：
Set data acquisition step：The information for obtaining the electric appliance for needing to optimize scheduling, needs to optimize scheduling
The information of electric appliance include it is following any one or appoint multiple contents：
-- setting appliance type information；
-- setting operating time data；
-- setting allows to start time range data；
Regulate and control step：According to regulation and control data, complete it is following any one or appoint multiple operations：
-- the work beginning and ending time parameter of setting load；
-- the interruption times parameter of setting load；
-- control time switch.
The present invention also provides a kind of household energy management system, including photovoltaic array, accumulator, inverter, family are negative
Lotus, home gateway, Web server and Web browser, and can realize above-mentioned home energy management method；
The photovoltaic array is respectively connected to family's load, power grid with accumulator by inverter；Family's load includes
Intelligent socket and electric appliance, intelligent socket are connected respectively to electric appliance, inverter, home gateway；Home gateway, Web server, Web
Browser is sequentially connected.
Compared with prior art, the present invention has following advantageous effect：
1, household energy management system control method provided by the invention has carried out the numerical value of the electricity charge and comfort level immeasurable
Guiding principleization processing, balances influence of the different target to scheduling result, it is made not interfered by load value variation；This method can be with
It directly applies in different home load scenarios, the parameter of object function need not be adjusted according to concrete scene, have better
Practicability.
2, the present invention can the information such as comprehensive analysis distributed generation resource, energy storage, load, tou power price, by load
Household electricity Optimized Operation is realized in the design of work beginning and ending time, interruption times, is reduced and is used while taking into account users'comfort
Family electric cost expenditure.
3, the application of distributed generation resource and energy storage device can allow load scheduling more flexible efficiently；Use distributed photovoltaic electricity
Source powers to load and can more effectively reduce electricity charge spending according to the photovoltaic output variation Load adjustment working time；And energy storage
In the presence of allowing period of the load in photovoltaic undercapacity also the electric energy stored in advance can be utilized to realize the effect of the saving electricity charge, improving
Give load scheduling more cushion spaces in terms of comfort level.
4, the present invention can more effectively improve resident side power consumption efficiency, realize energy-saving and emission-reduction, while peak clipping being contributed to fill out
Paddy enhances the stability of operation of power networks.
Description of the drawings
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon：
Fig. 1 is the overall structure figure of the household energy management system in the present invention；
The effect of Fig. 2 is economy objectives function in present invention coefficient function schematic diagram；
The effect of Fig. 3 is comfort level object function in present invention coefficient function schematic diagram；
Fig. 4 is the flow chart that MOPSO algorithm solving models are used in the present invention.
Specific implementation mode
With reference to specific embodiment, the present invention is described in detail.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, various modifications and improvements can be made.These belong to the present invention
Protection domain.
In the description of the present invention, it is to be understood that, term "upper", "lower", "front", "rear", "left", "right", " perpendicular
Directly ", the orientation or positional relationship of the instructions such as "horizontal", "top", "bottom", "inner", "outside" is orientation based on ... shown in the drawings or position
Relationship is set, is merely for convenience of description of the present invention and simplification of the description, device is not indicated or implied the indicated or element is necessary
With specific orientation, with specific azimuth configuration and operation, therefore be not considered as limiting the invention.
A kind of home energy management method provided by the invention comprises the steps of：Basic data obtaining step：According to going through
History data acquisition basic data；Load modeling step：Load modeling is carried out according to basic data, obtains load model；Target letter
Number definition step：According to load model, objective function；Comprehensive evaluation index definition step：According to object function, define comprehensive
Close evaluation index；Constraints applies step：Constraints is applied to comprehensive evaluation index；Model solution step：To applying about
Comprehensive evaluation index after beam condition carries out solution calculating, obtains regulation and control data.
The basic data includes following any or all data：Photovoltaic goes out force data；Daily load data；Schedulable electricity
The startup time of device and operating power.In practical operation, using the historical load data in system database as sample, using unbiased
GM (1,1) models predict family's load data on the same day, obtain the daily load curve of each electric appliance, schedulable electric appliance most
Excellent startup time and operating power.In view of there are obvious difference on working day and two-day weekend user power utilization custom, calculating
Sample data is calculated separately by working day and two-day weekend in journey.From photovoltaic DC-to-AC converter monitoring platform capture historical data into
Row statistics, prediction same day photovoltaic power generating value.
Daily load data include schedulable load and non-scheduling load, and schedulable load can not interrupt negative comprising schedulable
Lotus and schedulable interruptible load.Schedulable uninterrupted load has following features：Continuous operation, watt level is constant, has
Fixed operating time, such load operation period can be translated, while by operating time and opening time range
Constraint.Schedulable interruptible load has following features：It runs at times, watt level is constant, and total working duration is fixed.This
Type load can be with partition running, and run the period is adjustable, by opening time range, the pact of total working duration and maximum interruption times
Beam.
The load modeling step comprises the steps of：Schedulable uninterrupted load modeling procedure：It can not to schedulable
Interruptible load models as follows：
In formula：For the startup time range lower limit of load i；tsiFor the startup time of load i；For opening for load i
The dynamic time range upper limit；teiFor the shut-in time of load i；diFor the operating time of load i；
Schedulable interruptible load modeling procedure：Schedulable interruptible load is modeled as follows：
In formula：For the initial time of the 1st working hour of load i；For the end of j-th of working hour of load i
The only time；For the initial time of j-th of working hour of load i；For+1 working hour of jth of load i starting when
Between；Hop count when l is total working.
In the decision for making a change electric appliance usage time, the economic cost in addition to considering electricity consumption, it is also contemplated that changing electricity
Device application plan is influenced caused by users'comfort.Therefore the object function definition step is fixed comprising economy objectives function
Adopted step and comfort level object function definition step.
Economy objectives function is household electricity total cost, is expressed as the income that power purchase expense subtracts remaining electricity online, in conjunction with
Tou power price.Economy objectives function is defined as follows in economy objectives function definition step：
In formula：F1For household electricity total cost in a planning horizon；Hop count when n is total in the period；ftWhen being t-th
Section user's purchase electricity price or the electricity price to power grid sale of electricity；The power exchanged with power grid for t-th of period subscriber household.It is main
When front yard absorbs electricity from power gridFor just, ftFor purchase electricity price, according to the difference of period, electricity price or electricity price when paddy when taking peak.
When family is to grid power transmissionIt is negative, ftFor to the electricity price of power grid sale of electricity.
Comfort level optimization aim is the consumption habit for allowing electrical work plan to meet user's script as far as possible, i.e., to load work
The change for making the time is small as possible.Comfort level object function is defined as follows in comfort level object function definition step：
In formula：F2iFor comfort levels of the schedulable load i under work at present plan；Si(t) indicate operation plan to load i
In the influence of the on off state of t periods, Si(t) take 1 expression in the t periods, load i is in open state, and with its optimal work
Expection on off state under time is different；Δ t is Si(t) within planning horizon unit time period duration；TLiFor the feasible of load i
Start the length of time range；K is schedulable load sum；tsiFor the practical opening time of load i；teiFor the reality of load i
Dwell time；TsiFor the optimal opening time of load i；TeiFor the Optimal Stop time of load i.
During household electricity Optimized Operation, economy and comfort level the two optimization aims cannot concurrently reach most
It is excellent, it is therefore desirable to which that comprehensive assessment is carried out to effect of optimization using method appropriate.In order to which balanced economy and comfort level are to assessment
As a result influence solves this multi-objective optimization question using efficiency coefficient method, to each object function with effect system
Number is fine or not to evaluate its.Efficiency coefficient function value indicates that the effect of the partial objectives for reaches best, takes 0 on [0,1] when taking 1
When indicate effect it is worst.The geometric mean of all efficiency coefficients is total efficiency coefficient.Object function F1The effect of coefficient function
For linear function, as shown in Fig. 2, indicating that Economic feasibility target is proportional to the reduced electricity charge.Considering the evaluation to comfort level
When, it is desirable to the optimal time that the running time deviation of electric appliance meets user's custom should not be too far, while allowing close to most
The a small range of excellent time relaxes constraint to improve performance driving economy.Therefore, by object function F2The effect of coefficient function set
For exponential function, as shown in Figure 3.In comprehensive evaluation index definition step, by following formula define Economic feasibility target with
Comfort Evaluation index：
In formula：C1For the corresponding efficiency coefficient of economy, i.e., above-mentioned Economic feasibility target；Max transports for maximizing
It calculates；Min is operation of minimizing；C2iFor the corresponding efficiency coefficient of comfort level of schedulable load i；A, b is functional relation
Coefficient, it is preferable that a=e5, b=-5, certainly, the value of a, b can also carry out respective settings as needed；C2For general comfort
The effect of spending coefficient, i.e., above-mentioned Comfort Evaluation index；
Comprehensive evaluation index and model optimization target are defined by following formula：
In formula：C is while considering the comprehensive evaluation index of economy and comfort level；Model optimization target is max C, i.e. mould
Type optimization aim is to take the maximum value of C.
It includes that power-balance constraint application step applies step with energy-storage system constraint that the constraints, which applies step,.Work(
Rate Constraints of Equilibrium applies step：Day part family load power, photovoltaic generation power, accumulator cell charging and discharging power and family and electricity
Net interaction power is in equilibrium state.Power-balance constraint in system is：
In formula：For t-th of period family's load general power；Go out activity of force for t-th of period photovoltaic；For t
A period battery discharging power；For t-th of period family power is interacted with power grid；
For system using accumulator as energy storage device, the service life of accumulator can be reduced with deep discharge by overcharging,
Therefore for the charge and discharge process of accumulator, to consider the limit of the charge and discharge behavior of charge-discharge electric power and state-of-charge to accumulator
System.What the state-of-charge (State of Charge, SOC) of accumulator indicated is the total capacity that remaining battery capacity accounts for it
The relationship of ratio, state-of-charge and charge-discharge electric power is：
Wherein, σ is the self-discharge rate of accumulator, closely spaced when the time, and self-discharge rate is close to 0%/h.ηchFor electric power storage
Pond charge efficiency, ηdisFor battery discharging efficiency, EbmaxFor the maximum capacity of accumulator.In charging processIt is negative, discharged
Cheng ZhongFor just.
Energy-storage system constraint applies energy-storage system in step and is constrained to：
SOCmin≤SOCt≤SOCmax
In formula：pbmaxFor the maximum charge-discharge electric power of accumulator；SOCminFor the minimum value of storage battery charge state；SOCtFor
The state-of-charge of t-th of period accumulator；SOCmaxFor the maximum value of storage battery charge state.
The MOPSO algorithms based on adaptive mesh are used in model solution step.Energy management Optimized model needs basis
The boundary of feasible solution generates evaluation function, it is therefore desirable to find the set of feasible solution of this multi-objective optimization question.Multiple target grain
Subgroup (Multi-objective Particle Swarm Optimization, MOPSO) control parameter of algorithm is few, convergence speed
Degree is fast, can preferably solve the problems, such as higher-dimension.But it is in terms of the selection of global optimum's particle, the cutting of Noninferior Solution Set without comprehensive
Consider the density information of particle and the equilibrium problem of global and local search capability in Noninferior Solution Set.Therefore using based on adaptive
The MOPSO algorithms for answering grid improve the diversity and Algorithm Convergence of noninferior solution.Above-mentioned algorithm inputs population scale M, external
The upper limit w of archives maximum-norm N, inertia weight wmax, the lower limit w of inertia weight wmin, Studying factors a1、a2, maximum iteration
T；Using the opening time of schedulable electric appliance as variable, particle is generated, solution is regulated data, and solution procedure is as shown in Figure 4.
The regulation and control data include working time, economy objectives functional value and the comfort level target function value of schedulable electric appliance.
Home energy management method provided by the invention also includes setting data acquisition step and regulation and control step.Set data
Obtaining step：Obtain need to optimize scheduling electric appliance information, need the electric appliance for optimizing scheduling information include with
It descends any one or appoints multiple contents：Set appliance type information；Set operating time data；Setting allows to start time range number
According to.In actual use, user can log in household energy management system network monitoring platform, be selected at energy management management interface
The electric appliance for selecting scheduling to be optimized inputs the startup time range of the electrical work duration and permission.Regulate and control step：According to tune
Control data, complete it is following any one or appoint multiple operations：The work beginning and ending time parameter of load is set；The interruption time of load is set
Number parameter；Control time switch, it is final to realize household electricity economy and the optimal control targe of comfort level overall merit.
Above-mentioned home energy management method household energy management system can be realized the present invention also provides a kind of, including
Photovoltaic array, accumulator, inverter, family's load, home gateway, Web server and Web browser.As shown in Figure 1, institute
It states photovoltaic array and family's load, power grid is respectively connected to by inverter with accumulator；Family's load include intelligent socket with
Electric appliance, intelligent socket are connected respectively to electric appliance, inverter, home gateway；Home gateway, Web server, Web browser are successively
It is connected.
In actual use, the photovoltaic array and accumulator access domestic power entrance by inverter, and with electricity
Net is connected.Distributed photovoltaic power generation system not only can be family's load power supply, but also extra electricity can be transported to power distribution network.It stores
Battery stores electric energy when photovoltaic contributes and is more than workload demand, powers to load in photovoltaic power generation quantity deficiency.The intelligence is inserted
The data such as voltage, electric current, power when seat can read electric operation, and these data are sent to home gateway, it is stored in Web
In database on server.Switching manipulation can also be carried out to electric appliance according to the control instruction that server is sent.
The background monitor for carrying system database on the Web server, running system.It connects net simultaneously
Page end and home gateway are responsible for the electricity consumption data that processing intelligent socket obtains, and to intelligent socket, home gateway and Web
The operation of browser is managed.Page end and home gateway are communicated as the Socket clients communicated with Web server.With
Family logs in the network monitoring platform of household energy management system by the Web browser, sends out request to server, realizes house
The operations such as electrical appliance remote control, electricity consumption data inquiry and household electricity intelligent scheduling.User is at family's energy management interface
Input will optimize electric appliance serial number, operating time and the startup of the permission time range of scheduling, system contributes according to photovoltaic,
The data such as energy storage, family's load, time-of-use tariffs call above-mentioned home energy management method, obtain and use electric economy and comfortable
The highest scheduling scheme of overall merit is spent, and electric appliance is controlled by automatic time switch function.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited in above-mentioned
Particular implementation, those skilled in the art can make various deformations or amendments within the scope of the claims, this not shadow
Ring the substantive content of the present invention.In the absence of conflict, the feature in embodiments herein and embodiment can arbitrary phase
Mutually combination.
Claims (9)
1. a kind of home energy management method, which is characterized in that comprise the steps of：
Basic data obtaining step：Basic data is obtained according to historical data；
Load modeling step：Load modeling is carried out according to basic data, obtains load model；
Object function definition step：According to load model, objective function；
Comprehensive evaluation index definition step：According to object function, comprehensive evaluation index is defined；
Constraints applies step：Constraints is applied to comprehensive evaluation index；
Model solution step：Solution calculating is carried out to the comprehensive evaluation index after application constraints, obtains regulation and control data.
2. home energy management method according to claim 1, which is characterized in that the basic data includes following any
Kind or total data：
-- photovoltaic goes out force data；
-- daily load data；
-- the startup time of schedulable electric appliance and power.
3. home energy management method according to claim 2, which is characterized in that daily load data include schedulable load
With non-scheduling load, schedulable load includes schedulable uninterrupted load and schedulable interruptible load；
The load modeling step comprises the steps of：
Schedulable uninterrupted load modeling procedure：Schedulable uninterrupted load is modeled as follows：
In formula：For the startup time range lower limit of load i；tsiFor the startup time of load i；For load i startup when
Between range limit；teiFor the shut-in time of load i；diFor the operating time of load i；
Schedulable interruptible load modeling procedure：Schedulable interruptible load is modeled as follows：
In formula：For the initial time of the 1st working hour of load i；For j-th of working hour of load i termination when
Between；For the initial time of j-th of working hour of load i；For the initial time of+1 working hour of jth of load i；l
For total working when hop count.
4. home energy management method according to claim 3, which is characterized in that the object function definition step includes
Following steps：
Economy objectives function definition step：Economy objectives function is defined as follows：
In formula：F1For household electricity total cost in a planning horizon；Hop count when n is total in the period；ftIt is used for t-th of period
Family purchase electricity price or electricity price to power grid sale of electricity；The power exchanged with power grid for t-th of period subscriber household；
Comfort level object function definition step：Comfort level object function is defined as follows：
In formula：F2iFor comfort levels of the schedulable load i under work at present plan；Si(t) it is work shapes of the load i in the t periods
State transfer ratio；Δ t is the duration of unit time period in planning horizon；TLiFor the length of the feasible startup time range of load i；K
For schedulable load sum；tsiFor the practical opening time of load i；teiFor the practical dwell time of load i；TsiFor load i's
The optimal opening time；TeiFor the Optimal Stop time of load i.
5. home energy management method according to claim 4, which is characterized in that in comprehensive evaluation index definition step,
Economic feasibility target and Comfort Evaluation index are defined by following formula：
In formula：C1For the corresponding efficiency coefficient of economy；Max is maximizing operation；Min is operation of minimizing；C2iFor can
Dispatch the corresponding efficiency coefficient of comfort level of load i；A, b is the coefficient of functional relation；C2The effect of being spent for general comfort
Coefficient；
Comprehensive evaluation index and model optimization target are defined by following formula：
In formula：C is while considering the comprehensive evaluation index of economy and comfort level；Model optimization target is max C.
6. home energy management method according to claim 5, which is characterized in that the constraints applies step and includes
Following steps：
Power-balance constraint applies step：Apply power-balance constraint as follows：
In formula：For t-th of period family's load general power；Go out activity of force for t-th of period photovoltaic；When being t-th
Section battery discharging power；For t-th of period family power is interacted with power grid；
Energy-storage system constraint applies step：Apply energy-storage system constraint as follows：
SOCmin≤SOCt≤SOCmax
In formula：pbmaxFor the maximum charge-discharge electric power of accumulator；SOCminFor the minimum value of storage battery charge state；SOCtFor t
The state-of-charge of a period accumulator；SOCmaxFor the maximum value of storage battery charge state.
7. home energy management method according to claim 6, which is characterized in that in model solution step, using based on
The MOPSO algorithms of adaptive mesh input population scale M, the upper limit w of external archive maximum-norm N, inertia weight wmax, inertia
The lower limit w of weight wmin, Studying factors a1、a2, maximum iteration T, using the opening time of schedulable electric appliance as variable, generation
Particle, solution are regulated data；
The regulation and control data include working time, economy objectives functional value and the comfort level object function of schedulable electric appliance
Value.
8. home energy management method according to claim 1, which is characterized in that also comprise the steps of：
Set data acquisition step：The information for obtaining the electric appliance for needing to optimize scheduling, needs the electric appliance for optimizing scheduling
Information include it is following any one or appoint multiple contents：
-- setting appliance type information；
-- setting operating time data；
-- setting allows to start time range data；
Regulate and control step：According to regulation and control data, complete it is following any one or appoint multiple operations：
-- the work beginning and ending time parameter of setting load；
-- the interruption times parameter of setting load；
-- control time switch.
9. a kind of household energy management system, including photovoltaic array, accumulator, inverter, family's load, home gateway, Web take
Business device and Web browser, which is characterized in that can realize home energy manager described in any item of the claim 1 to 8
Method；
The photovoltaic array is respectively connected to family's load, power grid with accumulator by inverter；Family's load includes intelligence
Socket and electric appliance, intelligent socket are connected respectively to electric appliance, inverter, home gateway；Home gateway, Web server, web browsing
Device is sequentially connected.
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| CN109462258A (en) * | 2018-12-19 | 2019-03-12 | 河海大学 | A kind of home energy Optimization Scheduling based on chance constrained programming |
| CN109739093A (en) * | 2019-01-29 | 2019-05-10 | 长安大学 | A kind of resident's electric appliance mixing control method based on PMV model |
| CN110501981A (en) * | 2019-07-11 | 2019-11-26 | 珠海优特智厨科技有限公司 | Cooking apparatus control method, device, equipment and computer readable storage medium |
| CN110543969A (en) * | 2019-07-31 | 2019-12-06 | 国网江苏省电力有限公司电力科学研究院 | household electricity consumption behavior optimization algorithm |
| CN110543969B (en) * | 2019-07-31 | 2022-09-06 | 国网江苏省电力有限公司电力科学研究院 | Household electricity consumption behavior optimization algorithm |
| CN111027747A (en) * | 2019-11-09 | 2020-04-17 | 天津大学 | Household energy control method considering user comfort risk preference |
| CN112230609A (en) * | 2020-09-15 | 2021-01-15 | 南方电网电动汽车服务有限公司 | Household energy monitoring system and management system |
| CN113610351A (en) * | 2021-07-13 | 2021-11-05 | 国网浙江省电力有限公司电力科学研究院 | User demand response capability assessment method, system, terminal and medium |
| CN113742933A (en) * | 2021-09-13 | 2021-12-03 | 长沙理工大学 | Household energy management optimization method, system and storage medium |
| CN113742933B (en) * | 2021-09-13 | 2024-03-05 | 长沙理工大学 | Household energy management optimization method, system and storage medium |
| CN116544955A (en) * | 2023-07-03 | 2023-08-04 | 阳光慧碳科技有限公司 | Load regulation and control method, device and system |
| CN116544955B (en) * | 2023-07-03 | 2023-11-24 | 阳光慧碳科技有限公司 | Load regulation and control method, device and system |
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