CN105631542A - Home user intelligent power use mode scheduling method - Google Patents
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Abstract
The invention relates to a home user intelligent power use mode scheduling method. The method comprises the steps of constructing the classification model of a home user load, constructing the satisfaction model of a user to a home appliance, constructing a user power consumption cost model, constructing the overall average satisfaction model of the user, constructing an intelligent power dispatching overall model, and solving the constructed model through CPLEX and obtaining the scheduling scheme which is most suitable for a home user intelligent power use mode. Through the detailed classification of the home user load, the load can be reasonably and efficiently scheduled, a real-time power pricing mechanism is used to carry out requirement response of a user, on the basis of considering photovoltaic power generation, the problems of electricity cost and satisfaction concerned by the user are comprehensively considered, the economic efficiency of the user is improved.
Description
Technical field
The present invention relates to electricity consumption scheduling field, be specifically related to a kind of domestic consumer's intelligent power mode dispatching method.
Background technology
Along with economic fast development, global environment goes from bad to worse, climate warming, the requirement of electric energy is improved constantly by power consumer, in addition power load gets more and more, peak-valley difference is gradually increased, how to realize energy-saving and emission-reduction, peak load shifting is the focus instantly paid close attention to, and is also the severe challenge faced by conventional electric power network. In order to solve this series of problems, countries in the world are devoted to build reliable, safety, economy, efficient and eco-friendly intelligent grid. China quite payes attention to for the development of intelligent grid, and State Grid Corporation of China proposes strong intelligent grid in " UHV transmission technology international conference in 2009 ", and it has been made concrete future plan. Intelligent power, as the mainstay building strong intelligent grid, receives and payes attention to widely and pay close attention to. By from traditional dsm to the transformation of Demand Side Response, it is achieved the bidirectional information of electrical network and user is interactive, what optimize electric load further uses power mode, reaches the purpose of the power balance of supply side and Demand-side. In order to build sustainable development, friendly environment society better, distributed energy resource system is carried out promotion and application widely by country. In view of solar energy without geographical restrictions, can directly utilize, belong to one of clean energy resource, will not to plurality of advantages such as environments, becoming the focus of people's energy supply, increasing power consumer utilizes photovoltaic generating system, and country constantly increases for the supporting dynamics of photovoltaic generation, establish corresponding subsidy policy, improve user and use the enthusiasm of photovoltaic generation. Current electricity consumption mode dispatching method is less carries out detailed classification to customer charge, it is impossible to enough dispatch load rationally, efficiently; User is carried out demand response by less utilization Spot Price mechanism, it is impossible to transfers user and participates in the enthusiasm of intelligent power.
Today in science and technology fast development, Smart Home brings more facility as new industry for domestic consumer, and along with the proposition of some supplementary measures such as smart jack, palm electric power app and constantly perfect, obtain the accreditation of extensive domestic consumer, and it has been carried out the application of daily life, thus how reasonably to be scheduling becoming the problem that domestic consumer pays close attention to the electricity consumption of Smart Home.
Summary of the invention
For overcoming above-mentioned the deficiencies in the prior art, the present invention provides a kind of domestic consumer's intelligent power mode dispatching method, power load for domestic consumer has carried out detailed classification, consider user's satisfaction to each type load, considering on the basis of photovoltaic generating system, use Spot Price mechanism to allow user participate in demand response, set up intelligent power scheduling model based on dual layer resist theory.
Realizing the solution that above-mentioned purpose adopts is:
A kind of domestic consumer's intelligent power mode dispatching method, described method includes:
(1) disaggregated model of domestic consumer's load is built;
(2) user's satisfaction model to household electrical appliances is built;
(3) user power utilization amount cost model is built;
(4) the population mean satisfaction model of user is built;
(5) intelligent power scheduling overall model is built;
(6) solved the model of foundation by CPLEX, obtain being best suitable for the scheduling scheme of domestic consumer's intelligent power pattern.
Preferably, in described step (1), the described disaggregated model building domestic consumer's load, including: the division carrying out the period such as grade per hour to following a day, set up the power consumption starting, day part interval to processing completion time used for them and the mathematical expression mode of each run time, being analyzed by electrical characteristics load on this basis of load operation.
Preferably, described structure user's satisfaction model to household electrical appliances, including: the specificity analysis to variety classes load, it is determined that user's satisfaction criterion to each type load.
Preferably, described structure user power utilization amount cost model, including: carry out the prediction of Spot Price by intelligent algorithm, it is considered to the schedulable load of domestic consumer, non-scheduling load and photovoltaic generation and user buy electricity and sell the situation of electricity, use Spot Price to determine that the electricity of user always spends.
Preferably, the described population mean satisfaction model building user, including: calculate the average satisfaction of each type load, and it is average again that each type load is weighted summation.
Preferably, described structure intelligent power scheduling overall model, including: utilize dual layer resist theoretical, user power utilization amount after deliberation is spent and population mean satisfaction carries out dual layer resist, it is determined that the object function of upper strata planning and constraints, the object function of lower floor's planning and constraints.
Preferably, described disaggregated model includes: can not interrupt electrical appliance model, discrete type power stability electrical appliance model and continuous changed power electrical appliance model.
Compared with prior art, the method have the advantages that
The present invention is by carrying out detailed classification to domestic consumer's load, it is possible to dispatch load more rationally, efficiently; Use Spot Price mechanism that user is carried out demand response, considering on the basis of photovoltaic generation, consider the electricity cost of user's care and the problem of satisfaction, improve the economic benefit of user, transfer user and participate in the enthusiasm of intelligent power, thus optimizing load curve further, reduce peak-load regulating pressure.
Accompanying drawing explanation
Fig. 1 is domestic consumer's intelligent power mode dispatching method flow chart.
Detailed description of the invention
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail.
The disaggregated model of the customer charge that 1, founds a family
Assume that A is the set of domestic consumer's load, each electrical appliance a �� A, we are scheduling research to following one day 24 hours of customer charge with power mode, with electrical appliance run the period be not by hour in units of, so each period is not defined with 1 hour, but carried out the finer equal period �� that is divided into each hour, definitionFor period number hourly, hop count D=24*d time total. Definition power consumption vector Representing the electrical appliance a power consumption l period, scheduling slot is D, uses ��a,��aRepresent that electrical appliance a participates in beginning and processing completion time used for them, the tn of scheduling respectivelyaRepresent each run time of electrical appliance a,The respectively maximum operation power of electrical appliance a, minimum operation power and rated power. For domestic consumer's load, a portion is not involved in scheduling, and this type load is defined as non-scheduling load. Simply the load that can participate in scheduling is classified at this, is classified as three classes: electrical appliance, discrete type power stability electrical appliance and continuous changed power electrical appliance can not be interrupted, below these loads are made introductions all round:
(1) electrical appliance can not be interrupted
In domestic electric appliances, the load of general type is can select to be interrupt or continue to run with according to user's actual electricity consumption situation in daily life in running, but some electrical appliance not can select that, cannot interrupt once be in running status, otherwise can affect its work, this type load is defined as and can not interrupt electrical appliance, uses AURepresent.
Assume a �� AUIt is to interrupt electrical appliance, ��aRepresent that it runs needs lasting period, itPower under run, and introduce 0-1 variableWithAndWithWhat represent is all actuating quantity. When this type load becomes bringing into operation state from run-stopping status, the last period of its run-stopping statusWhen being in other actionAnd when this type load becomes run-stopping status from running status, the last period of its running statusWhen being in other actionTherefore, below equation is drawn:
��a=tna*d
For interrupting electrical appliance, it is relevant with 01 variablees introduced below that it consumes electricity. 01 variablees are introduced again at thisAndWhat represent is quantity of state. When this type load is in running status,When being in run-stopping status,For three class 01 variablees introduced above, its constraints is:
For this type load, its electric quantity consumption l period is:
(2) discrete type power stability electrical appliance
In real life, some electrical appliance is to run with switching value, and after electrical appliance brings into operation, its power exists continually and steadilyWhen electrical appliance is out of service, its power becomesThis kind of electrical appliance only has both power ratings, and we are defined as discrete type power stability electrical appliance it, use AVRepresent.
Assume aAVBeing discrete type power stability electrical appliance, the scheduling of its power consumption can only be usedOrRepresent this electrical equipment power consumption in the period run or disconnect. Describe this electrical appliance in order to convenient, be introduced back into 0-1 variableWhen this load operationPower consumptionAnd when closingPower consumptionIt is also possible to draw below equation:
(3) continuous changed power electrical appliance
General, power load has certain rated power, runs power and is within the scope of the finite interval of minimum and maximum power, and can need to be adjusted according to user, and this type load is defined as continuous changed power electrical appliance, uses AZRepresent, and have following expression:
It is above the specificity analysis to schedulable load, and establishes the electric quantity consumption model of each type load operationally section, but these loads are all in this overall situation of domestic consumer, necessarily have some relevant constraintss, existing it is discussed:
1. each type load is running the electricity starting to consume to processing completion time used for them
In formula: EaRepresent the electrical appliance a total electricity at each run time internal consumption.
2. the constraint of total electricity that all schedulable loads consumed in each period
In formula: EmaxRepresent the electricity maximum that one family Subscriber Unit consumes for each hour.
The constraint of 01 variablees 3. uninterrupted load and discrete type power stability load introduced
4. all schedulable loads are not running the electricity of period consumption
2, user's satisfaction model to household electrical appliances is set up
For three type loads being discussed in detail above, consider user's satisfaction to power load respectively from different angles, and set up corresponding satisfaction model.
1. for uninterrupted load, it is once run and cannot disconnecting, so from the angle of user, necessarily wishing that this type load is at traffic coverage [��a,��a] in can complete work as early as possible, in order to avoid there being some reason to cause its interrupt run, thus affecting working effect, this type load run the whole period in satisfaction model expression formula be:
In formula: t is that load end in traffic coverage runs the period.
2. for discrete type power stability load, owing to it can participate in scheduling, user wishes it is ensured that keep the daily consumption habit of original load while completing work in scope between operationally as far as possible, so this type load in each period satisfaction model expression formula run is:
In formula:Represent that load is not involved in the electricity that consumes of l period before scheduling,It it is constant.
3. for continuous changed power load, its operating power is between minimum and maximum power, and user is more desirable to it for the method for operation of these type of household electrical appliances and can work under calibration power, and therefore it in each period satisfaction model expression formula run is:
In formula:The normal rated power of running status, �� it is in for electrical appliance aaIt it is constant.
3, the power consumption cost model of user is set up
The Spot Price of Demand Side Response is the best means of the electricity equilibrium of supply and demand realizing electrical network and user, user can by understand in real time the height of electricity price determine load with disconnected, thus reducing the purpose of the electricity charge. Owing to the partial information required for the pricing model of Spot Price can relate to the trade secret of enterprise, generally will not be understood by market participant, so requiring over certain methods to carry out forecasted electricity market price, make it have as far as possible high degree of accuracy, thus carrying out electricity consumption optimizing scheduling offer reliably electricity price information for domestic consumer. It is adopt intelligent algorithm comparatively accurately for the current predictive study for electricity price now, so the Spot Price adopted in electricity consumption spends is to utilize rough set method and BP network method to combine prediction electricity price information out, the method is not only in view of history electricity price information, there is certain practicality, and consider the influence factors such as the weather condition impact on electricity price, through checking, the Spot Price of prediction and the absolute percent error of actual electricity price can ignored within scope, and the electricity for domestic consumer spends model to provide good Spot Price data. Buying each hour electricity price lattice and selling electricity price lattice and be set to p in model belowbiAnd psi, it is the price of every kilowatt hour.
Minimum object function of setting up is spent to be expressed as with power consumption:
Eai+Emi-Egi��Ei(17)
In formula: EaiFor household electrical appliances can participate in the total electricity consumption of scheduling load, EmiFor the power consumption of non-scheduling load, E in household electrical appliancesgiFor the generated energy of photovoltaic generating system, EiFor the grid company maximum restriction to domestic consumer's power consumption in each hour; ��iFor 01 variablees introduced, the �� when the electricity of domestic consumer has residue, can sell electric poweri=1, it does not have �� when unnecessary electricity can be soldi=0.
4, the population mean satisfaction model of user is set up
In view of discussing user's satisfaction model to household electrical appliances, set up user's average satisfaction to each type load on this basis.
1. the average satisfaction of electrical appliance can not be interrupted
In formula:For total number of this type load, NriThe number of traffic coverage for such i-th load.
2. the average satisfaction of discrete type power stability electrical appliance
In formula:For total number of this type load, NViHop count during for all traffic coverages total of such i-th load.
3. the average satisfaction of continuous changed power electrical appliance
In formula:For total number of this type load, NZiHop count during for all traffic coverages total of such i-th load.
Set up object function with the population mean Maximum Satisfaction of user to be expressed as
��U+��V+��Z=1 (23)
In formula: ��U,��V,��ZRespectively three classes may participate in the weight coefficient of scheduling load, NATotal number for schedulable load.
5, intelligent power scheduling overall model is set up
For better dispatching with power mode domestic consumer's load, utilize dual layer resist theoretical, electricity consumption cost and satisfaction are carried out dual layer resist, thus setting up the overall model of electricity consumption scheduling.
Upper strata is planned: minimum for object function with power consumption cost, as shown in formula (16), constraints is formula (17); Lower floor plans: with the population mean Maximum Satisfaction of user for object function, as shown in formula (22), constraints is formula (1)��(9), formula (23).
6, model solution and scheme are determined
CPLEX is utilized to solve user power utilization amount cost model, population mean satisfaction model and intelligent power scheduling model respectively, obtain the scheduling scheme of the electricity consumption cost in different model, population mean satisfaction and domestic consumer's intelligent power pattern, it is carried out Integrated comparative, thus drawing the scheduling scheme being best suitable for domestic consumer's intelligent power pattern.
Finally should be noted that: above example is merely to illustrate the technical scheme of the application but not the restriction to its protection domain; although with reference to above-described embodiment to present application has been detailed description; those of ordinary skill in the field are it is understood that the detailed description of the invention of application still can be carried out all changes, amendment or equivalent replacement by those skilled in the art after reading the application; but these change, revise or equivalent replacement, all within the claims that application is awaited the reply.
Claims (7)
1. domestic consumer's intelligent power mode dispatching method, it is characterised in that described method includes:
(1) disaggregated model of domestic consumer's load is built;
(2) user's satisfaction model to household electrical appliances is built;
(3) user power utilization amount cost model is built;
(4) the population mean satisfaction model of user is built;
(5) intelligent power scheduling overall model is built;
(6) solved the model of foundation by CPLEX, obtain being best suitable for the scheduling scheme of domestic consumer's intelligent power pattern.
2. dispatching method as claimed in claim 1, it is characterized in that, in described step (1), the described disaggregated model building domestic consumer's load, including: the division carrying out the period such as grade per hour to following a day, set up the power consumption starting, day part interval to processing completion time used for them and the mathematical expression mode of each run time of load operation, analysis load use electrical characteristics.
3. dispatching method as claimed in claim 1, it is characterised in that in described step (2), described structure user's satisfaction model to household electrical appliances, including: analyze the characteristic of variety classes load, it is determined that user's satisfaction criterion to each type load.
4. dispatching method as claimed in claim 1, it is characterized in that, in described step (3), described structure user power utilization amount cost model, including: the prediction of Spot Price is carried out by intelligent algorithm, consider that the schedulable load of domestic consumer, non-scheduling load and photovoltaic generation and user buy electricity and sell the situation of electricity, use Spot Price to determine that the electricity of user always spends.
5. dispatching method as claimed in claim 1, it is characterised in that in described step (4), the described population mean satisfaction model building user, including: calculate the average satisfaction of each type load, and it is average again that each type load is weighted summation.
6. dispatching method as claimed in claim 1, it is characterized in that, in described step (5), described structure intelligent power scheduling overall model, including: utilize dual layer resist theoretical, to after deliberation user power utilization amount spend and population mean satisfaction carry out dual layer resist, it is determined that upper strata planning object function and constraints, lower floor planning object function and constraints.
7. dispatching method as claimed in claim 1, it is characterised in that in described step (1), described disaggregated model includes: can not interrupt electrical appliance model, discrete type power stability electrical appliance model and continuous changed power electrical appliance model.
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CN110503461A (en) * | 2019-07-31 | 2019-11-26 | 南京航空航天大学 | A kind of demand response method based on residential customer cluster in smart grid |
CN110503461B (en) * | 2019-07-31 | 2023-06-09 | 南京航空航天大学 | Demand response method based on residential user clustering in smart power grid |
CN111815477A (en) * | 2020-07-07 | 2020-10-23 | 镇江市高等专科学校 | User energy management scheduling method and device |
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