CN109687429A - A kind of dispatching method, system and the storage medium of flexible load equipment - Google Patents
A kind of dispatching method, system and the storage medium of flexible load equipment Download PDFInfo
- Publication number
- CN109687429A CN109687429A CN201811450472.1A CN201811450472A CN109687429A CN 109687429 A CN109687429 A CN 109687429A CN 201811450472 A CN201811450472 A CN 201811450472A CN 109687429 A CN109687429 A CN 109687429A
- Authority
- CN
- China
- Prior art keywords
- user
- energy consumption
- flexible load
- load equipment
- scheme
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- 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
- 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]
-
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses dispatching method, system and the storage mediums of a kind of flexible load equipment, which comprises building customer charge uses function and load pricing function;The electricity price for constructing the load pricing scheme of adaptive energy consumption level, and being arranged in average energy consumption level, the constant section of electricity price and the respective bins of user's flexible load equipment;Obtain the initial flexible load equipment scheduling scheme of user;Minimizing energy consumption cost as target, constructing the optimal scheduling model of dynamic flexible load and solving;If the expectation electric cost of user is not more than its practical electric cost, flexible load equipment scheduling scheme is updated, otherwise, iteratively solves the optimal scheduling model, until obtaining optimal scheduling scheme.The present invention uses the load pricing scheme of adaptive energy consumption level, formulates different electricity prices for the user of different energy consumption levels, compared to traditional price demand response mechanism, it is possible to prevente effectively from the time-varying characteristics bring of external factor and electricity price influences.
Description
Technical field
The present invention relates to dispatching method, system and the storage mediums of a kind of flexible load equipment, belong to electricity consumption dispatching technique
Field.
Background technique
Currently, resident's power demand accounts for the 20% to 40% of global electric energy total amount, to seasonal and daily peak
Demand has significant contribution.Usually, about 20% power generation capacity can be potentially served as meeting about 5% time interior hair
Raw peak demand event.In order to safeguard the equilibrium of supply and demand and safe and stable operation of electric system, power supply company can pass through
The mode of adding new capacity meets these short-term peak requirements, but with high costs, and utilization efficiency is low.And user side is soft
The optimum management of property load can realize significant peak load shifting by shifting or reducing peak value electricity consumption, thus investment reduction
Cost, conducive to the stabilization of the electric system equilibrium of supply and demand.Further, since the development of information and communication technology (ICT), home area network
(home area network, HAN) promotes the universal of intelligent electric meter, so that the flexible load equipment running status of household is supervised
Depending on more convenient with control.Therefore, by flexible pricing scheme, scheduling is optimized to resident side flexible load equipment
It is to improve the energy to use with management, the stable important link of maintenance operation of power networks.
Current existing document and research are mostly focused on flexible load modeling and the method for optimizing scheduling of user side
Research is mostly based on the demand response mechanism of price type to carry out flexible load scheduling and adjustment, especially tou power price mechanism
(time of use, TOU) and Spot Price mechanism (real time price, RTP).Under price type demand response mechanism,
Power supply company provides a user the unit price of time-varying, to reflect different times (including in intraday different moments or 1 year
Various Seasonal) electric power value.The time-varying characteristics of electricity price are characterized due to introducing self-elasticity coefficient and coefficient of cross elasticity, certain
The electricity consumption behavioral trait of one user can have some impact on the price of other users.At the same time, user needs the moment to pay close attention to
The variation of electricity price, this is also that the normal production and living of user have some impact on.
Summary of the invention
It is an object of the invention to overcome deficiency in the prior art, provide a kind of flexible load equipment dispatching method,
System and storage medium are conducive to the influence for avoiding external factor to user's electricity price.
In order to achieve the above objectives, the present invention adopts the following technical solutions realization:
In a first aspect, described method includes following steps the present invention provides a kind of dispatching method of flexible load equipment:
It constructs customer charge and uses function and load pricing function;
The load pricing scheme of adaptive energy consumption level is constructed, and the average energy consumption water of user's flexible load equipment is set
Electricity price in flat, the constant section of electricity price and respective bins;
Obtain the initial flexible load equipment scheduling scheme of user;
Minimizing energy consumption cost as target, constructing the optimal scheduling model of dynamic flexible load and solving;
If the expectation electric cost of user is not more than its practical electric cost, flexible load equipment scheduling scheme is updated,
Otherwise, the optimal scheduling model is iteratively solved;
If iterative solution number is less than the number of iterations upper limit, updated flexible load equipment scheduling scheme is exported;It is no
Then, horizontal new average energy consumption is set according to setting step-length, electricity price in the constant section of electricity price and respective bins, re-starts most
The calculating of excellent scheduling scheme.
With reference to first aspect, further, constructed customer charge is as follows using function:
Wherein, t represents sampling time interval;DtRepresent the energy consumption of all flexible load equipment in period t;P represents user
The set of all flexible load equipment;Represent energy consumption level of the flexible load equipment p in period t;T is sampling total duration.
With reference to first aspect, further, constructed load pricing function is as follows:
Wherein, t represents sampling time interval;DtRepresent the energy consumption of all flexible load equipment in period t;LtFor under period t
User's energy consumption level;Al,t、Bl,t、Cl,tIt is the calculating parameter under period t, with LtVariation and change;r1> 0, r2>=0, r3
>=0 is A respectivelyl,t、Bl,t、Cl,tFixation calculating parameter, obtained by the benefit calculation of power supply company.
With reference to first aspect, further, the construction method of the load pricing scheme includes:
It is different according to user's energy consumption level, different electricity prices are provided, as long as user's energy consumption level is within the specified scope, electricity price is not
Become;
According to user's energy consumption level rank, determine that the constant region PIB of an electricity price, PIB are the horizontal CL of average energy consumption
Twice, it is limited to CA+, lower limit CA- thereon, wherein CA+ is defined in the regular time periods of setting, and electricity price provides model in energy consumption at this time
It is constant in enclosing;CA- is defined in the peak period of setting, be user in order to the regular time periods electricity price for keeping with setting is identical and
Need reduced energy consumption.
With reference to first aspect, further, according to user's history energy consumption data, user's energy consumption level rank and thereon is determined
Lower limit;Whether user's energy consumption level, which is moved to the new region PIB, is depended on to the variation of sole user's electricity price.
With reference to first aspect, further, constructed optimal scheduling model is as follows:
Wherein, t represents sampling time interval;T represents sampling total duration;BDSThe expectation day collected for power supply company to user
Electric cost;BACFor the practical day electric cost that power supply company collects to user, by expectation day electric cost and additional day electricity consumption
Cost composition;For the additional power load of user;For the expectation power load of user;
BDSWith BACMeet following relationship:
When the additional power load of user is 0, the flexible load equipment scheduling scheme of user is optimal.
Second aspect, the present invention provides a kind of scheduling systems of flexible load equipment, which is characterized in that the system packet
It includes:
Function constructs module: using function and load pricing function for constructing customer charge;
Scheme constructs module: for constructing the load pricing scheme of adaptive energy consumption level, and user's flexible load is set
The average energy consumption of equipment is horizontal, the electricity price in the constant section of electricity price and respective bins;
Obtain module: for obtaining the initial flexible load equipment scheduling scheme of user;
Model construction module: for constructing the optimal scheduling mould of dynamic flexible load to minimize energy consumption cost as target
Type simultaneously solves;
It updates and solves module: when the expectation electric cost of user is not more than its practical electric cost, for updating flexibility
Load equipment scheduling scheme;Otherwise, the optimal scheduling model is iteratively solved;
Output module: if iterative solution number is less than the number of iterations upper limit, updated flexible load equipment is exported
Scheduling scheme;
The scheme constructs module is also used to: when iteratively solving number more than the number of iterations upper limit, according to setting step-length
Horizontal new average energy consumption is set, electricity price in the constant section of electricity price and respective bins.
The third aspect, the present invention also provides a kind of scheduling systems of flexible load equipment, including processor and storage to be situated between
Matter;It is characterized in that,
The storage medium is for storing instruction;
The processor is for the step of being operated according to described instruction to execute preceding method.
Fourth aspect, the present invention provides a kind of computer readable storage mediums, are stored thereon with computer program, the journey
The step of preceding method is realized when sequence is executed by processor.
Compared with prior art, the dispatching method of flexible load equipment provided by the invention, system and storage medium use
The load pricing scheme of adaptive energy consumption level, formulates different electricity prices for the user of different energy consumption levels, compared to tradition
Price demand response mechanism, it is possible to prevente effectively from the time-varying characteristics bring of external factor and electricity price influence;Compared to
Direct load controls for (direct load control, DLC), and the present invention will not supervise in real time flexible load equipment
Depending on control, can more preferably protection privacy of user in the case where, realize user's flexible load Optimized Operation, energy-saving and emission-reduction.
Specific embodiment
The invention will be further described below.Following embodiment is only used for clearly illustrating technical side of the invention
Case, and not intended to limit the protection scope of the present invention.
Flexible load equipment scheduling method provided in an embodiment of the present invention, comprising the following steps:
Step 1, according to user to the use preference of different type flexible load equipment, the load for constructing user uses function
And load pricing function.
The load of user is as follows using function representation:
Wherein, t represents sampling time interval, unit: hour;T represents sampling total duration, specifically, T=1 days, 24 is small
When;DtRepresent the energy consumption of all flexible load equipment in period t;P represents the set of user institute flexible load equipment, chooses resident
Ten kinds of exemplary flexible load equipments in user are studied, including electric furnace, micro-wave oven, kettle, toaster, vapour iron,
Dust catcher, water heater, dish-washing machine, washing machine and dryer;Represent energy consumption level of the equipment p in period t;T is period t
Sampling sum, setting sampling periods t be 5min, total duration be for 24 hours, at this time T be 288.
The load pricing function of user is expressed as follows:
Wherein, LtFor user's energy consumption level under period t, the ladder energy consumption level of user is set since 0.02kW, with
The step-length of 0.07kW increases step by step, rises to 11kW always, and totally 157 grades;Al,t、Bl,t、Cl,tIt is the calculating parameter under period t,
With LtVariation and change;At the same time, r1> 0, r2>=0, r3>=0 is A respectivelyl,t、Bl,t、Cl,tFixation calculating parameter,
R is set1=12.5, r2=6, r3=0.72.Therefore, the load pricing function of user is by user's energy consumption level LtAnd user institute
The energy consumption D of flexible load equipmenttIt determines.
Step 2, the load pricing scheme of adaptive energy consumption level is constructed.
Power supply company provides it different electricity prices according to the difference of user itself energy consumption level;As long as and the energy of user
Within the specified scope, electricity price will not all change consumption.For the energy consumption level rank of each division, there are a price is constant
Region PIB, bandwidth are set as 0.14kW.PIB is twice of the horizontal CL of average energy consumption, is limited to CA+, lower limit CA- thereon.Its
In, CA+ is defined in regular time periods, and electricity price is constant in energy consumption prescribed limit at this time;CA- is defined in peak period, is to use
Family needs reduced energy consumption to keep identical as regular time periods electricity price.CA+ and CA- are disposed as on ladder energy consumption level
Under ± 0.7kW energy consumption level at.
Assuming that with that can install intelligent electric meter per family, energy consumption data is collected from user terminal by power supply company.Based on historical data,
Its typical energy consumption level of user and its bound are informed by power supply company, and electricity price is arranged according to its energy consumption level present position, just
Its electricity consumption behavior is constrained in user.To the raising and lowering of sole user's electricity price depend on its energy consumption level whether be moved to it is new
The region PIB.Corresponding to the different energy consumption step horizontals of user, power supply company is the step price of user setting from 0.02 yuan/kWh
Start, to increase step by step for 0.003 yuan/kWh as step-length, rises to 0.46 yuan/kWh always.At the same time, be arranged it is daily just
Normal working hour is 16 hours, is distributed in these three periods of 01:00 to 07:00,11:00 to 18:00 and 22:00 to 01:00
It is interior;Be arranged the daily peak activity period be 8 hours, be distributed in 07:00 to 11:00 and 18:00 to 22:00 the two when
In section.
Step 3, by the user's history electricity consumption data being collected into, the initial flexible load equipment scheduling side of user is obtained
Case, with StAnd EtIndicate duration TDAt the beginning of and finish time, during this period of time, equipment is in operating status.It occupies
The initial schedule scheme of ten kinds of civilian family exemplary flexible load equipment is as shown in table 1.At the beginning of 10 kinds of exemplary flexible load equipments of table
Beginning scheduling scheme
As shown in Table 1, exemplary apparatus 1 (electric furnace) plan twice, continues at least in every morning and at night operation respectively
30min and 50min arrives t=240 (20:00) in t=60 (05:00) to t=84 (07:00) and t=192 (16:00)
Electric furnace is opened in two periods;Operation is primary daily for exemplary apparatus 2 (micro-wave oven) plan, continues at least 10min, Ying t=
Micro-wave oven is opened in 216 (18:00) to the period of t=228 (19:00);Other exemplary apparatus are similarly.
Step 4, as follows as target building dynamic flexible load optimal scheduling model to minimize energy consumption cost:
Wherein, BDSThe expectation day electric cost collected for power supply company to user;BACIt is collected for power supply company to user
Practical day electric cost, is made of expectation electric cost and additional electric cost;BDSWith BACMeet following relationship:
Wherein,For the additional power load of user;For the expectation power load of user.Additional as user is born
Lotus is 0, i.e., in the case that user is without using additional electric energy within the scope of defined energy consumption level, the flexible load of user is set
Standby scheduling scheme may be implemented optimal.According to step (2) to step (3) data obtained and operation constraint condition, to dynamic
The optimal scheduling model of flexible load is solved.
Step 5, if step 4 calculates resulting user and it is expected that electric cost no more than the practical electric cost of user, updates
The scheduling scheme of flexible load equipment;Otherwise, jump procedure 4 continues to solve.
Step 6, if the number of iterations is met the requirements, updated scheduling scheme is exported;Otherwise, jump procedure 2, according to
Horizontal new average energy consumption is arranged in regulation step-length, electricity price in the constant section of electricity price and respective bins, then re-starts optimal tune
The calculating of degree scheme.
The Optimized Operation scheme of ten kinds of exemplary flexible load equipments of resident is as shown in table 2, wherein OStAnd OEtGeneration respectively
At the beginning of under the table equipment optimal scheduling scheme and finish time.During this period of time, equipment is in operating status.
The Optimized Operation scheme of 20 kinds of exemplary flexible load equipments of table
Device numbering | Device name | Rated power (W) | Allow duration (slot/day) | OSt(slot) | OEt (slot) |
1 | Electric furnace | 3000 | 6 | 77 | 83 |
10 | 202 | 212 | |||
2 | Micro-wave oven | 1230 | 2 | 216 | 218 |
3 | Kettle | 1900 | 2 | 74 | 76 |
2 | 224 | 226 | |||
4 | Toaster | 1010 | 2 | 72 | 74 |
5 | Vapour iron | 1235 | 10 | 192 | 202 |
6 | Dust catcher | 1200 | 6 | 107 | 113 |
7 | Water heater | 2600 | 24 | 48 | 72 |
24 | 192 | 216 | |||
8 | Dish-washing machine | 2500 | 30 | 253 | 283 |
9 | Washing machine | 3000 | 9 | 192 | 201 |
10 | Dryer | 3300 | 6 | 218 | 224 |
As shown in Table 2, it is proposed that the Best Times arrangement of exemplary apparatus 1 (electric furnace) is OS in the morningt=77 (06:25) are extremely
OEt=83 (06:55) and OS in afternoont=202 (16:50) to OEtFurnace equipment is opened in=212 (17:40) periods to be made
With;The suggestion Best Times of exemplary apparatus 2 (micro-wave oven) are arranged then to be evening OSt=216 (18:00) to OEt=218
Micro-wave oven is opened in (18:10) period to use.The analysis of remaining exemplary apparatus is similarly.
The embodiment of the invention also provides a kind of scheduling system of flexible load equipment, can be used in executing side above-mentioned
Method, the system comprises:
Function constructs module: using function and load pricing function for constructing customer charge;
Scheme constructs module: for constructing the load pricing scheme of adaptive energy consumption level, and user's flexible load is set
The average energy consumption of equipment is horizontal, the electricity price in the constant section of electricity price and respective bins;
Obtain module: for obtaining the initial flexible load equipment scheduling scheme of user;
Model construction module: for constructing the optimal scheduling mould of dynamic flexible load to minimize energy consumption cost as target
Type simultaneously solves;
It updates and solves module: when the expectation electric cost of user is not more than its practical electric cost, for updating flexibility
Load equipment scheduling scheme;Otherwise, the optimal scheduling model is iteratively solved;
Output module: if iterative solution number is less than the number of iterations upper limit, updated flexible load equipment is exported
Scheduling scheme;
The scheme constructs module is also used to: when iteratively solving number more than the number of iterations upper limit, according to setting step-length
Horizontal new average energy consumption is set, electricity price in the constant section of electricity price and respective bins.
The embodiment of the invention also provides a kind of scheduling system of flexible load equipment, similarly can be used in executing aforementioned
Method, including processor and storage medium;
The storage medium is for storing instruction;
The processor is for the step of being operated according to described instruction to execute preceding method.
The present invention provides a kind of computer readable storage mediums, are stored thereon with computer program, and the program is processed
The step of preceding method is realized when device executes.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the application
The form of embodiment.Moreover, it wherein includes the calculating of computer usable program code that the application, which can be used in one or more,
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improve and become
Shape also should be regarded as protection scope of the present invention.
Claims (9)
1. a kind of dispatching method of flexible load equipment, which is characterized in that described method includes following steps:
It constructs customer charge and uses function and load pricing function;
The load pricing scheme of adaptive energy consumption level is constructed, and the average energy consumption that user's flexible load equipment is arranged is horizontal, electricity
Electricity price in the constant section of valence and respective bins;
Obtain the initial flexible load equipment scheduling scheme of user;
Minimizing energy consumption cost as target, constructing the optimal scheduling model of dynamic flexible load and solving;
If the expectation electric cost of user is not more than its practical electric cost, flexible load equipment scheduling scheme is updated, otherwise,
Iteratively solve the optimal scheduling model;
If iterative solution number is less than the number of iterations upper limit, updated flexible load equipment scheduling scheme is exported;Otherwise, it presses
Horizontal new average energy consumption is set according to setting step-length, electricity price in the constant section of electricity price and respective bins, re-starts optimal tune
The calculating of degree scheme.
2. the dispatching method of flexible load equipment according to claim 1, which is characterized in that constructed customer charge makes
It is as follows with function:
Wherein, t represents sampling time interval;DtRepresent the energy consumption of all flexible load equipment in period t;It is all soft that P represents user
The set of property load equipment;Represent energy consumption level of the flexible load equipment p in period t;T is sampling total duration.
3. the dispatching method of flexible load equipment according to claim 1, which is characterized in that constructed load price letter
Number is as follows:
Wherein, t represents sampling time interval;DtRepresent the energy consumption of all flexible load equipment in period t;LtFor the use under period t
Family energy consumption level;Al,t、Bl,t、Cl,tIt is the calculating parameter under period t, with LtVariation and change;r1> 0, r2>=0, r3≥0
It is A respectivelyl,t、Bl,t、Cl,tFixation calculating parameter, obtained by the benefit calculation of power supply company.
4. the dispatching method of flexible load equipment according to claim 1, which is characterized in that the load pricing scheme
Construction method includes:
It is different according to user's energy consumption level, different electricity prices are provided, as long as user's energy consumption level is within the specified scope, electricity price is constant;
According to user's energy consumption level rank, determine that the constant region PIB of an electricity price, PIB are twice of the horizontal CL of average energy consumption,
It is limited to CA+, lower limit CA- thereon, wherein CA+ is defined in the regular time periods of setting, and electricity price is equal in energy consumption prescribed limit at this time
For constant;CA- is defined in the peak period of setting, is user in order to which the regular time periods electricity price for keeping with setting is identical and needs to subtract
Few energy consumption.
5. the dispatching method of flexible load equipment according to claim 4, which is characterized in that according to user's history energy consumption number
According to determining user's energy consumption level rank and its bound;Whether user's energy consumption level, which moves, is depended on to the variation of sole user's electricity price
Move the new region PIB.
6. the dispatching method of flexible load equipment according to claim 1, which is characterized in that constructed optimal scheduling mould
Type is as follows:
Wherein, t represents sampling time interval;T represents sampling total duration;BDSThe expectation day electricity consumption collected for power supply company to user
Cost;BACFor the practical day electric cost that power supply company collects to user, by expectation day electric cost and additional day electric cost
Composition;For the additional power load of user;For the expectation power load of user;
BDSWith BACMeet following relationship:
When the additional power load of user is 0, the flexible load equipment scheduling scheme of user is optimal.
7. a kind of scheduling system of flexible load equipment, which is characterized in that the system comprises:
Function constructs module: using function and load pricing function for constructing customer charge;
Scheme constructs module: for constructing the load pricing scheme of adaptive energy consumption level, and user's flexible load equipment is set
Average energy consumption is horizontal, the electricity price in the constant section of electricity price and respective bins;
Obtain module: for obtaining the initial flexible load equipment scheduling scheme of user;
Model construction module: for constructing the optimal scheduling model of dynamic flexible load simultaneously to minimize energy consumption cost as target
It solves;
It updates and solves module: when the expectation electric cost of user is not more than its practical electric cost, for updating flexible load
Equipment scheduling scheme;Otherwise, the optimal scheduling model is iteratively solved;
Output module: if iterative solution number is less than the number of iterations upper limit, updated flexible load equipment scheduling is exported
Scheme;
The scheme constructs module is also used to: when iteratively solving number more than the number of iterations upper limit, according to setting step-length setting
New average energy consumption is horizontal, electricity price in the constant section of electricity price and respective bins.
8. a kind of scheduling system of flexible load equipment, which is characterized in that including processor and storage medium;
The storage medium is for storing instruction;
The processor is used to be operated according to described instruction to execute any one of according to claim 1~6 the method
Step.
9. computer readable storage medium is stored thereon with computer program, which is characterized in that when the program is executed by processor
The step of realizing any one of claim 1~6 the method.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811450472.1A CN109687429B (en) | 2018-11-30 | 2018-11-30 | Scheduling method, system and storage medium of flexible load equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811450472.1A CN109687429B (en) | 2018-11-30 | 2018-11-30 | Scheduling method, system and storage medium of flexible load equipment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109687429A true CN109687429A (en) | 2019-04-26 |
CN109687429B CN109687429B (en) | 2020-11-10 |
Family
ID=66185905
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811450472.1A Active CN109687429B (en) | 2018-11-30 | 2018-11-30 | Scheduling method, system and storage medium of flexible load equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109687429B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113033870A (en) * | 2021-02-25 | 2021-06-25 | 国网河北省电力有限公司营销服务中心 | Flexible load scheduling method for power special transformer customer and terminal equipment |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103679357A (en) * | 2013-12-06 | 2014-03-26 | 国网山东省电力公司 | Power demand response intelligent decision method based on price and excitation |
CN107482618A (en) * | 2017-07-20 | 2017-12-15 | 国家电网公司 | Electricity pricing method with the generating of wind fire and the power network of flexible load containing polymorphic type |
-
2018
- 2018-11-30 CN CN201811450472.1A patent/CN109687429B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103679357A (en) * | 2013-12-06 | 2014-03-26 | 国网山东省电力公司 | Power demand response intelligent decision method based on price and excitation |
CN107482618A (en) * | 2017-07-20 | 2017-12-15 | 国家电网公司 | Electricity pricing method with the generating of wind fire and the power network of flexible load containing polymorphic type |
Non-Patent Citations (1)
Title |
---|
杨永标等: "居民用户智能用电建模及优化仿真分析", 《电力系统自动化》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113033870A (en) * | 2021-02-25 | 2021-06-25 | 国网河北省电力有限公司营销服务中心 | Flexible load scheduling method for power special transformer customer and terminal equipment |
CN113033870B (en) * | 2021-02-25 | 2022-04-26 | 国网河北省电力有限公司营销服务中心 | Flexible load scheduling method for power special transformer customer and terminal equipment |
Also Published As
Publication number | Publication date |
---|---|
CN109687429B (en) | 2020-11-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Luo et al. | Optimal home energy management system with demand charge tariff and appliance operational dependencies | |
Jindal et al. | Consumption-aware data analytical demand response scheme for peak load reduction in smart grid | |
Wei et al. | A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy | |
Sharifi et al. | Energy management of smart homes equipped with energy storage systems considering the PAR index based on real-time pricing | |
Iwafune et al. | Cooperative home energy management using batteries for a photovoltaic system considering the diversity of households | |
US9310792B2 (en) | Scheduling and modeling the operation of controllable and non-controllable electronic devices | |
CN104778504B (en) | A kind of electricity consumption of domestic consumer's intelligent appliance arranges optimization method | |
CN110044020B (en) | Demand side response method considering comfort degree of air conditioner user | |
CN106846179B (en) | Resident load double-layer scheduling optimization method based on non-cooperative game | |
CN103617566B (en) | A kind of intelligent electric power utilization system based on Spot Price | |
CN113452020A (en) | Electric hydrogen energy system scheduling method considering flexible hydrogen demand | |
Roux et al. | Comfort, peak load and energy: Centralised control of water heaters for demand-driven prioritisation | |
Xu et al. | Demand side management for smart grid based on smart home appliances with renewable energy sources and an energy storage system | |
CN110209135B (en) | Family energy optimization scheduling method based on micro cogeneration multi-time scale | |
KR101544463B1 (en) | A control method for controlling energy of building based ob microgrid and system for same | |
KR101493264B1 (en) | a control method for the Regulating Energy and system for that | |
Diduch et al. | Aggregated domestic electric water heater control-building on smart grid infrastructure | |
GR20190100088A (en) | Method for improving the energy management of a nearly zero energy building | |
Masuta et al. | System frequency control by heat pump water heaters (HPWHs) on customer side based on statistical HPWH model in power system with a large penetration of renewable energy sources | |
CN109190799B (en) | Collaborative optimization control method and device for industrial and commercial temperature control load | |
CN111027747A (en) | Household energy control method considering user comfort risk preference | |
Xue et al. | Interactive building load management for smart grid | |
Borsche et al. | Scenario-based MPC for energy schedule compliance with demand response | |
CN109687429A (en) | A kind of dispatching method, system and the storage medium of flexible load equipment | |
Zhuang et al. | Micro-grid energy storage location and sizing optimization method based on demand response |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |