CN106532721A - Multi-scale direct load control method of electric water heater group - Google Patents
Multi-scale direct load control method of electric water heater group Download PDFInfo
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- CN106532721A CN106532721A CN201611251599.1A CN201611251599A CN106532721A CN 106532721 A CN106532721 A CN 106532721A CN 201611251599 A CN201611251599 A CN 201611251599A CN 106532721 A CN106532721 A CN 106532721A
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H9/00—Details
- F24H9/20—Arrangement or mounting of control or safety devices
- F24H9/2007—Arrangement or mounting of control or safety devices for water heaters
- F24H9/2014—Arrangement or mounting of control or safety devices for water heaters using electrical energy supply
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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
- 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
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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
- 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
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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
- 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
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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
- Y04S20/222—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
- 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
-
- 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
- Y04S20/244—Home appliances the home appliances being or involving heating ventilating and air conditioning [HVAC] units
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Heat-Pump Type And Storage Water Heaters (AREA)
Abstract
The invention discloses a multi-scale direct load control method of an electric water heater group. The method comprises the following steps: generating single electric heater daily water data according to a family daily load curve, and setting multi-scale according to an electric power system daily load curve; and aggregating the electric water heater to form multiple water electric heater groups; and performing a quantum evolutionary algorithm on each scale of the water heater group to obtain an optimal control strategy. Through the adoption of the method disclosed by the invention, the peak-clipping and valley-filling can be effectively performed, and the method has important significance for the stability and the economy of the electrical power system.
Description
Technical field
The present invention relates to electric heater group direct load control optimization, in particular, be by introduce it is multiple dimensioned enter one
Step realizes the optimization direct load control of electric heater group.
Background technology
Power consumer constantly increases the peak-load requirement more and more higher for causing electrical network, and passes through constantly to extend power system
It is not rational solution to solve peak-load requirement.Direct load control is based on this and produces, by adjusting
Partial peaks load is transferred to off-peak period by whole corresponding load curve, to reach the effect of peak load shifting.And electric heater
Group is modal controllable direct load, realizes that load is shifted by adjusting water heater mode of heating.
The content of the invention
The technical problem to be solved in the present invention is the drawbacks described above for overcoming prior art to exist, there is provided a kind of without the need for enlarging
Power system can solve the multiple dimensioned direct load control method of electric heater group of peak-load requirement.
The technical solution adopted for the present invention to solve the technical problems is：
A kind of multiple dimensioned direct load control method of electric heater group, comprises the steps：
（1）Family's daily load curve is obtained by statistics, because electric heater is resistance class component, will be steep in family's daily load curve
Increment is with the extracting section that steep depreciation is power of electric water heater out, you can obtains electric heater routine work state, generates single
The basic civil water data of individual electric heater.
（2）By multiple electric heaters according to the thermostatically controlled temperature bound of setting, capacity, rated power and basic day
Water data is divided into multiple electric heater groups N, N >=1.
（3）By power system daily load curve, daily load curve is divided into into three major types：Crest/trough/intermediate state, pin
To each big class persistent period, the target power yardstick P and each water heater group under three major types state is generated respectively in three major types shape
Time scale Ts under state.Target power yardstick P be by the total workload demand of power system in a certain state duration section with
And electric heater overall power requirement is determined.Target scale power P 3 in the intermediate state time period is total electric heater group（Own
Electric heater group）The actual average power produced under the effect such as hot water use state and radiating；Mesh in peak time section
Scale power P 1 is less than the target scale power P 3 in the intermediate state time period, the target scale power P 1 in peak time section
It is worth the total rated power that the minimum electric heater group of total rated power is deducted for the target scale power P 3 in the intermediate state time period；
Target scale power P 2 in decrease amount section is more than the target scale power P 3 in the intermediate state time period, in decrease amount section
The value of target scale power P 2 is electric hot water of the target scale power P 3 in the intermediate state time period plus total rated power minimum
The total rated power of device group.Time scale Ts is set according to each electric heater group water-use model, and its minimum cannot be below electric heating
The minimum heat time heating time that water heater structure performance is determined, its upper limit must not exceed the water heater maximum heating time.Within this range, abide by
Follow Ts in peak time section Ts in decrease amount section is less than less than Ts in the intermediate state time period.The bigger Ts of Water tank for electrical water heater volume
Bigger, higher Ts is less for electric heater rated power.
（4）Optimal control policy is obtained according to the target scale P under three major types state, time scale Ts, it is specific as follows：
（4.1）Initialization electric heater temperature, initializes temperature and is located in the thermostatically controlled temp bound of electric heater setting；
（4.2）According to each the electric heater actual temperature in each electric heater group, each heat in each electric heater group is obtained
The reference power of hydrophone, by the reference power PT of each each electric heater group of water heater reference power Accumulating generation in each group,
PT is made up of two groups of data, and one group of expression electric heater group control strategy state is 1, and another group of expression electric heater group controls plan
Slightly state is 0（Electric heater group control strategy state be 1 when, electric heater group in can heated condition, can obtain from electrical network
Electric energy；When electric heater group control strategy state is 0, electric heater group is in can not heated condition, it is not possible to obtain from electrical network
Electric energy）.The reference power computational methods of each water heater are as follows：（4.2.1）To ensure user's impression, electric heater actual temperature
The thermostatically controlled temp bound of setting can not be exceeded, if temperature is higher than the upper limit, no matter control strategy state is 0 or 1, also must
This electric heater must be turned off, prevent this electric heater from electrical network from obtaining energy, now this water heater reference power is [0,0]；
（4.2.2）If actual temperature is less than lower limit, no matter control strategy state is 0 or 1, and this electric heater will also be opened, and make this
Electric heater can be heated, and now this water heater reference power is [Pr, Pr], and Pr is this electric heater rated power；（4.2.3）
When actual temperature is between bound, and force be less than time scale Ts heat time heating time, now this water heater reference power
For [Pr, Pr]；（4.2.4）Other when, this water heater reference power be [Pr, 0].
（4.3）Reference power PT, target scale power P according to each electric heater group, is obtained by quantum evolutionary algorithm
Optimal control policy u, u are one group of character strings being made up of 0 or 1, and each represents correspondence electric heater group control strategy state
（0 or 1）.
Quantum algorithm is calculated and can be found in a kind of new quantum evolution method of patent（Application number：201410831269.4）.
（4.4）By step（4.3）The optimal control policy for obtaining is applied to each water heater group, by performing control strategy control
The work of each water heater group is made, so as to realize that load is shifted；Each electric heater in each electric heater group of measurement subsequent time
Actual temperature；
（4.5）Proceed to step（4.2）, each electric heating that measurement of constantly reruning is obtained in each electric heater group of subsequent time
Hydrophone actual temperature, until human intervention stops and terminates.
Step（3）In, the target scale power P 3 in the intermediate state time period is total electric heater group（I.e. all electric heaters
Group）The actual average power produced under the effect such as hot water use state and radiating, i.e., all electric heaters are in the same terms
Under, when not adopting control strategy power consumption meansigma methodss it is cumulative and.
Step（3）In, the total rated power of electric heater group refers to all single electric heaters in this electric heater group
Rated power sum.
The step（2）In, if electric electric heater sum is 1000,1000 water heaters are aggregated into into 10 electric hot water
Device group.
The present invention passes through setting time yardstick Ts and thermostatically controlled temperature bound, and passes through control strategy electric hot water
Device start and stop, it is ensured that Consumer's Experience simultaneously meets the actually used pattern of electric heater.
By introducing target scale P and minimum Ts heat time heating time, the present invention realizes that load is shifted, amendment electric heater group is born
Lotus curve so that electric heater reduces power system peak value on daytime period load burden, realizes cutting in peak load reduction on daytime
Peak load, improves stability of power system.
Description of the drawings
Fig. 1 is the flow chart of the multiple dimensioned direct load control method of electric heater group of the present invention；
Fig. 2 is for multiple dimensioned direct load control result and without control comparison diagram；
Fig. 3 is water heater temperature time changing curve.
Specific embodiment
The present invention is described in more detail with example below in conjunction with the accompanying drawings.
With reference to Fig. 1, this method is comprised the following steps：
（1）Step 101 is first carried out, is obtained according to family's daily load curve statistics, single water heater daily water consumption base=[6 4
3 3 1 5 13 48 33 36 27 26 23 23 24 15 17 16 24 32 26 17 23 24];
（2）Execution step 102, by 1000 water heaters（General power 3600kw）According to power, capacity, temperature bound and day
It is divided into 10 groups with water consumption, be respectively [55 °C, 50 °C, 120L, 3000W, 2/3*base], [55 °C, 50 °C,
160L, 3000W, base],[55°C, 50°C, 200L, 3000W, 1.2*base], [55°C, 50°C, 320L,
3000W, 1.5*base], [55°C , 50°C, 320L, 6000W, 1.5*base],[50°C,45°C, 120L,
3000W, 2/3*base], [50°C, 45°C, 160L, 3000W, base], [50°C, 45°C, 200L, 3000W,
1.2*base], [50°C, 45°C, 320L, 3000W, 1.5*base], [50°C, 45°C, 320L, 6000W,
1.5*base]；
（3）Execution step 103, according to power system daily load curve, from zero point to 1 point, from 17 points to 0 point, is not at day-sign
The crest or trough for closing curve is interval, positioned at intermediate state, target scale P=P1=930kw, Ts be respectively [6min, 7min,
8min, 9min, 7min, 5min, 6min, 7min, 8min, 6min] ；From 1 point to 6 points, in daily load curve ripple
Paddy is interval, target scale P=P2=12300kw, Ts be respectively [12min, 14min, 16min, 18min, 14min,
10min, 12min, 14min, 16min, 12min]；From 6 points to 17 points, the crest in daily load curve is interval, target
Yardstick P=P3=630kw, Ts be respectively [4min, 4min, 5min, 6min, 4min, 3min, 4min, 4min, 6min,
5min]；
（4）Execution step 104, initializes electric heater temperature T, and temperature is in the temperature threshold of electric heater setting；
（5）Execution step 105, according to each the electric heater actual temperature in each electric heater group, obtains each electric heater group
The reference power of each interior water heater, by the ginseng of each each electric heater group of water heater reference power Accumulating generation in each group
Power P T is examined, PT is made up of two groups of data, it is 1 that one group is electric heater group control strategy state, and another group is electric heater group
Control strategy state is 0（When state is 1 electric heater group in can heated condition, electric energy can be obtained from electrical network, state is 0
When electric heater group in can not heated condition, it is not possible to obtain electric energy from electrical network.It is as follows with specific reference to power calculation algorithms：
（1）To ensure user's impression, temperature can not exceed the thermostatic control bound of setting, if temperature is higher than the upper limit, no matter control plan
Slightly state why, it is also necessary to turns off the water heater, prevents electric heater from electrical network from obtaining energy, now the water heater refers to work(
Rate is [0,0]；（2）If temperature is less than lower limit, no matter why control strategy state is worth, and electric heater will also be opened, and make electric heating
Hydrophone can be heated, and now the water heater reference power is [Pr, Pr], and Pr is to change electric heater rated power；（3）At temperature
When between bound, and force be less than Ts heat time heating time, now the water heater reference power is [Pr, Pr]；（4）Other when
Wait, change water heater reference power for [Pr, 0].By each water heater reference power Accumulating generation reference power PT in each group；
（6）Execution step 106, the reference power PT, target scale power P according to each electric heater group are calculated by quantum evolution
Method obtains optimal control policy u, and u is one group of character string being made up of 0 or 1, and each represents correspondence electric heater group control plan
The state of omiting（0 or 1）.
It is as follows that quantum evolution method finds optimal control policy process：Initial population is generated, initial optimum control plan is generated
Slightly；Observation population generates quantum state；Fitness function is calculated, and work(is referred to for each electric heater group under every kind of strategy in the present invention
Rate PT sum, the absolute value with the difference of target power yardstick P, it is optimum control plan in this generation that minimum absolute value is corresponding
Slightly, compare with existing optimal control policy, select the less control strategy of absolute value to be new optimal control policy；Select essence
BTC group, generates Quantum rotating gate；Population of future generation evolve until meeting stop condition.Final optimal control policy output.
（7）The optimal control policy that step 106 is obtained is applied to each water heater group by execution step 107, so as to realize bearing
Lotus shifts；The actual temperature of each electric heater in each electric heater group of measurement subsequent time.
Each element representation correspondence electric heating when optimal control policy is applied to each water heater group, in optimal control policy
The control strategy state of hydrophone group, if element is 0, then it represents that corresponding electric heater group is performed and stops heating action, if element
For 1, then it represents that corresponding electric heater group performs continuous heating action；
（8）Step 105 is proceeded to, measurement of constantly reruning obtains the electric heater temperature and actual power of subsequent time, until
Human intervention stops and terminates.
As can be seen from Figure 2, first time to peak is moved forward to avoid other power equipment day work by control strategy
Make starting time, reduce the impact to power system.From 8：00 to 17：00 is the routine work time, within the time period electricity
Force system has loaded the power system day such as substantial amounts of industrial equipment, office equipment basic load, by control strategy, by water heater
Organize overall power demand to greatly reduce, and make water heater group meet change and be maintained in a less scope, reduce
Impact to system.During by control strategy so that electric heater electric energy consumption avoids power system high load capacity on daytime as much as possible
Phase is transferred to night non-electrical peak period, according to the principle of tou power price, will be obtained using the user of control strategy and very may be used
The economic saving of sight.
Fig. 3 is water heater hot-water temperature time changing curve, it can be found that its temperature is in 55 °C -50 °C, does not affect to use
Family uses.
Therefore, a kind of multiple dimensioned direct load control method of electric heater can be effectively realized peak load shifting effect, drop
The low peak load of power system.On the premise of user's comfort is not affected, cost of use is low, and economic worth is high.
Claims (3)
1. the multiple dimensioned direct load control method of a kind of electric heater group, it is characterised in that comprise the steps：
（1）Family's daily load curve is obtained by statistics, because electric heater is resistance class component, will be steep in family's daily load curve
Increment is with the extracting section that steep depreciation is power of electric water heater out, you can obtains electric heater routine work state, generates single
The basic civil water data of individual electric heater；
（2）By multiple electric heaters according to the thermostatically controlled temperature bound of setting, capacity, rated power and basic civil water
Data are divided into multiple electric heater groups N, N >=1；
（3）By power system daily load curve, daily load curve is divided into into three major types：Crest/trough/intermediate state, for each
The big class persistent period, the target power yardstick P and each water heater group under generation three major types state is under three major types state respectively
Time scale Ts；Target power yardstick P is by the total workload demand of power system and electricity in a certain state duration section
Water heater overall power requirement is determined；Target scale power P 3 in the intermediate state time period is the i.e. all electric hot water of total electric heater group
The actual average power that device group is produced under the effect such as hot water use state and radiating；Target scale work(in peak time section
Less than the target scale power P 3 in the intermediate state time period, the value of the target scale power P 1 in peak time section is centre to rate P1
Target scale power P 3 in the state time period deducts the total rated power of the minimum electric heater group of total rated power；Decrease amount
Target scale power P 2 in section is more than the target scale power P 3 in the intermediate state time period, the target scale in decrease amount section
The value of power P 2 is that the target scale power P 3 in the intermediate state time period adds the total of the minimum electric heater group of total rated power
Rated power；Time scale Ts is set according to each electric heater group water-use model, and its minimum cannot be below electric heater structure
The minimum heat time heating time that performance is determined, its upper limit must not exceed the water heater maximum heating time；Within this range, it then follows during crest
Between in section Ts less than Ts in the intermediate state time period less than Ts in decrease amount section；Bigger Ts is bigger for Water tank for electrical water heater volume, electricity
Higher Ts is less for water heater rated power；
（4）Optimal control policy is obtained according to the target scale P under three major types state, time scale Ts, it is specific as follows：
（4.1）Initialization electric heater temperature, initializes temperature and is located in the thermostatically controlled temp bound of electric heater setting；
（4.2）According to each the electric heater actual temperature in each electric heater group, each heat in each electric heater group is obtained
The reference power of hydrophone, by the reference power PT of each each electric heater group of water heater reference power Accumulating generation in each group,
PT is made up of two groups of data, and one group of expression electric heater group control strategy state is 1, and another group of expression electric heater group controls plan
Slightly state is 0, when electric heater group control strategy state is 1, electric heater group in can heated condition, can obtain from electrical network
Electric energy；When electric heater group control strategy state is 0, electric heater group is in can not heated condition, it is not possible to obtain from electrical network
Electric energy；The reference power computational methods of each water heater are as follows：（4.2.1）To ensure user's impression, electric heater actual temperature
The thermostatically controlled temp bound of setting can not be exceeded, if temperature is higher than the upper limit, no matter control strategy state is 0 or 1, also must
This electric heater must be turned off, prevent this electric heater from electrical network from obtaining energy, now this water heater reference power is [0,0]；
（4.2.2）If actual temperature is less than lower limit, no matter control strategy state is 0 or 1, and this electric heater will also be opened, and make this
Electric heater can be heated, and now this water heater reference power is [Pr, Pr], and Pr is this electric heater rated power；（4.2.3）
When actual temperature is between bound, and force be less than time scale Ts heat time heating time, now this water heater reference power
For [Pr, Pr]；（4.2.4）Other when, this water heater reference power be [Pr, 0]；
（4.3）Reference power PT, target scale power P according to each electric heater group, obtains optimum by quantum evolutionary algorithm
Control strategy u, u are one group of character strings being made up of 0 or 1, and each represents correspondence electric heater group control strategy state 0 or 1；
（4.4）By step（4.3）The optimal control policy for obtaining is applied to each water heater group, each by performing control strategy control
The work of water heater group, so as to realize that load is shifted；Each electric heater reality in each electric heater group of measurement subsequent time
Temperature；
（4.5）Proceed to step（4.2）, each electric heating that measurement of constantly reruning is obtained in each electric heater group of subsequent time
Hydrophone actual temperature, until human intervention stops and terminates.
2. the multiple dimensioned direct load control method of electric heater group according to claim 1, it is characterised in that the step
（2）In, if electric electric heater sum is 1000,1000 water heaters are aggregated into into 10 electric heater groups.
3. the multiple dimensioned direct load control method of electric heater group according to claim 1, it is characterised in that by setting
Ts and thermostatically controlled temperature bound, and electric heater start and stop are realized by control strategy, it is ensured that Consumer's Experience simultaneously meets
The actually used pattern of electric heater.
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| CN107202428A (en) * | 2017-06-28 | 2017-09-26 | 合肥工业大学 | A kind of single electric heater method for estimating state |
| CN107461935A (en) * | 2017-09-01 | 2017-12-12 | 杭州康泉热水器有限公司 | The control system of electric heater |
| CN107702346A (en) * | 2017-10-18 | 2018-02-16 | 合肥工业大学 | A kind of electric water heater duty control method |
| CN108489108A (en) * | 2018-04-12 | 2018-09-04 | 国网江苏省电力有限公司电力科学研究院 | A kind of duty control method based on electric heater load group model |
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| CN107202428A (en) * | 2017-06-28 | 2017-09-26 | 合肥工业大学 | A kind of single electric heater method for estimating state |
| CN107202428B (en) * | 2017-06-28 | 2020-10-16 | 合肥工业大学 | State estimation method for single electric water heater |
| CN107461935A (en) * | 2017-09-01 | 2017-12-12 | 杭州康泉热水器有限公司 | The control system of electric heater |
| CN107461935B (en) * | 2017-09-01 | 2019-11-22 | 杭州康泉热水器有限公司 | The control system of electric heater |
| CN107702346A (en) * | 2017-10-18 | 2018-02-16 | 合肥工业大学 | A kind of electric water heater duty control method |
| CN107702346B (en) * | 2017-10-18 | 2019-10-01 | 合肥工业大学 | A kind of electric heater duty control method |
| CN108489108A (en) * | 2018-04-12 | 2018-09-04 | 国网江苏省电力有限公司电力科学研究院 | A kind of duty control method based on electric heater load group model |
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