CN110045626A - The Intelligent housing strategy changed based on temperature - Google Patents
The Intelligent housing strategy changed based on temperature Download PDFInfo
- Publication number
- CN110045626A CN110045626A CN201910396809.3A CN201910396809A CN110045626A CN 110045626 A CN110045626 A CN 110045626A CN 201910396809 A CN201910396809 A CN 201910396809A CN 110045626 A CN110045626 A CN 110045626A
- Authority
- CN
- China
- Prior art keywords
- load
- time slot
- water heater
- temperature
- individual
- 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.)
- Pending
Links
- 230000033228 biological regulation Effects 0.000 claims abstract description 40
- 238000011217 control strategy Methods 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 14
- 238000006116 polymerization reaction Methods 0.000 claims abstract description 13
- 238000012937 correction Methods 0.000 claims abstract description 8
- 230000002776 aggregation Effects 0.000 claims abstract description 5
- 238000004220 aggregation Methods 0.000 claims abstract description 5
- 238000010223 real-time analysis Methods 0.000 claims abstract description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 104
- 230000009897 systematic effect Effects 0.000 claims description 11
- 230000009471 action Effects 0.000 claims description 9
- 230000001174 ascending effect Effects 0.000 claims description 6
- 238000010438 heat treatment Methods 0.000 claims description 6
- 239000003795 chemical substances by application Substances 0.000 claims description 5
- 230000009467 reduction Effects 0.000 claims description 5
- 235000006508 Nelumbo nucifera Nutrition 0.000 claims 1
- 240000002853 Nelumbo nucifera Species 0.000 claims 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 claims 1
- 238000006243 chemical reaction Methods 0.000 claims 1
- 230000005611 electricity Effects 0.000 abstract description 8
- 230000008569 process Effects 0.000 abstract description 5
- 230000008595 infiltration Effects 0.000 abstract 1
- 238000001764 infiltration Methods 0.000 abstract 1
- 230000004044 response Effects 0.000 description 5
- 230000008901 benefit Effects 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000009194 climbing Effects 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000003827 upregulation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The present invention provides a kind of Intelligent housing strategies changed based on temperature.It include: that polymerization quotient negotiates to determine consumption task by service agent and grid operator；According to consumption mission bit stream, the Real-Time Scheduling state of each load individual in any time slot is perceived；The information Controlling model of each load individual under Load aggregation system is established, the regulation type in regulation amount and determining time slot in real-time analysis corrections time slot；Load selection logic rules are established, participate in the load adjusted individual in this time slot of science decision；Temperature settings control rule is established, the control signal of each load individual in equipment group is precisely executed.The present invention is by establishing the information Controlling model of each load individual and the control rule of temperature controlling value, it devises state aware logic, analyze logic, science decision logic and the aggregate load system control strategy framework for precisely executing logic four processes in real time, consumption of the aggregate load to the extra generation of electricity by new energy of power grid is realized, to solve the problems, such as that power grid unbalanced supply-demand caused by new energy infiltration is lower provides a kind of key tactics.
Description
Technical field
The present invention relates to the demand response technical fields in smart grid, will specifically be related to a kind of Demand-side aggregate load
The control strategy of system.
Background technique
Demand response (demand response, DR) refer to power consumer receive supplier of electricity sending price signal or
After incentive mechanism, change intrinsic consumption power mode, reduces or shift the behavior of certain period power load.Demand response one
Aspect can motivate power consumer to participate in peak load regulation network, reduce electric power netting safe running pressure, and balancing power network load guides user
Science, rational utilization of electricity；On the other hand it is also able to achieve distributing rationally for electric power resource and social resources, promotes power industry
Sustainable development.As generation of electricity by new energy resource accesses power grid, the capacity of power grid regulation demand and climbing for regulation unit on a large scale
Slope rate must also improve significantly, but traditional regulating generator group operation may be unable to satisfy the pondage of growth
With the requirement of unit creep speed, causes working efficiency low, also shorten the service life of generating set.And Demand-side flexible load control
System can be used as power grid and dissolve extra generation of electricity by new energy, and the ancillary technique for maintaining supply and demand stable has high degree of automation, ring
Answer fireballing advantage.
In resident's controllable type load, domestic, electric water heater load is to control to realize new energy consumption by direct load
Optimum load.Have some more in-depth studies in terms of polymerization water heater participates in power grid regulation at present.In traditional literature
It proposes based on voltage or based on the control strategy of temperature settings.But it is needed based on voltage-controlled control strategy
Additional physical hardware is installed to realize the variation of power inside water heater, at high cost and popularization difficulty is big；Based on temperature setting
The control strategy of value adjustment mode does not consider the constraint of actual temperature setting value adjusting range, is also easy to produce regulation error, and adopt
Individual choice rule may be such that the practical adjustable individual of load group quickly reduces, and often cannot achieve more preferably new energy
Source consumption.
In existing research, on how to optimal control Demand-side load system, realization disappears to extra generation of electricity by new energy
The problem of receiving rarely has research.
Summary of the invention
The present invention provides a kind of coordination control strategies of Demand-side aggregate load system, to solve in smart grid
The problem of aggregate load dissolves extra generation of electricity by new energy.
To solve the above-mentioned problems, the present invention provides a kind of methods, which comprises (1) polymerize quotient and pass through business
Agency negotiates to determine consumption task with grid operator；(2) according to consumption mission bit stream, each load in any time slot is perceived
The Real-Time Scheduling state of body；(3) the information Controlling model of each load individual under Load aggregation system is established, analysis is repaired in real time
The regulation type in regulation amount and determining time slot in positive time slot；(4) load selection logic rules, science decision sheet are established
The load individual adjusted is participated in time slot；(5) temperature settings control rule is established, each load in equipment group is precisely executed
The control signal of body.
Preferably, in the step (1), polymerization quotient negotiates to determine consumption task by service agent and grid operator,
Including load control amount and load control period.
Preferably, in the step (2), according to consumption mission bit stream, the real-time of each load individual in any time slot is perceived
Dispatch state, further includes: the Real-Time Scheduling state for perceiving each load individual in any time slot is represented by load of water heater, real
When status information include that certain time slot cohesion closes water heater load, the raw vendors dictate of the state of each water heater heating element, equipment
Water heater temperature setting value max-thresholds and lowest threshold；According to status information and state rule of recogni-tion, by water heater load point
For that can dissolve state, state and non-scheduling state can be cut down.
Preferably, in the step (3), the model foundation is as follows: (3-1) establishes the hot water temperature of single water heater
Variation model；(3-2) establishes the real-time correction formula of regulation amount according to the real-time status of water heater group；(3-3) establishes time slot i
The interior determination method for executing regulation type.
Further, in the step (3-1), the model of hot water temperature's variation of single water heater is characterized:
TinletFor cold water temperature (°F)；VtankFor the volume (gallons) of water-heater water tank；Fr (i) is heat in time slot i
The rate (gpm) of water outflow；Δ t is the duration (min) of each time slot；PWHFor the rated power (kW) of water heater；ηWH
The efficiency of thermal energy can be converted for Water heater electric；AtankFor the surface area (ft of water-heater water tank2)； TaIt (i) is the environment in time slot i
Temperature (°F)；RtankFor thermal resistance (°F ft of water tank2·h/Btu)。
Further, in the step (3-2), the correction formula of regulation amount:
PneededIt (i) is actual regulation amount in time slot i；Ptarget(i) target to be required in consumption task in time slot i
Regulation amount；PbaseIt (i) is the load baseline of polymerization load group in time slot i；N(Ai) it is the time slot i moment, it polymerize water heater load group
Middle load individual sum；PWH(k) rated power for being water heater k；sk(i) be time slot i when heating element k-state, numerical value " 1 "
To open, numerical value " 0 " is to close.
Further, in the step (3-3), the determination method of the regulation type action (i) executed in time slot i:
PneededIt (i) is actual regulation amount in time slot i.
Preferably, in the step (4), load logical description:
If action=(1), definition can dissolve selected in time slot i of water heater k in load group and select priority λk(i)
Are as follows:
TkIt (i) is the initial time of time slot i, the temperature of hot water in water heater k；For time slot i moment, water heater k tune
Temperature settings before whole, TmaxFor water heater temperature setting value max-thresholds as defined in equipment manufacturer；
By λk(i) the ascending sequence of value forms selection queueFromN water heater load of middle forward lookup, shape
At the equipment group for participating in regulation in time slot iMeet following constraint:
PneededIt (i) is actual regulation amount in time slot i.
If action=(0), definition can select priority η by selected in time slot i of water heater k in reduction plans groupk(i)
Are as follows:
For the time slot i moment, temperature settings before water heater k adjustment, TminFor hot water as defined in equipment manufacturer
Device temperature settings lowest threshold；
By ηk(i) value is ascending to CiIndividual sequence in group, forms selection queueFromMiddle forward lookup m
Water heater load forms in time slot i and participates in the equipment group of regulationMeet as follows
Constraint:
PneededIt (i) is actual regulation amount in time slot i.
Preferably, in the step (5), temperature settings control rule:
For time slot i moment, water heater k temperature settings adjusted.
The invention has the following advantages:
The present invention is by taking intelligent electric water heater as an example, by establishing based on state aware, real-time analysis, science decision and essence
The Demand-side aggregate load systematic collaboration control strategy that standard executes optimizes load consumption effect, and is not easy to make to polymerize hot water
Load individual can be dissolved in device group quickly to reduce, and have effectively achieved consumption of the aggregate load to the extra generation of electricity by new energy of power grid.
Detailed description of the invention
Fig. 1 is strategic process figure；
Fig. 2 is the system architecture diagram for polymerizeing water heater consumption new energy；
Specific embodiment
To keep the embodiment of the present invention technical problems to be solved, technical solution and advantage clearer, below in conjunction with
Attached drawing is described in detail.
As shown in Figure 1, being a kind of process of Demand-side aggregate load systematic collaboration control strategy in smart grid of the present invention
Figure, includes the following steps:
(1) polymerization quotient negotiates to determine consumption task by service agent and grid operator；
(2) according to consumption mission bit stream, the Real-Time Scheduling state of each load individual in any time slot is perceived；
(3) the information Controlling model of each load individual under Load aggregation system is established, in real-time analysis corrections time slot
Regulation type in regulation amount and determining time slot；
(4) load selection logic rules are established, participate in the load adjusted individual in this time slot of science decision；
(5) temperature settings control rule is established, the control signal of each load individual in equipment group is precisely executed.
As shown in Fig. 2, telling about demand response under entire aggregate load system for dissolving the extra new energy of power grid
Realization process and problems solved by the invention.
Using the two -way interactive mode of water heater arrangement and resident, device service quotient serves as Load aggregation quotient, in cloud platform
Software operation agency of the middle increase towards grid operator, polymerization quotient can be negotiated true by service agent and grid operator
Surely task is dissolved, consumption mission bit stream includes load control amount and load control period.
Information is dissolved according to task, executes control strategy, i.e., Demand-side aggregate load systematic collaboration control proposed by the present invention
System strategy, cloud platform perceive the Real-Time Scheduling state of each load individual in any time slot, according to status information and state cognition rule
Then, water heater load, which is divided into, can dissolve crowd Bi, crowd C can be cut downiWith non-scheduling group Di:
AiFor the polymerization water heater load at time slot i moment；sk(i) time slot i moment, the state of water heater k heating element；
TmaxFor water heater temperature setting value max-thresholds as defined in equipment manufacturer, generally 75 DEG C； TminFor equipment manufacturer regulation
Water heater temperature setting value lowest threshold, generally 35 DEG C.
Desired control amount specified in consumption task is formulated on the basis of the baseline load of aggregate load.Due to temperature
Control load temperature setting value adjustment method have duration feature, i.e., certain time slot adjustment movement can make it is subsequent other when
The load curve of gap deviates the burst implementations being likely to occur outside some predictions in original baseline and regulation process.
Therefore it is next repaired in real time using the real-time status of hot water temperature's variation model of single water heater and water heater group
Positive regulation amount.
Characterize the model of hot water temperature's variation of single water heater are as follows:
TinletFor cold water temperature (℉)；VtankFor the volume (gallons) of water-heater water tank；Fr (i) is heat in time slot i
The rate (gpm) of water outflow；Δ t is the duration (min) of each time slot；PWHFor the rated power (kW) of water heater；ηWH
The efficiency of thermal energy can be converted for Water heater electric；AtankFor the surface area (ft of water-heater water tank2)； TaIt (i) is the environment in time slot i
Temperature (°F)；RtankFor thermal resistance (°F ft of water tank2·h/Btu)。
The correction formula of regulation amount are as follows:
PneededIt (i) is actual regulation amount in time slot i；Ptarget(i) target to be required in consumption task in time slot i
Regulation amount；PbaseIt (i) is the load baseline of polymerization load group in time slot i；N(Ai) it is the time slot i moment, it polymerize water heater load group
Middle load individual sum；PWH(k) rated power for being water heater k；sk(i) be time slot i when heating element k-state, numerical value " 1 "
To open, numerical value " 0 " is to close.
The determination method of the regulation type action (i) executed in time slot i:
PneededIt (i) is actual regulation amount in time slot i
It is analyzing according to state aware and in real time as a result, science decision determines the load individual for participating in adjusting in this time slot.
Load selects logical description as follows:
If action (i)=1, show that polymerization water heater group should increase load in time slot i.With λk(i) be water heater k when
Selected in gap i selects priority, and the value is smaller, illustrates that adjustment operation can raise the influence in space to water heater temperature setting value
Smaller, i.e., digestion capability standby on water heater influences smaller.By λk(i) the ascending individual in Bi groups of value sorts, shape
At selection queueλk(i) it is defined as follows:
Temperature settings for the time slot i moment, before water heater k adjustment.
FromN water heater load of middle forward lookup forms in time slot i and participates in the equipment group of regulationMeet following constraint:
PneededIt (i) is actual regulation amount in time slot i,ForIn j-th of water heater number.
If action=(0), show that polymerization water heater group answers reduction plans in time slot i.With ηkIt (i) is water heater k time slot
Selected in i selects priority, and the value is smaller, and the influence for illustrating that adjustment operation can lower space to water heater temperature setting value is got over
Small, i.e., reduction capacity standby to water heater is smaller.By ηk(i) value is ascending to CiIndividual sequence in group, forms
Select queueηk(i) it is defined as follows:
For the time slot i moment, temperature settings before water heater k adjustment, TminFor hot water as defined in equipment manufacturer
Device temperature settings lowest threshold；
FromM water heater load of middle forward lookup forms in time slot i and participates in the equipment group of regulationMeet following constraint:
PneededIt (i) is actual regulation amount in time slot i,ForIn j-th of water heater number.
Precisely execute generating device group EiIn each load individual control signal.Here after control signal refers to adjustment
Temperature settings.Temperature settings rule is defined as:
For time slot i moment, water heater k temperature settings adjusted.
Claims (9)
1. a kind of Intelligent housing strategy changed based on temperature, which comprises the steps of:
(1) polymerization quotient negotiates to determine consumption task by service agent and grid operator；
(2) according to consumption mission bit stream, the Real-Time Scheduling state of each load individual in any time slot is perceived；
(3) the information Controlling model of each load individual under Load aggregation system, the regulation in real-time analysis corrections time slot are established
Regulation type in amount and determining time slot；
(4) load selection logic rules are established, participate in the load adjusted individual in this time slot of science decision；
(5) temperature settings control rule is established, the control signal of each load individual in equipment group is precisely executed.
2. Demand-side aggregate load systematic collaboration control strategy according to claim 1, which is characterized in that the step
(1) in, polymerization quotient negotiates to determine consumption task by service agent and grid operator, and the content for dissolving task includes load tune
Control amount and load control period.
3. Demand-side aggregate load systematic collaboration control strategy according to claim 1, which is characterized in that the step
(2) in, cloud platform perceives the Real-Time Scheduling state of each load individual in any time slot, represents by load of water heater, real-time shape
State information includes polymerizeing water heater load in some time gap, the hot water of the raw vendors dictate of state, equipment of each water heater heating element
Device temperature settings max-thresholds and lowest threshold；According to status information and state rule of recogni-tion, water heater load is divided into can
Consumption state can cut down state and non-scheduling state.
4. Demand-side aggregate load systematic collaboration control strategy according to claim 1, which is characterized in that the step
(3) in, the processing is as follows:
(4-1) establishes hot water temperature's variation model of single water heater；
(4-2) establishes the real-time correction formula of regulation amount according to the real-time status of water heater group；
(4-3) establishes in time slot i the determination method for executing regulation type.
5. Demand-side aggregate load systematic collaboration control strategy according to claim 4, which is characterized in that the step
In (4-1), the model of hot water temperature's variation of single water heater is characterized:
TinletFor cold water temperature (℉)；VtankFor the volume (gallons) of water-heater water tank；Fr (i) is hot water outflow in time slot i
Rate (gpm)；Δ t is the duration (min) of each time slot；PWHFor the rated power (kW) of water heater；ηWHFor water heater
The efficiency of electric energy conversion thermal energy；AtankFor the surface area (ft of water-heater water tank2)；TaIt (i) is the environment temperature (°F) in time slot i；
RtankFor thermal resistance (°F ft of water tank2·h/Btu)。
6. Demand-side aggregate load systematic collaboration control strategy according to claim 4, which is characterized in that the step
In (4-2), the correction formula of regulation amount are as follows:
PneededIt (i) is actual regulation amount in time slot i；Ptarget(i) desired control to be required in consumption task in time slot i
Amount；PbaseIt (i) is the load baseline of polymerization load group in time slot i；N(Ai) it is the time slot i moment, it polymerize in water heater load group and bears
Lotus individual sum；PWH(k) rated power for being water heater k；sk(i) be time slot i when heating element k-state, numerical value " 1 " be open
It opens, numerical value " 0 " is to close.
7. Demand-side aggregate load systematic collaboration control strategy according to claim 4, which is characterized in that the step
In (4-3), the determination method of the regulation type action (i) executed in time slot i are as follows:
PneededIt (i) is actual regulation amount in time slot i.
8. Demand-side aggregate load systematic collaboration control strategy according to claim 1, which is characterized in that the step
(4) in, load selects the description of logic:
(8-1) if action=(1), definition can dissolve selected in time slot i of water heater k in load group and select priority λk(i)
Are as follows:
TkIt (i) is the initial time of time slot i, the temperature of hot water in water heater k,For the time slot i moment, before water heater k adjustment
Temperature settings, TmaxFor water heater temperature setting value max-thresholds as defined in equipment manufacturer；
By λk(i) the ascending sequence of value forms selection queue, fromN water heater load of middle forward lookup is formed in time slot i
Participate in the equipment group of regulationMeet following constraint:
PneededIt (i) is actual regulation amount in time slot i,ForIn j-th of water heater number；
(8-2) if action=(0), definition can select priority η by selected in time slot i of water heater k in reduction plans groupk(i)
Are as follows:
For the time slot i moment, temperature settings before water heater k adjustment, TminFor water heater temperature as defined in equipment manufacturer
Setting value lowest threshold；
By ηk(i) value it is ascending to can the individual in reduction plans group sort, form selection queueFromMiddle forward lookup
M water heater load forms in time slot i and participates in the equipment group of regulationMeet as follows
Constraint:
PneededIt (i) is actual regulation amount in time slot i,ForIn j-th of water heater number.
9. Demand-side aggregate load systematic collaboration control strategy according to claim 1, which is characterized in that the step
(5) in, temperature settings control rule are as follows:
For time slot i moment, water heater k temperature settings adjusted.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910396809.3A CN110045626A (en) | 2019-05-14 | 2019-05-14 | The Intelligent housing strategy changed based on temperature |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910396809.3A CN110045626A (en) | 2019-05-14 | 2019-05-14 | The Intelligent housing strategy changed based on temperature |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110045626A true CN110045626A (en) | 2019-07-23 |
Family
ID=67281815
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910396809.3A Pending CN110045626A (en) | 2019-05-14 | 2019-05-14 | The Intelligent housing strategy changed based on temperature |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110045626A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110739727A (en) * | 2019-11-14 | 2020-01-31 | 沈阳工业大学 | Method for restraining renewable energy power generation fluctuation in multi-energy system of garbage power plant |
| CN111950934A (en) * | 2020-08-28 | 2020-11-17 | 南方电网科学研究院有限责任公司 | Power demand response aggregation load cooperative control method, device and system |
| CN114200845A (en) * | 2021-10-29 | 2022-03-18 | 国网江苏省电力有限公司 | Electric water heater cluster new energy consumption strategy based on smart home energy |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106056256A (en) * | 2016-06-28 | 2016-10-26 | 华北电力大学 | Interdynamic microgrid scheduling method for balancing power supply and demand relation |
| CN108281968A (en) * | 2018-01-08 | 2018-07-13 | 华北电力大学 | A kind of load scheduling model under Load aggregation quotient-wind power plant collaboration operation mode |
| 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 |
-
2019
- 2019-05-14 CN CN201910396809.3A patent/CN110045626A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106056256A (en) * | 2016-06-28 | 2016-10-26 | 华北电力大学 | Interdynamic microgrid scheduling method for balancing power supply and demand relation |
| CN108281968A (en) * | 2018-01-08 | 2018-07-13 | 华北电力大学 | A kind of load scheduling model under Load aggregation quotient-wind power plant collaboration operation mode |
| 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 |
Non-Patent Citations (1)
| Title |
|---|
| 祁兵，等: "面向新能源消纳的需求侧聚合负荷协同控制", 《电网技术》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110739727A (en) * | 2019-11-14 | 2020-01-31 | 沈阳工业大学 | Method for restraining renewable energy power generation fluctuation in multi-energy system of garbage power plant |
| CN111950934A (en) * | 2020-08-28 | 2020-11-17 | 南方电网科学研究院有限责任公司 | Power demand response aggregation load cooperative control method, device and system |
| CN114200845A (en) * | 2021-10-29 | 2022-03-18 | 国网江苏省电力有限公司 | Electric water heater cluster new energy consumption strategy based on smart home energy |
| CN114200845B (en) * | 2021-10-29 | 2023-10-31 | 国网江苏省电力有限公司 | Electric water heater cluster energy-saving new energy strategy based on intelligent household energy |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102511879B1 (en) | Hierarchical implicit controller for shielded system in a grid | |
| Khatamianfar et al. | Improving wind farm dispatch in the Australian electricity market with battery energy storage using model predictive control | |
| CN107423879B (en) | A kind of method that controllable burden participates in Automatic Generation Control | |
| CN110045626A (en) | The Intelligent housing strategy changed based on temperature | |
| CN109727158A (en) | A kind of electric heating integrated energy system dispatching method based on the weak robust optimization of improvement | |
| JP6423967B2 (en) | Controller for optimizing local energy networks | |
| CN110378058A (en) | A kind of method for building up for the electro thermal coupling microgrid optimal response model comprehensively considering reliability and economy | |
| CN108279566A (en) | A kind of more household electricity energy requirements response regulation and control method of Load aggregation quotient | |
| CN102261691B (en) | Power transmission system of multi-heat source loop pipe network, system configuration method and operation mode | |
| CN103972896A (en) | Load modeling and optimal control method based on demand response | |
| CN103591637A (en) | Centralized heating secondary network operation adjustment method | |
| CN109256810A (en) | Consider that blower is contributed and does not know the Multipurpose Optimal Method of cost | |
| CN110009244A (en) | The regional complex energy resource system Optimization Scheduling of recovery is combated a natural disaster in a kind of consideration | |
| CN112508325B (en) | Household micro-grid multi-time scale electric energy scheduling method | |
| CN108122079A (en) | Computational methods, system and the storage medium of thermal power plant's sharing of load | |
| Li et al. | Knee Point‐Guided Multiobjective Optimization Algorithm for Microgrid Dynamic Energy Management | |
| CN104408663A (en) | User demand response dispatching system and method of smart grid | |
| Shi et al. | Model predictive power dispatch and control with price-elastic load in energy internet | |
| Liu et al. | Two-stage optimal economic scheduling for commercial building multi-energy system through internet of things | |
| CN111950934A (en) | Power demand response aggregation load cooperative control method, device and system | |
| CN103761385A (en) | Optimized design method for mult-heat-source annular pipe network | |
| CN112994024B (en) | Load frequency control method and system with improved temperature control load participation | |
| CN114243736A (en) | Power grid optimal scheduling method, electronic device, storage medium and program product | |
| CN114322044A (en) | Comprehensive energy system and operation control method thereof | |
| Zhao et al. | Collaborative control of thermostatically controlled appliances for balancing renewable generation in smart grid |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190723 |