CN111950934A - Power demand response aggregation load cooperative control method, device and system - Google Patents

Power demand response aggregation load cooperative control method, device and system Download PDF

Info

Publication number
CN111950934A
CN111950934A CN202010887928.1A CN202010887928A CN111950934A CN 111950934 A CN111950934 A CN 111950934A CN 202010887928 A CN202010887928 A CN 202010887928A CN 111950934 A CN111950934 A CN 111950934A
Authority
CN
China
Prior art keywords
demand response
response
water heater
electrical equipment
load
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
Application number
CN202010887928.1A
Other languages
Chinese (zh)
Inventor
金鑫
肖勇
王岩
吴昊文
潘廷哲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China South Power Grid International Co ltd
China Southern Power Grid Co Ltd
Original Assignee
China South Power Grid International Co ltd
China Southern Power Grid Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China South Power Grid International Co ltd, China Southern Power Grid Co Ltd filed Critical China South Power Grid International Co ltd
Priority to CN202010887928.1A priority Critical patent/CN111950934A/en
Publication of CN111950934A publication Critical patent/CN111950934A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S50/00Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/16Energy services, e.g. dispersed generation or demand or load or energy savings aggregation

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a power demand response aggregation load cooperative control method, a device and a system, wherein the method comprises the steps of obtaining the operation state, the actual temperature value and the temperature set value of each electrical equipment of a user side resident user, and determining the demand response type and the demand response force of each electrical equipment according to the operation state, the actual temperature value and the temperature set value; determining the demand response type to be executed in the current time slot; finding out each electric appliance corresponding to the demand response type, and selecting each electric appliance meeting the load quantity according to the load quantity of the demand response to be executed in the current time slot and the demand response force of each electric appliance; and sending a response control signal to each electrical equipment meeting the load quantity, wherein the response control signal is used for indicating each electrical equipment to execute corresponding demand response. The method can solve the problem that the power supply and demand imbalance of the power grid is possibly caused by the access of high-proportion intermittent new energy power generation resources, and can perform real-time analysis, scientific decision and accurate execution.

Description

Power demand response aggregation load cooperative control method, device and system
Technical Field
The invention relates to the technical field of smart power grids, in particular to a power demand response aggregation load cooperative control method, device and system.
Background
With the progress of society and the development of science and technology, more and more new energy power generation resources with volatility and uncertainty are connected into a power grid, and the stable operation of a power system cannot be maintained in a traditional power regulation mode. How to increase the running standby capacity of the power system to maintain the stable running of the power grid and store the extra power is an urgent problem to be solved in the power system. Demand response provides a cost effective method for improving the safety and stability of the operation of the power system. In the demand response mode, the power consumer responds according to the price signal or the excitation signal of the market, changes the original power consumption plan to stabilize the load fluctuation and promote the new energy consumption, so that the power grid supply and demand balance under the penetration of high-proportion renewable energy sources is maintained, the safe and stable operation of the power grid is ensured, and more renewable energy sources are promoted to be accessed into the power grid for consumption.
On one hand, with the reform of the power system and the opening of the electricity selling side, various types of main participants such as service providers and aggregators appear, and the cooperative control of small micro loads can be realized. On the other hand, the improvement of the intellectualization of the household electrical appliance and the popularization of the internet of things and the like at the side of residents provide technical support for the participation of the loads of the residents in demand response. Household electrical equipment such as a water heater has strong adjustability, has huge potential for participating in demand response as a load resource of residents on a demand side, can further enhance the supply and demand fluctuation balance capability of a power grid under the penetration of high-proportion renewable energy sources, and is very important for a smart power grid. However, not every residential load has a demand response potential, and different user loads have different demand response potentials, which are mainly determined by the characteristics of the loads. Therefore, it is difficult to perform demand response control on individual loads of residents, and it is important to study participation of aggregated loads in demand response.
Disclosure of Invention
In view of the above, the present invention provides a power demand response aggregated load cooperative control method, apparatus, system and computer readable storage medium to solve the technical problems in the prior art that the individual residential loads do not have uncertainty of demand response potential, and demand response potentials are different, and it is difficult to implement demand response control on the individual residential loads.
In order to achieve the purpose, the invention provides the following technical scheme:
the embodiment of the invention provides a power demand response aggregation load cooperative control method, which comprises the following steps:
acquiring the operating state, the actual temperature value and the temperature set value of each electrical appliance of a user side resident user, wherein the user side resident user is a resident user who enters into an agreement with an aggregator; the electrical equipment is equipment capable of storing electric energy;
determining the demand response type of each electrical equipment according to the operation state and the actual temperature value, and determining the demand response force of each electrical equipment according to the actual temperature value and the temperature set value;
determining the demand response type to be executed in the current time slot;
finding out each electric appliance device corresponding to the demand response type, and selecting each electric appliance device meeting the load quantity according to the load quantity of demand response to be executed in the current time slot and the demand response force of each electric appliance device;
and sending a response control signal to each electric appliance device meeting the load amount, wherein the response control signal is used for indicating each electric appliance device meeting the load amount to execute corresponding demand response.
Alternatively,
after the step of sending the response control signal to each electrical appliance device meeting the load amount, the method further comprises the following steps:
judging whether the demand response is finished;
and when the demand response is not completed, retransmitting the response control signal to each electrical equipment meeting the load amount after a preset time period.
Alternatively,
after the step of retransmitting the response control signal to each electrical appliance satisfying the load amount, the method further includes:
judging whether the demand response is finished after the response control signal is retransmitted;
updating the demand response type and the unresponsive load quantity of each electrical device when the demand response after the response control signal is retransmitted is not completed and the demand response end time is not reached;
reselecting corresponding electrical equipment according to the updated demand response type;
selecting each electric appliance equipment meeting the unresponsive load quantity according to the unresponsive load quantity and the requirement response force of each electric appliance equipment selected again;
and sending a response control signal to each electric appliance device meeting the unresponsive load quantity.
Alternatively,
the demand response type comprises a consumption type response; the electrical equipment is a water heater; the step of determining the demand response type of each electrical device according to the operating state and the actual temperature value includes:
and when the running state of the water heater is a closed state, and the sum of the actual temperature value of the water heater and the heat preservation temperature range threshold value of the water heater is less than or equal to the preset maximum value of the water heater, judging that the water heater responds to the absorptive demand.
Alternatively,
the demand response type comprises a curtailment type response; in the step of determining the demand response type of each electrical device according to the operating state and the actual temperature value, the method further includes:
and when the running state of the water heater is the starting state and the actual temperature value of the water heater is greater than or equal to the preset minimum value of the water heater, judging that the water heater responds in a reduction mode.
Alternatively,
the demand response force comprises a potential to be consumed, and in the step of determining the demand response force of each of the electrical devices according to the actual temperature value and the temperature set value, the method comprises the following steps: the potential for digestibility is calculated by the following formula:
Figure BDA0002656113630000031
λk(i) representing the consumable potential, T, of the water heater k in the i-slotk(i) Representing the actual temperature value of the water heater k in the i time slot,
Figure BDA0002656113630000032
for the temperature setting, T, of the water heater k before adjustment in the i-slotmaxAnd D represents the heat preservation temperature range threshold of the water heater.
Alternatively,
the demand response force comprises reducible potential, and in the step of determining the demand response force of each of the electrical devices according to the actual temperature value and the temperature set value, the method comprises: potential curtailment is calculated by the following formula:
Figure BDA0002656113630000033
ηk(i) representing potential reducible of water heaters k in i-slot, Tk(i) Representing the actual temperature value of the water heater k in the i time slot,
Figure BDA0002656113630000041
for the temperature setting, T, of the water heater k before adjustment in the i-slotminAnd D represents the heat preservation temperature range threshold value of the water heater.
Alternatively,
the step of selecting each electrical device meeting the load quantity according to the load quantity of the demand response required to be executed in the current time slot and the demand response force of each electrical device comprises the following steps:
sequencing the water heaters from small to large according to the demand response force to form a sequencing queue;
and selecting the optimal water heater meeting the load amount from the sequencing queue to form a response group.
The embodiment of the invention provides a power demand response aggregation load cooperative control device, which comprises:
the information acquisition module is used for acquiring the operating state, the actual temperature value and the temperature set value of each electrical equipment of a user-side resident user, wherein the user-side resident user is a resident user who enters into an agreement with the aggregator; the electrical equipment is equipment capable of storing electric energy;
the electrical equipment response type determining module is used for determining the demand response type of each electrical equipment according to the operating state and the actual temperature value;
the response force determining module is used for determining the required response force of each electrical equipment according to the actual temperature value and the temperature set value;
the execution response type determining module is used for determining the demand response type which needs to be executed in the current time slot;
the electrical equipment selection module is used for finding out each electrical equipment corresponding to the demand response type and selecting each electrical equipment meeting the load quantity according to the load quantity of the demand response to be executed in the current time slot and the demand response force of each electrical equipment;
and the control signal sending module is used for sending a response control signal to each electrical equipment meeting the load quantity, and the response control signal is used for indicating each electrical equipment meeting the load quantity to execute corresponding demand response.
The embodiment of the invention provides an electric power demand response aggregation load cooperative control system, which comprises an aggregator and each electric appliance device which is arranged in a user side resident user and is controlled by the aggregator;
each electric appliance device meeting the load capacity is used for receiving a response control signal sent by the aggregator and executing corresponding demand response according to the response control signal;
the aggregator is for performing the steps of the power demand response aggregate load cooperative control method.
The method, the device and the system for cooperatively controlling the power demand response aggregation load in the embodiment of the invention are characterized in that firstly, the running state, the actual temperature value and the temperature set value of each electrical appliance of a user side resident user are obtained, wherein the user side resident user is a resident user who enters into an agreement with an aggregator; the electrical equipment is equipment capable of storing electric energy; determining the demand response type of each electrical equipment according to the operation state and the actual temperature value, and determining the demand response force of each electrical equipment according to the actual temperature value and the temperature set value; determining a demand response type to be executed in the current time slot, finding out each electrical equipment corresponding to the demand response type, and selecting each electrical equipment meeting the load quantity according to the load quantity of the demand response to be executed in the current time slot and the demand response force of each electrical equipment; and sending a response control signal to each electric appliance device meeting the load quantity, wherein the response control signal is used for indicating each electric appliance device meeting the load quantity to execute corresponding demand response. According to the method, the electrical equipment is divided according to the running state and the actual temperature value of the electrical equipment, and the appropriate electrical equipment is selected according to the load amount to increase and decrease the load of the electrical equipment, so that the problem that the supply and demand of a power grid are unbalanced possibly caused by the access of high-proportion intermittent new energy power generation resources can be effectively solved, and real-time analysis, scientific decision and accurate execution can be realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a coordinated control system for an electric demand response aggregate load according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a coordinated control method for an electric power demand response aggregate load according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating a coordinated control method for an aggregate load of power demand responses according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart illustrating a coordinated control method for an aggregate load of power demand responses according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating the results of the cooperative control device for the electric power demand response aggregate load according to the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to explain the present invention in more detail, the following describes a power demand response aggregate load cooperative control method, device and system provided by the present invention in detail with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a power demand response aggregate load coordinated control system; the power demand response aggregation load cooperative control method is applied to the structural schematic diagram of fig. 1; the power demand response aggregation load cooperative control system comprises an aggregator and a user side resident user, wherein the aggregator can sign an agreement with the user side resident user, a plurality of water heaters are arranged in the user side resident user, the aggregator can control the water heaters, for example, the aggregator can obtain relevant parameters of real-time states, temperatures, powers and the like of the water heaters, then the water heater demand response type is determined through analysis according to the parameters, and a control signal is sent to adjust the load of the water heaters and the like. Optionally, the aggregator is usually provided with a water heater state sensing module, a load analysis module, a scientific decision module, an accurate execution module, a backtracking verification module and the like, wherein the water heater state sensing module is used for acquiring information such as real-time temperature, power and the like of each water heater. And the load analysis module is used for determining the demand response type of the water heater according to the real-time state of each water heater acquired by the water heater state sensing module. And the scientific decision module is used for determining the load individuals participating in regulation according to certain rules according to the data of the water heater state sensing module and the load analysis module. And the accurate execution module is used for generating a control signal of the load individual participating in the adjustment and sending the control signal to each water heater. And the backtracking verification module is used for ensuring that the selected water heater can complete the load requirement of the current demand response.
Fig. 2 is a schematic flow chart of an embodiment of the cooperative control method for an aggregate load in response to an electric power demand according to the present invention, and as shown in fig. 2, the method is described by taking an aggregator in fig. 1 as an example, and the cooperative control method for an aggregate load in response to an electric power demand disclosed in the embodiment of the present invention mainly includes the following steps:
step S202, acquiring the running state, the actual temperature value and the temperature set value of each electrical appliance of a user side resident user, wherein the user side resident user is a resident user who enters into an agreement with the aggregator; the electrical equipment is equipment capable of storing electric energy;
in this implementation, the power demand response aggregate load cooperative control method is written from an aggregator single-ended perspective. The aggregator, also called as a load aggregator, is an independent organization integrating user demand response and providing the user demand response to market buyers, and not only can provide opportunities for medium and small loads to participate in market adjustment, but also can fully explore load resources through professional technical means and provide auxiliary service products of market demands. The load aggregator may be a municipality or other government entity, an energy service provider, a dispatch coordinator, a distribution company, other entity representing a single or many loads.
An appliance device refers to a device that can store electrical energy, either directly or indirectly. For example, a water heater can store electrical energy by heating water in a water tank. The operation state generally includes an operation state, a shutdown state, and the like. The actual temperature value refers to the temperature value of the electrical equipment at the moment when the aggregator obtains the temperature; the temperature set value is a set temperature value to be reached by the electrical equipment.
Optionally, the aggregator may obtain the operation state, the actual temperature value, and the temperature set value of the electrical equipment at regular time or in real time. That is, the obtained operating state, the actual temperature value, and the temperature set value of the electrical equipment may be values within a period of time or may be real-time values.
Step S204, determining the demand response type of each electrical equipment according to the running state and the actual temperature value, and determining the demand response force of each electrical equipment according to the actual temperature value and the temperature set value;
the demand response means that peak clipping, valley filling, load shifting and the like can be realized by detecting the response of the user to the price or the incentive signal and then changing the normal power consumption mode. Demand response force refers to the ability of an electrical device to perform a demand response. The demand response types typically include an increasing load type ("valley-fill" demand response) or a decreasing load type ("peak-clipping" demand response).
Step S206, determining the type of the demand response to be executed in the current time slot;
the aggregator needs to determine the type of demand response that needs to be executed in the current time slot, i.e., whether the demand response that needs to be executed in the current time slot belongs to the increased load type or the decreased load type.
Step S208, finding out each electric appliance corresponding to the demand response type, and selecting each electric appliance meeting the load quantity according to the load quantity of the demand response required to be executed in the current time slot and the demand response force of each electric appliance;
after the demand response type required to be executed in the current time slot is determined, corresponding electrical equipment needs to be selected according to the demand response type, wherein the number of the selected electrical equipment is multiple. And then each electric appliance device meeting the load quantity is selected from the plurality of electric appliance devices according to the load quantity of the demand response required to be executed in the current time slot and the demand response force of each electric appliance device.
Step S210, sending a response control signal to each electrical device meeting the load amount, where the response control signal is used to instruct each electrical device meeting the load amount to execute a corresponding demand response.
After each electric appliance device meeting the load capacity is selected, response control signals are sent to the electric appliance devices meeting the load capacity, and the electric appliance devices are enabled to execute corresponding demand responses. In addition, each electrical apparatus satisfying the load amount may be a plurality of sets (for example, electrical apparatuses 1, 2, and 3 satisfy the load amount, and electrical apparatuses 4, 5, and 6 satisfy the load amount), and any one set may be selected as the object of the demand response, or an optimal set may be selected as the object of the demand response.
The power demand response aggregation load cooperative control method in the embodiment of the invention comprises the steps of firstly obtaining the operation state, the actual temperature value and the temperature set value of each electrical appliance of a user side resident user, wherein the user side resident user is a resident user who enters into an agreement with an aggregator; the electrical equipment is equipment capable of storing electric energy; determining the demand response type of each electrical equipment according to the operation state and the actual temperature value, and determining the demand response force of each electrical equipment according to the actual temperature value and the temperature set value; determining a demand response type to be executed in the current time slot, finding out each electrical equipment corresponding to the demand response type, and selecting each electrical equipment meeting the load quantity according to the load quantity of the demand response to be executed in the current time slot and the demand response force of each electrical equipment; and sending a response control signal to each electric appliance device meeting the load quantity, wherein the response control signal is used for indicating each electric appliance device meeting the load quantity to execute corresponding demand response. According to the method, the electrical equipment is divided according to the running state and the actual temperature value of the electrical equipment, and the appropriate electrical equipment is selected according to the load amount to increase and decrease the load of the electrical equipment, so that the problem that the supply and demand of a power grid are unbalanced possibly caused by the access of high-proportion intermittent new energy power generation resources can be effectively solved, and real-time analysis, scientific decision and accurate execution can be realized.
In one embodiment, after the step of sending the response control signal to each electrical device satisfying the load amount, the method further includes:
judging whether the demand response is finished;
and when the demand response is not completed, retransmitting the response control signal to each electrical equipment meeting the load capacity after a preset time period.
Specifically, after a response control signal is sent to each electrical equipment meeting the load capacity, whether the current demand response is finished is judged; when the task is finished, waiting for the next time slot demand response task; when the current demand response is not completed, the response control signal is retransmitted to each electrical equipment meeting the load capacity after waiting for a period of time (namely, a preset time interval), that is, the response control signal is retransmitted to each electrical equipment which has transmitted the response control signal for the first time, so that each electrical equipment executes the corresponding demand response again.
Optionally, the preset time period is a preset time, and the length of the time period may be a suitable time selected according to a time required for information interaction between the aggregator and the electrical device. The time period cannot be too long, and the control efficiency of the aggregator is reduced if the time period is too long; however, the time period may not be too short, which may cause the second demand response to be initiated before the first demand response has completely ceased.
In this embodiment, after the first demand response fails, the response control signal is sent to each electrical device satisfying the load amount again to execute the demand response again, and by adopting this way, smooth execution of the demand response can be ensured to the greatest extent.
In one embodiment, as shown in fig. 3, after the step of retransmitting the response control signal to each electrical appliance satisfying the load amount, the method further includes:
step S302, judging whether the demand response after the response control signal is retransmitted is finished;
step S304, when the demand response after the response control signal is retransmitted is not completed and the demand response end time is not reached, updating the demand response type and the unresponsive load quantity of each electrical appliance;
step S306, reselecting corresponding electric equipment according to the updated demand response type;
step S308, selecting each electric appliance device meeting the unresponsive load quantity according to the unresponsive load quantity and the corresponding requirement response force of each electric appliance device selected again;
step S310, sending response control signals to each electric appliance device meeting the unresponsive load quantity.
Specifically, whether the demand response is completed after the response control signal is re-transmitted (i.e., the second time) is judged; when the demand response is not completed and the demand response end time is not reached (the time for executing the demand response is not ended yet), the demand response type of each electrical appliance and the unresponsive load amount are updated, wherein the unresponsive load amount is the load amount of the demand response required to be executed in the current time slot minus the load amount of the demand response already executed. And then reselecting corresponding electrical equipment according to the updated demand response type, selecting each electrical equipment meeting the unresponsive load quantity according to the unresponsive load quantity and the reselected demand response force of each corresponding electrical equipment, and sending a response control signal to each electrical equipment meeting the unresponsive load quantity to enable each electrical equipment to execute corresponding demand response.
Wherein the demand response end time may be a time set in advance. This time is usually set with reference to the time required to perform a demand response. In this embodiment, after the response control signal is sent for the second time (i.e., two times of demand responses are performed) or when only part of the demand responses are completed, the uncompleted part is reselected to the electrical equipment for demand response control, and by adopting this method, the load amount of the demand responses to be executed in the current time slot can be quickly and accurately ensured to be completed smoothly.
In one embodiment, the demand response type comprises a consumption type response; the electrical equipment is a water heater; the step of determining the demand response type of each electrical device according to the operating state and the actual temperature value comprises the following steps:
and when the running state of the water heater is the closing state, and the sum of the actual temperature value of the water heater and the heat preservation temperature range threshold value of the water heater is less than or equal to the preset maximum value of the water heater, judging that the water heater is a consumption type demand response.
Specifically, the power system needs to increase its own operational reserve capacity in a novel manner to maintain stable operation, while at the same time it is desirable to have the ability to store any additional power to avoid redundant clean power curtailment. A consumption-type demand response (or "valley-fill" demand response) is one of the ways in which the above-described tasks can be accomplished. Generally speaking, when the electricity price of a power grid is low or electricity generated by new energy is not used, a water heater capable of executing reduction type response starts a heating mode to convert electric energy into heat energy for storage.
Whether the water heater is a digestion type response or not is mainly determined according to the running state of the water heater, the actual temperature value, the heat preservation temperature range threshold value and the like. Specifically, a method for determining candidate groups for individuals performing a subtractive response is as follows:
Figure BDA0002656113630000101
wherein,
Figure BDA0002656113630000102
the running state of a water heater k in the i time slot is set; t isk(i) The hot water temperature of the water heater in the i time slot; d is a heat preservation temperature range threshold; t ismaxA preset maximum value for the water heater (i.e., a maximum threshold value for the water heater temperature setting specified by the equipment manufacturer);
Figure BDA0002656113630000103
indicating that the operation state of the water heater k in the i time slot is the closed state.By adopting the method, each electric device belonging to the digestion type response can be quickly determined.
Alternatively, each water heater controllable by the aggregator can be denoted as a water heater group aiWater heater forming alternative group B capable of executing absorption type responseiAn individual forming candidate group C for performing a subtractive responsei
In one embodiment, the demand response type includes a curtailment type response; in the step of determining the demand response type of each electrical device according to the operating state and the actual temperature value, the method further comprises the following steps:
and when the running state of the water heater is the starting state and the actual temperature value of the water heater is greater than or equal to the preset minimum value of the water heater, judging that the water heater is in cut-down response.
Specifically, the power system needs to avoid peak power consumption by load shedding. Curtailed demand response (or "peaked" demand response) is one of the ways in which the above-described tasks can be accomplished. Colloquially, the water heater can stop working or reduce the temperature to use less electricity at present.
Whether the water heater is in the cut-down type response or not is mainly determined according to the running state of the water heater, the actual temperature value and the like; the method for determining the candidate group formed by the individuals capable of executing the cut-down type response comprises the following specific steps:
Figure BDA0002656113630000111
wherein,
Figure BDA0002656113630000112
the running state of a water heater k in the i time slot is set; t isk(i) The hot water temperature of the water heater in the i time slot; d is a heat preservation temperature range threshold; t isminA preset minimum for the water heater (i.e., a minimum threshold for the water heater temperature setting specified by the equipment manufacturer);
Figure BDA0002656113630000113
to representThe operation state of the water heater k in the i time slot is an opening state. In this way, the electrical devices belonging to the cut-down type response can be quickly determined.
In an alternative embodiment, TmaxCan be 75 ℃ TminMay be 35 deg.c.
In one embodiment, the step of determining the demand response force of each of the electrical devices based on the actual temperature value and the temperature set point comprises: the potential for digestibility is calculated by the following formula:
Figure BDA0002656113630000114
wherein λ isk(i) Representing the consumable potential, T, of the water heater k in the i-slotk(i) Representing the actual temperature value of the water heater k in the i time slot,
Figure BDA0002656113630000115
for the temperature setting, T, of the water heater k before adjustment in the i-slotmaxAnd D represents the heat preservation temperature range threshold of the water heater.
The numerator represents that if the water heater k participates in the digestion type response solving in the i time slot, the reduced temperature setting value of the water heater k can be adjusted up to the space; the denominator represents the temperature setting that the water heater k has in the up-regulated space before the water heater k is not involved in the demand response during the i time slot. So lambdak(i) A reduction ratio of the water heater k temperature setting up the adjustable space is characterized. The smaller the value, the smaller the influence of the temperature setting value adjusting operation on the space where the temperature setting value of the water heater can be adjusted up, i.e. the smaller the influence on the absorption capacity of the water heater. By adopting the method, the consumption capacity of the water heater can be rapidly and accurately calculated.
In one embodiment, the demand response force includes a potential curtailable, and the step of determining the demand response force of each of the electrical devices based on the actual temperature value and the temperature set point includes: potential curtailment is calculated by the following formula:
Figure BDA0002656113630000116
wherein eta isk(i) Representing potential reducible of water heaters k in i-slot, Tk(i) Representing the actual temperature value of the water heater k in the i time slot,
Figure BDA0002656113630000121
for the temperature setting, T, of the water heater k before adjustment in the i-slotminAnd D represents the heat preservation temperature range threshold value of the water heater.
The numerator represents that if the water heater k participates in the reduction type demand response in the i time slot, the reduced temperature setting value of the water heater k can be adjusted up to the space; the denominator indicates that the water heater k has a temperature setting that may be adjusted down the space before the water heater k is not participating in the demand response during the i time slot. Eta ofk(i) A reduction rate in the turndown space is characterized by the water heater k temperature setting. The smaller this value is, the smaller the influence of the temperature setting value adjusting operation on the space where the temperature setting value of the water heater can be adjusted downward, that is, the smaller the influence on the reducing capability of the water heater. By adopting the method, the reduction capacity of the water heater can be rapidly and accurately calculated.
In one embodiment, the step of selecting each electrical appliance satisfying the load amount according to the load amount of the demand response required to be executed in the current time slot and the demand response power of each electrical appliance includes:
sequencing the water heaters from small to large according to the response force of the demand to form a sequencing queue;
and selecting the optimal water heater meeting the load from the sequencing queue to form a response group.
Specifically, when each electrical device meeting the load amount is selected according to the load amount of the demand response required to be executed in the current time slot and the demand response force of each electrical device, the water heaters can be sorted from small to small according to the demand response force, and then the optimal water heater meeting the load amount is selected according to the sorting sequence to form a response group.
In an alternative embodiment, the optimal water heater individuals which can meet the consumption type response are selected to form a response group.
From the ordering queue
Figure BDA0002656113630000122
Searching n water heater individuals in a middle forward direction (from left to right) to form a device group for participating in consumption type demand response in a time slot i
Figure BDA0002656113630000123
Device group EiThe following constraint conditions are satisfied in power for each load individual:
Figure BDA0002656113630000124
wherein, Pneeded(i) For the amount of load of demand response that needs to be performed in the i-slot,
Figure BDA0002656113630000125
is composed of
Figure BDA0002656113630000126
The number of the jth water heater in (j).
In an alternative embodiment, the optimal water heater individuals capable of meeting the reduction type response are selected to form a response group.
From the ordering queue
Figure BDA0002656113630000131
Searching n water heater individuals in a middle forward direction (from left to right) to form a device group for participating in consumption type demand response in a time slot i
Figure BDA0002656113630000132
Device group EiThe following constraint conditions are satisfied in power for each load individual:
Figure BDA0002656113630000133
wherein, Pneeded(i) For the amount of load of demand response that needs to be performed in the i-slot,
Figure BDA0002656113630000134
is composed of
Figure BDA0002656113630000135
The number of the jth water heater in (j).
To facilitate understanding of the power demand response aggregated load cooperative control method of the present invention, a detailed embodiment is given. In this embodiment, the electrical appliance is exemplified by a water heater. An electric power demand response aggregation load cooperative control method, as shown in fig. 4, includes:
(1) after the resident user at the user side signs an agreement with the aggregator, the aggregator can obtain the state information of each water heater under direct control, and the state information comprises the real-time running state
Figure BDA0002656113630000136
And real-time water heater temperature Tk(i);
(2) The aggregator issues the load P to be responded to in the i time slotneeded(i);
(3) According to the load Pneeded(i) Judging and determining whether a digestion type response is executed in the i time slot, if so, turning to the step (4), otherwise, turning to the step (8);
(4) group A of water heaters controllable from aggregatoriForm a candidate group B of individuals in which a consumable response is selectedi
The water heater group controlled by the aggregator is marked as AiThe division into individual formed candidate groups that can perform a subtractive response is denoted BiThe method for determining the candidate group formed by the individuals capable of executing the digestion type response comprises the following specific steps:
Figure BDA0002656113630000137
wherein,
Figure BDA0002656113630000138
the running state of a water heater k in the i time slot is set; t isk(i) The hot water temperature of the water heater in the i time slot; d is a heat preservation temperature range threshold; t ismaxA preset maximum value for the water heater (i.e., a maximum threshold value for the water heater temperature setting specified by the equipment manufacturer);
Figure BDA0002656113630000139
indicating that the operation state of the water heater k in the i time slot is the closed state.
(5) The candidate population individuals are ranked according to their potential for consumption.
λk(i) I time slot internal water heater BiThe priority selected to participate in the consumption-type demand response, representing the consumable potential of the device, by λk(i) The values are sorted from small to large for all individuals in the consumable group to generate a selection queue
Figure BDA0002656113630000141
λk(i) Is defined as follows:
Figure BDA0002656113630000142
in the formula: wherein λ isk(i) Representing the consumable potential, T, of the water heater k in the i-slotk(i) Representing the actual temperature value of the water heater k in the i time slot,
Figure BDA0002656113630000143
for the temperature setting, T, of the water heater k before adjustment in the i-slotmaxAnd D represents the heat preservation temperature range threshold of the water heater. The numerator represents that if the water heater k participates in the digestion type response solving in the i time slot, the reduced temperature setting value of the water heater k can be adjusted up to the space; the denominator represents the temperature setting that the water heater k has in the up-regulated space before the water heater k is not involved in the demand response during the i-slot. It is thus characterized that the k-temperature setting of the water heater can be adjusted up to the spatial reduction ratio. The smaller the value, the more the temperature setting adjustment operation is on the hot waterThe smaller the influence of the adjustable space of the temperature setting value of the water heater is, namely the smaller the influence on the absorption capacity of the water heater is.
(6) And selecting the optimal water heater individual which can meet the consumption type response at this time to form a response group.
From the ordering queue
Figure BDA0002656113630000144
Searching n water heater individuals in a middle forward direction (from left to right) to form a device group for participating in consumption type demand response in a time slot i
Figure BDA0002656113630000145
Device group EiThe following constraint conditions are satisfied in power for each load individual:
Figure BDA0002656113630000146
wherein, Pneeded(i) For the amount of load of demand response that needs to be performed in the i-slot,
Figure BDA0002656113630000147
is composed of
Figure BDA0002656113630000148
The number of the jth water heater in (j).
(7) And sending a consumption control signal to the individual water heaters in the response group.
(8) Selecting individuals capable of executing the reduction type response from the water heater group controlled by the aggregator to form an alternative group;
individual forming candidate group C capable of executing cut-off type responseiThe method for determining the candidate group formed by the individuals capable of executing the cut-down type response specifically comprises the following steps:
Figure BDA0002656113630000149
wherein, among others,
Figure BDA00026561136300001410
the running state of a water heater k in the i time slot is set; t isk(i) The hot water temperature of the water heater in the i time slot; d is a heat preservation temperature range threshold; t isminA preset minimum for the water heater (i.e., a minimum threshold for the water heater temperature setting specified by the equipment manufacturer);
Figure BDA00026561136300001411
the operation state of the water heater k in the i time slot is shown as an opening state.
(9) The candidate population individuals are ranked according to potential for curtailment.
ηk(i) I time slot internal water heater CiPriority selected to participate in the curtailment type demand response, representing curtailable potential of the device, by ηk(i) Group C is reducible by pairs of smaller to larger valuesiAll the individuals in the queue are sorted to form a selection queue
Figure BDA0002656113630000151
ηk(i) Is defined as follows:
Figure BDA0002656113630000152
wherein eta isk(i) Representing potential reducible of water heaters k in i-slot, Tk(i) Representing the actual temperature value of the water heater k in the i time slot,
Figure BDA0002656113630000153
for the temperature setting, T, of the water heater k before adjustment in the i-slotminAnd D represents the heat preservation temperature range threshold value of the water heater.
The numerator represents that if the water heater k participates in the reduction type demand response in the i time slot, the reduced temperature setting value of the water heater k can be adjusted up to the space; the denominator represents the temperature setting that the water heater k has before the water heater k is not involved in the demand response in the i time slot may be down-scaled. Eta ofk(i) A reduction rate in the turndown space is characterized by the water heater k temperature setting. This valueThe smaller the temperature setting adjustment operation is, the smaller the influence of the temperature setting adjustment operation on the temperature setting adjustable space of the water heater is, that is, the smaller the influence on the reduction capability of the water heater is.
(10) And selecting the optimal water heater individual which can meet the current reduction type response to form a response group.
From the ordering queue
Figure BDA0002656113630000154
Searching n water heater individuals in a middle forward direction (from left to right) to form a device group for participating in consumption type demand response in a time slot i
Figure BDA0002656113630000155
Device group EiThe following constraint conditions are satisfied in power for each load individual:
Figure BDA0002656113630000156
in the formula,
Figure BDA0002656113630000157
is composed of
Figure BDA0002656113630000158
The number of the jth water heater in (j).
(11) And sending a reduction control signal to the individual water heaters in the response group.
(12) Judging whether the response is finished or not, if so, turning to the step (13), and otherwise, turning to the step (14);
(13) waiting for the next demand response task;
(14) wait for Δ tcAfter the time, sending the control signal to the individuals in the response group again;
(15) judging whether the response is finished or not, if so, turning to the step (13), and otherwise, turning to the step (16);
(16) if the end time of the demand response is reached, if so, turning to the step (13), otherwise, turning to the step (17);
(17) and (4) updating the current water heater state information and the unresponsive load amount, and turning to the step (3).
The above embodiments disclosed in the present invention describe in detail a power demand response aggregated load cooperative control method, and the above methods disclosed in the present invention can be implemented by various types of devices, so the present invention also discloses a power demand response aggregated load cooperative control apparatus corresponding to the above methods, and specific embodiments are given below for detailed description.
Referring to fig. 5, a power demand response aggregated load cooperative control apparatus disclosed in an embodiment of the present invention mainly includes:
an information obtaining module 502, configured to obtain an operating state, an actual temperature value, and a temperature set value of each electrical device of a user-side residential user, where the user-side residential user is a residential user who has entered into an agreement with an aggregator; the electrical equipment is equipment capable of storing electric energy;
an electrical equipment response type determining module 504, configured to determine a demand response type of each electrical equipment according to the operating state and the actual temperature value;
a response force determining module 506, configured to determine a required response force of each electrical device according to the actual temperature value and the temperature set value;
an execution response type determining module 508, configured to determine a demand response type that needs to be executed in a current timeslot;
an electrical equipment selection module 510, configured to find out electrical equipment corresponding to the demand response type, and select electrical equipment that meets the load amount according to the load amount of demand response that needs to be executed in the current time slot and the demand response capability of the electrical equipment;
the control signal sending module 512 is configured to send a response control signal to each electrical device meeting the load amount, where the response control signal is used to instruct each electrical device meeting the load amount to execute a corresponding demand response.
In one embodiment, further comprising:
the first judgment module is used for judging whether the demand response is finished;
and the control signal sending module is also used for sending the response control signal to each electrical equipment meeting the load amount again after a preset time interval when the demand response is not completed.
In one embodiment, further comprising:
the second judgment module is used for judging whether the demand response is finished after the response control signal is retransmitted;
the type load quantity updating module is used for updating the demand response type and the unresponsive load quantity of each electrical device when the demand response after the response control signal is retransmitted is not completed and the demand response end time is not reached;
the electrical equipment selection module is also used for reselecting corresponding electrical equipment according to the updated demand response type; selecting each electric appliance equipment meeting the unresponsive load quantity according to the unresponsive load quantity and the requirement response force of each electric appliance equipment selected again;
and the control signal sending module is also used for sending a response control signal to each electrical equipment meeting the unresponsive load quantity.
In one embodiment, the demand response type comprises a consumption type response; the electrical equipment is a water heater; the response force determination module includes a subtractive demand response determination module:
and the absorption type demand response determining module is used for judging that the water heater is absorption type demand response when the running state of the water heater is a closing state and the sum of the actual temperature value of the water heater and the heat preservation temperature range threshold value of the water heater is less than or equal to the preset maximum value of the water heater.
In one embodiment, the demand response type includes a curtailment type response; the response determination module includes a pared-down type response determination module:
the cut-down type response determining module is used for judging that the water heater is cut-down type response when the running state of the water heater is in an opening state and the actual temperature value of the water heater is greater than or equal to the preset minimum value of the water heater.
In one embodiment, the demand response force includes a digestible potential, including:
a digestible potential calculation module for calculating a digestible potential by the following formula:
Figure BDA0002656113630000171
λk(i) representing the consumable potential, T, of the water heater k in the i-slotk(i) Representing the actual temperature value of the water heater k in the i time slot,
Figure BDA0002656113630000172
for the temperature setting, T, of the water heater k before adjustment in the i-slotmaxAnd D represents the heat preservation temperature range threshold of the water heater.
In one embodiment, demand response force includes potential curtailable, including:
a potential reducible calculation module for calculating a potential reducible by the following formula:
Figure BDA0002656113630000173
ηk(i) representing potential reducible of water heaters k in i-slot, Tk(i) Representing the actual temperature value of the water heater k in the i time slot,
Figure BDA0002656113630000174
for the temperature setting, T, of the water heater k before adjustment in the i-slotminAnd D represents the heat preservation temperature range threshold value of the water heater.
In one embodiment, further comprising:
the sequencing module is used for sequencing the water heaters from small to large according to the response force of the demands to form a sequencing queue;
and the response group determining module is used for selecting the optimal water heater meeting the load capacity from the sequencing queue to form a response group.
For specific limitations of the electric demand response aggregated load cooperative control device, reference may be made to the above limitations of the electric demand response aggregated load cooperative control method, which is not described herein again. The above-mentioned respective modules in the power demand response aggregate load cooperative control apparatus may be wholly or partially implemented by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
The embodiment of the invention provides an electric power demand response aggregation load cooperative control system, which comprises an aggregator and each electric appliance device controlled by the aggregator, wherein the electric appliance devices are arranged in residential users at user sides, and the aggregator is arranged in a central control system of the residential users at user sides;
each electrical equipment meeting the load capacity is used for receiving a response control signal sent by the aggregator and executing corresponding demand response according to the response control signal;
the aggregator is configured to perform the steps of the power demand response aggregated load cooperative control method described in any of the embodiments.
For specific limitations of the electric demand response aggregated load cooperative control system, reference may be made to the above limitations of the electric demand response aggregated load cooperative control method, which is not described herein again.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.

Claims (10)

1. An electric power demand response aggregation load cooperative control method is characterized by comprising the following steps:
acquiring the operating state, the actual temperature value and the temperature set value of each electrical appliance of a user side resident user, wherein the user side resident user is a resident user who enters into an agreement with an aggregator; the electrical equipment is equipment capable of storing electric energy;
determining the demand response type of each electrical equipment according to the operation state and the actual temperature value, and determining the demand response force of each electrical equipment according to the actual temperature value and the temperature set value;
determining the demand response type to be executed in the current time slot;
finding out each electric appliance device corresponding to the demand response type, and selecting each electric appliance device meeting the load quantity according to the load quantity of demand response to be executed in the current time slot and the demand response force of each electric appliance device;
and sending a response control signal to each electric appliance device meeting the load amount, wherein the response control signal is used for indicating each electric appliance device meeting the load amount to execute corresponding demand response.
2. The method of claim 1, further comprising, after the step of sending a responsive control signal to each appliance device satisfying the load amount:
judging whether the demand response is finished;
and when the demand response is not completed, retransmitting the response control signal to each electrical equipment meeting the load amount after a preset time period.
3. The method of claim 2, further comprising, after the step of re-sending the responsive control signal to each appliance satisfying the load amount:
judging whether the demand response is finished after the response control signal is retransmitted;
updating the demand response type and the unresponsive load quantity of each electrical device when the demand response after the response control signal is retransmitted is not completed and the demand response end time is not reached;
reselecting corresponding electrical equipment according to the updated demand response type;
selecting each electric appliance equipment meeting the unresponsive load quantity according to the unresponsive load quantity and the requirement response force of each electric appliance equipment selected again;
and sending a response control signal to each electric appliance device meeting the unresponsive load quantity.
4. The method of claim 2 or 3, wherein the demand response type comprises a subtractive response; the electrical equipment is a water heater; the step of determining the demand response type of each electrical device according to the operating state and the actual temperature value includes:
and when the running state of the water heater is a closed state, and the sum of the actual temperature value of the water heater and the heat preservation temperature range threshold value of the water heater is less than or equal to the preset maximum value of the water heater, judging that the water heater responds to the absorptive demand.
5. The method of claim 4, wherein the demand response type comprises a curtailment type response; in the step of determining the demand response type of each electrical device according to the operating state and the actual temperature value, the method further includes:
and when the running state of the water heater is the starting state and the actual temperature value of the water heater is greater than or equal to the preset minimum value of the water heater, judging that the water heater responds in a reduction mode.
6. The method of claim 5, wherein the demand response force comprises a potential for consumption, and wherein the step of determining the demand response force for each of the electrical devices based on the actual temperature value and the temperature set point comprises: the potential for digestibility is calculated by the following formula:
Figure FDA0002656113620000021
λk(i) representing the consumable potential, T, of the water heater k in the i-slotk(i) Indicating the actual temperature of the water heater k in the i-slotThe value of the intensity of the light beam is calculated,
Figure FDA0002656113620000022
for the temperature setting, T, of the water heater k before adjustment in the i-slotmaxAnd D represents the heat preservation temperature range threshold of the water heater.
7. The method of claim 5, wherein the demand response force comprises a potential for curtailment, and wherein the step of determining the demand response force for each of the electrical devices based on the actual temperature value and the temperature set point comprises: potential curtailment is calculated by the following formula:
Figure FDA0002656113620000023
ηk(i) representing potential reducible of water heaters k in i-slot, Tk(i) Representing the actual temperature value of the water heater k in the i time slot,
Figure FDA0002656113620000024
for the temperature setting, T, of the water heater k before adjustment in the i-slotminAnd D represents the heat preservation temperature range threshold value of the water heater.
8. The method according to claim 6 or 7, wherein the step of selecting each electrical appliance meeting the load amount according to the load amount of the demand response required to be executed in the current time slot and the demand response force of each electrical appliance comprises:
sequencing the water heaters from small to large according to the demand response force to form a sequencing queue;
and selecting the optimal water heater meeting the load amount from the sequencing queue to form a response group.
9. An electric power demand response aggregate load cooperative control apparatus, characterized by comprising:
the information acquisition module is used for acquiring the operating state, the actual temperature value and the temperature set value of each electrical equipment of a user-side resident user, wherein the user-side resident user is a resident user who enters into an agreement with the aggregator; the electrical equipment is equipment capable of storing electric energy;
the electrical equipment response type determining module is used for determining the demand response type of each electrical equipment according to the operating state and the actual temperature value;
the response force determining module is used for determining the required response force of each electrical equipment according to the actual temperature value and the temperature set value;
the execution response type determining module is used for determining the demand response type which needs to be executed in the current time slot;
the electrical equipment selection module is used for finding out each electrical equipment corresponding to the demand response type and selecting each electrical equipment meeting the load quantity according to the load quantity of the demand response to be executed in the current time slot and the demand response force of each electrical equipment;
and the control signal sending module is used for sending a response control signal to each electrical equipment meeting the load quantity, and the response control signal is used for indicating each electrical equipment meeting the load quantity to execute corresponding demand response.
10. An electric power demand response aggregate load cooperative control system including an aggregator, and each of electric appliances set in consumer-side residential consumers to be controlled by the aggregator,
each electric appliance device meeting the load capacity is used for receiving a response control signal sent by the aggregator and executing corresponding demand response according to the response control signal;
the aggregator is configured to perform the steps of the power demand response aggregate load cooperative control method of claims 1-8.
CN202010887928.1A 2020-08-28 2020-08-28 Power demand response aggregation load cooperative control method, device and system Pending CN111950934A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010887928.1A CN111950934A (en) 2020-08-28 2020-08-28 Power demand response aggregation load cooperative control method, device and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010887928.1A CN111950934A (en) 2020-08-28 2020-08-28 Power demand response aggregation load cooperative control method, device and system

Publications (1)

Publication Number Publication Date
CN111950934A true CN111950934A (en) 2020-11-17

Family

ID=73367097

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010887928.1A Pending CN111950934A (en) 2020-08-28 2020-08-28 Power demand response aggregation load cooperative control method, device and system

Country Status (1)

Country Link
CN (1) CN111950934A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113675849A (en) * 2021-10-21 2021-11-19 中国电力科学研究院有限公司 Method and system for micro-power electric load equipment to participate in power grid interactive regulation
CN114744608A (en) * 2021-01-08 2022-07-12 北京国网普瑞特高压输电技术有限公司 Power demand response aggregation air conditioner load cooperative control method and system
CN116388205A (en) * 2023-06-06 2023-07-04 中国电力科学研究院有限公司 Load equipment power regulation and control method and device suitable for intelligent energy unit

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110045626A (en) * 2019-05-14 2019-07-23 华北电力大学 The Intelligent housing strategy changed based on temperature

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110045626A (en) * 2019-05-14 2019-07-23 华北电力大学 The Intelligent housing strategy changed based on temperature

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114744608A (en) * 2021-01-08 2022-07-12 北京国网普瑞特高压输电技术有限公司 Power demand response aggregation air conditioner load cooperative control method and system
CN114744608B (en) * 2021-01-08 2024-03-26 北京国网普瑞特高压输电技术有限公司 Cooperative control method and system for power demand response aggregation air conditioner load
CN113675849A (en) * 2021-10-21 2021-11-19 中国电力科学研究院有限公司 Method and system for micro-power electric load equipment to participate in power grid interactive regulation
CN116388205A (en) * 2023-06-06 2023-07-04 中国电力科学研究院有限公司 Load equipment power regulation and control method and device suitable for intelligent energy unit
CN116388205B (en) * 2023-06-06 2023-08-11 中国电力科学研究院有限公司 Load equipment power regulation and control method and device suitable for intelligent energy unit

Similar Documents

Publication Publication Date Title
Wei et al. A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy
Jiang et al. Multi-period optimal energy procurement and demand response in smart grid with uncertain supply
Wang et al. A game theory-based energy management system using price elasticity for smart grids
Saleh et al. Load aggregation from generation-follows-load to load-follows-generation: Residential loads
Bagalini et al. Solar PV-battery-electric grid-based energy system for residential applications: system configuration and viability
CN111950934A (en) Power demand response aggregation load cooperative control method, device and system
CN107563676A (en) Consider the source lotus coordinated operation dispatching method of Multiple Time Scales polymorphic type demand response
CN111340299B (en) Multi-objective optimal scheduling method for micro-grid
Bartolucci et al. Renewable source penetration and microgrids: Effects of MILP–Based control strategies
CN104408663A (en) User demand response dispatching system and method of smart grid
CN105322550A (en) Method for optimizing operation of household micro-grid
CN106575421A (en) Device operation setting value determination apparatus, device operation setting value determination method, and device operation setting value determination program
Jin et al. User-preference-driven model predictive control of residential building loads and battery storage for demand response
Nwulu et al. A combined dynamic economic emission dispatch and time of use demand response mathematical modelling framework
Chandran et al. Demand response and consumer inconvenience
Minhas et al. Modeling and optimizing energy supply and demand in home area power network (HAPN)
Yang et al. Bi-level decentralized control of electric heating loads considering wind power accommodation in real-time electricity market
CN110518570A (en) A kind of more micro-grid system optimal control methods in family based on the automatic demand response of event driven
Yue et al. Dual-pricing policy for controller-side strategies in demand side management
Ben Belgacem et al. Design and Implementation of Multi-Source and Multi-Consumer Energy‎ Sharing System in Collaborative Smart Microgrid Installation
CN113885367A (en) Building energy efficiency management control system and method
Schopfer et al. Providing primary frequency control with residential scale photovoltaic-battery systems: A techno-economic simulation study of a virtual power plant
Liu et al. Market for multi-dimensional flexibility with parametric demand response bidding
Li et al. Aggregator’s scheduling and offering strategy for renewable integration based on information gap decision theory
CN112053193A (en) Power generation management method, device and equipment based on adjustable electricity price and storage medium

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