CN112413717B - Control system and method for thermal user to participate in demand response - Google Patents

Control system and method for thermal user to participate in demand response Download PDF

Info

Publication number
CN112413717B
CN112413717B CN202011251127.2A CN202011251127A CN112413717B CN 112413717 B CN112413717 B CN 112413717B CN 202011251127 A CN202011251127 A CN 202011251127A CN 112413717 B CN112413717 B CN 112413717B
Authority
CN
China
Prior art keywords
response
user
day
controller
demand response
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.)
Active
Application number
CN202011251127.2A
Other languages
Chinese (zh)
Other versions
CN112413717A (en
Inventor
周丽霞
易忠林
郭昆健
戚成飞
丁恒春
刘潇
丁建勇
郑思达
孙贝贝
高赐威
刘岩
李文文
陈涛
王燕晋
薛一鸣
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.)
State Grid Corp of China SGCC
Southeast University
State Grid Jibei Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Southeast University
State Grid Jibei Electric Power 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 State Grid Corp of China SGCC, Southeast University, State Grid Jibei Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN202011251127.2A priority Critical patent/CN112413717B/en
Publication of CN112413717A publication Critical patent/CN112413717A/en
Application granted granted Critical
Publication of CN112413717B publication Critical patent/CN112413717B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24DDOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D19/00Details
    • F24D19/10Arrangement or mounting of control or safety devices
    • F24D19/1006Arrangement or mounting of control or safety devices for water heating systems
    • F24D19/1009Arrangement or mounting of control or safety devices for water heating systems for central heating
    • F24D19/1015Arrangement or mounting of control or safety devices for water heating systems for central heating using a valve or valves

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention discloses a control system and a method for a heating power user to participate in demand response, wherein a user side response terminal is used for monitoring indoor parameters; the user side demand response management platform is used for acquiring next-day meteorological parameters and next-day response information declared by the user through the mobile terminal; the controller is used for calculating the response potential of the governed user according to the data information and counting the total potential value; the platform collects all total potential values, and a scheduling system makes a response plan according to the next day system calling requirements; the platform decomposes the task of the response plan and issues a task instruction to the controller; the controller decomposes the task, determines the participating users and the response quantity, and issues a control command to the governed response terminal for implementing response the next day; the response terminal adjusts the heat supply amount by controlling the opening of the valve according to the control command and uploads real-time monitoring data to the controller; the controller uploads the monitoring data to the platform, the platform settles the transaction, and the result of the transaction settlement is issued to the user.

Description

Control system and method for thermal user to participate in demand response
Technical Field
The invention relates to the technical field of participation of a thermodynamic system in power demand response, in particular to a control system and a method for participation of thermodynamic users in demand response.
Background
With the popularization of energy-saving and emission-reducing policies, the power generation of new energy resources such as wind power and photovoltaic is vigorously developed, and wind-heat conflict caused by the fact that the scale of wind power is increased sharply in the heating season of northern areas is increasingly serious, so that a large amount of abandoned wind is caused.
In order to eliminate the abandoned wind power, electric heating modes such as a heat storage electric boiler are put forward in wind power rich areas at present. In actual engineering, heat supply companies mostly adopt a heat supply mode higher than the heat load demand of residents, the control mode is rough, and resource waste is caused. Meanwhile, according to the thermal comfort of the human body, different people have different requirements on indoor thermal comfort, the heat supply load in the room is reduced in a short time, and the human body does not feel uncomfortable.
In summary, a technical solution capable of adjusting and controlling a heat supply load is needed to satisfy a user comfort level through a fine control of the heat load.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a control system and a control method for participation of heating users in demand response, which can finely control indoor heating loads of different users, and the side heat loads of the users can be used as response resources to participate in the demand response of an electric power system under the condition of meeting the requirement of user comfort.
In a first aspect of an embodiment of the present invention, a control system for participation of a thermal user in demand response is provided, the system comprising: the system comprises a user side response terminal, a controller and a user side demand response management platform; wherein the content of the first and second substances,
the user side response terminal is used for monitoring indoor parameters and uploading the indoor parameters to the corresponding controller;
the user side demand response management platform is used for acquiring next-day meteorological parameters and next-day response information declared by the user through the mobile terminal, and transmitting the next-day meteorological parameters and the next-day response information to the controller;
the controller is used for calculating response potential of the managed users according to the indoor parameters, the next-day meteorological parameters and the next-day response information, and counting total potential values and reporting the total potential values to a user-side demand response management platform;
the user side demand response management platform collects the total potential values reported by all the controllers, reports the collected results to the dispatching system, and the dispatching system calls a demand formulation response plan according to the next day system and sends the response plan to the user side demand response management platform;
the user side demand response management platform carries out task decomposition on the received response plan and issues a task instruction to the controller;
the controller decomposes the task according to a task instruction issued by a user side demand response management platform, determines participating users and response quantity, and issues a control command to a managed user side response terminal for implementing response the next day;
the user side response terminal adjusts the heat supply amount by controlling the opening of the valve according to the received control command and uploads real-time monitoring data to the controller;
the controller uploads the monitoring data to the user side demand response management platform, the user side demand response management platform carries out transaction settlement, and a transaction settlement result is issued to the user.
In a first aspect of an embodiment of the present invention, a method for controlling participation of a thermal user in demand response is provided, where the method includes:
monitoring indoor parameters;
acquiring next-day meteorological parameters and next-day response information declared by a user through a mobile terminal;
calculating response potential of the managed users according to the indoor parameters, the next-day meteorological parameters and the next-day response information, and counting a total potential value;
summarizing the total potential value, reporting the summarized result to a scheduling system, and making a response plan by the scheduling system according to the next day system calling requirement;
decomposing the task according to the response plan to obtain a task instruction;
decomposing the task according to the task instruction, determining participating users and response quantity, and issuing a control command to implement response the next day;
regulating the heat supply amount by controlling the opening of the valve according to the control command, and uploading real-time monitoring data;
and carrying out transaction settlement according to the monitoring data, and issuing a transaction settlement result to the user.
In a third aspect of the embodiments of the present invention, a computer device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the processor implements a control method for thermal user participation in demand response.
In a fourth aspect of embodiments of the present invention, a computer-readable storage medium is presented, which stores a computer program that, when executed by a processor, implements a method of controlling participation of a thermal user in demand response.
The control system and the method for the heating power users to participate in demand response perform response potential calculation by monitoring indoor parameters, reporting next-day response information by the users and next-day meteorological parameters, execute a response plan based on a potential value, and decompose tasks of the response plan, so that the heating loads in different user rooms are finely controlled, theoretical and data bases can be provided for practical engineering, the accurate control of the heating loads in the single user rooms in each time period is facilitated, and the heating power users can participate in power demand response by using heat load resources on the premise of meeting human body thermal comfort requirements for users in a heat storage electric boiler heating area.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a control system architecture for thermal user participation demand response according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an exemplary application scenario of the present invention.
Fig. 3 is a detailed structural diagram of a control system for thermal user participation demand response according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of an architecture of a ue-side responder according to an embodiment of the present invention.
Fig. 5 is a schematic diagram of a controller according to an embodiment of the invention.
Fig. 6 is a schematic diagram of a network structure according to an embodiment of the present invention.
FIG. 7 is a schematic diagram of a demand response potential solution flow according to an embodiment of the present invention.
Fig. 8 is a schematic diagram of a screening process of a user participating in response according to an embodiment of the present invention.
Fig. 9 is a schematic diagram of an architecture of a customer-side demand response management platform according to an embodiment of the present invention.
Fig. 10 is a flowchart illustrating a method for controlling participation of a thermal user in a demand response according to an embodiment of the present invention.
FIG. 11 is a block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
According to the embodiment of the invention, a control method and a control system for participation of a thermal user in demand response are provided.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.
Fig. 1 is a schematic diagram of a control system architecture for thermal user participation demand response according to an embodiment of the present invention. As shown in fig. 1, the system includes: a user side response terminal 110, a controller 120 and a user side demand response management platform 130; wherein the content of the first and second substances,
the user side response terminal 110 is configured to monitor indoor parameters and upload the indoor parameters to the corresponding controller 120;
the user side demand response management platform 130 is configured to obtain the next-day meteorological parameters and the next-day response information declared by the user through the mobile terminal, and issue the next-day meteorological parameters and the next-day response information to the controller 120;
the controller 120 is configured to perform response potential calculation on the managed users according to the indoor parameters, the next-day meteorological parameters and the next-day response information, and report a statistical total potential value to the user-side demand response management platform 130;
the user side demand response management platform 130 collects the total potential values reported by all the controllers 120, reports the collected results to the dispatching system, and the dispatching system makes a response plan according to the next day system calling demand and sends the response plan to the user side demand response management platform 130;
the user-side demand response management platform 130 performs task decomposition on the received response plan, and issues a task instruction to the controller 120;
the controller 120 decomposes the task according to the task instruction issued by the user side demand response management platform 130, determines the participating users and the response quantity, and issues a control command implementation response to the governed user side response terminal 110 the next day;
the user side response terminal 110 adjusts the heat supply amount by controlling the opening of the valve according to the received control command, and uploads the real-time monitoring data to the controller 120;
the controller 120 uploads the monitoring data to the user-side demand response management platform 130, and the user-side demand response management platform 130 performs transaction settlement and issues a transaction settlement result to the user.
In an embodiment, the indoor parameters monitored by the user-side response terminal 110 at least include: the indoor temperature and the flow temperature difference in the indoor pipeline.
In an embodiment, the user-side demand response management platform 130 is further configured to: and sending an offer to the mobile terminal, and setting the time period for participating in response the next day and the minimum requirement of the indoor environment by the user.
In one embodiment, when the controller 120 performs the response potential calculation, the calculation formula is:
Figure GDA0003269657290000051
wherein, δ Qi(t) response potential; qi(t) the heat supply quantity required by the user i at the moment t is obtained according to the next-day meteorological parameters;
Figure GDA0003269657290000052
the minimum heat supply amount required by the user i at the moment t is obtained from the response information of the next day.
In one embodiment, the customer-side demand response management platform 130 is further configured to: according to the potential duty ratio corresponding to each controller 120, performing task decomposition on the received response plan, and issuing a decomposed task instruction to the controllers 120;
in one embodiment, the controller 120 is further configured to: according to the task instruction issued by the user side demand response management platform 130, the screening of the response users is performed with the aim of minimum total number of the participating users, and the decomposition of the tasks is performed according to the screened response users.
In one embodiment, the user-side demand response management platform 130 issues the transaction settlement result to the mobile terminal of the user after the transaction settlement is completed.
The control system for the heating power users to participate in demand response can provide theoretical and data support for practical engineering, is beneficial to accurately controlling the indoor heat supply load of a single user in each period, and enables the heating power users to participate in power demand response by utilizing heat load resources on the premise of meeting the thermal comfort demand of human bodies for users in heat storage electric boiler heat supply areas.
It should be noted that although several modules of the control system of the thermodynamic user participation in demand response are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the modules described above may be embodied in one module according to embodiments of the invention. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
For a more clear explanation of the above-described control system for thermodynamic user participation in demand response, the following description is given with reference to a specific embodiment.
Referring to fig. 2, an exemplary application scenario of the present invention is shown. As shown in fig. 2, the system is composed of a user side response terminal, a controller and a user side demand response management platform.
The user side response terminal is located at an entrance of a user indoor heat supply pipeline, each controller is located in a corridor and is responsible for receiving a data signal of the user side response terminal in a user room supplied by a heat supply branch, and issuing of a control command is carried out on the data signal, and the user side response terminal and the controller can be connected through an R485 line.
The controllers can be in communication connection with the user side demand response management platform through wireless 4G/5G, information interaction is kept, meanwhile, information interaction exists between the controllers and the user side demand response management platform, the controllers analyze the governed user response potentials and report the governed user response potentials to the user side demand response management platform, the user side demand response management platform carries out task decomposition according to superior scheduling instructions, response plans are issued to the controllers, the controllers issue the tasks to the user side response terminals after further decomposition, and then the heat supply amount of each room is controlled.
Further, referring to fig. 3, a detailed structural diagram of the control system for the thermal user to participate in the demand response is shown. As shown in fig. 3, the user-side response terminal 110 is composed of a monitoring module, a communication module and a control module; the controller 120 is composed of a computing module, a communication module and a storage module; the user-side demand response management platform 130 is composed of a computing module, a communication module, an interaction module, a storage module and a transaction module.
Next, a control system of the thermodynamic user participation demand response according to an exemplary embodiment of the present invention will be described in detail with reference to fig. 4 to 9.
The term "module" or "unit" used hereinafter may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
1. The user side response terminal:
fig. 4 is a schematic diagram of an architecture of a user-side response terminal. As shown in fig. 4, the user-side response terminal 110 includes: a monitoring module 111, a communication module 112 and a control module 113. Wherein the content of the first and second substances,
the monitoring module 111:
the monitoring module 111 is used for monitoring the indoor temperature T of each user at the moment Tin,i(T), the temperature difference delta T between the indoor water supply and return pipelines at the moment Ti(t), at the moment t, the flow m in the indoor water supply and return pipelinei(t)。
The communication module 112:
the communication module 112 is an information interaction area between the user-side response terminal 110 and the controller 120, and the user-side response terminal 110 monitors the indoor temperature Tin,i(T) temperature difference Δ T between water supply and return in roomi(t) indoor water supply and return pipe inner flow mi(t) upload to its upper level controller 120; and receives a control command from the upper controller 120.
The control module 113:
the communication module 112 transmits the received control command to the control module 113, and the control module 113 regulates and controls the flow rate in the indoor heat supply pipeline according to the control command, so as to achieve the effect of regulating the indoor heat supply.
2. A controller:
referring to fig. 5, an architecture diagram of the controller is shown. As shown in fig. 5, the controller 120 includes: a communication module 121, a calculation module 122 and a storage module 123. Wherein the content of the first and second substances,
the communication module 121:
the communication module 121 is divided into two parts, namely "information interaction with a subordinate user side response terminal" and "information interaction with a user side demand response management platform":
receiving detection and acquisition data uploaded by a terminal, and simultaneously issuing an adjustment control command to the terminal;
receiving weather and user demand parameters issued by the platform, uploading the total regulation potential of the governed user to the platform, and receiving a regulation plan issued by the platform.
The calculation module 122:
the calculation module 122 includes five parts of a neural network model, a comfort model, a heat supply model, a demand response potential and a response plan task decomposition calculation, which are explained in detail below:
2.1, neural network model:
considering that the heat conductivity coefficient, the window-wall ratio and other parameters of the house structure of different users are different, each user needs to be finely controlled, and the outdoor temperature T is received by the communication module at the moment T issued by the platformout(t) outdoor wind speed Vwind(t) outdoor wind direction Dwind(t) and outdoor air humidity
Figure GDA0003269657290000071
When the weather parameter data establishes the relation among the outdoor temperature, the outdoor wind speed and direction, the outdoor air humidity, the indoor temperature and the indoor required heat supply quantity for each user, namely
Figure GDA0003269657290000072
Wherein Q isiAnd (t) is the heat supply amount required by the user i at the moment t.
Establishing a neural network model with a three-layer structure:
an input layer: inputting variables related to mass flow to be predicted, wherein the variables are outdoor temperature, outdoor wind speed, outdoor wind direction, outdoor air humidity and indoor temperature, and the number of nodes is 5;
an output layer: the required heat supply amount of the user i is taken as output, and the number of the nodes is 1;
hiding the layer: the patent refers to the following empirical formula for the problem of selecting the number of hidden layer neurons;
Figure GDA0003269657290000073
wherein n is the number of neurons in the input layer; m is the number of neuron output layers; a is a constant between [1, 10 ]. A is [4, 13], and the excessive number of hidden layer neurons can increase the network calculation amount and easily generate the overfitting problem; if the number of the neurons is too small, the network performance is affected, and the expected effect cannot be achieved, and the number of the hidden layer neurons is selected to be 7 based on the method.
Referring to fig. 6, a schematic diagram of a network structure is shown. As shown in fig. 6, the network may use Sigmoid as the excitation function of the hidden layer.
The neural network model is always trained by taking the latest data, for example, when the training is carried out by using the data of 24 hours per day for 10 days, the data of 10 days needs to be updated in a rolling way so as to correct the parameters of the neural network model.
2.2, comfort model:
professor p.q.fanger classifies PMV into seven levels in table 1 according to the thermal sensation of the human body, and a state in which PMV ═ 0 is the most ideal thermal comfort environment.
TABLE 1 PMV index
Thermal comfort Cold Cool down Slight cool Is moderate Micro-warmer Heating device Heat generation
PMV value -3 -2 -1 0 1 2 3
Because the index is influenced by various factors, the calculation is very complex, the influence of air flow rate, air humidity and the like is often ignored in engineering, the index is simplified and processed, and the calculation formula is as follows
Figure GDA0003269657290000081
Wherein M isiThe human body energy metabolism rate of the user i is related to the activity intensity of the human body; i isclIn winter, the thermal resistance of the clothing is 0.11m2 ℃/W; t issThe average temperature of human skin in a comfortable state may be approximately 33.5 ℃.
IS07730 recommends that the value of PMV should be between-0.5 and 0.5, but different users can determine demand response potential according to their own preference for cold and hot, considering that each person has different preference for cold and hot.
2.3, heat supply model:
when the heat storage electric boiler is used for heating, the heat supply network is adopted on the secondary side, and single-user heating is carried out by adjusting the flow in the water supply and return pipeline when adjusting the indoor heating temperature. The relationship between the heat supply required by the user and the flow is as follows:
Qi(t)=cmi(t)ΔTi(t);
wherein c is the specific heat capacity of the hot water in the heat supply pipeline.
2.4, demand response potential:
the load demand response potential at time t of user i is the difference between this regular heat supply and the minimum heat supply required, i.e.:
Figure GDA0003269657290000082
wherein, δ Qi(t) demand response potential for user i at time t;
Figure GDA0003269657290000091
the minimum heat supply amount required by the user i at the moment t is related to the minimum comfort requirement (or the minimum temperature requirement) in the user room;
Figure GDA0003269657290000092
and
Figure GDA0003269657290000093
and the corresponding flow in the pipe and the temperature difference of the supplied and returned water are respectively used for the user i at the moment t with the minimum heat supply amount for heat supply.
Based on the above process, the flow of solving the response potential demanded by the user i at the time t can be referred to fig. 7.
2.5, response plan task decomposition:
considering that the number of terminals under the jurisdiction of the controller is large, the minimum number of the called terminals is taken as a target when the task is decomposed, namely
Figure GDA0003269657290000094
Wherein x isi(t) whether the user participates in the response at the moment t or not, and the participation time xi(t) 1, otherwise xi(t)=0。
In order to achieve the goal of sorting the potentials of all users at the time t from large to small, the screening of the participating users can be performed according to the flow shown in fig. 8.
The storage module 123:
the storage module 123 stores the monitoring data received by the communication module 122 from the terminal and the parameter data transmitted by the platform, so that the calculation module calls the historical data to perform rolling update on the neural network model.
3. The user side demand response management platform comprises:
fig. 9 is a schematic diagram of an architecture of a customer-side demand response management platform. As shown in FIG. 9, the customer-side demand response management platform 130 includes a transaction module 131, an interaction module 132, a calculation module 133, a communication module 134, and a storage module 135. Wherein the content of the first and second substances,
the transaction module 131:
the transaction module 131 includes user registration, contract management, and transaction settlement functions.
User registration is to register the participating users on the platform, each participating user has a separate account, and the account form of the user can be XXX (controller number) -YYY (user number governed by each controller) for facilitating information classification.
Contract management is that participating users sign an electronic contract on the platform according to the response plan allocated before the day and respond according to the contract plan the next day.
And the transaction settlement is carried out according to the actual participation amount of the user after the user participates in the response the next day.
The interaction module 132:
the interaction module 132 is used for realizing online interaction between the user and the platform in a mobile APP or wechat public number manner.
The mobile terminal provides an open account registration function, users participating in demand response perform user registration on line, initiate management service application, and after receiving the service application, the platform performs project management functions such as acceptance and subsequent signing.
In addition, facing the signed user, the platform pushes participation regulation and control request information to the signed user, in order to facilitate the user to operate in time, the load aggregator sends two times of next-day demand response invitation short messages to the user at 12:00 noon and 18:00 pm every day, and the user confirms whether to participate and sets the next-day participation time period on line, and the data set by 22:00 pm is taken as the reference. Considering that part of people is sensitive to temperature values and part of people is sensitive to cold and hot temperatures, the operation habits of setting the interfaces to adapt to different crowds can be divided into two types, and the two types of interfaces can be switched automatically.
The first is a time period and a comfort value, such as 'time period 09:00-17:00, comfort level-1', wherein the comfort level is-3, and the interval value is 0.5;
the second is a time period and a temperature value, for example, the time period is 12:00-17:00, the temperature is 23', wherein the Tem is 18-32, and the interval value is 0.5.
For example, when the user a goes to work at a company with 09:00-17:00 on the next day, the time period has no requirement on the indoor temperature, the lowest acceptable cooling state can be achieved in other time periods, and when the user wants to reach the desired temperature state at 17:00 home, the user a can set the time period 00:00-09:00 and the comfort level-1 on the interface; comfort level-3 at time period 09:00-16: 00; time period 16:00-24:00, comfort-1 ", when it is considered that the room is heated one hour in advance in order for user a to reach the desired indoor state at 17: 00.
The user B is the old man who is at home all day next day, the temperature in the day is 10:00-16:00 and can be lower by 22 ℃, the temperature in other time periods is higher, preferably about 26 ℃, and a time period of 00:00-10:00 and the temperature of 26 can be set on the interface; time period of 10:00-16:00, temperature of 22; time period 16:00-24:00, temperature 26 ".
The calculation module 133:
the calculation module 133 is configured to decompose the task instruction under scheduling, decompose the scheduling power to each controller, and decompose the scheduling power according to the total reported potential ratio during decomposition, that is:
Figure GDA0003269657290000101
wherein, Pj(t) is the split power of controller j at time t; delta Qji(t) is the response potential of the terminal user i governed by the controller j at the moment t; pdAnd (t) is the total amount of tasks assigned by the scheduling.
The communication module 134:
the communication module 134 issues the next-day requirement parameters set by the user and received by the interaction module 132 to the corresponding upper-level controller, and issues the next-day outdoor weather parameters of the external input platform to each controller.
The communication module 134 receives the total adjustment potential reported by the controllers, and issues the next day response plan formulated by the calculation module 133 to each controller.
The storage module 135:
the storage module 135 stores the total regulation potential of the communication module 134 from each controller, the response plan issued by the upper level, the task instruction issued by each controller, the contract settlement result, and the like.
Having described the system of an exemplary embodiment of the present invention, a method of controlling the participation of a thermal user in demand response of an exemplary embodiment of the present invention will now be described with reference to fig. 10.
The implementation of the control method for the participation of the thermal user in the demand response can be referred to the implementation of the system, and repeated details are omitted.
Based on the same inventive concept, the present invention further provides a method for controlling participation of a thermal user in demand response, as shown in fig. 10, the system includes:
step S101, monitoring indoor parameters;
step S102, acquiring next-day meteorological parameters and next-day response information declared by a user through a mobile terminal;
step S103, calculating response potential of the governed user according to the indoor parameters, the next-day meteorological parameters and the next-day response information, and counting a total potential value;
step S104, summarizing the total potential value, reporting the summarized result to a scheduling system, and making a response plan by the scheduling system according to the next day system calling requirement;
step S105, decomposing the task according to the response plan to obtain a task instruction;
step S106, decomposing the task according to the task instruction, determining the participating users and the response quantity, and issuing a control command to implement response the next day;
step S107, adjusting the heating load by controlling the opening of the valve according to the control command, and uploading real-time monitoring data;
and step S108, carrying out transaction settlement according to the monitoring data, and issuing a transaction settlement result to the user.
It should be noted that although the operations of the method of the present invention have been described in the above embodiments and the accompanying drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the operations shown must be performed, to achieve the desired results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Based on the aforementioned inventive concept, as shown in fig. 11, the present invention further provides a computer device 1100, which includes a memory 1110, a processor 1120, and a computer program 1130 stored on the memory 1110 and operable on the processor 1120, wherein the processor 1120, when executing the computer program 1130, implements the aforementioned control method for the thermal user to participate in the demand response.
Based on the foregoing inventive concept, the present invention proposes a computer-readable storage medium storing a computer program which, when executed by a processor, implements the foregoing control method of thermal user participation in demand response.
The control system and the method for the heating power users to participate in demand response perform response potential calculation by monitoring indoor parameters, reporting next-day response information by the users and next-day meteorological parameters, execute a response plan based on a potential value, and decompose tasks of the response plan, so that the heating loads in different user rooms are finely controlled, theoretical and data bases can be provided for practical engineering, the accurate control of the heating loads in the single user rooms in each time period is facilitated, and the heating power users can participate in power demand response by using heat load resources on the premise of meeting human body thermal comfort requirements for users in a heat storage electric boiler heating area.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A control system for participation by a thermal user in demand response, the system comprising: the system comprises a user side response terminal, a controller and a user side demand response management platform; wherein the content of the first and second substances,
the user side response terminal is used for monitoring indoor parameters and uploading the indoor parameters to the corresponding controller;
the user side demand response management platform is used for acquiring next-day meteorological parameters and next-day response information declared by the user through the mobile terminal, and transmitting the next-day meteorological parameters and the next-day response information to the controller;
the controller is used for calculating response potential of the managed users according to the indoor parameters, the next-day meteorological parameters and the next-day response information, and counting total potential values and reporting the total potential values to a user-side demand response management platform;
the user side demand response management platform collects the total potential values reported by all the controllers, reports the collected results to the dispatching system, and the dispatching system calls a demand formulation response plan according to the next day system and sends the response plan to the user side demand response management platform;
the user side demand response management platform carries out task decomposition on the received response plan and issues a task instruction to the controller;
the controller decomposes the task according to a task instruction issued by a user side demand response management platform, determines participating users and response quantity, and issues a control command to a managed user side response terminal for implementing response the next day;
the user side response terminal adjusts the heat supply amount by controlling the opening of the valve according to the received control command and uploads real-time monitoring data to the controller;
the controller uploads the monitoring data to the user side demand response management platform, the user side demand response management platform carries out transaction settlement, and a transaction settlement result is issued to the user.
2. The control system for thermal user participation in demand response of claim 1, wherein the indoor parameters monitored by the user-side response terminal include at least: the indoor temperature and the flow temperature difference in the indoor pipeline.
3. The system for controlling participation of thermodynamic users in demand response according to claim 1, wherein the next day response information declared by the user through the mobile terminal, acquired by the user-side demand response management platform, includes:
and sending an offer to the mobile terminal, and setting the time period for participating in response the next day and the minimum requirement of the indoor environment by the user.
4. The system of claim 1, wherein the controller is configured to calculate response potential of the managed users according to the indoor parameters, the next-day meteorological parameters, and the next-day response information, and report a statistical total potential value to the user-side demand response management platform, and the system comprises:
the response potential is calculated as:
Figure FDA0003269657280000021
wherein, δ Qi(t) response potential; qi(t) is the heat supply required by user i at time t;
Figure FDA0003269657280000022
the minimum heat supply is needed for the user i at the moment t.
5. The control system for the participation of the thermal users in the demand response according to claim 1, wherein the user side demand response management platform performs task decomposition on the received response plan and issues a task instruction to the controller, and the method comprises the following steps:
and the user side demand response management platform carries out task decomposition on the received response plan according to the potential ratio of each controller, and issues the decomposed task instruction to the controllers.
6. The system for controlling the participation of the thermal users in the demand response according to claim 1, wherein the controller decomposes the task according to a task instruction issued by the user side demand response management platform, determines the participation users and the response amount, and issues a control command to the managed user side response terminal the next day to implement the response, comprising:
and the controller screens response users by taking the minimum total number of the participating users as a target according to a task instruction issued by the user side demand response management platform, and decomposes the task according to the screened response users.
7. The control system of claim 1, wherein the customer-side demand response management platform is further configured to: and after the transaction settlement is finished, transmitting the transaction settlement result to the mobile terminal of the user.
8. A method of controlling participation of a thermal user in demand response, the method comprising:
monitoring indoor parameters;
acquiring next-day meteorological parameters and next-day response information declared by a user through a mobile terminal;
calculating response potential of the managed users according to the indoor parameters, the next-day meteorological parameters and the next-day response information, and counting a total potential value;
summarizing the total potential value, reporting to a scheduling system, and making a response plan by the scheduling system according to the next day system calling requirement;
decomposing the task according to the response plan to obtain a task instruction;
decomposing the task according to the task instruction, determining participating users and response quantity, and issuing a control command to implement response the next day;
regulating the heat supply amount by controlling the opening of the valve according to the control command, and uploading real-time monitoring data;
and carrying out transaction settlement according to the monitoring data, and issuing a transaction settlement result to the user.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of claim 8 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the method of claim 8.
CN202011251127.2A 2020-11-11 2020-11-11 Control system and method for thermal user to participate in demand response Active CN112413717B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011251127.2A CN112413717B (en) 2020-11-11 2020-11-11 Control system and method for thermal user to participate in demand response

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011251127.2A CN112413717B (en) 2020-11-11 2020-11-11 Control system and method for thermal user to participate in demand response

Publications (2)

Publication Number Publication Date
CN112413717A CN112413717A (en) 2021-02-26
CN112413717B true CN112413717B (en) 2021-11-19

Family

ID=74781317

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011251127.2A Active CN112413717B (en) 2020-11-11 2020-11-11 Control system and method for thermal user to participate in demand response

Country Status (1)

Country Link
CN (1) CN112413717B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113489065B (en) * 2021-07-06 2023-08-15 国网浙江省电力有限公司双创中心 Method and device for acquiring aggregate demand response potential value and electronic equipment
CN113850478A (en) * 2021-08-30 2021-12-28 华能国际电力股份有限公司大连电厂 Intelligent household management system for urban heat supply
CN114593526B (en) * 2022-03-12 2022-11-08 再发现(北京)科技有限公司 Boiler load adjusting method and device, electronic equipment and storage medium
CN115225560B (en) * 2022-07-15 2023-08-22 国网河南省电力公司信息通信公司 Route planning method in power communication service

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8843238B2 (en) * 2011-09-30 2014-09-23 Johnson Controls Technology Company Systems and methods for controlling energy use in a building management system using energy budgets
WO2014047605A1 (en) * 2012-09-24 2014-03-27 Cooper Technologies Company Comfort-optimized demand response
GB2517812B (en) * 2014-03-20 2015-09-23 Netthings Ltd Heating control system
CN105864880B (en) * 2016-04-09 2019-01-29 上海上塔软件开发有限公司 A kind of building electric heating group Load Regulation and dynamic allocation method
CN105976047B (en) * 2016-04-28 2022-03-18 中国电力科学研究院 Resident load demand response potential evaluation method based on flexibility index
US11301941B2 (en) * 2017-06-12 2022-04-12 Tata Consultancy Services Limited Systems and methods for optimizing incentives for demand response
CN111242412B (en) * 2019-12-27 2023-06-20 国网山西省电力公司大同供电公司 Demand response-based heat control load cluster cooperative control method

Also Published As

Publication number Publication date
CN112413717A (en) 2021-02-26

Similar Documents

Publication Publication Date Title
CN112413717B (en) Control system and method for thermal user to participate in demand response
CN110864414B (en) Air conditioner power utilization load intelligent control scheduling method based on big data analysis
Korkas et al. Grid-connected microgrids: Demand management via distributed control and human-in-the-loop optimization
Ghahramani et al. A knowledge based approach for selecting energy-aware and comfort-driven HVAC temperature set points
Luo et al. An operational planning framework for large-scale thermostatically controlled load dispatch
Rajith et al. Real-time optimized HVAC control system on top of an IoT framework
Jafarinejad et al. Bi-level energy-efficient occupancy profile optimization integrated with demand-driven control strategy: University building energy saving
Jia et al. Event-based HVAC control—A complexity-based approach
CN103620902B (en) The control apparatus and method of the power consumption in the system controlling power consumers
Garnier et al. Low computational cost technique for predictive management of thermal comfort in non-residential buildings
Hagras et al. An intelligent agent based approach for energy management in commercial buildings
CN112036934A (en) Quotation method for participation of load aggregators in demand response considering thermoelectric coordinated operation
CN112488372A (en) Double-layer optimized scheduling method for electric heating load under multiple time scales
CN108613332A (en) A kind of energy-saving building film micro area personnel interactive mode hot comfort adjusting method
Chen et al. Energy cost and consumption reduction of an office building by Chaotic Satin Bowerbird Optimization Algorithm with model predictive control and artificial neural network: A case study
CN112540535B (en) Office building thermal comfort control system and method based on deep reinforcement learning
Omarov et al. Design of fuzzy logic based controller for energy efficient operation in smart buildings
Li et al. Toward intelligent multizone thermal control with multiagent deep reinforcement learning
CN113110057A (en) Heating power station energy-saving control method based on artificial intelligence and intelligent decision system
Biyik et al. Cloud-based model predictive building thermostatic controls of commercial buildings: Algorithm and implementation
Yang et al. Bi-level decentralized control of electric heating loads considering wind power accommodation in real-time electricity market
Ma et al. Coordinated control for air handling unit and variable air volume boxes in multi-zone HVAC system
Chen et al. A two-stage control strategy of large-scale residential air conditionings considering comfort sensitivity of differentiated population
CN117091242A (en) Evaluation method, temperature setting method and system for air conditioner temperature control load cluster
CN113078629B (en) Aggregate power distribution model for cluster temperature control load aggregate power regulation and control and distributed consistency control method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant