CN115051374A - Control method and device for electric heating equipment to participate in electric power peak regulation and storage medium - Google Patents
Control method and device for electric heating equipment to participate in electric power peak regulation and storage medium Download PDFInfo
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
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- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
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- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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Abstract
The control method, device and storage medium for the electric heating equipment to participate in electric power peak regulation, which are provided by the disclosure, comprise the following steps: constructing an equipment operation characteristic database; determining demand response target power of electric heating equipment according to current power grid regulation and control demand
Determining the total number N and the total adjustable capacity of the electric heating equipment capable of participating in electric power peak regulation according to the current operation condition of the electric heating equipment, the current outdoor meteorological parameters and the equipment operation characteristic database
According to
And
setting a current operation strategy according to the size relationship, and generating a current peak regulation instruction based on the current operation strategy; and controlling the electric heating equipment to execute the current peak regulation instruction, acquiring current operation time sequence data of all the electric heating equipment, determining the operation characteristics of each electric heating equipment, and storing the operation characteristics into an equipment operation characteristic database. The present disclosure utilizes the thermal inertia of the building itself to enable the electric heating equipment to participate in the power peak shaving, thereby achieving efficient operation of the power system.
Description
Technical Field
The embodiment of the disclosure belongs to the technical field of energy conservation, and particularly relates to a method and a device for controlling electric heating equipment to participate in electric power peak shaving and a storage medium.
Background
With the continuous improvement of the installed capacity of renewable energy sources, the peak load regulation pressure of an electric power system is increased day by day, and the access of the renewable energy sources is limited due to the lack of flexible adjustment resources. In recent years, in order to improve the indoor and outdoor air quality and improve the rural living standard, electric heating equipment is widely used for winter heating in northern rural areas. A large amount of electric heating equipment is dispersedly installed in rural areas, and becomes a precious resource for responding to the peak shaving demand of electric power due to the characteristics that the electric heating equipment can interrupt flexible loads and can respond quickly in real time. The reason is that when the northern part is used for heating in winter, the self thermal inertia energy storage of the building can be utilized, so that the peak load shifting and the valley load shifting are simultaneously carried out on the power grid while the power is used for heating. When renewable power supply is abundant and the power load is low, the electric heating equipment is driven by power; when the renewable power supply is insufficient and the power load reaches a peak period, the electric heating is stopped, and the indoor thermal state is maintained by the thermal inertia of the building itself. The huge thermal inertia of the building is used as a mass energy storage body, so that the problem of mismatching between unstable renewable power and power load requirements is solved.
On one hand, the electric heating equipment is required to be remotely controlled, and more importantly, a peak shaving strategy method for matching the load characteristic of a power grid based on the terminal heating output characteristic is provided to realize the deep participation of the electric heating equipment in the peak shaving of the power system. Most of the existing electric air conditioning equipment regulation and control mechanisms are based on physical model modeling, and centralized regulation and control are performed on equipment in a large area distribution area by taking the economy of a load aggregator as a starting point, so that the operation characteristics of the equipment in a real scene are ignored, and individual accurate regulation and control on each electric heating equipment monomer are difficult to perform, and the comfort degree of a user is reduced. The common electric heating equipment in the north comprises an air source heat pump air heater, an air source heat pump water heater, an electric heater and the like, the actual operating power curve of the electric heating equipment is not a straight line, and the electric heating equipment has direct relation with outdoor weather, building characteristics, user use habits and the like, so that large-scale physical simulation is extremely difficult to realize.
Disclosure of Invention
The present disclosure is directed to solving at least one of the problems of the prior art.
Therefore, the control method for the electric heating equipment to participate in the power peak shaving provided by the embodiment of the first aspect of the disclosure uses the thermal inertia of the building itself to enable the electric heating equipment to participate in the demand response of the power grid, thereby realizing the efficient operation of the power system.
The method for controlling the electric heating equipment to participate in the electric power peak regulation provided by the embodiment of the first aspect of the disclosure comprises the following steps:
constructing an equipment operation characteristic database, wherein the equipment operation characteristic database stores the operation characteristics of the electric heating equipment determined according to the historical operation time sequence data of the electric heating equipment;
at the beginning of the current control period, acquiring the current power grid regulation and control demand, the current operating condition of the electric heating equipment and the current outdoor meteorological parameters, and determining the demand response target power of the electric heating equipment according to the current power grid regulation and control demand
Determining the total number N and the total adjustability of the electric heating equipment capable of participating in electric power peak regulation according to the current operation condition of the electric heating equipment, the current outdoor meteorological parameters and the data stored in the equipment operation characteristic database
Setting a current operation strategy of the electric heating equipment participating in electric power peak regulation: if it is
Setting the current operation strategy to be that the N electric heating devices participate in electric power peak shaving according to the respective adjustability of the N electric heating devices participating in electric power peak shaving; if it is
Setting the current operation strategy to select N electric heating devices in the N electric heating devices to participate in electric power peak shaving according to the respective adjustability of participating in electric power peak shaving; generating a current peak regulation instruction based on the current operation strategy;
and controlling the electric heating equipment to execute the current peak regulation instruction, acquiring current operation time sequence data of all the electric heating equipment, determining the operation characteristics of all the electric heating equipment and the operation conditions of all the electric heating equipment according to the current operation time sequence data, and storing the operation characteristics of all the electric heating equipment into the equipment operation characteristic database for the next control period.
In some embodiments, the electric heating device operating characteristics include start-stop probabilities, power consumption characteristics, and heating characteristics of the electric heating device under different outdoor weather conditions and at different times of the day.
In some embodiments, the operation characteristics of the electric heating equipment are obtained by analyzing historical operation data of the electric heating equipment, and the analysis adopts any one of machine learning, cluster analysis and fitting.
In some embodiments, the operation characteristics of the electric heating equipment include start-stop probabilities, power consumption characteristics, heat supply characteristics, and user peak regulation response indexes of the electric heating equipment under different outdoor weather conditions and at different time intervals in a day, the user peak regulation response indexes are used for reflecting the participation of users in peak regulation, an initial value of the user peak regulation response indexes is 100% and represents that the users are willing to participate in each peak regulation, the user peak regulation response indexes are corrected according to whether the users perform an adjustment operation opposite to a peak regulation instruction in each peak regulation process, and the corrected user peak regulation response indexes are ratios of the total number of times of the adjustment operation opposite to the peak regulation instruction performed by the users to the total number of times of sending the peak regulation instruction.
In some embodiments, the electric heating equipment operation characteristics stored in the equipment operation characteristic database further include any one or more of equipment attribution information, peak shaving history information and an electric heating equipment start-stop duration upper limit.
In some embodiments, the specific steps of selecting n electric heating devices include:
determining the number n of the electric heating equipment participating in electric power peak shaving according to the demand response target power and the total adjustability of the electric heating equipment;
selecting n pieces of electric heating equipment participating in electric power peak shaving based on rules and priority levels thereof, wherein the rules are any one or more of safety rules, user participation priority rules, rules with minimum influence on users and average rules, and the method comprises the following steps of:
the security rule is as follows: aiming at minimizing the influence on the power grid, maximally responding to peak regulation requirements and requiring that the difference of electric heating equipment participating in electric power peak regulation is maximized on the attribution ground;
the user engagement priority rule is as follows: preferentially selecting the electric heating equipment with high peak regulation response index of the user;
the rule with the minimum influence on the user is as follows: acquiring the time-by-time on-off probability of the electric heating equipment according to the historical operation time sequence data of the electric heating equipment, and preferentially selecting the electric heating equipment which is closer to the current regulation and control requirement;
the averaging rule is as follows: and sequencing according to the peak shaving participation time in the peak shaving historical information, and preferentially selecting the electric heating equipment which is farthest away from the peak shaving participation time of the last time.
In some embodiments, the historical operation time sequence data of the electric heating equipment is analyzed to obtain the time-by-time on-off probability of the electric heating equipment, and the analysis adopts any one of machine learning, cluster analysis and fitting.
In some embodiments, the priority of the selected plurality of said rules is determined by a hierarchical sequential method or a weighted method.
The control method for the electric heating equipment to participate in the electric power peak regulation provided by the embodiment of the first aspect of the disclosure has the following characteristics and beneficial effects:
the control method for the electric heating equipment to participate in the electric power peak shaving provided by the embodiment of the first aspect of the disclosure has authenticity based on historical use data, real-time performance for monitoring the operation condition of the electric heating equipment and feedback performance for fully considering the adjustment participation of users, and can ensure the highest priority and the thermal comfort degree of the users while maximizing the peak shaving effect and improving the operation efficiency of an electric power system. The method is characterized in that the actual operation characteristics of the electric heating equipment are identified by a big data analysis method based on actual operation data, a terminal electric heating equipment control method suitable for the load characteristics of a power grid is provided based on the actual operation characteristics, the start and stop of the equipment are controlled at the terminal, and the strategy optimization is carried out according to the user regulation condition fed back in real time. By means of the technical scheme, the intelligent level of the participation of the tail-end electric heating equipment in power peak regulation can be effectively improved, the contradiction between power supply and demand is relieved, and the power generation efficiency of a power grid and the utilization rate of renewable power are improved.
The control device for the electric heating equipment participating in the electric power peak regulation provided by the embodiment of the second aspect of the disclosure comprises:
the system comprises a first module, a second module and a third module, wherein the first module is used for constructing an equipment operation characteristic database, and the equipment operation characteristic database stores the operation characteristics of the electric heating equipment determined according to the historical operation time sequence data of the electric heating equipment;
a second module, configured to obtain a current power grid regulation and control demand, a current operating condition of the electric heating device, and a current outdoor meteorological parameter at a start time of a current control cycle, and determine a demand response target power of the electric heating device according to the current power grid regulation and control demand
Determining the total number N and the total adjustability of the electric heating equipment capable of participating in electric power peak regulation according to the current operation condition of the electric heating equipment, the current outdoor meteorological parameters and the data stored in the equipment operation characteristic database
The third module is used for setting the current operation strategy of the electric heating equipment participating in electric power peak regulation: if it is
Setting the current operation strategy toN electric heating devices participate in electric power peak shaving according to the adjustability of each electric heating device participating in electric power peak shaving; if it is
Setting the current operation strategy to select N electric heating devices in the N electric heating devices to participate in electric power peak shaving according to the respective adjustability of participating in electric power peak shaving; generating a current peak regulation instruction based on the current operation strategy; and
and the fourth module is used for controlling the electric heating equipment to execute the current peak shaving instruction, acquiring current operation time sequence data of all the electric heating equipment, determining the operation characteristics of all the electric heating equipment and the operation conditions of all the electric heating equipment according to the current operation time sequence data, and storing the operation characteristics of all the electric heating equipment into the equipment operation characteristic database for the next control period.
The computer-readable storage medium provided in an embodiment of a third aspect of the present disclosure stores computer instructions for causing the computer to execute the method for controlling participation of electric heating equipment in power peak shaving provided in any embodiment of the first aspect of the present disclosure.
Drawings
Fig. 1 is an overall flow chart of a control method for participating in power peak shaving by electric heating equipment according to an embodiment of the first aspect of the disclosure;
fig. 2 is an architecture diagram of a peak shaving system adopted in the control method provided in embodiment 1 of the present disclosure;
fig. 3 is a specific flow chart of a control method provided in embodiment 1 of the present disclosure;
fig. 4 is an architecture diagram of an electronic device according to an embodiment of the third aspect of the disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
On the contrary, this application is intended to cover any alternatives, modifications, equivalents, and alternatives that may be included within the spirit and scope of the application as defined by the appended claims. Furthermore, in the following detailed description of the present application, certain specific details are set forth in order to provide a better understanding of the present application. It will be apparent to one skilled in the art that the present application may be practiced without these specific details.
In order to solve the problem that the peak shaving pressure of an electric power system is increased increasingly due to lack of flexible resource adjustment in the winter heating period in the north, in an embodiment of a first aspect of the disclosure, electric heating equipment at the tail end of a rural area is taken as a virtual peak shaving power plant for electric peak shaving, a control method for the electric heating equipment to participate in the electric peak shaving is provided, and referring to fig. 1, the control method comprises the following steps:
constructing an equipment operation characteristic database, wherein the equipment operation characteristic database stores the operation characteristics of the electric heating equipment determined according to the historical operation time sequence data of the electric heating equipment;
at the beginning of the current control period, the current power grid regulation and control requirement, the current operating condition of the electric heating equipment and the current outdoor meteorological parameters are obtained, and the demand response target power of the electric heating equipment is determined according to the current power grid regulation and control requirement
Determining the total number N and the total adjustability of the electric heating equipment capable of participating in electric power peak regulation according to the current operation condition of the electric heating equipment, the current outdoor meteorological parameters and the data stored in the equipment operation characteristic database
Setting a current operation strategy of the electric heating equipment participating in electric power peak regulation: if it is
Setting the current operation strategy of the electric heating equipment participating in the electric power peak shaving as N electric heating equipment participate in the electric power peak shaving according to the adjustability of the electric heating equipment participating in the electric power peak shaving; if it is
Setting the current operation strategy of the electric heating equipment participating in the electric power peak shaving as N electric heating equipment in the selected N electric heating equipment participate in the electric power peak shaving according to the respective adjustability participating in the electric power peak shaving; generating a current peak regulation instruction based on a set current operation strategy of the electric heating equipment participating in the electric power peak regulation;
and controlling the electric heating equipment to execute the current peak regulation instruction, acquiring current operation time sequence data of all the electric heating equipment, determining the operation characteristics of all the electric heating equipment and the operation conditions of all the electric heating equipment according to the current operation time sequence data, and storing the operation characteristics of all the electric heating equipment into an equipment operation characteristic database for the next control period.
In some embodiments, the operation characteristics of the electric heating devices stored in the device operation characteristic database include, but are not limited to, start-stop probabilities, power consumption characteristics, and heat supply characteristics of the electric heating devices under different outdoor weather conditions and at different time periods of the day, and the operation characteristics of the electric heating devices may be obtained by performing machine learning, cluster analysis, or fitting on historical operation data of the electric heating devices. The operation characteristics of the electric heating equipment obtained by the method are from real operation data and can be closer to the actual operation condition, the operation characteristics under the actual scene obtained based on the operation characteristics can better guide the formulation of the regulation and control strategy, the defects of insufficient representativeness and the like caused by physical model simulation can be avoided, and the method has higher accuracy.
In some embodiments, the electric heating equipment operation characteristics stored in the equipment operation characteristic database further include a user peak regulation response index, the user peak regulation response index is used for reflecting the participation degree of the user in peak regulation, and the user peak regulation response index is the ratio of the total times of the user performing the on-off regulation operation opposite to the peak regulation instruction to the total times of sending the peak regulation instruction. The initial value of the user peak regulation response index is 100%, which indicates that the user is willing to participate in each peak regulation, and the user peak regulation response index is corrected by whether the user performs the startup and shutdown adjustment operation opposite to the peak regulation instruction in each peak regulation process, for example, after the first peak regulation instruction is issued and the equipment executes the instruction shutdown, the user does not perform the startup operation opposite to the peak regulation instruction, and the user peak regulation response index is still 100%; and after the peak shaving instruction is sent for the second time and the equipment executes the instruction to shut down, the user carries out the startup operation opposite to the peak shaving instruction, and the peak shaving response index of the user is corrected to 50 percent at the moment. Since the tail end is a dispersed user, not a large-scale air conditioning system, whether the personalized preference and the adjustment participation of the user directly influence the heating satisfaction of the user is considered, and the method is an important factor which cannot be ignored in the regulation and control strategy formulation. By adopting the user peak regulation response index, the participation degree of the user in peak regulation is taken into consideration whether the electric heating equipment is regulated or not, and the discontent caused by repeated regulation on the user unwilling to participate in peak regulation can be avoided.
In some embodiments, the electric heating equipment operation characteristics stored in the equipment operation characteristic database further include equipment attribution information, so as to determine the corresponding location information of villages, towns and the like of the electric heating equipment.
In some embodiments, the electrical heating equipment operation characteristics stored in the equipment operation characteristic database further include peak shaving history information, i.e., information about the time when the electrical heating equipment previously participated in peak shaving each time.
In some embodiments, the operation characteristics of the electric heating equipment stored in the equipment operation characteristic database further include an upper limit of start-stop duration of the electric heating equipment, and the upper limits of the start-stop duration of the equipment under different outdoor weather conditions and at different periods are obtained according to the room temperature response change rule and the indoor temperature change range at different periods. For example, the speed of decrease of the room temperature after shutdown is obtained by machine learning and other methods, and the upper limit of the shutdown duration of the electric heating equipment can be obtained according to the current average value of the room temperature and the set lower limit of the room temperature, so that the situation that the thermal comfort of a user is influenced by the overlong time for closing the electric heating equipment, such as overlong indoor temperature, is avoided.
In some embodiments, the method for determining the adjustability of the electric heating equipment in participating in power peak shaving according to the current operating condition of the electric heating equipment, the current outdoor meteorological parameters and the data stored in the equipment operating characteristic database specifically comprises the following steps:
determining the total number N of the electric heating equipment which can participate in electric power peak shaving according to the current operation condition of the electric heating equipment, wherein for peak shaving, N is equal to the total number of the electric heating equipment which is in current starting operation and normal communication; for filling, N is equal to the total number of the electric heating equipment which is powered off and normally communicated;
calculating the total adjustability provided by the electric heating equipment capable of participating in peak shaving according to the power consumption characteristics p of the electric heating equipment in the equipment operation characteristic database corresponding to the current outdoor meteorological parameters
The power consumption characteristic p of the electric heating equipment adopted in the embodiment is obtained through historical operation data of the electric heating equipment, the actual operation state is closer, and the calculation result has higher accuracy.
In some embodiments, the specific steps of selecting n electric heating devices are as follows:
determining the number n of the electric heating equipment participating in electric power peak shaving according to the demand response target power of the electric heating equipment and the total adjustability of the electric heating equipment participating in electric power peak shaving;
selecting n electric heating equipment participating in power peak shaving based on rules and priority levels thereof, wherein the rules are any one or more of safety rules, user participation priority rules, rules with minimum influence on users and averaging rules, and the following four rules are explained in detail:
security rules: when the electric heating equipment is started and stopped in a centralized manner, the electric load of a district can be increased or reduced in a short time, and in order to avoid the large fluctuation of the instantaneous load of a regional power grid caused by the controlled electric heating equipment, the minimum influence on the power grid is taken as a target, the peak regulation demand is responded to the maximum, and the difference of the electric heating equipment participating in the electric peak regulation is required to be maximized on the attribution ground as much as possible;
user engagement priority rules: according to the regulation behavior of the user in the power peak regulation process, calculating the peak regulation response index of the user, preferentially selecting the electric heating equipment with high peak regulation response index of the user, and defining the peak regulation response index of the specific user as the content;
rule with minimal impact on the user: according to the historical operation time sequence data of the electric heating equipment, the time-by-time on-off probability of each electric heating equipment is obtained through methods such as machine learning, cluster analysis or fitting, and the like, and the electric heating equipment with the on-off probability closer to the current regulation and control requirement (namely, the operation power of the electric heating equipment is reduced or increased) is preferentially selected for regulation; for example, for peak clipping, the current regulation and control requirement is shutdown, and the electric heating equipment with the minimum current startup probability is used as the electric heating equipment closest to the current regulation and control requirement; for the valley filling, the current regulation and control requirement is starting, and the electric heating equipment with the minimum current shutdown probability is used as the electric heating equipment closest to the current regulation and control requirement;
the average rule is as follows: in order to avoid the situation that some electric heating equipment participates in peak shaving for many times, and other electric heating equipment rarely participates in peak shaving, the electric heating equipment which is farthest away from the last participating peak shaving moment is preferentially selected to be adjusted according to the sequencing of the preorder peak shaving participation moments (namely the time length from the current moment to the last participating peak shaving moment) in the peak shaving historical information so as to ensure the averaging of the participation peak shaving of all the electric heating equipment;
after the rules are selected, the priority level of each rule can be determined by adopting a method of hierarchy or weighting and the like. The minimum regulation and control unit can be each electric heating equipment, also can be many electric heating equipment as a set of for the power consumption characteristic of electric heating equipment can help the peak clipping of electric wire netting to fill in the valley.
In some embodiments, one or more rules may be selected according to actual needs and the priority level of each rule may be determined. For example, two rules of user participation priority and minimum influence on the users are selected by adopting a hierarchical priority level method to set the current operation strategy, firstly, electric heating equipment participating in power peak regulation is selected according to the user participation priority rule, namely the user peak regulation response index, from large to small, and the electric heating equipment participating in the power peak regulation is selected from large to small. For another example, the priority levels of the selected rules are determined by a weighting method, the sum of the weight values of the selected rules is 1, the higher the priority level is, the higher the weight value is given to the rule, and conversely, the lower the priority level is, the lower the weight value is given to the rule. Based on the four rules provided by the embodiment, the user can make the peak-shaving operation strategy according to specific application scenes and requirements, and the method has the advantages of individuation, flexible selection and greater universality.
In some embodiments, the generated current peak shaving instruction includes a power on/off command of the electric heating equipment, a peak shaving timing operation duration (i.e., a duration of timing power on or power off during peak shaving of parameters of the electric heating equipment), and a set temperature. It should be noted that, in order to ensure the heating requirement of the user, the user shares the highest regulation and control level with the operation state of the electric heating device, that is, after the current peak regulation instruction is issued and/or the electric heating device operates according to the current peak regulation instruction, the user can regulate the operation state of the electric heating device.
The following describes a specific embodiment of the control method for participating in power peak shaving of the electric heating equipment provided by the present disclosure, and the present embodiment is applied to the electric heating equipment installed in different rooms in rural areas in the north.
This embodiment is implemented by a peak shaving control system shown in fig. 2, which includes a management layer, a communication layer and a device layer, where:
the management layer comprises a data acquisition and management platform, wherein an equipment operation characteristic database is constructed in the data acquisition and management platform, and the data acquisition and management platform is used for acquiring outdoor meteorological parameters and power grid dispatching data and storing operation characteristics of the electric heating equipment so as to manage the operation and safety and data exchange of each device in the whole peak regulation control system;
the communication layer comprises a plurality of communication modules connected with the management layer through a communication network and is used for uploading data acquired by the equipment layer to the management layer and sending a regulation and control instruction generated by the management layer to the equipment layer, and each communication module can be responsible for data transmission of a plurality of pieces of electric heating equipment and also can be responsible for data transmission of a single piece of electric heating equipment;
the equipment layer comprises electric heating equipment and an intelligent terminal connected with the electric heating equipment, the intelligent terminal is used for collecting, storing and uploading operation data of the electric heating equipment to the communication layer, and the electric heating equipment executes a regulation and control instruction issued by the communication layer.
In this embodiment, the electric heating device is an air source heat pump air heater (hereinafter referred to as "air heater"), the communication module is a concentrator, and there are 10 concentrators, each air heater is connected to the management platform through the concentrator, each air heater device can acquire data through the concentrator and transmit the data to the management platform, and the management platform issues a control instruction to control one or more air heaters. Each concentrator respectively controls 100 air heaters, and each concentrator corresponds to the information of the corresponding place. Each concentrator is in data connection with the management platform and the air heater in a wired or wireless mode and the like, so that the functions of uploading operation data and issuing regulation and control instructions are executed.
Each air heater can receive and execute the peak regulation instruction issued by the concentrator, and meanwhile, the end user (namely the air heater user) has the highest regulation and control level, namely after the regulation and control instruction is issued and the air heaters operate according to the regulation and control instruction, the end user can regulate the air heaters.
Referring to fig. 3, the method for controlling the electric heating device to participate in the peak shaving of the electric power provided by the embodiment specifically includes the following steps:
1. according to the historical operation time sequence data of the hot air blower collected by the peak regulation control system, the characteristic recognition is carried out by using a machine learning method, the operation characteristic parameters under the natural opening state are obtained and stored in a database, wherein the method comprises the following steps: a. the equipment number of each hot air blower and the number of the concentrator to which the hot air blower belongs can correspond to the zone location information of villages, towns and the like to which the hot air blower belongs according to the numbers; b. the operation characteristics of the electric heating equipment comprise an all-day start-stop probability curve, power consumption characteristics and heat supply characteristics under different outdoor meteorological conditions; c. a user peak shaver response index; d. peak shaving history information; e. setting the indoor temperature to be 14-28 ℃, and calculating the upper limit of the start-stop duration of the equipment under different time periods and outdoor temperature conditions according to historical operating data;
2. at the beginning of the current control period, the day-ahead load dispatching requirement of the power grid is received, and therefore the requirement response target power of the air heater is determined
In the embodiment, the electric power of the air heater needs to be reduced to realize peak clipping; acquiring current operation conditions (including current on-off conditions, set temperature conditions and the like of all air heaters) and current outdoor meteorological parameters of air heater equipment, and determining the total number N and total adjustability of the air heaters capable of participating in power peak regulation by combining information such as power consumption characteristics of the air heaters, user peak regulation response indexes and the like stored in an equipment operation characteristic database
And the upper limit of the shutdown time of the hot air blower at the current moment.
3. Total adjustability of hot air blower in this embodiment
Greater than the demand response target power of the air heater
Therefore, the current operation strategy for the air heaters to participate in the power peak shaving is to select N air heaters of the N air heaters to participate in the power peak shaving according to the respective adjustability of the N air heaters to participate in the power peak shaving, namely the N air heaters perform the shutdown operation, and the specific steps are as follows:
in the embodiment, the two rules are executed by adopting a user participation priority rule and a rule with the minimum influence on the user and a hierarchical sequence method, and n air blowers participating in power peak shaving are selected. The method comprises the following specific steps: sequencing user peak regulation response indexes of N air heaters from large to small to obtain a primary sequence, wherein the air heaters with the same user peak regulation response indexes are integrated on the basis of the primary sequence in the shutdown probability of the air heaters with the same user peak regulation response indexes in the upper limit time period of the shutdown time at the current moment, the air heaters with the same user peak regulation response indexes in the primary sequence are sequenced from large to small according to an integral value to obtain a secondary sequence, and the N air heaters are selected from large to small in the secondary sequence to serve as the air heaters participating in electric power peak regulation;
and generating a current peak regulation instruction based on the set current operation strategy that the electric heating equipment participates in the electric power peak regulation.
4. The peak shaving platform sends a current regulation and control instruction to the hot air blower through the concentrator, and the hot air blower executes the current regulation and control instruction to perform shutdown operation; meanwhile, a user operates the air heater according to self requirements, the peak regulation platform obtains the actual operation condition of the air heater after a peak regulation instruction is issued through the current operation time sequence data of the air heater, and the operation characteristics in the equipment operation characteristic database are updated according to the real-time feedback state of the tail end.
The control device for the electric heating equipment participating in the electric power peak regulation provided by the embodiment of the second aspect of the disclosure comprises:
the system comprises a first module, a second module and a third module, wherein the first module is used for constructing an equipment operation characteristic database, and the equipment operation characteristic database stores the operation characteristics of the electric heating equipment determined according to the historical operation time sequence data of the electric heating equipment;
a second module for obtaining the current power grid regulation and control demand, the current operation state of the electric heating equipment and the current outdoor meteorological parameters at the beginning moment of the current control period, and determining the demand response target power of the electric heating equipment according to the current power grid regulation and control demand
Determining the total number N and the total adjustability of the electric heating equipment capable of participating in electric power peak regulation according to the current operation condition of the electric heating equipment, the current outdoor meteorological parameters and the data stored in the equipment operation characteristic database
The third module is used for setting the current operation strategy of the electric heating equipment participating in electric power peak regulation: if it is
The current operation strategy of the electric heating equipment participating in the power peak regulation is set asN electric heating devices participate in electric power peak shaving according to the adjustability of each electric heating device participating in electric power peak shaving; if it is
Setting the current operation strategy of the electric heating equipment participating in the electric power peak shaving as N electric heating equipment in the selected N electric heating equipment participate in the electric power peak shaving according to the respective adjustability participating in the electric power peak shaving; generating a current peak regulation instruction based on a set current operation strategy of the electric heating equipment participating in the electric power peak regulation; and
and the fourth module is used for controlling the electric heating equipment to execute the current peak shaving instruction, acquiring current operation time sequence data of all the electric heating equipment, determining the operation characteristics of all the electric heating equipment and the operation conditions of all the electric heating equipment according to the current operation time sequence data, and storing the operation characteristics of all the electric heating equipment into the equipment operation characteristic database for the next control period.
In order to implement the foregoing embodiments, the present disclosure further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to execute the method for controlling participation of an electric heating device in power peak shaving of the foregoing embodiments.
Referring now to FIG. 4, shown is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure. It should be noted that the electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, servers, and the like. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, the electronic device may include a processing apparatus (e.g., a central processing unit, a graphic processor, etc.) 101, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)102 or a program loaded from a storage apparatus 108 into a Random Access Memory (RAM) 103. In the RAM103, various programs and data necessary for the operation of the electronic apparatus 100 are also stored. The processing device 101, the ROM102, and the RAM103 are connected to each other via a bus 104. An input/output (I/O) interface 105 is also connected to bus 104.
Generally, the following devices may be connected to the I/O interface 105: input devices 106 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, etc.; an output device 107 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 108 including, for example, magnetic tape, hard disk, etc.; and a communication device 109. The communication means 109 may allow the electronic device 100 to communicate with other devices wirelessly or by wire to exchange data. While fig. 4 illustrates the electronic device 100 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, the present embodiments include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication means 109, or installed from the storage means 108, or installed from the ROM 102. The computer program, when executed by the processing device 101, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: constructing an equipment operation characteristic database, wherein the equipment operation characteristic database stores the operation characteristics of the electric heating equipment determined according to the historical operation time sequence data of the electric heating equipment; at the beginning of the current control period, the current power grid regulation and control requirement, the current operating condition of the electric heating equipment and the current outdoor meteorological parameters are obtained, and the demand response target power of the electric heating equipment is determined according to the current power grid regulation and control requirement
According to the current operating condition of the electric heating equipment, the current outdoor meteorological parameters and the equipmentDetermining the total number N and the total adjustability of the electric heating equipment capable of participating in the electric power peak regulation according to the data stored in the operation characteristic database
Setting a current operation strategy of the electric heating equipment participating in electric power peak regulation: if it is
Setting the current operation strategy of the electric heating equipment participating in the electric power peak shaving as N electric heating equipment participate in the electric power peak shaving according to the adjustability of the electric heating equipment participating in the electric power peak shaving; if it is
Setting the current operation strategy of the electric heating equipment participating in the electric power peak shaving as N electric heating equipment in the selected N electric heating equipment participate in the electric power peak shaving according to the respective adjustability participating in the electric power peak shaving; generating a current peak regulation instruction based on a set current operation strategy of the electric heating equipment participating in the electric power peak regulation; and controlling the electric heating equipment to execute the current peak regulation instruction, acquiring current operation time sequence data of all the electric heating equipment, determining the operation characteristics of all the electric heating equipment and the operation conditions of all the electric heating equipment according to the current operation time sequence data, and storing the operation characteristics of all the electric heating equipment into an equipment operation characteristic database for the next control period.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, python, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following technologies, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by a program instructing associated hardware to complete, and the developed program may be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A control method for electric heating equipment participating in electric power peak shaving is characterized by comprising the following steps:
constructing an equipment operation characteristic database, wherein the equipment operation characteristic database stores the operation characteristics of the electric heating equipment determined according to the historical operation time sequence data of the electric heating equipment;
at the beginning of the current control period, acquiring the current power grid regulation and control demand, the current operating condition of the electric heating equipment and the current outdoor meteorological parameters, and determining the demand response target power of the electric heating equipment according to the current power grid regulation and control demand
Determining the total number N and the total adjustability of the electric heating equipment capable of participating in electric power peak regulation according to the current operation condition of the electric heating equipment, the current outdoor meteorological parameters and the data stored in the equipment operation characteristic database
Setting a current operation strategy of the electric heating equipment participating in electric power peak regulation: if it is
Setting the current operation strategy to be that the N electric heating devices participate in electric power peak shaving according to the respective adjustability of the N electric heating devices participating in electric power peak shaving; if it is
Setting the current operation strategy to select N electric heating devices in the N electric heating devices to participate in electric power peak shaving according to the respective adjustability of participating in electric power peak shaving; generating a current peak regulation instruction based on the current operation strategy;
and controlling the electric heating equipment to execute the current peak regulation instruction, acquiring current operation time sequence data of all the electric heating equipment, determining the operation characteristics of all the electric heating equipment and the operation conditions of all the electric heating equipment according to the current operation time sequence data, and storing the operation characteristics of all the electric heating equipment into the equipment operation characteristic database for the next control period.
2. The control method according to claim 1, wherein the operation characteristics of the electric heating equipment comprise start-stop probability, power consumption characteristics and heat supply characteristics of the electric heating equipment under different outdoor meteorological conditions and at different time periods in a day.
3. The control method according to claim 21, wherein the operation characteristics of the electric heating equipment are obtained by analyzing historical operation data of the electric heating equipment, and the analysis adopts any one of machine learning, cluster analysis and fitting.
4. The control method according to claim 1, wherein the operation characteristics of the electric heating equipment include start-stop probabilities, power consumption characteristics, heat supply characteristics of the electric heating equipment under different outdoor weather conditions and at different time intervals in a day, and a user peak shaving response index, the user peak shaving response index is used for reflecting the participation degree of a user in peak shaving, an initial value of the user peak shaving response index is 100%, which indicates that the user is willing to participate in each peak shaving, the user peak shaving response index is corrected by whether the user performs an adjustment operation opposite to a peak shaving instruction in each peak shaving process, and the corrected user peak shaving response index is a ratio of the total number of times that the user performs the adjustment operation opposite to the peak shaving instruction to the total number of times that the peak shaving instruction is sent.
5. The control method according to claim 4, wherein the operation characteristics of the electric heating equipment stored in the equipment operation characteristic database further include any one or more of equipment attribution information, peak shaving history information and an upper limit of the start-stop duration of the electric heating equipment.
6. The control method according to claim 5, wherein the specific step of selecting n electric heating devices comprises:
determining the number n of the electric heating equipment participating in electric power peak shaving according to the demand response target power and the total adjustability of the electric heating equipment;
selecting n pieces of electric heating equipment participating in electric power peak shaving based on rules and priority levels thereof, wherein the rules are any one or more of safety rules, user participation priority rules, rules with minimum influence on users and average rules, and the method comprises the following steps of:
the security rule is as follows: aiming at minimizing the influence on the power grid, maximally responding to peak regulation requirements and requiring that the difference of electric heating equipment participating in electric power peak regulation is maximized on the attribution ground;
the user engagement priority rule is as follows: preferentially selecting the electric heating equipment with high peak regulation response index of the user;
the rule with the minimum influence on the user is as follows: acquiring the time-by-time on-off probability of the electric heating equipment according to the historical operation time sequence data of the electric heating equipment, and preferentially selecting the electric heating equipment which is closer to the current regulation and control requirement;
the average rule is as follows: and sequencing according to the peak shaving participation time in the peak shaving historical information, and preferentially selecting the electric heating equipment which is farthest away from the peak shaving participation time of the last time.
7. The control method according to claim 6, wherein historical operation time sequence data of the electric heating equipment is analyzed to obtain the time-by-time on-off probability of the electric heating equipment, and the analysis adopts any one of machine learning, cluster analysis and fitting.
8. The control method according to claim 6, wherein the priority levels of the selected plurality of items of the rules are determined by a hierarchical sequence method or a weight method.
9. A control device for electric heating equipment participating in electric power peak shaving is characterized by comprising:
the system comprises a first module, a second module and a third module, wherein the first module is used for constructing an equipment operation characteristic database, and the equipment operation characteristic database stores the operation characteristics of the electric heating equipment determined according to the historical operation time sequence data of the electric heating equipment;
a second module, configured to obtain a current power grid regulation and control demand, a current operating condition of the electric heating device, and a current outdoor meteorological parameter at a start time of a current control cycle, and determine a demand response target power of the electric heating device according to the current power grid regulation and control demand
Determining the total number N and the total adjustability of the electric heating equipment capable of participating in electric power peak regulation according to the current operation condition of the electric heating equipment, the current outdoor meteorological parameters and the data stored in the equipment operation characteristic database
A third module for setting electricityThe heating equipment participates in the current operation strategy of electric power peak regulation: if it is
Setting the current operation strategy to be that the N electric heating devices participate in electric power peak shaving according to the respective adjustability of the N electric heating devices participating in electric power peak shaving; if it is
Setting the current operation strategy to select N electric heating devices in the N electric heating devices to participate in electric power peak shaving according to the respective adjustability of participating in electric power peak shaving; generating a current peak regulation instruction based on the current operation strategy; and
and the fourth module is used for controlling the electric heating equipment to execute the current peak shaving instruction, acquiring current operation time sequence data of all the electric heating equipment, determining the operation characteristics of all the electric heating equipment and the operation conditions of all the electric heating equipment according to the current operation time sequence data, and storing the operation characteristics of all the electric heating equipment into the equipment operation characteristic database for the next control period.
10. A computer readable storage medium storing computer instructions for causing a computer to perform the method of controlling the participation of an electric heating apparatus in power peaking according to any one of claims 1 to 8.
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