CN115034559A - Load adjustment method and device, electronic equipment and storage medium - Google Patents

Load adjustment method and device, electronic equipment and storage medium Download PDF

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CN115034559A
CN115034559A CN202210493173.6A CN202210493173A CN115034559A CN 115034559 A CN115034559 A CN 115034559A CN 202210493173 A CN202210493173 A CN 202210493173A CN 115034559 A CN115034559 A CN 115034559A
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participant
load
data
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power
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汪勇
满翊
程相杰
范佳卿
匡也
陈绍琮
叶晶
张强
方超
林润达
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Shanghai Power Equipment Research Institute Co Ltd
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    • GPHYSICS
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving

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Abstract

The embodiment of the application discloses a load adjustment method and device, electronic equipment and a storage medium. Acquiring response authorization associated data of a participant of demand response; determining a transaction work order of the participant according to the response authorization associated data and the participant type of the participant; and adjusting the power load of the participants according to the trade work order. According to the technical scheme of the embodiment of the application, the transaction work orders of all the participants are determined aiming at different types of the participants, and special transaction work orders can be generated for the participants according to the conditions of the participants so as to adapt to the participation demand response of the participants, so that the flexibility of determining the transaction work orders is improved, and a basis for adjusting the load is provided for a power supply party and/or an electricity selling party; in addition, the power load of each participant is adjusted according to each trading worksheet, so that the power supply party and/or the power selling party can accurately control the power load of each participant.

Description

Load adjustment method and device, electronic equipment and storage medium
Technical Field
The embodiment of the application relates to the technical field of power grid regulation and control, in particular to a load adjustment method and device, electronic equipment and a storage medium.
Background
With the development of new energy power generation technology, more and more new energy power generators will be applied to power systems and power supply networks. However, since the new energy is greatly influenced by natural factors, the difficulty of power supply guarantee of the new energy power system is increased, and therefore, the demand response technology will gradually replace the traditional load management and control technology, which is called as the mainstream of load regulation on the power demand side.
In the current power demand response strategy, communication between supply and demand parties and control of power loads are performed manually, and the power loads cannot be adjusted accurately according to the response condition of a demand party.
Disclosure of Invention
The embodiment of the application provides a load adjusting method and device, electronic equipment and a storage medium, so that the power load of a participant can be adjusted according to a demand response condition.
In a first aspect, an embodiment of the present application provides a load adjustment method, including:
acquiring response authorization associated data of a participant of demand response;
determining a transaction work order of the participant according to the response authorization associated data and the participant type of the participant;
and adjusting the power load of the participant according to the trade work order.
In a second aspect, an embodiment of the present application further provides a load adjusting apparatus, including:
the authorization data acquisition module is used for acquiring response authorization associated data of a participant who needs to respond;
the transaction work order determining module is used for determining the transaction work order of the participant according to the response authorization association data and the participant type of the participant;
and the power load adjusting module is used for adjusting the power load of the participant according to the transaction work order.
In a third aspect, an embodiment of the present application further provides an electronic device, including:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement the load adjustment method provided in the embodiment of the first aspect of the present application.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the load adjustment method provided in the embodiment of the first aspect of the present application.
According to the technical scheme of the embodiment of the application, the transaction work orders of all the participants are determined aiming at different types of the participants, and special transaction work orders can be generated for the participants according to the conditions of the participants so as to adapt to the participation demand response of the participants, so that the flexibility of determining the transaction work orders is improved, and a basis for adjusting the load is provided for a power supply party and/or a power selling party; in addition, the power load of each participant is adjusted according to each trading worksheet, so that the power supply party and/or the power selling party can accurately control the power load of each participant.
Drawings
Fig. 1 is a flowchart of a load adjustment method according to an embodiment of the present application;
fig. 2 is a flowchart of a load adjustment method according to a second embodiment of the present application;
fig. 3 is a flowchart of a load adjustment method according to a third embodiment of the present application;
fig. 4 is a schematic diagram of a power demand response remote monitoring visualization system provided in the fourth embodiment of the present application;
fig. 5 is a structural diagram of a load adjustment device according to a fifth embodiment of the present application;
fig. 6 is a block diagram of an electronic device according to a sixth embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some of the structures related to the present application are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a load adjustment method according to an embodiment of the present application. The method can be executed by a load adjusting device, which can be implemented by software and/or hardware and is specifically configured in an electronic device.
Referring to the load adjustment method shown in fig. 1, the method specifically includes the following steps:
and S110, acquiring response authorization associated data of the participants of the demand response.
The Demand Response (DR) is an electric power Demand Response, which is an abbreviation of power Demand Response, and is used for changing an inherent electricity usage pattern of a power consumer after the power consumer receives a direct compensation notification of an inductive reduction load or an electric power price increase signal sent by a power supplier when the price of a wholesale market of electric power increases or the reliability of a system is threatened, so that the electricity usage load in a certain period is reduced or shifted to respond to power supply, thereby ensuring the stability of a power grid and inhibiting a short-term behavior of electricity price increase. The participant in the demand response may be at least one of a family, organization, and organization, etc. participating in the demand response. The response authorization associated data may be data associated with the demand response that the participant authorizes and submits to the power provider and/or the power seller, and may include, for example and without limitation, an adjustable capacity that may participate in the demand response, a time period that may participate in the demand response, and the like.
For example, the power supplier and/or the power seller may obtain the data associated with the authorization of the response of the participant in a form of data on a line. For example, the participant may send the adjustable capacity capable of participating in the demand response and the time capable of participating in the demand response adjustment to the power supplier and/or the electricity seller through a preset application program, and the power supplier and/or the electricity seller may obtain information such as the adjustable capacity or the time capable of participating in the adjustment provided by the participant through a background.
And S120, determining the transaction work order of the participant according to the response authorization associated data and the participant type of the participant.
It can be understood that, in the actual electricity utilization situation, the electricity utilization modes, the electricity consumption amounts, the highest energy consumption time periods and the like of different families, units, organizations and organizations are different, so that the participants should be classified according to specific situations, and the transaction work orders of different types of participants are further determined. The trade work order may be an electronic document or catalog for counting the electricity usage indicators planned by the participants when participating in the demand response, and may include, but is not limited to, estimated plan adjustment load, plan adjustment time period, adjustment type (filling/clipping), declared price, estimated response profit, and the like.
And S130, adjusting the power load of the participant according to the transaction work order.
Because the information in the trade work order is the planned electricity utilization index when the participant participates in the demand response, the participant should utilize electricity according to the planned electricity utilization index in the actual participation demand response process. However, in an actual situation, it is easy to happen that the participant cannot control the electricity well, so that the actual electricity utilization situation cannot meet the planned electricity utilization index in the trade work order, and at this time, the power supplier and/or the electricity seller can adjust the electricity utilization load of the participant according to the trade work order.
For example, assume that the electricity usage indicators for the demand response program in the current participant's business order are: the adjustment type is valley filling, the scheduled adjustment load is 100kw, and the scheduled adjustment time period is 10 am to 12 am. When the power supply party and/or the power selling party detect that the power load consumed by the current participant for filling the valley is 80kw at 11 am, that is, 100kw of electricity should be consumed for filling the valley within two hours, but the current participant consumes 80kw within 1 hour, if the current participant continues to fill the valley according to the power consumption behavior of the current participant, the current participant exceeds the planned power consumption index in the trade work order, the power grid is affected, and the current participant may be subjected to fine payment. To prevent the above negative situation, the power supplier and/or the power seller may adjust the load usage of the current participant according to the planned power utilization index in the trade work order, for example, the power utilization load of the current participant may be reduced, so that the planned power utilization index of the remaining 20kw is completed within the remaining one hour. The present embodiment is only illustrated in the case of valley filling in the demand response, and is not to be construed as a limitation to the technical solution of the present application.
In an alternative embodiment, the adjusting the power load of the participant according to the trade order may include: acquiring plan adjustment data in a transaction work order; determining whether the power load of the participant meets a preset adjustment threshold value according to the plan adjustment data; if not, adjusting the power load of the participant according to a preset adjustment threshold value.
The plan adjustment data may be data for adjusting the electrical load in the trade work order. The preset adjustment threshold may be a power load interval that allows the participant to participate in the demand response. It can be understood that the participator cannot accurately control the power load when performing the demand response and cannot accurately reach the power load set by the plan adjustment data, so that an interval of the power load is preset, and the power consumption of the participator in the process of participating in the demand response meets the preset adjustment threshold, that is, the participator can normally perform the demand response; if the electricity consumption of the participator in the process of participating in the demand response is beyond the preset adjustment threshold, the power supply side and/or the electricity selling side are/is required to adjust the electricity load of the participator in an online or offline manner so as to meet the planned adjustment amount in the trade work order.
In an optional implementation, the determining whether the power load of the participant meets a preset adjustment threshold according to the schedule adjustment data may include: acquiring real-time power load data of a participant; and determining whether the power load of the participant accords with a preset adjustment threshold value according to the real-time power load data and the plan adjustment data.
The real-time power utilization load data can be the real-time power utilization condition of the participant in the demand response process. The preset adjustment threshold may be set according to the scheduled adjustment data, for example, 80% to 120% of the scheduled adjustment data is set as the preset adjustment threshold. In practice, however, the type of adjustment for different demand responses will have different limits for the preset adjustment threshold that is adopted. Taking the valley filling as an example, assuming that the scheduled adjustment data is 100kw of electricity consumption, the participant should control the consumed electricity load to be above 100kw and preferably within 120% in the demand response stage, i.e. increase 120kw of electricity at most. If the electricity consumption of the participator exceeds 120kw in the response process, subsidizing is only carried out according to the electricity consumption of 120kw when the income is settled, and the electricity fee of the participator is charged according to the normal price if the electricity consumption of 120kw exceeds. Further, taking peak clipping as an example, assuming that the scheduled adjustment data is to reduce the consumption of 100kw of electricity, the participator should control to reduce the consumption of electricity load to be less than 100kw, and preferably to be more than 80% in the demand response stage, i.e. to reduce the consumption of electricity by at least 80 kw. If the participator reduces the power consumption by 80kw in the response process, the participator can cause the problems of fine and the like.
In the embodiment, whether the power load of the participant is preset with the adjustment threshold value through judgment and then the power load of the participant is adjusted, the advantage of the method is that certain power utilization redundancy can be given to the participant, the use of the preset adjustment threshold value can enable the participant to control the power consumption of the participant in a certain degree, the control difficulty of the participant on the power load in the participation demand response process is reduced, a certain buffer amount is provided for the power supply party and/or the power selling party when the power load of the participant is adjusted, and the stability of a power grid in the demand response process is improved.
According to the technical scheme of the embodiment of the application, the transaction work orders of all the participants are determined aiming at different types of the participants, and special transaction work orders can be generated for the participants according to the conditions of the participants so as to adapt to the participation demand response of the participants, so that the flexibility of determining the transaction work orders is improved, and a basis for adjusting the load is provided for a power supply party and/or a power selling party; in addition, the power load of each participant is adjusted according to each trading worksheet, so that the power supply party and/or the power selling party can accurately control the power load of each participant.
Example two
Fig. 2 is a flowchart of a load adjustment method according to a second embodiment of the present application. The embodiment of the application refines the determination operation of determining the transaction work order of the reporting party on the basis of the technical scheme of the embodiment so as to adjust the power load of the reporting party according to the demand response condition.
Referring to the load adjustment method shown in fig. 2, the method specifically includes the following steps:
s210, acquiring response authorization associated data of a participant of demand response; the participant type includes a declared participant and, accordingly, the response authorization association data includes first authorization data.
The reporting party can be a demand response party which autonomously reports response authorization associated data to the power supply party and/or the power selling party by an online method, for example, a family or an individual can be used as the reporting party; the first authorization data may be response authorization association data reporting the participant, which may include, but is not limited to, authentication information agreeing to participate in the demand response, a time period reporting participation in the demand response, and self-reported adjustable load capacity.
And S220, determining a transaction work order of the declaration participant according to the first authorization data and the load prediction curve of the declaration participant.
The load prediction curve of the declared participant may be a prediction curve of the declared participant's electrical load. Optionally, a load prediction curve of the reporting party can be determined according to the historical power load condition. The historical power consumption load condition can be the historical power consumption condition of the reporting party before participating in demand response, the load prediction curve is generated by fitting through a preset algorithm according to the historical power consumption load condition, the preset algorithm can adopt any curve prediction algorithm in the prior art, for example, a pre-trained neural network model can be adopted, the historical power consumption load is used as input, and the model outputs at least one available load prediction curve.
Specifically, according to the obtained first authorization data of the declaration participant and the load prediction curve of the declaration participant, plan adjustment data are determined so as to generate a transaction work order of the declaration participant. It can be understood that the first authorization data of the reporting participant has the conditions of inaccuracy and large deviation, and therefore the first authorization data is corrected by combining the load prediction curve, and a more accurate transaction work order is determined.
In an alternative embodiment, the determining a transaction order for claiming the participating party based on the first authorization data and the load prediction curve may include: determining the parametricable capacity of the declared participant according to the first authorization data and the load prediction curve; and determining the transaction work order of the declaration participant according to the parametricable capacity.
The capacity of the reporting party can be the electricity utilization load quantity which can be adjusted by the reporting party in the process of participating in the demand response. And calculating the referenceable adjustable capacity of the declared participant according to the declared adjustable capacity of the declared participant in the first authorization data and the predicted adjustable capacity in the load prediction curve. And generating a transaction order of the declaration participant according to the parametricable capacity. For example, data such as the amount of money expected to respond to a profit is determined from the referenceable capacity and is then statistically entered into the transaction work order of the reporting party.
The embodiment determines the adjustable parameter capacity according to the first authorization data and the load prediction curve, and generates the transaction work order, so that the advantage of correcting and adjusting the adjustable capacity declared by the participant through the load prediction curve is realized, the power supplier and/or the power seller can accurately control the process of demand response according to the adjustable parameter capacity, and the power supplier and/or the power seller can timely and accurately adjust the power load of the participant.
And S230, adjusting the power load of the participant according to the trade work order.
According to the technical scheme of the embodiment of the application, the transaction work order of the reporting participant is determined through the first authorization data and the load prediction curve of the reporting participant, and the power load control is carried out according to the transaction work order. Therefore, the parametricable and adjustable capacity of the reporting party can be more accurately determined, the power supply party and/or the power selling party can be facilitated to accurately control the demand response process, the power load of the reporting party can be timely controlled and adjusted, and the stability of a power grid can be improved.
EXAMPLE III
Fig. 3 is a flowchart of a load adjustment method according to a second embodiment of the present application. On the basis of the technical solutions of the embodiments, the determining operation for determining the transaction work order of the hosting party is refined, so that the power load of the hosting party is adjusted according to the demand response condition.
Referring to the load adjustment method shown in fig. 3, the method specifically includes the following steps:
s310, acquiring response authorization associated data of a participant of demand response; the participant type includes the managed participant and, accordingly, the response authorization association data further includes second authorization data.
The hosting participant may be a participant that hosts a controllable load on a power supply and/or an electricity selling party for management and control, for example, some enterprises, units, organizations, and the like may be hosting participants. The second authorization data, i.e., response authorization association data of the hosting party, may include, but is not limited to, hosting device information, adjustable load information, and the like.
And S320, determining the adjustable load of the hosting party according to the second authorization data.
And determining which of the electric equipment entrusted to the power supplier and/or the electricity seller by the hosting party can be used for load control as adjustable loads according to the second authorization data, and remotely controlling the adjustable loads to adjust the electric loads of the hosting party in the process of demand response.
And S330, determining the transaction work order of the hosting party according to the adjustable load.
And counting the adjustable load and the information related to the adjustable load into plan adjustment data of the hosting party, so as to generate a trading work order of the hosting party.
And S340, adjusting the power load of the participant according to the trade work order.
According to the technical scheme, the adjustable load of the hosting party is determined to generate the transaction work order, and therefore the power supply party and/or the power selling party can be helped to directly control the adjustable load of the hosting party according to the transaction work order of the hosting party.
Example four
Fig. 4 is a schematic diagram of a power demand response remote monitoring visualization system according to a fourth embodiment of the present application. The embodiment of the present application is a preferred embodiment provided on the basis of the foregoing embodiments, and takes a power demand response remote monitoring visualization system of a load aggregator and/or an electricity selling company (i.e. a power supplier and/or an electricity selling party) as an example, as shown in fig. 4:
the power demand response remote monitoring visualization system 400 includes: an information collecting module 410, which is used to collect and receive real-time data of installing the smart meter on site (such as the site of each participant in the foregoing embodiments) (i.e. to obtain the power utilization condition of each participant load in real time); a display module 420 for displaying information such as electric power market transaction information, current adjustable load distribution, current adjustable load type, historical overall profit, and the like; a transaction management module 430 for receiving demand response notifications, creating transaction work orders, user status queries, screening participants, pushing participants, receiving participant confirmation information, allocating response capacity, and historical revenue queries; an assistant decision module 440, configured to receive adjustable capacity information, adjustable direct control equipment capacity information, declared parametric capacity, and declared price; dispatch supervisor module 450 for monitoring the load and sending alerts and emergency corrective policies outside of the deviation threshold.
After the meter is installed in the customer's field, the data may be uploaded to the power demand response remote monitoring visualization system 400. Turning on the power demand response remote monitoring visualization system 400, the first thing to do is the presentation module 420, which can see the overall data, which can include but is not limited to power transaction information, current adjustable load distribution, current adjustable load category, and historical overall revenue. After receiving the demand response notification, the transaction management module 430 is skipped to, and reporting participants and hosting participants who can participate in the response are screened, and a transaction work order is created according to different participants, and then returned to each participant. After receiving the confirmation information of the reporting party, the system jumps to the auxiliary decision module 440, determines the capacity of the reporting party capable of participating in the demand response according to the load prediction curve and the load amount filled by the reporting party, returns to the transaction management module 430 after the reporting price is determined, returns the contents of the transaction work order to each reporting party again, confirms the reporting party again, and can respond according to the transaction work order on the demand response day after receiving the secondary confirmation information.
After receiving the confirmation information of the hosting party, skipping to a direct control equipment function component of the assistant decision module 440, inquiring the adjustable and controllable equipment of the hosting party, determining the adjustable capacity and the declared price under the assistance of the regulation and control strategy, returning to the transaction management module 430 after the determination is finished, pushing the transaction work order to each hosting party, confirming the hosting party again, and after receiving the secondary confirmation information, performing load regulation and control according to the strategy on the demand response day. On the day of the demand response, the dispatching monitor module 450 monitors the demand response state and load condition of each participant, and if the deviation between the electricity utilization condition of the participant and the plan in the transaction work order is too large (for example, the actual response load is 80% -120% of the declared response capacity), the dispatching monitor module 450 automatically issues an alarm instruction and provides an emergency correction strategy. After the requirement response is finished, the transaction management module 430 may perform operations such as querying and replying to the requirement response.
According to the technical scheme of the embodiment of the application, transparent, accurate and timely management and adjustment of participation and demand response of the participants can be realized through the power demand response remote monitoring visualization system 400.
EXAMPLE five
Fig. 5 is a structural diagram of a load adjustment apparatus provided in the fifth embodiment of the present application, where the embodiment of the present application is applicable to a case where a load of a demand response participant is adjusted, and the apparatus may be implemented by software and/or hardware and may be configured in an electronic device. As shown in fig. 5, the load adjusting apparatus 500 may include: an authorization data acquisition module 510, a transaction order determination module 520, and a power load adjustment module 530, wherein,
an authorization data obtaining module 510, configured to obtain response authorization associated data of a participant who needs to respond;
a transaction work order determination module 520, configured to determine a transaction work order of a participant according to the response authorization association data and the participant type of the participant;
and the power load adjusting module 530 is used for adjusting the power load of the participant according to the trade work order.
According to the technical scheme of the embodiment of the application, the transaction work orders of all the participants are determined aiming at different types of the participants, and special transaction work orders can be generated for the participants according to the conditions of the participants so as to adapt to the participation demand response of the participants, so that the flexibility of determining the transaction work orders is improved, and a basis for adjusting the load is provided for a power supply party and/or a power selling party; in addition, the power load of each participant is adjusted according to each trading worksheet, so that the power supply party and/or the power selling party can accurately control the power load of each participant.
In an alternative embodiment, the participant type includes a reporting participant, and accordingly, the response authorization association data includes first authorization data;
accordingly, the transaction work order determination module 520 may include:
and the transaction work order determining unit is used for determining the transaction work order of the declaration participant according to the first authorization data and the load prediction curve of the declaration participant.
In an alternative embodiment, the transaction work order determination unit may include:
the parametricable capacity determining subunit is used for determining the parametricable capacity of the declared participant according to the first authorization data and the load prediction curve;
and the declaration party work order determining subunit is used for determining the transaction work order of the declaration participation party according to the parameterable capacity.
In an alternative embodiment, the load adjustment apparatus 500 may further include:
the power utilization condition acquisition module is used for acquiring the historical power utilization load condition of the reporting party;
and the prediction curve determining module is used for determining a load prediction curve of the reporting party according to the historical power load condition.
In an alternative embodiment, the participant type comprises a hosting participant, and the response authorization association data further comprises second authorization data;
accordingly, the transaction work order determination module 520 may include:
the adjustable load determining unit is used for determining the adjustable load of the hosting party according to the second authorization data;
and the custodian work order determining unit is used for determining the transaction work order of the custodian participant according to the adjustable load.
In an alternative embodiment, the electrical load adjusting module 530 may include:
the plan adjustment data acquisition unit is used for acquiring plan adjustment data in the transaction work order;
the power load judging unit is used for determining whether the power load of the participant accords with a preset adjusting threshold value according to the plan adjusting data;
and the power load adjusting unit is used for adjusting the power load of the participant according to a preset adjusting threshold value if the power load is not matched with the preset adjusting threshold value.
In an optional implementation, the electrical load determination unit may include:
the real-time power consumption data acquisition subunit is used for acquiring real-time power consumption load data of the participants;
and the load with load judgment subunit is used for determining whether the power load of the participant accords with a preset adjustment threshold value according to the real-time power load data and the plan adjustment data.
The load adjusting device provided by the embodiment of the application can execute the load adjusting method provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of executing each load adjusting method.
EXAMPLE six
Fig. 6 is a structural diagram of an electronic device according to a sixth embodiment of the present application. Fig. 6 illustrates a block diagram of an exemplary electronic device 612 suitable for use in implementing embodiments of the present application. The electronic device 612 illustrated in fig. 6 is only an example and should not bring any limitations to the functionality and scope of use of the embodiments of the present application.
As shown in fig. 6, the electronic device 612 is in the form of a general purpose computing device. The components of the electronic device 612 may include, but are not limited to: one or more processors or processing units 616, a system memory 628, and a bus 618 that couples various system components including the system memory 628 and the processing unit 616.
Bus 618 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
The electronic device 612 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by electronic device 612 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 628 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)630 and/or cache memory 632. The electronic device 612 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 634 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, commonly referred to as a "hard drive"). Although not shown in FIG. 6, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be connected to bus 618 by one or more data media interfaces. Memory 628 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the application.
A program/utility 640 having a set (at least one) of program modules 642 may be stored, for example, in memory 628, such program modules 642 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 642 generally perform the functions and/or methods of the embodiments described herein.
The electronic device 612 may also communicate with one or more external devices 614 (e.g., keyboard, pointing device, display 624, etc.), with one or more devices that enable a user to interact with the electronic device 612, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 612 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 622. Also, the electronic device 612 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 620. As shown, the network adapter 620 communicates with the other modules of the electronic device 612 via the bus 618. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 612, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, to name a few.
The processing unit 616 executes various functional applications and data processing, such as implementing the load adjustment method provided by the embodiments of the present application, by running at least one of the other programs in the plurality of programs stored in the system memory 628.
EXAMPLE seven
The seventh embodiment of the present application further provides a computer-readable storage medium, on which a computer program (or referred to as computer-executable instructions) is stored, where the program is used to, when executed by a processor, perform the load adjustment method provided in the embodiment of the present application: acquiring response authorization associated data of a participant of demand response; determining a transaction work order of the participant according to the response authorization associated data and the participant type of the participant; and adjusting the power load of the participants according to the trade work order.
The computer storage media of the embodiments of the present application may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. 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 (a non-exhaustive list) of the computer readable storage medium would include the following: 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 context of this document, 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.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, 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 wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, 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).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims (10)

1. A method of load adjustment, comprising:
acquiring response authorization associated data of a participant of demand response;
determining a transaction work order of the participant according to the response authorization association data and the participant type of the participant;
and adjusting the power load of the participant according to the transaction work order.
2. The method of claim 1, wherein the participant type includes a declared participant, and wherein the response authorization association data includes first authorization data;
correspondingly, the determining the transaction order of the participant according to the response authorization association data and the participant type of the participant comprises:
and determining a transaction work order of the declaration participant according to the first authorization data and the load prediction curve of the declaration participant.
3. The method of claim 2, wherein determining a transaction order for the reporting party based on the first authorization data and the load prediction profile comprises:
determining parametricable capacity of the reporting party according to the first authorization data and the load prediction curve;
and determining the transaction order of the declaration participant according to the parametricable capacity.
4. The method of claim 2, wherein the load adjustment method further comprises:
acquiring historical power load conditions of the declaration participants;
and determining the load prediction curve of the declaration participant according to the historical power load condition.
5. The method of claim 1, wherein the participant type comprises a hosting participant, and wherein the response authorization association data further comprises second authorization data;
correspondingly, the determining the transaction order of the participant according to the response authorization association data and the participant type of the participant comprises:
determining an adjustable load of the hosting participant according to the second authorization data;
and determining a trade work order of the hosting party according to the adjustable load.
6. The method of any of claims 1-5, wherein said adjusting the power load of the participant according to the trade order comprises:
acquiring plan adjustment data in the transaction work order;
determining whether the power load of the participant meets a preset adjustment threshold according to the plan adjustment data;
and if not, adjusting the power load of the participant according to the preset adjustment threshold.
7. The method of claim 6, wherein said determining whether the electrical load of the participant meets a preset adjustment threshold based on the projected adjustment data comprises:
acquiring real-time power load data of the participants;
and determining whether the power load of the participant meets the preset adjustment threshold according to the real-time power load data and the plan adjustment data.
8. A load leveling device, comprising:
the authorization data acquisition module is used for acquiring response authorization associated data of a participant who needs to respond;
the transaction work order determining module is used for determining the transaction work order of the participant according to the response authorization associated data and the participant type of the participant;
and the power load adjusting module is used for adjusting the power load of the participant according to the transaction work order.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the load adjustment method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the load adjustment method according to any one of claims 1 to 7.
CN202210493173.6A 2022-05-07 2022-05-07 Load adjustment method and device, electronic equipment and storage medium Pending CN115034559A (en)

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