CN114416869A - Load aggregation scheduling platform and system - Google Patents
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Abstract
The disclosure relates to the technical field of internet, and provides a load aggregation scheduling platform and a system. The platform includes: the system comprises an information acquisition module, an information model building module, an equipment internet of things module, a data storage module and a data transmission module, wherein the information acquisition module is used for acquiring energy utilization data of an energy utilization party; the information model building module is used for building a public information model according to the equipment data and the basic information; the equipment internet of things module is used for acquiring measuring point data and storing the measuring point data in the message queue cluster; the data storage module is used for pulling and processing the time sequence data of the measuring points to obtain processed data and storing the processed data in a distributed database; and the data transmission module is used for calling target processing data and uploading the target processing data to the load scheduling party according to the load scheduling offer issued by the load scheduling party. The system can realize the technical butt joint of most domestic power grids, supports various protocols, and has wide support range and strong expansibility; meanwhile, the method has the advantages of high reliability, low time delay, high precision and data transmission safety.
Description
Technical Field
The disclosure relates to the technical field of internet, in particular to a load aggregation scheduling platform and a load aggregation scheduling system.
Background
Along with the gradual deepening of energy trading duration reform, energy-saving optimization, comprehensive energy scheduling and the like in recent years, the demand for fine control of energy is higher and higher.
However, the existing mature and general load scheduling systems are very few in the market, most of the existing load scheduling systems still have the problems of non-uniform information, easy system confusion and the like, and the existing systems can only support a single data interaction protocol and have poor expansibility; data circulation mostly adopts a traditional database storage mode, so that the process is time-consuming and the delay is high.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a load aggregation scheduling platform and system, so as to solve the problems in the prior art that most load scheduling systems still have non-uniform information and are easily confused, and the current system can only support a single data interaction protocol, and has poor extensibility; data circulation mostly adopts a traditional database storage mode, so that the problems of time consumption and high delay of the process are caused.
In a first aspect of the embodiments of the present disclosure, a load aggregation scheduling platform is provided, including:
the information acquisition module is configured to acquire the energy utilization data of the energy utilization party, and the energy utilization data comprises basic information of the energy utilization party and equipment data of scheduling equipment to be accessed;
the information model building module is configured to build a public information model according to the equipment data and the basic information;
the device internet of things module is configured to obtain corresponding measuring point data by using a preset gateway based on a public information model and temporarily store the measuring point data into the message queue cluster;
the data storage module is configured to pull the measuring point time sequence data from the message queue cluster, process the measuring point time sequence data to obtain processed data, and store the processed data into a preset distributed database;
and the data transmission module is configured to retrieve target processing data from the distributed database according to the load scheduling offer issued by the load scheduler and upload the target processing data to the load scheduler so that the load scheduler formulates a load scheduling task according to the target processing data.
In a second aspect of the embodiments of the present disclosure, a load aggregation scheduling system is provided, including:
the load aggregation dispatching platform, and the load dispatching party and the energy using party which are respectively in communication connection with the load aggregation dispatching platform.
Compared with the prior art, the embodiment of the disclosure has the advantages that at least: the load aggregation scheduling platform comprises an information acquisition module, an information model building module, an equipment internet of things module, a data storage module and a data transmission module, wherein the information acquisition module is configured to acquire energy utilization data of an energy utilization party, and the energy utilization data comprises basic information of the energy utilization party and equipment data to be accessed into scheduling equipment; the information model building module is configured to build a public information model according to the equipment data and the basic information; the equipment internet of things module is configured to use a preset gateway to obtain corresponding measuring point data based on a public information model, and temporarily store the measuring point data into a message queue cluster; the data storage module is configured to pull the measuring point time sequence data from the message queue cluster, process the measuring point time sequence data to obtain processed data, and store the processed data into a preset distributed database; the data transmission module is configured to retrieve target processing data from the distributed database according to a load scheduling offer issued by the load scheduler, and upload the target processing data to the load scheduler so that the load scheduler formulates a load scheduling task according to the target processing data. The load aggregation scheduling platform provided by the disclosure can realize technical docking of most domestic power grids, supports WebService (Web service), RESTful API (application program interface (API) architecture style for requesting access or using data by HTTP), a power grid 101 protocol and the like, has wide support range and strong expansibility, and can ensure efficient power grid transaction. Meanwhile, the platform has the advantages of high reliability, low time delay, high precision and data transmission safety, and has wide market prospect.
Drawings
To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.
Fig. 1 is a schematic structural diagram of a load aggregation scheduling platform provided in an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a load aggregation scheduling system provided in an embodiment of the present disclosure;
fig. 3 is a schematic view of a service flow in a load aggregation scheduling system according to an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
A load aggregation scheduling platform and system according to embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of a load aggregation scheduling platform according to an embodiment of the present disclosure. As shown in fig. 1, the load aggregation scheduling platform includes:
the information acquisition module 101 is configured to acquire the energy utilization data of the energy utilization party, wherein the energy utilization data includes basic information of the energy utilization party and device data of the scheduling device to be accessed.
In one embodiment, the energy usage data of the energy usage party can be collected by: loading an information input template corresponding to a preset energy utilization service scene; and receiving the energy utilization data input by the energy utilization party based on the information input template.
Wherein, the energy utilization party refers to a load energy utilization party. Specifically, different energy usage may be defined according to different types of load energy. For example, the electricity consumer (electric energy as load energy), the water consumer (water as load energy), and the gas consumer (natural gas, etc. as load energy) may be used.
The preset energy-consumption service scenario may be different energy-consumption service scenarios according to different service scenarios, for example, an electric power service scenario corresponds to an electric power service scenario, and a water service scenario corresponds to a water service scenario.
The information entry template can be an information entry form, and the form can comprise row and column names (such as enterprise names, business qualifications and energy use appropriateness and the like) and corresponding information uploading areas.
As an example, the load aggregation scheduling platform may load an information entry template corresponding to a preset energy use service scene by starting the information acquisition module, and receive the information entry template based on which the energy user fills in the entered basic information and the device data to be accessed to the scheduling device.
The basic information includes information such as enterprise name, business qualification, energy contract, and the like. The scheduling device to be accessed comprises various energy-using devices of the energy-using party. For example, various electric devices (such as computers, boilers, production equipment (such as boiler equipment, etc.), lighting equipment, electric heating equipment, electric vehicles, etc.) of the consumers are provided. And the device data comprises the name of the device to be accessed into the scheduling device, the model of the device, and the measurement points (such as the measurement points of current, power, electric quantity and the like) of the device.
And an information model building module 102 configured to build a common information model according to the device data and the basic information.
In an embodiment, the public information model may be built specifically according to the following steps: processing the equipment data to generate standardized information, wherein the standardized information comprises equipment classification codes and load measurement point codes; and building a public information model according to the standardized information and the basic information.
Specifically, after the information model building module obtains the device data, information standardization may be performed on the device data to generate standardized information including device classification codes, current, power, electric quantity, and other measurement point codes corresponding to each to-be-accessed scheduling device. For example, the device data to be accessed to the scheduling device a includes a device name a, a device type is a type B, and the measuring device includes a current meter, and an electric power meter, then the device data to be accessed to the scheduling device a may be standardized to generate a code sequence [ a, B,1,2,3] corresponding to "[ device name, device type, current meter, electric power meter ]. Then, a public information model is built according to the standardized information and the basic information of the energy users.
Among other things, the Common Information Model (CIM) is an abstract model that describes all the major objects of an energy user (e.g., a power enterprise), particularly objects related to power operation. By providing a standardized method for representing power system resources in terms of object classes and attributes and relationships between them, CIM facilitates integration of Energy Management System (EMS) applications developed independently by different energy providers, integration between multiple, independently developed complete EMS systems, and integration between EMS systems and other systems involving different aspects of power system operation, such as power generation or distribution systems. This is accomplished by defining a common language (i.e., syntax and semantics) based on CIM so that these applications or systems can access common data and exchange information independent of the internal representation of the information.
And the equipment internet of things module 103 is configured to obtain corresponding measuring point data by using a preset gateway based on the common information model, and temporarily store the measuring point data into the message queue cluster.
The preset gateway may specifically determine which type of gateway is used according to a network protocol negotiated by the platform and the energy user. For example, the platform and the user can negotiate to use the TCP/IP protocol for communication and data exchange, and the gateway preset here may be a gateway supporting the TCP/IP protocol.
As an example, based on the common information model, a load measurement point code of each energy user to be accessed to the scheduling device may be determined, and according to the load measurement point code, measurement point data (e.g., current, electric quantity, electric power, etc.) corresponding to the load measurement point code may be acquired through the gateway, and the acquired measurement point data may be temporarily stored in the message queue cluster. In the message queue cluster, the data of each measuring point can be sequenced according to the sequence of the measuring time, and the message in the form of [ energy using party, scheduling equipment to be accessed, measuring point data ] "can be recorded.
In the embodiment of the disclosure, some internet of things service functions of the equipment internet of things module can be realized by applying the internet of things technology. The internet of things is an important component of a new generation of information technology, and the IT industry is called as follows: the general interconnection means that things are connected and all things are connected, and The English name is "The Internet of things". Therefore, the Internet of things is the Internet connected with the objects. This has two layers: firstly, the core and the foundation of the internet of things are still the internet, and the internet is an extended and expanded network on the basis of the internet; second, the user end extends and extends to any article to article for information exchange and communication. Therefore, the definition of the internet of things is a network which connects any article with the internet according to an agreed protocol through information sensing equipment such as Radio Frequency Identification (RFID), infrared sensors, global positioning systems, laser scanners and the like, and performs information exchange and communication so as to realize intelligent identification, positioning, tracking, monitoring and management of the article.
The communication and information exchange between the platform and the to-be-accessed dispatching equipment of the energy users can be realized through the technology of the Internet of things, so that the platform can conveniently execute remote real-time regulation and control on the to-be-accessed equipment of each energy user according to the load dispatching task issued by the load dispatcher, and the dispatching control of the load is realized.
And the data storage module 104 is configured to pull the measurement point time sequence data from the message queue cluster, process the measurement point time sequence data to obtain processed data, and store the processed data in a preset distributed database.
As an example, the messages in the message queue cluster are typically ordered by the acquisition time or acquisition time of the point data.
Illustratively, the messages in the message queue cluster may be presented in an arrangement as shown in table 1 below.
Table 1 message queuing table in message queue cluster
In an embodiment, according to different service requirements, one or more lines of data in table 1 above may be pulled to perform data processing, so as to obtain processed data, and the processed data is stored in a preset distributed database (hbsase). A uniform API interface can be provided to facilitate the user to query and download the processing data or the measuring point time sequence data of the energy user.
In the embodiment of the disclosure, the measurement point time sequence data pulled from the message queue cluster is processed to obtain the processed data, the processed data is stored in the distributed database, and a uniform API (application program interface) is provided, so that the data circulation efficiency can be effectively improved, and the data transmission delay can be reduced.
And the data transmission module 105 is configured to retrieve target processing data from the distributed database according to the load scheduling offer issued by the load scheduler, and upload the target processing data to the load scheduler so that the load scheduler formulates a load scheduling task according to the target processing data.
In some embodiments, the load scheduling offer includes a scheduling period and a scheduling amount. And target processing data meeting the scheduling time period and the scheduling amount can be called from the distributed database according to the load scheduling offer issued by the load scheduler and the preset calling rule.
As an example, 24 hours a day may be divided into 96 periods of 15 minutes each, with a granularity of 15 minutes. The scheduling period may be any one or more of these 96 periods. Of course, the granularity can be flexibly set according to actual conditions, and for example, the granularity can be 30 minutes, 1 hour, 2 hours and the like.
The scheduling amount specifically refers to a scheduling amount corresponding to each scheduling period, and may also be a total scheduling amount. For example, the scheduling period is 0 point 15 minutes in the operation cycle (1 day) of the power equipment, and the corresponding scheduling amount is X kilowatt-hour. As another example, the total scheduled amount of 96 periods (each period corresponding to 15 minutes) for 1 day (24 hours) of operation of the power device is Y kilowatt-hours.
The preset invoking rule may be to sequentially pull the corresponding processing data from top to bottom according to the time sequence of the message queue.
As an example, assuming that the load scheduling offer is "scheduling period is 10: 15 minutes, and the scheduling amount is X kilowatt-hour", the preset scheduling rule is to pull the processing data sequentially from top to bottom according to the time sequence of the message queue, then the corresponding scheduling amounts may be accumulated one by one from the scheduling amount corresponding to the first message in the message queue until the accumulated scheduling amount is greater than or equal to the scheduling amount in the load scheduling offer, and the first message is pulled down until the message whose accumulated scheduling amount satisfies the scheduling amount in the load scheduling offer, and the message of this portion is determined as the target processing data.
In some embodiments, uploading the target processing data to the load scheduler to enable the load scheduler to formulate a load scheduling task according to the target processing data comprises:
extracting a measurement time point and a measurement value in the target processing data;
dividing the measurement time points according to a preset time interval to obtain a measurement time period;
summarizing the measured values corresponding to the measuring time period to obtain a summarized value;
and generating a load curve according to the measurement time interval and the summary value, and uploading the load curve to a load scheduling party so that the load scheduling party can formulate a load scheduling task according to the load curve.
The target processing data includes one or more messages pulled from a message queue, and each message corresponds to a measurement time point (i.e., a measurement data acquisition time or an acquisition time) and a measurement value (e.g., a current measurement value, a power measurement value, and an electric power measurement value).
The preset time interval may be 15 minutes by granularity, and 1 day of 24 hours is divided into 96 time intervals.
As an example, a measurement time point and a measurement value in the target processing data are extracted, and the measurement values corresponding to the respective time intervals (measurement periods) are summarized to obtain a summarized value, that is, the schedulable load amount corresponding to each time interval is obtained.
Illustratively, it is assumed that the target process data includes data 01, data 02, and data 03, where the data 01 is [0 point 15 point, energy using 1, to-be-accessed scheduling device a, and current of measurement point 1 is X1], the data 02 is [0 point 30 point, energy using 1, to-be-accessed scheduling device a, and current of measurement point 1 is X2], and the data 03 is [0 point 45 point, energy using 1, to-be-accessed scheduling device a, and current of measurement point 1 is X3 ]. The measurement time points extracted from the target processing data include 0 point 15 point, 0 point 30 point and 0 point 45 point, and if 1 day 24 hours is divided into 96 time intervals according to the granularity of 15 minutes, three measurement time periods of 0 point 15 point, 0 point 30 point and 0 point 45 point can be obtained. The measurement value corresponding to 15 points of the measurement period 0 is X1 (also a summary value in this example), the measurement value corresponding to 30 points of the measurement period 0 is X2 (also a summary value in this example), and the measurement value corresponding to 45 points of the measurement period 0 is X3 (also a summary value in this example). And then, a load curve with the horizontal axis as time and the vertical axis as a summary value can be generated according to the measurement time interval and the summary value, and the load curve is uploaded to a load scheduling party (such as a power grid scheduling party). At this time, the load scheduling party may specifically make a load scheduling task by combining the load curves of other areas, the total energy amount, and the like.
In some embodiments, the uploading the target processing data to the load scheduler includes:
encrypting the target processing data to obtain encrypted data;
and uploading the encrypted data to a load dispatcher.
As an example, the load aggregation scheduling platform may download a public key from the load scheduler, encrypt target processing data using the public key, obtain encrypted data, and upload the encrypted data to the load scheduler. The load dispatcher can decrypt the encrypted data by using a private key (a symmetric key pair with a public key) of the load dispatcher to obtain decrypted data.
As another example, the load scheduling party may decrypt the encrypted data based on a data exchange protocol agreed with the load aggregation scheduling platform to obtain decrypted data, determine a load scheduling task according to the decrypted data, and issue the load scheduling task to the load aggregation scheduling platform.
The data exchange protocol may include the content of agreement such as signing, encryption, decryption, etc. through a digital certificate, and a communication protocol used by both parties.
In some embodiments, the platform further comprises:
and the load scheduling control module is configured to receive the load scheduling task, make a load scheduling response plan according to the load scheduling task, and execute the load scheduling response plan.
The load scheduling response plan generally includes the energy user, the scheduled device to be accessed, the response scheduling period, the response scheduling amount, and so on.
As an example, assuming that a received load scheduling task issued by a load scheduler (such as a power grid scheduler) is "0 point 15 minutes and schedules power K kilowatt hours", the load aggregation scheduling platform may determine at least one target energy consumer, and a to-be-accessed scheduling device (power device) corresponding to each target energy consumer, a response scheduling period (0 point 15 minutes), and a response scheduling amount (≧ K kilowatt hours) according to the grasped energy data of the energy consumer.
For example, suppose that 3 target energy consumers are required to respond to scheduling when the power amount K kilowatts is to be scheduled at 0 point and 15 points according to the load scheduling task, and each target energy consumer bears the scheduling amount of K/3. Then, a load scheduling response plan "target energy user 01, scheduling period 0 point 15, scheduling amount K/3 kilowatt-hour", "target energy user 02, scheduling period 0 point 15, scheduling amount K/3 kilowatt-hour", "target energy user 03, scheduling period 0 point 15, scheduling amount K/3 kilowatt-hour" may be prepared and issued to the corresponding target energy user.
In some embodiments, executing the load scheduling response plan comprises:
and controlling the on-off of an energy switch of the equipment to be accessed to the dispatching equipment of the energy utilization party and/or adjusting the operation power of the equipment to be accessed to the dispatching equipment according to the load dispatching response plan.
In combination with the above example, assuming that the target energy users 01, 02, and 03 all confirm the load scheduling response plans issued by the response platform to the load scheduling response plans and send the device data of the devices that can participate in the adjustment to the platform, the platform can control the on/off of the energy switch of the devices that can participate in the adjustment and are reported by each target energy user according to the device internet of things module of the platform, and/or adjust the operation power of the devices to be accessed to the scheduling, so as to complete the load scheduling response plans.
According to the technical scheme provided by the embodiment of the disclosure, the load aggregation scheduling platform comprises an information acquisition module, an information model building module, an equipment internet of things module, a data storage module and a data transmission module, wherein the information acquisition module is configured to acquire energy utilization data of an energy utilization party, and the energy utilization data comprises basic information of the energy utilization party and equipment data to be accessed into scheduling equipment; the information model building module is configured to build a public information model according to the equipment data and the basic information; the equipment internet of things module is configured to use a preset gateway to obtain corresponding measuring point data based on a public information model, and temporarily store the measuring point data into a message queue cluster; the data storage module is configured to pull the measuring point time sequence data from the message queue cluster, process the measuring point time sequence data to obtain processed data, and store the processed data into a preset distributed database; the data transmission module is configured to retrieve target processing data from the distributed database according to a load scheduling offer issued by the load scheduler, and upload the target processing data to the load scheduler so that the load scheduler formulates a load scheduling task according to the target processing data. The load aggregation scheduling platform provided by the disclosure can realize technical docking of most domestic power grids, supports WebService (Web service), RESTful API (application program interface (API) architecture style for requesting access or using data by HTTP), a power grid 101 protocol and the like, has wide support range and strong expansibility, and can ensure efficient power grid transaction. Meanwhile, the platform has the advantages of high reliability, low time delay, high precision and data transmission safety, and has wide market prospect.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
Fig. 2 is a schematic structural diagram of a load aggregation scheduling system according to an embodiment of the present disclosure. As shown in fig. 2, the load aggregation scheduling system includes:
the load aggregation scheduling platform 201, and the load scheduler 202 and the energy consumer 203 which are respectively connected with the load aggregation scheduling platform 201 in a communication way.
The technical scheme provided by the embodiment of the disclosure can realize technical docking of most domestic power grids, supports WebService (Web service), RESTful API (application program interface (API) architecture style for requesting access or using data by HTTP), a power grid 101 protocol and the like, has wide support range and strong expansibility, and can ensure efficient power grid transaction. Meanwhile, the platform has the advantages of high reliability, low time delay, high precision and data transmission safety, and has wide market prospect.
Fig. 3 is a schematic view of a service flow in a load aggregation scheduling system according to an embodiment of the present disclosure.
The load aggregation service can realize the technical docking of most domestic power grids, supports WebService, restful API, a power grid 101 protocol and the like, has wide support range and strong expansibility, and can ensure high-efficiency power grid transaction. The power grid trading core module mainly has a plan declaration function, a total sum data uploading function, a single model data uploading function, a single measurement data uploading function, an instruction issuing function, a data clearing function and a data recruitment function.
The operation platform can make and manage the declaration plan of each enterprise and check each historical declaration data. The method can be used for summarizing and analyzing various real-time and historical measuring point data and the like of the access equipment.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other ways. For example, the above-described apparatus/electronic device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, and multiple units or components may be combined or integrated into another system, or some features may be omitted or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method in the above embodiments, and may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the above methods and embodiments. The computer program may comprise computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.
The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.
Claims (10)
1. A load aggregation scheduling platform, comprising:
the information acquisition module is configured to acquire energy utilization data of an energy utilization party, wherein the energy utilization data comprises basic information of the energy utilization party and equipment data of scheduling equipment to be accessed;
the information model building module is configured to build a public information model according to the equipment data and the basic information;
the device internet of things module is configured to obtain corresponding measuring point data by using a preset gateway based on the public information model and temporarily store the measuring point data into a message queue cluster;
the data storage module is configured to pull measuring point time sequence data from the message queue cluster, process the measuring point time sequence data to obtain processed data, and store the processed data into a preset distributed database;
and the data transmission module is configured to retrieve target processing data from the distributed database according to a load scheduling offer issued by a load scheduler, and upload the target processing data to the load scheduler so that the load scheduler formulates a load scheduling task according to the target processing data.
2. The load aggregation scheduling platform of claim 1, wherein the collecting energy data of the energy consumer comprises:
loading an information input template corresponding to a preset energy utilization service scene;
and receiving energy consumption data input by the energy consumption party based on the information input template.
3. The load aggregation scheduling platform according to claim 1, wherein building a common information model according to the device data and the basic information comprises:
processing the equipment data to generate standardized information, wherein the standardized information comprises equipment classification codes and load measurement point codes;
and building a public information model according to the standardized information and the basic information.
4. The load aggregation scheduling platform of claim 1, wherein the load scheduling offer comprises a scheduling period and a scheduling amount;
the method for calling target processing data from the distributed database according to the load scheduling offer issued by the load scheduler comprises the following steps:
and calling target processing data meeting the scheduling time interval and the scheduling amount from the distributed database according to a load scheduling offer issued by a load scheduler and a preset calling rule.
5. The load aggregation scheduling platform of claim 1, wherein the uploading the target processing data to the load scheduler to enable the load scheduler to formulate a load scheduling task according to the target processing data comprises:
extracting a measurement time point and a measurement value in the target processing data;
dividing the measurement time points according to a preset time interval to obtain a measurement time period;
summarizing the measured values corresponding to the measuring time interval to obtain a summarized value;
and generating a load curve according to the measurement time interval and the summary value, and uploading the load curve to the load scheduling party so that the load scheduling party can formulate a load scheduling task according to the load curve.
6. The load aggregation scheduling platform of claim 1, wherein the uploading the target processing data to the load scheduler comprises:
encrypting the target processing data to obtain encrypted data;
and uploading the encrypted data to the load dispatcher.
7. The load aggregation scheduling platform of claim 6, wherein the load scheduler formulates a load scheduling task according to the target processing data, comprising:
and the load scheduling party decrypts the encrypted data based on a data exchange protocol agreed with the load aggregation scheduling platform to obtain decrypted data, determines a load scheduling task according to the decrypted data and issues the load scheduling task to the load aggregation scheduling platform.
8. The load aggregation scheduling platform of claim 7, wherein the platform further comprises:
and the load scheduling control module is configured to receive the load scheduling task, make a load scheduling response plan according to the load scheduling task, and execute the load scheduling response plan.
9. The load aggregation scheduling platform of claim 7, wherein executing the load scheduling response plan comprises:
and controlling the on-off of an energy switch of the equipment to be accessed and scheduled by the energy user according to the load scheduling response plan, and/or adjusting the operation power of the equipment to be accessed and scheduled.
10. A load aggregation scheduling system, comprising:
the load aggregation scheduling platform according to any one of claims 1 to 9, and a load scheduler and an energy consumer respectively connected to the load aggregation scheduling platform in communication.
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