An access method and system adapting to flexible interaction of multi-region and multi-type load resources

Abstract

The present invention discloses an access method and system that are adaptable to the flexible interaction of multi-region and multi-type load resources. By formulating a general self-description information specification for load models that are adaptable to multi-region and multi-type, and building a unified dispatching model architecture with a hierarchical partitioning model architecture based on information self-description, the dispatching master station automatically completes the modeling and access of multiple load resource information according to the self-description information actively uploaded by the load aggregator platform; it realizes maintenance-free automatic synchronization of multiple load resource models and reliable data interaction, and provides support for efficient, flexible, real-time and safe access of adjustable load resource data and participation in power grid peak and frequency regulation, accident standby, local overload, etc.

Description

Technical Field

[0001] This invention belongs to the field of load resource data access, specifically relating to an access method and system that adapts to flexible interaction of load resources in multiple regions and of multiple types. Background Technology

[0002] With the development of my country's energy transformation, a large amount of clean energy will replace traditional conventional power sources on the energy supply side, gradually forming the main power source and evolving towards a high-proportion renewable energy power system. On the energy consumption side, diverse load resources such as electric vehicles, electric heating, ground source heat pumps, and ice storage are constantly emerging. Electricity will gradually replace traditional energy sources such as oil and coal, dominating the final energy demand, and the load will gradually take on a dual role as both energy consumer and supplier. This new energy transformation will bring new challenges to the power grid operation. On the one hand, the overall regulation capacity of the power grid is showing a downward trend, and the large-scale consumption of renewable energy faces significant pressure. Renewable energy (wind power, photovoltaic) will show rapid development with both centralized and distributed generation. A large amount of renewable energy will replace traditional units, leading to a decline in the overall regulation capacity of the power grid. The contradiction between the scheduling space of traditional power grid regulation resources and the scale of intermittent renewable energy is becoming increasingly prominent, and the power grid operation faces prominent challenges such as system security and improving the utilization rate of renewable energy. On the other hand, electricity load continues to grow, and the input-output ratio for dealing with short-term peak loads is not high. In order to deal with short-term peak loads, a large amount of regulation resources must be allocated, resulting in huge power grid investment and low equipment utilization rates. In addition, existing regulation and control technologies are not adapted to the requirements of future energy internet development.

[0003] To address these issues, it is urgent to tap into the load-side resource regulation capacity, guide load-side resources to participate in grid peak shaving, increase grid regulation resources, and support the consumption of clean energy. It is also urgent to explore the demand elasticity of load-side resources, reduce short-term peak loads, and save on grid construction investment. Effective utilization of load resources faces multiple challenges, including load resource data access, load modeling, load regulation and control, and market interaction. Load resource data access is the first step and the foundation for subsequent work. However, unlike the standardized and regulated access to grid equipment data, ubiquitous load resource data is characterized by its large quantity, wide distribution, and diverse platforms, making it difficult to achieve unified access to ubiquitous load resource data through a single standard or path.

[0004] To address the aforementioned issues, improving the efficiency of load resource data access, minimizing manual intervention during the data access process, and achieving efficient, flexible, real-time, and secure access to load resource data are crucial for solving the challenge of efficient and low-cost data access for load-side resources. This will lay a solid foundation for comprehensively enhancing load regulation capabilities and contribute to the construction of a clean, low-carbon, safe, and efficient modern energy system. These are the problems that those skilled in the art need to solve. Summary of the Invention

[0005] Purpose of the invention: In order to solve the problems of low load resource access efficiency and difficulty in achieving unified access to ubiquitous load resource data through a single standard or path, this invention discloses an access method and system that adapts to flexible interaction of multi-region and multi-type load resources, providing support for efficient, flexible, real-time and secure access of adjustable load resource data and participation in power grid peak shaving and frequency regulation, emergency backup, and local overload.

[0006] Technical solution: An access method that adapts to flexible interaction of multiple regions and types of load resources, comprising the following steps:

[0007] Step 1: Based on the spatiotemporal response characteristics and control methods of typical multi-load resources participating in dispatching and operation of the power grid, extract the adjustment attributes and dispatchable attributes of multi-region and multi-type load resources from the aspects of adjustable capacity, response time, and interaction mode; based on the extracted adjustment attributes and dispatchable attributes, formulate a general self-describing information format that is suitable for multi-region and multi-type load resources.

[0008] Step 2: Based on the characteristics of the power grid's hierarchical and zoned operation, and combined with the actual business needs of power grid dispatching, a unified dispatching model architecture is formed in order of aggregation scope from low to high, and according to the general self-describing information format, consisting of equipment model, aggregation unit model, main transformer aggregation model, load operator regional / zone model, load operator model, and regional / zone aggregation model.

[0009] Step 3: The load aggregator automatically synchronizes model information formed in a general self-describing information format to the dispatch master station according to the agreed interaction method. The dispatch master station parses and verifies the model information, and only connects the load resource-related models corresponding to the model information that meets the verification requirements to the dispatch master station; the load resource-related models include equipment models, aggregation unit models, load operator regional models, and load operator models;

[0010] Step 4: The dispatch master station maintains the relationship between the load resource-related models and the power grid, and combines the power grid topology relationship to aggregate the load resource-related models connected to the dispatch master station in a hierarchical manner to generate the main transformer aggregation model, the load operator partition model, and the regional / partition aggregation model, thus completing the modeling of load resources according to the unified dispatch model architecture.

[0011] Step 5: Through a two-way authentication strategy, two-way data transmission is carried out between the control master station and the load aggregator. During the data transmission process, the data transmission process is monitored throughout by actively tracking and confirming the information interaction status.

[0012] Furthermore, the general self-describing information format is divided into a general self-describing information format for the device layer model and a general self-describing information format for the aggregation layer model. Multi-region and multi-type load resources can generate device model information and aggregation model information respectively according to the corresponding formats.

[0013] Furthermore, the equipment model information includes model attribute information and operational data. The model attribute information includes load equipment name, load equipment type, rated power, load aggregation unit, load operation entity, region, zone, and latitude and longitude. The operational data includes real-time active power data, real-time reactive power data, and real-time adjustable capacity data.

[0014] The aggregated model information includes model attribute information and operational data. The model attribute information includes the name of the aggregated unit, rated power, the load operating entity to which it belongs, the region to which it belongs, the zone to which it belongs, the load type, and the controllable and adjustable response capability. The operational data includes the current power of the aggregated unit, real-time upward adjustment capability, real-time downward adjustment capability, inter-level multi-stage upward adjustment amount, inter-level multi-stage upward adjustment duration, inter-level multi-stage downward adjustment amount, and inter-level multi-stage downward adjustment duration.

[0015] Furthermore, in step 3, the agreed-upon interaction methods include power communication protocols, CIM / E documents, and cross-platform services.

[0016] Furthermore, in step 3, the verification is as follows:

[0017] Verify the error messages in the submitted model information;

[0018] By considering the subordinate, dependent, inclusive, and related relationships among the load resource-related models, the completeness and rationality of the access load resource-related models are checked.

[0019] Furthermore, in step 5, the two-way authentication strategy includes: when the load resource model accesses the scheduling master station, the load aggregator provides a specified authentication credential; after the scheduling master station accesses and authorizes the authentication, it provides a data interaction interface service to the load aggregator.

[0020] Furthermore, in step 5, the information interaction status active tracking and confirmation strategy includes: monitoring the entire data transmission process based on status tracking, message confirmation, and offset technology.

[0021] When the status of the dispatch master station or load aggregator is abnormal or data transmission is abnormal, an error message will be displayed, automatic reconnection will be initiated, and automatic retransmission will be performed.

[0022] This invention also discloses a system for flexible interactive access to multi-regional and multi-type load resources, comprising:

[0023] The source end is used to generate corresponding model information from load resource-related models according to a general self-describing information format, and then send the generated model information to the load resource access system.

[0024] The load resource access system, a subsystem of the dispatch master station, is used to parse and verify the uploaded model information, and access the load resource-related models corresponding to the model information that meets the verification requirements to the dispatch master station. The load resource-related models include equipment models, aggregation unit models, load operator regional models, and load operator models. In combination with the power grid topology, the accessed load resource-related models are aggregated in a hierarchical manner to generate main transformer aggregation models, load operator regional models, and regional / regional aggregation models, thus completing the modeling of load resources according to a unified dispatch model architecture.

[0025] Furthermore, the model information includes equipment model information and aggregated model information; the equipment model information includes model attribute information and operating data, wherein the model attribute information includes load equipment name, load equipment type, rated power, to which the load aggregate unit belongs, to which the load operating entity belongs, to which the region belongs, to which the zone belongs, and latitude and longitude; the operating data includes real-time operating active power data, real-time operating reactive power data, and real-time adjustable capacity data;

[0026] The aggregated model information includes model attribute information and operational data. The model attribute information includes the name of the aggregated unit, rated power, the load operating entity to which it belongs, the region to which it belongs, the zone to which it belongs, the load type, and the controllable and adjustable response capability. The operational data includes the current power of the aggregated unit, real-time upward adjustment capability, real-time downward adjustment capability, inter-level multi-stage upward adjustment amount, inter-level multi-stage upward adjustment duration, inter-level multi-stage downward adjustment amount, and inter-level multi-stage downward adjustment duration.

[0027] Furthermore, the dispatch master station includes regional dispatch master stations and provincial dispatch master stations;

[0028] When a new load resource-related model is connected to the load resource access system on the regional dispatch master station, a unique model RDFID for the new load resource-related model is established on the regional dispatch master station. This model RDFID is linked to the load equipment and aggregation unit. The regional dispatch master station synchronizes the model with the provincial dispatch master station through the cross-domain service bus using binary message packets. The provincial dispatch master station uses the model RDFID corresponding to the regional dispatch master station.

[0029] Furthermore, the load resource access system includes:

[0030] The parsing unit is used to parse the submitted model information;

[0031] The verification unit is used to verify the uploaded model information based on the parsing results, including: sending a correction request to the source when there are errors in the uploaded model information; and verifying the completeness and rationality of the uploaded model information by considering the subordinate, dependency, inclusion and association relationships between the related models of the accessed load resources.

[0032] The access module is used to connect the load resource-related models corresponding to the model information that meets the verification requirements to the scheduling master station;

[0033] The aggregation module is used to combine the grid topology relationship and aggregate the relevant models of the connected load resources in a hierarchical manner to generate the main transformer aggregation model, the load operator partition model, and the regional / partition aggregation model, thus completing the modeling of load resources according to a unified scheduling model architecture.

[0034] Furthermore, the source end includes an identity authentication unit and an encryption unit. The identity authentication unit is used to provide the specified identity authentication credentials to the scheduling master station according to the security policy. The encryption unit is used to encrypt the data to be sent to the scheduling master station using the SSL / TLS protocol based on the asymmetric encryption algorithm.

[0035] The load resource access system includes an identity verification unit, which is used to verify the identity authentication credentials from the source end. Only when the identity verification unit verifies the identity authentication credentials will it receive encrypted data from the source end.

[0036] Beneficial effects: Compared with the prior art, the present invention has the following advantages:

[0037] (1) This invention realizes unified access to ubiquitous load resource data by formulating a general self-describing information specification for load models that are adapted to multiple regions and types;

[0038] (2) This invention constructs a scheduling side model architecture system oriented towards the hierarchical and partitioned operation characteristics, and automatically completes the modeling and access of multi-load resource information based on the self-descriptive information actively sent by the load aggregator, thereby realizing the maintenance-free automatic synchronization of the multi-load resource model;

[0039] (3) This invention realizes real-time bidirectional data push between the scheduling system and the load aggregator platform, as well as secure and reliable load adjustment data interaction, through a highly reliable data interaction strategy based on two-way identity authentication and active tracking and confirmation of information interaction status.

[0040] (4) This invention provides support for participating in power grid peak shaving and frequency regulation, emergency backup, and local overload. Attached Figure Description

[0041] Figure 1 Detailed information for a general description of the load model;

[0042] Figure 2 A model architecture system designed for hierarchical and partitioned operation characteristics;

[0043] Figure 3 Flowchart of the automatic synchronization mechanism for a multi-load resource model;

[0044] Figure 4 This is a diagram of a real-time reliable interaction architecture for load-side resources. Detailed Implementation

[0045] The technical solution of the present invention will now be further described in conjunction with the accompanying drawings and embodiments.

[0046] This invention provides an access method for flexible interaction of multi-regional and multi-type load resources, further illustrated using a typical example of regional dispatch access to an electric vehicle platform, comprising the following steps:

[0047] Step 1: Develop a general self-describing information specification for load models that are adaptable to multiple regions and load types; refer to Figure 1 Specifically:

[0048] Based on the spatiotemporal response characteristics and control methods of typical multi-load resources participating in dispatching and operation of the power grid, the adjustment attributes and dispatchable attributes of different types of load resources are extracted from aspects such as adjustable capacity, response time, and interaction mode. Based on the extracted adjustment attributes and dispatchable attributes, a general self-describing information format adapted to multi-region and multi-type load models is formulated. Through this general self-describing information format, multi-type load resources (such as smart energy service platforms, electric vehicle platforms, energy storage power station platforms, and third-party independent aggregators such as regional collaborative control and social load aggregators) can be uniformly modeled at the dispatching master station with standard model attributes and real-time data attribute requirements, so as to meet the application needs of power grid operation and control.

[0049] General self-describing information is divided into general self-describing information for device layer models and general self-describing information for aggregation layer models.

[0050] The equipment layer model refers to the equipment that actually participates in load regulation, which broadly includes large industrial users, grid-side energy storage, non-industrial air conditioning, electric vehicles, user-side energy storage, and other industrial and residential loads. Among them, electric vehicles mentioned include, but are not limited to, charging piles, and residential loads mentioned include, but are not limited to, electric heating and electric boilers.

[0051] The general self-descriptive information of the equipment layer model includes model attributes and operational data; among which, model attributes include, but are not limited to: load equipment name, load equipment type, rated power, load aggregation unit to which it belongs, load operating entity to which it belongs, region to which it belongs, zone to which it belongs, and latitude and longitude; operational data includes, but is not limited to: real-time active power, real-time reactive power, and real-time adjustable capacity.

[0052] The aggregation layer model refers to an aggregation model established based on the equipment layer model, aggregating load resources according to different spatiotemporal ranges, and aggregating adjustable capabilities. It includes aggregation unit models, main transformer aggregation models, load operator regional / zonal models, load operator models, and regional / zonal aggregation models. The aggregation unit model refers to the decomposition of the load operator entity into actual control units according to certain rules. Examples include charging stations on different grid-connected lines under an electric vehicle platform, different buildings on different grid-connected lines under a large load aggregator, and energy storage stations on different grid-connected lines under an energy storage station platform. The main transformer aggregation model specifically refers to the aggregation unit based on the main transformer in a regional power grid, mainly targeting all operator aggregation units belonging to the same main transformer supply area, including 35kV, 110kV, and 220kV main transformers. The load operator regional / zonal model is an aggregation model established according to the unified naming rule of "load operator name_region / zonal," based on the scale of the load operator's region / zonal, and aggregating adjustable capabilities. The load operator model mentioned refers specifically to a load management and operation platform for a single or cross-regional area, broadly encompassing the scheduling of load resources. The regional / zonal aggregation model mentioned differs from the load operator's regional / zonal model, specifically referring to aggregation units based on administrative regions / power grid zones, such as the Nanjing regional aggregation model, the Suzhou regional aggregation model, or the Donglong zone aggregation model and the Kunshan zone aggregation model.

[0053] The general self-describing information of the aggregation layer model includes model attributes and operational data. The model attributes include, but are not limited to: aggregation unit name, rated power, affiliated load operator, region, zone, load type, multiple grid connection points, and controllable and adjustable response capability. The controllable and adjustable response capability is specifically divided into observable capability, measurable capability, adjustable capability, and controllable capability. The operational data includes, but is not limited to: the current power of the aggregation unit, real-time upward adjustment capability, real-time downward adjustment capability, indirect control multi-level upward adjustment amount, indirect control multi-level upward adjustment duration, indirect control multi-level downward adjustment amount, indirect control multi-level downward adjustment duration, and real-time grid connection point information.

[0054] Step 2: Establish a scheduling model architecture system oriented towards the characteristics of hierarchical and partitioned operation.

[0055] Reference Figure 2For all diverse load resources in the power grid, corresponding model information is generated according to the general self-describing information specification for load models adapted to multiple regions and types established in step 1. Based on the characteristics of the power grid's hierarchical and zoned operation and combined with the actual business needs of power grid dispatching, the dispatching model architecture is formed in order of aggregation scope from low to high and according to the general self-describing information format of the model. The architecture consists of: equipment model, aggregation unit model, main transformer aggregation model, load operator regional / zone model, load operator model, and regional / zone aggregation model.

[0056] For the main transformer aggregation model, aggregation is performed layer by layer from low voltage level to high voltage level to form adjustable load resource models and real-time adjustment capabilities at each level. This creates a unified adjustable load resource pool, supporting the participation of adjustable load resources in grid peak shaving, frequency regulation, emergency backup, and local overload mitigation. Since the provincial dispatch system only has a complete topology for 220kV-500kV substations and lacks a 10kV load model, while the regional dispatch system has a modeling range of 10kV-500kV and a complete topology for 35kV-500kV substations, the following adjustments are required for accessing multi-load resources in the provincial dispatch system: adjustable capacity, real-time load, and predicted load are aggregated according to region and zone. This necessitates adaptive modifications to the provincial dispatch system to meet application scenarios such as zoned power generation and consumption assessment and over-limit correction of important transmission sections. For accessing multi-load resources in the regional dispatch system, the aggregation of adjustable capacity, real-time load, and predicted load must be performed at a minimum granularity of 10kV lines, based on the aggregation level of the multi-load resource.

[0057] Figure 2 Three sets of models are drawn. Electric vehicles and energy storage are relatively special singletons, while the others are not singletons. The load aggregation general unit model is calculated. That is to say, the load aggregation general unit model, energy storage power station model, and electric vehicle charging station model are instances of the aggregation unit model; the general equipment model, energy storage equipment model, and electric vehicle charging pile model are instances of the equipment layer model.

[0058] Step 3: See Figure 3 When a load aggregator maintains or adds load resource-related models, it generates model information according to the general self-describing information format defined in step 1, and submits this model information to the dispatch master station using an agreed-upon interaction method. The model information includes model information for the equipment layer model (electric vehicle charging pile model), the aggregation unit model (electric vehicle charging station model), and the load aggregator model (electric vehicle platform model). The agreed-upon interaction method mentioned above is the interaction method agreed upon between the load aggregator and the dispatch master station. Different interaction methods are used depending on the type of load aggregator, including power communication protocols, CIM / E files, cross-platform services, etc.

[0059] The scheduling master station verifies the uploaded model information, specifically including:

[0060] If there are errors in the uploaded model information, the scheduling master station will perform load verification and send correction requests to the load aggregator until the verification requirements are met.

[0061] It also includes model correlation verification. By analyzing the granular models of source-grid-load-storage aggregation, such as individual units, aggregators, regions, and areas, the completeness and rationality of the aggregation model are verified by considering the subordinate, dependent, inclusive, and related relationships between the models, and constraint relationships are formed.

[0062] Step 4: The dispatch master station maintains the relationship between the load resource model and the power grid, and combines the power grid topology to aggregate relevant hierarchical models of the power grid, realizing the modeling of load resources according to a unified dispatch model architecture. The relevant hierarchical models of the power grid are model information formed according to a general self-describing information format, including the main transformer aggregation model, the load operator zoning model, and the regional / zoning aggregation model. Taking electric vehicles as an example, the dispatch master station maintains the grid-connected power supply feeder (10kV load) of electric vehicle charging stations, the 35 / 110 / 220kV main transformers of the corresponding level, and the grid zoning information of the corresponding level, and performs corresponding level model aggregation to generate the main transformer aggregation model and the operator zoning aggregation model; furthermore, aggregation is performed at the regional and zoning dimensions to generate the regional aggregation model and the zoning aggregation model.

[0063] The load resource-related models corresponding to the model information that meets the verification requirements are connected to the dispatch master station, and a unique and corresponding model RDFID is established on the dispatch master station. This model RDFID is linked to the actual load equipment and aggregation unit. If the load resource-related model is connected to the regional dispatch master station, a unique model RDFID is established on the regional dispatch master station. This model RDFID is linked to the actual load equipment and aggregation object. The regional dispatch master station synchronizes the model with the provincial dispatch master station through the cross-domain service bus using binary message packets. The provincial dispatch master station uses the RDFID corresponding to the regional dispatch master station to ensure provincial and regional model sharing.

[0064] Step 5: To achieve real-time bidirectional data push and secure and reliable load regulation data interaction between the dispatch master station and the load aggregator, this invention proposes a highly reliable data interaction strategy based on bidirectional identity authentication and active tracking and confirmation of information interaction status. Data transmission is transformed from asynchronous file transmission to real-time message push mode, ensuring low latency and no data loss in long-chain cross-regional network environments. Data interaction capability is improved from minutes to seconds, solving the problem of high-quality data interaction from the production control area to the management information area and the Internet area, and realizing reliable, real-time, and complete data transmission under long-chain network transmission.

[0065] See Figure 4 The data interaction strategy of the present invention includes the following two aspects:

[0066] First, information network security is ensured through technologies such as user access control, digital certificate authentication, and data encryption. Regarding user access control, load aggregators provide designated authentication credentials according to security policies. Access to data interaction interface services is only granted after authorization and authentication through the dispatch master station. For digital certificate authentication, load aggregators and the dispatch master station employ third-party CA-certified digital certificates based on PKI technology, along with security services such as communication encryption, digital signatures, electronic seals, and timestamps to provide security protection for critical business information. Regarding data encryption, load aggregators and the dispatch master station use SSL / TLS-based encrypted transmission measures for data interaction, ensuring that encrypted data and keys are sent separately during data transmission.

[0067] In some embodiments, when a load aggregator connects, two-way authentication must be performed first, and a data interaction channel can only be established after both parties have successfully authenticated. During data interaction, the interactive content is encrypted using the SSL / TLS protocol based on an asymmetric encryption algorithm, and the encrypted data and key are sent separately to prevent the transmitted content from being eavesdropped on or tampered with, thus ensuring the integrity and security of the transmitted content.

[0068] Furthermore, a proactive tracking and confirmation mechanism for information interaction status based on state tracking, message confirmation, and offset technology enables full-process monitoring of data information interaction. When the peer platform experiences abnormal status or data transmission anomalies, it can promptly detect, alert, and automatically reconnect and resend, ensuring the reliability and integrity of data transmission in each interaction between the scheduling master station and the load aggregator platform. Specifically, state tracking tracks the communication status of each data interaction to promptly identify abnormal states; message confirmation involves the receiver acknowledging received data and returning confirmation information to the sender, enabling the sender to monitor whether the data has been correctly transmitted to the target platform; and offset technology involves the receiver recording the offset address of each received data, comparing it with the previous offset address to ensure that data is not reused.

Claims

1. An access method that adapts to the flexible interaction of multi-region and multi-type load resources, characterized by: The following steps are involved: Step 1: Based on the spatiotemporal response characteristics and control methods of typical multi-type load resources participating in the dispatching operation of the power grid, the regulation attributes and dispatchable attributes of multi-region and multi-type load resources are extracted from the aspects of resource adjustable capacity, response time, and interaction mode; based on the extracted regulation attributes and dispatchable attributes, a general self-describing information format that is suitable for multi-region and multi-type load resources is formulated; Step 2: Based on the hierarchical and zoned operation characteristics of the power grid and the actual business needs of the power grid dispatching, a unified dispatching model architecture of equipment model, aggregation unit model, main transformer aggregation model, load operator regional / zonal model, load operator model, and regional / zonal aggregation model is formed in the order of aggregation range from low to high and in accordance with the general self-describing information format; Step 3: The load aggregator automatically synchronizes the model information formed in the general self-describing information format to the dispatching master station in accordance with the agreed interactive mode. The dispatching master station parses and verifies the model information, and only connects the load resource related models corresponding to the model information that meets the verification requirements to the dispatching master station; the load resource related models include equipment models, aggregation unit models, load operator regional models, and load operator models; Step 4: The dispatching master station maintains the relationship between the connected load resource related models and the power grid, and combines the power grid topology to aggregate the load resource related models connected to the dispatching master station in a hierarchical manner, generating a main transformer aggregation model, a load operator partition model, and a regional / partition aggregation model, completing the modeling of load resources according to the unified dispatching model architecture; Step 5: Use a two-way identity authentication strategy to perform two-way data transmission between the control master station and the load aggregator. During the data transmission process, the information interaction status is actively tracked and confirmed to monitor the entire data transmission process. The general self-describing information format is divided into a general self-describing information format of a device layer model and a general self-describing information format of an aggregation layer model. Multi-region and multi-type load resources can generate device model information and aggregation model information respectively according to the corresponding formats based on resource characteristics; The equipment model information includes model attribute information and operation data, wherein the model attribute information includes load equipment name, load equipment type, rated power, load aggregation unit, load operation entity, region, subdistrict, longitude and latitude; the operation data includes real-time operation active data, real-time operation reactive data, and real-time adjustable capacity data; The aggregation model information includes model attribute information and operation data, wherein the model attribute information includes the aggregation unit name, rated power, load operating entity, region, zone, load type and controllable and adjustable response capability; the operation data includes the aggregation unit's current power, real-time upward adjustment capability, real-time downward adjustment capability, inter-control multi-level upward adjustment amount, inter-control multi-level upward adjustment duration, inter-control multi-level downward adjustment amount and inter-control multi-level downward adjustment duration.

2. According to claim 1, a method for accessing multiple types of load resources that is adaptable to flexible interaction in multiple regions is characterized by: In step 3, the agreed interaction method includes power communication protocol, CIM / E file, and cross-platform service.

3. According to claim 1, a method for accessing multiple types of load resources that is adaptable to flexible interaction in multiple regions is characterized by: In step 3, the verification is: Check the uploaded model information for errors; By considering the subordinate relationship, dependent relationship, inclusion relationship and association relationship among the connected load resource related models, the integrity and rationality of the connected load resource related models are checked.

4. The access method for flexible interaction of multi-region and multi-type load resources according to claim 1 is characterized in that: In step 5, the two-way identity authentication strategy includes: when the load resource model accesses the dispatching master station, the load aggregator provides a specified identity authentication credential, and after the dispatching master station accesses the authorization authentication, it provides a data interaction interface service to the load aggregator.

5. The access method for flexible interaction of multi-region and multi-type load resources according to claim 1 is characterized in that: In step 5, the information interaction status active tracking and confirmation strategy includes: monitoring the data transmission process in its entirety based on status tracking, message confirmation, and offset technology; When the status of the dispatching master station or load aggregator is abnormal or data transmission is abnormal, abnormal prompts, automatic reconnection, and automatic retransmission will be given.

6. A system that adapts to the flexible interactive access of multi-region and multi-type load resources, characterized by: include: The source end is used to generate corresponding model information from the load resource related model according to the general self-describing information format, and send the generated model information to the load resource access system; The load resource access system is a dispatching master station subsystem that is used to parse and verify the model information sent up, and connect the load resource related models corresponding to the model information that meets the verification requirements to the dispatching master station; Combined with the grid topology, the models related to the connected load resources are aggregated in grid layers and hierarchies to generate the main transformer aggregation model, load operator partition model, and regional / partition aggregation model, completing the modeling of load resources according to the unified dispatch model architecture; The load resource related models include equipment model, aggregation unit model, load operator region model, and load operator model; The model information includes device model information and aggregation model information; the device model information includes model attribute information and operation data, wherein the model attribute information includes load device name, load device type, rated power, load aggregation unit, load operation entity, region, subdistrict, longitude and latitude; the operation data includes real-time operation active data, real-time operation reactive data, and real-time adjustable capacity data; The aggregation model information includes model attribute information and operation data, wherein the model attribute information includes the aggregation unit name, rated power, load operating entity, region, zone, load type and controllable and adjustable response capability; the operation data includes the aggregation unit's current power, real-time upward adjustment capability, real-time downward adjustment capability, inter-control multi-level upward adjustment amount, inter-control multi-level upward adjustment duration, inter-control multi-level downward adjustment amount and inter-control multi-level downward adjustment duration.

7. A system for flexible interactive access of multi-region and multi-type load resources according to claim 6, characterized in that: The dispatching master station includes a regional dispatching master station and a provincial dispatching master station; When a new load resource related model is connected to the load resource access system on the regional dispatching master station, a unique model RDFID of the new load resource related model is established at the regional dispatching master station. The model RDFID has a corresponding link relationship with the load equipment and aggregation unit. The regional dispatching master station uses binary message packets through the cross-domain service bus to synchronize the model with the provincial dispatching master station. The provincial dispatching master station uses the model RDFID corresponding to the regional dispatching master station.

8. The system for flexible interactive access of multi-region and multi-type load resources according to claim 6 is characterized in that: The load resource access system comprises: A parsing unit, used to parse the uploaded model information; A checking unit is used to check the model information sent up based on the analysis results, including: sending a correction request to the source end when there is erroneous information in the model information sent up; and checking the integrity and rationality of the model information sent up by considering the subordinate relationship, dependency relationship, inclusion relationship and association relationship between the models related to the accessed load resources; An access module is used to connect the load resource related model corresponding to the model information that meets the verification requirements to the dispatching master station; The aggregation module is used to combine the grid topology relationship, aggregate the connected load resource related models in a grid layered and hierarchical manner, generate the main transformer aggregation model, load operator partition model, and regional / partition aggregation model, and complete the modeling of load resources according to the unified scheduling model architecture.

9. A system for flexible interactive access of multi-region and multi-type load resources according to claim 6, characterized in that: The source end includes an identity authentication unit and an encryption unit, wherein the identity authentication unit is used to provide a specified identity authentication credential to the dispatching main station according to a security policy, and the encryption unit is used to encrypt data to be sent to the dispatching main station using an SSL / TLS protocol based on an asymmetric encryption algorithm; The load resource access system comprises an identity confirmation unit, which is used to confirm the identity authentication credentials from the source end. Only when the identity confirmation unit confirms the identity authentication credentials, the encrypted data from the source end is received.

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