Distributed resource information modeling method and system for in-situ coordination control of active power distribution network

Abstract

The invention discloses a distributed resource information modeling method and system for in-situ coordination control of an active power distribution network, and the method comprises the steps: constructing a distributed resource information model of an access intelligent device based on IEC61850, and obtaining a distributed resource information IEC61850 model; performing IECCIM model expansion of the distributed resources on a master station side to obtain an expanded IECCIM model of a master station system; the distributed resource information IEC61850 model and the expanded master station system IECCIM model are fused, and a fusion model is obtained; and mapping data of the distributed resource information IEC61850 model and the master station system IECCIM model according to the fusion model, and realizing data interaction between the distributed energy system and the power system. The problems that a traditional power grid communication protocol is non-object-oriented, poor in expansibility and incapable of exchanging equipment models, and a consumption-oriented Internet of Things communication protocol is slightly insufficient in safety and real-time performance and incapable of supporting real-time application of a micro-grid are solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of distribution network control modeling, and more specifically, relates to a distributed resource information modeling method and system for local coordinated control of an active distribution network. Background Art

[0002] There are a large number of distributed resources with certain regulation and response capabilities in the active distribution network, including distributed generation resources, energy storage resources, electric vehicle resources and flexible load resources, etc. These resources are characterized by dispersion, small capacity and diverse types. These distributed resources are connected to the distribution network in large quantities and run in parallel, which brings new challenges to the planning and operation of the distribution network.

[0003] The traditional distribution network is based on the "grid-load" dual structure. It is a one-way power distribution network based on power grid supply and user power consumption. It belongs to the "grid (grid)-load (load)" dual structure. On this basis, the operation and management of the power grid are relatively simple. The changing demand of the load can be adapted by dispatching the overall grid, or the power balance can be achieved through effective control of the load and demand-side management. After the distributed resources are connected to the distribution network, it is necessary to realize the coordinated control and management of the source, network, load and storage. The management mode of the distribution network is no longer centralized dispatching and control. It is necessary to adopt a combination of centralized and decentralized modes to carry out operation and management. All links related to the operation, control, management and planning of the distribution network need to be upgraded accordingly as the imbalance between the grid and the load is caused by the access of distributed resources.

[0004] CN118611248A proposes a model mapping method for the plug-and-play mechanism of grid distribution networks. For new intelligent terminal devices in grid distribution networks, logical modeling is performed based on the IEC61850 standard and a mapping scheme to the CIM model is proposed; based on the logical model of the device, the control process between the distribution master station, the grid edge and the intelligent control terminal is studied, the control domain model of CIM is expanded, and control classes corresponding to the relevant data objects in IEC61850 are added to achieve matching with the operating functions of the intelligent terminal devices; the interactive data content between the distribution master station, the grid edge device and the terminal is analyzed, including electrical measurement data, equipment status information and control instructions, etc., and an interactive data set mapping scheme is designed to achieve real-time monitoring and control of the terminal by the grid edge device. However, the patented distribution network is heavily dependent on the control center in all aspects, including the source, network, energy storage, and load. It is impossible to realize on-site information exchange between various links and equipment, and the on-site distributed function application is not truly realized, and the problems of safety, reliability, and rationality are prominent. Moreover, there is no unified modeling on the equipment side of the patent, which cannot support equipment self-description and cannot realize functions such as "plug and play". As a result, the equipment is maintained by manual point numbering, which is prone to errors, has a large debugging workload, poor scalability, and high construction and operation costs. Summary of the invention

[0005] In order to solve the deficiencies in the prior art, the present invention provides a distributed resource information modeling method and system for local coordinated control of an active distribution network.

[0006] The present invention adopts the following technical solution.

[0007] The first aspect of the present invention provides a distributed resource information modeling method for local coordinated control of an active distribution network, comprising:

[0008] Based on IEC61850, a distributed resource information model for access to intelligent devices is constructed to obtain a distributed resource information IEC61850 model;

[0009] Expand the IECCIM model of distributed resources on the master station side to obtain the expanded IECCIM model of the master station system;

[0010] The distributed resource information IEC61850 model and the extended master station system IECCIM model are integrated to obtain an integrated model;

[0011] According to the fusion model, the data of the distributed resource information IEC61850 model and the master station system IECCIM model are mapped to realize data interaction between the distributed energy system and the power system.

[0012] Preferably, the distributed resource information model of the access intelligent device is constructed based on IEC61850 to obtain the distributed resource information IEC61850 model, which is specifically:

[0013] Establishing an IEC61850 model of an intelligent device IED, wherein the process of establishing the IEC61850 model of an intelligent device IED is: defining model data types of different intelligent device IEDs, selecting corresponding ACSI services for the intelligent device IEDs, configuring ACSI control block attributes, and completing modeling of physical devices, servers, logical devices LD, and logical nodes LN of each intelligent device IED;

[0014] Construct a distributed resource information model of a distributed energy architecture consisting of distributed energy units, a single distributed energy system, and a local distributed energy system connected to the load.

[0015] Preferably, constructing a distributed resource information model includes:

[0016] Establishing a logical node of a distributed energy architecture, wherein the logical node refers to a logical node corresponding to a logical device to which an IED device of an electrical connection point in the distributed energy architecture belongs, and the logical node specifies common characteristics, operating characteristics, operating control authority and operating mode of the corresponding IED device;

[0017] Modeling of different types of distributed energy systems, including photovoltaic systems, energy storage systems, electric vehicles, and flexible loads;

[0018] Based on the topological relationship of distributed energy architecture, the IEC61850 model of intelligent device IED, the logical node of distributed energy architecture and different types of distributed energy system models are combined to obtain the distributed resource information IEC61850 model.

[0019] Preferably, the IECCIM model of the distributed resources is expanded on the master station side to obtain the expanded IECCIM model of the master station system, specifically:

[0020] The power system resources in the IECCIM model of the original master station system are expanded to the distributed resource class, and the power electronic access class and generator access class are expanded according to the different distributed energy access modes;

[0021] For the extended distributed resource class, the attributes and attribute values ​​of the model are added respectively.

[0022] Preferably, the distributed resource information IEC61850 model and the expanded master station system IECCIM model are integrated to obtain a fusion model, specifically:

[0023] For the parts missing from the distributed resource information IEC61850 model and the expanded master station system IECCIM model, new models are added according to their own modeling rules; the master station system IECCIM model lacks a secondary equipment model, which includes a relay protection device and a measurement and control device, and adds protection, communication, control, and acquisition models to the intelligent electronic device IED in the master station system IECCIM model; the IEC 61850 model lacks a description object for the overall operation of the power enterprise, which includes power system resources PSR and power system assets Asset;

[0024] Associating the model parts common to the distributed resource information IEC61850 model and the extended master station system IECCIM model; the model parts common to the distributed resource information IEC61850 model and the extended master station system IECCIM model are devices in the power system, including transformers, switches, lines, etc., and modeling these devices;

[0025] Select objects that are better described by the distributed resource information IEC61850 model; modify the objects corresponding to the extended master station system IECCIM model according to the modeling rules of the IECCIM model based on the IEC61850 standard; Select objects that are better described by the extended master station system IECCIM model; modify the objects corresponding to the distributed resource information IEC61850 model according to the modeling rules of the IEC61850 model based on the IECCIM standard;

[0026] The parts that are not included in the distributed resource information IEC61850 model and the extended master station system IECCIM model are expanded according to their own modeling rules.

[0027] Preferably, the objects that are better described by the distributed resource information IEC61850 model are power system resources; and the objects that are better described by the extended master station system IECCIM model are objects that require data exchange and interoperability.

[0028] Preferably, the parts that are not included in the distributed resource information IEC61850 model and the expanded master station system IECCIM model are expanded according to their own modeling rules, specifically:

[0029] The equipment models, measurement models and communication protocols corresponding to the technologies of distributed energy, microgrids and electric vehicles in active distribution networks, which are not included in the distributed resource information IEC61850 model and the extended master station system IECCIM model, are expanded.

[0030] Preferably, the data of the distributed resource information IEC61850 model and the master station system IECCIM model are mapped according to the fusion model to realize data interaction between the distributed energy system and the power system, specifically:

[0031] Select the corresponding ACSI service from the IEC 61850 standard, and map the request / response service, request / non-response service, distributed general substation event, and distributed sampling measurement value group setting control in the ACSI service to the DDS topic; establish communication with the IED device that maps the IEC 61850 or CIM standard with DDS;

[0032] Based on the standardized service description language IDL, the feeder groups and substations in the IECCIM model of the master station system are mapped to the DDS domain.

[0033] Preferably, the construction and DDS mapping IEC 61850 or CIM standard IED device communication, specifically:

[0034] Define the domain name of the IED communication data space to determine the communication scope of the IED; define the subject of communication of the IED in its communication data space; create an IDL file to define the data structure to be communicated; use software middleware that complies with the DDS communication specification to convert the IDL to a program development language; modify the variable assignment and communication frequency of specific communication data as required; design and modify the QoS configuration file as required to establish a service quality strategy that meets the requirements of the IED.

[0035] The second aspect of the present invention proposes a distributed resource information modeling system for local coordinated control of an active distribution network using the method described in the first aspect of the present invention, comprising an IEC61850 model building module, an IECCIM model building module, a model fusion module, and a data interaction module, specifically:

[0036] IEC61850 model building module: used to build a distributed resource information model for accessing intelligent devices based on IEC61850 to obtain a distributed resource information IEC61850 model;

[0037] IECCIM model building module: used to expand the IECCIM model of distributed resources on the master station side to obtain the expanded IECCIM model of the master station system;

[0038] Model fusion module: used to fuse the distributed resource information IEC61850 model and the expanded master station system IECCIM model to obtain a fusion model;

[0039] Data interaction module: used to map the data of the distributed resource information IEC61850 model and the master station system IECCIM model according to the fusion model, so as to realize the data interaction between the distributed energy system and the power system.

[0040] The beneficial effect of the present invention is that, compared with the prior art, the present invention constructs a distributed energy information model based on the IEC61850 standard, and expands the power system information model. Since the standards adopted by the distributed energy information model and the power system information model are different, the corresponding communication methods and data definitions are different, and data interaction cannot be performed directly. Therefore, the two models are merged to construct an intermediate fusion model, so as to map the data of the distributed energy information model and the power system information model according to the fusion model, thereby realizing data interaction between the distributed energy system and the power system. DDS is selected as the transport layer and upper layer protocol standard to meet the requirements of real-time, high elasticity and robustness. Finally, based on the standardized service description language (IDL), a mapping relationship is established between the data field of the protocol and the model class attribute, so as to solve the problems that the traditional power grid communication protocol is non-object-oriented, has poor scalability, and cannot exchange device models, and the consumer-oriented Internet of Things communication protocol is slightly insufficient in security and real-time performance, and cannot support the real-time application of microgrids. Ultimately, smart devices will have plug-and-play capabilities and will be able to self-describe, self-identify, self-discover, and self-organize networks without the need for manual configuration of point tables. This can greatly reduce on-site debugging and maintenance workload, lower construction and operation costs, and at the same time support efficient real-time information interaction for coordinated control of distributed resources, bringing direct benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 The conceptual composition of logical devices and logical nodes for distributed energy;

[0042] Figure 2 A method for integrating the IEC 61850 model of distributed resource access intelligent devices with the IEC CIM model of the master station system. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only embodiments of a part of the present invention, rather than all embodiments. Based on the spirit of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the protection scope of the present invention.

[0044] Embodiment 1 of the present invention proposes a distributed resource information modeling method for local coordinated control of an active distribution network, comprising:

[0045] Based on IEC61850, a distributed resource information model for access to intelligent devices is constructed to obtain a distributed resource information IEC61850 model;

[0046] Expand the IECCIM model of distributed resources on the master station side to obtain the expanded IECCIM model of the master station system;

[0047] The distributed resource information IEC61850 model and the extended master station system IECCIM model are integrated to obtain an integrated model;

[0048] According to the fusion model, the data of the distributed resource information IEC61850 model and the master station system IECCIM model are mapped to realize the data interaction between the distributed energy system and the power system.

[0049] Preferably, preferably, the distributed resource information model of the access intelligent device is constructed based on IEC61850 to obtain the distributed resource information IEC61850 model, specifically:

[0050] Establishing an IEC61850 model of an intelligent device IED, wherein the process of establishing the IEC61850 model of an intelligent device IED is: defining model data types of different intelligent device IEDs, selecting corresponding ACSI services for the intelligent device IEDs, configuring ACSI control block attributes, and completing modeling of physical devices, servers, logical devices LD, and logical nodes LN of each intelligent device IED;

[0051] Construct a distributed resource information model of a distributed energy architecture consisting of distributed energy units, a single distributed energy system, and a local distributed energy system connected to the load.

[0052] It should be noted that the distributed energy architecture is divided into distributed energy units, distributed energy systems, local distributed energy systems, local power systems, and power systems. The distributed energy architecture is constructed based on the hierarchical characteristics of the electrical contacts of the power system. Multiple groups of distributed energy units of the same type can be connected to the local busbar through electrical contacts to form a distributed energy system; multiple distributed energy systems are connected to the local power system through electrical contacts, and the connected loads can form a local distributed energy system; the local power system plus the local load are connected to the power system through an electrical contact.

[0053] Preferably, if Figure 1 As shown, a distributed resource information model is constructed, including:

[0054] Establishing a logical node of a distributed energy architecture, wherein the logical node refers to a logical node corresponding to a logical device to which an IED device of an electrical connection point in the distributed energy architecture belongs, and the logical node specifies common characteristics, operating characteristics, operating control authority and operating mode of the corresponding IED device;

[0055] Modeling of different types of distributed energy systems, including photovoltaic systems, energy storage systems, electric vehicles, and flexible loads;

[0056] Based on the topological relationship of distributed energy architecture, the IEC61850 model of intelligent device IED, the logical node of distributed energy architecture and different types of distributed energy system models are combined to obtain the distributed resource information IEC61850 model.

[0057] It should be noted that the IED device is a device object formed by modeling an intelligent device. The data class of the device object is divided into four levels: server, LD logical device, LN logical point, and DO data object; the server represents a functional node, which can provide data or allow other functional nodes to access its resources; the LD logical device is a virtual device that aggregates logical nodes and data related to intelligent devices; the LN logical point is the smallest unit used to exchange data functions. An LN logical point represents a function in an intelligent device, and data and data attributes belonging to the same functional object are placed in the same LN logical point; the DO data object is a public data class composed of data attributes;

[0058] Each device object contains one or more servers. If the intelligent device is a gateway, the device object contains multiple servers. Otherwise, it only contains one server. Each server contains at least one LD logical device. Each LD logical device contains 3 to n LN logical points, and each server must have at least one access point. The access point is a node used to communicate with substation layer equipment and process layer equipment.

[0059] It should be noted that the logical nodes specifically include: logical nodes corresponding to logical devices involved in the electrical connection points of the distributed energy system: for example, common characteristics DCRP, operation characteristics DOPR, operation control authority DOPA and operation mode DOPM.

[0060] Logical nodes of the unit controller of the distributed energy system: for example, controller characteristics DRCT, status DRCS, control actions DRCC, active and reactive power measurement MMXU for self-consumption, switch closing and opening CSWI.

[0061] Logical nodes of logical devices involved in the power generation system of the distributed energy system: such as operation DGEN, rated parameters DRAT, advanced characteristics DRAZ, synchronization RSYN and PID regulator.

[0062] Logical nodes of logical devices involved in the excitation unit of the distributed energy system: such as excitation rated parameters DREX and excitation operation DEXC.

[0063] Logical node of the speed / frequency controller of the distributed energy system: for example, the speed / frequency controller DSFC.

[0064] Logical nodes of the inverter / converter of the distributed energy system: for example, rectifier ZRCT, inverter ZINV, nameplate data DRAT of the inverter, intermediate-level DC measurement MMDC, input-level AC measurement MMXU, output-level AC measurement MMXU and group cooling control CCGR for cooling fans.

[0065] Logical nodes of the fuel cell of the distributed energy system: for example, the fuel cell controller characteristic DFCL, the fuel cell stack DSTK, the fuel processing module DFPM and the fuel characteristic MFUL.

[0066] Logical nodes of logical devices involved in the photovoltaic system of the distributed energy system: such as the photovoltaic module rated parameters DPVM, photovoltaic array characteristics DPVA and photovoltaic array controller DPVC.

[0067] Logical nodes of the logical devices involved in the combined heat and power unit of the distributed energy system: for example, the controller DCHC, the combined heat and power thermal storage DCTS and the cooling system CCGR.

[0068] Logical nodes of logical devices involved in the generation protection unit between the distributed energy system and the power system: for example, the basic logical node of relay protection PBRO, relay protection timing PBTC, low frequency protection PTUF and high frequency protection PTOF.

[0069] The logical nodes of the distributed energy system used in this embodiment are shown in Table 1.

[0070] Table 1: Logical nodes of a DER system

[0071]

[0072]

[0073] It should be noted that the photovoltaic system modeling is specifically: distributed generation systems such as photovoltaic systems and wind power systems are effectively organized with energy storage units and loads, and can operate autonomously or be connected to the grid through static switches. In order for the photovoltaic system to operate automatically, the photovoltaic system modeling requires the following functions. ① Switchgear operation: the function of controlling and monitoring circuit breakers and isolation devices. ② Protection: the function of protecting power equipment and personal safety in the event of a fault. Many photovoltaic systems also require a special function of "DC ground fault protection" to reduce fire hazards and provide power surge protection. ③ Measurement and metering: the function of obtaining electrical measurements such as voltage and current. ④ DC to AC conversion: the function used to control and monitor inverters. ⑤ Array operation: the function of maximizing the output power of the array. Including adjusting the array current and voltage levels to obtain the maximum power point MPP, and manipulating the tracking system to follow the movement of the sun. ⑥ Island operation: the function of synchronizing the operation of the photovoltaic system and the power system. Contains the anti-island operation requirements mentioned in the interconnection standard. ⑦ Energy storage: the function of storing excess electrical energy generated by the system. In small photovoltaic systems, batteries are usually used to store energy, while in larger photovoltaic systems, compressed air or other methods can be used. ⑧ Meteorological monitoring: The function of obtaining meteorological measurements such as solar radiation and ambient temperature. In addition to the logical nodes required for distributed energy management, photovoltaic system modeling can also include the logical nodes shown in Table 2.

[0074] Table 2: Logical nodes of photovoltaic system

[0075]

[0076] It should be noted that the energy storage system modeling is specifically as follows: the electric energy storage system EESS constructed by the energy storage system modeling is a system for intermediate storage of electric energy; the data objects of EESS include:

[0077] 1) Data objects that are not related to the type of energy storage technology, such as charge state, maximum storage energy, charge and discharge round-trip efficiency, self-discharge rate, and capacity degradation rate.

[0078] 2) Data object of a specific energy storage type; in this embodiment, the data object is battery-type energy storage.

[0079] In addition to the logical nodes required for distributed energy management, energy storage system modeling can also include the logical nodes shown in Table 3.

[0080] Table 3: Energy storage system logical nodes

[0081]

[0082]

[0083] It should be noted that the electric vehicle modeling is specifically as follows:

[0084] Model the electric vehicle charging system from AC to DC charging. The electric vehicle can contain the following logical nodes: MMXU, MMTR, ZCAB, ZSAR, XCBR, FSCH, XSWI, DEAO, DEDO, DESE, DEEV, FUSE (DC charging system), XFUS (DC charging system).

[0085] It should be noted that the flexible load modeling is specifically as follows:

[0086] The flexible load modeling is the modeling of SVG. SVG is a typical power electronic device, which consists of three basic functional modules: detection module, control operation module and compensation output module. Its working principle is that the detection module performs detection, and then the control chip analyzes the current current information; then the controller gives the compensation drive signal, and finally the inverter circuit composed of the power electronic inverter circuit sends out the compensation current.

[0087] Preferably, the IECCIM model of the distributed resources is expanded on the master station side to obtain the expanded IECCIM model of the master station system, which is specifically:

[0088] The power system resources in the IECCIM model of the original master station system are expanded to the distributed resource class, and the power electronic access class and generator access class are expanded according to the different distributed energy access modes;

[0089] For the extended distributed resource class, the attributes and attribute values ​​of the model are added respectively.

[0090] Specifically, this embodiment expands the power electronics access category to include battery category, distributed photovoltaic category, and inverter access wind power category; the generator access category expands the photovoltaic power station category, wind power station category, and cogeneration category.

[0091] Preferably, if Figure 2 As shown, the distributed resource information IEC61850 model and the extended master station system IECCIM model are integrated to obtain a fusion model, which is specifically:

[0092] For the parts missing from the distributed resource information IEC61850 model and the expanded master station system IECCIM model, new models are added according to their own modeling rules; the master station system IECCIM model lacks a secondary equipment model, which includes a relay protection device and a measurement and control device, and adds protection, communication, control, and acquisition models to the intelligent electronic device IED in the master station system IECCIM model; the IEC 61850 model lacks a description object for the overall operation of the power enterprise, which includes power system resources PSR and power system assets Asset;

[0093] The model parts common to the distributed resource information IEC61850 model and the extended master station system IECCIM model are associated; the model parts common to the distributed resource information IEC61850 model and the extended master station system IECCIM model are the equipment in the power system, and the equipment includes transformers, switches, lines, etc., and these devices are modeled.

[0094] Select objects that are better described by the distributed resource information IEC61850 model; modify the objects corresponding to the extended master station system IECCIM model according to the modeling rules of the IECCIM model based on the IEC61850 standard; Select objects that are better described by the extended master station system IECCIM model; modify the objects corresponding to the distributed resource information IEC61850 model according to the modeling rules of the IEC61850 model based on the IECCIM standard;

[0095] The parts that are not included in the distributed resource information IEC61850 model and the extended master station system IECCIM model are expanded according to their own modeling rules.

[0096] Preferably, the objects that are better described by the distributed resource information IEC61850 model are power system resources; and the objects that are better described by the extended master station system IECCIM model are objects that require data exchange and interoperability.

[0097] Preferably, the parts that are not included in the distributed resource information IEC61850 model and the expanded master station system IECCIM model are expanded according to their own modeling rules, specifically:

[0098] The equipment models, measurement models and communication protocols corresponding to the technologies of distributed energy, microgrids and electric vehicles in active distribution networks, which are not included in the distributed resource information IEC61850 model and the extended master station system IECCIM model, are expanded.

[0099] Preferably, the data of the distributed resource information IEC61850 model and the master station system IECCIM model are mapped according to the fusion model to realize data interaction between the distributed energy system and the power system, specifically:

[0100] Select the corresponding ACSI service from the IEC 61850 standard, and map the request / response service, request / non-response service, distributed general substation event, and distributed sampling measurement value group setting control in the ACSI service to the DDS topic; establish communication with the IED device that maps the IEC 61850 or CIM standard with DDS;

[0101] Based on the standardized service description language IDL, the feeder groups and substations in the IECCIM model of the master station system are mapped to the DDS domain.

[0102] Preferably, the construction and DDS mapping IEC 61850 or CIM standard IED device communication, specifically:

[0103] Define the domain name of the IED communication data space to determine the communication scope of the IED; define the subject of communication of the IED in its communication data space; create an IDL file to define the data structure to be communicated; use software middleware that complies with the DDS communication specification to convert the IDL to a program development language; modify the variable assignment and communication frequency of specific communication data as required; design and modify the QoS configuration file as required to establish a service quality strategy that meets the requirements of the IED.

[0104] Embodiment 2 of the present invention proposes a distributed resource information modeling system for local coordinated control of an active distribution network using the method described in Embodiment 1 of the present invention, including an IEC61850 model building module, an IECCIM model building module, a model fusion module, and a data interaction module, specifically:

[0105] IEC61850 model building module: used to build a distributed resource information model for accessing intelligent devices based on IEC61850 to obtain a distributed resource information IEC61850 model;

[0106] IECCIM model building module: used to expand the IECCIM model of distributed resources on the master station side to obtain the expanded IECCIM model of the master station system;

[0107] Model fusion module: used to fuse the distributed resource information IEC61850 model and the expanded master station system IECCIM model to obtain a fusion model;

[0108] Data interaction module: used to map the data of the distributed resource information IEC61850 model and the master station system IECCIM model according to the fusion model, so as to realize the data interaction between the distributed energy system and the power system.

[0109] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A distributed resource information modeling method for local coordinated control of active distribution networks, characterized in that: include: Based on IEC61850, a distributed resource information model for access to intelligent devices is constructed to obtain a distributed resource information IEC61850 model; Expand the IECCIM model of distributed resources on the master station side to obtain the expanded IECCIM model of the master station system; The distributed resource information IEC61850 model and the extended master station system IECCIM model are integrated to obtain an integrated model; According to the fusion model, the data of the distributed resource information IEC61850 model and the master station system IECCIM model are mapped to realize data interaction between the distributed energy system and the power system.

2. The distributed resource information modeling method for local coordinated control of active distribution network according to claim 1 is characterized by: The distributed resource information model of the access intelligent device is constructed based on IEC61850 to obtain the distributed resource information IEC61850 model, which is specifically: Establishing an IEC61850 model of an intelligent device IED, wherein the process of establishing the IEC61850 model of an intelligent device IED is: defining model data types of different intelligent device IEDs, selecting corresponding ACSI services for the intelligent device IEDs, configuring ACSI control block attributes, and completing modeling of physical devices, servers, logical devices LD, and logical nodes LN of each intelligent device IED; Construct a distributed resource information model of a distributed energy architecture consisting of distributed energy units, a single distributed energy system, and a local distributed energy system connected to the load.

3. The distributed resource information modeling method for local coordinated control of active distribution network according to claim 2 is characterized in that: Construct a distributed resource information model, including: Establishing a logical node of a distributed energy architecture, wherein the logical node refers to a logical node corresponding to a logical device to which an IED device of an electrical connection point in the distributed energy architecture belongs, and the logical node specifies common characteristics, operating characteristics, operating control authority and operating mode of the corresponding IED device; Modeling of different types of distributed energy systems, including photovoltaic systems, energy storage systems, electric vehicles, and flexible loads; Based on the topological relationship of distributed energy architecture, the IEC61850 model of intelligent device IED, the logical node of distributed energy architecture and different types of distributed energy system models are combined to obtain the distributed resource information IEC61850 model.

4. The distributed resource information modeling method for local coordinated control of active distribution network according to claim 1, characterized in that: The IECCIM model of distributed resources is expanded on the master station side to obtain the expanded IECCIM model of the master station system, which is specifically: The power system resources in the IECCIM model of the original master station system are expanded to the distributed resource class, and the power electronic access class and generator access class are expanded according to the different distributed energy access modes; For the extended distributed resource class, the attributes and attribute values ​​of the model are added respectively.

5. The distributed resource information modeling method for local coordinated control of an active distribution network according to claim 4 is characterized in that: The distributed resource information IEC61850 model and the expanded master station system IECCIM model are integrated to obtain a fusion model, which is specifically: For the parts missing from the distributed resource information IEC61850 model and the expanded master station system IECCIM model, new models are added according to their own modeling rules; the master station system IECCIM model lacks a secondary equipment model, which includes a relay protection device and a measurement and control device, and adds protection, communication, control, and acquisition models to the intelligent electronic device IED in the master station system IECCIM model; the IEC 61850 model lacks a description object for the overall operation of the power enterprise, which includes power system resources PSR and power system assets Asset; Associating the model parts common to the distributed resource information IEC61850 model and the extended master station system IECCIM model; the model parts common to the distributed resource information IEC61850 model and the extended master station system IECCIM model are devices in the power system, including transformers, switches, lines, etc., and modeling these devices; Select objects that are better described by the distributed resource information IEC61850 model; modify the objects corresponding to the extended master station system IECCIM model according to the modeling rules of the IECCIM model based on the IEC61850 standard; Select objects that are better described by the extended master station system IECCIM model; modify the objects corresponding to the distributed resource information IEC61850 model according to the modeling rules of the IEC61850 model based on the IECCIM standard; The parts that are not included in the distributed resource information IEC61850 model and the extended master station system IECCIM model are expanded according to their own modeling rules.

6. The distributed resource information modeling method for local coordinated control of an active distribution network according to claim 5 is characterized in that: The objects that are better described by the distributed resource information IEC61850 model are power system resources; and the objects that are better described by the extended master station system IECCIM model are objects that require data exchange and interoperability.

7. The distributed resource information modeling method for local coordinated control of an active distribution network according to claim 5, characterized in that: The parts that are not included in the distributed resource information IEC61850 model and the expanded master station system IECCIM model are expanded according to their own modeling rules, specifically: The equipment models, measurement models and communication protocols corresponding to the technologies of distributed energy, microgrids and electric vehicles in active distribution networks, which are not included in the distributed resource information IEC61850 model and the extended master station system IECCIM model, are expanded.

8. The distributed resource information modeling method for local coordinated control of an active distribution network according to claim 1, characterized in that: The data of the distributed resource information IEC61850 model and the master station system IECCIM model are mapped according to the fusion model to realize the data interaction between the distributed energy system and the power system, specifically: Select the corresponding ACSI service from the IEC 61850 standard, and map the request / response service, request / non-response service, distributed general substation event, and distributed sampling measurement value group setting control in the ACSI service to the DDS topic; build IED device communication based on DDS mapping IEC 61850 or CIM standard; Based on the standardized service description language IDL, the feeder groups and substations in the IECCIM model of the master station system are mapped to the DDS domain.

9. The distributed resource information modeling method for local coordinated control of an active distribution network according to claim 8, characterized in that: The IED device communication based on DDS mapping IEC 61850 or CIM standard is specifically: Define the domain name of the IED communication data space to determine the communication scope of the IED; define the subject of communication of the IED in its communication data space; create an IDL file to define the data structure to be communicated; use software middleware that complies with the DDS communication specification to convert the IDL to a program development language; modify the variable assignment and communication frequency of specific communication data as required; design and modify the QoS configuration file as required to establish a service quality strategy that meets the requirements of the IED.

10. A distributed resource information modeling system for local coordinated control of an active distribution network using the method according to any one of claims 1 to 9, comprising an IEC61850 model building module, an IECCIM model building module, a model fusion module, and a data interaction module, characterized in that: IEC61850 model building module: used to build a distributed resource information model for accessing intelligent devices based on IEC61850 to obtain a distributed resource information IEC61850 model; IECCIM model building module: used to expand the IECCIM model of distributed resources on the master station side to obtain the expanded IECCIM model of the master station system; Model fusion module: used to fuse the distributed resource information IEC61850 model and the expanded master station system IECCIM model to obtain a fusion model; Data interaction module: used to map the data of the distributed resource information IEC61850 model and the master station system IECCIM model according to the fusion model, so as to realize data interaction between the distributed energy system and the power system.

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