Novel power system oriented polymorphic fusion operation standard library management method, equipment and medium

Abstract

The invention relates to a polymorphic fusion operation standard library management method and device for a novel power system, and a medium. The method comprises the following steps: obtaining, screening and classifying standard data related to polymorphic fusion operation of the novel power system; constructing a standard knowledge graph based on the classified standard data, and performing standard gap prediction by using a double-path time sequence model in combination with the obtained technical evolution data; performing standard supplement and improvement based on the predicted standard gap, and constructing a polymorphic fusion operation standard library after verification; and updating the obtained standard data regularly, and performing dynamic management on the polymorphic fusion operation standard library. Compared with the prior art, the method has the advantages of accurate standard gap prediction, capability of realizing dynamic management of the standard library and the like.

Description

Technical Field

[0001] This invention relates to the field of standard library management technology, and in particular to a method, equipment and medium for managing a multi-state integrated operation standard library for new power systems. Background Technology

[0002] Currently, the new power system, characterized by a high proportion of renewable energy and high proportion of power electronic equipment, has become the core carrier of energy transformation. Its operation mode exhibits multi-state integration features, including collaboration among multiple entities such as power generation, grid, load, and storage; AC / DC hybrid interconnection; multi-energy coupling; and dynamic switching of operating states. This multi-state integrated operation mode breaks the single and stable operating logic of the traditional power system and poses revolutionary requirements for the standardized management of the entire chain of power production, transmission, distribution, and consumption. The standard library, as the core support for standardizing technology applications, ensuring the safe and stable operation of the system, and promoting multi-entity collaboration, directly determines the operating efficiency and safety boundaries of the new power system through its completeness, forward-looking nature, and dynamic adaptability.

[0003] Currently, a preliminary standard system for the power system has been established. However, the standard library management for multi-mode integrated operation scenarios lacks an effective automatic standard gap identification scheme, which is difficult to match the development needs of new power systems. The specific problems are as follows: The technological evolution of new power systems (such as new energy power generation technology, power electronics technology, and digital twin technology) and changes in operation mode (such as high proportion of new energy fluctuations and source-grid-load-storage interaction) both have significant temporal characteristics. However, the existing standard gap identification relies heavily on manual sorting and does not fully combine the technological evolution trend with the spatiotemporal distribution characteristics of the standards themselves.

[0004] Furthermore, existing applications of knowledge graph technology in power standard management primarily focus on constructing static relationships. For instance, Chinese patent CN112231418A discloses a method, apparatus, computer equipment, and storage medium for constructing a power standard knowledge graph. It designs the schema layer of the power standard knowledge graph from top to bottom, combining rules and machine learning algorithms for knowledge extraction and entity linking to construct the power standard knowledge graph, supporting efficient and accurate data search. However, these existing technologies fail to incorporate dynamic information such as standard release dates and technological evolution stages, making them difficult to effectively match the rapidly developing power industry.

[0005] In summary, existing power system standard library management methods cannot meet the needs of multi-state integrated operation of new power systems in terms of gap prediction accuracy and dynamic adaptability. There is an urgent need to build a management method that can realize the systematic organization of standard data, accurate gap prediction, and dynamic iterative updates, so as to provide solid standard support for the safe, stable and efficient operation of new power systems. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the existing technology and provide a method, equipment and medium for managing a multi-state integrated operation standard library for new power systems.

[0007] The objective of this invention can be achieved through the following technical solutions: According to a first aspect of the present invention, a method for managing a multi-state integrated operation standard library for novel power systems is provided, the method comprising the following steps: Acquire and filter standard data related to the multi-mode integrated operation of new power systems; A standard knowledge graph is constructed based on the classified standard data. Combined with the acquired technology evolution data, a dual-path time series model is used to predict the standard gap. The first branch of the dual-path time series model extracts technology evolution time series features based on the technology evolution data, and the second branch extracts standard spatiotemporal features based on the standard knowledge graph. The time series features and standard spatiotemporal features are adaptively fused, and the fused features are mapped to obtain the predicted standard gap. Based on the predicted standard gaps, standards are supplemented and improved, and after verification, a multi-state fusion operation standard library is constructed. Regularly update the acquired standard data and dynamically manage the multi-state fusion operation standard library.

[0008] The classification includes technical field classification and professional classification.

[0009] The construction of a standard knowledge graph based on the classified standard data is as follows: According to the four-level standard system framework of overall layer - domain layer - professional layer - standard item layer, the semantic model is used to identify standard items in the classified standard data and obtain their corresponding technical field classification and professional classification. The standard items are used as nodes, the technical field classification and professional classification corresponding to the standard items are used as node static features, and the relationship between standard items is used as edges to construct a standard knowledge graph.

[0010] The first branch, based on the extraction of technological evolution time-series features from technological evolution data, specifically includes: Key information is extracted from technology evolution data, which includes patent data, paper data, and policy data. The key information includes the number of patent applications, the number of papers published, and the frequency of policy mentions. Calculate heat decay based on the aforementioned key information: , in, For patent attenuation coefficient, The attenuation coefficient of the paper. This is the policy attenuation coefficient. for Patent application volume at any given time for The number of papers published at any given time for Frequency of policy mentions at all times This is the cutoff time for statistical data on technological evolution. The current time; Computing technology maturity: , in, This represents the upper limit of maturity. For the rate of technological growth, For the time of the technology's birth, for The technological maturity at any given moment; Calculate the scene diffusion degree based on the aforementioned heat decay and technology maturity: , in, Bass diffusion coefficient, for Scene diffusion at any given moment; Scene diffusion time sequence Input an LSTM model and output the time-series features of technological evolution.

[0011] The second branch, which extracts standard spatiotemporal features based on standard knowledge graphs, specifically involves: Based on the standard knowledge graph, the static features of nodes and the temporal embedding are concatenated to obtain the dynamic features of each node, wherein the temporal embedding is the embedding vector of the publication time of the standard item corresponding to the node. Calculate the spatiotemporal attention weights based on the aforementioned dynamic features: , in, , They are nodes v i and v j The dynamic characteristics, , For learnable parameters, For nodes v i The set of neighboring nodes, The time decay coefficient, and They are nodes v i and v j Release time, For nodes v i andv j Spatiotemporal attention weights between them; Based on the spatiotemporal attention weights, dynamic features are aggregated to obtain the spatiotemporal features of each node. : , in, It is the sigmoid activation function; The standard spatiotemporal features are obtained by taking the average of the spatiotemporal features of all nodes.

[0012] The adaptive fusion of the temporal features and standard spatiotemporal features specifically involves: A cosine similarity-based gating unit is constructed, and the gating unit is used to fuse temporal features and standard spatiotemporal features: , , in, As a time series feature, As standard spatiotemporal characteristics, Let cosine similarity be the output features of the two branches. , These are learnable parameters for the gating unit. It is the sigmoid activation function. The gating coefficient, This is a feature of fusion.

[0013] The specific steps for mapping the obtained fusion features to obtain the predicted standard gap are as follows: A random forest model is used as a mapper for fused features. The fused features are directly input into the random forest model, and the output is the prediction result with or without gaps.

[0014] The loss function of the dual-path timing model is expressed as: , in, This refers to the batch sample size. For the first i The true label of each sample For the dual-path timing model, the first i The predicted probability of a sample.

[0015] According to a second aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to implement the method described thereon.

[0016] According to a third aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method described thereon.

[0017] Compared with the prior art, the present invention has the following beneficial effects: (1) This invention employs a dual-path temporal model for standard gap prediction. The first path calculates based on heat decay, technology maturity, and scene diffusion, and extracts the temporal features of technology evolution using an LSTM model, thereby dynamically capturing the technology development trend and improving the forward-looking nature of standard gap prediction. The second path constructs dynamic features by splicing static node features with temporal embedding, and extracts standard spatiotemporal features by combining spatiotemporal attention weight calculation and feature aggregation, thereby achieving in-depth mining of the spatiotemporal correlation information of standard items and enhancing the comprehensiveness of feature representation. Furthermore, the temporal features and standard spatiotemporal features are adaptively fused, achieving dynamic adaptation and complementary advantages between the two types of features, improving the ability of the fused features to represent standard gaps. Thus, the fused features can be accurately mapped to standard gaps through a mapping network, improving the accuracy of gap prediction.

[0018] (2) This invention combines technology evolution data and standard data, and adopts a mechanism of regularly updating standard data and dynamically managing the standard library to realize the full life cycle iterative optimization of the multi-state integrated operation standard library. It can simultaneously track the technology evolution trend and the dynamic evolution of the standard system, ensuring the real-time matching of standard supply with the technological evolution and operational changes of new power systems, so that the multi-state integrated operation standard library can match the rapid development needs of the power industry in real time.

[0019] (3) This invention adopts a standard data screening and classification method that combines technical field classification and professional classification, realizes the systematic sorting of standard data related to the multi-state fusion operation of the new power system, and constructs a standard knowledge graph by combining the four-level standard system framework of overall layer-domain layer-professional layer-standard item layer, realizing the hierarchical association of standard items and accurate characterization of static features, thereby improving the traceability of the association between standard items and the efficiency of query reuse. Attached Figure Description

[0020] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a schematic diagram of a four-level standard system framework in one embodiment: overall layer - domain layer - professional layer - standard item layer. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0022] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0023] Example 1 This embodiment provides a method for managing a multi-state integrated operation standard library for new power systems, such as... Figure 1 As shown, the method includes the following steps: S1: Acquire standard data related to the multi-state integrated operation of the new power system and perform screening and classification.

[0024] First, a systematic review of domestic and international standards related to the multi-mode integrated operation of new urban power systems was conducted, including international standards (such as IEC standards, ISO standards, etc.), national standards (GB, GB / T, etc.), industry standards (DL, NB, etc.), enterprise standards (Q, etc.), and local standards (DB, etc.). The review covered all areas, including technology, operation, management, market, safety, and environment, ensuring the comprehensiveness of the standards review.

[0025] Next, a standards screening process was conducted. Based on the requirements for multi-mode integrated operation of the city's new power system, the identified standards were screened. The screening principles included: close relevance to multi-mode integrated operation; significant guiding significance or mandatory requirements; advanced and reasonable technical content; and good operability. Standards that were not closely related to multi-mode integrated operation, had outdated technical content, or poor operability were eliminated.

[0026] Next, the standards are classified. The selected standards are classified according to a four-level standard system framework: general level - domain level - professional level - standard item level, clarifying the level, domain, and professional direction to which each standard item belongs. For cross-domain and cross-professional standards, the main domain and professional direction to which they belong are determined based on their core content, and other related domains and professional directions are explained in the remarks.

[0027] S2 constructs a standard knowledge graph based on the classified standard data, and combines the acquired technology evolution data to use a dual-path time series model to predict the standard gap.

[0028] S21, Construct a knowledge graph.

[0029] Based on the four-level standard system framework of overall layer-domain layer-professional layer-standard item layer, a semantic model is used to identify standard items in the classified standard data and obtain their corresponding technical field classification and professional classification. Standard items are used as nodes, the technical field classification and professional classification corresponding to the standard items are used as node static features, and the relationship between standard items is used as edges to construct a standard knowledge graph.

[0030] S22, Standard Gap Prediction.

[0031] The first branch of the dual-path time series model extracts time series features of technological evolution based on technological evolution data, and the second branch extracts standard spatiotemporal features based on standard knowledge graphs. The time series features and standard spatiotemporal features are adaptively fused, and the fused features are mapped to obtain the predicted standard gap.

[0032] The first branch, which extracts the time-series features of technological evolution based on technological evolution data, specifically includes the following steps: A1. Extract key information based on technology evolution data, which includes patent data, paper data, and policy data. The key information includes the number of patent applications, the number of papers published, and the frequency of policy mentions. A2, Calculate heat decay based on the aforementioned key information: , in, For patent attenuation coefficient, The attenuation coefficient of the paper. This is the policy attenuation coefficient. for Patent application volume at any given time for The number of papers published at any given time for Frequency of policy mentions at all times This is the cutoff time for statistical data on technological evolution. The current time; A3, Computing Technology Maturity: , in, This represents the upper limit of maturity. For the rate of technological growth, For the time of the technology's birth, for The technological maturity at any given moment; A4, Calculate the scene diffusion degree based on the aforementioned heat decay and technology maturity: , in, Bass diffusion coefficient, for Scene diffusion at any given moment; A5, the time sequence of scene diffusion. Input an LSTM model and output the time-series features of technological evolution.

[0033] The second approach, which extracts standard spatiotemporal features based on standard knowledge graphs, specifically includes the following steps: B1. Based on the standard knowledge graph, the static features of nodes and the time embedding are concatenated to obtain the dynamic features of each node, wherein the time embedding is the embedding vector of the publication time of the standard item corresponding to the node. B3, Calculate the spatiotemporal attention weights based on the aforementioned dynamic features: , in, , They are nodes v i and v j The dynamic characteristics, , For learnable parameters, For nodes v i The set of neighboring nodes, The time decay coefficient, and They are nodes v i and vj Release time, For nodes v i and v j Spatiotemporal attention weights between them; B3, Based on the aforementioned spatiotemporal attention weights, the dynamic features are aggregated to obtain the spatiotemporal features of each node. : , in, It is the sigmoid activation function; B4, the standard spatiotemporal features are obtained by taking the average of the spatiotemporal features of all nodes.

[0034] Subsequently, a cosine similarity-based gating unit is constructed, which is then used to fuse temporal features and standard spatiotemporal features: , , in, As a time series feature, As standard spatiotemporal characteristics, Let cosine similarity be the output features of the two branches. , These are learnable parameters for the gating unit. It is the sigmoid activation function. The gating coefficient, This is a feature of fusion.

[0035] Finally, a random forest model is used as a mapper for the fused features. The fused features are directly input into the random forest model, and the output is the prediction result with or without gaps.

[0036] In this embodiment, the loss function of the dual-path timing model is expressed as: , in, This refers to the batch sample size. For the first i The true label of each sample For the dual-path timing model, the first i The predicted probability of a sample.

[0037] S3 supplements and improves standards based on predicted standard gaps, and after verification, constructs a multi-state fusion operation standard library.

[0038] After predicting whether a standard gap exists in step S2, if so, for the standard gaps in the standard system framework, and considering the needs of multi-mode integrated operation, new standard items are proposed to supplement the standards. The formulation of new standard items should follow the principles of standard system construction, fully draw on the experience of existing standards, and ensure the scientific, reasonable, and operable nature of the new standards. After supplementation, the standards need further improvement, clarifying the standard number, standard name, standard level, scope of application, and main technical content of each standard item. For existing standards, their standard number and name are directly referenced, and the scope of application and main technical content are supplemented and improved; for new standards, the standard number, standard name, standard level, scope of application, and main technical content are proposed.

[0039] If there are no gaps, there is no need to supplement or improve the standards.

[0040] After the standards were supplemented and improved, experts and scholars in power system planning, operation and dispatching, standardization, and integrated energy, as well as key enterprise technical personnel and industry managers, were invited to verify the constructed standard library. The verification included aspects such as the completeness, rationality, scientific validity, and operability of the standard library. Based on expert opinions, the standard library was modified and improved to ensure that it could meet the needs of multi-mode integrated operation of new urban power systems.

[0041] This easily leads to chaotic situations such as "one item, multiple standards" and "one place, one standard." Such chaos not only results in inconsistent standards but also severely hinders the process of multi-mode integration and development. Therefore, the principle of uniformity is particularly important. It requires standardization, simplification, and unified integration of these identical or similar operational elements to ensure the coordination and efficiency of the entire system. Specifically, this uniformity is reflected in the following three dimensions: First, standardization of content is crucial. Technical requirements with similar functions must be merged and optimized to eliminate discrepancies in standards across similar scenarios. For example, safety monitoring indicators and fault diagnosis criteria for various energy storage systems should be standardized to avoid technical confusion and management challenges caused by inconsistent standards.

[0042] Secondly, standardization of identification. Establishing nationally unified standard coding and naming rules ensures that the name and number of the same standard are unique and traceable throughout the entire system. This can fundamentally eliminate confusion and misunderstanding during implementation, improving the accuracy and efficiency of standard implementation.

[0043] Finally, there is the unification of applicable standards. For common operational needs across regions and business models, such as power data exchange formats, equipment access communication protocols, and security assessment methods, nationally applicable unified standards will be developed. By breaking down standard barriers between different power generation companies, grid companies, and electricity consumers, seamless integration and efficient collaboration among all links will be promoted.

[0044] By unifying and integrating these three aspects, we can not only significantly reduce the costs of standard setting, promotion and implementation, but also ensure that various forms of power resources such as wind power, solar power, energy storage and thermal power can achieve efficient and coordinated operation under a unified standard framework, greatly improve the operating efficiency and interoperability of the entire new power system, and lay a solid foundation for the sustainable development of the power system.

[0045] S4 regularly updates the acquired standard data and dynamically manages the multi-state fusion operation standard library.

[0046] In this embodiment, by periodically updating standard data and periodically acquiring technology evolution data, the standard library can be dynamically updated by repeating the above steps S1-S3.

[0047] In addition, a comprehensive evaluation of the standards system can be conducted every 2-3 years, focusing on the applicability, advancement, coordination, and effectiveness of the standards. The evaluation includes whether the standards cover new scenarios and technologies for multi-modal integrated operation, whether the technical requirements are adapted to the current technological level, whether there are conflicts or poor connections between standards, and whether the implementation of the standards has achieved the expected results. Based on the evaluation results, a standards evaluation report is generated, identifying the standards that need to be revised, supplemented, or abolished. Based on the standards tracking report and the evaluation report, the procedures for revising, developing, or abolishing standards are initiated promptly. Standards that are technologically outdated or do not meet development needs are revised promptly; standards that are incomplete or missing are developed according to priority; and standards that have lost their applicability are abolished promptly.

[0048] Example 2 This embodiment, based on Embodiment 1, provides a detailed description of a four-level standard system framework: overall layer, domain layer, professional layer, and standard item layer.

[0049] like Figure 2As shown, the overall layer, serving as the top-level design, clarifies the overall goals, scope of application, and construction logic of the standard system. It covers not only the planning phase of new power systems within urban administrative regions but also multiple stages including construction, operation, management, and maintenance, ensuring seamless integration and efficient operation throughout the entire process. The domain layer comprises five categories: basic general standards, power source-side standards, grid-side standards, load-side standards, and basic support standards. Each category standardizes specific domains and stages. The professional layer further subdivides the domain layer. For example, the professional layer corresponding to the basic general layer includes: standardization guidelines, metering, power quality, various professional technical guidelines, and others. The standard item layer specifically covers the specific standard items under each subsystem, forming a clearly hierarchical and logically rigorous standard system framework, ensuring that each standard has a clear affiliation and positioning.

[0050] (1) Overall level As the top-level design component of the standards system, the overall layer plays a crucial role. It clearly defines the overall objectives of the standards system, aiming to comprehensively support the safety, reliability, economic efficiency, and green low-carbon characteristics of new urban power systems during multi-mode integrated operation. Its scope is broad, covering not only the planning phase of new power systems within urban administrative regions but also multiple stages including construction, operation, management, and maintenance, ensuring seamless integration and efficient operation throughout the entire process.

[0051] (2) Domain layer The domain layer specifies in detail the construction logic of the standard system, among which, Basic general standards serve as the cornerstone of the entire system, providing solid support for other standards. Standards for the power supply side, grid side, and load side constitute the core content of the system, ensuring the coordinated operation of all aspects of the power system. Basic support standards play a safeguarding role, ensuring the integrity and stability of the standard system. This hierarchical and logically clear standard construction approach achieves synergy among various standards, providing comprehensive and multi-dimensional standardized support for the multi-modal integrated operation of urban power systems, and powerfully promoting the sustainable development of the power system.

[0052] (3) Professional level (31) Professional level under basic general standards Basic general standards form the foundation of the entire standards system, providing unified technical guidelines and interface specifications for other subsystems. These standards primarily include four aspects: metrology standards, power quality standards, professional technical guidelines, and other general standards. Metrology standards specify the technical requirements, measurement methods, and data acquisition and transmission specifications for power metering equipment, ensuring the accuracy and uniformity of energy metering in the power system. Power quality standards clarify the limits and testing methods for power quality indicators such as voltage deviation, frequency deviation, harmonics, and three-phase imbalance, guaranteeing the power supply quality of the power system. Professional technical guidelines provide general technical guidance for the design, construction, operation, and maintenance of all aspects of the power system, standardizing the technical behavior of various professions. Other general standards include terminology definitions, symbol identification, and interface specifications, ensuring information exchange and collaborative cooperation between different stages.

[0053] (32) Professional layer under power supply side standard Power supply-side standards focus on key aspects such as grid connection, performance testing, and safety control of various power sources, providing standardized support for the multi-mode integrated operation of power sources. These standards mainly include four aspects: traditional energy standards, new energy standards, energy storage standards, and multi-energy complementarity standards. Traditional energy standards cover the operation control, grid connection technical requirements, performance testing, and maintenance standards for conventional power sources such as thermal power, hydropower, and nuclear power. New energy standards include the grid connection, power prediction, power quality control, and safety protection standards for renewable energy sources such as wind power, photovoltaic power, and biomass energy. Energy storage standards involve the performance indicators, safety requirements, charge and discharge control, grid connection interfaces, and maintenance management standards for various energy storage systems such as electrochemical energy storage and physical energy storage. Multi-energy complementarity standards specify the technical requirements, scheduling strategies, optimization allocation methods, and benefit evaluation standards for the coordinated operation of different energy sources, promoting the complementary utilization of traditional and new energy sources.

[0054] (33) Professional level under power grid side standards Standards governing the power grid encompass planning, design, construction, operation, dispatch control, maintenance, and repair, ensuring the safe and stable operation of the grid and efficient power transmission. These standards primarily include four aspects: transmission and transformation standards, distribution standards, dispatch control standards, and operation and maintenance standards. Transmission and transformation standards cover design specifications, construction standards, equipment selection requirements, operation and maintenance technical specifications, and safety protection standards for transmission lines and substations. Distribution standards include planning and design standards for distribution networks, equipment technical requirements, automation technical specifications, fault handling procedures, and reliability evaluation standards. Dispatch control standards involve dispatch management rules, control strategies, communication technical requirements, dispatch automation system technical standards, and situational awareness and fault diagnosis standards for power systems. Operation and maintenance standards specify operation and maintenance procedures, inspection and testing methods, condition assessment standards, and life prediction technologies for power equipment, ensuring the healthy operation of grid equipment.

[0055] (34) Professional level under load-side standard Load-side standards regulate load-side electricity consumption behavior, demand response, and aggregated operation, promoting the optimal allocation and efficient utilization of load resources. These standards primarily encompass three aspects: user service standards, demand response standards, and aggregation entity standards. User service standards cover business management regulations, computing-electricity collaborative technology requirements, user power supply guarantee standards, and service quality evaluation standards, improving the quality and efficiency of electricity services. Demand response standards include technical requirements, incentive mechanisms, implementation procedures, and effectiveness evaluation standards for demand response, guiding users to actively participate in peak shaving and valley filling in the power system. Aggregation entity standards cover the operation models, technical interface specifications, trading rules, and safety requirements of aggregation entities such as load aggregators, integrated power generation-grid-load-storage projects, and virtual power plants, regulating the market behavior of aggregation entities.

[0056] (35) Professional level under basic support standards The fundamental support standards provide digital, safety, environmental, and management support for the multi-mode integrated operation of new urban power systems. These standards primarily encompass four aspects: digital technology standards, management evaluation standards, safety and environmental standards, and material and equipment standards. Digital technology standards cover digital infrastructure construction standards, enterprise middleware technical specifications, data management and application standards, digital twin technology requirements, and smart grid construction standards, supporting the digital transformation of power systems. Management evaluation standards include information operation management specifications, standard implementation benefit evaluation methods, and power system operation efficiency evaluation standards, standardizing the management processes and evaluation mechanisms of power systems. Safety and environmental standards cover electrical safety, cybersecurity, occupational safety, labor safety, extreme disaster response, emergency response specifications, and environmental emission requirements, ensuring the safe operation and environmental friendliness of power systems. Material and equipment standards specify the technical requirements, quality standards, testing methods, and service life of materials and equipment used in power systems, ensuring equipment quality and operational reliability.

[0057] (4) Standard Item Layer As the concrete implementation carrier of the standard system, the standard item layer bears the important responsibility of systematically integrating the specific standard items under each subsystem. It not only covers the specific standard items within each subsystem, but also, through meticulous review of existing national, industry, and enterprise standards, closely integrates with the actual needs of urban new power systems in multi-mode integrated operation, identifies and supplements missing standards, thereby constructing a comprehensive and complete standard list. In the standard item planning process, the basic principle of "revising existing standards and developing missing standards" is strictly followed. This principle aims to ensure that the entire standard system not only possesses a high degree of completeness but also demonstrates good applicability in practical applications. For ease of subsequent reference and application, all specific standard items will be listed in detail in a dedicated standard library, enabling relevant personnel and institutions to easily access and use this standard information. The standard item layer will also establish a dynamic update mechanism, regularly assessing the applicability of standards in conjunction with technological advancements and industry development, ensuring the timeliness and forward-looking nature of the standard system. Simultaneously, relying on a standardization information platform, it achieves interconnection and interoperability of standard data, promotes cross-domain and cross-regional collaborative applications, and contributes to the efficient, safe, and green operation of urban new power systems. Through continuous optimization and iteration of the standard item layer, we promote the coordinated interaction of the new urban power system in all aspects of source, grid, load and storage, improve the system's flexibility and anti-disturbance capability, and support the high proportion of renewable energy access and efficient utilization of distributed energy.

[0058] Example 3 The electronic device of this invention includes a central processing unit (CPU), which can perform various appropriate actions and processes according to computer program instructions stored in read-only memory (ROM) or loaded from a storage unit into random access memory (RAM). The RAM may also store various programs and data required for device operation. The CPU, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0059] Multiple components in the device are connected to the I / O interface, including: input units such as keyboards and mice; output units such as various types of displays and speakers; storage units such as disks and optical discs; and communication units such as network interface cards (NICs), modems, and wireless transceivers. The communication unit allows the device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0060] The processing unit executes the various methods and processes described above, such as methods S1 to S4. For example, in some embodiments, methods S1 to S4 may be implemented as computer software programs tangibly contained in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program may be loaded and / or installed on the device via ROM and / or a communication unit. When the computer program is loaded into RAM and executed by the CPU, one or more steps of methods S1 to S4 described above may be performed. Alternatively, in other embodiments, the CPU may be configured to execute methods S1 to S4 by any other suitable means (e.g., by means of firmware).

[0061] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0062] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0063] In the context of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0064] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A management method for a multi-state integrated operation standard library for new power systems, characterized in that, The method includes the following steps: Acquire and filter standard data related to the multi-mode integrated operation of new power systems; A standard knowledge graph is constructed based on the classified standard data. Combined with the acquired technology evolution data, a dual-path time series model is used to predict the standard gap. The first branch of the dual-path time series model extracts technology evolution time series features based on the technology evolution data, and the second branch extracts standard spatiotemporal features based on the standard knowledge graph. The time series features and standard spatiotemporal features are adaptively fused, and the fused features are mapped to obtain the predicted standard gap. Based on the predicted standard gaps, standards are supplemented and improved, and after verification, a multi-state fusion operation standard library is constructed. Regularly update the acquired standard data and dynamically manage the multi-state fusion operation standard library.

2. The method for managing a multi-state integrated operation standard library for a new type of power system according to claim 1, characterized in that, The classification includes technical field classification and professional classification.

3. The method for managing a multi-state integrated operation standard library for a new type of power system according to claim 2, characterized in that, The construction of a standard knowledge graph based on the classified standard data is as follows: According to the four-level standard system framework of overall layer - domain layer - professional layer - standard item layer, the semantic model is used to identify standard items in the classified standard data and obtain their corresponding technical field classification and professional classification. The standard items are used as nodes, the technical field classification and professional classification corresponding to the standard items are used as node static features, and the relationship between standard items is used as edges to construct a standard knowledge graph.

4. The method for managing a multi-state integrated operation standard library for a new type of power system according to claim 1, characterized in that, The first branch, based on the extraction of technological evolution time-series features from technological evolution data, specifically includes: Key information is extracted from technology evolution data, which includes patent data, paper data, and policy data. The key information includes the number of patent applications, the number of papers published, and the frequency of policy mentions. Calculate heat decay based on the aforementioned key information: ， in, For patent attenuation coefficient, The attenuation coefficient of the paper. This is the policy attenuation coefficient. for Patent application volume at any given time for The number of papers published at any given time for Frequency of policy mentions at all times The cutoff time for statistical data on technological evolution. The current time; Computing technology maturity: ， in, This represents the upper limit of maturity. For the rate of technological growth, For the time of the technology's birth, for The technological maturity at any given moment; Calculate the scene diffusion degree based on the aforementioned heat decay and technology maturity: ， in, Bass diffusion coefficient, for Scene diffusion at any given moment; Time series of scene diffusion Input an LSTM model and output the time-series features of technological evolution.

5. The method for managing a multi-state integrated operation standard library for a new type of power system according to claim 1, characterized in that, The second branch, which extracts standard spatiotemporal features based on standard knowledge graphs, specifically involves: Based on the standard knowledge graph, the static features of nodes and the temporal embedding are concatenated to obtain the dynamic features of each node, wherein the temporal embedding is the embedding vector of the publication time of the standard item corresponding to the node. Calculate the spatiotemporal attention weights based on the aforementioned dynamic features: ， in, , They are nodes v i and v j The dynamic characteristics, , For learnable parameters, For nodes v i The set of neighboring nodes, The time decay coefficient, and They are nodes v i and v j Release time, For nodes v i and v j Spatiotemporal attention weights between them; Based on the spatiotemporal attention weights, dynamic features are aggregated to obtain the spatiotemporal features of each node. : ， in, It is the sigmoid activation function; The standard spatiotemporal features are obtained by taking the average of the spatiotemporal features of all nodes.

6. The method for managing a multi-state integrated operation standard library for a new type of power system according to claim 1, characterized in that, The adaptive fusion of the temporal features and standard spatiotemporal features specifically involves: A cosine similarity-based gating unit is constructed, and the gating unit is used to fuse temporal features and standard spatiotemporal features: ， ， in, As a time series feature, As standard spatiotemporal characteristics, Let cosine similarity be the output features of the two branches. , These are learnable parameters for the gating unit. It is the sigmoid activation function. The gating coefficient, This is a feature of fusion.

7. The method for managing a multi-state integrated operation standard library for a new type of power system according to claim 1, characterized in that, The specific steps involved in mapping the obtained fusion features to obtain the predicted standard gap are as follows: A random forest model is used as a mapper for fused features. The fused features are directly input into the random forest model, and the output is the prediction result with or without gaps.

8. The method for managing a multi-state integrated operation standard library for a new type of power system according to claim 1, characterized in that, The loss function of the dual-path timing model is expressed as: ， in, This refers to the batch sample size. For the first i The true label of each sample For the dual-path timing model, the first i The predicted probability of a sample.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 8.

Images