CN116108596A - A fast evaluation method for distribution network reliability in power system - Google Patents
A fast evaluation method for distribution network reliability in power system Download PDFInfo
- Publication number
- CN116108596A CN116108596A CN202211589635.0A CN202211589635A CN116108596A CN 116108596 A CN116108596 A CN 116108596A CN 202211589635 A CN202211589635 A CN 202211589635A CN 116108596 A CN116108596 A CN 116108596A
- Authority
- CN
- China
- Prior art keywords
- reliability
- distribution network
- power
- data
- power system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 59
- 238000000034 method Methods 0.000 claims abstract description 23
- 238000004364 calculation method Methods 0.000 claims abstract description 21
- 238000005516 engineering process Methods 0.000 claims abstract description 21
- 230000010354 integration Effects 0.000 claims abstract description 12
- 238000012512 characterization method Methods 0.000 claims abstract 2
- 238000004088 simulation Methods 0.000 claims description 15
- 238000007726 management method Methods 0.000 claims description 13
- 230000000007 visual effect Effects 0.000 claims description 13
- 230000000694 effects Effects 0.000 claims description 5
- 230000004927 fusion Effects 0.000 claims description 5
- 238000011161 development Methods 0.000 claims description 4
- 230000003993 interaction Effects 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000011144 upstream manufacturing Methods 0.000 claims description 4
- 238000012800 visualization Methods 0.000 claims description 4
- 238000003032 molecular docking Methods 0.000 claims description 3
- 230000035515 penetration Effects 0.000 claims 1
- 238000011002 quantification Methods 0.000 claims 1
- 238000000605 extraction Methods 0.000 abstract description 5
- 238000004458 analytical method Methods 0.000 description 7
- 238000007689 inspection Methods 0.000 description 4
- 238000013075 data extraction Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 230000011218 segmentation Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000005538 encapsulation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000013210 evaluation model Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Geometry (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Computer Networks & Wireless Communication (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
Description
技术领域technical field
本发明涉及可靠性评估技术领域,尤其涉及一种电力系统中配电网可靠性快速评估方法。The invention relates to the technical field of reliability evaluation, in particular to a method for rapidly evaluating the reliability of a distribution network in a power system.
背景技术Background technique
配电系统可靠性,是对已运行的配电网,或是新设计的配电网,在所用线路设备的情况下的供电可靠性作出评价,以此来判定该配电网供电可靠性的优劣。通过对配电网可靠性的评估,可以确定出预安排停电、变电站全停、故障停电,对供电可靠性的影响,并以此来确定提高供电可靠性的技术措施和寻求提高供电可靠性的管理方法。The reliability of the power distribution system is to evaluate the power supply reliability of the distribution network that has been in operation or the newly designed distribution network under the condition of the line equipment used, so as to determine the reliability of the power supply of the distribution network. Pros and cons. Through the evaluation of the reliability of the distribution network, it is possible to determine the impact of pre-arranged power outages, total substation outages, and fault power outages on the reliability of power supply, and to determine technical measures to improve power supply reliability and to seek ways to improve power supply reliability. Management method.
公开号为CN102013085B的授权发明公开了配电网可靠性评价方法,将配电网可靠性评价理论与实际电网结合起来,将配电网可靠性的评价转换为对配电网停电因素的分析并建立起配电网可靠性评价体系、评价模型、评价标准和评价指标权重,从多个角度定量反映配电网当前的可靠性水平。The authorized invention with the publication number CN102013085B discloses a distribution network reliability evaluation method, which combines the distribution network reliability evaluation theory with the actual power grid, converts the distribution network reliability evaluation into the analysis of distribution network outage factors and The distribution network reliability evaluation system, evaluation model, evaluation criteria and evaluation index weights are established to quantitatively reflect the current reliability level of the distribution network from multiple perspectives.
公开号为CN113689119A的公开发明公开了基于数字孪生的配电网供电可靠性评价方法、设备及介质,该方法获取配电线路的基础数据和配电线路首末端运行数据;基于数字孪生技术以及所述基础数据和运行数据,构建数字孪生电网,获取配电线路的配电网可靠性指标分数。The public invention with the publication number CN113689119A discloses a distribution network power supply reliability evaluation method, equipment and medium based on digital twins. Based on the above basic data and operation data, a digital twin power grid is built to obtain the distribution network reliability index score of the distribution line.
但是上述技术方案存在以下缺陷:上述发明公开了采用不同技术手段对配电网的供电店里系统的可靠性评估方法,上述方法均基于单一配电线路的基础数据,而在实际电力系统使用中,配电网通常依托物理应用系统,在特定领域与配电设备的系统软件进行适配,不同的配电设备底层软件差异较大,应用层次参差不齐,不利于电力系统配电网数据的统一抽取及应用。同时数据库的信息系统间数据共享困难,接口难统一,物联网和信息化的融合仍有缺陷,容易造成数据管理资源的浪费。However, the above-mentioned technical solution has the following defects: the above-mentioned invention discloses a method for evaluating the reliability of the power supply system of the distribution network by using different technical means. , the distribution network usually relies on the physical application system to adapt to the system software of the power distribution equipment in a specific field. Unified extraction and application. At the same time, it is difficult to share data between information systems of the database, and the interface is difficult to unify. The integration of the Internet of Things and informatization still has defects, which may easily cause waste of data management resources.
发明内容Contents of the invention
本发明针对背景技术中存在的技术问题,提出一种电力系统中配电网可靠性快速评估方法。Aiming at the technical problems existing in the background technology, the present invention proposes a method for rapidly evaluating the reliability of a distribution network in a power system.
本发明的技术方案:一种电力系统中配电网可靠性快速评估方法,包括如下步骤:The technical solution of the present invention: a method for quickly evaluating the reliability of a distribution network in a power system, comprising the following steps:
S1、将电力系统中的配电网数据库与外部系统数据库进行匹配,实现电力系统与不同应用场合之间的互联互通。S1. Match the distribution network database in the power system with the external system database to realize the interconnection between the power system and different application occasions.
S2、依托数字孪生技术,解决电力系统与不同场景下应用系统之间的竖井限制,建立跨专业跨系统的配电网表征指标体系,从而根据不同应用场景进行区别可靠性评估计算。S2. Relying on digital twin technology, solve the silo constraints between the power system and application systems in different scenarios, and establish a cross-disciplinary and cross-system distribution network representation index system, so as to perform differential reliability evaluation calculations according to different application scenarios.
S3、通过信息可视化技术,赋予配电网表征指标体系图、数、声、影的四维呈现效果。S3. Through information visualization technology, endow the distribution network with four-dimensional presentation effects of graph, number, sound and shadow of the representative index system.
S4、结合四维信息建立电力系统配电网结合特定场景应用系统下的可靠性量化模型。S4. Combining the four-dimensional information to establish a reliability quantitative model of the power system distribution network combined with a specific scenario application system.
S5、结合特定应用系统制定配电网可靠性评估权重指标,依托配电网可靠性评价公式进行仿真计算。S5. Formulate distribution network reliability evaluation weight indicators in combination with specific application systems, and perform simulation calculations based on distribution network reliability evaluation formulas.
S6、将量化模型和计算结果和物理实体的应用系统中的多元传感器数据进行融合对比,获得数字孪生体电力系统中的特定配电网可靠性评估结果。S6. The quantitative model and calculation results are fused and compared with the multi-sensor data in the application system of the physical entity, and the reliability evaluation results of the specific distribution network in the digital twin power system are obtained.
S7、输出物理实体中的配电网可靠性评估结果。S7. Outputting the distribution network reliability evaluation result in the physical entity.
优选的,S1中,贯通内部电力系统和外部应用系统以及上下游资源,提升相应的不同专业数据共享能力,挖掘电网数据价值,实现电力系统与不同专业的互联互通、协同发展。Preferably, in S1, the internal power system, external application system and upstream and downstream resources are connected, the corresponding different professional data sharing capabilities are improved, the value of power grid data is mined, and the interconnection and coordinated development of the power system and different specialties are realized.
优选的,S2中,依托数字孪生技术,打破电力系统与特定应用系统的竖井限制,建立跨专业跨系统的表征指标体系;将电网业务通过业务维度、管理维度、运营维度进行贯通。Preferably, in S2, relying on the digital twin technology, break the silo limitation of the power system and specific application systems, establish a cross-disciplinary and cross-system representation index system; connect the power grid business through the business dimension, management dimension, and operation dimension.
优选的,S3中,通过三维建模、视景仿真、信息集成和可视化交互等技术,提供三维空间信息表达能力,构建一个电网的数字孪生体。Preferably, in S3, through technologies such as 3D modeling, visual simulation, information integration, and visual interaction, the ability to express 3D spatial information is provided, and a digital twin of the power grid is constructed.
优选的,S4中,实现电网的地球、国家、省、市、区域、厂站、重点负荷不同层级的360°全景覆盖;利用海量电网运行数据、设备监测数据,建立可靠性量化模型。Preferably, in S4, 360° panoramic coverage of the earth, country, province, city, region, plant and station, and key load levels of the power grid is realized; a reliability quantitative model is established by using massive power grid operation data and equipment monitoring data.
优选的,S5中,根据现有的可靠性评价公式进行仿真计算,建立数据服务平台,平台具备接口配置能力,对接各类物联数据、信息数据、空间数据及电力系统数据的集成处理能力。Preferably, in S5, simulation calculations are performed according to existing reliability evaluation formulas, and a data service platform is established. The platform has interface configuration capabilities, and integrated processing capabilities for connecting various types of IoT data, information data, spatial data, and power system data.
优选的,S6中,基于数字孪生系统,电力系统从城市、区域、站所、设备到终端进行分层穿透逐级下钻,满足不用场景下的应用需求,构建可管、可视、可追踪、可参观的可靠性评估数据结果。Preferably, in S6, based on the digital twin system, the power system is drilled down step by step from the city, region, station, equipment to the terminal, to meet the application requirements in different scenarios, and to build a manageable, visible, and Tracking and viewing of reliability assessment data results.
优选的,S7中,将本方法应用在城市全景数字孪生体中,协同覆盖电网数据、对象运行、保电线路、天气交通赛程、保障力量、保障工作和指挥协同等的全景保电信息,得到不同系统内部的分级可靠性评价体系模型。Preferably, in S7, this method is applied to the urban panorama digital twin to collaboratively cover the panoramic power conservation information of power grid data, object operation, power conservation lines, weather and traffic schedules, security forces, security work, and command coordination, etc., to obtain A hierarchical reliability evaluation system model within different systems.
优选的,配电网可靠性指标包括供电半径、架空线联络、架空线分段、熔丝支接容量、混合线路、电缆环网节点、合杆线路、开关站自切配置、出线拼仓、薄弱网架、线路截面和负载率;相应的配电网可靠性指标与不用应用系统匹配后,相应得到对应得到匹配应用系统的可靠性指标数据库。Preferably, the distribution network reliability index includes power supply radius, overhead line connection, overhead line segmentation, fuse branch connection capacity, hybrid line, cable ring network node, combined pole line, switch station self-cutting configuration, outlet binning, Weak network frame, line section and load rate; after the corresponding distribution network reliability index is matched with the unused application system, the corresponding reliability index database of the matching application system is obtained.
与现有技术相比,本发明的上述技术方案具有如下有益的技术效果:通过将电力系统和实际应用系统数据库的整合,改变了现有电力系统评估体系以及应用系统体系软件差异较大,应用层次参差不齐,不利于数据的统一抽取及应用的问题,提高了数据拉取的效率,并且改变了信息系统间数据共享困难,接口难统一,物联网和信息化的融合较差的问题。利用三维四维可视化分析方法对可靠性评价体系公式数据进行仿真计算,改变了可靠性二维空间分析的局限性。利用数字孪生技术进行仿真运算,改变了传统的可靠性实时评估故障形态较多,电网业务涵盖环节多,影响范围广,可靠性评估精度易受环境因素影响的问题,本发明所提出的方法对于电网安全稳定运行提出了更高要求。根据特定的应用系统建立店里系统的一对一特定数库,从而解决了现有评估方法调取数据量小,导致的大量数据处于“沉睡状态”,没有发挥作用的缺点,提高了可靠性评估的精度和针对性。Compared with the prior art, the above-mentioned technical solution of the present invention has the following beneficial technical effects: through the integration of the power system and the actual application system database, the existing power system evaluation system and application system software are quite different, and the application The level is uneven, which is not conducive to the unified extraction and application of data, improves the efficiency of data extraction, and changes the difficulty of data sharing between information systems, the difficulty of unifying interfaces, and the poor integration of the Internet of Things and informatization. The three-dimensional and four-dimensional visual analysis method is used to simulate and calculate the formula data of the reliability evaluation system, which changes the limitations of the two-dimensional space analysis of reliability. The use of digital twin technology for simulation calculations has changed the traditional real-time evaluation of reliability. There are many fault forms, the power grid business covers many links, the scope of influence is wide, and the accuracy of reliability evaluation is easily affected by environmental factors. The method proposed in the present invention is for The safe and stable operation of the power grid puts forward higher requirements. According to the specific application system, a one-to-one specific database of the store system is established, thereby solving the shortcomings of the existing evaluation method that the amount of data transferred is small, resulting in a large amount of data being in a "sleeping state" and not functioning, and improving reliability. Accuracy and pertinence of assessments.
附图说明Description of drawings
图1为本发明一种实施例的系统模块示意图。FIG. 1 is a schematic diagram of system modules of an embodiment of the present invention.
具体实施方式Detailed ways
实施例一Embodiment one
如图1所示,本实施例提出的一种电力系统中配电网可靠性快速评估方法,包括如下步骤:As shown in Figure 1, a method for quickly evaluating the reliability of a distribution network in a power system proposed in this embodiment includes the following steps:
S1、将电力系统中的配电网数据库与外部系统数据库进行匹配,实现电力系统与不同应用场合之间的互联互通。S1. Match the distribution network database in the power system with the external system database to realize the interconnection between the power system and different application occasions.
S2、依托数字孪生技术,解决电力系统与不同场景下应用系统之间的竖井限制,建立跨专业跨系统的配电网表征指标体系,从而根据不同应用场景进行区别可靠性评估计算。依托数字孪生技术,打破电力系统与特定应用系统的竖井限制,建立跨专业跨系统的表征指标体系;将电网业务通过业务维度、管理维度、运营维度进行贯通;将分布在不同系统中的数据采用统一标准进行汇总融合呈现,同时与电网运检和调度业务结合,优化智能电网。S2. Relying on digital twin technology, solve the silo constraints between the power system and application systems in different scenarios, and establish a cross-disciplinary and cross-system distribution network representation index system, so as to perform differential reliability evaluation calculations according to different application scenarios. Relying on digital twin technology, break the silo restrictions of power systems and specific application systems, and establish a cross-disciplinary and cross-system representation index system; integrate power grid business through business dimensions, management dimensions, and operation dimensions; use data distributed in different systems Unified standards for summary, fusion and presentation, and at the same time combined with grid operation inspection and dispatching services to optimize smart grids.
S3、通过信息可视化技术,赋予配电网表征指标体系图、数、声、影的四维呈现效果。通过三维建模、视景仿真、信息集成和可视化交互等技术,提供三维空间信息表达能力,构建一个电网的数字孪生体。实现更高效、直观的表达电网中的海量数据,将电网体系可视化、便捷化,辅助电网人员进行业务管理和决策。S3. Through information visualization technology, endow the distribution network with four-dimensional presentation effects of graph, number, sound and shadow of the representative index system. Through technologies such as 3D modeling, visual simulation, information integration and visual interaction, it provides 3D spatial information expression capabilities and builds a digital twin of the power grid. Realize more efficient and intuitive expression of massive data in the power grid, visualize and facilitate the power grid system, and assist power grid personnel in business management and decision-making.
S4、结合四维信息建立电力系统配电网结合特定场景应用系统下的可靠性量化模型。S4中,实现电网的地球、国家、省、市、区域、厂站、重点负荷不同层级的360°全景覆盖;利用海量电网运行数据、设备监测数据,建立可靠性量化模型。实现人员车辆定位、行动轨迹、巡检路线等的可视化追溯及业务信息的历史溯源,构建可视、可查、可管、可溯的三维电网运营管理平台。S4. Combining the four-dimensional information to establish a reliability quantitative model of the power system distribution network combined with a specific scenario application system. In S4, the 360° panorama coverage of different levels of the earth, country, province, city, region, plant and station, and key loads of the power grid is realized; a reliability quantitative model is established by using massive power grid operation data and equipment monitoring data. Realize the visual traceability of personnel and vehicle positioning, action trajectory, inspection route, etc., and the historical traceability of business information, and build a three-dimensional power grid operation and management platform that can be visualized, checked, managed, and traced.
S5、结合特定应用系统制定配电网可靠性评估权重指标,依托配电网可靠性评价公式进行仿真计算。根据现有的可靠性评价公式进行仿真计算,建立数据服务平台,平台具备接口配置能力,对接各类物联数据、信息数据、空间数据及电力系统数据的集成处理能力,可集成各种接口协议。将相关系统功能进行API级的封装与集成调用,形成能力节点服务化,以电力业务视角进行数据服务,满足跨专业数据融合。S5. Formulate distribution network reliability evaluation weight indicators in combination with specific application systems, and perform simulation calculations based on distribution network reliability evaluation formulas. Carry out simulation calculations based on existing reliability evaluation formulas, and establish a data service platform. The platform has interface configuration capabilities, integrated processing capabilities for docking various IoT data, information data, space data, and power system data, and can integrate various interface protocols. . API-level encapsulation and integrated call of relevant system functions are made to form service-oriented capability nodes, and data services are provided from the perspective of power business to meet cross-disciplinary data fusion.
S6、将量化模型和计算结果和物理实体的应用系统中的多元传感器数据进行融合对比,获得数字孪生体电力系统中的特定配电网可靠性评估结果。基于数字孪生系统,电力系统从城市、区域、站所、设备到终端进行分层穿透逐级下钻,满足不用场景下的应用需求,构建可管、可视、可追踪、可参观的可靠性评估数据结果。S6. The quantitative model and calculation results are fused and compared with the multi-sensor data in the application system of the physical entity, and the reliability evaluation results of the specific distribution network in the digital twin power system are obtained. Based on the digital twin system, the power system is drilled down step by step from the city, region, station, equipment to the terminal, to meet the application requirements in different scenarios, and to build a manageable, visible, traceable, and accessible reliable The results of sex assessment data.
S7、输出物理实体中的配电网可靠性评估结果。将本方法应用在城市全景数字孪生体中,协同覆盖电网数据、对象运行、保电线路、天气交通赛程、保障力量、保障工作和指挥协同等的全景保电信息,得到不同系统内部的分级可靠性评价体系模型。S7. Outputting the distribution network reliability evaluation result in the physical entity. Apply this method to the urban panoramic digital twin, and collaboratively cover the panoramic power protection information of power grid data, object operation, power protection lines, weather and traffic schedules, support forces, support work, and command coordination, etc., to obtain hierarchical and reliable information within different systems. model of the evaluation system.
在本实施例中,通过将电力系统和实际应用系统数据库的整合,改变了现有电力系统评估体系以及应用系统体系软件差异较大,应用层次参差不齐,不利于数据的统一抽取及应用的问题,提高了数据拉取的效率,并且改变了信息系统间数据共享困难,接口难统一,物联网和信息化的融合较差的问题。利用三维四维可视化分析方法对可靠性评价体系公式数据进行仿真计算,改变了可靠性二维空间分析的局限性。利用数字孪生技术进行仿真运算,改变了传统的可靠性实时评估故障形态较多,电网业务涵盖环节多,影响范围广,可靠性评估精度易受环境因素影响的问题,本发明所提出的方法对于电网安全稳定运行提出了更高要求。根据特定的应用系统建立店里系统的一对一特定数库,从而解决了现有评估方法调取数据量小,导致的大量数据处于“沉睡状态”,没有发挥作用的缺点,提高了可靠性评估的精度和针对性实施例一,S1中,贯通内部电力系统和外部应用系统以及上下游资源,提升相应的不同专业数据共享能力,挖掘电网数据价值,实现电力系统与不同专业的互联互通、协同发展;对各系统的集中整合管理,为管理者提供全视角管理和综合调度能力,实现电力数据的共享共用和数据决策起到有益帮助。In this embodiment, through the integration of the power system and the actual application system database, the existing power system evaluation system and application system system software are quite different, and the application levels are uneven, which is not conducive to the unified extraction of data and application. The problem has improved the efficiency of data extraction, and changed the problems of difficulty in data sharing between information systems, difficulty in unifying interfaces, and poor integration of the Internet of Things and informatization. The three-dimensional and four-dimensional visual analysis method is used to simulate and calculate the formula data of the reliability evaluation system, which changes the limitations of the two-dimensional space analysis of reliability. The use of digital twin technology for simulation calculations has changed the traditional real-time evaluation of reliability. There are many fault forms, the power grid business covers many links, the scope of influence is wide, and the accuracy of reliability evaluation is easily affected by environmental factors. The method proposed in the present invention is for The safe and stable operation of the power grid puts forward higher requirements. According to the specific application system, a one-to-one specific database of the store system is established, thereby solving the shortcomings of the existing evaluation method that the amount of data transferred is small, resulting in a large amount of data being in a "sleeping state" and not functioning, and improving reliability. Accuracy and pertinence of evaluation Embodiment 1. In S1, the internal power system, external application system and upstream and downstream resources are connected, the corresponding different professional data sharing capabilities are improved, the value of power grid data is mined, and the interconnection between the power system and different specialties is realized. Collaborative development; the centralized and integrated management of each system provides managers with full-view management and comprehensive scheduling capabilities, and realizes the sharing and sharing of power data and data decision-making.
进一步的,配电网可靠性指标包括供电半径、架空线联络、架空线分段、熔丝支接容量、混合线路、电缆环网节点、合杆线路、开关站自切配置、出线拼仓、薄弱网架、线路截面和负载率;相应的配电网可靠性指标与不用应用系统匹配后,相应得到对应得到匹配应用系统的可靠性指标数据库。Further, the distribution network reliability indicators include power supply radius, overhead line connection, overhead line segmentation, fuse branch connection capacity, hybrid lines, cable ring network nodes, combined pole lines, switch station self-cutting configuration, outlet binning, Weak network frame, line section and load rate; after the corresponding distribution network reliability index is matched with the unused application system, the corresponding reliability index database of the matching application system is obtained.
实施例二Embodiment two
如图1所示,本实施例提出的一种电力系统中配电网可靠性快速评估方法,包括如下步骤:As shown in Figure 1, a method for quickly evaluating the reliability of a distribution network in a power system proposed in this embodiment includes the following steps:
S1、将电力系统中的配电网数据库与电动汽车充电数据库进行匹配,实现电力系统与不同应用场合之间的互联互通。实现配电网时变负荷建模和元件寿命可靠性量化计算的结合。S1. Match the distribution network database in the power system with the electric vehicle charging database to realize the interconnection between the power system and different application occasions. Realize the combination of time-varying load modeling of distribution network and quantitative calculation of component life reliability.
S2、依托数字孪生技术,解决电力系统在电动汽车充电下应用系统之间的竖井限制,建立跨专业跨系统的配电网表征指标体系,从而根据不同应用场景进行区别可靠性评估计算。依托数字孪生技术,打破电力系统与特定应用系统的竖井限制,建立跨专业跨系统的表征指标体系;将电网业务通过业务维度、管理维度、运营维度进行贯通;将分布在不同系统中的数据采用统一标准进行汇总融合呈现,同时与电网运检和调度业务结合,优化智能电网。S2. Relying on the digital twin technology, solve the silo limitation between the application systems of the power system under electric vehicle charging, and establish a cross-disciplinary and cross-system distribution network representation index system, so as to perform differential reliability evaluation calculations according to different application scenarios. Relying on digital twin technology, break the silo restrictions of power systems and specific application systems, and establish a cross-disciplinary and cross-system representation index system; integrate power grid business through business dimensions, management dimensions, and operation dimensions; use data distributed in different systems Unified standards for summary, fusion and presentation, and at the same time combined with grid operation inspection and dispatching services to optimize smart grids.
S3、通过信息可视化技术,赋予配电网表征指标体系图、数、声、影的四维呈现效果。通过三维建模、视景仿真、信息集成和可视化交互等技术,提供三维空间信息表达能力,构建一个电网的数字孪生体。实现更高效、直观的表达电网中的海量数据,将电网体系可视化、便捷化,辅助电网人员进行业务管理和决策。S3. Through information visualization technology, endow the distribution network with four-dimensional presentation effects of graph, number, sound and shadow of the representative index system. Through technologies such as 3D modeling, visual simulation, information integration and visual interaction, it provides 3D spatial information expression capabilities and builds a digital twin of the power grid. Realize more efficient and intuitive expression of massive data in the power grid, visualize and facilitate the power grid system, and assist power grid personnel in business management and decision-making.
S4、结合四维信息建立电力系统配电网结合特定场景应用系统下的可靠性量化模型。S4中,实现电网的地球、国家、省、市、区域、厂站、重点负荷不同层级的360°全景覆盖;利用海量电网运行数据、设备监测数据,建立可靠性量化模型。实现人员车辆定位、行动轨迹、巡检路线等的可视化追溯及业务信息的历史溯源,构建可视、可查、可管、可溯的三维电网运营管理平台。S4. Combining the four-dimensional information to establish a reliability quantitative model of the power system distribution network combined with a specific scenario application system. In S4, the 360° panorama coverage of different levels of the earth, country, province, city, region, plant and station, and key loads of the power grid is realized; a reliability quantitative model is established by using massive power grid operation data and equipment monitoring data. Realize the visual traceability of personnel and vehicle positioning, action trajectory, inspection route, etc., and the historical traceability of business information, and build a three-dimensional power grid operation and management platform that can be visualized, checked, managed, and traced.
S5、结合电动汽车充电系统制定配电网可靠性评估权重指标,依托配电网可靠性评价公式进行仿真计算。根据现有的可靠性评价公式进行仿真计算,建立数据服务平台,平台具备接口配置能力,对接各类物联数据、信息数据、空间数据及电力系统数据的集成处理能力,可集成各种接口协议。将相关系统功能进行API级的封装与集成调用,形成能力节点服务化,以电力业务视角进行数据服务,满足跨专业数据融合。S5. Combined with the electric vehicle charging system, formulate the distribution network reliability evaluation weight index, and perform simulation calculations based on the distribution network reliability evaluation formula. Carry out simulation calculations based on existing reliability evaluation formulas, and establish a data service platform. The platform has interface configuration capabilities, integrated processing capabilities for docking various IoT data, information data, space data, and power system data, and can integrate various interface protocols. . API-level encapsulation and integrated call of relevant system functions are made to form service-oriented capability nodes, and data services are provided from the perspective of power business to meet cross-disciplinary data fusion.
S6、将量化模型和计算结果和物理实体的应用系统中的多元传感器数据进行融合对比,获得数字孪生体电力系统中的特定配电网可靠性评估结果。基于数字孪生系统,电力系统从城市、区域、站所、设备到终端进行分层穿透逐级下钻,满足不用场景下的应用需求,构建可管、可视、可追踪、可参观的可靠性评估数据结果。S6. The quantitative model and calculation results are fused and compared with the multi-sensor data in the application system of the physical entity, and the reliability evaluation results of the specific distribution network in the digital twin power system are obtained. Based on the digital twin system, the power system is drilled down step by step from the city, region, station, equipment to the terminal, to meet the application requirements in different scenarios, and to build a manageable, visible, traceable, and accessible reliable The results of sex assessment data.
S7、输出物理实体中的配电网可靠性评估结果。将本方法应用在城市全景数字孪生体中,协同覆盖电网数据、对象运行、保电线路、天气交通赛程、保障力量、保障工作和指挥协同等的全景保电信息,得到不同系统内部的分级可靠性评价体系模型。S7. Outputting the distribution network reliability evaluation result in the physical entity. Apply this method to the urban panoramic digital twin, and collaboratively cover the panoramic power protection information of power grid data, object operation, power protection lines, weather and traffic schedules, support forces, support work, and command coordination, etc., to obtain hierarchical and reliable information within different systems. model of the evaluation system.
在本实施例中,通过将电力系统和实际应用系统数据库的整合,改变了现有电力系统评估体系以及电动汽车充电体系软件差异较大,应用层次参差不齐,不利于数据的统一抽取及应用的问题,提高了数据拉取的效率,并且改变了信息系统间数据共享困难,接口难统一,物联网和信息化的融合较差的问题。利用三维四维可视化分析方法对可靠性评价体系公式数据进行仿真计算,改变了可靠性二维空间分析的局限性。利用数字孪生技术进行仿真运算,改变了传统的可靠性实时评估故障形态较多,电网业务涵盖环节多,影响范围广,可靠性评估精度易受环境因素影响的问题,本发明所提出的方法对于电网安全稳定运行提出了更高要求。根据特定的应用系统建立店里系统的一对一特定数库,从而解决了现有评估方法调取数据量小,导致的大量数据处于“沉睡状态”,没有发挥作用的缺点,提高了可靠性评估的精度和针对性实施例一,S1中,贯通内部电力系统和外部应用系统以及上下游资源,提升相应的不同专业数据共享能力,挖掘电网数据价值,实现电力系统与不同专业的互联互通、协同发展;对各系统的集中整合管理,为管理者提供全视角管理和综合调度能力,实现电力数据的共享共用和数据决策起到有益帮助。In this embodiment, through the integration of the power system and the actual application system database, the existing power system evaluation system and electric vehicle charging system software are quite different, and the application levels are uneven, which is not conducive to the unified extraction and application of data. It improves the efficiency of data extraction, and changes the problems of difficulty in data sharing between information systems, difficulty in unifying interfaces, and poor integration of the Internet of Things and informatization. The three-dimensional and four-dimensional visual analysis method is used to simulate and calculate the formula data of the reliability evaluation system, which changes the limitations of the two-dimensional space analysis of reliability. The use of digital twin technology for simulation calculations has changed the traditional real-time evaluation of reliability. There are many fault forms, the power grid business covers many links, the scope of influence is wide, and the accuracy of reliability evaluation is easily affected by environmental factors. The method proposed in the present invention is for The safe and stable operation of the power grid puts forward higher requirements. According to the specific application system, a one-to-one specific database of the store system is established, thereby solving the shortcomings of the existing evaluation method that the amount of data transferred is small, resulting in a large amount of data being in a "sleeping state" and not functioning, and improving reliability. Accuracy and pertinence of evaluation Embodiment 1. In S1, the internal power system, external application system and upstream and downstream resources are connected, the corresponding different professional data sharing capabilities are improved, the value of power grid data is mined, and the interconnection between the power system and different specialties is realized. Collaborative development; the centralized and integrated management of each system provides managers with full-view management and comprehensive scheduling capabilities, and realizes the sharing and sharing of power data and data decision-making.
进一步的,配电网可靠性指标包括供电半径、架空线联络、架空线分段、熔丝支接容量、混合线路、电缆环网节点、合杆线路、开关站自切配置、出线拼仓、薄弱网架、线路截面和负载率;相应的配电网可靠性指标与不用应用系统匹配后,相应得到对应得到匹配应用系统的可靠性指标数据库。Further, the distribution network reliability indicators include power supply radius, overhead line connection, overhead line segmentation, fuse branch connection capacity, hybrid lines, cable ring network nodes, combined pole lines, switch station self-cutting configuration, outlet binning, Weak network frame, line section and load rate; after the corresponding distribution network reliability index is matched with the unused application system, the corresponding reliability index database of the matching application system is obtained.
应当理解的是,本发明的上述具体实施方式仅仅用于示例性说明或解释本发明的原理,而不构成对本发明的限制。因此,在不偏离本发明的精神和范围的情况下所做的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。此外,本发明所附权利要求旨在涵盖落入所附权利要求范围和边界、或者这种范围和边界的等同形式内的全部变化和修改例。It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and not to limit the present invention. Therefore, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present invention shall fall within the protection scope of the present invention. Furthermore, it is intended that the appended claims of the present invention embrace all changes and modifications that come within the scope and metesques of the appended claims, or equivalents of such scope and metes and bounds.
Claims (9)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211589635.0A CN116108596A (en) | 2022-12-12 | 2022-12-12 | A fast evaluation method for distribution network reliability in power system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211589635.0A CN116108596A (en) | 2022-12-12 | 2022-12-12 | A fast evaluation method for distribution network reliability in power system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116108596A true CN116108596A (en) | 2023-05-12 |
Family
ID=86262152
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211589635.0A Pending CN116108596A (en) | 2022-12-12 | 2022-12-12 | A fast evaluation method for distribution network reliability in power system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116108596A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117200449A (en) * | 2023-09-13 | 2023-12-08 | 国网江苏省电力有限公司南通供电分公司 | A power grid monitoring and management method and system based on multi-dimensional algorithm analysis |
-
2022
- 2022-12-12 CN CN202211589635.0A patent/CN116108596A/en active Pending
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117200449A (en) * | 2023-09-13 | 2023-12-08 | 国网江苏省电力有限公司南通供电分公司 | A power grid monitoring and management method and system based on multi-dimensional algorithm analysis |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104124756B (en) | A kind of provincial power distribution network operation monitoring system based on whole network data | |
CN106815647A (en) | A kind of high efficiency distribution network failure repairing system and method based on data analysis | |
CN105574652A (en) | Planning big data management and control system of smart power distribution network and method | |
CN113902605A (en) | Smart park operation and maintenance management mode based on CIM framework | |
CN104008442A (en) | Power distribution network visual platform construction method based on SG-CIM | |
CN104537573A (en) | Power grid operation information panoramic visualized display system | |
CN111208384B (en) | Smart power grids management system | |
CN104123675A (en) | Power distribution network simulation research and analysis system and method based on network-wide data | |
CN116451876B (en) | A distribution network fault prediction and proactive maintenance system based on artificial intelligence | |
CN103559160A (en) | SG-CIM-standard-based construction method for semantic information interaction interface of intelligent power distribution system | |
CN110795848A (en) | Large-scale commercial complex logistics intelligent operation and maintenance method based on building information model | |
CN108366073A (en) | A kind of safety utilization of electric power system for supporting ammeter online and user interaction | |
Wang et al. | Research on intelligent monitoring and maintenance technology of substation based on digital twin | |
CN116108596A (en) | A fast evaluation method for distribution network reliability in power system | |
CN106776750B (en) | A digital pre-planning system for distribution network with integrated graph and model | |
CN118735118A (en) | Power supply service construction system and method in different scenarios based on digital twin | |
CN117610903A (en) | Marketing and distribution data management method, marketing and distribution data management system and computer storage medium | |
CN106844425A (en) | The data handling system of pipeline and cable | |
CN105184676A (en) | Power utilization data processing method and apparatus | |
Vrtal et al. | Power grid and data network simulator | |
Tong et al. | IoT-Based Low-Voltage Power Distribution System Management and Control Platform | |
CN111697569B (en) | Comprehensive analysis system and method for fault self-healing capability of distribution line | |
Fazaeli et al. | A novel approach for modeling and maintenance of power system substation automation | |
Sun et al. | Key technology applications and development prospects of Ubiquitous Electric Internet of Things | |
Yin et al. | Research on network topology analysis method of distribution management based on gis |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |