CN117335570B - Visual monitoring system and method for panoramic information of elastic power distribution network - Google Patents
Visual monitoring system and method for panoramic information of elastic power distribution network Download PDFInfo
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Abstract
本发明公开了一种弹性配电网全景信息可视化监测系统及方法，属于配电网监测技术领域。一种弹性配电网全景信息可视化监测系统，包括信息采集模块、分析评估模块、实时监测模块和可视化展示模块。本发明解决了现有专利在实际使用过程中，不能根据极端事件对配电网的弹性进行分析和处理，导致在对配电网弹性指标进行分析时，分析的结果准确度不高。本发明通能够根据灾害类型完整地模拟配电网受灾和恢复过程的负荷响应情况，判断出配电网对应的风险承受能力，提高了对配电网弹性指标分析的准确性，进而保证了风险等级承受能力分析的准确性，提高了配电网的抢修效率，避免了配电网出现故障影响正常的使用。
The present invention discloses a panoramic information visualization monitoring system and method for an elastic distribution network, and belongs to the technical field of distribution network monitoring. A panoramic information visualization monitoring system for an elastic distribution network, including an information collection module, an analysis and evaluation module, a real-time monitoring module, and a visualization display module. The present invention solves the problem that the existing patents cannot analyze and process the elasticity of the distribution network according to extreme events during actual use, resulting in low accuracy of the analysis results when analyzing the elasticity indicators of the distribution network. The present invention can completely simulate the load response of the distribution network during the disaster and recovery process according to the type of disaster, judge the corresponding risk tolerance of the distribution network, improve the accuracy of the analysis of the elasticity indicators of the distribution network, and thus ensure the accuracy of the risk level tolerance analysis, improve the repair efficiency of the distribution network, and avoid the failure of the distribution network affecting normal use.
Description
技术领域Technical Field
本发明涉及配电网监测技术领域，具体为一种弹性配电网全景信息可视化监测系统及方法。The present invention relates to the technical field of distribution network monitoring, and in particular to a system and method for visualizing panoramic information of a flexible distribution network.
背景技术Background technique
电力系统安全可靠是现代社会维持正常运转的必要需求。然而，近年来极端事件越来越频繁，给电力供应带来了巨大损失。因此，需要积极构建弹性配电网来提升系统应对极端事件的能力，近年来，开展弹性电网的相关研究，通过提升极端事件下系统的快速恢复能力以有效应对极端事件已经成为全球共识，美国、欧盟及日本等国家及地区，先后提出构建弹性电网作为应对电力安全威胁的主要措施。研究和实践表明，智能电网的快速发展，使电力系统具有更高的灵活性、安全性、更高的电能质量、自愈能力，尤其是分布式电源、微网、主动配电网等技术赋予了配电网更多灵活有效的故障应对策略，使得电力系统恢复力的主动提升成为可能。The safety and reliability of the power system is a necessary requirement for the normal operation of modern society. However, extreme events have become more and more frequent in recent years, causing huge losses to the power supply. Therefore, it is necessary to actively build a resilient distribution network to enhance the system's ability to cope with extreme events. In recent years, relevant research on resilient power grids has been carried out. It has become a global consensus to effectively respond to extreme events by improving the rapid recovery capability of the system under extreme events. Countries and regions such as the United States, the European Union and Japan have successively proposed building resilient power grids as the main measure to deal with power security threats. Research and practice have shown that the rapid development of smart grids has enabled power systems to have higher flexibility, security, higher power quality, and self-healing capabilities. In particular, technologies such as distributed power sources, microgrids, and active distribution networks have given distribution networks more flexible and effective fault response strategies, making it possible to actively improve the resilience of power systems.
公开号为CN115169874A的中国专利公开了一种高弹性电网综合监测平台，该专利通过外设备监控模块和内环境监控模块将环境影响后的电网指标以及外设备影响后的电网指标监测，进而可结合作为综合弹性值计算的评估代入值，用以减少评估误差，同时通过短期超高用电需求量指标从监控点内单独整列排出并经指标剔除单元将该指标从内环境监控模块测出的评估代入值中剔除保持精准性，并在通过数据分配计算模块将评估代入值经模糊测度计算后，得以获得综合弹性值，进而依据该弹性值构建模型数据，判别在内外环境因素的结合影响下所需弹性性能提升指标参数，有利于电网弹性调节潜力的充分挖掘和电网承载能力的性能提升。A Chinese patent with publication number CN115169874A discloses a highly elastic power grid integrated monitoring platform. The patent monitors the power grid indicators after environmental influences and the power grid indicators after external equipment influences through an external equipment monitoring module and an internal environment monitoring module, and then can be combined with the evaluation input value calculated as the comprehensive elasticity value to reduce the evaluation error. At the same time, the short-term ultra-high electricity demand indicator is separately discharged from the monitoring point and the indicator is eliminated from the evaluation input value measured by the internal environment monitoring module through an indicator elimination unit to maintain accuracy. After the evaluation input value is fuzzy measured and calculated by the data allocation calculation module, the comprehensive elasticity value is obtained, and then the model data is constructed based on the elasticity value to determine the required elasticity performance improvement indicator parameters under the combined influence of internal and external environmental factors, which is conducive to fully tapping the elastic regulation potential of the power grid and improving the performance of the power grid carrying capacity.
上述专利的一种高弹性电网综合监测平台在实际使用过程中，不能根据极端事件对配电网的弹性进行分析和处理，导致在对配电网弹性指标进行分析时，分析的结果准确度不高；因此，不满足现有的需求，对此我们提出了一种弹性配电网全景信息可视化监测系统及方法。During actual use, the highly elastic power grid comprehensive monitoring platform of the above-mentioned patent cannot analyze and process the elasticity of the distribution network according to extreme events, resulting in low accuracy of the analysis results when analyzing the elasticity indicators of the distribution network; therefore, it does not meet the existing needs. In this regard, we propose a panoramic information visualization monitoring system and method for elastic distribution networks.
发明内容Summary of the invention
本发明的目的在于提供一种弹性配电网全景信息可视化监测系统及方法，能够根据灾害类型完整地模拟配电网受灾和恢复过程的负荷响应情况，并通过计算配电网历史弹性指标和风险承受等级，对配电网的实时弹性指标进行对比分析，判断出配电网对应的风险承受能力，并根据风险等级由高到低进行显示，提高了对配电网弹性指标分析的准确性，进而保证了风险等级承受能力分析的准确性，方便维修人员及时了解配电网的实时工作情况，提高了配电网的抢修效率，避免了配电网出现故障，影响正常的使用，解决了上述背景技术中提出的问题。The purpose of the present invention is to provide a panoramic information visualization monitoring system and method for an elastic distribution network, which can completely simulate the load response of the distribution network during the disaster and recovery process according to the disaster type, and by calculating the historical elasticity indicators and risk tolerance levels of the distribution network, compare and analyze the real-time elasticity indicators of the distribution network, judge the corresponding risk tolerance of the distribution network, and display it from high to low according to the risk level, thereby improving the accuracy of the analysis of the elasticity indicators of the distribution network, and thus ensuring the accuracy of the risk level tolerance analysis, making it convenient for maintenance personnel to understand the real-time working conditions of the distribution network in a timely manner, improving the emergency repair efficiency of the distribution network, avoiding failures in the distribution network and affecting normal use, and solving the problems raised in the above-mentioned background technology.
为实现上述目的，本发明提供如下技术方案：一种弹性配电网全景信息可视化监测系统，包括：To achieve the above object, the present invention provides the following technical solution: a panoramic information visualization monitoring system for elastic distribution network, comprising:
信息采集模块，用于对多个配电网所在区域的历史灾害类型进行分别采集并分类储存，同时采集多个配电网的功率、故障率、平均修复时间、重要设备事故率、安全设备预警率、网络安全性以及可持续性指标，并将采集的结果进行分类储存。The information collection module is used to separately collect and classify the historical disaster types in the areas where multiple distribution networks are located. At the same time, it collects the power, failure rate, average repair time, important equipment accident rate, safety equipment warning rate, network security and sustainability indicators of multiple distribution networks, and classifies and stores the collected results.
分析评估模块，用于根据多个配电网所在区域的历史灾害类型结合配电网数据，对配电网的受灾情况和恢复过程进行分析，计算当前配电网的弹性指标，并根据计算出配电网弹性指标预设配电网弹性指标阈值，并对配电网的风险承受能力进行评估，根据风险承受能力的分析结果匹配相应的优化方案。The analysis and evaluation module is used to analyze the disaster situation and recovery process of the distribution network according to the historical disaster types in the areas where multiple distribution networks are located and the distribution network data, calculate the elasticity index of the current distribution network, preset the distribution network elasticity index threshold according to the calculated distribution network elasticity index, and evaluate the risk tolerance of the distribution network, and match the corresponding optimization plan according to the analysis results of the risk tolerance.
实时监测模块，用于对多个配电网所在区域的灾害类型和配电网数据进行实时监测，并根据监测的数据实时计算多个配电网的弹性指标，将计算得到的配电网实时弹性指标与预设的配电网弹性指标阈值进行对比，判断当前配电网弹性指标是否存在风险，并根据风险等级做出相应的预警提示。The real-time monitoring module is used to monitor the disaster types and distribution network data in the areas where multiple distribution networks are located in real time, and calculate the elasticity indicators of multiple distribution networks in real time based on the monitored data, compare the calculated real-time elasticity indicators of the distribution networks with the preset distribution network elasticity indicator thresholds, determine whether there are risks in the current distribution network elasticity indicators, and make corresponding early warning prompts according to the risk level.
可视化展示模块，用于将多个配电网的实时弹性指标、风险判断的结果及优化方案进行相应的可视化展示。The visualization module is used to visualize the real-time elasticity indicators, risk assessment results and optimization plans of multiple distribution networks.
优选的，所述信息采集模块，包括：Preferably, the information collection module includes:
风险数据采集模块，用于对多个配电网所在区域的历史灾害类型进行分别采集，灾害类型包括气象灾害、地质灾害以及人为因素造成的灾害。The risk data collection module is used to separately collect historical disaster types in the areas where multiple distribution networks are located. Disaster types include meteorological disasters, geological disasters, and disasters caused by human factors.
配电网数据采集模块，用于采集多个配电网的功率、故障率、平均修复时间、重要设备事故率、安全设备预警率、网络安全性以及可持续性指标，并将采集的结果分别进行储存，可持续性指标包括能源利用效率、环境污染控制和绿色电力发展。The distribution network data acquisition module is used to collect the power, failure rate, average repair time, important equipment accident rate, safety equipment warning rate, network security and sustainability indicators of multiple distribution networks, and store the collected results separately. The sustainability indicators include energy utilization efficiency, environmental pollution control and green power development.
优选的，配电网数据采集模块，包括：Preferably, the distribution network data acquisition module includes:
时间间隔提取模块，用于提取所述配电网数据中各个数据类型的采集时间间隔；其中，所述配电网数据中各个数据类型包括配电网的功率、故障率、平均修复时间、重要设备事故率和安全设备预警率；A time interval extraction module is used to extract the collection time interval of each data type in the distribution network data; wherein each data type in the distribution network data includes the power, failure rate, mean repair time, important equipment accident rate and safety equipment warning rate of the distribution network;
最大时间间隔提取模块，用于提取所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔和最小时间间隔；A maximum time interval extraction module, used to extract the maximum time interval and the minimum time interval of the collection time intervals of each data type in the distribution network data;
第一时间间隔设置模块，用于将所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔与预设时间阈值进行比较，当所述最大时间间隔大于所述预设时间阈值时，则将所述数据传输时间间隔设置为第一时间间隔；其中，所述预设时间阈值为1-3天；其中，所述第一时间间隔通过如下公式获取：The first time interval setting module is used to compare the maximum time interval of the collection time intervals of each data type in the distribution network data with a preset time threshold, and when the maximum time interval is greater than the preset time threshold, the data transmission time interval is set to a first time interval; wherein the preset time threshold is 1-3 days; wherein the first time interval is obtained by the following formula:
其中，T01表示第一时间间隔；N表示配电网数据中各个数据类型的数量；Tp表示配电网数据的平均数据采集时间间隔；Tmin和Tmax分别表示所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔和最小时间间隔；Tmax0表示预设时间阈值；e表示常数；Ti表示第i个数据类型对应的数据采集时间间隔；Wherein, T 01 represents the first time interval; N represents the number of each data type in the distribution network data; T p represents the average data collection time interval of the distribution network data; T min and T max represent the maximum time interval and the minimum time interval of the collection time interval of each data type in the distribution network data, respectively; T max0 represents the preset time threshold; e represents a constant; Ti represents the data collection time interval corresponding to the i-th data type;
第一专属线程建立模块，用于建立所述配电网数据采集对应的第一通信专属线程，利用所述第一通信专属线程按照所述第一时间间隔进行所述配电网数据的传输，其中，所述第一通信专属线程的单位时间最大吞吐量通过如下公式获取：The first dedicated thread establishment module is used to establish a first communication dedicated thread corresponding to the distribution network data collection, and use the first communication dedicated thread to transmit the distribution network data according to the first time interval, wherein the maximum throughput per unit time of the first communication dedicated thread is obtained by the following formula:
其中，C01表示第一通信专属线程的单位时间最大吞吐量；C0表示预设初始吞吐量；T01表示第一时间间隔；N表示配电网数据中各个数据类型的数量；Tmin和Tmax分别表示所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔和最小时间间隔；e表示常数；C表示配电网数据的包含全部数据类型的一次数据采集所对应的平均数据量。Among them, C 01 represents the maximum throughput per unit time of the first communication exclusive thread; C 0 represents the preset initial throughput; T 01 represents the first time interval; N represents the number of each data type in the distribution network data; T min and T max respectively represent the maximum time interval and the minimum time interval of the collection time interval of each data type in the distribution network data; e represents a constant; C represents the average data volume corresponding to a data collection of all data types of the distribution network data.
优选的，配电网数据采集模块，还包括：Preferably, the distribution network data acquisition module further includes:
第二时间间隔设置模块，用于将所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔与预设时间阈值进行比较，当所述最大时间间隔小于或等于所述预设时间阈值时，则将所述数据传输时间间隔设置为第二时间间隔；其中，所述预设时间阈值为1-3天；其中，所述第二时间间隔通过如下公式获取：The second time interval setting module is used to compare the maximum time interval of the collection time intervals of each data type in the distribution network data with the preset time threshold, and when the maximum time interval is less than or equal to the preset time threshold, the data transmission time interval is set to the second time interval; wherein the preset time threshold is 1-3 days; wherein the second time interval is obtained by the following formula:
其中，T02表示第二时间间隔；N表示配电网数据中各个数据类型的数量；Tp表示配电网数据的平均数据采集时间间隔；Tmin和Tmax分别表示所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔和最小时间间隔；Tmax0表示预设时间阈值；e表示常数；Ti表示第i个数据类型对应的数据采集时间间隔；Wherein, T 02 represents the second time interval; N represents the number of each data type in the distribution network data; T p represents the average data collection time interval of the distribution network data; T min and T max represent the maximum time interval and the minimum time interval of the collection time interval of each data type in the distribution network data, respectively; T max0 represents the preset time threshold; e represents a constant; Ti represents the data collection time interval corresponding to the i-th data type;
第二专属线程建立模块，用于建立所述配电网数据采集对应的第二通信专属线程，利用所述第二通信专属线程按照所述第二时间间隔进行所述配电网数据的传输，其中，所述第二通信专属线程的单位时间最大吞吐量通过如下公式获取：The second dedicated thread establishment module is used to establish a second communication dedicated thread corresponding to the distribution network data collection, and use the second communication dedicated thread to transmit the distribution network data according to the second time interval, wherein the maximum throughput per unit time of the second communication dedicated thread is obtained by the following formula:
其中，C02表示第二通信专属线程的单位时间最大吞吐量；C0表示预设初始吞吐量；T01表示第一时间间隔；N表示配电网数据中各个数据类型的数量；Tmin和Tmax分别表示所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔和最小时间间隔；e表示常数；C表示配电网数据的包含全部数据类型的一次数据采集所对应的平均数据量。Among them, C 02 represents the maximum throughput per unit time of the second communication dedicated thread; C 0 represents the preset initial throughput; T 01 represents the first time interval; N represents the number of each data type in the distribution network data; T min and T max respectively represent the maximum time interval and the minimum time interval of the collection time interval of each data type in the distribution network data; e represents a constant; C represents the average data volume corresponding to a data collection of all data types of the distribution network data.
优选的，所述分析评估模块，包括：Preferably, the analysis and evaluation module includes:
分析模块，用于根据多个配电网所在区域的历史灾害类型结合配电网的功率、故障率、平均修复时间、重要设备事故率、安全设备预警率、网络安全性以及可持续性指标对配电网的受灾情况和恢复过程进行分析。The analysis module is used to analyze the disaster situation and recovery process of the distribution network based on the historical disaster types in the areas where multiple distribution networks are located, combined with the power, failure rate, average repair time, important equipment accident rate, safety equipment warning rate, network security and sustainability indicators of the distribution network.
计算模块，用于根据所分析出的多个配电网受灾情况和恢复过程计算当前配电网的弹性指标，并根据计算出配电网弹性指标预设配电网弹性指标阈值。The calculation module is used to calculate the elasticity index of the current distribution network based on the analyzed multiple distribution network disaster conditions and recovery processes, and preset the distribution network elasticity index threshold based on the calculated distribution network elasticity index.
评估模块，用于根据计算出的多个配电网弹性指标结合历史环灾害类型对配电网的风险承受能力进行评估，风险承受能力按照安全、低风险、高风险和越限进行等级划分。The evaluation module is used to evaluate the risk tolerance of the distribution network based on the calculated multiple distribution network resilience indicators combined with the historical ring disaster types. The risk tolerance is divided into levels according to safety, low risk, high risk and over-limit.
预警模块，用于根据评估模块所分析的结果对该配电网进行风险预警，并根据风险承受能力的分析结果匹配相应的优化方案。The early warning module is used to issue risk early warning to the distribution network according to the analysis results of the evaluation module, and match the corresponding optimization plan according to the analysis results of the risk tolerance.
优选的，所述分析模块的分析流程具体包括：Preferably, the analysis process of the analysis module specifically includes:
建立灾害场景模型，将历史灾害类型以及配电网数据输入灾害场景模型进行灾害模拟。A disaster scenario model is established, and historical disaster types and distribution network data are input into the disaster scenario model for disaster simulation.
根据模拟产生灾害场景对配电网的电网节点状况数据、灾害类型和波动范围进行分析，得到配电网受灾情况和恢复过程，电网节点状况数据包括连接和断路，波动范围包括单个、多个和区域内。According to the simulated disaster scenario, the grid node status data, disaster type and fluctuation range of the distribution network are analyzed to obtain the disaster situation and recovery process of the distribution network. The grid node status data includes connection and disconnection, and the fluctuation range includes single, multiple and regional.
根据得到的配电网受灾情况和恢复过程对配电网的平均状态进行曲线绘制。The average state of the distribution network is plotted based on the obtained distribution network disaster situation and recovery process.
根据配电网平均状态曲线计算得出配电网的弹性指标。The elasticity index of the distribution network is calculated based on the average state curve of the distribution network.
优选的，所述评估模块，包括：Preferably, the evaluation module comprises:
风险承受等级评估模块，用于根据配电网所在区域的历史环境数据、历史气象数据及历史地貌数据对配电网的风险承受能力进行评估。The risk tolerance level assessment module is used to assess the risk tolerance of the distribution network based on the historical environmental data, historical meteorological data and historical geomorphological data of the area where the distribution network is located.
恢复力评估模块，用于根据配电网的弹性结合配电网的风险承受等级对配电网的恢复力进行评估。The resilience assessment module is used to assess the resilience of the distribution network according to the elasticity of the distribution network and the risk tolerance level of the distribution network.
弹性优化模块，用于采集配电网恢复过程中的各项指标数据，根据所采集的恢复数据对配电网的弹性恢复力进行相应的优化。The elasticity optimization module is used to collect various indicator data during the distribution network recovery process and optimize the elastic recovery capacity of the distribution network accordingly based on the collected recovery data.
优选的，所述监测模块，包括：Preferably, the monitoring module comprises:
实时监测模块，用于对多个配电网所在区域的灾害类型和配电网数据进行实时监测，并根据监测的数据实时计算当前配电网的弹性指标。The real-time monitoring module is used to monitor the disaster types and distribution network data in the areas where multiple distribution networks are located in real time, and calculate the elasticity indicators of the current distribution network in real time based on the monitored data.
对比模块，用于将计算得到的多个配电网实时弹性指标与该配电网预设的配电网弹性指标阈值进行对比。The comparison module is used to compare the calculated multiple real-time elasticity indicators of the distribution network with the distribution network elasticity indicator thresholds preset for the distribution network.
判断模块，用于根据对比模块所对比的结果判断当前配电网弹性指标是否存在风险，并根据风险等级做出相应的预警提示。The judgment module is used to judge whether there is a risk in the current distribution network elasticity index according to the comparison results of the comparison module, and make corresponding early warning prompts according to the risk level.
优选的，所述可视化展示模块，包括：Preferably, the visual display module includes:
弹性指标展示模块，用于将监测模块所监测的多个配电网的实时弹性指标进行可视化展示。The elasticity indicator display module is used to visualize the real-time elasticity indicators of multiple distribution networks monitored by the monitoring module.
评估展示模块，用于将评估模块所评估的多个配电网所能承受的灾害等级进行可视化展示，并根据风险等级的高低，优先显示风险等级高的配电网。The evaluation and display module is used to visualize the disaster levels that multiple distribution networks evaluated by the evaluation module can withstand, and give priority to displaying distribution networks with high risk levels based on the risk levels.
优化展示模块，用于根据多个弹性配电网所能承受的灾害等级匹配相应的优化方法，并将优化方法以及优化过程进行可视化展示。The optimization display module is used to match the corresponding optimization methods according to the disaster levels that multiple elastic distribution networks can withstand, and to visualize the optimization methods and optimization processes.
一种弹性配电网全景信息可视化监测系统的工作方法，包括以下步骤：A working method of a panoramic information visualization monitoring system for an elastic distribution network comprises the following steps:
步骤一：对多个配电网所在区域的历史灾害类型以及多个配电网数据进行分别采集，并将采集的结果进行分类储存。Step 1: Collect historical disaster types in multiple distribution network areas and multiple distribution network data separately, and classify and store the collected results.
步骤二：根据多个配电网所在区域的历史灾害类型结合配电网数据，对配电网的受灾情况和恢复过程进行分析，计算当前配电网的弹性指标。Step 2: Based on the historical disaster types in the areas where multiple distribution networks are located and the distribution network data, the disaster situation and recovery process of the distribution network are analyzed, and the elasticity index of the current distribution network is calculated.
步骤三：根据计算出配电网弹性指标预设配电网弹性指标阈值，并对多个配电网的风险承受能力进行评估，根据风险承受能力的分析结果匹配相应的优化方案。Step 3: Preset the distribution network elasticity index threshold according to the calculated distribution network elasticity index, evaluate the risk tolerance of multiple distribution networks, and match the corresponding optimization plan according to the analysis results of the risk tolerance.
步骤四：对多个配电网所在区域的灾害类型和配电网数据进行实时监测，并计算多个配电网的实时弹性指标，将计算得到的配电网的实时弹性指标与预设的配电网弹性指标阈值进行对比，判断当前配电网弹性指标是否存在风险。Step 4: Conduct real-time monitoring of the disaster types and distribution network data in the areas where multiple distribution networks are located, and calculate the real-time elasticity indicators of multiple distribution networks. Compare the calculated real-time elasticity indicators of the distribution networks with the preset distribution network elasticity indicator thresholds to determine whether there are risks in the current distribution network elasticity indicators.
步骤五：若配电网存在风险，则对风险进行等级划分，并根据风险等级的高低由高到低进行可视化显示。Step 5: If there are risks in the distribution network, the risks are classified into different levels and displayed visually from high to low according to the risk levels.
与现有技术相比，本发明的有益效果是：Compared with the prior art, the present invention has the following beneficial effects:
本发明通过在本发明通过实施监测配电网所在区域的灾害情况计算配电网的实时弹性指标，能够根据灾害类型完整地模拟配电网受灾和恢复过程的负荷响应情况，并通过计算配电网历史弹性指标和风险承受等级，对配电网的实时弹性指标进行对比分析，判断出配电网对应的风险承受能力，并根据风险等级由高到低进行显示，进而为配电网弹性提升措施提供参考，提高了对配电网弹性指标分析的准确性，进而保证了风险等级承受能力分析的准确性，并根据风险承受情况提供相应的优化同时给出相应的风险预警，方便维修人员及时了解配电网的实时工作情况，提高了配电网的抢修效率，避免了配电网出现故障，影响正常的使用。The present invention calculates the real-time elasticity index of the distribution network by implementing the disaster situation monitoring in the area where the distribution network is located, and can completely simulate the load response of the distribution network during the disaster and recovery process according to the disaster type, and compare and analyze the real-time elasticity index of the distribution network by calculating the historical elasticity index and risk tolerance level of the distribution network, judge the corresponding risk tolerance of the distribution network, and display it from high to low according to the risk level, thereby providing a reference for the distribution network elasticity improvement measures, improving the accuracy of the distribution network elasticity index analysis, thereby ensuring the accuracy of the risk level tolerance analysis, and providing corresponding optimization according to the risk tolerance situation and giving corresponding risk warnings, so as to facilitate maintenance personnel to timely understand the real-time working situation of the distribution network, improve the emergency repair efficiency of the distribution network, and avoid failures in the distribution network that affect normal use.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
图1为本发明的一种弹性配电网全景信息可视化监测系统的模块示意图；FIG1 is a schematic diagram of a module of a panoramic information visualization monitoring system for an elastic distribution network according to the present invention;
图2为本发明的一种弹性配电网全景信息可视化监测系统的工作流程图。FIG. 2 is a flowchart of a panoramic information visualization monitoring system for an elastic distribution network according to the present invention.
具体实施方式Detailed ways
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
为了解决现有专利在实际使用过程中，不能根据极端事件对配电网的弹性进行分析和处理，导致在对配电网弹性指标进行分析时，分析的结果准确度不高的问题，请参阅图1-图2，本实施例提供以下技术方案：In order to solve the problem that the existing patents cannot analyze and process the elasticity of the distribution network according to extreme events during actual use, resulting in low accuracy of the analysis results when analyzing the elasticity index of the distribution network, please refer to Figures 1 and 2. This embodiment provides the following technical solutions:
一种弹性配电网全景信息可视化监测系统，包括：A panoramic information visualization monitoring system for a flexible distribution network, comprising:
信息采集模块，用于对多个配电网所在区域的历史灾害类型进行分别采集并分类储存，同时采集多个配电网的功率、故障率、平均修复时间、重要设备事故率、安全设备预警率、网络安全性以及可持续性指标，并将采集的结果进行分类储存，能够对多个配电网进行数据采集，使得维修人员能够同时了解多个配电网的弹性指标，实用性更强。The information collection module is used to separately collect and classify the historical disaster types in the areas where multiple distribution networks are located. At the same time, it collects the power, failure rate, average repair time, important equipment accident rate, safety equipment warning rate, network security and sustainability indicators of multiple distribution networks, and classifies and stores the collected results. It can collect data from multiple distribution networks, so that maintenance personnel can understand the elasticity indicators of multiple distribution networks at the same time, which is more practical.
信息采集模块，包括：Information collection module, including:
风险数据采集模块，用于对多个配电网所在区域的历史灾害类型进行分别采集，灾害类型包括气象灾害、地质灾害以及人为因素造成的灾害。The risk data collection module is used to separately collect historical disaster types in the areas where multiple distribution networks are located. Disaster types include meteorological disasters, geological disasters, and disasters caused by human factors.
配电网数据采集模块，用于采集多个配电网的功率、故障率、平均修复时间、重要设备事故率、安全设备预警率、网络安全性以及可持续性指标，并将采集的结果分别进行储存，可持续性指标包括能源利用效率、环境污染控制和绿色电力发展。The distribution network data acquisition module is used to collect the power, failure rate, average repair time, important equipment accident rate, safety equipment warning rate, network security and sustainability indicators of multiple distribution networks, and store the collected results separately. The sustainability indicators include energy utilization efficiency, environmental pollution control and green power development.
具体的，配电网数据采集模块，包括：Specifically, the distribution network data acquisition module includes:
时间间隔提取模块，用于提取所述配电网数据中各个数据类型的采集时间间隔；其中，所述配电网数据中各个数据类型包括配电网的功率、故障率、平均修复时间、重要设备事故率和安全设备预警率；A time interval extraction module is used to extract the collection time interval of each data type in the distribution network data; wherein each data type in the distribution network data includes the power, failure rate, mean repair time, important equipment accident rate and safety equipment warning rate of the distribution network;
最大时间间隔提取模块，用于提取所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔和最小时间间隔；A maximum time interval extraction module, used to extract the maximum time interval and the minimum time interval of the collection time intervals of each data type in the distribution network data;
第一时间间隔设置模块，用于将所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔与预设时间阈值进行比较，当所述最大时间间隔大于所述预设时间阈值时，则将所述数据传输时间间隔设置为第一时间间隔；其中，所述预设时间阈值为1-3天；其中，所述第一时间间隔通过如下公式获取：The first time interval setting module is used to compare the maximum time interval of the collection time intervals of each data type in the distribution network data with a preset time threshold, and when the maximum time interval is greater than the preset time threshold, the data transmission time interval is set to a first time interval; wherein the preset time threshold is 1-3 days; wherein the first time interval is obtained by the following formula:
其中，T01表示第一时间间隔；N表示配电网数据中各个数据类型的数量；Tp表示配电网数据的平均数据采集时间间隔；Tmin和Tmax分别表示所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔和最小时间间隔；Tmax0表示预设时间阈值；e表示常数；Ti表示第i个数据类型对应的数据采集时间间隔；Wherein, T 01 represents the first time interval; N represents the number of each data type in the distribution network data; T p represents the average data collection time interval of the distribution network data; T min and T max represent the maximum time interval and the minimum time interval of the collection time interval of each data type in the distribution network data, respectively; T max0 represents the preset time threshold; e represents a constant; Ti represents the data collection time interval corresponding to the i-th data type;
第一专属线程建立模块，用于建立所述配电网数据采集对应的第一通信专属线程，利用所述第一通信专属线程按照所述第一时间间隔进行所述配电网数据的传输，其中，所述第一通信专属线程的单位时间最大吞吐量通过如下公式获取：The first dedicated thread establishment module is used to establish a first communication dedicated thread corresponding to the distribution network data collection, and use the first communication dedicated thread to transmit the distribution network data according to the first time interval, wherein the maximum throughput per unit time of the first communication dedicated thread is obtained by the following formula:
其中，C01表示第一通信专属线程的单位时间最大吞吐量；C0表示预设初始吞吐量；T01表示第一时间间隔；N表示配电网数据中各个数据类型的数量；Tmin和Tmax分别表示所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔和最小时间间隔；e表示常数；C表示配电网数据的包含全部数据类型的一次数据采集所对应的平均数据量。Among them, C 01 represents the maximum throughput per unit time of the first communication exclusive thread; C 0 represents the preset initial throughput; T 01 represents the first time interval; N represents the number of each data type in the distribution network data; T min and T max respectively represent the maximum time interval and the minimum time interval of the collection time interval of each data type in the distribution network data; e represents a constant; C represents the average data volume corresponding to a data collection of all data types of the distribution network data.
上述技术方案的技术效果为：时间间隔提取和管理：该方案提供了时间间隔提取模块，可以根据配电网数据的不同数据类型(如功率、故障率、平均修复时间等)提取其采集时间间隔。这有助于优化数据采集的时间间隔，以确保数据的准确性和效率。The technical effects of the above technical solution are: Time interval extraction and management: The solution provides a time interval extraction module, which can extract the collection time interval according to different data types of distribution network data (such as power, failure rate, mean repair time, etc.). This helps to optimize the time interval of data collection to ensure the accuracy and efficiency of the data.
数据传输时间间隔自动调整：方案中的第一时间间隔设置模块将最大时间间隔与预设时间阈值进行比较，并自动调整数据传输时间间隔。这可以确保在数据变化较慢时采用较长的时间间隔，从而减少通信开销，而在数据变化较快时采用较短的时间间隔，以及时获取重要数据。Automatic adjustment of data transmission time interval: The first time interval setting module in the scheme compares the maximum time interval with the preset time threshold and automatically adjusts the data transmission time interval. This ensures that a longer time interval is used when the data changes slowly, thereby reducing communication overhead, and a shorter time interval is used when the data changes quickly to obtain important data in a timely manner.
通信线程优化：通过第一专属线程建立模块，系统建立了专用的通信线程，可以按照第一时间间隔来传输配电网数据。此线程的单位时间最大吞吐量可以根据数据类型的数量和时间间隔来自动调整，以优化数据传输性能。Communication thread optimization: Through the first dedicated thread establishment module, the system establishes a dedicated communication thread that can transmit distribution network data at a first time interval. The maximum throughput per unit time of this thread can be automatically adjusted according to the number of data types and the time interval to optimize data transmission performance.
数据传输效率提升：通过根据数据类型和时间间隔来自动优化数据传输时间间隔和通信线程的吞吐量，该方案可以提高数据传输的效率。这有助于及时获取关键的配电网数据，同时减少通信成本和资源占用。Improved data transmission efficiency: By automatically optimizing the data transmission time interval and communication thread throughput according to the data type and time interval, the solution can improve the efficiency of data transmission. This helps to obtain critical distribution network data in a timely manner while reducing communication costs and resource usage.
总的来说，该技术方案的主要技术效果是提高了配电网数据采集和传输的效率和可靠性，同时根据实际情况自动调整采集和传输参数，以满足不同数据类型的需求。这可以帮助电力系统运营商更好地监测和管理配电网，提高其运行效率和可靠性。In general, the main technical effect of this technical solution is to improve the efficiency and reliability of distribution network data collection and transmission, while automatically adjusting the collection and transmission parameters according to actual conditions to meet the needs of different data types. This can help power system operators better monitor and manage distribution networks and improve their operating efficiency and reliability.
具体的，配电网数据采集模块，还包括：Specifically, the distribution network data acquisition module also includes:
第二时间间隔设置模块，用于将所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔与预设时间阈值进行比较，当所述最大时间间隔小于或等于所述预设时间阈值时，则将所述数据传输时间间隔设置为第二时间间隔；其中，所述预设时间阈值为1-3天；其中，所述第二时间间隔通过如下公式获取：The second time interval setting module is used to compare the maximum time interval of the collection time intervals of each data type in the distribution network data with the preset time threshold, and when the maximum time interval is less than or equal to the preset time threshold, the data transmission time interval is set to the second time interval; wherein the preset time threshold is 1-3 days; wherein the second time interval is obtained by the following formula:
其中，T02表示第二时间间隔；N表示配电网数据中各个数据类型的数量；Tp表示配电网数据的平均数据采集时间间隔；Tmin和Tmax分别表示所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔和最小时间间隔；Tmax0表示预设时间阈值；e表示常数；Ti表示第i个数据类型对应的数据采集时间间隔；Wherein, T 02 represents the second time interval; N represents the number of each data type in the distribution network data; T p represents the average data collection time interval of the distribution network data; T min and T max represent the maximum time interval and the minimum time interval of the collection time interval of each data type in the distribution network data, respectively; T max0 represents the preset time threshold; e represents a constant; Ti represents the data collection time interval corresponding to the i-th data type;
第二专属线程建立模块，用于建立所述配电网数据采集对应的第二通信专属线程，利用所述第二通信专属线程按照所述第二时间间隔进行所述配电网数据的传输，其中，所述第二通信专属线程的单位时间最大吞吐量通过如下公式获取：The second dedicated thread establishment module is used to establish a second communication dedicated thread corresponding to the distribution network data collection, and use the second communication dedicated thread to transmit the distribution network data according to the second time interval, wherein the maximum throughput per unit time of the second communication dedicated thread is obtained by the following formula:
其中，C02表示第二通信专属线程的单位时间最大吞吐量；C0表示预设初始吞吐量；T01表示第一时间间隔；N表示配电网数据中各个数据类型的数量；Tmin和Tmax分别表示所述配电网数据中各个数据类型的采集时间间隔的最大时间间隔和最小时间间隔；e表示常数；C表示配电网数据的包含全部数据类型的一次数据采集所对应的平均数据量。Among them, C 02 represents the maximum throughput per unit time of the second communication exclusive thread; C 0 represents the preset initial throughput; T 01 represents the first time interval; N represents the number of each data type in the distribution network data; T min and T max respectively represent the maximum time interval and the minimum time interval of the collection time interval of each data type in the distribution network data; e represents a constant; C represents the average data volume corresponding to a data collection of all data types of the distribution network data.
上述技术方案的技术效果为：额外的时间间隔管理：引入第二时间间隔设置模块，可以根据预设时间阈值将最大时间间隔与配电网数据中各个数据类型的采集时间间隔进行比较，从而根据不同的数据类型和数据变化速率进一步细化数据传输时间间隔。The technical effects of the above technical solution are: additional time interval management: introducing a second time interval setting module, which can compare the maximum time interval with the collection time interval of each data type in the distribution network data according to a preset time threshold, thereby further refining the data transmission time interval according to different data types and data change rates.
自适应数据传输：引入第二时间间隔后，系统可以自动根据数据类型的不同来调整数据传输的时间间隔。当数据类型的最大时间间隔小于或等于预设时间阈值时，系统将采用第二时间间隔。这有助于在不同数据类型之间实现更灵活的数据采集和传输策略。Adaptive data transmission: After the introduction of the second time interval, the system can automatically adjust the time interval for data transmission according to the data type. When the maximum time interval of a data type is less than or equal to the preset time threshold, the system will use the second time interval. This helps to achieve more flexible data collection and transmission strategies between different data types.
第二专属线程：通过第二专属线程建立模块，系统可以为第二时间间隔建立专用的通信线程，以进一步优化数据传输性能。这可以确保在不同时间间隔下有适当的通信资源分配。Second dedicated thread: Through the second dedicated thread establishment module, the system can establish a dedicated communication thread for the second time interval to further optimize data transmission performance. This can ensure that there is appropriate allocation of communication resources at different time intervals.
数据传输性能的再次优化：第二通信专属线程的单位时间最大吞吐量也可以根据不同数据类型和时间间隔进行自动调整，以最大程度地提高数据传输性能。Further optimization of data transmission performance: The maximum throughput per unit time of the second communication dedicated thread can also be automatically adjusted according to different data types and time intervals to maximize data transmission performance.
总的来说，这个扩展的技术方案进一步提高了配电网数据采集和传输的灵活性和效率，可以更精细地管理不同数据类型的时间间隔和通信资源，确保及时获取关键数据，同时最小化通信成本和资源浪费。这有助于电力系统运营商更好地监测和管理配电网，提高其运行效率和可靠性。In general, this extended technical solution further improves the flexibility and efficiency of data collection and transmission in the distribution network, and can more finely manage the time intervals and communication resources of different data types, ensuring timely acquisition of key data while minimizing communication costs and resource waste. This helps power system operators better monitor and manage distribution networks and improve their operating efficiency and reliability.
分析评估模块，用于根据多个配电网所在区域的历史灾害类型结合配电网数据，对配电网的受灾情况和恢复过程进行分析，计算当前配电网的弹性指标，并根据计算出配电网弹性指标预设配电网弹性指标阈值，并对配电网的风险承受能力进行评估，根据风险承受能力的分析结果匹配相应的优化方案，能够根据灾害类型完整地模拟配电网受灾和恢复过程的负荷响应情况，并通过计算配电网历史弹性指标和风险承受等级，对配电网的实时弹性指标进行对比分析，判断出配电网对应的风险承受能力，并根据风险等级由高到低进行显示，进而为配电网弹性提升措施提供参考，保证了弹性指标分析的准确性，进而保证了风险等级承受能力分析的准确性。The analysis and evaluation module is used to analyze the disaster situation and recovery process of the distribution network according to the historical disaster types in the areas where multiple distribution networks are located and the distribution network data, calculate the elasticity index of the current distribution network, and preset the distribution network elasticity index threshold based on the calculated distribution network elasticity index, and evaluate the risk tolerance of the distribution network. According to the analysis results of the risk tolerance, the corresponding optimization plan can be matched. It can completely simulate the load response of the distribution network during the disaster and recovery process according to the disaster type, and by calculating the historical elasticity index and risk tolerance level of the distribution network, the real-time elasticity index of the distribution network is compared and analyzed to determine the corresponding risk tolerance of the distribution network, and displayed from high to low according to the risk level, thereby providing a reference for the distribution network elasticity improvement measures, ensuring the accuracy of the elasticity index analysis, and then ensuring the accuracy of the risk level tolerance analysis.
分析评估模块，包括：Analysis and evaluation modules, including:
分析模块，用于根据多个配电网所在区域的历史灾害类型结合配电网的功率、故障率、平均修复时间、重要设备事故率、安全设备预警率、网络安全性以及可持续性指标对配电网的受灾情况和恢复过程进行分析。The analysis module is used to analyze the disaster situation and recovery process of the distribution network based on the historical disaster types in the areas where multiple distribution networks are located, combined with the power, failure rate, average repair time, important equipment accident rate, safety equipment warning rate, network security and sustainability indicators of the distribution network.
计算模块，用于根据所分析出的多个配电网受灾情况和恢复过程计算当前配电网的弹性指标，并根据计算出配电网弹性指标预设配电网弹性指标阈值。The calculation module is used to calculate the elasticity index of the current distribution network based on the analyzed multiple distribution network disaster conditions and recovery processes, and preset the distribution network elasticity index threshold based on the calculated distribution network elasticity index.
评估模块，用于根据计算出的多个配电网弹性指标结合历史环灾害类型对配电网的风险承受能力进行评估，风险承受能力按照安全、低风险、高风险和越限进行等级划分。The evaluation module is used to evaluate the risk tolerance of the distribution network based on the calculated multiple distribution network resilience indicators combined with the historical ring disaster types. The risk tolerance is divided into levels according to safety, low risk, high risk and over-limit.
预警模块，用于根据评估模块所分析的结果对该配电网进行风险预警，并根据风险承受能力的分析结果匹配相应的优化方案。The early warning module is used to issue risk early warning to the distribution network according to the analysis results of the evaluation module, and match the corresponding optimization plan according to the analysis results of the risk tolerance.
分析模块的分析流程具体包括：The analysis process of the analysis module specifically includes:
建立灾害场景模型，将历史灾害类型以及配电网数据输入灾害场景模型进行灾害模拟。A disaster scenario model is established, and historical disaster types and distribution network data are input into the disaster scenario model for disaster simulation.
根据模拟产生灾害场景对配电网的电网节点状况数据、灾害类型和波动范围进行分析，得到配电网受灾情况和恢复过程，电网节点状况数据包括连接和断路，波动范围包括单个、多个和区域内。According to the simulated disaster scenario, the grid node status data, disaster type and fluctuation range of the distribution network are analyzed to obtain the disaster situation and recovery process of the distribution network. The grid node status data includes connection and disconnection, and the fluctuation range includes single, multiple and regional.
根据得到的配电网受灾情况和恢复过程对配电网的平均状态进行曲线绘制。The average state of the distribution network is plotted based on the obtained distribution network disaster situation and recovery process.
根据配电网平均状态曲线计算得出配电网的弹性指标。The elasticity index of the distribution network is calculated based on the average state curve of the distribution network.
评估模块，包括：Assessment modules include:
风险承受等级评估模块，用于根据配电网所在区域的历史环境数据、历史气象数据及历史地貌数据对配电网的风险承受能力进行评估。The risk tolerance level assessment module is used to assess the risk tolerance of the distribution network based on the historical environmental data, historical meteorological data and historical geomorphological data of the area where the distribution network is located.
恢复力评估模块，用于根据配电网的弹性结合配电网的风险承受等级对配电网的恢复力进行评估。The resilience assessment module is used to assess the resilience of the distribution network according to the elasticity of the distribution network and the risk tolerance level of the distribution network.
弹性优化模块，用于采集配电网恢复过程中的各项指标数据，根据所采集的恢复数据对配电网的弹性恢复力进行相应的优化。The elasticity optimization module is used to collect various indicator data during the distribution network recovery process and optimize the elastic recovery capacity of the distribution network accordingly based on the collected recovery data.
实时监测模块，用于对多个配电网所在区域的灾害类型和配电网数据进行实时监测，并根据监测的数据实时计算多个配电网的弹性指标，将计算得到的配电网实时弹性指标与预设的配电网弹性指标阈值进行对比，判断当前配电网弹性指标是否存在风险，并根据风险等级做出相应的预警提示，能够对多个配电网的弹性指标进行实时监测，并根据监测结果判断当前的风险承受能力，并根据风险承受情况提供相应的优化同时给出相应的风险预警，方便维修人员及时了解配电网的实时工作情况，提高了配电网的抢修效率，避免了配电网出现故障，影响正常的使用。The real-time monitoring module is used to monitor the disaster types and distribution network data in the areas where multiple distribution networks are located in real time, and calculate the elasticity indicators of multiple distribution networks in real time based on the monitored data, compare the calculated real-time elasticity indicators of the distribution network with the preset distribution network elasticity indicator threshold, judge whether there is a risk in the current distribution network elasticity indicator, and make corresponding early warning prompts according to the risk level. It can monitor the elasticity indicators of multiple distribution networks in real time, judge the current risk tolerance according to the monitoring results, and provide corresponding optimization according to the risk tolerance situation. At the same time, it gives corresponding risk warnings, which is convenient for maintenance personnel to understand the real-time working conditions of the distribution network in time, improve the emergency repair efficiency of the distribution network, and avoid failures in the distribution network that affect normal use.
监测模块，包括：Monitoring modules, including:
实时监测模块，用于对多个配电网所在区域的灾害类型和配电网数据进行实时监测，并根据监测的数据实时计算当前配电网的弹性指标。The real-time monitoring module is used to monitor the disaster types and distribution network data in the areas where multiple distribution networks are located in real time, and calculate the elasticity indicators of the current distribution network in real time based on the monitored data.
对比模块，用于将计算得到的多个配电网实时弹性指标与该配电网预设的配电网弹性指标阈值进行对比。The comparison module is used to compare the calculated multiple real-time elasticity indicators of the distribution network with the distribution network elasticity indicator thresholds preset for the distribution network.
判断模块，用于根据对比模块所对比的结果判断当前配电网弹性指标是否存在风险，并根据风险等级做出相应的预警提示。The judgment module is used to judge whether there is a risk in the current distribution network elasticity index according to the comparison results of the comparison module, and make corresponding early warning prompts according to the risk level.
可视化展示模块，用于将多个配电网的实时弹性指标、风险判断的结果及优化方案进行相应的可视化展示。The visualization module is used to visualize the real-time elasticity indicators, risk assessment results and optimization plans of multiple distribution networks.
可视化展示模块，包括：Visual display module, including:
弹性指标展示模块，用于将监测模块所监测的多个配电网的实时弹性指标进行可视化展示。The elasticity indicator display module is used to visualize the real-time elasticity indicators of multiple distribution networks monitored by the monitoring module.
评估展示模块，用于将评估模块所评估的多个配电网所能承受的灾害等级进行可视化展示，并根据风险等级的高低，优先显示风险等级高的配电网，使得维修人员能够快速发现配电网的异常情况，能够针对风险高的优先显示，及时处理，提高了配电网的抢修效率，进而保证了配电网的正常使用。The evaluation and display module is used to visualize the disaster levels that multiple distribution networks evaluated by the evaluation module can withstand, and give priority to displaying distribution networks with high risk levels according to the risk levels, so that maintenance personnel can quickly discover abnormal conditions in the distribution network, and can give priority to displaying and handling high-risk conditions in a timely manner, thereby improving the emergency repair efficiency of the distribution network and ensuring the normal use of the distribution network.
优化展示模块，用于根据多个弹性配电网所能承受的灾害等级匹配相应的优化方法，并将优化方法以及优化过程进行可视化展示，方便维修人员清晰的了解配电网的弹性性能以及所能承受的风险等级，并根据所能承受的风险等级匹配相应的优化方案，使得维修人员能够快速对配电网的弹性性能进行优化，保证了配电网的正常工作。The optimization display module is used to match the corresponding optimization methods according to the disaster levels that multiple elastic distribution networks can withstand, and to visualize the optimization methods and optimization processes, so that maintenance personnel can clearly understand the elastic performance of the distribution network and the risk level it can withstand, and match the corresponding optimization plan according to the risk level that can be tolerated, so that maintenance personnel can quickly optimize the elastic performance of the distribution network and ensure the normal operation of the distribution network.
为了能够更好的实现一种弹性配电网全景信息可视化监测系统的工作方法，包括以下步骤：In order to better realize a working method of a panoramic information visualization monitoring system of a flexible distribution network, the following steps are included:
步骤一：对多个配电网所在区域的历史灾害类型以及多个配电网数据进行分别采集，并将采集的结果进行分类储存，能够同时了解多个配电网的情况，进而对多个配电网的历史弹性指数进行计算。Step 1: Collect the historical disaster types and data of multiple distribution networks in the areas where multiple distribution networks are located respectively, and classify and store the collected results, so as to understand the situations of multiple distribution networks at the same time, and then calculate the historical elasticity index of multiple distribution networks.
步骤二：根据多个配电网所在区域的历史灾害类型结合配电网数据，对配电网的受灾情况和恢复过程进行分析，计算当前配电网的弹性指标，能够同时了解多个配电网的历史弹性指标。Step 2: Based on the historical disaster types in the areas where multiple distribution networks are located and the distribution network data, the disaster situation and recovery process of the distribution network are analyzed, and the elasticity index of the current distribution network is calculated, so that the historical elasticity index of multiple distribution networks can be understood at the same time.
步骤三：根据计算出配电网弹性指标预设配电网弹性指标阈值，并对多个配电网的风险承受能力进行评估，根据风险承受能力的分析结果匹配相应的优化方案，能够了解多个配电网的风险承受能力，并根据风险承受能力提出相应的优化方案，使得维修人员能够快速的了解多个配电网的风险承受能力，并根据优化方案做出对应的维修策略，提高了配电网的抢修效率，避免了配电网出现故障，影响正常的使用。Step 3: Preset the distribution network elasticity index threshold based on the calculated distribution network elasticity index, and evaluate the risk tolerance of multiple distribution networks. Match the corresponding optimization plan according to the risk tolerance analysis results, so as to understand the risk tolerance of multiple distribution networks and propose corresponding optimization plans based on the risk tolerance, so that maintenance personnel can quickly understand the risk tolerance of multiple distribution networks and make corresponding maintenance strategies according to the optimization plan, thereby improving the emergency repair efficiency of the distribution network and avoiding failures in the distribution network that affect normal use.
步骤四：对多个配电网所在区域的灾害类型和配电网数据进行实时监测，并计算多个配电网的实时弹性指标，将计算得到的配电网的实时弹性指标与预设的配电网弹性指标阈值进行对比，判断当前配电网弹性指标是否存在风险。Step 4: Conduct real-time monitoring of the disaster types and distribution network data in the areas where multiple distribution networks are located, and calculate the real-time elasticity indicators of multiple distribution networks. Compare the calculated real-time elasticity indicators of the distribution networks with the preset distribution network elasticity indicator thresholds to determine whether there are risks in the current distribution network elasticity indicators.
步骤五：若配电网存在风险，则对风险进行等级划分，并根据风险等级的高低由高到低进行可视化显示，方便维修人员能够直观的了解配电网的实时工作情况，根据配电网的实时情况做出对应的调整。Step 5: If there are risks in the distribution network, the risks are classified and visualized from high to low according to the risk levels, so that maintenance personnel can intuitively understand the real-time working conditions of the distribution network and make corresponding adjustments according to the real-time conditions of the distribution network.
需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
尽管已经示出和描述了本发明的实施例，对于本领域的普通技术人员而言，可以理解在不脱离本发明的原理和精神的情况下可以对这些实施例进行多种变化、修改、替换和变型，本发明的范围由所附权利要求及其等同物限定。Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
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| CN114598333A (en) * | 2020-12-03 | 2022-06-07 | 华为技术有限公司 | Channel coding and decoding method and related device |
| US20220344936A1 (en) * | 2021-04-26 | 2022-10-27 | One Concern, Inc. | Estimation of distribution network recovery after disaster |
| WO2022241056A1 (en) * | 2021-05-11 | 2022-11-17 | Electricfish Energy Inc. | System and method for electrical grid management, risk mitigation, and resilience |
| KR20230007748A (en) * | 2021-07-06 | 2023-01-13 | 한국전력공사 | Apparatus and method for analyzing microgrid to improve resilience |
| CN113674099B (en) * | 2021-08-27 | 2022-07-05 | 中国农业科学院农业环境与可持续发展研究所 | A comprehensive risk assessment method for apple drought and flood disasters |
| CN113810792B (en) * | 2021-11-19 | 2022-02-18 | 南京绛门信息科技股份有限公司 | Edge data acquisition and analysis system based on cloud computing |
| CN114358619A (en) * | 2022-01-08 | 2022-04-15 | 西安交通大学 | Double-layer assessment method and system for elastic power distribution network resilience assessment |
| CN115640936A (en) * | 2022-09-05 | 2023-01-24 | 浙江华电器材检测研究院有限公司 | Power distribution network elasticity evaluation method, device, equipment and readable storage medium |
| CN116090819A (en) * | 2022-12-27 | 2023-05-09 | 贵州电网有限责任公司 | Power distribution network risk situation prediction method based on association rule |
| CN116388161A (en) * | 2023-03-21 | 2023-07-04 | 国网冀北电力有限公司电力科学研究院 | Method and device for determining resilience of distribution network |
-
2023
- 2023-10-09 CN CN202311297325.6A patent/CN117335570B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113191687A (en) * | 2021-05-25 | 2021-07-30 | 广东电网有限责任公司广州供电局 | Elastic power distribution network panoramic information visualization method and system |
| CN116777264A (en) * | 2023-05-23 | 2023-09-19 | 国网北京市电力公司 | Determination method and evaluation system of new distribution network resilience index considering energy storage |
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