WO2015010482A1 - 一种基于cim/e交互的跨系统ems状态估计的方法 - Google Patents

一种基于cim/e交互的跨系统ems状态估计的方法 Download PDF

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WO2015010482A1
WO2015010482A1 PCT/CN2014/076229 CN2014076229W WO2015010482A1 WO 2015010482 A1 WO2015010482 A1 WO 2015010482A1 CN 2014076229 W CN2014076229 W CN 2014076229W WO 2015010482 A1 WO2015010482 A1 WO 2015010482A1
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Prior art keywords
cim
calculation
power grid
model
state estimation
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PCT/CN2014/076229
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English (en)
French (fr)
Inventor
伍凌云
王民昆
李焱
徐杰
李强
路轶
邓扶摇
张国芳
席骊瑭
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国网四川省电力公司
中国电力科学研究院
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Publication of WO2015010482A1 publication Critical patent/WO2015010482A1/zh

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Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20—Smart grids as enabling technology in buildings sector
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • 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
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Definitions

  • the invention relates to the field of energy management in a power system center, and in particular to a method based on ( ⁇ / ⁇ interaction for cross-system EMS state estimation).
  • the state estimation calculations between the existing energy management systems are independent, that is, only the state estimation results of directly collecting or transferring data within the system construction range can be calculated.
  • the object of the present invention is to provide a method for estimating cross-system EMS state based on ⁇ / ⁇ interaction, and the state estimation between the existing energy management systems is independent of each other, and the state estimation interaction calculation between energy management systems at different levels cannot be realized.
  • the problem is to provide a method for estimating cross-system EMS state based on ⁇ / ⁇ interaction, and the state estimation between the existing energy management systems is independent of each other, and the state estimation interaction calculation between energy management systems at different levels cannot be realized.
  • the present invention adopts the following technical solutions:
  • a cross-system EMS (Energy Management System) state estimation based on ( ⁇ / ⁇ (Common Information Model / E Language File) interaction including the following steps:
  • Step one extracting the grid computing model from the source system and the data acquisition profile of the grid operation at the moment, and packaging the grid data section of the grid equipment, the topology description, and the grid computing model export time to ( ⁇ / ⁇ file;
  • Step 2 Transfer the ( ⁇ / ⁇ file period to the target system by scheduling the data network;
  • Step 3 Parsing ( ⁇ / ⁇ file in the target system, and restoring to the source system grid-like computing model to collect data in real time;
  • Step 4 Perform state estimation calculation in the target system, and output the calculation result.
  • a further technical solution is that the target system is parsed ( ⁇ / ⁇ file, restored to the source-end grid-like computing model, quasi-real-time data collection, is the periodic extraction, verification and SE of the grid computing model and the grid data (state estimation) parallel computing.
  • the verification mainly includes a model correctness check and a quasi-real-time data pre-detection
  • the model correctness check includes an overview of the model check and error information, a device idle/single-ended dangling, and a device information attribute.
  • Error information, quasi-real-time data pre-detection includes observability check, plant station balance check, bus balance check, line measurement conflict at both ends, check information providing interface display, and the SE parallel calculation calculation periodicity Greater than the upload cycle of the source system.
  • a further calculation scheme is that the state estimation calculation is performed in the target system, and after the calculation result is output, it is transmitted or distributed to the browsing terminal by the scheduling management system.
  • the present invention adopts the ( ⁇ / ⁇ file grid model data interaction technology to realize the state estimation calculation across the EMS system, and solves the direct acquisition of the EMS system only in the calculation range. Or the problem of the state estimation result of the data; there is no need to establish the source network model in the target system, and it is not necessary to collect or transfer the real-time data of the grid through the communication protocol in the target system; the heterogeneous EMS can be realized across operating systems and system software platforms. State estimation calculation of the system.
  • FIG. 1 is a schematic flow chart of an embodiment of a method for estimating cross-system EMS state based on ( ⁇ / ⁇ interaction) according to the present invention.
  • FIG. 1 shows an embodiment of an interaction evaluation between a land level and a provincial power dispatch center based on a method for cross-system EMS state estimation based on ( ⁇ / ⁇ interaction) of the present invention:
  • a method based on ( ⁇ / ⁇ interaction for cross-system EMS state estimation comprising the following steps:
  • Step 1 Extract the grid calculation model and the grid operation acquisition data (ie, Scada) section from the EMS system (ie, the source system) of the prefecture-level dispatching center, and export the grid equipment, the topology description, and the grid calculation model to the grid data section at the time of export. Packaged to ( ⁇ / ⁇ file;
  • Step 2 transmitting the ( ⁇ / ⁇ file period to the target system by scheduling the data private network
  • Step 3 Analyze ( ⁇ / ⁇ file in the automation system of the provincial power dispatch control center (ie, the target system), and restore the data to the source grid-like computing model to collect data in real time;
  • Step 4 Perform state estimation calculation in the provincial power dispatch control center automation system, and output the calculation result.
  • the dispatch management system can be configured in the automation system of the provincial power dispatch control center.
  • the above ( ⁇ / ⁇ can be based on the standard IEC61970 grid model.
  • the target system parses ( ⁇ / ⁇ file, restores to the source system grid-like computing model quasi-real-time data collection) It is the extraction, verification and SE parallel calculation of the grid calculation model and grid data.
  • the verification mainly includes model correctness check and quasi-real-time data pre-detection
  • the model correctness check includes Model verification and error information overview, equipment empty/single-ended floating and equipment information attribute error information, quasi-real-time data pre-detection including observability
  • the verification, the station balance check, the bus balance check, the measurement error at both ends of the line, etc., the verification information providing interface is displayed, and the periodicity of the SE parallel calculation calculation is greater than the upload period of the source system.
  • the state estimation calculation is performed in the target system, and after the calculation result is output, the scheduling management system can pass through the integrated information network. Transfer or release to the browsing terminal, as shown in Figure 1, the national and local power companies WEB browsing terminal.
  • the two-level EMS system uses ( ⁇ / ⁇ for model and operational data exchange: the superior EMS system performs state estimation calculation based on the lower EMS system model and data respectively, and the calculation results and statistical information are respectively written into the real-time database and the commercial database. And provide interface display and query.
  • a dedicated data interface server is deployed in the superior EMS system to store model files and operational data files.
  • the lower-level EMS system uses the grid model generation under the state estimation application (the model file in the ⁇ / ⁇ format, the model file contains the scada data section, and uploads to the specified path of the superior EMS system.
  • the upper-level EMS system state estimation application period read analysis ( ⁇ / The file is used for state estimation calculation. Considering that multiple subordinate EMS system models/data files are simultaneously uploaded and the state estimation calculation is started, the calculation program is designed using parallel computing technology.
  • the lower-level EMS system grid model and quasi-real-time data are used ( ⁇ / ⁇ file, and its modeling should ensure system integrity (power, network, load).
  • the external network and the unsettled plant model do equivalent processing, such as the external network
  • the plant station is equivalent to a generator set or load (if the power line is recommended to increase the equivalent generator, the power line is recommended to increase the equivalent load), and the user without real-time measurement data becomes equivalent to the load model.
  • the model and scada section data should be included, and the model and section data should match each other.
  • the superior EMS system shall perform pre-verification of the received ( ⁇ / ⁇ model and quasi-real-time data, mainly including model correctness check and quasi-real-time data pre-test.
  • Model correctness check includes (model check and error information) Overview, equipment empty / single-ended floating and equipment information attribute error information);
  • quasi-real-time data pre-test includes observability check, plant station balance check, bus balance check, line measurement conflicts, etc.
  • Information providing interface display includes
  • the model verification program When the sub-EMS system power grid model changes, it should promptly request the provincial side to verify the new model.
  • the model verification result is displayed through the interface, and the verification includes information such as connection point error, incomplete parameters, and device hanging.
  • the model verification program also writes the model update time to the history library to provide an interface query.
  • State estimation calculation The upper-level EMS system state estimation application starts calculation through the resident process cycle, and the calculation cycle should be no less than the lower level ( ⁇ / ⁇ model and data upload cycle. State estimation first ( ⁇ / ⁇ file content is written to adjust EMS real-time database, read simultaneously) The state estimation calculation is carried out into the memory library.
  • the state estimation mainly includes network topology analysis, measurement system analysis, measurement pre-verification function, state estimation calculation, bad data detection and identification.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

本发明公开了电力系统中心的能量管理领域，具体涉及一种基于CIM/E交互的跨系统EMS状态估计的方法，包括以下步骤：从源系统中提取电网计算模型和该时刻电网运行采集数据断面，将电网设备、拓补描述、电网计算模型导出时刻的电网数据断面封装到CIM/E文件；通过调度数据网络将CIM/E文件周期传送至目标系统；在目标系统中解析CIM/E文件，还原为源系统电网状的计算模型准实时采集数据；在目标系统中进行状态估计计算，输出计算结果。本发明解决了EMS系统只能计算建摸范围内直接采集或转收数据的状态估计结果的问题；无需在目标系统中建立源端电网模型，无需在目标系统中通过通信规约采集或转收电网实时数据；可实现跨操作系统、系统软件平台异构EMS系统的状态估计计算。

Description

一种基于 CIM/E交互的跨系统 EMS状态估计的方法 技术领域
本发明涉及电力系统中心的能量管理领域， 具体涉及一种基于（ΠΜ/Ε交互的跨系统 EMS 状态估计的方法。
背景技术
由于电网规模日益增加， 维持电网稳定运行的调整控制的可靠性及准确性要求不断增 加， 现在电力系统上下级及平行调度中心的能量管理系统需要进行越来越多的交互式计算， 以获取电网全局或局部的运行状态信息并给出对应的分析结果和控制策略。
而现有能量管理系统间的状态估计计算都是独立的， 即只能计算系统建摸范围内直接采 集或转收数据的状态估计结果。
发明内容
本发明的目的在于提供一种基于 (ΠΜ/Ε交互的跨系统 EMS状态估计的方法， 解决的现有的 能量管理系统间的状态估计相互独立， 不能实现各级能量管理系统间状态估计交互计算的问 题。
为解决上述的技术问题， 本发明采用以下技术方案：
一种基于 (ΠΜ/Ε (公用信息模型 /E语言文件） 交互的跨系统 EMS (能量管理系统） 状态估 计， 包括以下步骤：
步骤一， 从源系统中提取电网计算模型和该时刻电网运行采集数据断面， 将电网设备、 拓补描述、 电网计算模型导出时刻的电网数据断面封装到 (ΠΜ/Ε文件；
步骤二， 通过调度数据网络将 (ΠΜ/Ε文件周期传送至目标系统；
步骤三， 在目标系统中解析 (ΠΜ/Ε文件， 还原为源系统电网状的计算模型准实时采集数 据；
步骤四， 在目标系统中进行状态估计计算， 输出计算结果。
更进一步的技术方案是， 所述目标系统中解析 (ΠΜ/Ε文件， 还原为源端电网状的计算模 型准实时采集数据，是对电网计算模型和电网数据进行周期性提取、 校验和 SE (状态估计）并 行计算。
更进一步的技术方案是， 所述校验主要包含模型正确性校验和准实时数据预检测， 模型 正确性校验包含模型校验及错误信息总览、设备空挂 /单端悬空及设备信息属性错误信息， 准 实时数据预检测包含可观测性校验、 厂站平衡校验、 母线平衡校验、 线路两端量测冲突等， 校验信息提供界面展示， 所述 SE并行计算计算的周期性大于源系统的上传周期。 更进一步的计算方案是， 所述在目标系统中进行状态估计计算， 输出计算结果后， 经过 调度管理系统向浏览终端传输或发布。
与现有技术相比， 本发明的有益效果是： 本发明采用了 (ΠΜ/Ε文件电网模型数据交互技术 实现跨 EMS系统的状态估计计算， 解决了 EMS系统只能计算建摸范围内直接采集或转收数据的 状态估计结果的问题； 无需在目标系统中建立源端电网模型， 无需在目标系统中通过通信规 约采集或转收电网实时数据；可实现跨操作系统、系统软件平台异构 EMS系统的状态估计计算。 附图说明
图 1为本发明一种基于 (ΠΜ/Ε交互的跨系统 EMS状态估计的方法一个实施例的流程示意 图。
具体实施方式
为了使本发明的目的、 技术方案及优点更加清楚明白， 以下结合附图及实施例， 对本发 明进行进一步详细说明。 应当理解， 此处所描述的具体实施例仅仅用以解释本发明， 并不用 于限定本发明。
图 1示出了本发明一种基于 (ΠΜ/Ε交互的跨系统 EMS状态估计的方法的应用于地级和省级 电力调度中心之间交互评估的一个实施例：
一种基于 (ΠΜ/Ε交互的跨系统 EMS状态估计的方法， 包括以下步骤：
步骤一， 从地级调度中心 EMS系统 （即源系统） 中提取电网计算模型和该时刻电网运行 采集数据 （即 Scada)断面， 将电网设备、 拓补描述、 电网计算模型导出时刻的电网数据断面 封装到 (ΠΜ/Ε文件；
步骤二， 通过调度数据专网将 (ΠΜ/Ε文件周期传送至目标系统；
步骤三， 在省级电力调度控制中心自动化系统 （即目标系统） 中解析 (ΠΜ/Ε文件， 还原 为源端电网状的计算模型准实时采集数据；
步骤四， 在省级电力调度控制中心自动化系统中进行状态估计计算， 输出计算结果。 而 省级电力调度控制中心自动化系统中可以配置调度管理系统。
作为优选， 上述 (ΠΜ/Ε可以是基于标准的 IEC61970电网模型。
根据本发明一种基于 (ΠΜ/Ε交互的跨系统 EMS状态估计的方法的一个优选实施例， 所述目 标系统中解析 (ΠΜ/Ε文件， 还原为源系统电网状的计算模型准实时采集数据，是对电网计算模 型和电网数据进行提取、 校验和 SE并行计算。
根据本发明一种基于 (ΠΜ/Ε交互的跨系统 EMS状态估计的方法的另一个优选实施例， 所 述校验主要包含模型正确性校验和准实时数据预检测， 模型正确性校验包含模型校验及错误 信息总览、设备空挂 /单端悬空及设备信息属性错误信息， 准实时数据预检测包含可观测性校 验、 厂站平衡校验、 母线平衡校验、 线路两端量测冲突等， 校验信息提供界面展示， 所述 SE 并行计算计算的周期性大于源系统的上传周期。
根据本发明一种基于 (ΠΜ/Ε交互的跨系统 EMS状态估计的方法的一个优选实施例， 所述在 目标系统中进行状态估计计算， 输出计算结果后， 经过调度管理系统可以通过综合信息网向 浏览终端传输或发布， 如图 1中所示省、 地各电力公司 WEB浏览终端。
详细实现过程如下：
举例两级 EMS系统之间用（ΠΜ/Ε进行模型和运行数据的交换：上级 EMS系统依据下级 EMS 系统模型和数据分别进行状态估计计算， 计算结果和统计信息分别写入实时数据库和商用数 据库， 并提供界面展示和査询。
( 1 ) 电网模型和运行数据交换
在上级 EMS系统部署专用数据接口服务器， 存放模型文件和运行数据文件。 下级 EMS系 统使用状态估计应用下的电网模型生成（ΠΜ/Ε格式的模型文件， 模型文件中包含 scada数据 断面， 上传至上级 EMS系统指定路径。 上级 EMS系统状态估计应用周期读取解析（ΠΜ/Ε文件 进行状态估计计算。考虑到多个下级 EMS系统模型 /数据文件同时上传， 同时启动状态估计计 算， 计算程序设计采用并行计算技术。
( 2 ) 模型数据要求及校验
下级 EMS系统电网模型和准实时数据均使用（ΠΜ/Ε文件， 其建模应保证系统完整性（电 源、 网络、 负荷）。 对外网和未采集厂站模型做等值处理， 如将外网厂站等值成发电机组或负 荷（如受电线路建议增加等值发电机， 送电线路建议增加等值负荷）， 无实时量测数据的用户 变等值成负荷模型。 （ΠΜ/Ε文件中应包含模型和 scada断面数据， 模型与断面数据应相互匹 配。
上级 EMS系统应对收到的（ΠΜ/Ε模型和准实时数据进行量测预校验， 主要包含模型正确 性校验和准实时数据预检测。 模型正确性校验包含 （模型校验及错误信息总览、 设备空挂 / 单端悬空及设备信息属性错误信息）； 准实时数据预检测包含可观测性校验、 厂站平衡校验、 母线平衡校验、 线路两端量测冲突等， 校验信息提供界面展示。
模型 /数据交换方式及相关接口。
下级 EMS系统电网模型发生变更时， 应及时主动请求省调侧对新模型进行校验。 模型校 验结果通过界面展示， 校验包含连接点错误、 参数不完整、 设备空挂等信息。 模型校验程序 同时将模型更新时间写入历史库， 提供界面査询。
( 3 ) 状态估计计算 上级 EMS系统状态估计应用通过常驻进程周期启动计算， 计算周期应不小于下级 (ΠΜ/Ε模 型和数据上传周期。 状态估计先 (ΠΜ/Ε文件内容的写入省调 EMS实时数据库， 同时读入到内存 库中进行状态估计计算。状态估计主要包含网络拓扑分析、 量测系统分析、 量测预校验功能、 状态估计计算、 不良数据检测与辨识。
当然本发明可同样应用于平级能量管理系统间之间的交互评估原理也相同。

Claims

权 利 要 求 书
1、 一种基于 CIM/E交互的跨系统 EMS状态估计的方法， 其特征在于包括以下步骤： 步骤一，从源系统中提取电网计算模型和该时刻电网运行采集数据断面，将电网设备、 拓补描述、 电网计算模型导出时刻的电网数据断面封装到 C頂 /E文件：
步骤二， 通过调度数据网络将 C頂/ Έ文件周期传送至目标系统；
步骤三， 在目标系统中解析 CIM/E文件， 还原为源系统电网的计算模型和准实时采集 数据；
步骤四， 在目标系统中进行状态估计计算， 输出计算结果。
、 根据权利要求 1所述的一种基于 CIM/E交互的跨系统 EMS状态估计的方法，其特征在于 : 所述目标系统中解析 CIM/E文件， 还原为源端电网的计算模型和准实时采集数据，是对 源端 EMS系统电网计算模型和电网数据进行周期性提取、 校验和 SE并行计算。
、 根据权利要求 2所述的一种基于 CIM/E交互的跨系统 EMS状态估计的方法，其特征在于 : 所述校验主要包含模型正确性校验和准实时数据预检测，模型正确性校验包含模型校验 及错误信息总览、 设备空挂 /单端悬空及设备信息属性错误信息， 准实时数据预检测包 含可观测性校验、 厂站平衡校验、 母线平衡校验、 线路两端量测冲突等， 校验信息提供 界面展示， 所述 SE并行计算计算的周期性大于源系统的上传周期。
、 根据权利要求 1所述的一种基于 CIM/E交互的跨系统 EMS状态估计的方法，其特征在于 : 所述在目标系统中进行状态估计计算，输出计算结果后， 经过调度管理系统向浏览终端 传输或发布。
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