智能变电站信息流定量分析与优化控制研究
发布时间：2019-07-08 15:28
【摘要】：作为智能电网的关键节点，智能变电站以信息共享为根本理念，以网络化传输作为实现手段，以信息流作为基本载体，既承担着保护、计量、控制等重要业务的实现，又是构筑全网统一数据平台的基石，成为智能电网发展与创新的理想突破口，近年来取得了很大发展。然而，目前智能变电站分析方法和手段停留在定性的层面，具体表现为规划与设计依靠流量估算或者设计人员的经验判断、运行与维护依赖第三方的网络分析仪或者实测、可靠性的保证依赖于设备无约束的冗余，缺乏科学严密的推导、分析和论证，根本原因在于信息流定量分析和优化控制方法及手段的缺失。本文以智能变电站信息流为研究对象，针对信息流的定量分析、优化控制方法及手段问题展开研究。 针对智能变电站信息流稳态的定量分析方法缺乏问题，本文首次构建了智能变电站信息流的潮流模型和计算方法，并结合报文广播域的划分建立了能够反映节点间逻辑连接关系的逻辑网络模型，然后从各信息源发包行为的不同出发，建立了节点模型。进一步地，给出了信息流潮流模型，并将信息流潮流计算分为稳态流量、极限流量、特定应用场景流量以及网络异常流量4类，满足了对通信网络不同运行方式进行分析的需求。最后给出了典型智能变电站信息流潮流计算的算例，并通过与网络分析仪实测的结果进行比对，验证了所提模型和方法的有效性。 本文进一步提出了基于OPNET(Optimized Network Engineering Tools)的智能变电站信息流动态性能建模与仿真方法，分析了IEC61850标准、IED(Intelligent ElectronicDevice)、交换机、通信网络、仿真场景等关键对象的建模要求，利用OPNET模型库和自定义建模方法，建立智能变电站信息流动态性能仿真平台，以典型变电站为对象，分析了排队策略、交换路径、流控策略等关键因素对信息流动态性能的影响，为开展智能变电站信息流动态性能分析提供了一个有效的研究工具。 针对智能变电站信息流的交换过程的不确定问题，本文首次提出了“交换延时确定、交换路径确定、交换流量确定”的确定性交换技术。研究了信息流的不确定交换问题，，提出确定性交换技术，研究了基于SCD(Substation Configuration Description)解析的信息流识别与标记、基于时间戳的信息流交换延时测量、基于APPID(Application Identification)的信息流交换路径、基于层次化调度的信息流交换流量控制四大核心技术。进一步，与交换机厂家合作研发了具有电力系统业务感知能力的智能交换机，为破解智能变电站信息流的实时性可靠性问题提供可靠的技术手段。 基于以上成果，本文首次提出了具备确定性交换、“网采网跳”、共网传输、不依赖外部时钟同步、电力系统业务感知五个主要特征的智能变电站通信网络优化方案，以某220kV典型变电站为实例，以信息流分析为基本方法，分析了优化方案的稳态和动态性能，构建了不依赖于外部时钟的采样值同步实验系统，验证本文方案的可行性和优越性。 本文工作得到国家自然科学基金项目（51377026）、广东省自然科学基金（S2013010012885）、广东省科技计划项目（2010B01090028）以及南方电网公司科技项目（K-GD2011-505）的资助，部分研究成果已经在电网运行部门的实际工作中得到应用，验证了本文工作的正确性和有效性，取得了良好的社会和经济效益。
文内图片：
图片说明：智能变电站结构示意图
[Abstract]:As the key node of the intelligent power grid, the intelligent substation is based on the information sharing as the basic idea, the information flow is taken as the basic carrier, the information flow is used as the basic carrier, the realization of important business such as protection, measurement and control is carried out, and the foundation stone of the unified data platform of the whole network is also constructed, As the ideal breakthrough of the development and innovation of the intelligent power grid, a great development has been made in recent years. however, that current method and means of the intelligent substation stay at a qualitative level, embody in that the planning and design rely on the flow estimation or the experience of the designer to judge, run and maintain a network analyzer or an actual measurement relying on a third party, The guarantee of the reliability depends on the redundancy of the equipment's unconstraint and the lack of scientific rigorous derivation, analysis and demonstration. The root cause is the lack of information flow quantitative analysis and optimization control methods and means. Based on the information flow of intelligent substation, this paper studies the quantitative analysis, optimization control method and means of information flow. In view of the lack of the problem of the quantitative analysis of the steady state of the information flow of the intelligent substation, the power flow model and the calculation method of the information flow of the intelligent substation are constructed for the first time, and the logical network model capable of reflecting the logical connection relation between the nodes is established by combining the division of the message broadcast domain. and then, the node model is established according to the different starting behaviors of the information sources, In this paper, a flow power flow model is given, and the flow of information flow is divided into steady-state flow, limit flow, specific application scene flow and network abnormal traffic class 4, and the need for analyzing the different operation modes of the communication network is satisfied. Finally, an example of the flow power flow calculation of the typical intelligent substation is given, and the comparison is made with the results measured by the network analyzer, and the validity of the proposed model and method is verified. In this paper, an intelligent substation information flow dynamic performance modeling and simulation method based on OPNET (Optimized Network Engineering Tools) is presented. The modeling requirements of key objects such as IEC61850 standard, IED (IED), switch, communication network, simulation scene and other key objects are analyzed, and the OPNET model base and user-defined building are used. In this paper, the dynamic performance simulation platform of the intelligent substation information flow is established, and the dynamic performance of the information flow is analyzed by the key factors such as the queuing strategy, the exchange path and the flow control strategy. It provides an effective research for the dynamic performance analysis of the intelligent substation information flow. In view of the uncertain problem of the exchange process of the information flow of the intelligent substation, the paper put forward the determination of the "exchange delay determination, exchange path determination, exchange flow determination" for the first time. This paper studies the problem of the exchange of information in the information flow, and proposes a deterministic switching technique. The information flow identification and marking based on the analysis of the SCD (Substation Configuration Description), the time-stamp based information flow exchange and time-delay measurement, and the information based on the APPID (Application Identification) are studied. flow exchange path, information flow exchange flow control based on hierarchical scheduling In order to solve the problem of real-time reliability of the intelligent substation information flow, the intelligent switch with power system service sensing ability is developed in cooperation with the switch manufacturer. Based on the above results, this paper first proposed the intelligent substation communication network optimization scheme with the five main characteristics of deterministic switching, "net-net", co-network transmission, independent external clock synchronization and power system service perception. Based on the analysis of the information flow as an example, the steady state and the dynamic performance of the optimization scheme are analyzed, and the sampling value synchronous experimental system independent of the external clock is constructed, and the scheme of this paper is verified. Feasibility and superiority. The work of this paper is supported by the National Natural Science Foundation of China (51377026), the Guangdong Natural Science Fund (S2013010012885), the Guangdong Science and Technology Plan Project (2010 B01090028) and the Science and Technology Project of the Southern Power Grid Company (K-GD201 1-505). Some of the research results have been applied in the actual operation of the operation department of the power grid, and the correctness and validity of the work are verified.
【学位授予单位】：华南理工大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：TM63;TM76
文内图片：
图片说明：智能变电站结构示意图
[Abstract]:As the key node of the intelligent power grid, the intelligent substation is based on the information sharing as the basic idea, the information flow is taken as the basic carrier, the information flow is used as the basic carrier, the realization of important business such as protection, measurement and control is carried out, and the foundation stone of the unified data platform of the whole network is also constructed, As the ideal breakthrough of the development and innovation of the intelligent power grid, a great development has been made in recent years. however, that current method and means of the intelligent substation stay at a qualitative level, embody in that the planning and design rely on the flow estimation or the experience of the designer to judge, run and maintain a network analyzer or an actual measurement relying on a third party, The guarantee of the reliability depends on the redundancy of the equipment's unconstraint and the lack of scientific rigorous derivation, analysis and demonstration. The root cause is the lack of information flow quantitative analysis and optimization control methods and means. Based on the information flow of intelligent substation, this paper studies the quantitative analysis, optimization control method and means of information flow. In view of the lack of the problem of the quantitative analysis of the steady state of the information flow of the intelligent substation, the power flow model and the calculation method of the information flow of the intelligent substation are constructed for the first time, and the logical network model capable of reflecting the logical connection relation between the nodes is established by combining the division of the message broadcast domain. and then, the node model is established according to the different starting behaviors of the information sources, In this paper, a flow power flow model is given, and the flow of information flow is divided into steady-state flow, limit flow, specific application scene flow and network abnormal traffic class 4, and the need for analyzing the different operation modes of the communication network is satisfied. Finally, an example of the flow power flow calculation of the typical intelligent substation is given, and the comparison is made with the results measured by the network analyzer, and the validity of the proposed model and method is verified. In this paper, an intelligent substation information flow dynamic performance modeling and simulation method based on OPNET (Optimized Network Engineering Tools) is presented. The modeling requirements of key objects such as IEC61850 standard, IED (IED), switch, communication network, simulation scene and other key objects are analyzed, and the OPNET model base and user-defined building are used. In this paper, the dynamic performance simulation platform of the intelligent substation information flow is established, and the dynamic performance of the information flow is analyzed by the key factors such as the queuing strategy, the exchange path and the flow control strategy. It provides an effective research for the dynamic performance analysis of the intelligent substation information flow. In view of the uncertain problem of the exchange process of the information flow of the intelligent substation, the paper put forward the determination of the "exchange delay determination, exchange path determination, exchange flow determination" for the first time. This paper studies the problem of the exchange of information in the information flow, and proposes a deterministic switching technique. The information flow identification and marking based on the analysis of the SCD (Substation Configuration Description), the time-stamp based information flow exchange and time-delay measurement, and the information based on the APPID (Application Identification) are studied. flow exchange path, information flow exchange flow control based on hierarchical scheduling In order to solve the problem of real-time reliability of the intelligent substation information flow, the intelligent switch with power system service sensing ability is developed in cooperation with the switch manufacturer. Based on the above results, this paper first proposed the intelligent substation communication network optimization scheme with the five main characteristics of deterministic switching, "net-net", co-network transmission, independent external clock synchronization and power system service perception. Based on the analysis of the information flow as an example, the steady state and the dynamic performance of the optimization scheme are analyzed, and the sampling value synchronous experimental system independent of the external clock is constructed, and the scheme of this paper is verified. Feasibility and superiority. The work of this paper is supported by the National Natural Science Foundation of China (51377026), the Guangdong Natural Science Fund (S2013010012885), the Guangdong Science and Technology Plan Project (2010 B01090028) and the Science and Technology Project of the Southern Power Grid Company (K-GD201 1-505). Some of the research results have been applied in the actual operation of the operation department of the power grid, and the correctness and validity of the work are verified.
【学位授予单位】：华南理工大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：TM63;TM76
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