变压器停运模型及负载性能研究

发布时间：2018-01-09 11:41

本文关键词：变压器停运模型及负载性能研究　出处：《浙江大学》2017年硕士论文　论文类型：学位论文

【摘要】：电力系统的稳定运行关系到政治、经济安全以及社会安定,因此近年来受到了国家及电网企业日益递增的关注。变压器是电网传输、变电、配电等环节不可或缺的设备,可靠性亟待研究,其指标包括多源数据的处理、设备状态评价、故障率确定、负载性能评估等几部分。为此本文开展了以下研究:首先,针对用于变压器状态评价的数据来源多样、平台繁多及数据质量参差不齐的问题,提出一种变压器多源数据的处理系统。在分析变压器状态评价数据特点的基础上,设计了包含数据跨平台接入、预处理、初步清洗、质量评价模型、规范化转制、数据输出在内的系统功能。此外,将变压器多源数据处理系统应用于大数据平台,分析异构大数据的分布式存储和高效检索技术;重点阐述了面向大数据分析的并行化技术,并搭建大数据全耦合分析的模型框架。旨在为变压器设备及电网系统评价提供数据支持。其次,考虑现有状态评价模式和方法较为固定,过于强调硬性指标的问题,以及当前系统风险评估时仅采样变压器故障率作为变压器间隔节点故障率的问题,提出了一种基于差异化状态评价的变压器间隔停运模型。根据所处场景采用功能分解方法,计算与开关设备关联的二次、量测设备故障率,并修正开关设备的故障率,基于可靠性分析,得出变压器间隔停运率。研究结果表明,运用变压器差异化状态评价结果的得到变压器间隔停运模型,能为风险评估中提取变压器节点停运率提供更精确的数据。最后,在上述研究的基础上,针对电网建设成本与高用电量需求的矛盾,以及变压器过负荷运行仅从热点温度建模、顶层油温模型考虑的现状,对影响过负荷性能的因素进行研究,提出一种基于改进热点温度、设备故障率以及经济盈亏等多因素的变压器过负荷性能评价模型Hot spot temperature-Failure probability-Economy-Transformer Load Capacity(HFE-TLC)。基于修正热点温度约束及故障率约束生成满足安全性需求的过负荷运行预案;提出概率损失概念,结合变压器经济盈亏性指标进行经济性评估;分析变压器服役时间、计划运行时间等因素对短期过负荷运行的影响,得出变压器过负荷性能综合评价及经济最优方案。研究结果表明,修正后的热点温度模型能更精确地表征变压器实际热点温度,多因素驱动的过负荷性能评价模型在短期停电检修场景下能给出运行综合工程决策,该决策对实际工况响应迅速,兼顾安全与经济性。
[Abstract]:The stability of the power system operation is related to the political, economic security and social stability, so in recent years by the national power grid enterprises and increasing attention. Transformer is the power transmission, substation, distribution and other aspects of the indispensable equipment, the reliability need to be studied. The indexes include the processing of multi-source data, equipment condition evaluation, determine the failure rate. The load performance evaluation of several parts. This paper carried out the following research: first, for transformer condition evaluation of diverse data sources, and data of the platform are uneven quality problems, proposed a multi-source data processing system of transformer. Based on the analysis of transformer condition evaluation data on the characteristics of the design, including data cross platform access. The pretreatment, preliminary cleaning, quality evaluation model, standardized system, system functions, data output. In addition, the multi-source data transformer The system is applied to large data analysis platform, distributed heterogeneous storage of large data and efficient retrieval technology; focuses on the oriented parallelization techniques for data analysis, and build a model framework of big data. Full coupling analysis in order to provide data support for the transformer and power system evaluation. Secondly, considering the current status and evaluation model the method is relatively fixed, too much emphasis on the rigid index, and the current system of risk assessment of transformer fault only sampling rate as the transformer interval node failure rate, proposes a transformer state evaluation based on the difference of outage model according to the scene. Using the function decomposition method, computing and switching equipment association two times. Measuring equipment failure rate, failure rate of equipment and fixed switch, based on the reliability analysis, the transformer outage rate. The results show that the use of Transformer state evaluation results obtained different transformer outage model, for the risk assessment of transformer extraction node outage rate and provide more accurate data. Finally, on the basis of the above research, in view of the contradiction between the demand for power grid construction and high cost, and the transformer overload operation only from the hot spot temperature modeling, present situation of top oil temperature the model takes into account, to carry out research on the influencing factors of load performance, and proposes an improved hot spot temperature based on multi factor transformer equipment failure rate and the economic profit and loss of load performance evaluation model of Hot spot temperature-Failure probability-Economy-Transformer Load Capacity (HFE-TLC). The modified hot spot temperature constraint and failure rate constraint generation to meet the load operation safety plan based on the demands of; put forward the concept of probability of loss, combined with the economic indicators of the profits and losses of transformer Economic evaluation; analysis of transformer service time plan, running time and other factors on the short-term effect of overload operation, the comprehensive evaluation of transformer load performance and economic optimum solutions. The results show that the hot spot temperature of the modified model can more accurately characterize the actual transformer hot spot temperature, multi factor driven load performance evaluation model this comprehensive project operation decision in the short term maintenance outage scenario, the decision to respond quickly to the actual working conditions, taking into account the safety and economy.

【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM41

【相似文献】