| 引用本文: | 熊小伏,王建,袁峻,张南辉,赵渊.时空环境相依的电网故障模型及在电网可靠性
评估中的应用[J].电力系统保护与控制,2015,43(15):28-35.[点击复制] |
| XIONG Xiaofu,WANG Jian,YUAN Jun,ZHANG Nanhui and ZHAO Yuan.Temporal and spatial environments dependent power grid failure methodand its application in power grid reliability assessment[J].Power System Protection and Control,2015,43(15):28-35[点击复制] |
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| 摘要: |
| 传统的电网可靠性评估采用固定不变的元件年均故障率模型，难以适应电力系统短期风险评估需求。电网故障与灾害性天气具有较强的时间相关性，气象灾害具有明显的季节性特征，因此电网风险也具有时间波动性。在描述电网元件故障参数时，需要从原来的一维横向连续时间下的年均值模型，拓展到考虑历史同期(纵向)时间和导致故障的因素，特别是外部气象环境因素，以便更准确地描述时间及环境相依的电网故障率。在传统年均值模型的基础上建立了不同时间尺度、不同气象灾害类型下的元件故障模型，并依据此模型进行电网可靠性评估。按照该方法对西南某省级电网近3年内500 kV输电线路的故障数据进行了分析，对该电网的可靠性进行了评估。计算结果表明，不同时间段电网的可靠性指标与年均值相比具有较大差异，验证了时空环境相依的可靠性评估的必要性。 |
| 关键词: 电网 可靠性 时空环境 气象灾害 多时间尺度 |
| DOI：10.7667/j.issn.1674-3415.2015.15.005 |
| 投稿时间：2014-11-05修订日期：2014-11-28 |
| 基金项目:国家自然科学基金(50977094)；重庆市自然科学基金(CSTC 2011BB6047) |
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| Temporal and spatial environments dependent power grid failure methodand its application in power grid reliability assessment |
| XIONG Xiaofu,WANG Jian,YUAN Jun,ZHANG Nanhui,ZHAO Yuan |
| (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University,
Chongqing 400044, China;Yunnan Power Grid Corporation Kunming Power Supply Bureau, Kunming 650011, China) |
| Abstract: |
| The off-line and fixed annual average failure probability model is used in conventional reliability assessment, it is difficult to adapt to the current needs of power system operation. Power grid faults have great temporal relationship with disastrous weather, and meteorological disasters have distinct seasonal characteristic, thus power grid risk will fluctuate with time change. When descripting power component failure rate, it is necessary to expand from chronological time to historical period and taking consideration of the reasons especially external meteorological environments which cause faults, in order to describe the temporal and spatial environment dependent failure rate. The component failure rate model is established and applied to power grid reliability assessment, based on conventional statistical model in different timescale and under different meteorological disasters. The proposed models are utilized to analyze the 500 kV transmission lines failure data during nearly 3 years, meanwhile, the proposed method is applied to assess the reliability of a provincial power grid in southwest China. The results indicate that the reliability indexes in different time intervals have major difference with annual average index, and it proves the necessity of temporal and spatial environments dependent reliability assessment. |
| Key words: power grid reliability temporal and spatial environments meteorological disaster multiple time scale |
