| 引用本文: | 刘瑶,彭书涛,张志华,等.基于抽样盲数的线路N-1静态安全评估[J].电力系统保护与控制,2019,47(7):106-112. |
| LIU Yao,PENG Shutao,ZHANG Zhihua,et al.Static security assessment according to N-1 criterion for transmission lines based on sampled-blind-number[J].Power System Protection and Control,2019,47(7):106-112 |
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| 摘要: |
| 为了研究负荷和新能源出力不确定性对线路静态安全分析结果的影响，提出了一种基于抽样盲数的线路静态安全评估方法。首先介绍了将持续负荷曲线和新能源持续出力曲线抽象成为抽样盲数的抽样方法，并将负荷抽样盲数和新能源出力抽样盲数的样本进行相互组合得到多个待分析场景。在此基础上，分析每个场景下发生线路N-1时是否有其余线路或元件过载，计算发生过载情况的场景概率之和便可得到所研究网络不满足N-1准则的概率。最后，对这些存在不满足N-1准则风险的线路依据风险概率进行排序得到所研究电网薄弱环节。结合7节点交直流电网算例对所提出的方法进行了详细说明，计算结果表明抽样盲数方法可用于线路N-1静态安全评估，从而实现对电网的多维度评价。 |
| 关键词: 静态安全评估 抽样盲数 不确定性 N-1安全准则 |
| DOI：10.7667/PSPC180775 |
| 分类号: |
| 基金项目:陕西省重点研发计划项目资助(2017ZDCXL-GY- 02-03) |
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| Static security assessment according to N-1 criterion for transmission lines based on sampled-blind-number |
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LIU Yao1,2,PENG Shutao2,ZHANG Zhihua2,XIA Nan2
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(1. School of Electrical Engineering, Southeast University, Nanjing 210096, China;2. Shaanxi Electric Power Research Institute, Xi’an 710100, China)
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| Abstract: |
| In order to research the static security assessment result for transmission lines considering the uncertainty of loads and Distributed Generations (DGs) output power, a Sampled-Blind-Number (SBN) based static security assessment for transmission lines is put forward. Firstly, the sampling method for the static security assessment is described, in which the SBNs of a load and the output power of a DG are calculated from the annual load duration curve and the annual output power duration curve, respectively. The scenarios for analysis are furnished from combining the corresponding SBNs of the loads and DGs output power. On this basis, whether the loading of the other transmission line or grid equipment under the N-1 assessment is over its rated value is analyzed. The probability of being against the N-1 criterion for grid is obtained as the summation of the probabilities of the scenarios which are with overloaded situations. Finally, the transmission lines with risk of being against N-1 criterion are ranked by the probability of risk to find the vulnerable spots of grid. An example is given to explain the proposed approach and the simulation result shows SBN method is feasible for N-1 static assessment and suitable for the multi-dimension evaluation for grid. This work is supported by Key Research and Development Program of Shaanxi Province (No. 2017ZDCXL-GY-02-03). |
| Key words: static security assessment sampled-blind-number (SBN) uncertainty N-1 criterion |
