| 引用本文: | 王秀丽,张择策,侯雨伸.基于拟蒙特卡罗模拟法的主动配电网随机潮流计算[J].电力自动化设备,2017,37(3): |
| WANG Xiuli,ZHANG Zece,HOU Yushen.Stochastic load flow calculation based on quasi-Monte Carlo method for active distribution network[J].Electric Power Automation Equipment,2017,37(3): |
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| 摘要: |
| 主动配电网内分布式电源出力波动性大、负荷可调，传统的确定性模型已不再能准确地对其进行风险评估。建立主动配电网中不确定性因素的模型，采用拟蒙特卡罗(QMC)模拟法抽取Sobol确定性低偏差点列，以随机潮流计算为工具，对主动配电网的节点电压越限情况进行模拟。算例表明，相同抽样次数下拟蒙特卡罗法的计算结果比蒙特卡罗法更接近真解。 |
| 关键词: 随机潮流 主动配电网 拟蒙特卡罗 低偏差点列 |
| DOI：10.16081/j.issn.1006-6047.2017.03.002 |
| 分类号: |
| 基金项目:国家自然科学基金资助项目(51277140) |
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| Stochastic load flow calculation based on quasi-Monte Carlo method for active distribution network |
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WANG Xiuli, ZHANG Zece, HOU Yushen
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School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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| Abstract: |
| Because of the large output fluctuation of distributed generators and the adjustable loads in the active distribution network, the traditional deterministic model can be no longer used to accurately assess its risk. Models are built for the uncertain factors of active distribution network, QMC(Quasi-Monte Carlo) simulation method is adopted to select the Sobol deterministic low-discrepancy sequence, and probabilistic load flow calculation is carried out to simulate the nodal overvoltage of active distribution network. Case study shows that, with same sampling times, the calculative result by the proposed method is closer to the true solution than that by Monte Carlo method. |
| Key words: stochastic load flow active distribution network quasi-Monte Carlo low-discrepancy sequence |
