| 基于Cornish-Fisher级数和半不变量法的含光伏配电系统风险评估 |
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| 引用本文： | 陈朝宽,张靖,何宇,方裕,曾希皙,梁龙基.基于Cornish-Fisher级数和半不变量法的含光伏配电系统风险评估[J].电力自动化设备,2021,41(2):91-96. |
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| 作者姓名： | 陈朝宽 张靖 何宇 方裕 曾希皙 梁龙基 |
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| 作者单位： | 贵州大学 电气工程学院,贵州 贵阳 550025;贵州大学 电气工程学院,贵州 贵阳 550025;贵州大学 电气工程学院,贵州 贵阳 550025;贵州大学 电气工程学院,贵州 贵阳 550025;贵州大学 电气工程学院,贵州 贵阳 550025;贵州大学 电气工程学院,贵州 贵阳 550025 |
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| 基金项目： | 国家自然科学基金资助项目(51867005)；贵州省科技计划项目([2018]5781) |
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| 摘 要： | 为准确高效地对含光伏配电系统进行风险评估,提出基于Cornish-Fisher级数的半不变量法求解含光伏配电系统的随机潮流,建立系统级的电压越限风险指标和潮流越限风险指标,分析含光伏配电系统的薄弱点,并准确揭示其风险,半不变量法保证了随机潮流计算的高效性,Cornish-Fisher级数展开提高了非正态分布下曲线拟合的...
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| 关 键 词： | 分布式光伏 半不变量法 Cornish-Fisher级数 随机潮流 风险评估 |
Risk assessment of distribution system with photovoltaic based on Cornish-Fisher series and cumulant method |
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| CHEN Chaokuan,ZHANG Jing,HE Yu,FANG Yu,ZENG Xixi,LIANG Longji.Risk assessment of distribution system with photovoltaic based on Cornish-Fisher series and cumulant method[J].Electric Power Automation Equipment,2021,41(2):91-96. |
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| Authors: | CHEN Chaokuan ZHANG Jing HE Yu FANG Yu ZENG Xixi LIANG Longji |
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| Affiliation: | School of Electrical Engineering, Guizhou University, Guiyang 550025, China |
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| Abstract: | In order to carry out risk assessment of distribution system with photovoltaic accurately and effectively, a cumulant method based on Cornish-Fisher series is proposed to solve the stochastic power flow of distribution system with photovoltaic. The risk indicator of voltage exceeding limit and power flow exceeding limit at system level are established, and the weak points of distribution system with photovoltaic are analyzed to reveal its risk accurately. The cumulant method ensures the high efficiency of stochastic power flow calculation, and the Cornish-Fisher series expansion improves the accuracy of curve fitting under non-normal distribution. The effectiveness and accuracy of the proposed algorithm for risk assessment of distribution system with photovoltaic are verified by MATLAB case simulation. |
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| Keywords: | distributed photovoltaic cumulant method Cornish-Fisher series stochastic power flow risk assessment |
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