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作 者:李腾[1] 葛少云[1] 梁文举 周鑫 孙洪波 周平 LI Teng;GE Shaoyun;LIANG Wenju;ZHOU Xin;Sun Hongbo;ZHOU Ping(Key Laboratory of Smart Grid(Tianjin University)of Ministry of Education,Tianjin 300072,China;State Grid Chongqing Electric Power Company,Chongqing 400015,China;Chongqing Transmission & Transformation Engineering Company,Chongqing 400000,China;School of Electrical Engineering,Northeast Electric Power University,Jilin 132012,China)
机构地区:[1]智能电网教育部重点实验室(天津大学),天津300072 [2]国网重庆市电力公司,重庆400015 [3]重庆市送变电工程有限公司,重庆400000 [4]东北电力大学电气工程学院,吉林132012
出 处:《电力系统及其自动化学报》2019年第1期117-123,131,共8页Proceedings of the CSU-EPSA
摘 要:分布式电源接入传统配电网提高了配电网运行的环境效益,但现有可靠性评估方法不能全面准确地展现分布式电源和负荷的随机波动特性。为此提出了一种配电网概率可靠性评估方法,以蒙特卡罗模拟法为评估框架,利用非参数核密度估计方法实现可靠性指标的概率密度估计,同时构建以最小化电压波动为目标的负荷削减策略。然后基于概率可靠性评估结果,从降低碳排放量的角度,全面准确地分析了分布式电源接入为配电网带来的环境效益,结合实际区域的馈线模型进行仿真计算,验证了该评估方法的有效性和准确性。The access of distributed generations ( DGs ) to the traditional distribution network has improved the environ-mental benefit from the operation of distribution network , but the existing reliability evaluation methods cannot show the random fluctuations of DGs or load. In this paper , a probabilistic reliability evaluation method for distribution network is proposed , in which the Monte Carlo simulation method is adopted as the evaluation frame and the probabilistic density estimation of reliability indexes is realized using nonparametric kernel density estimation method;meanwhile , a load shedding strategy is constructed to minimize the voltage fluctuations. Moreover , based on the evaluation results , the envi-ronmental benefit brought by the access of DGs to the distribution network is comprehensively and accurately analyzed from the view point of carbon emission reduction. Finally , simulations are conducted with the combination of a feeder model of an actual region , which verifies the validity and accuracy of the proposed evaluation method.
关 键 词:分布式电源 概率可靠性 非参数核密度估计 低碳电网
分 类 号:TM72[电气工程—电力系统及自动化]
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