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作 者:黄嘉楠 占娜 王溪 魏波 刘宇 Huang Jianan;zhana Wangxi;Wei Bo;Liu Yu(State Grid Wuhan Power Supply Company 430077,Hubei Province;Hubei Huazhong Electric Power Technology Development Co.,Ltd.Wuhan 430077)
机构地区:[1]国网武汉供电公司,湖北武汉430077 [2]湖北华中电力科技开发有限责任公司,湖北武汉430077
出 处:《现代科学仪器》2022年第5期177-181,共5页Modern Scientific Instruments
摘 要:设计一种基于机器学习的连续潮流法革新算法,对含分布式电源的配电网供电能力稳定性进行评价,并能够有效的测试评价算法效能。将电网中的三相电压、三相电流数据输入到模糊神经网络中,用于数据同构化模糊处理,发现革新算法较传统连续潮流法精确度更高。通过革新算法对复杂电网条件下的供电能力稳定性进行评价,得出电网电源运行稳定性参数。发现该评价的电源稳定性判断能力远超过传统的连续潮流法。An innovative algorithm of continuous power flow method is designed based on machine learning,to evaluate the stability of power supply capacity of distribution network with distributed generation,and to effectively test and evaluate the efficiency of the algorithm.The three-phase voltage and three-phase current data in the power grid are input into the fuzzy neural network for data isomorphic fuzzy processing.It is found that the innovative algorithm has higher accuracy than the traditional continuous power flow method.The stability of power supply capacity under complex power grid conditions is evaluated by the innovative algorithm,and the stability parameters of power supply operation are obtained.It is found that the power supply stability judgment ability of this evaluation is far better than that of the traditional continuous power flow method.
关 键 词:连续潮流法(CPF) 分布式电源 供电能力 配电网 评价预警
分 类 号:TM930[电气工程—电力电子与电力传动]
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