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| Reliability evaluation of distribution power distribution network based on FLN network |
| Zhong Jianwei1, Wang Chen1, Qin Mingliang2, Liu Wenshu3, Zheng Wenli3 |
1. Hubei University for Nationalities, Enshi, Hubei 445000;
2. Hubei Provincial Electric Power Company, Wuhan 430077;
3. State Network Enshi Power Supply Company, Enshi, Hubei 445000 |
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Abstract It is important to predict the reliability of distributed distribution network with power distribution system. In this paper, the reliability of the distribution network with distributed power is predicted by using the improved method FLN network of artificial neural network (ANN) and the comprehensive load model, power generation model and time load curve. The simulation results show that the algorithm is correct and the FLN network has the characteristics of fast convergence and easy to fall into the local minimum under the condition of normal distribution of load and capacity.
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Received: 30 September 2017
Published: 18 April 2018
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| Cite this article: |
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Zhong Jianwei,Wang Chen,Qin Mingliang等. Reliability evaluation of distribution power distribution network based on FLN network[J]. Electrical Engineering, 2018, 19(4): 10-14.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2018/V19/I4/10
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[1] 葛少云, 季时宇, 刘洪, 等. 基于多层次协同分析的高中压配电网可靠性评估[J]. 电工技术学报, 2016, 31(19): 172-181.
[2] 陈宁, 韩蓬, 王传勇, 等. 基于可靠性的10kV城市配电网网架结构优化方案[J]. 电气技术, 2016, 17(6): 101-104.
[3] 陈文高. 配电系统可靠性实用基础[M]. 北京: 中国电力出版社, 1998.
[4] 陈亚, 李萍. 基于神经网络的短期电力负荷预测仿真研究[J]. 电气技术, 2017, 18(1): 26-29.
[5] 同济大学s应用数学系. 概率统计简明教程[M]. 北京:高等教育出版社, 2008.
[6] Arya L D, Choube S C, Kothari D P.Economic dispatch accounting line flow constraints using functional link network[J]. Electric Machines and Power System, 2000(28): 56-68.
[7] Fu Lm.Neural network in computer intelligence[Z]. 1994.
[8] 张海涛, 陈宗海, 朱六璋. 基于改进FLN的短期电力负荷预测算法[J]. 电工技术学报, 2004, 19(5): 92-96.
[9] 李龙, 魏靖, 黎灿兵, 等. 基于人工神经网络的负荷模型预测[J]. 电工技术学报, 2015, 30(8): 225-230. |
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2018, Vol. 19 
