| 基于大数据的配电网谐波经济损失评估方法研究 |
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| 引用本文： | 戴超凡,邓孝祥,蒋煜,丁晓群,邓吉祥. 基于大数据的配电网谐波经济损失评估方法研究[J]. 上海电力学院学报, 2017, 33(2): 145-151 |
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| 作者姓名： | 戴超凡 邓孝祥 蒋煜 丁晓群 邓吉祥 |
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| 作者单位： | 黑龙江科技大学 电气与控制工程学院,黑龙江科技大学 电气与控制工程学院,河海大学 能源与电气学院,河海大学 能源与电气学院,江苏省电力公司 泰州供电公司 |
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| 摘 要： | 为了解决目前配电网谐波经济损失评估缺乏统一、科学的评估体系的问题,以电力大数据平台为基础支撑,建立了包含数据层、指标层和应用层的配电网谐波经济损失评估体系总体架构,构建了谐波经济损失评估指标体系.对常规粒子群算法进行改进,并和径向基(RBF)神经网络结合,利用混沌自适应粒子群优化的RBF(CAPSO-RBF)神经网络进行谐波网损评估.将Simoni模型与交联聚乙烯(XLPE)电缆谐波线芯温升模型结合,得到了谐波影响下的XLPE电缆绝缘老化寿命评估模型.案例分析证明了方法的可行性,验证了评估体系的合理性和电力大数据的优势.
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| 关 键 词： | 大数据 配电网 谐波经济损失 |
| 收稿时间： | 2017-01-09 |
Study on Economic Loss Evaluation Method of Harmonic Wave in Distribution Network Based on Large Data |
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| DAI Chaofan,DENG Xiaoxiang,JIANG Yu,DING Xiaoqun and DENG Jixiang. Study on Economic Loss Evaluation Method of Harmonic Wave in Distribution Network Based on Large Data[J]. Journal of Shanghai University of Electric Power, 2017, 33(2): 145-151 |
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| Authors: | DAI Chaofan DENG Xiaoxiang JIANG Yu DING Xiaoqun DENG Jixiang |
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| Affiliation: | Heilongjiang Institute of Science and Technology, Harbin 150022, China,Heilongjiang Institute of Science and Technology, Harbin 150022, China,College of Energy and Electrical Engineering, Hehai University, Nanjing 211100, China,College of Energy and Electrical Engineering, Hehai University, Nanjing 211100, China and Taizhou Power Supply Company, Taizhou 225300, China |
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| Abstract: | At present, a unified scientific evaluation system is absent.In view of this problem, based on the power large data technology, the overall framework of harmonic economy loss evaluation system of distribution network which contaions data layer, index layer and application layer is constructed and the harmonic economy loss evaluation index system is established.The conventional particle swarm optimization algorithm is improved, in combination with the RBF neural network, using the CAPSO-RBF neural network to assess the harmonic loss.The Simoni model and the XLPE cable harmonic line core temperature rise model are combined, obtaining the evaluation model of insulation aging life of XLPE cable.Finally, the feasibility of this method is proved by the case analysis, and the rationality of the evaluation system and the advantages of large power data is also verified. |
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| Keywords: | large data distribution network harmonic economy loss |
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