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投稿时间：2017-01-09
投稿时间：2017-01-09
中文摘要: 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.
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.
文章编号：20172008 中图分类号： 文献标志码：
基金项目:
| 作者 | 单位 | |
| 戴超凡 | 黑龙江科技大学 电气与控制工程学院 | 200878904@qq.com |
| 邓孝祥 | 黑龙江科技大学 电气与控制工程学院 | |
| 蒋煜 | 河海大学 能源与电气学院 | |
| 丁晓群 | 河海大学 能源与电气学院 | |
| 邓吉祥 | 江苏省电力公司 泰州供电公司 |
引用文本：
戴超凡,邓孝祥,蒋煜,等.基于大数据的配电网谐波经济损失评估方法研究[J].上海电力大学学报,2017,33(2):145-151.
DAI Chaofan,DENG Xiaoxiang,JIANG Yu,et al.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.
戴超凡,邓孝祥,蒋煜,等.基于大数据的配电网谐波经济损失评估方法研究[J].上海电力大学学报,2017,33(2):145-151.
DAI Chaofan,DENG Xiaoxiang,JIANG Yu,et al.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.