基于大数据的非侵入式负荷分解技术研究

Research on Non-Intrusive Load Decomposition Technology Based on Big Data

随着智能电网的不断发展,提高用户的用电体验和电力营销的精细化管理变得越来越重要。作为居民用户用电行为模式识别的关键技术,非侵入式分解技术成为近年来研究的热点。文章在综述国内外非侵入式负荷分解关键技术的基础上,分析了面向用户的非侵入式负荷分解技术的研究内容,进而对涉及的研究方法进行了系统性的阐述,指出了研究的技术难点,并对未来技术的研究方向进行了展望。最后,对全文进行了总结,指出非侵入式负荷分解技术将会提高电能利用效率,促进电力资源的优化配置。

With the rapid development of smart grid, improving users＇ experience on using electricity and subtle management on electricity marketing has become more and more important. As the key technology of users＇ behavior, non-intrusive load decomposition technology has been a hot spot now. On the basis of an overview of related non-intrusive load decomposition technology, main aspects of its research are stated. Furthermore, systematic methods are proposed, relevant difficulty presented and future trend of research discussed meanwhile. The article is summarized ultimately and non-intrusive load decomposition technology will play an important role on improving electricity utilization efficiency and optimizing the allocation of resources of electricity.