居民用电负荷非侵入式监测分解系统研究
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摘要
随着智能电网的发展和节能意识的提高,居民家庭的总耗电量已经细化到每个电器上。电力可视化服务对居民的负荷使用安排和电网需求响应计划实施具有重要意义。文章在非侵入式负荷监测方法研究的基础上,根据电流叠加特性,建立估计方程组和约束条件对电力入口处总电流进行分解,然后利用最小二乘法优化求解上述方程组,引导用户合理用电,优化能源结构。
With the development of smart grid and the improvement of energy saving awareness, the total power consumption of households has been refined to each electrical appliance. Power visualization service is of great significance to the load use arrangement of residents and the implementation of power grid demand response plan. In this paper, based on the research of non-intrusive load monitoring method, according to the superposition characteristics of current, the estimation equations and constraint conditions are established to decompose the total current at the power entrance, and then the least square method is used to optimize the solution of the above equations, so as to guide users to use electricity reasonably and optimize the energy structure.
With the development of smart grid and the improvement of energy saving awareness, the total power consumption of households has been refined to each electrical appliance. Power visualization service is of great significance to the load use arrangement of residents and the implementation of power grid demand response plan. In this paper, based on the research of non-intrusive load monitoring method, according to the superposition characteristics of current, the estimation equations and constraint conditions are established to decompose the total current at the power entrance, and then the least square method is used to optimize the solution of the above equations, so as to guide users to use electricity reasonably and optimize the energy structure.
引文
[1]汪四仙,毕忠勤.非侵入式电力负荷监测技术研究[J].上海电力学院学报,2017,33(04):357-361.
[2]牛卢璐,贾宏杰.一种适用于非侵入式负荷监测的暂态事件检测算法[J].电力系统自动化,2011,35(9):30-35.
[3]Norford L K, Leeb S B, Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algorithms[J]. Energy&Buildings,1995,24(1):51-64.
[4]谢家宝.基于非侵入式负载监测的微电网电能管理研究[D].秦皇岛:燕山大学,2012.
[5]刘然.结合改进最近邻法与支持向量机的住宅用电负荷识别研究[D].重庆:重庆大学,2014.
[2]牛卢璐,贾宏杰.一种适用于非侵入式负荷监测的暂态事件检测算法[J].电力系统自动化,2011,35(9):30-35.
[3]Norford L K, Leeb S B, Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algorithms[J]. Energy&Buildings,1995,24(1):51-64.
[4]谢家宝.基于非侵入式负载监测的微电网电能管理研究[D].秦皇岛:燕山大学,2012.
[5]刘然.结合改进最近邻法与支持向量机的住宅用电负荷识别研究[D].重庆:重庆大学,2014.