A method for identifying power load status in a home office environment
A technology for electric load and state recognition, applied in character and pattern recognition, data processing applications, instruments, etc., can solve problems such as low load recognition, low recognition accuracy of low-power loads, and complex steady-state feature modeling. Achieve the best comprehensive performance, the best overall performance, and high precision
Active Publication Date: 2022-04-26
杭州国彪超声设备有限公司 +1
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[0006] The present invention aims at the problems of complex modeling of steady-state characteristics and low load recognition degree in the current method; low recognition accuracy of transient characteristics for similar equipment and low-power loads, etc., and proposes a method based on PSOSC-MDTW (Particle swarmoptimization-System Clustering-Multidimensional DTW) The load state identification algorithm is used to identify the state of the power load in the home office environment
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[0047] The present invention will be further described below in conjunction with accompanying drawing.
[0048] In order to identify the working state of the electric load more accurately and quickly, the present invention first needs to obtain the transient power waveform TPW (Transientpower waveform) when the electric load (such as refrigerator, air conditioner, water dispenser, etc.) is switched on and off in the home and office environment , and accurate labels for load switching, so as to be used for load identification and algorithm performance evaluation. Then, aiming at the difficulty in identifying low-power and similar loads, the present invention proposes to systematically cluster TPWs of similar loads, select typical TPW templates, and improve the identification rate of loads. Finally, in order to solve the difficulty of increasing load types, the present invention proposes to use the PSO algorithm for parameter optimization to determine the optimal combination of ...
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The invention discloses a method for identifying the state of electricity load in a home office environment. In order to identify the working state of the electric load more accurately and quickly, the present invention first needs to obtain the transient power waveform TPW when the electric load (such as refrigerator, air conditioner, water dispenser, etc.) Time-sensitive and accurate labels for load identification and algorithm performance evaluation. Then, aiming at the difficulty in identifying low-power and similar loads, the present invention proposes to systematically cluster TPWs of similar loads, select typical TPW templates, and improve the identification rate of loads. Finally, in order to solve the difficulty of increasing load types, the present invention proposes to use the PSO algorithm for parameter optimization to determine the optimal combination of load typical TPW cluster numbers, so that the comprehensive performance of the load state identification algorithm is the best. The method proposed by the invention has made important contributions to the load state identification and intelligent power consumption in the home office environment.
Description
technical field [0001] The invention belongs to the technical field of non-intrusive load identification, and in particular relates to a method for identifying the state of electric load in a home office environment. Background technique [0002] With the development of social economy, electricity has become one of the most widely used energy sources in today's society. In order to provide users with more reliable and green power and mitigate the impact of global warming and climate change, smart power consumption is becoming more and more important. In order to make better use of electric energy, it is first necessary to conduct load monitoring on electric loads. Load monitoring is to obtain user electricity consumption data and master detailed user load operating status and frequency of use. The key link of intelligent electricity consumption. [0003] Power load monitoring methods can be roughly divided into two types: intrusive and non-invasive. Intrusive load monitori...
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IPC IPC(8): G06K9/62G06N3/00G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06G06N3/006G06F18/23G06F18/214
Inventor 郑松孔亚广陈张平徐平张帆赵晓东
Owner 杭州国彪超声设备有限公司