Journal of Electrical Engineering ›› 2023, Vol. 18 ›› Issue (2): 157-163.doi: 10.11985/2023.02.015

Previous Articles     Next Articles

扫码分享

Non-intrusive Load Monitoring Based on Improved Hidden Markov Model

GUO Jia1,2(), XIE Jinghai1,2, YUAN Jingzhong1,2, JIANG Yu1,2, SUN Mi1,2, BI Zhongqin3()   

  1. 1. State Grid Jibei Economic Research Institute, Beijing 100038
    2. Beijing Jingyan Electric Power Engineering Design Co., Ltd., Beijing 100038
    3. College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai 200090
  • Received:2021-11-10 Revised:2022-01-06 Online:2023-06-25 Published:2023-07-12

Abstract:

The fine-grained energy consumption monitoring is one of the important links of smart grid construction. As an energy consumption monitoring method, non-intrusive load monitoring can deeply analyze the fine-grained load components of users, which is of great significance to the power optimization of users, and also has the characteristics of fast implementation and low cost. Firstly, the hidden Markov model is improved by relaxing the assumptions of the model, and then the household power load is modeled based on the improved hidden Markov model. Finally, the improved Viterbi algorithm is used to solve the optimal state transition sequence of the load equipment, and then the power consumed by each equipment is calculated. The experimental results show that the proposed improved algorithm not only has high accuracy, but also has good stability. At the same time, the decomposed power curve is more consistent with the actual power curve, and has good effect.

Key words: Non-intrusive load monitoring, hidden Markov model, energy consumption monitoring, smart grid

CLC Number: