Electric Power ›› 2022, Vol. 55 ›› Issue (10): 201-208.DOI: 10.11930/j.issn.1004-9649.202103092

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An Optimization Method for Demand Response Information Transmission Based on Improved THP Coding

MA Lvbin1, HAO Yihao2, XUE Li3, LI Bin2, QI Bing2, CHEN Songsong4   

  1. 1. Zhejiang Huayun Information Technology Co., Ltd., Hangzhou 310012, China;
    2. School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China;
    3. Beijing SG-EPRI UHV Transmission Technology Co., Ltd., Beijing 102200, China;
    4. Beijing Key Laboratory of Demand Side Multi-energy Carriers Optimization and Interaction Technique (China Electric Power Research Institute), Beijing 100192, China
  • Received:2021-03-15 Revised:2022-06-30 Online:2022-10-28 Published:2022-10-20
  • Supported by:
    This work was supported by National Key Research & Development Program of China (No.2016YFB0901100) and Science & Technology Project of State Grid Zhejiang Electric Power Co., Ltd. (Research and Demonstration Application of Key Technologies for Large-Scale Adjustable Load Resource Assessment, Planning and Operation and Optimal Adjustment, No.2021ZK52).

Abstract: Under normalized implementation of large-scale demand response in the future, wireless access is one of the important and convenient access methods for massive terminals at the end of the power grid. In order to improve the transmission performance of the DR communication system, the channel state information is used at the DR sending end to preprocess the dataflow to improve the channel gain. Considering the channel noise and the interference between dataflows, it is proposed to apply the improved THP algorithm in DR transmission. The simulation results show that the proposed method has good BER performance under different service load conditions, especially when the channel conditions are good, and the algorithm does not involve too much computational overhead.

Key words: demand response, information coding, information interaction, channel optimization, error vector