Electric Power ›› 2021, Vol. 54 ›› Issue (10): 97-103.DOI: 10.11930/j.issn.1004-9649.202011055

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Adaptive Timescale Energy Optimal Predictive Control in DC Power Consumption Zone

YI Wenfei1, SI Xinyao1, CHEN Qing2, LIU Haitao3, JI Yu3, XIONG Xiong3, PAN Di4, JIN Guobin4   

  1. 1. Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211103, China;
    2. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211000, China;
    3. China Electric Power Research Institute, Beijing 100192, China;
    4. Key Laboratory of Modern Power System Simulation and Control& Renewable Energy Technology Ministry of Education (Northeast Electric Power University), Jilin 132012, China
  • Received:2020-11-10 Revised:2021-03-01 Online:2021-10-05 Published:2021-10-16
  • Supported by:
    This work is supported by National Key Research and Development Program of China (No.2018YFB0904700)

Abstract: The integration of new energy generation, energy storage and flexible load parallel operation of the power terminal is an important part of DC distribution network optimal operation. In view of the limitations of the fixed energy optimization execution timescale, an adaptive timescale energy optimal predictive control in the DC power consumption zone with flexible dispatching units is proposed. The method is based on the adaptive adjustment of the energy output time scale of the power output ratio of the intermittent power supply in the DC power partition. At the same time, the lower-level comprehensive upper-level DC distribution network optimization instructions which are based on model free adaptive predictive control to achieve adaptive timescale energy optimal predictive control in the DC power consumption zone. The simulation results show that the proposed energy optimal predictive control method can realize the adaptive adjustment of the execution timescale, and under the condition that the flexible dispatching units are abundant, else and it can realize the fast and accurate tracking and execution of the energy optimal dispatching instruction of the superior DC distribution network.

Key words: DC power consumption, energy optimization, adaptive, timescale, predictive control