Integrated Intelligent Energy ›› 2024, Vol. 46 ›› Issue (10): 18-25.doi: 10.3969/j.issn.2097-0706.2024.10.003

• New Energy System Optimization • Previous Articles     Next Articles

Load frequency control of renewable energy power systems considering demand response of air conditioning clusters based on fractional-order integral sliding mode

JIANG Jian1(), XU Fengliang1, LI Xiaoming1, SUN Jianchao1, JIANG Huahua1, ZHANG Jiaxin2, MA Siyuan2, YANG Zishuai2,*()   

  1. 1. Xinyang Power Supply Company of State Grid Henan Electric Power Company,Xinyang 464000,China
    2. College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China
  • Received:2024-04-22 Revised:2024-09-06 Accepted:2024-10-25 Published:2024-10-25
  • Contact: YANG Zishuai E-mail:332617175@qq.com;18582407350@163.com
  • Supported by:
    Science and Technology Project of State Grid Henan Electric Power Company(B7177023K095)

Abstract:

With the extensive integration of renewable energy sources and the continuous increase in load demand, the pressure on the safe operation of power systems significantly intensifies, making frequency control in renewable energy power systems a prominent research area. This study addressed the issue of substantial frequency deviation caused by random disturbances in source-load interactions within renewable energy power systems by proposing a fractional-order integral sliding mode load frequency control strategy that incorporated air conditioning cluster demand response (DR). First, an interconnected power system model was established, including wind turbines and air conditioning cluster DR. Second, a fractional-order integral sliding mode algorithm was used to control the generator's speed regulator, aiming to minimize frequency deviation, suppress oscillatory behavior, and enhance the robustness of the power system. Furthermore, DR and wind turbines were engaged as auxiliary devices to further mitigate frequency deviations. Finally, three different operational scenarios were designed, and simulations were conducted using Matlab/Simulink. The simulation results showed that the proposed control strategy effectively reduced frequency deviations in the renewable energy power systems, ensuring stable system operation.

Key words: renewable power system, demand response, fractional-order integral algorithm, sliding mode controller, load frequency control

CLC Number: