综合智慧能源 ›› 2024, Vol. 46 ›› Issue (10): 18-25.doi: 10.3969/j.issn.2097-0706.2024.10.003

• 新能源电力系统优化 • 上一篇    下一篇

考虑空调集群需求响应的新能源电力系统分数阶滑模负荷频率控制

江建1(), 徐峰亮1, 李小明1, 孙建超1, 江华华1, 张佳昕2, 马思源2, 杨梓帅2,*()   

  1. 1.国网河南省电力公司信阳供电公司,河南 信阳 464000
    2.上海电力大学 电气工程学院,上海 200090
  • 收稿日期:2024-04-22 修回日期:2024-09-06 接受日期:2024-10-25 出版日期:2024-10-25
  • 通讯作者: *杨梓帅(1999),男,硕士生,从事微电网频率控制方面的研究,18582407350@163.com
  • 作者简介:江建(1973),男,高级工程师,硕士,从事电力系统频率控制方面的研究,332617175@qq.com
  • 基金资助:
    国网河南省电力公司科技项目(B7177023K095)

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
  • Supported by:
    Science and Technology Project of State Grid Henan Electric Power Company(B7177023K095)

摘要:

随着可再生能源的大量接入和负荷需求的不断增长,电力系统安全运行的压力日益增大,新能源电力系统的频率控制问题成为研究热点。针对新能源电力系统中源荷随机扰动造成频率偏差较大的问题,提出考虑空调集群需求响应(DR)的分数阶滑模负荷频率控制策略。首先,建立含风机和空调集群DR的互联电力系统模型;其次,采用分数阶滑模算法控制发电机组的调速器来最小化频率偏差,可以抑制抖振现象并提高电力系统的鲁棒性;此外,利用DR和风机作为辅助设备共同参与频率调节,进一步减小频率偏差;最后,设计3种不同工况,在Matlab/Simulink中进行仿真验证,结果表明所提出的控制策略可以有效降低新能源电力系统的频率偏差,保证电力系统稳定运行。

关键词: 新能源电力系统, 需求响应, 分数阶算法, 滑模控制器, 负荷频率控制

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

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