月刊
ISSN 1000-7229
CN 11-2583/TM
电力建设 ›› 2023, Vol. 44 ›› Issue (7): 87-97.doi: 10.12204/j.issn.1000-7229.2023.07.010
方仍存1(), 桑子夏1(), 刘知行2(), 樊华2(), 王丹2(), 毛承雄2()
收稿日期:
2022-08-08
出版日期:
2023-07-01
发布日期:
2023-06-25
通讯作者:
刘知行(1997),男,硕士研究生,主要研究方向为负荷频率控制、微电网能量管理,E-mail:作者简介:
方仍存(1980),男,博士,高级工程师,主要研究方向为配电网规划、能源经济,E-mail:57863010@qq.com;基金资助:
FANG Rengcun1(), SANG Zixia1(), LIU Zhixing2(), FAN Hua2(), WANG Dan2(), MAO Chengxiong2()
Received:
2022-08-08
Online:
2023-07-01
Published:
2023-06-25
摘要:
网络化通信是智能电网的重要组成部分,但其带来的通信时滞导致维持多微网系统频率稳定更加困难,因此有必要研究网络化时滞下多微网互联系统的负荷频率控制问题。针对该问题,文章提出基于改进协同量子粒子群算法的分数阶PID控制器参数优化方法,以提升网络化通信时滞下多微网互联系统控制器的控制性能。首先,建立了具备风储特性的多微网互联系统仿真模型,并在模型中考虑了网络化通信时滞。其次,借鉴协同与混沌的思想对量子粒子群算法进行改进,优化了算法在粒子群多样性及高维度适应性等方面的性能,使之适用于高维度空间寻优问题。最后,借助MATLAB仿真实验分别从不同时滞下的稳定极限、阶跃扰动下的动态性能、长时间随机扰动下的CPS指标三个方面验证了所提优化方法的可行性与有效性。
中图分类号:
方仍存, 桑子夏, 刘知行, 樊华, 王丹, 毛承雄. 基于改进协同量子粒子群算法的多微网负荷频率控制[J]. 电力建设, 2023, 44(7): 87-97.
FANG Rengcun, SANG Zixia, LIU Zhixing, FAN Hua, WANG Dan, MAO Chengxiong. Load-Frequency Control of Multi-Microgrid Systems Based on Improved Cooperative Quantum-Behaved Particle Swarm Optimization[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(7): 87-97.
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