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。
Networked communication is an important component of smart grids.However,the communication delay caused by networked communication further increases the difficulty of maintaining the frequency stability of multi-microgrid systems.Therefore,it is necessary to study the load-frequency control of multi-microgrid interconnected systems with networked delays.To address this problem,a parameter optimization method for a fractional-order proportional-integral-derivative controller based on an improved cooperative quantum-behaved particle swarm optimization algorithm was proposed to improve the performance of controllers under networked communication delays.First,a multi-microgrid interconnected system model with wind and storage characteristics was established.Second,the idea of coordination and chaos was used to improve the quantum-behaved particle swarm optimization to make it suitable for high-dimensional space optimization and optimize the performance of the algorithm in terms of particle swarm diversity and high-dimensional adaptability.Finally,the feasibility and effectiveness of the optimization method were verified from three aspects:the stability limit under different time delays,the dynamic performance under step disturbances,and the CPS index under random disturbances.
作者
方仍存
桑子夏
刘知行
樊华
王丹
毛承雄
FANG Rengcun;SANG Zixia;LIU Zhixing;FAN Hua;WANG Dan;MAO Chengxiong(State Grid Hubei Economic Research Institute,Wuhan 430077,China;State Key Laboratory of Advance Electromagnetic Engineering and Technology(Huazhong University of Science and Technology),Wuhan 430074,China)
出处
《电力建设》
CSCD
北大核心
2023年第7期87-97,共11页
Electric Power Construction
基金
国网湖北省电力有限公司科技项目(52153820000H)。
关键词
负荷频率控制
分数阶PID控制器
量子粒子群算法
联络线功率控制
时滞鲁棒性
load-frequency control
fractional-order PID controller
quantum-behaved particle swarm optimization
tie-line power control
time-delay robustness
