{"title":"Cloud model-based intelligent controller for load frequency control of power grid with large-scale wind power integration","authors":"Dexin Li, Xiangyu Lv, Haifeng Zhang, Xiangdong Meng, Zhenjun Xu, Chao Chen, Taiming Liu","doi":"10.3389/fenrg.2024.1477645","DOIUrl":null,"url":null,"abstract":"The intermittent and fluctuating nature of active power output from wind power significantly affects the Load Frequency Control (LFC) in a power grid based on active power balance. To address this issue, this paper proposes a cloud-based intelligent PI controller designed to enhance the performance of LFC in smart grids with large-scale wind power integration. By using the error and the rate of change of error as the antecedent inputs of the cloud model-based controller and the tuning values of P and I as the consequent outputs of the cloud model, adaptive online tuning of the PI parameters is achieved. Based on the control rules of LFC in interconnected power grids and considering the uncertainty of wind power’s active power output, the membership cloud parameters are designed, which effectively solves the problems of poor parameter robustness in traditional PI control and significant human influence on membership degrees in Fuzzy PI control. A simulation model of a dual-area interconnected power grid with wind power for LFC was built using Matlab/Simulink. Two typical disturbances, namely random fluctuations in wind power and sudden increases/decreases in load, were simulated. The simulation results demonstrate that the cloud model-based intelligent PI controller designed in this paper can effectively track the frequency variations caused by random fluctuations in wind power and exhibits strong robustness.","PeriodicalId":12428,"journal":{"name":"Frontiers in Energy Research","volume":"30 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Energy Research","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3389/fenrg.2024.1477645","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The intermittent and fluctuating nature of active power output from wind power significantly affects the Load Frequency Control (LFC) in a power grid based on active power balance. To address this issue, this paper proposes a cloud-based intelligent PI controller designed to enhance the performance of LFC in smart grids with large-scale wind power integration. By using the error and the rate of change of error as the antecedent inputs of the cloud model-based controller and the tuning values of P and I as the consequent outputs of the cloud model, adaptive online tuning of the PI parameters is achieved. Based on the control rules of LFC in interconnected power grids and considering the uncertainty of wind power’s active power output, the membership cloud parameters are designed, which effectively solves the problems of poor parameter robustness in traditional PI control and significant human influence on membership degrees in Fuzzy PI control. A simulation model of a dual-area interconnected power grid with wind power for LFC was built using Matlab/Simulink. Two typical disturbances, namely random fluctuations in wind power and sudden increases/decreases in load, were simulated. The simulation results demonstrate that the cloud model-based intelligent PI controller designed in this paper can effectively track the frequency variations caused by random fluctuations in wind power and exhibits strong robustness.
风电有功功率输出的间歇性和波动性极大地影响了基于有功功率平衡的电网中的负载频率控制(LFC)。针对这一问题,本文提出了一种基于云的智能 PI 控制器,旨在提高大规模风电集成智能电网中 LFC 的性能。通过将误差和误差变化率作为基于云模型控制器的前输入,将 P 和 I 的调整值作为云模型的后输出,实现了 PI 参数的自适应在线调整。基于互联电网中 LFC 的控制规则,并考虑到风电有功功率输出的不确定性,设计了成员云参数,有效解决了传统 PI 控制中参数鲁棒性差和模糊 PI 控制中成员度受人为影响大的问题。利用 Matlab/Simulink 建立了风电双区互联电网的 LFC 仿真模型。模拟了两种典型的干扰,即风力发电的随机波动和负荷的突然增加/减少。仿真结果表明,本文设计的基于云模型的智能 PI 控制器能有效跟踪风电随机波动引起的频率变化,并表现出很强的鲁棒性。
期刊介绍:
Frontiers in Energy Research makes use of the unique Frontiers platform for open-access publishing and research networking for scientists, which provides an equal opportunity to seek, share and create knowledge. The mission of Frontiers is to place publishing back in the hands of working scientists and to promote an interactive, fair, and efficient review process. Articles are peer-reviewed according to the Frontiers review guidelines, which evaluate manuscripts on objective editorial criteria