Neural sliding-mode load frequency controller design of power systems
Qian, Dianwei1; Zhao, Dongbin2; Yi, Jianqiang; Liu, Xiangjie1
Source PublicationNEURAL COMPUTING & APPLICATIONS
2013-02-01
Volume22Issue:2Pages:279-286
SubtypeArticle
AbstractLoad frequency control (LFC) is one of the most profitable ancillary services of power systems. Governor dead band (GDB) nonlinearity is able to deteriorate the LFC performance. In this paper, controller design via a neural sliding-mode method is investigated for the LFC problem of power systems with GDB. Power systems are made up of areas. In each area, a sliding-mode LFC controller is designed by introducing an additional sate, and a RBF neural network is utilized to compensate the GDB nonlinearity of the area. Weight update formula of the RBF network is derived from Lyapunov direct method. By this scheme, not only the update formula is obtained, but also the control system possesses the asymptotic stability. Simulation results illustrate the feasibility and robustness of the presented approach for the LFC problems of single-area and multi-area power systems.
KeywordLoad Frequency Control Sliding-mode Control Governor Dead Band (Gdb) Compensator Design Neural Networks
WOS HeadingsScience & Technology ; Technology
WOS KeywordAUTOMATIC-GENERATION CONTROL ; VARIABLE-STRUCTURE CONTROLLER ; GOVERNOR DEADBAND ; ENERGY-STORAGE ; ALGORITHM
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000313657600010
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3531
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorQian, Dianwei
Affiliation1.N China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Qian, Dianwei,Zhao, Dongbin,Yi, Jianqiang,et al. Neural sliding-mode load frequency controller design of power systems[J]. NEURAL COMPUTING & APPLICATIONS,2013,22(2):279-286.
APA Qian, Dianwei,Zhao, Dongbin,Yi, Jianqiang,&Liu, Xiangjie.(2013).Neural sliding-mode load frequency controller design of power systems.NEURAL COMPUTING & APPLICATIONS,22(2),279-286.
MLA Qian, Dianwei,et al."Neural sliding-mode load frequency controller design of power systems".NEURAL COMPUTING & APPLICATIONS 22.2(2013):279-286.
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