Decentralized Event-Triggered Frequency Control With Guaranteed L ∞-Gain for Multi-Area Power Systems

التفاصيل البيبلوغرافية
العنوان: Decentralized Event-Triggered Frequency Control With Guaranteed L ∞-Gain for Multi-Area Power Systems
المؤلفون: David J. Hill, Luwei Yang, Tao Liu
المصدر: IEEE Control Systems Letters. 5:373-378
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2021.
سنة النشر: 2021
مصطلحات موضوعية: 0209 industrial biotechnology, Control and Optimization, Automatic Generation Control, Computer science, Stability criterion, 020208 electrical & electronic engineering, Automatic frequency control, Stability (learning theory), Sampling (statistics), 02 engineering and technology, Dwell time, Electric power system, 020901 industrial engineering & automation, Control and Systems Engineering, Control theory, Bounded function, 0202 electrical engineering, electronic engineering, information engineering
الوصف: This letter proposes a novel decentralized event-triggered control algorithm to replace the conventional periodic sampling/communication mechanism of automatic generation control (AGC) for multi-area power systems. For each control area, event-triggering rules that only rely on local measurements are designed to decide the sampling/communication instants. Further, a strictly positive dwell time is introduced to exclude Zeno behaviours. The $\mathcal {L}_{\infty }$ -stability of the multi-area power system with the developed event-triggered control law and essentially bounded net load disturbances is studied, and a sufficient stability criterion is established. Finally, case studies demonstrate the effectiveness and efficiency of the proposed method.
تدمد: 2475-1456
DOI: 10.1109/lcsys.2020.3002422
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7153934c43b4fcf0b7aa01c35580ee7b
https://doi.org/10.1109/lcsys.2020.3002422
Rights: CLOSED
رقم الانضمام: edsair.doi...........7153934c43b4fcf0b7aa01c35580ee7b
قاعدة البيانات: OpenAIRE
الوصف
تدمد:24751456
DOI:10.1109/lcsys.2020.3002422