Power Research

Open Access Open Access  Restricted Access Subscription Access

Literature Review on Frequency Regulation in Traditional Power Systems Restructured Systems and Smart Grid


Affiliations
1 Department of Electrical Engineering, Indian Institute of Technology, Madras, Chennai - 600036, India

   Subscribe/Renew Journal


A literature survey on the main control strategies used for load frequency control in electrical power systems is presented. This includes traditional as well as restructured power systems. As load becomes more and more unpredictable and also as supply becomes distributed, the frequency control strategies for the emerging Smart grid must include demand-side management also. A survey on demand response and active load control is also discussed.

Keywords

Load Frequency Control, PI Controller, Optimal Control, Adaptive Control, Artificial Neural Network, Neurofuzzy Control, Reinforcement Learning, Model Predictive Control, Deregulation, Smart Grid, Demand Response, Active Load Control.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 243




  • Literature Review on Frequency Regulation in Traditional Power Systems Restructured Systems and Smart Grid

Abstract Views: 243  | 

Authors

Devika Jay
Department of Electrical Engineering, Indian Institute of Technology, Madras, Chennai - 600036, India
K. S. Swarup
Department of Electrical Engineering, Indian Institute of Technology, Madras, Chennai - 600036, India

Abstract


A literature survey on the main control strategies used for load frequency control in electrical power systems is presented. This includes traditional as well as restructured power systems. As load becomes more and more unpredictable and also as supply becomes distributed, the frequency control strategies for the emerging Smart grid must include demand-side management also. A survey on demand response and active load control is also discussed.

Keywords


Load Frequency Control, PI Controller, Optimal Control, Adaptive Control, Artificial Neural Network, Neurofuzzy Control, Reinforcement Learning, Model Predictive Control, Deregulation, Smart Grid, Demand Response, Active Load Control.



DOI: https://doi.org/10.33686/prj.v7i1.189662