Optimal automatic generation control in a multi-area power system through combined state and control gain
Joint Authors
Majid, Wafa Said
Ahmad, Muhammad Sh.
Source
Journal of Engineering and Sustainable Development
Issue
Vol. 25, Issue (s) (31 Dec. 2021), pp.205-214, 10 p.
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2021-12-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Topics
Abstract EN
For optimum load frequency regulation, a combined estimate of state and feed-back gain is proposed.
One of the key research areas of power system operation is automatic generation control (AGC) or load frequency control (LFC), This technology reacts to disturbances in order to maintain system frequency.
Feedback stabilization is a well-known solution to this problem.
A control loop with LQR architecture uses parameters that are known to the system to compute the feedback gain K, and then applies power, assuming all state variables are available.
This study proposes enhancing state variables with controller gains.
As a result of system resource requirements fluctuating and the varying system parameter, the controller gains needed to regulate the system are provided.
American Psychological Association (APA)
Ahmad, Muhammad Sh.& Majid, Wafa Said. 2021. Optimal automatic generation control in a multi-area power system through combined state and control gain. Journal of Engineering and Sustainable Development،Vol. 25, no. (s), pp.205-214.
https://search.emarefa.net/detail/BIM-1273103
Modern Language Association (MLA)
Ahmad, Muhammad Sh.& Majid, Wafa Said. Optimal automatic generation control in a multi-area power system through combined state and control gain. Journal of Engineering and Sustainable Development Vol. 25, Special issue (2021), pp.205-214.
https://search.emarefa.net/detail/BIM-1273103
American Medical Association (AMA)
Ahmad, Muhammad Sh.& Majid, Wafa Said. Optimal automatic generation control in a multi-area power system through combined state and control gain. Journal of Engineering and Sustainable Development. 2021. Vol. 25, no. (s), pp.205-214.
https://search.emarefa.net/detail/BIM-1273103
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1273103