Publication Type : Book Chapter
Publisher : Springer Nature Singapore
Source : Lecture Notes in Electrical Engineering
Url : https://doi.org/10.1007/978-981-96-9554-6_21
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2026
Abstract :
Electric network deregulation and restructuring is one of the paramount energy developments worldwide. The new framework encourages penetration of renewable power sources. Under the new framework, the generating companies perform power transactions according to the contract. The scheduling of power generation is done by deploying load frequency control, that aims to maintain system frequency at nominal value and transmission line power at contract value. A satisfactory performance of the control system can be assured by employing a well-trained secondary controller. Existing research works deploys many heuristic approaches and prove the enhanced performance when compared with the secondary controller tuned using Ziegler–Nichols method, the well-known classical tuning approach. There exists an alternate closed loop proportional control test named Tyreus–Luyben tuning method. This paper analyzes the performance of these two classical closed loop proportional control approaches when deployed in load frequency control system and suggests the best method that stands as the benchmark for future research works. The analysis is performed on the mathematical model of a two-area load frequency control system, created in MATLAB Simulink. The model is analyzed incorporating the two controllers during contract and violated conditions. The performance analysis and the selection of the best tuning approach is done by considering integral square error, integral time absolute error, peak overshoot, and undershoot.
Cite this Research Publication : R. R. Lekshmi, Rajkumar Palaniappan, Analysis of Classical Tuning Methods to Perform Frequency Regulation in a Multi-area Power System with Hybrid Units Operating Under Bilateral Market, Lecture Notes in Electrical Engineering, Springer Nature Singapore, 2026, https://doi.org/10.1007/978-981-96-9554-6_21