PID controller adjustment using chaotic optimisation algorithm for multi-area load frequency control

• Published in: IET control theory & applications Vol. 6; no. 13; pp. 1984 - 1992
• Main Authors: Farahani, M., Ganjefar, S., Alizadeh, M.
• Format: Journal Article
• Language: English
• Published: Stevenage Institution of Engineering and Technology 01.09.2012; John Wiley & Sons, Inc
• Subjects: Algorithms; Applied sciences; Chaos theory; Computer simulation; Control systems; Control theory; Electric power generation; Electrical engineering. Electrical power engineering; Electrical machines; Electrical power engineering; Exact sciences and technology; Operation. Load control. Reliability; Optimization; Power networks and lines; Proportional integral derivative; Regulation and control; Chaos; Output power; Electrical network; Load frequency control; Distributed power generation; Differential integral proportional control; Chaotic systems
• ISSN: 1751-8644; 1751-8652
• DOI: 10.1049/iet-cta.2011.0405

The early aim of the automatic generation control is to regulate the power output of the electrical generator within a prescribed area in response to changes in system frequency, tie-line loading, so as to maintain the scheduled system frequency and interchange with the other areas with predetermined limits. The purpose of this study is to propose a PID optimised by the lozi map-based chaotic algorithm (LCOA) to solve the load-frequency control (LFC) problem. The PIDs tuned by the LCOA are used in each area for a two-area power system. The simulation results are used to demonstrate the effectiveness and performance of the proposed controller. It is shown that optimised PID is able to solve the LFC problem and also the performance of the system in each area is satisfactory. In addition, a comparative study is carried out between the results obtained from PID tuned by the LCOA and the other optimisation algorithms. [PUBLICATION ABSTRACT]