A novel modified robust load frequency controller scheme

• Published in: Energy systems (Berlin. Periodical) Vol. 11; no. 4; pp. 1175 - 1198
• Main Authors: Abo-Elyousr, Farag K., Sharaf, Adel M.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2020; Springer Nature B.V
• Subjects: Algorithms; Computer simulation; Controllers; Damping; Distributed generation; Economics and Management; Energy; Energy Policy; Energy sources; Energy Systems; Frequency control; Integrals; Objective function; Operations Research/Decision Theory; Optimization; Order parameters; Original Paper; Robust control; Swarm intelligence; System effectiveness; Time domain analysis; Fractional order PI controller; Load frequency control (LFC); Robustness improvements; Optimal control; Artificial bee colony (ABC); Virtual inertia generator
• ISSN: 1868-3967; 1868-3975
• DOI: 10.1007/s12667-019-00341-3

The main target of this study is to allow virtual inertia modern distributed energy resources (DERs) to participate effectively within interconnected power systems via fractional order PI controller. Fractional order proportional plus integral (PI) is a PI whose integral order is a faction rather than integer numbers. The load frequency control (LFC) approach determines the fractional order PI parameters based on an artificial bee colony optimization algorithm. Besides, a per phase linearized model for massless DERs was developed for solving LFC issues. In order to avoid the complexity associated with the power systems, the optimization problem was formulated based on a time domain objective function, which is based on the norm of each area control error vector. The time domain simulated evaluations are compared with the classical PI and integral controllers. Simulated results show that the developed factional order PI outperforms the other controllers in terms of damping the oscillations and many system indices.