Automatic Generation Control for Autonomous Hybrid Power System Using Single and Multi-objective Salp Swarm Algorithm

4Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The main objective of the paper is to design a load frequency controller for Autonomous Hybrid power system by using Single and Multi objective soft computing technique. A novel controller such as Two degree of freedom PID (2DOFPID) controller has established a secondary controller for minimization of the frequency of oscillations. Recently proposed Salp swarm algorithm (SSA) technique was used to obtain the parameter of the controller. In this regard, to obtain the effectiveness of proposed technique, the performances are compared with other techniques such as Grasshopper optimization algorithm (GOA), Ant Lion optimizer (ALO) and Particle swarm optimization (PSO). The simulation studies (results) are carried out under five different sets of load disturbance which reveal the efficacy and superiority of Salp swarm algorithm based controller compared with other controllers.

Cite

CITATION STYLE

APA

Pavan Kumar Neeli, V. S. R., & Salma, U. (2020). Automatic Generation Control for Autonomous Hybrid Power System Using Single and Multi-objective Salp Swarm Algorithm. In Advances in Intelligent Systems and Computing (Vol. 1039, pp. 624–636). Springer. https://doi.org/10.1007/978-3-030-30465-2_69

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free