You are in:Home/Publications/Design of Proportional-Integral-Derivative Controller Using Stochastic Particle Swarm Optimization Technique for Single-Area AGC Including SMES and RFB Units

Prof. Mohamed Ahmed Ebrahim Mohamed :: Publications:

Title:
Design of Proportional-Integral-Derivative Controller Using Stochastic Particle Swarm Optimization Technique for Single-Area AGC Including SMES and RFB Units
Authors: M. A. Ebrahim, K Jagatheesan, B Anand, Nilanjan Dey
Year: 2016
Keywords: Automatic generation control (AGC); Interconnected power system; Energy storage unit; Stochastic particle swarm optimization (SPSO); Proportional-integral-derivative controller (PID).
Journal: Proceedings of the Second International Conference on Computer and Communication Technologies
Volume: 380
Issue: 1
Pages: 299-309
Publisher: Springer India
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

In this work, electromechanical oscillations in single-area power systems can be effectively reduced by the influence of energy storage unit, and it helps in the load leveling process and performance improvement of the system. This proposed paper describes the application of super magnetic energy storage (SMES) unit and redox flow battery (RFB) in single-area non-reheat, single, and double reheat thermal power system. The commonly used industrial PID controller act as a control strategy and the optimal gain values are obtained using three different cost functions with stochastic particle swarm optimization technique (SPSO). The dynamic performance of the investigated power system is obtained and examined with one percent step load perturbation.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus