Implementation of SSA based two-Degree-of Freedom Fractional Order PID Controller for AGC with Diverse Source of Generations
Tapas Kumar Mohapatra1, Asim Kumar Dey2, Binod Kumar Sahu3
1Tapas Kumar Mohapatra, Department Electrical Engineering, ITER, SOA University, Bhubaneswar (Odisha), India.
2Asim Kumar Dey, Department Electrical Engineering, ITER, SOA University, Bhubaneswar (Odisha), India.
3Binod Kumar Sahu, Department Electrical Engineering, ITER, SOA University, Bhubaneswar (Odisha), India.
Manuscript received on 25 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 27 April 2019 | PP: 346-356 | Volume-7 Issue-6S2 April 2019 | Retrieval Number: F9072047619/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This article presents a novel salp swarm algorithm (SSA) to design optimal controllers for automatic generation control of a multi-area, multi-source power system. Every area of the power system has a thermal, a hydro and a gas unit. Initially conventional PID controllers are designed using SSA. Results obtained are compared with that of conventional controller based on Differential Evolution (DE), Teaching Learning Based Optimization (TLBO) and Imperialist Competitive Algorithm (ICA). After ensuring superior performance with SSA based conventional PID controller, the study is extended to design two-degree of freedom conventional PID (2DOF-PID) and two-degree of freedom fractional order PID (2DOF-FOPID) controller for the same power system implementing SSA techniques. It is proved that SSA based 2DOF-FOPID controller demonstrates better dynamic response as compared to other controllers. The study is carried out by applying a step load disturbance of 1 pu in area-1 and integral time absolute error (ITAE) is chosen as objective function in designing the controllers. Robustness analysis is carried out by varying the systems’ parameters and applying a randomly changing loading pattern in area-1. In both the cases the proposed SSA based 2DOF-FOIPD controller is found firmly robust.
Keywords: Automatic Generation Control (AGC); Fractional Order PID (FOPID) Controller; Salp Swarm Algorithm (SSA), Two Degree of Freedom FOPID (2DOF-FOPID).
Scope of the Article: Next Generation Internet & Web Architectures