Automatic Generation Control of Two Area Thermal Power System using Single Objective PSO and DE Optimization Techniques
Solomon Feleke Aklilu
Dr. Solomon Feleke Aklilu, Department, ECE, Debre Berhan University, Debre Berhan, Ethiopia.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 1436-1441 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2842039520/2020©BEIESP | DOI: 10.35940/ijitee.E2842.039520
Open Access | Ethics and Policies | Cite | Mendeley
© 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: Now a days AGC has a great roll in controlling the mismatch between generation and load in interconnected power system, to attain AGC more optimal, tuning the controller using optimization techniques is needed. In this paper PSO and DE optimization techniques are employed for dynamic frequency control analysis. For dynamic analysis, the PID gain parameters obtained through single objective optimization using PSO and DE techniques, the controls are implemented by considering 1% of change in load disturbance in area 1 only and computed with sum of absolute value of ith area control error at time t as objective function and simulation result is obtained by interfacing Matlab (.m file) with Simulink block model under study . Comparison analysis is performed between PSO-PID, without controller and DE-PID. According to the investigations, better dynamic response performance is achieved through DE-PID method than the PSO-PID technique for the measured parameters of time response transient analysis such as maximum overshoot, rise time, maximum undershoot and settling time in AGC of two area system.
Keywords: ACE, AGC of two Area Model, Convergence Characteristics, DE, ITAE, PID Controller, PSO.
Scope of the Article: Next Generation Internet & Web Architectures