Automatic Generation Control of Two Area Thermal Power System using Single Objective PSO and DE Optimization Techniques
Author(s) -
Solomon Feleke Aklilu
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2842.039520
Subject(s) - pid controller , overshoot (microwave communication) , control theory (sociology) , settling time , particle swarm optimization , automatic generation control , interfacing , controller (irrigation) , matlab , step response , load rejection , transient (computer programming) , power (physics) , transient response , computer science , rise time , electric power system , control engineering , engineering , temperature control , voltage , control (management) , algorithm , telecommunications , artificial intelligence , biology , operating system , quantum mechanics , agronomy , mechanical engineering , physics , turbine , computer hardware , electrical engineering
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.
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