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PSO Tuned AGC Strategy of Multi Area Multi-Source Power System Incorporating SMES

This paper investigates the effect of Super Conducting Magnetic Energy Storage System (SMES) in Automatic Generation Control (AGC) of multi area multi-source interconnected power systems. Primarily, the tuning of Integral controller (IC) in AGC strategy of three identical capacity control areas as non-reheat thermal, hydro and gas power system incorporating SMES is explored. The system dynamic stability is illustrated by comparing frequency responses, settling time, peak overshoot and performance index value of the system. For analysis, tuning of IC has been done by considering the performance index as Integral Square Error (ISE). The comparative analysis of different Artificial Intelligent techniques tuned AGC strategy with and without SMES on 1% step load perturbation in each area has been presented. The dominance of SMES with PSO (Particle Swarm Optimization) tuned integral controller has been established for the AGC strategy of thermal-hydro-gas interconnected power system. Moreover, this study shows that the sluggishness of dynamic response in case of participation of hydro power system is significantly improved with the application of SMES in multi area-multi source power system. Further, the comparative study is presented to demonstrate the effect of SMES on PSO tuned AGC strategy of multi area thermal-hydro-gas power system on 1% step load perturbation in different control areas. It has been analyzed that the studied system shows better performance in case of load disturbance in gas power system or thermal power system as a control area than the hydro power system as a control area.