Enhancing the Performance of Hybrid Power System Using SMES-UPFC and Tunned with Genetic Algorithms

In this paper two areas interconnected hybrid power system is investigated under the deregulated environment. The two-area system consists of thermal-hydro-gas-nuclear and diesel power generating unit. The PID tuner is used to minimize error in tie line power and area control error (ACE). To improve the reactive power unified Power flow controller (UPFC) is used. To manage surplus power or instant load exchange the super magnetic energy storage (SMES). Various combinations of test using SMES and UPFC is applied to the two-area system. The frequency response of the system is analyzed in terms of settling time, rise time, peak overshoot, and undershoot. To get the best possible state of the system the Genetic Algorithm (GA) optimization technique is used to get gain and time constant of SMES, UPFC and PIDF tuner. The minimum settling time of 12.47Sec is obtained using UPFC for frequency of area-1 whereas 11.3Sec is obtained for frequency of area-2. The settling time for tie line power is reached up to 15.9Sec. The whole two-area system is designed to in MATLAB SIMULINK 2018a.