International Journal of Computing and Digital Systems ISSN (2210-142X) Int. J. Com. Dig. Sys. 10, No.1 ( Nov-2021) E-mail address: sureshkumar.lv@gmrit.edu.in, nagaananth@gmail.com, pavankumar.yv@vitap.ac.in, john.darsy@vitap.ac.in, pradeep.ch@vitap.ac.in, ezzyariwa@yahoo.co.uk http://journals.uob.edu.bh http://dx.doi.org/10.12785/ijcds/1001110 Use of Super Conductor Magnetic Energy Storage System and FACTS Devices for Two-Area Load Frequency Control Having Synchronous Generators and DFIG Wind Generators L.V. Suresh Kumar 1 , D.V.N. Ananth 2 , Y. V. Pavan Kumar 3 , D. John Pradeep 3 , Ch. Pradeep Reddy 4 and Ezendu Ariwa 5 1 Department of Electrical and Electronics Engineering, GMR Institute of Technology, Srikakulam, Andhra Pradesh, India 2 Department of Electrical and Electronics Engineering, Raghu Institute of Technology, Visakhapatnam, Andhra Pradesh, India 3 School of Electronics Engineering, VIT-AP University, Amaravati-522237, Andhra Pradesh, India 4 School of Computer Science and Engineering, VIT-AP University, Amaravati-522237, Andhra Pradesh, India 5 Department of Computer Science and Technology, University of Bedfordshire, United Kingdom Received 10 October.2020, Revised 1 April. 2021, Accepted 10 April. 2021, Published 25 Nov. 2021 Abstract: The load change in a synchronous generator (SG) based power generation system is common which will mainly influence the change in voltage, power flows, frequency, load angle and burden of transmission lines and transformers due to change in current flow. The study which analyses the behavior of load change, compensating devices and its impact on change in frequency and real power flow is termed as load frequency control. The generators like Doubly Fed Induction Generator (DFIG), SG are supplying power in one area, and a total of two areas are considered in this paper. The load change is done in area-1 only and a change in frequency is observed in both areas. Two cases, one with thyristor-based controller capacitor storage phase shifters (TCPS) and the other with a superconducting magnetic storage system and hybrid models of such are done and in another case, Flexible AC Transmission devices such as TCPS, SSSC, UPFC and IPFC are used. Earlier authors have shown that compared to battery and ultra- capacitors, superconductor magnetic energy storage system (SMES) plays a vital role and few authors observed frequency regulation with different FACTS devices. Hence, we extended with SMES and FACTS devices and also in a coordinated manner to observe which combination gives better performance for the same disturbance. Using MATLAB software, the frequency change is observed in both cases, in the first case, TCPS is found better and in the second case, IPFC is found better in compensating the frequency change. Keywords: Doubly Fed Induction Generator (DFIG), Wind Energy, Load Frequency Control, FACTS Devices, Superconducting Magnetic Energy Storage System (SMES). 1. INTRODUCTION The power system main components are generating stations, transmission lines, distribution lines, load centres and industrial and sub-station load management units. The generating stations play a key role in supplying load reliably and effectively to the load centres without voltage or frequency disturbance. The distribution and transmitting stations supply real power at desired voltage and frequency to industrial, commercial and domestic loads such that the deviation in voltage and frequency with respect to rated value to be as lesser as possible. If there is a deviation in voltage or frequency due to load disturbances, the performance and the life of motors and lighting loads deteriorate. To overcome this, the distribution, transmission and generating stations control the frequency such that the deviation in frequency is as low as possible last few decades [1, 2]. The load frequency control is done on the distributed generation model is done for low and medium power level applications where generator speed control and model- based control techniques are widely used [3-6]. There are various advanced control schemes such as adaptive reference models, intelligent fuzzy, neural networks, and meta-heuristic techniques like GA, PSO etc., are used [7-