Abstract—In the present paper, a Non-Conventional source, wind system is considered for Load Frequency Control (LFC) problem. Modeling of a stand-alone wind system and a Hybrid wind-diesel system is done. In both the cases variable power consumptions as well as the intermittent wind power may cause a large fluctuation of system frequency. The system will lose stability, if the system frequency is not controlled. In addition, variation of system parameters, unpredictable power demands, fluctuating wind power etc., cause various uncertainties in the system. Literature shows Fuzzy controllers including Super Magnetic Energy Storage (SMES) units are suitable for highly chaotic systems. In the present paper, Fuzzy controller, which is termed as Type-1 Fuzzy including SMES units, is designed based on the analytical structure. Type-1 fuzzy can further be modified to Type-2 fuzzy by giving grading to the membership functions. Based on the same analytical structure, a robust decentralized control scheme is designed using Type-2 Fuzzy logic controlled SMES Controller. In the present paper it is observed that dynamic response with Type-2 Fuzzy controller for change in load and change in wind power is better when compared with conventional SMES controller and Type-1 fuzzy logic SMES controller.

Index Terms—load frequency control (LFC), stand-alone wind system, hybrid wind diesel system, Type-2 fuzzy logic SMES controller

Cite: R. Vijaya Santhi, K. R. Sudha, and A. Chandra Sekhar, "A Robust Decentralized Controller for Stand-Alone Wind Systems and Hybrid Wind-Diesel Systems Using Type-2 Fuzzy Approach," International Journal of Signal Processing Systems, Vol. 2, No. 1, pp. 48-54, June 2014. doi: 10.12720/ijsps.2.1.48-54