Power Research

D. K. Chaturvedi ¹, Rahul Umrao ², Vikas Pratap Singh ³

Affiliations
1 Professor, Department of Electrical Engineering, DEI Deemed University, Agra, IN
2 Allen Institute of Technology Kanpur, IN
3 Senior Research Fellow, ERED, CPRI, Bangalore, IN

Abstract

Fuzzy logic controller is based on human experience. Human experience is encoded in the form of fuzzy rule base to control the system. It is difficult to decide the size of fuzzy rule base. As the number of rules increases the performance of controller is better. At the same time its complexity increases which in turn affects the computation time and memory requirements. To overcome these problems, a Polar Fuzzy logic controller (PFC) is proposed for the load frequency control problem of nonlinear three area interconnected power system. In this paper, The PFC is made adaptive using Real Coded Genetic algorithm- fuzzy system (RCGAF) approach. The performance of simple PFC and adaptive PFC using RCGAF is compared with fuzzy and conventional PI controller.

Keywords

Load frequency control, adaptive polar fuzzy logic, real coded genetic algorithm, power systems.

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D. K. Chaturvedi ¹, Manmohan ², Rahul Umrao ³, Vikas Pratap Singh ⁴

Affiliations
1 Dept. of Electrical Engineering Faculty of Engineering, D.E.I. Dayalbagh, Agra, U.P.-282 005, IN
2 Department of Electrical Engineering Faculty of Engineering Dayalbagh Educational Institute (Deemed University) Dayalbagh, AGRA - 282005 (UP), IN
3 Dept. of Electrical Engineering Allen house Institute of Technology, Kulgaon Road, Rooma, Chakeri Ward, Kanpur, Uttar Pradesh - 208008, IN
4 IIT Jodhpur and Energy Efficiency and Renewable Energy Division, Central Power Research Institute, Bangalore - 560080, IN

Abstract

The Fuzzy Logic Controller has proven its worthiness for nonlinear complex systems. Multi-area power system is quite complex and nonlinear in nature. In this paper, Fuzzy logic controller (FLC) is developed for three area nonlinear power system. But there are inherent drawbacks of FLC such as its performance depends on number of rules, long computation time, large memory requirement etc. To overcome these problems, a polar fuzzy controller (PFC) is proposed to control the load frequency deviations in multi area power system. The PFC works on the basis that an angle acts as an input and controller response as an output. In conventional PI controller and FLC, two gains are to be tuned;whereas the PFC needs only one gain to be tuned, because the angle of PFC is calculated from the ratio of frequency deviation and the integral of frequency deviation. Hence, only one gain is sufficient to tune it. In PFC, only two rules are sufficient in the rule base. The work is extended to test the performance of proposed PFC in real time environment with the help of OPAL-RT simulator (OP 5142 v 10.2.4).

Keywords

Load frequency control, Polar fuzzy Controller, Real time simulation, AGC.

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