Experimental Investigations on Grid Integrated Wind Energy Storage System Using Neuro Fuzzy Controller

Experimental Investigations on Grid Integrated Wind Energy Storage System Using Neuro Fuzzy Controller

Krishnan Suresh  Attuluri R.Vijay Babu Perumal M. Venkatesh 

RC-RES, Department of Electrical and Electronics Engineering, Vignan’s Foundation for Science, Technology & Research, Guntur 522213, Andhra Pradesh, India

Corresponding Author Email: 
28 July 2018
| |
30 September 2018
| | Citation



This paper presents harnessing of maximum wind energy from natural resource whenever it’s available. The power electronic converters role is important In between sources and load. The load may be linear and non-linear in nature, so converters performance decides the efficiency of the system. Proper controller can switch the converter in the desired time and improve the system performance and stability. Many controllers are suggests to control the converter to get better performance in at output side. The proposed system also has boost converter, bidirectional DC-DC converter and inverter for grid and wind energy integration. The boost inverter/buck rectifier in this system is controlled by ANFIS controller is for better output, boost and bidirectional DC-DC converters are controlled by PID controller in closed loop. Overall operations are based on modes main controller speedgoat, which is control the system operation in different modes. Any variation happening in the input, storage and load parameters speedgoat changing the mode and operate the system is in effective way. Based on the system conditions speedgoat generates control signal for the control breakers, these control breakers changing modes of operation. ANFIS, PID and speedgoat are the three controllers combined together which harness maximum wind energy and this system is applicable for both linear and non-linear loads in domestic applications.


speedgoat, bidirectional DC-DC converter, boost inverter, ANFIS

1. Introduction
2. Five Modes of Operation
3. Analysis of Wind Energy System
4. Simulation and Results
5. Hardware and Results
6. Conclusion

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