An Anfis Based Control Approach for Network Connected Spv Framework
P. Naga Gunapriya1, K. Nagabhushanam2, R. Kiranmayi3
1P.Naga Guna Priya, PG Student, Department of Electronics and Electrical Engineering, JNTUACEA, Ananthapuramu (Andhra Pradesh), India.
2K. Nagabhushanam, Lecturer, Department of Electronics and Electrical Engineering, JNTUACEA Ananthapuramu (Andhra Pradesh), India.
3Dr. R. Kiranmayi, Professor and Head of the Department of Electronics and Electrical Engineering, JNTUACEA, Ananthapuramu (Andhra Pradesh), India
Manuscript received on 18 February 2019 | Revised Manuscript received on 27 February 2019 | Manuscript published on 28 February 2019 | PP: 34-40 | Volume-8 Issue-3, February 2019 | Retrieval Number: B5594128218/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A Network connected two-leg 3 stage 3 wire SPV (solar photo voltaic) structure with ANFIS (An Adaptive Neuro Fuzzy Inference framework) controller is exhibited in this paper, in which a lift converter is utilized as an essential stage to be used for the normal for MPPT (Maximum Power Tracking point) and a 3-leg VSC (Voltage Source Converter) is utilized to give the isolated SPV vitality alongside connected conveyance framework for development in the power quality.The THD(Total Harmonic Distortion) values of proposed algorithm is compared with neuron based control approach via simulation. The reduction of unwanted dc component, balancing of network currents and non active power compensation of the load flows are additional characteristics awarded by the proposed methodology. The dynamic performance of SPV system due to effects of insolation is obviously presented. The active power sparkly bit of load current is evaluated with an ANFIS control based control approach. The output of current part that considered system side expeditiously deals with the DC connect voltage. In the proposed methodology, the freight, PV exhibit are kept decoupled.. The obtainability of proposed control algorithm is affirmed through MATLAB/SIMULINK RESULTS.
Keywords: ANFIS, Solar PV; Two-leg; Power Quality; MPPT.
Scope of the Article: Network Architectures