Hybrid Controller in Immune Feedback Control Algorithm for Distribution Static Compensator
S. Padma Sharon1, K. Jithendra Gowd2, M. Srinivasarao3

1S. Padma Sharon, PG Student, Department of Electrical and Electronics Engineering, JNTU Anantapur, AP, India.
2K. Jithendra Gowd, Assistant Professor, Department of Electrical and Electronics Engineering, JNTU Anantapur, AP, India.
3M. Srinivasarao, Ph.D research Scholar, Department of Electrical and Electronics Engineering, JNTUA Anantapur, AP, India.

Manuscript received on December 18, 2020. | Revised Manuscript received on December 20, 2020. | Manuscript published on January 30, 2020. | PP: 17-23 | Volume-9 Issue-5, January 2020. | Retrieval Number: E3350019520/2020©BEIESP | DOI: 10.35940/ijsce.E3350.019520
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© The Authors. Published By: 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: This paper bestows a biological immune feedback control for DSTATCOM hinge on fuzzy logic techniques. The proposed algorithm relies on adaptive and self-corrective. An immune feedback algorithm proposed for DSTATCOM can balance loads, estimate fundamental grid currents from nonlinear load currents, maintain unity power factor, reduce harmonics of the supply currents and can mitigate reactive power. DSTATCOM’S configuration chosen relies on 3-Φ VSC that is appropriately controlled as a shunt compensator to perform on power quality issues. Replacing of ANFIS-PID (hybrid) controller in immune feedback control where, ANFIS is collaboration of fuzzy logic and neural network system, hybrid controller for DSTATCOM can perform better over PI controller. Simulation is directed using MATLAB to prove performance of the system by replacing hybrid controller, enhancement in power quality (PQ) is achieved.
Keywords: Immune feedback control; DSTATCOM; power factor correction; power quality; ANFIS-PID controller.