Open AccessA Novel Multi-Functional DSTATCOM with Distribution Generation using FRC Controller
Author(s) -
Ch. S. V. Prakash,
G. Kesava Rao,
O. Chandra Sekhar,
P. V. Satyaramesh
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i3.pp1373-1382
Subject(s) - computer science , ac power , power factor , controller (irrigation) , compensation (psychology) , control theory (sociology) , initialization , renewable energy , matlab , harmonic , power (physics) , grid , distributed generation , electronic engineering , voltage , control (management) , engineering , electrical engineering , mathematics , psychology , agronomy , physics , geometry , quantum mechanics , artificial intelligence , psychoanalysis , biology , programming language , operating system
Distribution Generation plays a significant role in remote areas where the utility grid is affected and initializing by renewable energy sources to acquire the sufficient power demand. In distribution system, it is very exigent consumer related concern which is confronted due to mis-operation of massive non-linear load apparatus. A multi-functional distributed static compensator incorporates the best choice for enhancing the power quality features with effective control scheme under rambled non-linear loads. Conventional control schemes are more adversed with greater switching losses due to extreme harmonic frequencies in a refernce current component. This paper proposes, a novel multi-objective fundamental reference current control scheme based multi-functional DSTATCOM furnishes the current harmonic compensation at PCC, reactive power compensation, power factor correction, active power exchanging, minimizing the switching losses, incredible efficiency and power factor correction. The validation of proposed multi-functional DSTATCOM with proposed control strategy under rated capacity of distribution generation is evaluated by using Matlab/Simulink platform and simulation results are presented.