Paper Info
Title
Adaptive technique for PQ analysis in renewable sources with grid integrated SSFC
Abstract
In power quality (PQ) problems, the flexible AC transmission system (FACTS) devices have been developed the real power and reducing the PQ issues of the power system. Here the PQ analysis in photovoltaic (PV), wind turbine (WT) system with grid integrated static switched filter compensator (SSFC) is controlled by adaptive technique. The adaptive technique works with the combined process of Cuttle fish algorithm (CFA) and recurrent neural network (RNN) algorithm. The proposed adaptive technique is controlling the irregular switching process of the shunt capacitor banks of a tuned arm filter in SSFC device. The novelty of the proposed technique is improved for energy efficiency and demand management in grid utilization process. Here a power injection model of SSFC is considered to control the real power flow control in terms of grid utilization. The switching process is controlled by balancing control signal generated with the help of pulse width modulation (PWM) process. To modulate the PWM is used by two regulators, which is based on a tri-loop real error managed combined weighted adjusted proportional integral derivative controller. The proposed SSFC system is designed and implemented in MATLAB/Simulink platforms and the performance is validated with some existing devices such as unified power flow controller and SSFC devices.
Year
DOI
Venue
2020
10.1007/s12652-019-01283-5
Journal of Ambient Intelligence and Humanized Computing
Keywords
DocType
Volume
PQ, PV, Micro grid, WT, FACTS, SSFC, PID controller, CFA, RNN algorithm
Journal
11
Issue
ISSN
Citations 
6
1868-5137
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
S. Mani Kuchibhatla100.34
D. Padmavathi200.34
R. Srinivasa Rao300.34