Abstract
Several artificial intelligent control schemes are highly used in several applications, in that ANFIS controller has been greatly recognized due to enhanced performance over the classical PI and Fuzzy controllers. At present the multi-feeder power distribution system is deteriorated with continuity of supply and poor power quality standards. In this multi-feeder distribution system, it is a regular consumer related issue which is acquired due to malfunctioning of massive non-linear loads. These loads create the voltage or current imperfections on distribution networks which disrupts the power quality of distribution system. An efficient and reliable active compensation scheme is used for attaining enhanced power quality features at PCC of multi-feeder distribution system with effective control functions. The Multi-Feeder Unified Power Quality Compensator (MF-UPQC) is optimal choice for attaining enhanced power quality features and it is a combined shunt or series compensator driven by common DC-link. This paper recommends the Adaptive Neuro-Fuzzy Intelligent Controller (ANFIS) based prediction technique for generation of optimal switching states to enhance performance of proposed MF-UPQC to compensate all voltage-current PQ imperfections. The performance of proposed MF-UPQC is verified by classical PI, Fuzzy and proposed ANFIS control functions by using MATLAB/SIMULINK tool and results are conferred with proper comparisons.
Highlights
Economic growth of any nation depends upon the reliable and quality of Electrical power availability to industries and agricultural sector
This paper proposes novel Adaptive Neuro-Fuzzy Inference System (ANFIS) control function with good improved characteristics
The performance of Multi-Feeder Unified Power Quality Compensator (MF-Unified Power Quality Compensator (UPQC)) is evaluated under the presence of classical PI, Fuzzy/Hybrid Fuzzy Logic and ANFIS controllers by using MATLAB/SIMULINK tool, simulation results conferred with comparative studies
Summary
Economic growth of any nation depends upon the reliable and quality of Electrical power availability to industries and agricultural sector. Haranadhareddy Institute of Engineering & Technology, Guntur, A.P., India factor improvement, voltage-sag, voltage swell, un-balancing loading These PQ issues in multi-feeder distribution systems are not a new things but the awareness of these PQ issues has been increased at current situation by end-user consumers [2]. Performance of Interline Unified Power Quality Conditioner (IUPQC) With PI, Fuzzy and ANFIS Controllers control functions for acquiring the efficient performance to maintain DC-link voltage as constant This classical PI and Fuzzy controller never regulates the DC-link voltage under sudden interruptions, parameter variations, moderate PQ compensation characteristics etc. This paper proposes novel Adaptive Neuro-Fuzzy Inference System (ANFIS) control function with good improved characteristics It is constituted by emblematic path along with knowledge proficiency for prediction of optimal switching states to proposed MF-UPQC to acquire improved PQ features in a multi-feeder distribution system. The performance of MF-UPQC is evaluated under the presence of classical PI, Fuzzy/Hybrid Fuzzy Logic and ANFIS controllers by using MATLAB/SIMULINK tool, simulation results conferred with comparative studies
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