Abstract
Background/Objectives: In grid connected photo voltaic systems inverter is the key element. The inverter is required to shape dc current into sinusoidal current and provide fast response under various disturbances. The quality of power injected into the grid depends on proper inverter control. The objective of this paper is reducing harmonics and to improve power factor in grid connected system with balanced and unbalanced loads.Methods/Statistical analysis: In this study, three control mechanisms, adaptive neuro fuzzy inference system (ANFIS), ANFIS with static synchronous compensator (STATCOM), ANFIS with dynamic voltage restorer (DVR) are employed to improve power quality. The performances of fuzzy and ANFIS controllers are compared in terms of total harmonic distortion and power factor. MATLAB/ Simulink is used to perform the simulation. Findings: ANFIS controller is more effective compared to fuzzy controller. ANFIS controller with DVR gives less THD and improved power factor as compared to fuzzy controller.Novelty/Applications: Fuzzy and neural network controllers do not need any mathematical modelling and give accurate control as compared to classical PI controllers. In this work, ANFIS controller alone and ANFIS controller along with custom power devices STATCOM and DVR are designed for reduction in total harmonic distortion and improved power factor. The results are tabulated, analyzed and compared with fuzzy controller. It has been shown that ANFIS controller gives better performance compared to fuzzy controller. Keywords: Artificial neural networks (ANN); Adaptive neuro fuzzy inference system (ANFIS); fuzzy controller; power factor; power quality; Total Harmonic Distortion (THD)
Highlights
It is estimated that renewable energy accounts for 55% of total installed capacity by 2030 in India
The harmonics produced in inverter can cause distortion in current waveform which results in low grid power factor and high total harmonic distortion
adaptive neuro fuzzy inference system (ANFIS) Controlled STATCOM and dynamic voltage restorer (DVR) are not used for power quality enhancement in grid connected PV System
Summary
It is estimated that renewable energy accounts for 55% of total installed capacity by 2030 in India. It is planned to increase the capacity of renewable energy to 500GW by 2030 These sources can be used as standalone or grid connected systems. Intelligent controllers, fuzzy and ANN have become preference for researchers due to their fast response time, fast corrective action and satisfactory performance These controllers do not require any mathematical modeling[2]. Fuzzy and ANN based controllers are proposed in literature to improve the performance of grid connected system[9,10,11]. ANFIS Controlled STATCOM and DVR are not used for power quality enhancement in grid connected PV System. ANFIS controller is an efficient controller and combines the advantages of both fuzzy and ANN. It is found that this novel technique improves power factor and reduces harmonic distortion when compared to fuzzy controller based system
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