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ANFIS Controlled Reactive Power Compensation Utilizing Grid-Connected Solar Photovoltaic System as PV-STATCOM


Affiliations
1 Electrical Engineering Department, National Institute of Technology, Kurukshetra 136 119, India

This article proposes Adaptive Neuro Fuzzy Inference System (ANFIS) based control scheme for dual use of the grid connected solar photovoltaic (PV) system as the active power source when irradiance is high and as static compensator (STATCOM) for reactive power compensation to the grid when the irradiance level is inadequate. This way the strategy results in optimal utilization of the converter circuit of the solar PV. Thus, the dual use of solar PV system brings in additional advantages in terms of enhanced power transmission capability of the grid. To examine the efficacy of the proposed control strategy, the system is modeled and analysed in using MATLAB/Simulink tool and also validated over real-time simulator (OPAL-RT-OP5700).
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  • ANFIS Controlled Reactive Power Compensation Utilizing Grid-Connected Solar Photovoltaic System as PV-STATCOM

Abstract Views: 155  | 

Authors

Naveen Gira
Electrical Engineering Department, National Institute of Technology, Kurukshetra 136 119, India
Anil Kumar Dahiya
Electrical Engineering Department, National Institute of Technology, Kurukshetra 136 119, India

Abstract


This article proposes Adaptive Neuro Fuzzy Inference System (ANFIS) based control scheme for dual use of the grid connected solar photovoltaic (PV) system as the active power source when irradiance is high and as static compensator (STATCOM) for reactive power compensation to the grid when the irradiance level is inadequate. This way the strategy results in optimal utilization of the converter circuit of the solar PV. Thus, the dual use of solar PV system brings in additional advantages in terms of enhanced power transmission capability of the grid. To examine the efficacy of the proposed control strategy, the system is modeled and analysed in using MATLAB/Simulink tool and also validated over real-time simulator (OPAL-RT-OP5700).