AI Based Reference Signal Generation for Renewable Source and Energy Storage Incorporated Multilevel UPQC

MohanBabu Guguloth, Suresh Babu G, Srinivasa Rao Gummadi, Ramya Kambham, NMG Kumar, Ramprasad vangalapudi, B.Pavan Kumar, Vasantha Gowri N, Saroj Pradhan

Abstract


This study examines the photovoltaic (PV), and battery energy storage (BES) associated diode clamped five-level unified power quality conditioner (5L-UPQC) to handle the power quality (PQ) related problems. To eliminate the requirement of the complex transformations like abc, dq0, ?? , the (Artificial neural network) ANN-based control scheme with LMBP training method is adopted for the 5L-UPQC to supply the necessary reference signals for the (Voltage source converters) VSC’s. The hybrid controller combines both ANN and (Sliding mode controller) SMC is adopted for DC link balancing. The prime goal of the developed scheme is to maintain DC link capacitor voltage (DLCV) during load changes and decrease supply current and load voltage Total harmonic distortion (THD). In addition, the source voltage fluctuations like sag, disturbance and swell were eliminated. The suggested method was demonstrated on two cases with several permutations of loads. However, the comparison is carried out with the proportional integral controller (PIC), SMC and ANN to reveal the working of the suggested technique. The developed model is executed on the MATLAB/ Simulink platform.


Keywords


Renewable Energy, solar, Electrical engineering

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DOI (PDF): https://doi.org/10.20508/ijrer.v15i2.14677.g9062

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