Mitigation Grid Current Harmonics ABC- is a M.Tech project topic for Electrical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Mitigation Grid Current Harmonics ABC- Project Details
| Abstract |
The proliferation of non-linear loads in modern electrical distribution systems introduces significant current and voltage harmonics, degrading overall power quality and risking damage to grid infrastructure. To address this, the research investigates a Shunt Active Power Filter (SAPF) controlled via an Artificial Bee Colony Optimized Artificial Neural Network (ABC-ANN). The methodology begins by utilizing Particle Swarm Optimization (PSO) to determine the optimal proportional-integral (PI) controller gains (Kp and Ki). The input and target data generated from this PSO-tuned PI controller are subsequently used to train the Artificial Neural Network (ANN), which is further optimized using the Artificial Bee Colony (ABC) algorithm to enhance dynamic response and harmonic compensation accuracy. This
hybrid intelligent control scheme aims to minimize grid current Total Harmonic Distortion (THD) under varying load conditions. While the paper outlines the optimization framework and controller training sequence, detailed experimental validation on physical hardware remains a limitation, making it highly suitable for advanced simulation-based M.Tech research and modeling.
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| Reference Paper |
Mitigation of Grid Current Harmonics by ABC- ANN based Shunt Active Power Filter |
| Domain |
Power Electronics and Power Systems |
| Sub-Domain |
Power Systems / Power Electronics / Active Power Filters |
| PDF Download |
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| Get Help |
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