A Review on Optimization Techniques for Power Quality Improvement using DSTATCOM Neural Network Approach

As demand for electricity has risen exponentially, power production and transmission are affected by scarce energy, environmental constraints and other losses. Soft computing methods to fix the sag, swell and disruption of the supply voltage in the distributed device. At present, a broad variety of highly versatile controls that leverage on newly available power electronics components are evolving for custom power applications. Control electronic equipment intended to improve the stability and efficiency of electricity flows in low voltage distribution networks. The control algorithm is used to derive the fundamental weighted value of the active and reactive power components. Using a digital signal processor, DSTATCOM is built and its output as a DSTATCOM is found to be satisfactory for different types of loads. Amit Radhakrishna Parhad | Pramod Kumar Rathore "A Review on Optimization Techniques for Power Quality Improvement using DSTATCOM (Neural Network Approach)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42403.pdf Paper URL: https://www.ijtsrd.comengineering/electrical-engineering/42403/a-review-on-optimization-techniques-for-power-quality-improvement-using-dstatcom-neural-network-approach/amit-radhakrishna-parhad