Advances in Consumer Research
Issue 1 : 423-433
Original Article
Evaluation of a 3-Phase PV and Artificial Neural Network Integrated UPQC for Load Unbalancing Conditions
 ,
 ,
1
PG Research Scholar,
2
Asst. Professor, Department of EEE, Sree Vahini Institute of Science and Technology (Autonomous), Tiruvuru.
3
Assoc.Professor, Department of Electrical & electronics Engineering, Sree Vahini Institute of Science and Technology (Autonomous). Tiruvuru.
Abstract

Power Quality (PQ) issues are now a crucial topic of conversation and investigation for customers and suppliers are aware of the consequences of these issues. According to the responsibilities, the customized power appliances are used to reduce many of the PQ difficulties. In order to deliver doubled support to meet the challenges of clean energy generation and to improve the power grid PQ in the instance of distributed generation, the proposed study investigation concepts a UPQC along with an ANN control system which combines a solar array. It also uses a custom power device, such as a concurrently connected shunt and series converter, to shield delicate loads from penalties or disruptions on the grid and at the source. A load unbalancing condition, which can result from the abrupt switching of a huge load, is evaluated and examined for in the system. In MATLAB, the system activity can be assessed in situations containing load imbalance.

Keywords
Recommended Articles
Original Article
Navigating Marketing Challenges and Policy Support: A Study of Tech Start-ups in Odisha
Original Article
Assessing the Sustainable Financial Performance of Regional Rural Banks: A Quantitative Analysis of Digital Innovation
...
Original Article
Impact of Technological Interventions on Efficiency, Transparency, and Sustainability of Minor Forest Produce Supply Chain Networks in Chhattisgarh
Original Article
Rethinking The Classroom In The Age Of Artificial Intelligence: Why Analytical And Application-Based Learning Is The Sustainable Path Forward An Empirical Study Of Faculty Perceptions And Student Learning Behaviors
Loading Image...
Volume 2, Issue 1
Citations
676 Views
279 Downloads
Share this article
© Copyright Advances in Consumer Research