Enhancement of Electric Power Quality using UPQC with Adaptive Neural Network Model Predictive Control
Author:
Affiliation:
1. Vishnu Institute of Technology,Electrical and Electronics Engineering,Bhimavaram,Andhra Pradesh,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9751779/9751722/09751866.pdf?arnumber=9751866
Reference16 articles.
1. Hybrid Renewable Energy Fed Battery Electric Vehicle Charging Station
2. Mitigation of Uncertainties in Wind-Powered Renewable Systems for Environmental Assets
3. Power Quality Profile Enhancement of Utility Connected Microgrid System Using ANFIS-UPQC
4. Microgrid dynamic responses enhancement using artificial neural network-genetic algorithm for photovoltaic system and fuzzy controller for high wind speeds
5. Realization of double band hysteresis current controller for single phase grid connected pulse width modulated voltage source inverter
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1. Advancing microgrid power quality: integration of GRU-based control in PV-UPQC systems;Electrical Engineering;2024-06-12
2. Exploring Machine Learning Models for Solar Energy Output Forecasting;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
3. Advanced Control Strategies for the Grid Integration of Wind Energy System Employed with Battery Units;2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS);2022-12-08
4. Implementation of ANN Controller Based UPQC Integrated with Microgrid;Mathematics;2022-06-09
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