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Design and analysis of UPQC in a microgrid using model reference adaptive control ensemble with back-step** controller
In recent years, the power sector has shifted to decentralized power generation, exemplified
by microgrids that combine renewable and traditional power sources. With the introduction …
by microgrids that combine renewable and traditional power sources. With the introduction …
Short‐Term Reactive Power Forecasting Based on Real Power Demand Using Holt‐Winters' Model Ensemble by Global Flower Pollination Algorithm for Microgrid
Load forecasting is an integral part of the energy study unit to schedule the generating unit
by the load demand. Many studies were conducted on load forecasting based on real power …
by the load demand. Many studies were conducted on load forecasting based on real power …
Design and analysis of EV Charging Station using PV Integrated Battery Sytsem
With 21 st century facing major predicament towards global warming and major actions
being taken in this direction to avoid further appalling situations has led OEMs for drastic …
being taken in this direction to avoid further appalling situations has led OEMs for drastic …
Energy Management for a RES-Powered DC Microgrid Under Variable Load
Renewable energy sources have emerged as a viable option to meet the rising energy
demand, slow down climate change, and promote sustainable development. This paper …
demand, slow down climate change, and promote sustainable development. This paper …
[HTML][HTML] Design and analysis of DFIG-STATCOM coordinated P2P grid connected system using RMSprop
This research work establishes a relationship between STATCOM and DFIG wind turbines in
a transmission network for coordinated operation during grid disturbances. A change in wind …
a transmission network for coordinated operation during grid disturbances. A change in wind …
DC-Microgrid Price Prediction using Long Short Term Memory with Double Activation Function
Due to growth in renewable energy sources and distributed generation (DG), the importance
of short term forecasting is increasing day by day and has been a matter of interest in power …
of short term forecasting is increasing day by day and has been a matter of interest in power …
Design and analysis of trans Z-source inverter for electric vehicle applications using neural network-clustering
The presented paper analyzes the detailed design of a trans Z-source inverter (ZSI) with an
input from solar photovoltaic (SPV) system. Increase in SPV uses requires highly efficient …
input from solar photovoltaic (SPV) system. Increase in SPV uses requires highly efficient …
A Comparision Study of Machine Learning Methods for Unit Price Estimation in Smartgrid
Electricity price volatility directly affects the deregulated electricity market where each market
player is trying to sell their power with minimum cost. Hence effective price forecasting plays …
player is trying to sell their power with minimum cost. Hence effective price forecasting plays …
Unsymmetrical Fault Analysis of DFIG Wind form using FO-PI Controller with Online Neural Tuning
Unsymmetrical fault is a general and most type of fault that every power system used to face
in their day-to-day operation. The DFIG based wind form must be equipped with addition …
in their day-to-day operation. The DFIG based wind form must be equipped with addition …
Mho Relay Distance Protection Scheme using DWT Analysis under Symmetrical Fault Condition
The utilization of renewable energy distributed generation has increased significantly in
recent years, particularly with the use of solar and wind power sources that offer a clean and …
recent years, particularly with the use of solar and wind power sources that offer a clean and …