Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Optimal day-ahead active and reactive power management for microgrids with high penetration of renewables
In recent years, efforts have been made to increase the proportion of electricity demand met
by Renewable Energy Sources (RESs). Distributed Energy Resources (DERs) play a crucial …
by Renewable Energy Sources (RESs). Distributed Energy Resources (DERs) play a crucial …
[HTML][HTML] Energy management and power quality improvement of microgrid system through modified water wave optimization
A comparative study of energy management strategies and PQ improvement schemes for a
Fuel Cell, Battery, and SuperCapacitor integrated Microgrid system has been projected …
Fuel Cell, Battery, and SuperCapacitor integrated Microgrid system has been projected …
A leader supply-demand-based optimization for large scale optimal power flow problem considering renewable energy generations
The supply-demand-based optimization (SDO) is among the recent stochastic approaches
that have proven its capability in solving challenging engineering tasks. Owing to the non …
that have proven its capability in solving challenging engineering tasks. Owing to the non …
A new Internet of Things based optimization scheme of residential demand side management system
The steady increase in the energy demand and the growing carbon footprint has forced
electricity‐based utilities to shift from their use of non‐renewable energy sources to …
electricity‐based utilities to shift from their use of non‐renewable energy sources to …
Monte Carlo simulation and a clustering technique for solving the probabilistic optimal power flow problem for hybrid renewable energy systems
This paper proposes a new, metaheuristic optimization technique, Artificial Gorilla Troops
Optimization (GTO), for a hybrid power system with photovoltaic (PV) and wind energy (WE) …
Optimization (GTO), for a hybrid power system with photovoltaic (PV) and wind energy (WE) …
[HTML][HTML] A cloud-fog computing framework for real-time energy management in multi-microgrid system utilizing deep reinforcement learning
Uncertainties in a microgrid (MG) result in challenges in reaching the optimal production-
consumption balance via the energy management system (EMS). Therefore, multi-MG …
consumption balance via the energy management system (EMS). Therefore, multi-MG …
[HTML][HTML] Enhancing optimization accuracy in power systems: Investigating correlation effects on objective function values
AK ALAhmad, R Verayiah, A Ramasamy… - Results in Engineering, 2024 - Elsevier
This study addresses the critical yet often overlooked aspect of incorporating correlations
among input stochastic variables in power system planning and scheduling optimization …
among input stochastic variables in power system planning and scheduling optimization …
Optimal power flow for bipolar DC microgrids
This paper proposes an optimal power flow (OPF) formulation for bipolar DC microgrids. The
bipolar DC microgrid can integrate distributed generations (DGs) and supply power to end …
bipolar DC microgrid can integrate distributed generations (DGs) and supply power to end …
[HTML][HTML] Probabilistic optimal power flow solution using a novel hybrid metaheuristic and machine learning algorithm
This paper proposes a novel hybrid optimization technique based on a machine learning
(ML) approach and transient search optimization (TSO) to solve the optimal power flow …
(ML) approach and transient search optimization (TSO) to solve the optimal power flow …
Flexible and sustainable scheduling of electric power grids: A dynamic line and transformer rating based approach under uncertainty condition
Integration of renewable and sustainable energies into the electric power grids has affected
planning and operation problems of the power system. Voltage and congestion as well as …
planning and operation problems of the power system. Voltage and congestion as well as …