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Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources
The growing integration of renewable energy sources into grid-connected microgrids has
created new challenges in power generation forecasting and energy management. This …
created new challenges in power generation forecasting and energy management. This …
Advanced efficient energy management strategy based on state machine control for multi-sources PV-PEMFC-batteries system
This article offers a PV-PEMFC-batteries energy management strategy (EMS) that aims to
meet the following goals: keep the DC link steady at the standard value, increase battery …
meet the following goals: keep the DC link steady at the standard value, increase battery …
Fuzzy-based efficient control of DC microgrid configuration for PV-energized EV charging station
DS Abraham, B Chandrasekar, N Rajamanickam… - Energies, 2023 - mdpi.com
Electric vehicles (EVs) are considered as the leading-edge form of mobility. However, the
integration of electric vehicles with charging stations is a contentious issue. Managing the …
integration of electric vehicles with charging stations is a contentious issue. Managing the …
Performance and robustness analysis of V-Tiger PID controller for automatic voltage regulator
This paper presents a comprehensive study on the implementation and analysis of PID
controllers in an automated voltage regulator (AVR) system. A novel tuning technique …
controllers in an automated voltage regulator (AVR) system. A novel tuning technique …
Robust load-frequency control of islanded urban microgrid using 1PD-3DOF-PID controller including mobile EV energy storage
Abstract Electricity generation in Islanded Urban Microgrids (IUMG) now relies heavily on a
diverse range of Renewable Energy Sources (RES). However, the dependable utilization of …
diverse range of Renewable Energy Sources (RES). However, the dependable utilization of …
Multi-objective energy management in a renewable and EV-integrated microgrid using an iterative map-based self-adaptive crystal structure algorithm
A Rajagopalan, K Nagarajan, M Bajaj… - Scientific Reports, 2024 - nature.com
The use of plug-in hybrid electric vehicles (PHEVs) provides a way to address energy and
environmental issues. Integrating a large number of PHEVs with advanced control and …
environmental issues. Integrating a large number of PHEVs with advanced control and …
Dynamic load frequency control in power systems using a hybrid simulated annealing based quadratic interpolation optimizer
Ensuring the stability and reliability of modern power systems is increasingly challenging
due to the growing integration of renewable energy sources and the dynamic nature of load …
due to the growing integration of renewable energy sources and the dynamic nature of load …
Chaotic self-adaptive sine cosine multi-objective optimization algorithm to solve microgrid optimal energy scheduling problems
Researchers are increasingly focusing on renewable energy due to its high reliability,
energy independence, efficiency, and environmental benefits. This paper introduces a novel …
energy independence, efficiency, and environmental benefits. This paper introduces a novel …
Frequency regulation of geothermal power plant-integrated realistic power system with 3DOFPID controller
In this article, a higher-order degree of freedom (DOF) proportional–integral–derivative
(PID)(3DOFPID) controller optimized with the meta-heuristic method of the water cycle …
(PID)(3DOFPID) controller optimized with the meta-heuristic method of the water cycle …
[HTML][HTML] Enhanced wombat optimization algorithm for multi-objective optimal power flow in renewable energy and electric vehicle integrated systems
In this study, the authors propose the Enhanced Wombat Optimization Algorithm (EWOA) as
a solution for the optimal power flow (OPF) issue that occurs in transmission networks. With …
a solution for the optimal power flow (OPF) issue that occurs in transmission networks. With …