Comprehensive review on electricity market price and load forecasting based on wind energy
H Acaroğlu, FP García Márquez - Energies, 2021 - mdpi.com
Forecasting the electricity price and load has been a critical area of concern for researchers
over the last two decades. There has been a significant economic impact on producers and …
over the last two decades. There has been a significant economic impact on producers and …
Fractional order control strategy for superconducting magnetic energy storage to take part effectually in automatic generation control issue of a realistic restructured …
J Morsali - Journal of Energy Storage, 2022 - Elsevier
Keeping frequency regulation (FR) while fulfilling bilateral contracts and pool-co
transactions simultaneously in a competitive environment become a challenging task for …
transactions simultaneously in a competitive environment become a challenging task for …
Robust model predictive control paradigm for automatic voltage regulators against uncertainty based on optimization algorithms
This paper introduces a robust model predictive controller (MPC) to operate an automatic
voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the …
voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the …
Power quality control based on voltage sag/swell, unbalancing, frequency, THD and power factor using artificial neural network in PV integrated AC microgrid
J Kaushal, P Basak - Sustainable Energy, Grids and Networks, 2020 - Elsevier
In the present scenario of microgrid system, conversion of electrical energy has initiated a
challenge to maintain the power quality within a satisfactory range. It can be influenced by …
challenge to maintain the power quality within a satisfactory range. It can be influenced by …
Energy management of controllable loads in multi-area power systems with wind power penetration based on new supervisor fuzzy nonlinear sliding mode control
The distributed controllable loads (DCLs) are employed to achieve energy management for
hybrid renewable energy-based multi-area power systems (HREPSs). The DCLs are …
hybrid renewable energy-based multi-area power systems (HREPSs). The DCLs are …
Model predictive control based autonomous DC microgrid integrated with solar photovoltaic system and composite energy storage
In this paper, a model predictive controller (MPC) is developed along with a simplified power
management algorithm (PMA) for the autonomous DC microgrid. The autonomous DC …
management algorithm (PMA) for the autonomous DC microgrid. The autonomous DC …
Multi-verse optimizer for model predictive load frequency control of hybrid multi-interconnected plants comprising renewable energy
This paper presents a recent metaheuristic optimization approach of multi-verse optimizer
(MVO) to design load frequency control (LFC) based model predictive control (MPC) …
(MVO) to design load frequency control (LFC) based model predictive control (MPC) …
Improvement of trajectory tracking by robot manipulator based on a new co-operative optimization algorithm
The tracking of a predefined trajectory with less error, system-settling time, system, and
overshoot is the main challenge with the robot-manipulator controller. In this regard, this …
overshoot is the main challenge with the robot-manipulator controller. In this regard, this …
Power generation control of renewable energy based hybrid deregulated power system
This work presents the power generation control of a two-area, hybrid, deregulated power
system integrated with renewable energy sources (RES). The incorporation of appropriate …
system integrated with renewable energy sources (RES). The incorporation of appropriate …
Optimal model predictive control for LFC of multi-interconnected plants comprising renewable energy sources based on recent sooty terns approach
In this paper, an optimal model predictive control (MPC) is tuned using recent optimizer
named sooty terns optimization algorithm (STOA). The proposed control is employed to …
named sooty terns optimization algorithm (STOA). The proposed control is employed to …