Applications of genetic algorithm and its variants in rail vehicle systems: A bibliometric analysis and comprehensive review
Railway systems are time-varying and complex systems with nonlinear behaviors that
require effective optimization techniques to achieve optimal performance. Evolutionary …
require effective optimization techniques to achieve optimal performance. Evolutionary …
Exploring the Potential of Microgrids in the Effective Utilisation of Renewable Energy: A Comprehensive Analysis of Evolving Themes and Future Priorities Using Main …
VR Rajendran Pillai, R Rajasekharan Nair Valsala… - Designs, 2023 - mdpi.com
Microgrids are energy systems that can operate independently or in conjunction with the
main electricity grid. Their purpose is to link different energy sources, enhance customer …
main electricity grid. Their purpose is to link different energy sources, enhance customer …
[HTML][HTML] Adaptive optimal energy management in multi-distributed energy resources by using improved slime mould algorithm with considering demand side …
S Behera, NBD Choudhury - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
In this article, a stochastic programming model is developed to solve a multi-renewable
sources-based energy management with the help of a multi-objective improved slime mould …
sources-based energy management with the help of a multi-objective improved slime mould …
A mixed-integer programming approach for unit commitment in micro-grid with incentive-based demand response and battery energy storage system
In the context of the increasing penetration of intermittent renewable energy resources
(RES), one of the significant challenges facing traditional bulk power systems and …
(RES), one of the significant challenges facing traditional bulk power systems and …
An integrated approach for cost-and emission optimal planning of coastal microgrid with demand-side management
In the realm of sustainable power systems, the pivotal role of demand-side management
(DSM) in Microgrids (MGs) design and planning is increasingly recognized. This study …
(DSM) in Microgrids (MGs) design and planning is increasingly recognized. This study …
Optimized maximum power point tracking for PV fed hybrid DC-DC converter-based BLDC motor driven electric vehicles
Bridging Photovoltaic (PV) energy generation with Electric Vehicle (EV) technology is an
essential development in the modern quest for energy sustainability and advanced …
essential development in the modern quest for energy sustainability and advanced …
Enhanced demand side management for solar‐based isolated microgrid system: Load prioritisation and energy optimisation
A novel control mechanism is presented for rural microgrids, standing out in the current
literature with its advanced approach to load prioritisation and energy allocation. The …
literature with its advanced approach to load prioritisation and energy allocation. The …
Optimal planning of residential microgrids based on multiple demand response programs using ABC algorithm
The smart grid has revolutionized the conventional electricity grid with the proposition of
demand-side management (DSM). A DSM program enables the user to schedule its energy …
demand-side management (DSM). A DSM program enables the user to schedule its energy …
Reconfiguration and displacement of DG and EVs in distribution networks using a hybrid GA–SFLA multi-objective optimization algorithm
A combined algorithm for reconfiguring and placement of energy storage systems, electric
vehicles, and distributed generation (DG) in a distribution network is presented in this paper …
vehicles, and distributed generation (DG) in a distribution network is presented in this paper …
CHP-based economic emission dispatch of microgrid using Harris Hawks optimization
In this paper, the economically self-sufficient microgrid is planned to provide electric power
and heat demand. The combined heat and power-based microgrid needs strategic …
and heat demand. The combined heat and power-based microgrid needs strategic …