Orderly charging strategy of electric vehicle based on improved PSO algorithm
W Du, J Ma, W Yin - Energy, 2023 - Elsevier
With the increasing penetration of electric vehicles (EVs), the harmful impact caused by EV's
disorderly charging becomes larger. Aiming for mitigating the impact of disorderly charging …
disorderly charging becomes larger. Aiming for mitigating the impact of disorderly charging …
Cooperative optimization strategy for large-scale electric vehicle charging and discharging
WJ Yin, X Qin - Energy, 2022 - Elsevier
In order to match the basic load of the power grid and the charging demand of electric
vehicles, this paper fully considers the high pollution and non-renewability of coal-fired …
vehicles, this paper fully considers the high pollution and non-renewability of coal-fired …
Scheduling strategy of electric vehicle charging considering different requirements of grid and users
WJ Yin, ZF Ming, T Wen - Energy, 2021 - Elsevier
With the increasing penetration of electric vehicles (EVs) that has enormous scheduling
potentials, if it can fully tap its dispatching potential, it can help the power grid improve …
potentials, if it can fully tap its dispatching potential, it can help the power grid improve …
Electric vehicle charging and discharging scheduling strategy based on local search and competitive learning particle swarm optimization algorithm
WJ Yin, ZF Ming - Journal of Energy Storage, 2021 - Elsevier
It is great significance for environmental protection, energy conservation and emission
reduction to replace fuel vehicles with EVs (electric vehicles). However, as a kind of random …
reduction to replace fuel vehicles with EVs (electric vehicles). However, as a kind of random …
Single and multi-objective optimal power flow using a new differential-based harmony search algorithm
M Abbasi, E Abbasi, B Mohammadi-Ivatloo - Journal of Ambient …, 2021 - Springer
This article proposes a new differential evolutionary-based approach to solve the optimal
power flow (OPF) problem in power systems. The proposed approach employs a differential …
power flow (OPF) problem in power systems. The proposed approach employs a differential …
[HTML][HTML] Advancements in Optimization: Critical Analysis of Evolutionary, Swarm, and Behavior-Based Algorithms
The research work on optimization has witnessed significant growth in the past few years,
particularly within multi-and single-objective optimization algorithm areas. This study …
particularly within multi-and single-objective optimization algorithm areas. This study …
Mitigation of power quality issues in smart grid using levy flight based moth flame optimization algorithm
KR Suja - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Now a days, energy demand have been increasing due to industrialization factors in the
world. The energy demand and environmental problems also increased such as global …
world. The energy demand and environmental problems also increased such as global …
A novel 3D train–bridge interaction model for monorail system considering nonlinear wheel-track slipping behavior
Variable speed operation of the train cause easily the wheel-track slipping phenomenon,
inducing strong nonlinear dynamic behavior of the suspended monorail train and bridge …
inducing strong nonlinear dynamic behavior of the suspended monorail train and bridge …
An improved multicriteria optimization method for solving the electric vehicles planning issue in smart grids via green energy sources
O Abedinia, M Lu, M Bagheri - IEEE Access, 2019 - ieeexplore.ieee.org
In the given research, a new multicriterion (multiobjective) optimization algorithm has been
considered to solve the problem of electric vehicles (EV) scheduling in a smart network in …
considered to solve the problem of electric vehicles (EV) scheduling in a smart network in …
Machine learning based metaheuristic hybrids for S-box optimization
A Bolufé-Röhler, D Tamayo-Vera - Journal of Ambient Intelligence and …, 2020 - Springer
Recent research has consistently shown that the concurrence between exploration and
exploitation can significantly limit the effectiveness of exploration on heuristic search. This …
exploitation can significantly limit the effectiveness of exploration on heuristic search. This …