A review of the latest trends in technical and economic aspects of EV charging management

P Alaee, J Bems, A Anvari-Moghaddam - Energies, 2023 - mdpi.com
The transition from internal combustion engines to electric vehicles (EVs) has received
significant attention and investment due to its potential in reducing greenhouse gas …

Dynamic economic emission dispatch considering renewable energy generation: A novel multi-objective optimization approach

ZF Liu, LL Li, YW Liu, JQ Liu, HY Li, Q Shen - Energy, 2021 - Elsevier
This study contributes to construct the mathematical model of hybrid dynamic economic
emission dispatch (HDEED) considering renewable energy generation and propose a novel …

[HTML][HTML] Multi-objective whale optimization approach for cost and emissions scheduling of thermal plants in energy hubs

I Ahmed, A Basit, M Rehan, KS Hong - Energy Reports, 2022 - Elsevier
To a great extent, most of the power generation systems are dependent on fossil fuels, and
their rapid usage is not only declining the reserves but also producing the greenhouse …

A novel hybrid soft computing optimization framework for dynamic economic dispatch problem of complex non-convex contiguous constrained machines

I Ahmed, UEH Alvi, A Basit, T Khursheed, A Alvi… - PloS one, 2022 - journals.plos.org
The reformations of the electrical power sector have resulted in very dynamic and
competitive market that has changed many elements of the power industry. Excessive …

An improved differential evolution using self-adaptable cosine similarity for economic emission dispatch

Q Zhang, D Zou, N Duan - Energy, 2023 - Elsevier
As increasing demand of electric energy and deterioration of environment pollution in
global, economic emission dispatch (EED) problem has become one of the most important …

Energy cost optimization of hybrid renewables based V2G microgrid considering multi objective function by using artificial bee colony optimization

HUR Habib, U Subramaniam, A Waqar… - IEEE …, 2020 - ieeexplore.ieee.org
The worldwide demand for reduction of CO2 pollution, with more penetration of renewable
energy sources and an increased number of electric vehicles (EVs), demonstrates the …

Solving dynamic economic and emission dispatch in power system integrated electric vehicle and wind turbine using multi-objective virus colony search algorithm

Y Zou, J Zhao, D Ding, F Miao, B Sobhani - Sustainable Cities and Society, 2021 - Elsevier
Climate change and development of today's power grids have led to unprecedented
changes in the old power grid in terms of fossil fuel consumption level and environmental …

Coordinated charge and discharge scheduling of electric vehicles for load curve shaping

NI Nimalsiri, EL Ratnam, DB Smith… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this paper, we propose two decentralized Electric Vehicle (EV) charge scheduling
schemes for shaping the load curve of residential communities connected to the electric grid …

Improved Pelican optimization algorithm for solving load dispatch problems

SD SeyedGarmroudi, G Kayakutlu, MO Kayalica… - Energy, 2024 - Elsevier
Abstract The Pelican Optimization Algorithm (POA) is a newly developed algorithm inspired
by the hunting behavior of pelicans. Despite its fast convergence rate, it suffers from …

Ameliorated artificial hummingbird algorithm for coordinated wind-solar-thermal generation scheduling problem in multiobjective framework

V Kansal, JS Dhillon - Applied Energy, 2022 - Elsevier
This paper proposed an optimization technique, namely ameliorated artificial hummingbird
algorithm (AAHA), that blends artificial hummingbird algorithm (AHA) with simplex search …