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Greenhouse gases emission reduction for electric power generation sector by efficient dispatching of thermal plants integrated with renewable systems
This research aims to contribute in develo** a mathematical model for the composite
probabilistic energy emissions dispatch (CPEED) with renewable energy systems, and it …
probabilistic energy emissions dispatch (CPEED) with renewable energy systems, and it …
A dynamic optimal scheduling strategy for multi-charging scenarios of plug-in-electric vehicles over a smart grid
Green transportation has become our top priority due to the depletion of the earth's natural
resources and rising pollutant emission levels. Plug-in electric vehicles (PEVs) are seen as …
resources and rising pollutant emission levels. Plug-in electric vehicles (PEVs) are seen as …
Boosting kernel search optimizer with slime mould foraging behavior for combined economic emission dispatch problems
R Dong, L Sun, L Ma, AA Heidari, X Zhou… - Journal of Bionic …, 2023 - Springer
Reducing pollutant emissions from electricity production in the power system positively
impacts the control of greenhouse gas emissions. Boosting kernel search optimizer (BKSO) …
impacts the control of greenhouse gas emissions. Boosting kernel search optimizer (BKSO) …
An economic/emission dispatch based on a new multi-objective artificial bee colony optimization algorithm and NSGA-II
The conventional energy resources have limited reserves and their utilization is adversely
affecting the environment. Hence, it is necessary to generate electricity with the least cost …
affecting the environment. Hence, it is necessary to generate electricity with the least cost …
Multi-objective membrane search algorithm: A new solution for economic emission dispatch
W Lai, X Zheng, Q Song, F Hu, Q Tao, H Chen - Applied Energy, 2022 - Elsevier
Many countries or regions are committed to reducing emissions in response to global
climate issues. As an industry with a large proportion of emissions, power generation …
climate issues. As an industry with a large proportion of emissions, power generation …
Probability distribution arithmetic optimization algorithm based on variable order penalty functions to solve combined economic emission dispatch problem
WK Hao, JS Wang, XD Li, HM Song, YY Bao - Applied Energy, 2022 - Elsevier
The optimization objective of combined economic emission dispatch (CEED) problem is to
minimize the total cost of power generation and the emission of harmful gases under the …
minimize the total cost of power generation and the emission of harmful gases under the …
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 …
global, economic emission dispatch (EED) problem has become one of the most important …
SPSO based optimal integration of DGs in local distribution systems under extreme load growth for smart cities
Renewable energy-based distributed generators (DGs) are gaining more penetration in
modern grids to meet the growing demand for electrical energy. The anticipated techno …
modern grids to meet the growing demand for electrical energy. The anticipated techno …
Day-ahead DSM-integrated hybrid-power-management-incorporated CEED of solar thermal/wind/wave/BESS system using HFPSO
This paper presents a day-ahead demand-side management (DSM)-integrated hybrid
power management algorithm (PMA) with an objective of combined economic and emission …
power management algorithm (PMA) with an objective of combined economic and emission …
A modified artificial bee colony algorithm based on a non-dominated sorting genetic approach for combined economic-emission load dispatch problem
The multi-objective optimization algorithms (MOO) are used to obtain the best compromising
solutions when two or more objective functions need to be optimized simultaneously. The …
solutions when two or more objective functions need to be optimized simultaneously. The …