An elitist multi-objective particle swarm optimization algorithm for sustainable dynamic economic emission dispatch integrating wind farms

ME Alshammari, MAM Ramli, IM Mehedi - Sustainability, 2020 - mdpi.com
In recent years, wind energy has been widely used as an alternative energy source as it is a
clean energy with a low running cost. However, the high penetration of wind power (WP) in …

Forecast error sensitivity analysis for bidding in electricity markets with a hybrid renewable plant using a battery energy storage system

J Martinez-Rico, E Zulueta, U Fernandez-Gamiz… - Sustainability, 2020 - mdpi.com
Deep integration of renewable energies into the electricity grid is restricted by the problems
related to their intermittent and uncertain nature. These problems affect both system …

[HTML][HTML] Reconstruction of internal heat source in biological tissue using parallel particle swarm optimization

F Ye, D Shi, C Xu, K Li, M Lin, G Shi - International Journal of Thermal …, 2024 - Elsevier
With the rapid development of engineering thermophysics, researches on human biological
heat transfer phenomena has gradually shifted from qualitative to quantitative. The heat …

[PDF][PDF] Optimal power generation for wind-hydro-thermal system using meta-heuristic algorithms

TT Nguyen, P Van-Duc, HD Bach, TM Phan… - International Journal of …, 2020 - core.ac.uk
In this paper, cuckoo search algorithm (CSA) is suggested for determining optimal operation
parameters of the combined wind turbine and hydrothermal system (CWHTS) in order to …

[PDF][PDF] Artificial Gorilla Troop Optimization for Optimization Operation of a Complicated Hydrothermal System

N Van Yen, TT Hieu, N Van Thanh - academia.edu
This study implements a novel meta-heuristic method called artificial gorilla troop
optimization (AGTO) to handle the short-term fixed-head hydrothermal scheduling problem …