Solution of an economic dispatch problem through particle swarm optimization: a detailed survey-part I

G Abbas, J Gu, U Farooq, MU Asad… - IEEE Access, 2017 - ieeexplore.ieee.org
A number of modern metaheuristic optimization techniques are being exploited to work out a
single-objective economic dispatch (ED) problem. The dispatch problems even become …

[HTML][HTML] Optimal fuzzy based economic emission dispatch of combined heat and power units using dynamically controlled Whale Optimization Algorithm

VK Jadoun, GR Prashanth, SS Joshi, K Narayanan… - Applied Energy, 2022 - Elsevier
The significance and purpose of this multi-objective Combined Heat and Power Economic
Emission Dispatch (MO-CHPEED) problem aims to determine the optimal generator output …

A new global particle swarm optimization for the economic emission dispatch with or without transmission losses

D Zou, S Li, Z Li, X Kong - Energy Conversion and Management, 2017 - Elsevier
A new global particle swarm optimization (NGPSO) algorithm is proposed to solve the
economic emission dispatch (EED) problems in this paper. NGPSO is different from the …

A novel hybrid model for six main pollutant concentrations forecasting based on improved LSTM neural networks

S Xu, W Li, Y Zhu, A Xu - Scientific Reports, 2022 - nature.com
In recent years, air pollution has become a factor that cannot be ignored, affecting human
lives and health. The distribution of high-density populations and high-intensity development …

Preliminary design and evaluation of large‐diameter superconducting cable toward GW‐class hybrid energy transfer of electricity, liquefied natural gas, and liquefied …

Y Chen, S Jiang, XY Chen, YF Wang… - Energy Science & …, 2020 - Wiley Online Library
Considering the temperature rises caused by the friction loss and heat leakage, long‐
distance and high‐capacity transportation of liquefied natural gas (LNG) is currently not very …

Optimal task assignment for UAV swarm operations in hostile environments

J Kim, H Oh, B Yu, S Kim - International Journal of Aeronautical and Space …, 2021 - Springer
This paper proposes the engagement model and optimal task assignment algorithm for
small-UAV swarm operations in hostile maritime environments. To alleviate the complexity of …

Optimized operation of hybrid system integrated with MHP, PV and PHS considering generation/load similarity

T Li, W Hu, X Xu, Q Huang, G Chen, X Han… - IEEE Access, 2019 - ieeexplore.ieee.org
Renewable energy is widely used as a clean energy in the world, yet the intermittent of the
power generation from renewable energy power plants, resulting in poor quality of power …

Economic load dispatch using adaptive social acceleration constant based particle swarm optimization

NK Jain, U Nangia, J Jain - Journal of The Institution of Engineers (India) …, 2018 - Springer
In this paper, an Adaptive Social Acceleration Constant based Particle Swarm Optimization
(ASACPSO) has been developed which uses the best value of social acceleration constant …

Day-ahead combined economic and emission dispatch with spinning reserve consideration using moth swarm algorithm for a data centre load

O Ajayi, R Heymann - Heliyon, 2021 - cell.com
Dynamic combined economic and emission dispatch is an important task in the power
system that examines the optimal allocation of power generation resources that yield the …

Recurrent neural network for nonconvex economic emission dispatch

J Wang, X He, J Huang, G Chen - Journal of Modern Power …, 2020 - ieeexplore.ieee.org
In this paper, an economic emission dispatch (EED) model is developed to reduce fuel cost
and environmental pollution emissions. Considering the development of new energy …