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 …

Particle swarm optimization variants for solving geotechnical problems: review and comparative analysis

AR Kashani, R Chiong, S Mirjalili… - Archives of Computational …, 2021 - Springer
Optimization techniques have drawn much attention for solving geotechnical engineering
problems in recent years. Particle swarm optimization (PSO) is one of the most widely used …

A survey on demand response in smart grids: Mathematical models and approaches

R Deng, Z Yang, MY Chow… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The smart grid is widely considered to be the informationization of the power grid. As an
essential characteristic of the smart grid, demand response can reschedule the users' …

Double-mode energy management for multi-energy system via distributed dynamic event-triggered Newton-Raphson algorithm

Y Li, DW Gao, W Gao, H Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The islanded and network-connected modes are expected to be modeled into a unified form
as well as in a distributed fashion for multi-energy system. In this way, the adaptability and …

Economic dispatch using hybrid grey wolf optimizer

T Jayabarathi, T Raghunathan, BR Adarsh… - Energy, 2016 - Elsevier
This paper presents the application of one of the latest swarm intelligence algorithms, the
grey wolf optimizer, for solving economic dispatch problems that are nonlinear, non-convex …

Economic dispatch using chaotic bat algorithm

BR Adarsh, T Raghunathan, T Jayabarathi, XS Yang - Energy, 2016 - Elsevier
This paper presents the application of a new metaheuristic optimization algorithm, the
chaotic bat algorithm for solving the economic dispatch problem involving a number of …

A modified crow search algorithm (MCSA) for solving economic load dispatch problem

F Mohammadi, H Abdi - Applied Soft Computing, 2018 - Elsevier
This paper presents a novel evolutionary optimization algorithm namely the modified crow
search algorithm (MCSA) for solving the non-convex economic load dispatch (ELD) problem …

Modified cuckoo search algorithm to solve economic power dispatch optimization problems

J Zhao, S Liu, M Zhou, X Guo… - IEEE/CAA journal of …, 2018 - ieeexplore.ieee.org
A modified cuckoo search (CS) algorithm is proposed to solve economic dispatch (ED)
problems that have non-convex, non-continuous or non-linear solution spaces considering …

A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)

M Ghasemi, IF Davoudkhani, E Akbari… - … Applications of Artificial …, 2020 - Elsevier
In this study we present a new and effective grouping optimization algorithm (namely, the
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …

Fully distributed hierarchical control of parallel grid-supporting inverters in islanded AC microgrids

Z Li, C Zang, P Zeng, H Yu, S Li - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, a fully distributed hierarchical control strategy is proposed for operating
networked gridsupporting inverters (GSIs) in islanded ac microgrids (MGs). The primary …