Large-scale multi-area economic/emission dispatch based on a new symbiotic organisms search algorithm

DC Secui - Energy Conversion and Management, 2017 - Elsevier
The objective of the multi-area economic/emission dispatch problem is to establish an
optimum programme (online) for the thermal generating units which operate within different …

A hybrid chaotic-based multiobjective differential evolution technique for economic emission dispatch problem

A Almalaq, T Guesmi, S Albadran - Energies, 2023 - mdpi.com
The economic emission dispatch problem (EEDP) is a nonconvex and nonsmooth
multiobjective optimization problem in the power system field. Generally, fuel cost and total …

A hybrid moth flame optimization and variable neighbourhood search technique for optimal design of IIR filters

T Mittal - Neural Computing and Applications, 2022 - Springer
In this manuscript, a hybrid optimization technique, which integrates moth flame optimization
(MFO) technique and variable neighbourhood search (VNS) heuristic, has been proposed to …

Multiobjective thermal power load dispatch using adaptive predator–prey optimization

NJ Singh, JS Dhillon, DP Kothari - Applied Soft Computing, 2018 - Elsevier
This paper presents an adaptive predator–prey optimization (APPO) to solve multiobjective
thermal power dispatch problem considering objectives of operating cost and pollutant …

A Two-Stage strategy to handle equality constraints in ABC-based power economic dispatch problems

X Chen, P Wang, Q Wang, Y Dong - Soft Computing, 2019 - Springer
Power economic dispatch (ED) plays an important role in energy saving in power system
operations. The penalty function method is widely used to handle equality constraints …

Artificial bee colony with predator effect algorithm for proportional integral derivative controller tuning

NJ Singh, V Chopra, S Pandey - Journal of Vibration and …, 2024 - journals.sagepub.com
This paper proposes a novel artificial bee colony with predation effect (ABCPE) algorithm for
tuning a proportional integral derivative (PID) controller. The mathematical model of ABCPE …

Optimal scheduling of power systems considering carbon markets: Based on blockchain theory and multi-objective particle swarm optimization algorithm

D Wang, F Lan, H Shen, M Liu, Z Sun - Frontiers in Energy Research, 2022 - frontiersin.org
In the context of double carbon, it is an inevitable requirement for the low-carbon power
industry to take economic efficiency and low carbon into consideration. This article …

Non-interactive approach to solve multi-objective thermal power dispatch problem using composite search algorithm

NJ Singh, JS Dhillon, DP Kothari - Applied Soft Computing, 2018 - Elsevier
This paper deals with a non-interactive approach to solve multi-objective thermal power load
dispatch (MTPLD), where either decision maker is not involved or preference information is …

Parameters identification of the fractional-order permanent magnet synchronous motor models using chaotic ensemble particle swarm optimizer

D Yousri, MB Eteiba, AF Zobaa, D Allam - Applied Sciences, 2021 - mdpi.com
In this paper, novel variants for the Ensemble Particle Swarm Optimizer (EPSO) are
proposed where ten chaos maps are merged to enhance the EPSO's performance by …

The distributed many-objective economic/emission load dispatch benchmark problem

OT Altinoz - Swarm and Evolutionary Computation, 2019 - Elsevier
This paper considers a new kind of economic/emission load dispatch-based problem
framework. In the proposed framework, non-synchronous and distant generators are …