In this paper, a gradient-free optimization technique, namely particle swarm optimization
(PSO) algorithm, is utilized to identify specific parameters of the electrochemical model of a …

The problem of economic dispatch is one of the significant topics in modern power system
control, monitoring, and operation studies due to economic and environmental issues. The …

This paper addresses an application of modified NSGA-II (MNSGA-II) by incorporating
controlled elitism and dynamic crowding distance (DCD) strategies in NSGA-II to …

This paper suggests squirrel search algorithm (SSA) for solving intricate multi-region
combined heat and power economic dispatch problem with integration of renewable energy …

This paper presents artificial bee colony optimization for solving multi-area economic
dispatch (MAED) problem with tie line constraints considering transmission losses, multiple …

This paper proposes a new, efficient and powerful heuristic-hybrid algorithm using hybrid
DE (differential evolution) and PSO (particle swarm optimization) techniques DEPSO …

This paper presents an emended salp swarm algorithm (ESSA) which is basically the
extension of the basic salp swarm algorithm (SSA) to solve multiobjective electric power …

The objective is to study multi-county combined heat and power dynamic economic
emission dispatch in presence of renewable energy resources and electric vehicle parking …

This paper presents teaching–learning-based optimization algorithm for solving MAED
(multi-area economic dispatch) problem with tie line constraints considering transmission …

Economic dispatch seeks for the most economical combination of generation units in power
system while satisfying bunch of physical and operational constraints. Finding the most …