AUTHOR=Pulluri Harish , Nadakuditi Gouthamkumar , Vedik B. , Srikanth Goud B. , Reddy Ch. Rami , Kotb Hossam , AboRas Kareem M. , Emara Ahmed 

TITLE=Krill herd technique for dynamic economic dispatch problems with the integration of wind power generation

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 11 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2023.1339020

DOI=10.3389/fenrg.2023.1339020

ISSN=2296-598X

ABSTRACT=The Krill Herd (KH) approach is proposed in this article for tackling the dynamic economic dispatch (DED) problem with the integration of wind power generation, including constraints such as valve-point loadings and prohibited operating zones (PoZs). The purpose of resolving the DED problem is to determine the optimum feasible combination of power outputs for all allocated generating units within a given period while simultaneously meeting dynamic operational constraints and power demand. Due to the addition of valve points and PoZs in the cost characteristics of the generating unit, the DED issue becomes a highly non-linear and nonconvex optimization issue. When transmission losses are taken into account, the DED problem becomes significantly more complex to solve. KH is a swarm-inspired algorithm based on krill individual herding behaviour. KH employs two global and two local tactics and these work in parallel, making KH a powerful algorithm. The effectiveness of the KH method is investigated and validated through extensive testing on various test systems, including 5, 6, 10, 16 and 30unit test systems. Extensive studies are conducted to evaluate the proposed KH algorithm's efficacy; the present research work compares the suggested approach's convergence properties with the other recently published methods In addition to reduced generation costs compared to other results published in the recent literature, the numerical findings of the KH approach reveal that it has strong convergence qualities.