But, in this paper it is aimed to provide a hybrid approach MSA-GSA by integrating Moth Swarm Algorithm (MSA) and Gravitational Search Algorithm (GSA) for power systems with Wind energy sources. To do this, the WDF (Weibull Distribution Function) is used for demonstrating the alternating ...
This study introduces an enhanced self-adaptive wild goose algorithm (SAWGA) for solving economical-environmental-technical optimal power flow (OPF) problems in traditional and modern energy systems. Leveraging adaptive search strategies and robust diversity capabilities, SAWGA distinguishes itself from clas...
Mohamed A-AA, Mohamed YS, El-Gaafary AAM, Hemeida AM (2017) Optimal power flow using moth swarm algorithm. Electr Power Syst Res 142:190–206. https://doi.org/10.1016/j.epsr.2016.09.025 Article MATH Google Scholar Duong TL, Nguyen NA, Nguyen TT (2020) A newly hybrid method based ...
(LEO). Section "The proposed mAHA algorithm" provides the mathematical model of the proposed mAHA algorithm. Section "Application of mAHA: optimal power flow and generation capacity" introduces the OPF mathematical formulation model. Section "Evaluated results and discussion" discusses the design ...
The increasing demand for electricity presents substantial challenges in power system planning, particularly optimizing the Optimal Power Flow (OPF) problem. The OPF problem entails establishing the best settings for control variables in a power system t
Optimal power flow using moth swarm algorithm Electr Power Syst Res, 142 (2017), pp. 190-206 View PDFView articleView in ScopusGoogle Scholar [46] Ashraf M. Hemeida, Radwa Mansour, M.E. Hussein Multilevel thresholding for image segmentation using an improved electromagnetism optimization algorith...
using a precise decay factor. This mechanism improves the algorithm's global search capability and enhances population diversity, thereby effectively promoting the exploration and discovery of solutions. Secondly, we employ the Nelder-Mead simplex (NMs) mechanism to concentrate the algorithm's exploitation...
swarm moth–flame optimizerThis paper proposes a novel swarm moth–flame optimizer (SMFO) to obtain the optimal parameters of four interacting proportional–integral (PI) loops of a doubly fed induction generator (DFIG)-based wind turbine, so that maximum power point tracking (MPPT) may be ...
Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques 2018, Engineering Applications of Artificial Intelligence Citation Excerpt : Mohamed et al. (2017) applied moth swarm algorithm (MSA) on numerous objectives of OPF for various bus syst...
Optimal Power Flow (OPF) problem is an important operational problem in power systems with a goal of optimizing one or more chosen objectives through adjusting certain control parameters. The most valuable player algorithm (MVPA) is a population based approach, inspired from the behaviour of players...