Optimization of unit commitment and economic dispatch in microgrids based on genetic algorithm and mixed integer linear programming
Abstract Energy Management System (EMS) applications of modern power networks like
microgrids have to respond to a number of stringent challenges due to current energy …
microgrids have to respond to a number of stringent challenges due to current energy …
Multi-objective jellyfish search optimizer for efficient power system operation based on multi-dimensional OPF framework
An enhanced multi-objective Quasi-Reflected Jellyfish Search Optimizer (MOQRJFS) is
presented in this article for solving multi-dimensional Optimal Power Flow (MDOPF) issue …
presented in this article for solving multi-dimensional Optimal Power Flow (MDOPF) issue …
An enhanced moth-flame optimizer for solving non-smooth economic dispatch problems with emissions
This paper proposes an Enhanced Moth-Flame Optimization (EMFO) algorithm for solving
the non-convex economic dispatch (ED) problem with valve point effects and emissions. It …
the non-convex economic dispatch (ED) problem with valve point effects and emissions. It …
An enhanced moth-swarm algorithm for efficient energy management based multi dimensions OPF problem
B Bentouati, A Khelifi, AM Shaheen… - Journal of Ambient …, 2021 - Springer
The optimal power flow (OPF) problem is very important issue in operation, planning and
energy management of power systems. OPF analysis aims to find the optimal solution of …
energy management of power systems. OPF analysis aims to find the optimal solution of …
A modified crow search optimizer for solving non-linear OPF problem with emissions
This paper proposes a modified crow search optimizer (MCSO) for solving the combined
economic emission power flow (EEPF) problem. In the proposed approach, the local search …
economic emission power flow (EEPF) problem. In the proposed approach, the local search …
[PDF][PDF] A new sine cosine optimization algorithm for solving combined non-convex economic and emission power dispatch problems
RM Rizk-Allah, HMA Mageed, RA El-Sehiemy… - Int J Energy …, 2017 - academia.edu
The current study presents a modified sine cosine optimization (MSCO) algorithm for solving
the non-smooth environmental/economic power dispatch problem. In the proposed MSCO …
the non-smooth environmental/economic power dispatch problem. In the proposed MSCO …
Constrained multiobjective equilibrium optimizer algorithm for solving combined economic emission dispatch problem
MA El-Shorbagy, AA Mousa - Complexity, 2021 - Wiley Online Library
This research implements a recent evolutionary‐based algorithm of equilibrium optimizer to
resolve the constrained combined economic emission dispatch problem. This problem has …
resolve the constrained combined economic emission dispatch problem. This problem has …
Assessment of hurricane versus sine‐cosine optimization algorithms for economic/ecological emissions load dispatch problem
RA El‐Sehiemy, RM Rizk‐Allah… - … on Electrical Energy …, 2019 - Wiley Online Library
In the current research, a comparative study of two modern optimization algorithms is carried
out for finding the solution of non‐smooth economic/ecological emission load dispatch …
out for finding the solution of non‐smooth economic/ecological emission load dispatch …
A novel pose estimation algorithm for robotic navigation
This paper proposes a new pose estimation algorithm in the framework of robotic navigation
problems. The algorithm gives the mobile robot (MR) pose on the basis of the difference …
problems. The algorithm gives the mobile robot (MR) pose on the basis of the difference …
Efficient parameter estimation procedure using sunflower optimization algorithm for six-phase induction motor
M Abdelwanis, R EL-SEHIEMY - REVUE ROUMAINE DES …, 2022 - journal.iem.pub.ro
The accuracy of studying the performance of the six-phase induction motors (SPIMs)
depends on the accurate estimation of the motor parameters. This article examines the …
depends on the accurate estimation of the motor parameters. This article examines the …