Grasshopper optimization algorithm: theory, variants, and applications
Y Meraihi, AB Gabis, S Mirjalili… - Ieee …, 2021 - ieeexplore.ieee.org
Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …
Challenges and opportunities of FACTS devices interacting with electric vehicles in distribution networks: A technological review
A Mousaei, M Gheisarnejad, MH Khooban - Journal of Energy Storage, 2023 - Elsevier
Electric vehicles have many opportunities to participate in auxiliary operations as research
interest in renewables and green energy sources grows. This paper discusses novel energy …
interest in renewables and green energy sources grows. This paper discusses novel energy …
Application of modified artificial hummingbird algorithm in optimal power flow and generation capacity in power networks considering renewable energy sources
MM Emam, EH Houssein, MA Tolba, MM Zaky… - Scientific Reports, 2023 - nature.com
Today's electrical power system is a complicated network that is expanding rapidly. The
power transmission lines are more heavily loaded than ever before, which causes a host of …
power transmission lines are more heavily loaded than ever before, which causes a host of …
An improved version of salp swarm algorithm for solving optimal power flow problem
Salp swarm algorithm (SSA) is a recent optimization technique inspired by behavior of the
salp chains in deep oceans. However, the SSA is efficient, simple and easy to implement, it …
salp chains in deep oceans. However, the SSA is efficient, simple and easy to implement, it …
Developed Gorilla troops technique for optimal power flow problem in electrical power systems
This paper presents a developed solution based on gorilla troops optimization technique for
OPFP in EPSs. The GTOT is motivated by gorillas' group behaviors in which several …
OPFP in EPSs. The GTOT is motivated by gorillas' group behaviors in which several …
[HTML][HTML] Review of bio-inspired optimization applications in renewable-powered smart grids: Emerging population-based metaheuristics
The management of renewable-powered smart grids deals with nonlinear optimization
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …
Optimal power flow with emerged technologies of voltage source converter stations in meshed power systems
It is no doubt that the optimal power flow (OPF) has great importance in electric power
systems. It aims at assigning the adequate operating levels in order to meet the required …
systems. It aims at assigning the adequate operating levels in order to meet the required …
[HTML][HTML] Stochastic optimal power flow analysis of power systems with wind/PV/TCSC using a developed Runge Kutta optimizer
Recently, renewable energy resources such as wind turbines (WTs) and photovoltaic (PV)
systems are wildly installed in electrical systems. However, the main challenge that related …
systems are wildly installed in electrical systems. However, the main challenge that related …
A novel optimal power flow model for efficient operation of hybrid power networks
In the power industry, the design of an efficient optimal power flow (OPF) model is one of the
important research challenges. This study presents the formulation and solution of the OPF …
important research challenges. This study presents the formulation and solution of the OPF …
Application and progress of artificial intelligence technology in the field of distribution network voltage Control: A review
The increasing integration of distributed energy resources has led to heightened complexity
in distribution network models, posing challenges of uncertainty and volatility to the …
in distribution network models, posing challenges of uncertainty and volatility to the …