Modern techniques for the optimal power flow problem: State of the art
BG Risi, F Riganti-Fulginei, A Laudani - Energies, 2022 - mdpi.com
Due to its significance in the operation of power systems, the optimal power flow (OPF)
problem has attracted increasing interest with the introduction of smart grids. Optimal power …
problem has attracted increasing interest with the introduction of smart grids. Optimal power …
A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources.
M Ahmadipour, Z Ali, VK Ramachandaramurthy… - Applied Soft …, 2024 - Elsevier
The traditional optimal power flow problem (OPF) usually centers on thermal generators,
which have limited fuel for power generation, while emissions from the network system are …
which have limited fuel for power generation, while emissions from the network system are …
Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems
There is a new nature-inspired algorithm called salp swarm algorithm (SSA), due to its
simple framework, it has been widely used in many fields. But when handling some …
simple framework, it has been widely used in many fields. But when handling some …
[HTML][HTML] Stochastic optimal power flow analysis of power system with renewable energy sources using Adaptive Lightning Attachment Procedure Optimizer
The integration of several renewable energy sources (RESs), such as photovoltaic
generation (PVG) and wind turbine generation (WTG), introduces a significant amount of …
generation (PVG) and wind turbine generation (WTG), introduces a significant amount of …
Hybridizing of whale and moth-flame optimization algorithms to solve diverse scales of optimal power flow problem
The optimal power flow (OPF) is a practical problem in a power system with complex
characteristics such as a large number of control parameters and also multi-modal and non …
characteristics such as a large number of control parameters and also multi-modal and non …
An improved heap optimization algorithm for efficient energy management based optimal power flow model
The optimal power flow is considered as a crucial tool in the power systems' operation and
planning. To demonstrate, it aims at minimizing the operational costs of energy production …
planning. To demonstrate, it aims at minimizing the operational costs of energy production …
Optimal power flow analysis based on hybrid gradient-based optimizer with moth–flame optimization algorithm considering optimal placement and sizing of FACTS …
Optimal power flow (OPF) is one of the most significant electric power network control and
management issues. Adding unreliable and intermittent renewable energy sources to the …
management issues. Adding unreliable and intermittent renewable energy sources to the …
Optimal power flow using a hybridization algorithm of arithmetic optimization and aquila optimizer
In this paper, a hybridization method based on Arithmetic optimization algorithm (AOA) and
Aquila optimizer (AO) solver namely, the AO-AOA is applied to solve the Optimal Power Flow …
Aquila optimizer (AO) solver namely, the AO-AOA is applied to solve the Optimal Power Flow …
[HTML][HTML] Gaussian bare-bones Levy circulatory system-based optimization for power flow in the presence of renewable units
Abstract The Optimal Power Flow (OPF) is a vital issue in electrical networks to ensure the
economical and safe operation to transfer electrical energy that is very complex, non-linear …
economical and safe operation to transfer electrical energy that is very complex, non-linear …
An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning
Y Yang, C Qian, H Li, Y Gao, J Wu, CJ Liu… - The journal of …, 2022 - Springer
As unsupervised learning algorithm, clustering algorithm is widely used in data processing
field. Density-based spatial clustering of applications with noise algorithm (DBSCAN), as a …
field. Density-based spatial clustering of applications with noise algorithm (DBSCAN), as a …