[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 …
An improved lightning attachment procedure optimizer for optimal reactive power dispatch with uncertainty in renewable energy resources
Integrating renewable energy resources (RERs) has become the head of concern of the
modern power system to diminish the dependence of using conventional energy resources …
modern power system to diminish the dependence of using conventional energy resources …
Investigation of optimal power flow solution techniques considering stochastic renewable energy sources: Review and analysis
Increased penetration of renewable energy sources (RESs) in power system networks
poses several challenges in system planning and management due to their uncertain and …
poses several challenges in system planning and management due to their uncertain and …
Optimal power flow solution incorporating a simplified UPFC model using lightning attachment procedure optimization
Unified power flow controller (UPFC) is utilized to regulate the bus voltage as well as the
power flow through a power system. A solution of optimal power flow (OPF) problems with …
power flow through a power system. A solution of optimal power flow (OPF) problems with …
Optimal Reactive Power Flow for Large‐Scale Power Systems Using an Effective Metaheuristic Algorithm
In this paper, stochastic fractal search method (SFS) is employed for solving the optimal
reactive power flow (ORPF) problem with a target of optimizing total active power losses …
reactive power flow (ORPF) problem with a target of optimizing total active power losses …
Optimal power flow using hybrid DA-APSO algorithm in renewable energy resources
Abstract Optimal Power Flow (OPF) is a nonlinear and highly constrained optimization
problem. This research presents a hybrid metaheuristic based optimization method …
problem. This research presents a hybrid metaheuristic based optimization method …
Optimal placement of FACTS devices and power‐flow solutions for a power network system integrated with stochastic renewable energy resources using new …
K Nusair, F Alasali, A Hayajneh… - International Journal of …, 2021 - Wiley Online Library
Flexible AC transmission systems (FACTS) and optimal power‐flow (OPF) solutions play an
important role in solving power operation problems. The volatile nature of the power …
important role in solving power operation problems. The volatile nature of the power …
Flow direction algorithm-based optimal power flow analysis in the presence of stochastic renewable energy sources
In recent years, power systems have expanded significantly, especially with the
incorporation of various renewable energy sources (RESs). The optimal operation of the …
incorporation of various renewable energy sources (RESs). The optimal operation of the …
Distributed generators optimization based on multi-objective functions using manta rays foraging optimization algorithm (MRFO)
Manta Ray Foraging Optimization Algorithm (MRFO) is a new bio-inspired, meta-heuristic
algorithm. MRFO algorithm has been used for the first time to optimize a multi-objective …
algorithm. MRFO algorithm has been used for the first time to optimize a multi-objective …
Probabilistic optimal power flow solution using a novel hybrid metaheuristic and machine learning algorithm
This paper proposes a novel hybrid optimization technique based on a machine learning
(ML) approach and transient search optimization (TSO) to solve the optimal power flow …
(ML) approach and transient search optimization (TSO) to solve the optimal power flow …