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 …
Bobcat Optimization Algorithm: an effective bio-inspired metaheuristic algorithm for solving supply chain optimization problems
Supply chain efficiency is a major challenge in today's business environment, where efficient
resource allocation and coordination of activities are essential for competitive advantage …
resource allocation and coordination of activities are essential for competitive advantage …
A high-performance democratic political algorithm for solving multi-objective optimal power flow problem
The optimal power flow (OPF) is one of the most noticeable and integral tools in the power
system operation and control and aims to obtain the most economical combination of power …
system operation and control and aims to obtain the most economical combination of power …
Modified effective butterfly optimizer for solving optimal power flow problem
The optimal power flow (OPF) problem remains a popular and challenging work in
optimizing power systems. Although researchers have suggested many optimization …
optimizing power systems. Although researchers have suggested many optimization …
Enhanced power grid performance through Gorilla Troops Algorithm-guided thyristor controlled series capacitors allocation
MH Alqahtani, SZ Almutairi, AS Aljumah, AR Ginidi… - Heliyon, 2024 - cell.com
This article introduces an innovative application of the Enhanced Gorilla Troops Algorithm
(EGTA) in addressing engineering challenges related to the allocation of Thyristor …
(EGTA) in addressing engineering challenges related to the allocation of Thyristor …
Enhanced kepler optimization method for nonlinear multi-dimensional optimal power flow
Multi-Dimensional Optimal Power Flow (MDOPF) is a fundamental task in power systems
engineering aimed at optimizing the operation of electrical networks while considering …
engineering aimed at optimizing the operation of electrical networks while considering …
Optimal power flow in hybrid Wind-PV-V2G systems with dynamic load demand using a Hybrid MRFO-AHA Algorithm
The energy produced from various sources in modern power systems needs to be optimally
planned for scheduling and managing the power system under specific conditions. In recent …
planned for scheduling and managing the power system under specific conditions. In recent …
An innovative real-time framework for probabilistic load flow computation in renewable-based microgrids considering correlation: Integrating automatic data clustering …
This paper suggests a new approach, called automatic data clustering, using an enhanced
arithmetic optimization algorithm (ADC-EAOA), for improving the probabilistic load flow …
arithmetic optimization algorithm (ADC-EAOA), for improving the probabilistic load flow …
Solving optimal power flow control problem using honey formation optimization algorithm
This paper introduces three new variations of the HFO-1 (Honey Formation Optimization with
Single Component) algorithm, namely HFO-1a, HFO-1b and HFO-1c, adapted to address …
Single Component) algorithm, namely HFO-1a, HFO-1b and HFO-1c, adapted to address …
[HTML][HTML] Optimized FOPID controller for nuclear research reactor using enhanced planet optimization algorithm
Nuclear reactor control is pivotal for the safe and efficient operation of nuclear power plants,
facilitating the regulation of reactor reactivity. This study introduces an optimized fractional …
facilitating the regulation of reactor reactivity. This study introduces an optimized fractional …