Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
[HTML][HTML] A hybrid moth–flame algorithm with particle swarm optimization with application in power transmission and distribution
The transmission lines are used for power distribution across large distances. Different
parameters affect the power transmission efficiency, and the quality of service. Furthermore …
parameters affect the power transmission efficiency, and the quality of service. Furthermore …
Thyristor controlled series compensator for the solution of reactive power management problem
Over the years the optimization in various areas of power system has immensely attracted
the attention of power engineers and researchers. Reactive power management (RPM) …
the attention of power engineers and researchers. Reactive power management (RPM) …
Solution for reactive power planning problem using salp swarm algorithm
In this article, a Salp Swarm Algorithm (SSA) technique has been proposed for the optimal
coordination of interconnected power network grids (RPP). It has successfully implemented …
coordination of interconnected power network grids (RPP). It has successfully implemented …
Voltage constrained reactive power planning problem for reactive loading variation using hybrid harris hawk particle swarm optimizer
This study proposes the application of an efficient and hybrid meta-heuristic algorithm of
Harris Hawk-Particle Swarm Optimizer (HHOPSO) for solving voltage constrained reactive …
Harris Hawk-Particle Swarm Optimizer (HHOPSO) for solving voltage constrained reactive …
Assessment of evolutionary optimization techniques applications in modern power systems
This paper presents the latest work in the field of optimization of modern power system
systems networks. Optimization is an efficient tool and an easy way to solve the complex …
systems networks. Optimization is an efficient tool and an easy way to solve the complex …
A novel ameliorated Harris hawk optimizer for solving complex engineering optimization problems
This article presents a metaheuristic algorithm namely Ameliorated Harris Hawk Optimizer
(AHHO) to solve multiconstrained optimization problems. AHHO mimics the hunting …
(AHHO) to solve multiconstrained optimization problems. AHHO mimics the hunting …
A novel long-term power forecasting based smart grid hybrid energy storage system optimal sizing method considering uncertainties
L Zhao, T Zhang, X Peng, X Zhang - Information Sciences, 2022 - Elsevier
With the penetration of renewable generation, the reliability of modern power systems is
increasingly challenged. This is especially true for power systems with comparatively low …
increasingly challenged. This is especially true for power systems with comparatively low …
Volt/var optimization: A survey of classical and heuristic optimization methods
H Mataifa, S Krishnamurthy, C Kriger - IEEE Access, 2022 - ieeexplore.ieee.org
Reactive power optimization and voltage control is one of the most critical components of
power system operation, impacting both the economy and security of system operation. It is …
power system operation, impacting both the economy and security of system operation. It is …
Optimal reactive power planning using oppositional grey wolf optimization by considering bus vulnerability analysis
Power system instability primarily results from the deviation of the frequency from its
predefined rated value. This deviation causes voltage collapse, which further leads to …
predefined rated value. This deviation causes voltage collapse, which further leads to …