Optimal Power Flow using PSO algorithms based on Artificial Neural Networks

OS Al-butti, M Burunkaya, J Rahebi… - IEEE …, 2024 - ieeexplore.ieee.org
The need to improve the performance of electrical power systems involves solving the
Optimal Power Flow (OPF) problem by determining the optimal controllable setpoints, which …

[HTML][HTML] Solving probabilistic optimal power flow with renewable energy sources in distribution networks using fire hawk optimizer

WNAD Abed - E-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
The main contribution in this article is proposing a modern meta-heuristic algorithm for
solving nonlinear, nonconvex, and complex OPF problems effectively in distribution …

Voltage Stability Assessment of Power System Using Line Indices with Wind System and Solar Photovoltaic Generation Integration

SK Gupta, SK Mallik - Journal of Operation and Automation in …, 2024 - joape.uma.ac.ir
Due to the exponential increase in electricity demand, the power system is being operated at
its stability limit. Due to the scarcity of natural resources, the generation can not be …

Radial Distribution System Network Reconfiguration for Reduction in Real Power Loss and Improvement in Voltage Profile, and Reliability

SS Halve, SS Raghuwanshi, D Sonje - Journal of Operation and …, 2024 - joape.uma.ac.ir
Distribution systems play a crucial role in delivering power to customers and bridging the
gap between bulk power transmission and end-users. Increasing energy demand due to …

[PDF][PDF] Modern Meta-Heuristic Algorithms for Solving Combined Economic and Emission Dispatch

WNAD Abed - 2025 - ijeee.edu.iq
The traditional economic dispatch (ED) inattention to the fossil fuels emission of thermal
power plants no longer satisfies the environmental needs. As a result of the non-convex, non …

Neuromorphic Computing and AI-Enhanced

RP Shukla, D Kumar - Intelligent Systems Design and …, 2024 - books.google.com
Time series of counts find extensive applications in various domains such as public health,
finance, trade volumes, and environmental monitoring. Dealing with dispersion in these …

Neuromorphic Computing and AI-Enhanced Modeling of Time Series Counts for Real-Life Data Analysis

RP Shukla, D Kumar - … Conference on Intelligent Systems Design and …, 2023 - Springer
Time series of counts find extensive applications in various domains such as public health,
finance, trade volumes, and environmental monitoring. Dealing with dispersion in these …