R Rao - Decision science letters, 2016 - growingscience.com
The teaching-learning-based optimization (TLBO) algorithm is finding a large number of applications in different fields of engineering and science since its introduction in 2011. The …
F Zou, D Chen, Q Xu - Neurocomputing, 2019 - Elsevier
Over past few decades, swarm intelligent algorithms based on the intelligent behaviors of social creatures have been extensively studied and applied for all kinds of optimization …
This paper describes a novel load-shedding strategy that assures adequate voltage stability margin in post-load-shedding conditions. Minimum numbers of buses are selected for load …
H Cui, Y Ye, J Hu, Y Tang, Z Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The risk of transmission overload (TO) in power grids is increasing with the large-scale integration of intermittent renewable energy sources. An effective online preventive control …
The increasing number of renewable energy sources (RESs) connected to power grids contributes to the emergence of not only balancing problems but also technical ones, such …
Employing the novel Deep Reinforcement Learning approach, this paper addresses the active power corrective control in modern power systems. Seeking to minimize the joint …
F Sayed, S Kamel, MA Taher, F Jurado - Electrical Engineering, 2021 - Springer
The power systems become operate closer to loadability limits; hence, the power systems static voltage stability assessment becomes an essential task in planning and operating for …
B Yang, T Yu, X Zhang, L Huang… - IET Generation …, 2018 - Wiley Online Library
This study proposes a novel interactive teaching–learning optimiser (ITLO) for voltage source converter based high voltage direct current (VSC‐HVDC) systems with offshore wind …
With the fast development of technologies of renewable generations and distributed energy resources, the distribution grids become more and more active, and the coordinated …