Optimal reactive power dispatch using a chaotic turbulent flow of water-based optimization algorithm

AM Abd-El Wahab, S Kamel, MH Hassan, MI Mosaad… - Mathematics, 2022 - mdpi.com
In this study, an optimization algorithm called chaotic turbulent flow of water-based
optimization (CTFWO) algorithm is proposed to find the optimal solution for the optimal …

Wind speed and power ultra short-term robust forecasting based on Takagi–Sugeno fuzzy model

F Liu, R Li, A Dreglea - Energies, 2019 - mdpi.com
Accurate wind power and wind speed forecasting remains a critical challenge in wind power
systems management. This paper proposes an ultra short-time forecasting method based on …

Novel Western Jackdaw search, antrostomus swarm and Indian ethnic vedic teaching: inspired optimization algorithms for real power loss diminishing and voltage …

L Kanagasabai - International Journal of System Assurance Engineering …, 2022 - Springer
Abstract This paper proposes Western Jackdaw search optimization (WJSO) algorithm,
Antrostomus swarm optimization (ASSO) algorithm and Indian ethnic vedic teaching …

Hybrid intelligent technique for voltage/VAR control in power systems

NV Tomin, VG Kurbatsky… - IET Generation …, 2019 - Wiley Online Library
Modern power systems are far from immune from voltage collapse, and examples abound
over the past decade. This is due to the fact the current generation of automatic emergency …

Hybrid renewable energy systems, load and generation forecasting, new grids structure, and smart technologies

A Dreglea, A Foley, U Häger, D Sidorov… - … Problems Using Smart …, 2021 - Elsevier
This chapter gives the brief introduction to the management of energy in smart grids focusing
on the hybrid renewable energy systems, load and generation forecasting, new grids …

Analysis and Prediction of Electric Power System's Stability Based on Virtual State Estimators

N Bakhtadze, I Yadikin - Mathematics, 2021 - mdpi.com
The stability of bilinear systems is investigated using spectral techniques such as selective
modal analysis. Predictive models of bilinear systems based on inductive knowledge …

The concept of constructing an artificial dispatcher intelligent system based on deep reinforcement learning for the automatic control system of electric networks

NV Tomin - Journal of Computer and Systems Sciences …, 2020 - Springer
The concept of the Artificial Dispatcher autonomous intelligent control system for integrating
into modern automatic control systems of electric networks in order to improve the efficiency …

[HTML][HTML] Application of machine learning algorithms in the problems of improving mode reliability of modern power systems

V Kurbatsky, H Guliyev, N Tomin… - Reliability: Theory & …, 2023 - cyberleninka.ru
In order to increase the regime reliability of energy systems, the experience of applying
machine learning algorithms and models for various issues of operative-dispatching and …

КОНЦЕПЦИЯ ПОСТРОЕНИЯ ИНТЕЛЛЕКТУАЛЬНОЙ СИСТЕМЫ “ИСКУССТВЕННЫЙ ДИСПЕТЧЕР” ДЛЯ АВТОМАТИЧЕСКОЙ СИСТЕМЫ УПРАВЛЕНИЯ …

НВ Томин - Известия Российской академии наук. Теория и …, 2020 - elibrary.ru
Предложена концепция автономной интеллектуальной системы управления
“Искусственный диспетчер” для интеграции в современные автоматические системы …

[PDF][PDF] Intelligent Control and Protection of Power Systems in the Russian Cities.

NI Voropai, VG Kurbatsky, NV Tomin, D Efimov… - …, 2019 - scitepress.org
A distinctive feature of the energy system development in Russian megalopolises is the
need for a comprehensive approach to the problem of making the network intelligent. The …