Results 31 to 40 of about 536 (145)
PSO based optimal reactive power dispatch (ORPD) considering multi-contingencies [PDF]
, 2018 A stable power system can be subjected to voltage fluctuations due to poorly regulated reactive power flow that causes system instability. Reactive power is closely related to system voltage control, therefore, it is crucial to ensure the correct amount ...
Nur Asiha Binti Sazali 2
core +5 more sources
Industrial Fragrance Chemistry: A Brief Historical Perspective
European Journal of Organic Chemistry, Volume 26, Issue 44, November 21, 2023., 2023 This short review provides a historical overview of the key scientific and technological advancements in the field of fragrance chemistry and their impact on consumer goods such as perfume, deodorants, detergents, shampoos, and soaps over a span of 150 years.
Olivier R. P. David, Franco Doro
wiley +1 more source
IET Renewable Power Generation, Volume 17, Issue 13, Page 3267-3288, 5 October 2023., 2023 Abstract This study addresses the challenging task of solving optimal reactive power dispatch (ORPD) while incorporating renewable energy resources (RERs), considering their stochastic and time‐varying nature. Specifically, the focus is on solving the stochastic optimal reactive power dispatch (SORPD) problem, taking into account uncertainties in load ...
Mohamed Ebeed +5 more
wiley +1 more source
Solving the Optimal Reactive Power Dispatch Problem through a Python-DIgSILENT Interface
Computation, 2022 The Optimal Reactive Power Dispatch (ORPD) problem consists of finding the optimal settings of reactive power resources within a network, usually with the aim of minimizing active power losses.
Martin M. Sánchez-Mora +4 more
doaj +1 more source
International Transactions on Electrical Energy Systems, Volume 2023, Issue 1, 2023., 2023 The increased integration of renewable energies (REs) raised the uncertainties of power systems and has changed the approach to dealing with power system challenges. Hence, the uncertain nature of all the power system variables needs to be considered while dealing with the optimal planning and operation of modern power systems.
Mahmmadsufiyan Shaik +5 more
wiley +1 more source
IEEE Access, 2021 The Flexible alternating current transmission systems (FACTS) is considered one of the most developed technologies applied for enhancing the performance of system due to their ability of adjusting different parameters in the transmission systems such as ...
Noor Habib Khan +5 more
doaj +1 more source
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 Under the background of continuous development in our country, traditional English education can no longer meet the needs of modern times. Through the evaluation of English autonomous learning effect of artificial intelligence and the analysis of the influencing factors of adaptability, the teaching effect of English class is improved and the students’
Xing Shu, Chengjun Xu, Man Fai Leung
wiley +1 more source
Optimization of Regional Industrial Structure Based on Multiobjective Optimization and Fuzzy Set
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 With the development of China’s economy, it is required to change the mode of economic growth, from extensive growth mode to intensive growth mode. Therefore, the research on industrial structure is of great significance. This study proposes a regional industrial structure optimization method based on multiobjective optimization and fuzzy set. Firstly,
Lina Guo, Zaoli Yang
wiley +1 more source
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 Fourier transformation (FT) and Multiple Signal Classification (MUSIC) method suffer the insufficient ability in diagnosing broken rotor bar (BRB) fault using short‐time data. Theoretical and simulation analyses show that the Optimum Resolution of Prescient Direction (ORPD) algorithm has the best frequency resolution performance due to a priori ...
Zhuzhi Jia +4 more
wiley +1 more source
An Improved New Caledonian Crow Learning Algorithm for Global Function Optimization
Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022 The New Caledonian crow learning algorithm (NCCLA) is a novel metaheuristic algorithm inspired by the learning behavior of New Caledonian crows learning to make tools to obtain food. However, it suffers from the problems of easily falling into local optima and insufficient convergence accuracy and convergence precision.
Yanjiao Wang +3 more
wiley +1 more source