ARTÍCULO
TITULO

ATC using FACTS Devices in Deregulated Power Systems

Prakash Burade    
Rajendra Sadafale    
Anand Satpute    

Resumen

A Repeated Power Flow with FACTS devices including ATC is used to evaluate the feasible ATC value within real and reactive power generation limits, line thermal limits, voltage limits and FACTS operation limits. An IEEE-30 bus system is used to demonstrate the effectiveness of the algorithm as an optimization tool to enhance ATC. A Genetic Algorithm technique is used for validation purposes. Introduction of FACTS devices in a right combination of location and parameters could enhance ATC and Ant Colony optimization can be efficiently used for this kind of nonlinear integer optimization.

Palabras claves

 Artículos similares

       
 
Nils Ahrenhold, Hartmut Helmke, Thorsten Mühlhausen, Oliver Ohneiser, Matthias Kleinert, Heiko Ehr, Lucas Klamert and Juan Zuluaga-Gómez    
Automatic speech recognition and understanding (ASRU) for air traffic control (ATC) has been investigated in different ATC environments and applications. The objective of this study was to quantify the effect of ASRU support for air traffic controllers (... ver más
Revista: Aerospace

 
Sergi Mas-Pujol, Esther Salamí and Enric Pastor    
Air traffic flow management (ATFM) is of crucial importance to the European Air Traffic Control System due to two factors: first, the impact of ATFM, including safety implications on ATC operations; second, the possible consequences of ATFM measures on b... ver más
Revista: Aerospace

 
Lidia Serrano-Mira, Marta Pérez Maroto, Eduardo S. Ayra, Javier Alberto Pérez-Castán, Schon Z. Y. Liang-Cheng, Víctor Gordo Arias and Luis Pérez-Sanz    
A Mid-Air Collision (MAC) is a fatal event with tragic consequences. To reduce the risk of a MAC, it is imperative to understand the precursors that trigger it. A primary precursor to a MAC is a loss of separation (LOS) or a separation infringement. This... ver más
Revista: Aerospace

 
Zhuang Wang, Weijun Pan, Hui Li, Xuan Wang and Qinghai Zuo    
Deep reinforcement learning (DRL) has been widely adopted recently for its ability to solve decision-making problems that were previously out of reach due to a combination of nonlinear and high dimensionality. In the last few years, it has spread in the ... ver más
Revista: Aerospace

 
Lei Yang, Jue Huang, Qi Gao, Yi Zhou, Minghua Hu and Hua Xie    
Free Route Airspace (FRA) permits users to freely plan routes between defined entry and exit waypoints with the possibility of routing via intermediate waypoints, which is beneficial to improve flight efficiency. Dynamic management of sectors is essentia... ver más
Revista: Aerospace