TY - JOUR
T1 - Stochastic Simulation Model of Attention to Response to Electrical Distribution System Faults
AU - Jara, Mario
AU - Sabattin, Jorge
AU - Rojas, Felipe
AU - Reyes, Hector
AU - Jones, Francisco
AU - Portales, Hector
AU - Reyes, Marcelo
AU - Gatica, Gustavo
AU - Aliaga, Erwin
AU - Calderon-Ochoa, Andres F.
AU - Coronado-Hernandez, Jairo R.
N1 - Publisher Copyright:
© 2023 Elsevier B.V.. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Queuing theory allows simulating scenarios applied to requirements of events of stochastic origin to solve problems in the attention service of electrical networks. Regarding emergency reactions, companies may experience response time delays due to incorrect sizing of the number of crew members, among other parameters. So is the case for a company in the Chilean energy sector called Enel, which is currently experiencing response delay issues. A complete formulation is presented, which can be easily used for planning the crews required for attention to the response to electrical distribution system faults. The formulation is applied to an electrical distribution company located in Chile.
AB - Queuing theory allows simulating scenarios applied to requirements of events of stochastic origin to solve problems in the attention service of electrical networks. Regarding emergency reactions, companies may experience response time delays due to incorrect sizing of the number of crew members, among other parameters. So is the case for a company in the Chilean energy sector called Enel, which is currently experiencing response delay issues. A complete formulation is presented, which can be easily used for planning the crews required for attention to the response to electrical distribution system faults. The formulation is applied to an electrical distribution company located in Chile.
KW - Crew Location
KW - Optimization Model
KW - Power Line Emergencies
KW - Stochastic Process
KW - Waiting Lines
UR - http://www.scopus.com/inward/record.url?scp=85164469405&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2023.03.128
DO - 10.1016/j.procs.2023.03.128
M3 - Conference article
AN - SCOPUS:85164469405
SN - 1877-0509
VL - 220
SP - 934
EP - 939
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023
Y2 - 15 March 2023 through 17 March 2023
ER -