TY - GEN
T1 - Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm
AU - Peñaloza, John
AU - Yumbla, Jairo
AU - López, Julio
AU - Padilha-Feltrin, Antonio
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - This paper presents the develop of a computational tool for solve the distribution network reconfiguration problem considering the power losses minimization and distributed generation. The proposed tool satisfies the operational constraints of systems, e.g., voltage limits in nodes and the current capacity of lines. The use of a MINLP and a Genetic Algorithm guarantees convergence to good quality solutions. This is a searching adaptive method - based on natural selection and natural genetic. It improves the solutions in combinatorial problems, in each iteration through their operators (selection, crossover and mutation). 14-Bus, 33-Bus and 69-bus test systems and 880-Bus real system were employed to show the effectiveness and satisfactory results of the proposed tool.
AB - This paper presents the develop of a computational tool for solve the distribution network reconfiguration problem considering the power losses minimization and distributed generation. The proposed tool satisfies the operational constraints of systems, e.g., voltage limits in nodes and the current capacity of lines. The use of a MINLP and a Genetic Algorithm guarantees convergence to good quality solutions. This is a searching adaptive method - based on natural selection and natural genetic. It improves the solutions in combinatorial problems, in each iteration through their operators (selection, crossover and mutation). 14-Bus, 33-Bus and 69-bus test systems and 880-Bus real system were employed to show the effectiveness and satisfactory results of the proposed tool.
KW - Distribution systems
KW - feeders
KW - genetic algorithms
KW - MINLP
KW - optimization
KW - reconfiguration
KW - substations
UR - https://www.scopus.com/pages/publications/85075715343
U2 - 10.1109/ISGT-LA.2019.8895354
DO - 10.1109/ISGT-LA.2019.8895354
M3 - Contribución a la conferencia
AN - SCOPUS:85075715343
T3 - 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019
BT - 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019
Y2 - 15 September 2019 through 18 September 2019
ER -