TY - GEN
T1 - Comparative Assessment of Optimization Techniques Employed for Coordination of Directional Overcurrent Relays
AU - Kumar, Prashant
AU - Alzaabi, Omar
AU - Al Jaafari, Khaled
AU - Kumar, Pawan
AU - Al Hosani, Khalifa
AU - Muduli, Utkal Ranjan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Directional Overcurrent Relays (DOCRs) coordination in a large distribution network is a highly constrained optimization problem. It is a challenging optimization task to discover the ideal configuration so as to reduce the total amount of time that each primary relay. The primary goal is to determine the optimum solution of relays to reduce the overall functioning duration on each primary relay being active. The calculation of the relay characteristics, limitations on relay functioning duration and relay configuration according to optimization requirements form the basis of coordination research. This study details an approach to improving the coordination between DOCRs in a multi-site distribution network. In this study, a comparative study with several optimization techniques are applied on a radial and a mesh (3-Bus, 6-Bus) system to solve coordination problem. These optimization techniques comprises Particle swarm optimization (PSO), Differential evolution (DE), Bees algorithm (BeA), Invasive weed optimization (IWO) and Teaching learning-based optimization (TLBO). Based on the findings, it is clear that the TLBO approach is the most efficient means of dealing with this type of situation.
AB - The Directional Overcurrent Relays (DOCRs) coordination in a large distribution network is a highly constrained optimization problem. It is a challenging optimization task to discover the ideal configuration so as to reduce the total amount of time that each primary relay. The primary goal is to determine the optimum solution of relays to reduce the overall functioning duration on each primary relay being active. The calculation of the relay characteristics, limitations on relay functioning duration and relay configuration according to optimization requirements form the basis of coordination research. This study details an approach to improving the coordination between DOCRs in a multi-site distribution network. In this study, a comparative study with several optimization techniques are applied on a radial and a mesh (3-Bus, 6-Bus) system to solve coordination problem. These optimization techniques comprises Particle swarm optimization (PSO), Differential evolution (DE), Bees algorithm (BeA), Invasive weed optimization (IWO) and Teaching learning-based optimization (TLBO). Based on the findings, it is clear that the TLBO approach is the most efficient means of dealing with this type of situation.
KW - Directional over current relay
KW - Optimal coordination
KW - plug setting
KW - Time multiplier setting
UR - http://www.scopus.com/inward/record.url?scp=85153567280&partnerID=8YFLogxK
U2 - 10.1109/GlobConHT56829.2023.10087487
DO - 10.1109/GlobConHT56829.2023.10087487
M3 - Conference contribution
AN - SCOPUS:85153567280
T3 - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
BT - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Y2 - 11 March 2023 through 12 March 2023
ER -
