TY - GEN
T1 - Optimal sizing of hybrid ship power system using variants of particle swarm optimization
AU - Divyajot,
AU - Kumar, Rajesh
AU - Fozdar, Manoj
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/5/11
Y1 - 2018/5/11
N2 - Conventionally, ships have used diesel engine run generators to meet the electrical load demands varying from general lighting purposes to powering advanced machinery onboard. However, due to escalating fuel prices, the marine industry is compelled to search for alternate sources of energy to fulfill its increasing load demands. Simply relying on diesel generators for the same implies significantly increasing the ships' CO2 emissions. Therefore, it is imperative to shift from conventional to renewable sources of energy to minimize fuel consumption and thereby reduce the carbon footprint of the marine industry. This paper explores the impact of using Particle Swarm Optimization (PSO) with Time varying inertia weight (TVIW), and Triangular PSO on the optimal sizing of PV, Energy storage system and Diesel generator output, onboard an oil tanker so as to minimize emissions at an economical cost.
AB - Conventionally, ships have used diesel engine run generators to meet the electrical load demands varying from general lighting purposes to powering advanced machinery onboard. However, due to escalating fuel prices, the marine industry is compelled to search for alternate sources of energy to fulfill its increasing load demands. Simply relying on diesel generators for the same implies significantly increasing the ships' CO2 emissions. Therefore, it is imperative to shift from conventional to renewable sources of energy to minimize fuel consumption and thereby reduce the carbon footprint of the marine industry. This paper explores the impact of using Particle Swarm Optimization (PSO) with Time varying inertia weight (TVIW), and Triangular PSO on the optimal sizing of PV, Energy storage system and Diesel generator output, onboard an oil tanker so as to minimize emissions at an economical cost.
KW - Hybrid energy
KW - Optimal sizing
KW - Particle Swarm Optimization
KW - Photovoltaic
KW - PSO with Time varying inertia weight (TVIW)
KW - Ship power system
KW - Triangular Particle Swarm optimization (TRIPSO)
UR - http://www.scopus.com/inward/record.url?scp=85048033840&partnerID=8YFLogxK
U2 - 10.1109/RDCAPE.2017.8358327
DO - 10.1109/RDCAPE.2017.8358327
M3 - Conference contribution
AN - SCOPUS:85048033840
T3 - 2017 Recent Developments in Control, Automation and Power Engineering, RDCAPE 2017
SP - 527
EP - 532
BT - 2017 Recent Developments in Control, Automation and Power Engineering, RDCAPE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Recent Developments in Control, Automation and Power Engineering, RDCAPE 2017
Y2 - 26 October 2017 through 27 October 2017
ER -
