A cost-effective and emission-aware power management system for ships with integrated full electric propulsion

被引:90
作者
Kanellos, Fotis D. [1 ]
Anvari-Moghaddam, Amjad [2 ]
Guerrero, Josep M. [2 ]
机构
[1] Tech Univ Crete, Dept Prod Engn & Management, GR-73100 Khania, Greece
[2] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
关键词
Electric propulsion; Energy management; GHG emissions; Particle swarm optimization; Ship energy efficiency; ENERGY-STORAGE; LIMITATION;
D O I
10.1016/j.epsr.2017.05.003
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
The extensive exploitation of electric power in ships enables the development of more efficient and environmentally friendlier ships, as it allows for a more flexible ship power system operation and configuration. In this paper, an optimal power management method for ship electric power systems comprising integrated full electric propulsion, energy storage and shore power supply facility is proposed. The proposed optimization method is exploiting an interactive approach based on particle swarm optimization (PSO) method and a fuzzy mechanism to improve the computational efficiency of the algorithm. The proposed fuzzy-based particle swarm optimization (FPSO) algorithm aims at minimizing the operation cost, limiting the greenhouse gas (GHG) emissions and satisfying the technical and operational constraints of the ship. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:63 / 75
页数:13
相关论文
共 35 条
[1]
Anvari-Moghaddam A., 2016, 42 ANN C IEEE IND EL
[2]
ANVARIMOGHADDAM A, 2012, RENEW SUST ENERG REV, V16, P1268
[3]
All-Electric Ship Energy System Design Using Classifier-Guided Sampling [J].
Backlund, Peter B. ;
Seepersad, Carolyn Conner ;
Kiehne, Thomas M. .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2015, 1 (01) :77-85
[4]
Simulation-Based Modeling and Power Management of All-Electric Ships Based on Renewable Energy Generation Using Model Predictive Control Strategy [J].
Banaei, Mohamad Reza ;
Alizadeh, Rana .
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2016, 8 (02) :90-103
[5]
Shipboard Power Systems Reconfiguration-A Cyber-Physical Framework For Response Time Analysis [J].
Bose, Sayak ;
Natarajan, Balasubramanium ;
Scoglio, Caterina M. ;
Schulz, Noel N. ;
Gruenbacher, Don M. ;
Das, Sanjoy .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (01) :439-449
[6]
C. Technologies, 2011, INT J COMPUT SCI COM, V4, P4
[7]
Feng X., 2010, P 2010 IEEE PES GEN, P4760
[8]
A Multi-Agent System Framework for Real-Time Electric Load Management in MVAC All-Electric Ship Power Systems [J].
Feng, Xianyong ;
Butler-Purry, Karen L. ;
Zourntos, Takis .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (03) :1327-1336
[9]
Energy storage in the energy transition context: A technology review [J].
Gallo, A. B. ;
Simoes-Moreira, J. R. ;
Costa, H. K. M. ;
Santos, M. M. ;
Moutinho dos Santos, E. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 65 :800-822
[10]
Gertsos S.A., 2003, P 8 INT MAR DES C IM