Published November 2019 | Version v1
Journal article

Hybrid algorithm for optimal operation of hybrid energy systems in electric ferries

  • 1. Australian Maritime College, University of Tasmania, Newnham, TAS, 7248 (Australia)

Description

Highlights: • Hybrid meta-heuristic algorithm-based PMS for hybrid ferries was proposed. • Performance of single and hybrid meta-heuristic PMS in hybrid ferries was compared. • Effects of battery charging power on engine's fuel consumption was discussed. • Hybrid algorithm provided up to 3.14% fuel savings compared to single algorithm. • Uniform charging of the battery over cruising period provided better fuel savings. -- Abstract: The move towards electrification of marine vessels enables the development of more efficient vessels by reducing fuel consumption and emissions. This includes incorporating electrical energy sources, storage systems and interfacing power electronic converters which increase system complexity. Therefore, an accurate and efficient power management system (PMS) is essential to achieve the optimum operation. This study aims to develop a novel hybrid meta-heuristic algorithm-based PMS for the fuel savings of hybrid electric ferries. The ferry power system used in this study comprises two diesel generator sets and a battery storage system. The proposed hybrid PMS method applies an interactive approach on the basis of a grey wolf optimizer (GWO) and fuzzy expert system to improve the computational efficiency of the algorithm. Measured load data from an existing short-haul ferry are used in the simulation under two load scenarios: normal and high load demands. The proposed fuzzy logic-grey wolf optimizer (FL-GWO) aims to minimize the operating cost of the proposed system while satisfying all operational and technical constraints of the ferry. Results show that the proposed FL-GWO provided a more accurate optimal solution set with less standard deviation than the GWO. The proposed method realized up to 3.14% and 1.81% fuel savings in normal- and high-load scenarios, respectively, compared with GWO. Moreover, the sensitivity analysis indicates that charging the battery from the onboard generators in a more uniform rate over the entire cruising period reduces the fuel consumption.

Additional details

Identifiers

DOI
10.1016/j.energy.2019.115923;
PII
S036054421931607X;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
187
Journal Page Range
vp.
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55014844
Subject category
S25: ENERGY STORAGE; S42: ENGINEERING;
Descriptors DEI
ALGORITHMS; BATTERY CHARGING; COMPUTERIZED SIMULATION; ENERGY EFFICIENCY; ENERGY SOURCES; ENERGY STORAGE SYSTEMS; FUEL CONSUMPTION; FUZZY LOGIC; PERFORMANCE; POWER SYSTEMS; SENSITIVITY ANALYSIS
Descriptors DEC
EFFICIENCY; ENERGY CONSUMPTION; ENERGY SYSTEMS; MATHEMATICAL LOGIC; SIMULATION

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.