• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Fakultet for ingeniørvitenskap (IV)
  • Institutt for marin teknikk
  • View Item
  •   Home
  • Fakultet for ingeniørvitenskap (IV)
  • Institutt for marin teknikk
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Optimal Scheduling and Loadsharing of a Hybrid Power Plant with Gensets and Battery Banks

Lu, Ying
Master thesis
Thumbnail
View/Open
no.ntnu:inspera:2525059.pdf (3.785Mb)
URI
http://hdl.handle.net/11250/2622976
Date
2019
Metadata
Show full item record
Collections
  • Institutt for marin teknikk [2418]
Abstract
The increased power demand of shipboard electrical power system has produced considerable environmental pollution such as heavy fuel consumption and the emission of CO2 and

NOx. In response to the degradation in the global environment, the maritime industry is experiencing a technical renovation at an ever-changing pace. The hybrid power system (HPS)

which is a promising alternative to reduce fuel consumption, has aroused tremendous research interests. It takes the advantages of both a traditional electric-driven system and the

energy storage devices (ESD), making it has not only higher energy efficiency but also lower

noise and vibration level.

For a HPS, the demand for higher reliability and availability is higher than before. Therefore,

a robust and smart power and energy management system (PMS/EMS) is required to control

the power generation and distribution. PMS protects equipment from failure and reduces

power loss, more importantly, maximises the performance through interaction with other

control systems.

This thesis looks into the hybrid marine power system and uses the PMS to address the

scheduling of gensets and Energy Storage System (ESS). Firstly, the configuration and mechanisms of the hybrid marine power system are described. The HPS model is developed in

Simulink, including the genset, bus, ESS, and so forth. Secondly, the peak shaving strategy

and optimal load sharing algorithms are proposed. The peak shaving strategy adopts the

concept of energy band limited by ESS energy. The load sharing algorithm is based on the

four working modes among the gensets and ESS. Lastly, two case studies of HPS subjecting

to different level time-varying load are presented. The results show that good performances

are achieved regarding load sharing with the mission of fuel consumption minimisation.
Publisher
NTNU

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit