Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Faculty of Engineering | en_US |
| dc.contributor.advisor | Cheng, K. W. Eric (EE) | - |
| dc.creator | Tam, Serena Dorothy Man Hong | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/8059 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Optimisation of micro-grid system | en_US |
| dcterms.abstract | The surge in electricity demand in the 21st century and aging of equipment in power plants arouse concerns for overloading of generators and the need to build new plants While overloading of generator may lead to power outage, building of new plants raises criticisms in social, economical and environmental contexts. Load balancing through peak shaving and valley filling helps to prevent overload condition and maximise generator efficiency. Electricity is stored during low load periodsand delivered to end-users at peak load periods. Demand load profile is flattened and peak load is cut down which extend the lifespan of power plant equipment and defers new plants construction. Effects of various approaches in achieving load levelling are examined. Demand-side management (DSM) is implemented through demand response (DR) to influence the consumption behaviour of electric power users. Feasibility of applying alternative energy resources to alleviate the burden of generator is explored. Models are constructed to simulate different scenarios of load shifting using rechargeable batteries in electric vehicles (EVs). The bi-directional energy storage device has a great potential in load balancing, for its mobile characteristic has added flexibility to the device. Micro-grid adopting small scale generation system and EV is studied. Renewable energy is exploited in the generation system which helps to reduce pollution as the demand of electricity produced using fossil fuels is lightened. The performance of micro-grid is optimised to encourage load levelling. Current trend and prediction of future works are analysed and proposed. | en_US |
| dcterms.extent | xiv , 92 pages : illustrations (some color) | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2014 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Smart power grids | en_US |
| dcterms.LCSH | Electric power distribution. | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b28183113.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 3.03 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/8059