Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Faculty of Engineering | en_US |
| dc.creator | Chai, Songjian | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/7303 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Probabilistic load flow analysis for modern power systems | en_US |
| dcterms.abstract | The computation of probabilistic load flow is an important task in modern power system analysis. It is helpful to get a comprehensive assessment of the performance of the entire electrical network under all kinds of operation conditions and to make a quantitative analysis of the weak points of the network. The obtained information has its significant reference value in the research and application under the ever changing environments due to the deregulation of power systems and increased penetration of wind and other renewable energies. Also it can help the dispatch department and system planners to make quick and accurate decisions. The typical four techniques of PLF computation that are widely used nowadays are reviewed in this thesis, based on their algorithms and formulations, the programs for different methods are developed using MATLAB software. In addition, based on the programs of the proposed four methods, a software package called "Probabilistic Load Flow Analysis Software v.1.0" is developed in this project that aims to help the system planners or users to get the results of PLF more easily and quickly. | en_US |
| dcterms.extent | viii, 76 leaves : ill. (some col.) ; 30 cm. | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2012 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Electric power systems -- Load dispatching. | en_US |
| dcterms.LCSH | Electric power systems -- Load dispatching -- Data processing. | 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 | |
|---|---|---|---|---|
| b26492982.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.81 MB | Adobe PDF | View/Open |
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