| Author: | Cheung, Che-hung |
| Title: | Transmission network planning with the aid of probabilistic load flow analysis |
| Degree: | M.Sc. |
| Year: | 1997 |
| Subject: | Electric networks -- Data processing Electric power transmission -- Planning Electric power systems -- Load dispatching Hong Kong Polytechnic University -- Dissertations |
| Department: | Multi-disciplinary Studies |
| Pages: | vii, 62 leaves : ill. ; 30 cm |
| Language: | English |
| Abstract: | This dissertation project is to apply probabilistic load flow technique in transmission network planning. In this project, the probabilistic load flow problem is formulated based on linearisation of the AC load flow equation, with the application of the cumulants on random variables such that the convolution operations could be simplified to additions. Gram-Charlier series expansion is applied for the evaluation of the probability density function of the state variables and line flows and the probability of the random variable up to a specified value. Based on these formulations, a probabilistic load flow program is written by MATHLAB(R) which serves as the tool for transmission network planning. The network expansion requirements for an eight-bus system in years 2001 and 2002 under different load forecast scenarios (i.e. high, main and low forecasts) have been assessed based on this new technique. Comparisons with the results from the conventional method of using deterministic load flow analysis are also made. A new approach of selecting alternative reinforcement schemes based on the risk of circuit overloading is also discussed. The probabilistic load flow analysis which provides valuable information about the probability of circuit overloads and voltage violation would enable system planner in the planning of a dynamic power system that faced uncertainties. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b14370165.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.83 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/200/3855