| Author: | Shao, Puguang |
| Title: | Improved Newton-Raphson method for power flow solution |
| Advisors: | Xu, Zhao (EE) |
| Degree: | M.Sc. |
| Year: | 2015 |
| Subject: | Electric power transmission. Electric power systems. Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Electrical Engineering |
| Pages: | viii, 70 pages : illustrations |
| Language: | English |
| Abstract: | Newton-Raphson method can solve power flow problem with high efficiency Which has been extensively utilized in power system planning, operation and accident investigation for several decades. It is powerful high efficiency and performance compare to other traditional methods. However, it may not keep up with the development of power system. Such shortcomings of NR method are bubbling to the surface. In modern times, the power system network expands more complicated because such alternative resources type generator (like wind energy, solar energy, etc.) with large scale battery connects to the power grid which causes the power system more fluctuating. In that situation, the traditional NR method may not solve those cases, due to low converge rate and long computation time. Nevertheless, this problem could be solved by the second order NR method which base on the first three terms of Tylor expansion. It will have higher convergent rate and lesser iterations. Computation speed is increased. In this thesis, the power network model is described. Three commonly used methods are discussed. Which are the Gauss-Seidel method, the Newton-Raphson method and the fast-decoupled method. Then an improved method is described. The improved NR method and tradition NR method has been tested on the IEEE 14, 30, 57, 118 case system for comparison. Which shows that the improved method has higher convergent rate and computation speed than the traditional one. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b28254107.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.01 MB | Adobe PDF | View/Open |
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