Congestion is always a serious problem in power system. In order to solve the kind of thorny problem, experts employ various methods for relieving congested difficulties. There are many new power-electronics-based devices using to solve the difficult problems recently. Unified Power Flow Controller (UPFC) is the most powerful device of these devices. The UPFC is capable of providing not only active and reactive control but also adaptive voltage amplitude control. By way of UPFC, power flow in power system is changed. Congestion problems are solved easily. A new model is proposed in this thesis to improve existing power-based model by using the Norton Equivalent Theorem. The proposed model can be integrated with the Equivalent Current Injection (ECI) power flow model easily. By ECI algorithm, it is much quickly and precisely to implement power flow calculations. By making use of Genetic algorithm (GA), the optimal location of UPFC in power system will be obtained. In the solution process, GA will be integrated with the nonlinear interior point OPF to select the optimal control parameters and UPFC sitting to solve congestion problems. Tests under MATLAB (The Math Works, Inc.) will be used to show the effectiveness of the proposed algorithms in solving a modified OPF problem for real congestion control under deregulation.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0630104-161752 |
| Date | 30 June 2004 |
| Creators | Hung, Wen-cha |
| Contributors | F.S.Chung, S.J.Chen, Whei-Min Lin |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630104-161752 |
| Rights | campus_withheld, Copyright information available at source archive |
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