Abstract
This paper proposes an optimal power flow (OPF) method taking into account small signal stability as additional constraints. Particle swarm optimization (PSO) algorithm is adopted to realize the OPF process. The method is programmed in MATLAB and implemented to a nine-bus test power system which has large-scale wind power integration. The results show the ability of the proposed method to find optimal (or near-optimal) operating points in different cases. Based on these results, the analysis of the impacts of wind power integration on the system small signal stability has been conducted.
| Original language | English |
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| Title of host publication | Proceedings of the 45th International Universities Power Engineering Conference, UPEC 2010 |
| Number of pages | 6 |
| Publisher | IEEE Press |
| Publication date | Sept 2010 |
| Pages | 1-6 |
| ISBN (Print) | 978-1-4244-7667-1 |
| Publication status | Published - Sept 2010 |
| Event | 45th International Universities Power Engineering Conference, UPEC 2010 - Cardiff, United Kingdom Duration: 31 Aug 2010 → 3 Sept 2010 |
Conference
| Conference | 45th International Universities Power Engineering Conference, UPEC 2010 |
|---|---|
| Country/Territory | United Kingdom |
| City | Cardiff |
| Period | 31/08/2010 → 03/09/2010 |
Keywords
- Optimal power flow (OPF)
- Small signal Stability
- Particle swarm optimization (PSO)
- Wind power Integration