Optimisation of dynamic reactive power sources using mesh adaptive direct search
| Autor: | Weihong Huang, Kai Sun, Junjian Qi, Jiaxin Ning |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
dynamic reactive power sources
mesh adaptive direct search algorithm fault‐induced delayed voltage recovery transient voltage instability issues nonlinear optimisation problem nonconvexity Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841 |
| Zdroj: | IET Generation, Transmission & Distribution, Vol 11, Iss 15, Pp 3675-3682 (2017) |
| Druh dokumentu: | article |
| ISSN: | 1751-8695 1751-8687 |
| DOI: | 10.1049/iet-gtd.2016.1912 |
| Popis: | Dynamic reactive power sources can be used to effectively mitigate the fault‐induced delayed voltage recovery and transient voltage instability issues. When many var sources need to be installed at planned locations, optimisation of their sizes is a complicated non‐linear optimisation problem due to its non‐convexity and the dependence of the constraint on time‐series trajectories of post‐fault voltages. Solving this optimal sizing problem needs to utilise both a non‐linear optimisation solver and a power system differential‐algebraic equation solver. This study proposes a new approach for solving this problem under both a single contingency and multiple contingencies by using the mesh adaptive direct search algorithm interfaced with a power system simulator. The proposed approach is validated by case studies on a North American Eastern Interconnection model to optimise the sizes of planned STATCOMs against critical contingencies. |
| Databáze: | Directory of Open Access Journals |
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