Optimisation of dynamic reactive power sources using mesh adaptive direct search
| Autor: | Jiaxin Ning, Junjian Qi, Kai Sun, Weihong Huang |
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| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
021103 operations research Computer science 020209 energy 0211 other engineering and technologies Energy Engineering and Power Technology Control engineering 02 engineering and technology Solver AC power Transient voltage suppressor Sizing Electric power system Power system simulation Control and Systems Engineering Eastern Interconnection 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Differential algebraic equation |
| Zdroj: | IET Generation, Transmission & Distribution. 11:3675-3682 |
| 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: | OpenAIRE |
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