Abstract
In order to optimize the operation strategies of a variety of schedulable equipment such as soft open point and energy storage system and to improve the operation economy of active distribution networks, we propose a two-stage optimization method of soft open point and energy storage system based on interval optimization. First, the proposed optimization method is described. Secondly, a two-stage interval optimization model for soft open point and energy storage system in active distribution networks is established. Then, the column and constraint generation algorithm is used to solve the model. Finally, case studies on the modified IEEE 33-node system and comparisons with the deterministic optimization approach are conducted to verify the effectiveness of the proposed method. The results show that the proposed method can be adopted to fully deal with the uncertainties of outputs of distributed generation and load demands, and the operation economy of active distribution network can be effectively improved.
| Translated title of the contribution | Two-stage Optimization Method of Soft Open Point and Energy Storage System in Distribution Network Based on Interval Optimization |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 45-54 |
| Number of pages | 10 |
| Journal | Gaodianya Jishu/High Voltage Engineering |
| Volume | 47 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 31 Jan 2021 |
| Externally published | Yes |
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