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Improved Extreme-Scenario Extraction Method For The Economic Dispatch Of Active Distribution Networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhang, Yipu Ai, Xiaomeng Fang, Jiakun Wen, Jinyu |
| Copyright Year | 2009 |
| Abstract | Optimisation techniques with good characterisation of the uncertainties in modern power system enable the system operators well trade-off between security and sustainability. This study proposes the extreme-scenario extraction-based robust optimisation method for the economic dispatch of active distribution network with renewables. The extreme scenarios are selected from the historical data using the improved minimum volume enclosing ellipsoid (MVEE) algorithm to guarantee the security of system operation while avoid frequently switching the transformer tap. It is theoretically proved that if the decision can be adaptive to the selected extreme scenarios, it can be robust to all the possible scenarios. Simulation results demonstrate that the proposed improved MVEE algorithm significantly reduces the number of scenarios, so that the computational burden is dramatically cut down. Additionally, compared to the existing robust optimisation approach, the proposed method is less conservative for the smaller size of the uncertainty set. |
| Starting Page | 1560 |
| Ending Page | 1564 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| DOI | 10.1049/joe.2017.0593 |
| Volume Number | 2017 |
| Alternate Webpage(s) | https://vbn.aau.dk/ws/portalfiles/portal/271965809/JOE.2017.0593.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
