Non-parametric joint chance-constrained OPF via maximum mean discrepancy penalization
The chance-constrained optimal power flow (CC-OPF) has gained prominence due to increased uncertainty in the power system. However, solving CC-OPF for general uncertainty distribution classes is challenging due to lack of analytical formulation of probabilistic constraints and cost-complexity trade-...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/161328 |