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-...
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Main Authors: | , |
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格式: | Article |
語言: | English |
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2022
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在線閱讀: | https://hdl.handle.net/10356/161328 |
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機構: | Nanyang Technological University |
語言: | English |