Non-parametric joint chance-constrained OPF via maximum mean discrepancy penalization

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-...

书目详细资料
Main Authors:	Pareek, Parikshit, Nguyen, Hung D.
其他作者:	School of Electrical and Electronic Engineering
格式:	Journal Article
语言:	English
出版:	2022
主题:	Engineering::Electrical and electronic engineering::Electric power Joint Chance-Constrained Optimal Power Flow Maximum Mean Discrepancy
在线阅读:	https://hdl.handle.net/10356/161328

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