Power systems optimization under uncertainty: A review of methods and applications
Electric power systems and the companies and customers that interact with them are
experiencing increasing levels of uncertainty due to factors such as renewable energy …
experiencing increasing levels of uncertainty due to factors such as renewable energy …
Active integration of electric vehicles into distribution grids: Barriers and frameworks for flexibility services
Distribution system operators face a challenging environment marked by increased
decentralization, digitalization, and the decarbonization of transport and heating sectors. In …
decentralization, digitalization, and the decarbonization of transport and heating sectors. In …
Uncertainty handling techniques in power systems: A critical review
Integration of renewable generations with electrical power systems has gained considerable
attention in recent years due to environmental and economic benefits. However, this …
attention in recent years due to environmental and economic benefits. However, this …
Distributionally robust joint chance-constrained dispatch for integrated transmission-distribution systems via distributed optimization
This paper focuses on the distributionally robust dispatch for integrated transmission-
distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually …
distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually …
Wasserstein distributionally robust chance-constrained optimization for energy and reserve dispatch: An exact and physically-bounded formulation
In the context of transition towards sustainable, cost-efficient and reliable energy systems,
the improvement of current energy and reserve dispatch models is crucial to properly cope …
the improvement of current energy and reserve dispatch models is crucial to properly cope …
A survey on conic relaxations of optimal power flow problem
Conic optimization has recently emerged as a powerful tool for designing tractable and
guaranteed algorithms for power system operation. On the one hand, tractability is crucial …
guaranteed algorithms for power system operation. On the one hand, tractability is crucial …
Toward distributed energy services: Decentralizing optimal power flow with machine learning
R Dobbe, O Sondermeijer… - … on Smart Grid, 2019 - ieeexplore.ieee.org
The implementation of optimal power flow (OPF) methods to perform voltage and power flow
regulation in electric networks is generally believed to require extensive communication. We …
regulation in electric networks is generally believed to require extensive communication. We …
Tractable convex approximations for distributionally robust joint chance-constrained optimal power flow under uncertainty
Uncertainty arising from renewable energy results in considerable challenges in optimal
power flow (OPF) analysis. Various chance-constrained approaches are proposed to …
power flow (OPF) analysis. Various chance-constrained approaches are proposed to …
Distribution electricity pricing under uncertainty
Distribution locational marginal prices (DLMPs) facilitate the efficient operation of low-
voltage electric power distribution systems. We propose an approach to internalize the …
voltage electric power distribution systems. We propose an approach to internalize the …
Distributionally robust chance-constrained generation expansion planning
F Pourahmadi, J Kazempour… - … on Power Systems, 2019 - ieeexplore.ieee.org
This article addresses a centralized generation expansion planning problem, accounting for
both long-and short-term uncertainties. The long-term uncertainty (demand growth) is …
both long-and short-term uncertainties. The long-term uncertainty (demand growth) is …