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 …
A review on the integration of probabilistic solar forecasting in power systems
As one of the fastest growing renewable energy sources, the integration of solar power
poses great challenges to power systems due to its variable and uncertain nature. As an …
poses great challenges to power systems due to its variable and uncertain nature. As an …
Corrective control to handle forecast uncertainty: A chance constrained optimal power flow
Higher shares of electricity generation from renewable energy sources and market
liberalization is increasing uncertainty in power systems operation. At the same time …
liberalization is increasing uncertainty in power systems operation. At the same time …
Distributionally robust negative-emission optimal energy scheduling for off-grid integrated electricity-heat microgrid
This article proposes a distributionally robust chance-constrained (DRCC) negative-
emission optimal energy scheduling scheme for the off-grid integrated electricity-heat …
emission optimal energy scheduling scheme for the off-grid integrated electricity-heat …
Data-based distributionally robust stochastic optimal power flow—Part II: Case studies
This is the second part of a two-part paper on data-based distributionally robust stochastic
optimal power flow. The general problem formulation and methodology have been …
optimal power flow. The general problem formulation and methodology have been …
[HTML][HTML] A generalized framework for chance-constrained optimal power flow
Deregulated energy markets, demand forecasting, and the continuously increasing share of
renewable energy sources call–among others–fora structured consideration of uncertainties …
renewable energy sources call–among others–fora structured consideration of uncertainties …
Chance-constrained unit commitment with N-1 security and wind uncertainty
As renewable wind energy penetration rates continue to increase, one of the major
challenges facing grid operators is the question of how to control transmission grids in a …
challenges facing grid operators is the question of how to control transmission grids in a …
Chance-constrained optimal power flow with non-parametric probability distributions of dynamic line ratings
Abstract Compared to Seasonal Line Rating (SLR), Dynamic Line Rating (DLR) allows for
higher power flows on overhead transmission lines, depending on the actual weather …
higher power flows on overhead transmission lines, depending on the actual weather …
Variance-aware optimal power flow: Addressing the tradeoff between cost, security, and variability
D Bienstock, A Shukla - IEEE Transactions on Control of …, 2019 - ieeexplore.ieee.org
Recent work has studied modifications to DC optimal power flow (DC-OPF) computations so
as to better account for risk arising as a result of stochastic variation in the output of …
as to better account for risk arising as a result of stochastic variation in the output of …
Low-carbon economic dispatch considering wind curtailment: A distributionally robust chance-constrained approach
L Yang, Z Li, Y Xu, H Sun - CSEE Journal of Power and Energy …, 2024 - ieeexplore.ieee.org
In low-carbon transition, carbon emission will be an additional concern in power system
dispatch under uncertainty. In this paper, we propose a distributionally robust chance …
dispatch under uncertainty. In this paper, we propose a distributionally robust chance …