DC Optimal Power Flow With Joint Chance Constraints
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2020.3004023
Abstract: Managing uncertainty and variability in power injections has become a major concern for power system operators due to increasing levels of fluctuating renewable energy connected to the grid. This work addresses this uncertainty via a… read more here.
Keywords: optimal power; power flow; power; chance constrained ... See more keywords
Tractable Convex Approximations for Distributionally Robust Joint Chance Constrained Optimal Power Flow under Uncertainties
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2021.3115521
Abstract: Uncertainties arising from renewable energy bring huge challenges in optimal power flow (OPF) analysis. Various chance constrained approaches are proposed to manage the uncertainties in OPF models. However, most existing approaches assume that the probability… read more here.
Keywords: chance; chance constrained; convex approximations; optimal power ... See more keywords
Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3150412
Abstract: This paper focuses on the distributionally robust dispatch for integrated transmission-distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually require synchronization of all subproblems, which could be hard to scale, resulting in the under-utilization… read more here.
Keywords: distributionally robust; joint chance; chance constrained; systems via ... See more keywords