A Robust Approach to Chance Constrained Optimal Power Flow With Renewable Generation

• Published in: IEEE transactions on power systems Vol. 31; no. 5; pp. 3840 - 3849
• Main Authors: Lubin, Miles, Dvorkin, Yury, Backhaus, Scott
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Chance constrained optimization; Computational modeling; Constraints; Data buses; distributionally robust optimization; Electric utilities; ENERGY PLANNING, POLICY, AND ECONOMY; Energy Sciences; Generators; Mathematical models; Minimum cost; optimal power flow; Optimization; optimization methods; Power flow; power system economics; POWER TRANSMISSION AND DISTRIBUTION; Programming; Robustness; Uncertainty; Wind forecasting; wind power integration; wind power uncertainty; wind power variability

Optimal Power Flow (OPF) dispatches controllable generation at minimum cost subject to operational constraints on generation and transmission assets. The uncertainty and variability of intermittent renewable generation is challenging current deterministic OPF approaches. Recent formulations of OPF u...