Economic Load Dispatch Constrained by Wind Power Availability: A Here-and-Now Approach

By Xian Liu, Wilsun Xu. IEEE Transactions on Sustainable Energy, 2010

204 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/db09a4936efd3b2839214a236f54688993563fb5

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Citations in the corpus

A Novel Probabilistic Optimal Power Flow Model With Uncertain Wind Power Generation Described by Customized Gaussian Mixture Model (2016, unknown): “Therefore, the probability of the event that the total conventional generation plus WPG is not less than the total load being larger than a given value has been used in [11] as a constraint, but the objective function is still deterministic so that the influence of the WPG uncertainties on the total”
Robust Energy Management for Microgrids With High-Penetration Renewables (2012, background): “Single-period chanceconstrained ED problems for RES have been studied in [4], yielding probabilistic guarantees that the load will be ser ved.”
Distributionally Robust Co-Optimization of Energy and Reserve Dispatch (2016, methodology): “Provided with the PDFs of wind power, the unit commitment, economic dispatch and spinning reserve can be scheduled in the framework of stochastic optimization (SO), including the scenario based models [13]–[17] and the chance-constraints based models [18]–[21].”
High-Level Penetration of Renewable Energy Sources Into Grid Utility: Challenges and Solutions (2020, methodology): “A similar model is proposed [210] in which wind generation is considered as constraint in optimization problem and is analyzed with Lagrange multiplier approach.”
Distributionally Robust Chance Constrained Optimal Power Flow with Renewables: A Conic Reformulation (2018, background): “For example, [5], [28], [38] assumed that the prior distributions of renewables are Gaussian while [39] assumed that it is Weibull.”