A Data-Driven Approach to Improve Wind Dispatchability-Reference-Cited by-同舟云学术

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A Data-Driven Approach to Improve Wind Dispatchability

Published:2017-01 Issue:1 Volume:32 Page:421-429
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Qiu Feng,Li Zhigang,Wang Jianhui

Funder

U.S. Department of Energy

Office of Electricity Delivery and Reliable Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://ieeexplore.ieee.org/ielaam/59/7792237/7453153-aam.pdf

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flexibility Characterization of Sustainable Power Systems in Demand Space: A Data-Driven Inverse Optimization Approach;IEEE Transactions on Power Systems;2024-09

2. Chance-Constrained Joint Dispatch of Generation and Wind Curtailment-Load Shedding Schemes With Large-Scale Wind Power Integration;IEEE Transactions on Sustainable Energy;2023-10

3. Admissible Region of Renewable Generation Ensuring Power Flow Solvability in Distribution Networks;IEEE Systems Journal;2022-09

4. Fast Var Margin Evaluation of High Wind Penetration Power Systems: An Objective-Oriented Dimensionality Reduction Approximation Approach;IEEE Transactions on Sustainable Energy;2022-07

5. Building Load Control Using Distributionally Robust Chance-Constrained Programs with Right-Hand Side Uncertainty and the Risk-Adjustable Variants;INFORMS Journal on Computing;2022-05

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