Two‐stage chance‐constrained unit commitment based on optimal wind power consumption point considering battery energy storage-Reference-Cited by-同舟云学术

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Two‐stage chance‐constrained unit commitment based on optimal wind power consumption point considering battery energy storage

Published:2020-07-22 Issue:18 Volume:14 Page:3738-3749
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Chen Zhe¹^ORCID,Li Zhengshuo²^ORCID,Guo Chuangxin¹^ORCID,Ding Yi¹,He Yubin³

Affiliation:

1. College of Electrical Engineering, Zhejiang UniversityHangzhou310027People's Republic of China

2. School of Electrical Engineering, Shandong UniversityJinan250061People's Republic of China

3. Power Dispatching and Control Center of China Southern Power GridGuangzhou510623People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2019.1492

Reference43 articles.

1. Stochastic Optimization for Unit Commitment—A Review

2. Large‐scale unit commitment under uncertainty: an updated literature survey;Ackooij W.;Ann. Oper. Res.,2018

3. Power‐capacity and ramp‐capability reserves for wind integration in power‐based UC;Morales‐España G.;IEEE Trans. Sust. Energy,2016

4. Lotfi M. João Catalão P. S. Javadi M. S. et al.: ‘Demand response program implementation for day‐ahead power system operation’.2019 IEEE Milan PowerTech Milan Italy 2019 pp.1–6

5. Wind power forecasting uncertainty and unit commitment

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2. Robust Kernel Density Estimation Based Data-Driven Optimal Scheduling for Power Systems Considering Data Errors and Uncertainties of Renewable Energy;IEEE Access;2024

3. A Two-Stage Robust Optimization Method for Microgrids Considering Wind Power and Photovoltaic Uncertainties;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

4. Collaborative optimization strategy of source‐grid‐load‐storage considering dynamic time series complementarity of multiple storages;IET Generation, Transmission & Distribution;2023-05-25

5. Wind Power Consumption Model Based on the Connection between Mid- and Long-Term Monthly Bidding Power Decomposition and Short-Term Wind-Thermal Power Joint Dispatch;Energies;2022-09-30

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