Effective Risk-limiting Carbon Emission Aware Economic Dispatch: An Algorithmic Perspective

Author:

Sun Jian1ORCID,Zhang Yaoyu1ORCID,Wu Chenye2ORCID

Affiliation:

1. Institute for Interdisciplinary Information Sciences, Tsinghua University, China

2. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China

Funder

National Natural Science Foundation of China

Science, Technology and Innovation Commission of Shenzhen Municipality

Publisher

ACM

Reference46 articles.

1. U.S. Energy Information Administration. 2020. How much coal natural gas or petroleum is used to generate a kilowatthour of electricity? U.S. Energy Information Administration. 2020. How much coal natural gas or petroleum is used to generate a kilowatthour of electricity?

2. U.S. Energy Information Administration . 2022. EIA DATA SETS. https://www.eia.gov/opendata/qb.php?category=3390101 , Access date = February, 23 , 2022 . U.S. Energy Information Administration. 2022. EIA DATA SETS. https://www.eia.gov/opendata/qb.php?category=3390101, Access date = February, 23, 2022.

3. A probabilistic economic dispatch model and methodology considering renewable energy, demand and generator uncertainties

4. Stephen Boyd and Lieven Vandenberghe . 2007. Localization and cutting-plane methods. From Stanford EE 364b lecture notes(2007). https://stanford.edu/class/ee364b/lectures.html Access Date : April 21, 2022 . Stephen Boyd and Lieven Vandenberghe. 2007. Localization and cutting-plane methods. From Stanford EE 364b lecture notes(2007). https://stanford.edu/class/ee364b/lectures.html Access Date: April 21, 2022.

5. Analytic center cutting-plane method. https://see.stanford.edu/materials/lsocoee364b/06-accpm_notes.pdf;Boyd Stephen;Access Date: Feburary,2008

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