A Strengthened Primal-Dual Decomposition Algorithm for Solving Electricity Market Pricing With Revenue-Adequacy and FFR Constraints-Reference-Cited by-同舟云学术

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A Strengthened Primal-Dual Decomposition Algorithm for Solving Electricity Market Pricing With Revenue-Adequacy and FFR Constraints

Published:2024-09 Issue:3 Volume:2 Page:379-391
ISSN:2771-9626
Container-title:IEEE Transactions on Energy Markets, Policy and Regulation
language:
Short-container-title:IEEE Trans. on Enrgy Mrkts, Pol and Reg

Author:

Goudarzi Hamed¹^ORCID,Hesamzadeh Mohammad Reza²^ORCID,Bunn Derek³^ORCID,Fotuhi-Firuzabad Mahmud¹^ORCID,Shahidehpour Mohammad⁴^ORCID

Affiliation:

1. Center of Excellence in Power System Management and Control, Sharif University of Technology, Tehran, Iran

2. School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

3. Department of Management Science and Operations, London Business School, London, U.K.

4. Electrical and Computer Engineering Department, Illinois Institute of Technology, Chicago, IL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9794458/10679512/10423810.pdf?arnumber=10423810

Reference38 articles.

1. Experience with PJM market operation, system design, and implementation

2. Security constrained unit commitment and economic dispatch through benders decomposition: A comparative study

3. A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem

4. Paving the Way: A Future Without Inertia Is Closer Than You Think

5. Forecast System Inertia Condition and Its Impact to Integrate More Renewables

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