Carbon-Aware Optimal Power Flow
To facilitate effective decarbonization of the electric energy sector, this paper introduces a generic Carbon-aware Optimal Power Flow (C-OPF) methodology for power system decision-making that considers the active management of the grid's carbon footprints. Built upon conventional Optimal Power Flow (OPF) models, the proposed C-OPF model further integrates carbon emission flow equations and constraints, as well as carbon-related objectives, to co-optimize electric power flow and carbon emission flow across the power grid. Essentially, the proposed C-OPF can be viewed as a carbon-aware generalization of OPF. Moreover, this paper rigorously establishes the conditions that guarantee the feasibility and solution uniqueness of the carbon emission flow equations, and it proposes a reformulation technique to address the critical issue of undetermined power flow directions in the C-OPF model. Furthermore, two novel carbon footprint models for energy storage systems are developed and incorporated into the C-OPF method. Numerical simulations demonstrate the characteristics and effectiveness of the C-OPF method, in comparison with conventional OPF solutions.
Authors
- Xu Andy Sun (ORCID: https://orcid.org/0000-0003-3917-9418)
- Na Li (ORCID: https://orcid.org/0000-0001-9545-3050)
- Xin Chen (ORCID: https://orcid.org/0000-0002-1357-3970)
- Weidong Shi (ORCID: https://orcid.org/0000-0002-9005-3071)
Institutions
- Harvard University (US)
- Singularity University (US)
- Massachusetts Institute of Technology (US)
- Texas A&M University (US)
Publication Details
- Journal
- IEEE Transactions on Power Systems
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1109/tpwrs.2024.3514516
- Citations
- 20
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 4.17