1. State Key Laboratory of Advanced Electromagnetic Technology,Wuhan,China
2. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology,Wuhan,China
3. Contribution: Conceptualization, Methodology
4. China Electric Power Planning & Engineering Institute,Beijing,China
5. Contribution: Conceptualization, Supervision
6. Contribution: Methodology
7. Contribution: Software, Validation, Project administration
8. Contribution: Validation, Formal analysis
9. Contribution: Validation, Investigation
10. Contribution: Resources, Data curation, Visualization
纸质出版:2026
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Shichang Cui, Jian Qiu, Zhengwei Ren, 等. Planning of Grid-Interactive Flexibility Resources Under Carbon-Emission Constraints[J]. IET Smart Energy Systems, 2026,2(1).
Shichang Cui, Jian Qiu, Zhengwei Ren, et al. Planning of Grid-Interactive Flexibility Resources Under Carbon-Emission Constraints[J]. IET Smart Energy Systems, 2026, 2(1).
Shichang Cui, Jian Qiu, Zhengwei Ren, 等. Planning of Grid-Interactive Flexibility Resources Under Carbon-Emission Constraints[J]. IET Smart Energy Systems, 2026,2(1). DOI: 10.1049/ses2.70024.
Shichang Cui, Jian Qiu, Zhengwei Ren, et al. Planning of Grid-Interactive Flexibility Resources Under Carbon-Emission Constraints[J]. IET Smart Energy Systems, 2026, 2(1). DOI: 10.1049/ses2.70024.
High renewable penetration and stringent decarbonisation targets are reshaping power system planning. Although carbon pricing and emission constraints are widely adopted
most existing planning models represent carbon incentives in a mechanism-specific or reduced-form manner
making policy comparisons inconsistent and obscuring how cooperation and controllable transfers respond under different carbon designs. This paper develops a mechanism-switchable carbon policy representation under unified emission accounting
enabling consistent comparisons across major carbon policies. An integrated planning–operation co-optimisation model is formulated to capture generation and network expansion
controllable interarea transfers
storage and demand-side flexibility and chronological operational constraints. Interarea cooperation is modelled explicitly through reserve procurement
mutual-aid costs and coordination frictions
allowing the marginal value of cooperation to be quantified in a policy-consistent way. A multi-cut L-shaped Benders decomposition ensures computational tractability. Case studies on an IEEE 118-bus three-area system show that a moderate carbon tax reduces emissions by 45.7% mainly via photovoltaic expansion
whereas deep decarbonisation requires a diversified portfolio and stronger interarea deliverability
revealing a policy-dependent role of controllable flows.
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