دورية أكاديمية
Decision‐dependent distributionally robust integrated generation, transmission, and storage expansion planning: An enhanced Benders decomposition approach
| العنوان: | Decision‐dependent distributionally robust integrated generation, transmission, and storage expansion planning: An enhanced Benders decomposition approach |
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| المؤلفون: | Lu Qiu, Yangqing Dan, Xukun Li, Ye Cao |
| المصدر: | IET Renewable Power Generation, Vol 17, Iss 14, Pp 3442-3456 (2023) |
| بيانات النشر: | Wiley, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Renewable energy sources |
| مصطلحات موضوعية: | power system operation and planning, power system planning, power system reliability, power transmission planning, Renewable energy sources, TJ807-830 |
| الوصف: | Abstract Integrated generation, transmission, and storage expansion planning (IGT&SP) is the cornerstone to realize low‐carbon transition considering security constraints in the long run. A novel IGT&SP planning scheme is proposed to balance the planning cost, i.e. renewable energy sources (RESs) and energy storage systems, based on the distributionally ambiguity sets. A novel decision‐dependent ambiguity set is proposed to capture the relation between the uncertainties of RES output and long‐term planning. A two‐stage risk‐averse distributionally robust optimization is formulated, where the RESs, energy storage systems, and transmission line expansion are optimized in the first stage and a unit commitment problem is proposed in the second‐stage optimization to assess the performance of the expanded system. This problem is reformulated into a two‐stage optimization problem with complete mixed‐integer recourse, where the state variable is binary. A novel enhanced Benders decomposition algorithm is proposed to solve the IGT&SEP efficiently, where the cutting planes are generated by a primal‐dual relaxation of the recourse problem. Simulations are conducted on the modified IEEE‐30 test system and modified IEEE‐118 test system. Compared with adjustable robust optimization and L1‐norm Wasserstein distance‐based distributionally robust optimization, numerical results verify the effectiveness of the proposed IGT&SP, together with the solution algorithm. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1752-1424 1752-1416 |
| Relation: | https://doaj.org/toc/1752-1416; https://doaj.org/toc/1752-1424 |
| DOI: | 10.1049/rpg2.12859 |
| URL الوصول: | https://doaj.org/article/17dc6bd6ac084270a55ea790fc3ef869 |
| رقم الأكسشن: | edsdoj.17dc6bd6ac084270a55ea790fc3ef869 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 17521424 17521416 |
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| DOI: | 10.1049/rpg2.12859 |