دورية أكاديمية
Optimal scheduling model using the IGDT method for park integrated energy systems considering P2G–CCS and cloud energy storage
العنوان: | Optimal scheduling model using the IGDT method for park integrated energy systems considering P2G–CCS and cloud energy storage |
---|---|
المؤلفون: | Lixin Wang, Jing Cheng, Xu Luo |
المصدر: | Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024) |
بيانات النشر: | Nature Portfolio, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Medicine LCC:Science |
مصطلحات موضوعية: | Medicine, Science |
الوصف: | Abstract To enhance the energy efficiency and financial gains of the park integrated energy system (PIES). This paper constructs a bi-level optimization model of PIES-cloud energy storage (CES) based on source-load uncertainty. Firstly, the scheduling framework of PIES with refined power-to-gas (P2G), carbon capture and storage (CCS) and CES coupling is constructed. Moreover, a bi-level optimization model with the upper tier subject being the PIES operator and the lower tier subject being the CES operator is established under the ladder-type carbon price mechanism with reward and punishment (LCPMRP). Then a proposed entropy weight adaptive information gap decision theory method (EAIGDT) is proposed to eliminate the subjectivity factor and retain its non-probabilistic features while dealing with multiple source-load uncertainties, and according to the operator’s risk preference to build risk-averse (RA) and risk-seeking (RS) strategies, respectively. Finally, the measured data in a certain area of Xinjiang verifies the proposed optimal scheduling method. The results show that the method can effectively take into account the interests of various subjects and realise PIES low-carbon economic operation. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2045-2322 |
Relation: | https://doaj.org/toc/2045-2322 |
DOI: | 10.1038/s41598-024-68292-z |
URL الوصول: | https://doaj.org/article/e3c158672f1e4a9380c2a675858e8751 |
رقم الأكسشن: | edsdoj.3c158672f1e4a9380c2a675858e8751 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20452322 |
---|---|
DOI: | 10.1038/s41598-024-68292-z |