Academic Journal
An IGDT‐stochastic model for low‐carbon economic dispatch of integrated electricity‐natural gas systems considering grid‐enhancing technologies
| العنوان: | An IGDT‐stochastic model for low‐carbon economic dispatch of integrated electricity‐natural gas systems considering grid‐enhancing technologies |
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| المؤلفون: | Amir Talebi, Masoud Agabalaye‐Rahvar, Behnam Mohammadi‐Ivatloo, Kazem Zare, Amjad Anvari‐Moghaddam |
| المصدر: | IET Generation, Transmission & Distribution, Vol 18, Iss 24, Pp 4042-4064 (2024) |
| بيانات النشر: | Wiley, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Production of electric energy or power. Powerplants. Central stations |
| مصطلحات موضوعية: | carbon capture and storage, flexible alternating current transmission system, global warming, mathematical programming, power generation dispatch, power system interconnection, Distribution or transmission of electric power, TK3001-3521, Production of electric energy or power. Powerplants. Central stations, TK1001-1841 |
| الوصف: | Abstract Utilizing wind power alongside flexible resources such as power‐to‐gas technology, gas‐fuel generator, demand response (DR) program, grid‐enhancing technologies, and carbon capture and storage can help to low carbon operation of integrated electricity‐gas systems (IEGSs). Accordingly, this paper proposes a low‐carbon economic dispatch model for the IEGS, in which gas‐fuel generators, DR, and gas‐fuel generator are considered to realize the economic and environmentally friendly operation of these systems. Also, the flexible AC transmission system device as one of the grid‐enhancing technologies is innovatively included in IEGSs to guarantee that wind power is deliverable entire the electricity system. Besides, power‐to‐gas equipped with hydrogen storage is used to absorb the excess wind power to produce CH4. On the other hand, to capture the inherent flexibility of the gas network, the gas‐storing characteristic of pipelines is shown by line pack modelling. To manage uncertainties associated with wind power and DR program, the proposed model is formulated as an IGDT‐stochastic problem. For efficient computation purposes, the present work follows the mixed‐integer linear programming framework. Different case studies are performed on an integrated test system. Numerical simulation results show that the proposed model leads to reducing the total cost, carbon emissions, and wind curtailment by 29%, 16.4%, and 100%, respectively. It can be seen that the proposed low‐carbon ED model is environmentally friendly and has economic benefits. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1751-8695 1751-8687 |
| Relation: | https://doaj.org/toc/1751-8687; https://doaj.org/toc/1751-8695 |
| DOI: | 10.1049/gtd2.13327 |
| URL الوصول: | https://doaj.org/article/81278ad0c4a44ee0968bd579c675b8cf |
| رقم الانضمام: | edsdoj.81278ad0c4a44ee0968bd579c675b8cf |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 17518695 17518687 |
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| DOI: | 10.1049/gtd2.13327 |