Author Identifier
Taraneh Ghanbarzadeh: https://orcid.org/0009-0006-9135-5326
Daryoush Habibi: https://orcid.org/0000-0002-7662-6830
Asma Aziz: https://orcid.org/0000-0003-3538-0536
Document Type
Journal Article
Publication Title
IEEE Access
Volume
12
First Page
165831
Last Page
165844
Publisher
IEEE
School
School of Engineering
RAS ID
76514
Abstract
Generation expansion planning is vital for decarbonizing power systems and ensuring a reliable and sustainable energy future. Strategically adding new generation and grid capacity is essential for supporting a seamless transition to renewable energy while reducing greenhouse gas emissions. However, achieving the optimal capacity mix of energy resources to ensure network reliability and economic efficiency presents significant challenges, particularly for isolated electricity grids. These challenges are exacerbated during periods of low renewable generation and due to the inherent intermittency of weather-dependent energy resources. This paper presents a comprehensive approach to optimizing long-term expansion planning for an isolated electricity grid, focusing on integrating renewable energy and storage systems. We investigate how intermittent and limited energy resources can meet a reserve capacity constraint as the determinant reliability measure. A novel scenario-based optimization model is introduced to guide capacity planning over a 10-year transition period. This model incorporates boundary constraints to optimize annual energy resource values and presents a novel assessment approach to address the challenges of Dunkelflaute events in capacity planning. The methodology is validated using a modified IEEE-RTS system alongside real-generation data from renewable resources. The robustness of the proposed approach is rigorously tested through extensive simulations and post-optimization sensitivity analyses. Our findings demonstrate quantitatively the critical impact of decision variables, including energy storage system duration and the annual penetration levels of renewable energy, on the overall effectiveness of the planning strategy.
DOI
10.1109/ACCESS.2024.3494014
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Comments
Ghanbarzadeh, T., Habibi, D., & Aziz, A. (2024). Generation expansion planning in isolated power systems: A robust approach with Dunkelflaute sssessment. IEEE Access, 12. https://doi.org/10.1109/ACCESS.2024.3494014