Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/179788
Title: Two-stage integrated planning strategy for future power system expansion with optimal energy mix and high renewable penetration
Authors: Thangavelu, Sundar Raj
Joseph, Akhil
Kong, Xin
Keywords: Engineering
Issue Date: 2023
Source: Thangavelu, S. R., Joseph, A. & Kong, X. (2023). Two-stage integrated planning strategy for future power system expansion with optimal energy mix and high renewable penetration. 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET). https://dx.doi.org/10.1109/globconet56651.2023.10149970
Project: NRF 2017 EWT-EP003-038 
Conference: 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET)
Abstract: Decarbonizing energy sources by enhancing renewable energy contribution is essential for most countries to achieve sustainability goals. Therefore, it is important to quantify the share of renewables in the future energy mix and evaluate their impact on power system expansion without sacrificing the reliability and performance of the grid. This paper proposes a two-stage planning strategy for grid extension with an optimized energy mix incorporating the assessment of a detailed grid model. The first stage accounts for future energy mix planning and power plant dispatch models covering a timeframe from subhourly to decades. The second stage exploits detailed network models to verify the deployment plans and network performance under diverse intermittency behaviours from renewable resources. The two-stage demarcation significantly reduces the complexity of the integrated energy mix optimization and provides flexibility in fine-tuning the power plant capacities, locations, and other grid upgrade decisions. The proposed strategy and the possible scale-up opportunities are elaborated in detail through a case study problem. The insights extracted from the case study may be of interest to energy policymakers, planners, and investors.
URI: https://hdl.handle.net/10356/179788
ISBN: 979-8-3503-3179-0
DOI: 10.1109/globconet56651.2023.10149970
Schools: School of Electrical and Electronic Engineering 
Research Centres: Energy Research Institute @ NTU (ERI@N) 
Rights: © 2023 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/GlobConET56651.2023.10149970.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ERI@N Conference Papers

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