Imperial College London
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Dr Spyros Giannelos

Faculty of Engineering, Department of Electrical and Electronic Engineering

Research Associate
 
 
 
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Contact

 

s.giannelos

 
 
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Location

 

Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Giannelos:2021:10.3390/en14227813,
author = {Giannelos, S and Jain, A and Borozan, S and Falugi, P and Moreira, A and Bhakar, R and Mathur, J and Strbac, G},
doi = {10.3390/en14227813},
journal = {Energies},
pages = {7813--7813},
title = {Long-term expansion planning of the transmission network in India under multi-dimensional uncertainty},
url = {http://dx.doi.org/10.3390/en14227813},
volume = {14},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Considerable investment in India’s electricity system may be required in the coming decades in order to help accommodate the expected increase of renewables capacity as part of the country’s commitment to decarbonize its energy sector. In addition, electricity demand is geared to significantly increase due to the ongoing electrification of the transport sector, the growing population, and the improving economy. However, the multi-dimensional uncertainty surrounding these aspects gives rise to the prospect of stranded investments and underutilized network assets, rendering investment decision making challenging for network planners. In this work, a stochastic optimization model is applied to the transmission network in India to identify the optimal expansion strategy in the period from 2020 until 2060, considering conventional network reinforcements as well as energy storage investments. An advanced Nested Benders decomposition algorithm was used to overcome the complexity of the multistage stochastic optimization problem. The model additionally considers the uncertainty around the future investment cost of energy storage. The case study shows that deployment of energy storage is expected on a wide scale across India as it provides a range of benefits, including strategic investment flexibility and increased output from renewables, thereby reducing total expected system costs; this economic benefit of planning with energy storage under uncertainty is quantified as Option Value and is found to be in excess of GBP 12.9 bn. The key message of this work is that under potential high integration of wind and solar in India, there is significant economic benefit associated with the wide-scale deployment of storage in the system.
AU  - Giannelos,S
AU  - Jain,A
AU  - Borozan,S
AU  - Falugi,P
AU  - Moreira,A
AU  - Bhakar,R
AU  - Mathur,J
AU  - Strbac,G
DO  - 10.3390/en14227813
EP  - 7813
PY  - 2021///
SN  - 1996-1073
SP  - 7813
TI  - Long-term expansion planning of the transmission network in India under multi-dimensional uncertainty
T2  - Energies
UR  - http://dx.doi.org/10.3390/en14227813
UR  - https://www.mdpi.com/1996-1073/14/22/7813
UR  - http://hdl.handle.net/10044/1/93100
VL  - 14
ER  -
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