Das, Sherin S and Majumdar, Rudrodip and Krishnan, AV and Srikanth, R
(2024)
A Methodological Framework for Strategic Electricity Generation Planning in India: Assessing Resource Adequacy through Probability Risk Metrics.
In: 3rd International Conference on Renewable Power (ICRP), March 28-29, 2024, MAIT, Delhi.
Full text not available from this repository.
| Abstract: |
A country's electricity mix plays a crucial role in shaping its economic and industrial growth. A
diversified fuel mix can reduce emissions while ensuring energy supply security, thus enhancing the potential for
climate-compatible growth. A decarbonized electricity mix is essential for mitigating the effects of climate change
and catering to the core spirit of sustainable development goals (SDGs) as highlighted by the Intergovernmental
Panel on Climate Change (IPCC). As of now, the low-carbon electricity mix in India is composed of intermittent
energy resources, like Solar, Wind, and Hydropower generation. Although variable renewable energy (VRE)
sources lead to a reduction in greenhouse gas emissions, random temporal fluctuations in their availability perturb
the stability of the power systems. This necessitates strategic planning, especially on the generation side such that
future electricity demand is always met. This study discusses a methodological framework in conjunction with
the existing probability-based risk metrics for assessing the resource adequacy of the electricity generation mix
considering the generation capacities of different sources, their average availability levels, and the possible
outages that these sources may suffer from. The paper illustrates Monte Carlo simulations with an assumed
electricity mix in conjunction with relevant parameters to demonstrate the resource adequacy assessment of an
electricity generation mix. The simulations show that the available capacity decreases with an increasing number
of discrete risk events, which limits the capability of the power system to meet the demand. For a 2-day test
simulation (considering a loss of load expectation value of 2 events-days), the loss of load event is found to be 4
events, and expected unreserved energy is estimated as 1400 MWh over the predefined, representative two-day
period |
| Item Type: |
Conference or Workshop Item
(Paper)
|
| Keywords: |
Resource adequacy, Electricity generation, Probability risk metrics, Low-carbon electricity mix |
| Subjects: |
School of Natural and Engineering Sciences > Energy and Environment |
| Divisions: |
Schools > Natural Sciences and Engineering |
| Date Deposited: |
24 May 2024 09:19 |
| Last Modified: |
12 Aug 2024 04:39 |
| Official URL: |
https://mait.ac.in/index.php/3rd-international-con... |
| Related URLs: |
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| Funders: |
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| Projects: |
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| DOI: |
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| URI: |
http://eprints.nias.res.in/id/eprint/2721 |
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