Abstract
Driven by environmental issues and energy security, the global energy environment is evolving toward sustainability and carbon emissions reduction. The International Energy Agency's 2021 World Energy Outlook highlights the importance of clean energy innovation and increased adoption of renewable energy to achieve climate goals. As renewable energy sources become increasingly integrated with the existing grid, the variability of renewable energy poses challenges to grid stability. Existing flexibility indicators such as loss of load expectation, expected energy not served, and insufficient ramping resource expectation are not sufficient to evaluate short-term load changes and determine system flexibility from limited information. In this paper, a new approach is introduced to calculate the ramping performance probability of individual generators using data from those generators. The ramping performance probabilities of individual generators are represented by a probability density function, which is then convolved to produce a comprehensive power system flexibility index in the form of a cumulative distribution function. Data from the generators allows for the evaluation of the system's ability to respond to load fluctuations.
| Original language | English |
|---|---|
| Pages (from-to) | 867-876 |
| Number of pages | 10 |
| Journal | Journal of Electrical Engineering and Technology |
| Volume | 19 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2024 Feb |
Bibliographical note
Publisher Copyright:© The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2024.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- Flexibility evaluation
- Power system modeling
- Power system planning
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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