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| Content Provider | IET Digital Library |
|---|---|
| Author | Bhattarai, Safal Karki, Rajesh Piya, Prasanna |
| Abstract | There are rising opportunities and prospects for integration of a large-scale energy storage system in the electric power system to mitigate the challenges arising from wide-spread growth in variable and uncertain sources of renewable energy generation. Compressed air energy storage (CAES) is one of the promising large-scale energy storage technologies that is being explored. This study presents a novel probabilistic framework to evaluate the reliability benefit of CAES in the wind integrated power system. The developed framework is based on a hybrid approach which is a combination of Monte Carlo simulation (MCS) based state of charge model and analytical method based reliability evaluation. An equivalent average model is developed within the hybrid framework to assess the adequacy benefit of CAES operated to seasonally accumulate and transfer energy. This hybrid method brings together advantages of both MCS and analytical method in reliability evaluation resulting in a comprehensive and computationally efficient framework. A detailed Markov model for CAES component reliability is developed and integrated into the hybrid framework. Case studies are conducted to demonstrate the effectiveness of the proposed framework. The results presented quantify the reliability benefit from diurnal and seasonal energy management in CAES in addition to the environmental and financial benefits. |
| Starting Page | 4443 |
| Ending Page | 4450 |
| Page Count | 8 |
| ISSN | 17518687 |
| Volume Number | 13 |
| e-ISSN | 17518695 |
| Issue Number | Issue 19, Oct (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/13/19 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0179 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2019-08-19 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Adequacy Assessment Adequacy Benefit Analytical Method Based Reliability Evaluation CAES Component Reliability Charge Model Compressed Air Energy Storage Computationally Efficient Framework Detailed Markov Model Diurnal Energy Management Electric Power System Energy Storage Equivalent Average Model Hybrid Method Large-scale Energy Storage System Large-scale Energy Storage Technology Markov Processes Monte Carlo Method Monte Carlo Simulation Based State Novel Probabilistic Framework Power Generation Reliability Power System Economics Power System Managemen Power System Operation Probability Reliability Reliability Benefit Reliability Modelling Renewable Energy Generation Seasonal Energy Management Uncertain Source Variable Source Wind Integrated Power System Wind Power Wind Power Plant |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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