Optimal sizing of battery energy storage systems and reliability analysis under diverse regulatory frameworks in microgrids
The integration of battery energy storage systems (BESS) with microgrids (MG) is crucial to improve the reliability and flexibility of renewable energy sources (RES) integration. However, the reliability and regulatory policies are critical factors that affect the optimal operation of MGs in the mar...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Energy Strategy Reviews |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211467X23002055 |
| _version_ | 1797320965803212800 |
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| author | Mohammadreza Gholami S.M. Muyeen Soad Abokhamis Mousavi |
| author_facet | Mohammadreza Gholami S.M. Muyeen Soad Abokhamis Mousavi |
| author_sort | Mohammadreza Gholami |
| collection | DOAJ |
| description | The integration of battery energy storage systems (BESS) with microgrids (MG) is crucial to improve the reliability and flexibility of renewable energy sources (RES) integration. However, the reliability and regulatory policies are critical factors that affect the optimal operation of MGs in the market. This study aims to enhance the reliability of MGs integrated with RES and BESS by evaluating their performance under different regulatory frameworks, namely feed-in tariff (FiT), net metering (NM), and energy storage incentive (ESI). Also, a dynamic FiT (D-FiT) framework is utilized to improve the reliability of the MG. An artificial bee colony optimization algorithm is utilized to optimize the size of BESS for each regulatory policy to minimize the total cost of the MG. Each policy is formulated based on its specific constraints in the problem. Subsequently, the reliability indices of Loss of Load Expectation (LOLE) and Expected Energy not Supplied (EENS) are calculated for each optimized solution. Moreover, we have integrated the dynamic thermal rating (DTR) system into our proposed model, focusing on the safe augmentation of system component ratings. The study finds that the D-FiT and standard FiT frameworks provide the best reliability level, whereas the reliability improvement under the ESI policy is not significant, as most of the MG's demand is supplied by the main grid. Furthermore, the study shows that the improvements in EENS are higher than LOLE, indicating that installing BESS reduces the loss of energy rather than the number of interruption hours. D-FiT framework has a significant positive impact on both reliability indices, unlike the other frameworks that have a greater effect on EENS. Furthermore, we have noticed a substantial improvement in reliability indices when the DTR system is taken into account, as compared to the static thermal rating (STR) system. |
| first_indexed | 2024-03-08T04:50:42Z |
| format | Article |
| id | doaj.art-77e687f25cc34770910c0b69fdbcb491 |
| institution | Directory Open Access Journal |
| issn | 2211-467X |
| language | English |
| last_indexed | 2024-03-08T04:50:42Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Strategy Reviews |
| spelling | doaj.art-77e687f25cc34770910c0b69fdbcb4912024-02-08T05:07:41ZengElsevierEnergy Strategy Reviews2211-467X2024-01-0151101255Optimal sizing of battery energy storage systems and reliability analysis under diverse regulatory frameworks in microgridsMohammadreza Gholami0S.M. Muyeen1Soad Abokhamis Mousavi2Department of Electrical and Electronic Engineering, Final International University, Kyrenia, 99300, TurkeyDepartment of Electrical Engineering, Qatar University, Doha, 2713, Qatar; Corresponding author.Faculty of Architecture and Fine Arts, Final International University, Kyrenia, 99300, TurkeyThe integration of battery energy storage systems (BESS) with microgrids (MG) is crucial to improve the reliability and flexibility of renewable energy sources (RES) integration. However, the reliability and regulatory policies are critical factors that affect the optimal operation of MGs in the market. This study aims to enhance the reliability of MGs integrated with RES and BESS by evaluating their performance under different regulatory frameworks, namely feed-in tariff (FiT), net metering (NM), and energy storage incentive (ESI). Also, a dynamic FiT (D-FiT) framework is utilized to improve the reliability of the MG. An artificial bee colony optimization algorithm is utilized to optimize the size of BESS for each regulatory policy to minimize the total cost of the MG. Each policy is formulated based on its specific constraints in the problem. Subsequently, the reliability indices of Loss of Load Expectation (LOLE) and Expected Energy not Supplied (EENS) are calculated for each optimized solution. Moreover, we have integrated the dynamic thermal rating (DTR) system into our proposed model, focusing on the safe augmentation of system component ratings. The study finds that the D-FiT and standard FiT frameworks provide the best reliability level, whereas the reliability improvement under the ESI policy is not significant, as most of the MG's demand is supplied by the main grid. Furthermore, the study shows that the improvements in EENS are higher than LOLE, indicating that installing BESS reduces the loss of energy rather than the number of interruption hours. D-FiT framework has a significant positive impact on both reliability indices, unlike the other frameworks that have a greater effect on EENS. Furthermore, we have noticed a substantial improvement in reliability indices when the DTR system is taken into account, as compared to the static thermal rating (STR) system.http://www.sciencedirect.com/science/article/pii/S2211467X23002055Artificial bee colony optimizationBattery energy storage systemDynamic thermal rating (DTR)Energy storage incentivesFeed-in tariffsGrid-connected microgrid |
| spellingShingle | Mohammadreza Gholami S.M. Muyeen Soad Abokhamis Mousavi Optimal sizing of battery energy storage systems and reliability analysis under diverse regulatory frameworks in microgrids Energy Strategy Reviews Artificial bee colony optimization Battery energy storage system Dynamic thermal rating (DTR) Energy storage incentives Feed-in tariffs Grid-connected microgrid |
| title | Optimal sizing of battery energy storage systems and reliability analysis under diverse regulatory frameworks in microgrids |
| title_full | Optimal sizing of battery energy storage systems and reliability analysis under diverse regulatory frameworks in microgrids |
| title_fullStr | Optimal sizing of battery energy storage systems and reliability analysis under diverse regulatory frameworks in microgrids |
| title_full_unstemmed | Optimal sizing of battery energy storage systems and reliability analysis under diverse regulatory frameworks in microgrids |
| title_short | Optimal sizing of battery energy storage systems and reliability analysis under diverse regulatory frameworks in microgrids |
| title_sort | optimal sizing of battery energy storage systems and reliability analysis under diverse regulatory frameworks in microgrids |
| topic | Artificial bee colony optimization Battery energy storage system Dynamic thermal rating (DTR) Energy storage incentives Feed-in tariffs Grid-connected microgrid |
| url | http://www.sciencedirect.com/science/article/pii/S2211467X23002055 |
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