Optimizing Distributed Generation and Energy Storage in Microgrids through Intelligent Energy Administration Strategies
An intelligent energy management strategy (IEAS), used for performing peak performance of microgrid, is proposed. SEMS mainly contains three modules -- energy retention system administration module, optimisation component, and power prediction module. From research done on the characteristics of sol...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_03009.pdf |
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| author | Raj Vijilius Helena Reddy R. Akhilesh Singh Navdeep Gupta Navya Al-Rubaye Taqi Mohammed Khattab Agrawal Priyanka |
| author_facet | Raj Vijilius Helena Reddy R. Akhilesh Singh Navdeep Gupta Navya Al-Rubaye Taqi Mohammed Khattab Agrawal Priyanka |
| author_sort | Raj Vijilius Helena |
| collection | DOAJ |
| description | An intelligent energy management strategy (IEAS), used for performing peak performance of microgrid, is proposed. SEMS mainly contains three modules -- energy retention system administration module, optimisation component, and power prediction module. From research done on the characteristics of solar PV production under various metrological scenarios, a module for power prediction one day ahead of time has been proposed. The mechanism of energy retention is its two most important characteristics: the retention must be improved across many time steps; energy pricing structures should be considered. Thus, the optimal way to operate are determined by using the ESS module. The storage device and the ESS financial performance can be evaluated by simultaneously considering ESSs of multiple-time limiting defined ESS. Thus, based on IEMS, the operations of DG, smart managing ESS and economical load dispatch is converted into a single-object optimisation problem. Finally, to get a workable approach of load management, an efficiency component for VE-GA is presented. This module generates control diagram of the dispersed generators and ESS, and give three different operation strategies. |
| format | Article |
| id | doaj-art-bde571e4dc0d43bd88f1d2f34e91ddbc |
| institution | DOAJ |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-bde571e4dc0d43bd88f1d2f34e91ddbc2025-08-20T03:16:19ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016160300910.1051/e3sconf/202561603009e3sconf_icregcsd2025_03009Optimizing Distributed Generation and Energy Storage in Microgrids through Intelligent Energy Administration StrategiesRaj Vijilius Helena0Reddy R. Akhilesh1Singh Navdeep2Gupta Navya3Al-Rubaye Taqi Mohammed Khattab4Agrawal Priyanka5Department of Applied Sciences, New Horizon College of EngineeringDepartment of CSE-AI&ML, MLR Institute of TechnologyLovely Professional UniversityLloyd Law CollegeDepartment of Medical Laboratory Technology, College of Medical Technologies, The Islamic UniversityDepartment of Electrical & Electronics Engineering, IILM UniversityAn intelligent energy management strategy (IEAS), used for performing peak performance of microgrid, is proposed. SEMS mainly contains three modules -- energy retention system administration module, optimisation component, and power prediction module. From research done on the characteristics of solar PV production under various metrological scenarios, a module for power prediction one day ahead of time has been proposed. The mechanism of energy retention is its two most important characteristics: the retention must be improved across many time steps; energy pricing structures should be considered. Thus, the optimal way to operate are determined by using the ESS module. The storage device and the ESS financial performance can be evaluated by simultaneously considering ESSs of multiple-time limiting defined ESS. Thus, based on IEMS, the operations of DG, smart managing ESS and economical load dispatch is converted into a single-object optimisation problem. Finally, to get a workable approach of load management, an efficiency component for VE-GA is presented. This module generates control diagram of the dispersed generators and ESS, and give three different operation strategies.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_03009.pdf |
| spellingShingle | Raj Vijilius Helena Reddy R. Akhilesh Singh Navdeep Gupta Navya Al-Rubaye Taqi Mohammed Khattab Agrawal Priyanka Optimizing Distributed Generation and Energy Storage in Microgrids through Intelligent Energy Administration Strategies E3S Web of Conferences |
| title | Optimizing Distributed Generation and Energy Storage in Microgrids through Intelligent Energy Administration Strategies |
| title_full | Optimizing Distributed Generation and Energy Storage in Microgrids through Intelligent Energy Administration Strategies |
| title_fullStr | Optimizing Distributed Generation and Energy Storage in Microgrids through Intelligent Energy Administration Strategies |
| title_full_unstemmed | Optimizing Distributed Generation and Energy Storage in Microgrids through Intelligent Energy Administration Strategies |
| title_short | Optimizing Distributed Generation and Energy Storage in Microgrids through Intelligent Energy Administration Strategies |
| title_sort | optimizing distributed generation and energy storage in microgrids through intelligent energy administration strategies |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_03009.pdf |
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