Short-term optimal energy management in stand-alone microgrid with battery energy storage
The optimal energy management (OEM) in a stand-alone microgrid (SMG) is a challenging job because of uncertain and intermittent behavior of clean energy sources (CESs) such as a photovoltaic (PV), wind turbine (WT). This paper presents the effective role of battery energy storage (BES) in optimal sc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2018-09-01
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| Series: | Archives of Electrical Engineering |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/107870/PDF/AEE-67-3-2018-10.09_art_3.pdf |
| _version_ | 1811221128557887488 |
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| author | Navin Kumar Paliwal Asheesh Kumar Singh Navneet Kumar Singh |
| author_facet | Navin Kumar Paliwal Asheesh Kumar Singh Navneet Kumar Singh |
| author_sort | Navin Kumar Paliwal |
| collection | DOAJ |
| description | The optimal energy management (OEM) in a stand-alone microgrid (SMG) is a challenging job because of uncertain and intermittent behavior of clean energy sources (CESs) such as a photovoltaic (PV), wind turbine (WT). This paper presents the effective role of battery energy storage (BES) in optimal scheduling of generation sources to fulfill the load demand in an SMG under the intermittency of theWT and PV power. The OEM is performed by minimizing the operational cost of the SMG for the chosen moderate weather profile using an artificial bee colony algorithm (ABC) in four different cases, i.e. without the BES and with the BES having a various level of initial capacity. The results show the efficient role of the BES in keeping the reliability of the SMG with the reduction in carbon-emissions and uncertainty of the CES power. Also, prove that the ABC provides better cost values compared to particle swarm optimization (PSO) and a genetic algorithm (GA). Further, the robustness of system reliability using the BES is tested for the mean data of the considered weather profile. |
| first_indexed | 2024-04-12T07:53:57Z |
| format | Article |
| id | doaj.art-f3b2ef20ae9b47f0988ec9fa75856485 |
| institution | Directory Open Access Journal |
| issn | 2300-2506 |
| language | English |
| last_indexed | 2024-04-12T07:53:57Z |
| publishDate | 2018-09-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Electrical Engineering |
| spelling | doaj.art-f3b2ef20ae9b47f0988ec9fa758564852022-12-22T03:41:33ZengPolish Academy of SciencesArchives of Electrical Engineering2300-25062018-09-01vol. 67No 3https://doi.org/10.24425/123659Short-term optimal energy management in stand-alone microgrid with battery energy storageNavin Kumar PaliwalAsheesh Kumar SinghNavneet Kumar SinghThe optimal energy management (OEM) in a stand-alone microgrid (SMG) is a challenging job because of uncertain and intermittent behavior of clean energy sources (CESs) such as a photovoltaic (PV), wind turbine (WT). This paper presents the effective role of battery energy storage (BES) in optimal scheduling of generation sources to fulfill the load demand in an SMG under the intermittency of theWT and PV power. The OEM is performed by minimizing the operational cost of the SMG for the chosen moderate weather profile using an artificial bee colony algorithm (ABC) in four different cases, i.e. without the BES and with the BES having a various level of initial capacity. The results show the efficient role of the BES in keeping the reliability of the SMG with the reduction in carbon-emissions and uncertainty of the CES power. Also, prove that the ABC provides better cost values compared to particle swarm optimization (PSO) and a genetic algorithm (GA). Further, the robustness of system reliability using the BES is tested for the mean data of the considered weather profile.https://journals.pan.pl/Content/107870/PDF/AEE-67-3-2018-10.09_art_3.pdfartificial bee colonybattery energy storageclean energy sourcesoptimal energy managementstand-alone microgrid |
| spellingShingle | Navin Kumar Paliwal Asheesh Kumar Singh Navneet Kumar Singh Short-term optimal energy management in stand-alone microgrid with battery energy storage Archives of Electrical Engineering artificial bee colony battery energy storage clean energy sources optimal energy management stand-alone microgrid |
| title | Short-term optimal energy management in stand-alone microgrid with battery energy storage |
| title_full | Short-term optimal energy management in stand-alone microgrid with battery energy storage |
| title_fullStr | Short-term optimal energy management in stand-alone microgrid with battery energy storage |
| title_full_unstemmed | Short-term optimal energy management in stand-alone microgrid with battery energy storage |
| title_short | Short-term optimal energy management in stand-alone microgrid with battery energy storage |
| title_sort | short term optimal energy management in stand alone microgrid with battery energy storage |
| topic | artificial bee colony battery energy storage clean energy sources optimal energy management stand-alone microgrid |
| url | https://journals.pan.pl/Content/107870/PDF/AEE-67-3-2018-10.09_art_3.pdf |
| work_keys_str_mv | AT navinkumarpaliwal shorttermoptimalenergymanagementinstandalonemicrogridwithbatteryenergystorage AT asheeshkumarsingh shorttermoptimalenergymanagementinstandalonemicrogridwithbatteryenergystorage AT navneetkumarsingh shorttermoptimalenergymanagementinstandalonemicrogridwithbatteryenergystorage |