The energy management of islanded micro grid system using farmland fertility algorithm.
Saved in:
| Title: | The energy management of islanded micro grid system using farmland fertility algorithm. |
|---|---|
| Authors: | Mandloi, Toshi, Sharma, Shailendra Kumar, Choube, S.C. |
| Source: | Energy Sources Part A: Recovery, Utilization & Environmental Effects; 2023, Vol. 45 Issue 2, p5031-5051, 21p |
| Subject Terms: | MICROGRIDS, ANT algorithms, ENERGY management, FERTILITY, ALGORITHMS, GRIDS (Cartography), ABATEMENT (Atmospheric chemistry) |
| Abstract: | An energy management in micro grid portrays a significant role in coordinating the generation with the load demand and it is characterized as an optimization problem evaluated for economic dispatch (ED). In microgrid, energy management issues have thus far primarily been addressed with the purpose of lowering the operational costs. However, for a microgrid system to manage energy effectively, the environmental problems, or issues regarding emission must be addressed. In this research work, a novel metaheuristic approach, known as farmland fertility algorithm (FFA) is proposed for obtaining ED and integrated economic emission dispatch (IEED). The different test cases for ED and IEED are considered to minimize the fuel and the emission cost respectively. For the different cases contemplated for ED and IEED, the generation cost reduces after the inclusion of RES, and also in the case when wind energy source is included alone. These results depict that the ED and IEED perform using FFA achieves a cost optimization of 9.2% and 19.51% respectively. The ED and IEED with FFA offer more cost saving and provides reduced emission in comparison to reduced gradient method (RGM), ant colony optimization (ACO), cuckoo search algorithm (CSA), interior search algorithm (ISA), Bat algorithm (BA) and directional bat algorithm (dBA). [ABSTRACT FROM AUTHOR] |
| Copyright of Energy Sources Part A: Recovery, Utilization & Environmental Effects is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
Full Text Finder 
Nájsť tento článok vo Web of Science Be the first to leave a comment!