A multi objective approach for optimal design of solar/ wind/ biomass/ battery-based grid connected microgrid system
A multi objective approach for optimal design of solar/ wind/ biomass/ battery-based grid connected microgrid system
Due to the depletion of fossil fuels the dependency on the reliable and ecofriendly alternative sources has increased. The renewable energy sources have become alternative sources for the fossil fuels. However, there are some issues with the renewables which include uncertainty, reliability, high cost and intermittency of the sources. By integrating the multiple renewable sources together these issues can be minimized. In this study grid integrated wind, solar, biomass and battery based microgrid system is proposed using a multi objective artificial cooperative search algorithm (MOACS) with the objective to minimize the annual life cycle costing (ALCC) with high reliability (minimizing the loss of power supply probability (LPSP)). Different case studies have been presented and the comparative study proves the supremacy of the proposed approach.
Pavankumar, Yadala
5cd41b9c-57cc-4ac1-b36d-4143d5d1a81b
Kollu, Ravindra
b008947a-9d73-4f39-adb2-09406ea260fc
Debnath, Sudipta
78351e14-b824-4d90-8e9f-4c2f7bd51d89
Paul, Subrata
6d6fec34-30f6-4e18-904b-8b13b9a89d35
25 August 2022
Pavankumar, Yadala
5cd41b9c-57cc-4ac1-b36d-4143d5d1a81b
Kollu, Ravindra
b008947a-9d73-4f39-adb2-09406ea260fc
Debnath, Sudipta
78351e14-b824-4d90-8e9f-4c2f7bd51d89
Paul, Subrata
6d6fec34-30f6-4e18-904b-8b13b9a89d35
Pavankumar, Yadala, Kollu, Ravindra, Debnath, Sudipta and Paul, Subrata
(2022)
A multi objective approach for optimal design of solar/ wind/ biomass/ battery-based grid connected microgrid system.
In 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP).
IEEE.
6 pp
.
(doi:10.1109/iciccsp53532.2022.9862483).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Due to the depletion of fossil fuels the dependency on the reliable and ecofriendly alternative sources has increased. The renewable energy sources have become alternative sources for the fossil fuels. However, there are some issues with the renewables which include uncertainty, reliability, high cost and intermittency of the sources. By integrating the multiple renewable sources together these issues can be minimized. In this study grid integrated wind, solar, biomass and battery based microgrid system is proposed using a multi objective artificial cooperative search algorithm (MOACS) with the objective to minimize the annual life cycle costing (ALCC) with high reliability (minimizing the loss of power supply probability (LPSP)). Different case studies have been presented and the comparative study proves the supremacy of the proposed approach.
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Published date: 25 August 2022
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Local EPrints ID: 499175
URI: http://eprints.soton.ac.uk/id/eprint/499175
PURE UUID: 5ed04199-52db-4912-bc79-ed1ae2e7c0bc
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Date deposited: 11 Mar 2025 17:36
Last modified: 15 Mar 2025 03:15
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Contributors
Author:
Yadala Pavankumar
Author:
Ravindra Kollu
Author:
Sudipta Debnath
Author:
Subrata Paul
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