Optimal planning and multi-criteria decision making for effective design and performance of hybrid microgrid integrated with energy management strategy

The dependence on fossil fuels for energy generation resulted in severe environmental challenges, triggering green transition. As a result, there has been massive uptake of renewable energy share in the energy sector, devising new ways of generating energy. Hybrid microgrids are one such system enab...

Full description

Bibliographic Details
Published in:Sustainable Energy Technologies and Assessments
Main Author: 2-s2.0-85147854460
Format: Article
Language:English
Published: Elsevier Ltd 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147854460&doi=10.1016%2fj.seta.2023.103074&partnerID=40&md5=678e9509972c9d5e01f8756d1a6cb097
id Bao Y.; Li R.; Yang X.; Saini G.; Ranjith Krishna P.; Wang G.
spelling Bao Y.; Li R.; Yang X.; Saini G.; Ranjith Krishna P.; Wang G.
2-s2.0-85147854460
Optimal planning and multi-criteria decision making for effective design and performance of hybrid microgrid integrated with energy management strategy
2023
Sustainable Energy Technologies and Assessments
56

10.1016/j.seta.2023.103074
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147854460&doi=10.1016%2fj.seta.2023.103074&partnerID=40&md5=678e9509972c9d5e01f8756d1a6cb097
The dependence on fossil fuels for energy generation resulted in severe environmental challenges, triggering green transition. As a result, there has been massive uptake of renewable energy share in the energy sector, devising new ways of generating energy. Hybrid microgrids are one such system enabling green transition in the energy sector. However, they mostly face planning and feasibility-related challenges. Such challenges become more complex when consumer's preferences on energy use patterns are considered. Hence, this paper considers designing a hybrid microgrid considering consumer-centric energy management options. A case study has been simulated considering the consumer's preferences on energy use patterns using a hybrid optimization of multiple energy resources tool for understanding the techno-economic-environmental feasibility through which better planning of microgrid infrastructure can be made. The results include the hybrid microgrid system architecture, capacity size optimization, energy performance and cost parameters. The observed energy potential from the optimally planned hybrid microgrid satisfied the electrical energy requirements. It is observed that the energy management option strongly influences the hybrid microgrid system architecture, capacity size optimization, and cost. Based on the observed results, the best-worst method was implemented for decision-making over the system architecture selection considering multiple decisions over techno-economic and environmental aspects. © 2023 Elsevier Ltd
Elsevier Ltd
22131388
English
Article

author 2-s2.0-85147854460
spellingShingle 2-s2.0-85147854460
Optimal planning and multi-criteria decision making for effective design and performance of hybrid microgrid integrated with energy management strategy
author_facet 2-s2.0-85147854460
author_sort 2-s2.0-85147854460
title Optimal planning and multi-criteria decision making for effective design and performance of hybrid microgrid integrated with energy management strategy
title_short Optimal planning and multi-criteria decision making for effective design and performance of hybrid microgrid integrated with energy management strategy
title_full Optimal planning and multi-criteria decision making for effective design and performance of hybrid microgrid integrated with energy management strategy
title_fullStr Optimal planning and multi-criteria decision making for effective design and performance of hybrid microgrid integrated with energy management strategy
title_full_unstemmed Optimal planning and multi-criteria decision making for effective design and performance of hybrid microgrid integrated with energy management strategy
title_sort Optimal planning and multi-criteria decision making for effective design and performance of hybrid microgrid integrated with energy management strategy
publishDate 2023
container_title Sustainable Energy Technologies and Assessments
container_volume 56
container_issue
doi_str_mv 10.1016/j.seta.2023.103074
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147854460&doi=10.1016%2fj.seta.2023.103074&partnerID=40&md5=678e9509972c9d5e01f8756d1a6cb097
description The dependence on fossil fuels for energy generation resulted in severe environmental challenges, triggering green transition. As a result, there has been massive uptake of renewable energy share in the energy sector, devising new ways of generating energy. Hybrid microgrids are one such system enabling green transition in the energy sector. However, they mostly face planning and feasibility-related challenges. Such challenges become more complex when consumer's preferences on energy use patterns are considered. Hence, this paper considers designing a hybrid microgrid considering consumer-centric energy management options. A case study has been simulated considering the consumer's preferences on energy use patterns using a hybrid optimization of multiple energy resources tool for understanding the techno-economic-environmental feasibility through which better planning of microgrid infrastructure can be made. The results include the hybrid microgrid system architecture, capacity size optimization, energy performance and cost parameters. The observed energy potential from the optimally planned hybrid microgrid satisfied the electrical energy requirements. It is observed that the energy management option strongly influences the hybrid microgrid system architecture, capacity size optimization, and cost. Based on the observed results, the best-worst method was implemented for decision-making over the system architecture selection considering multiple decisions over techno-economic and environmental aspects. © 2023 Elsevier Ltd
publisher Elsevier Ltd
issn 22131388
language English
format Article
accesstype
record_format scopus
collection Scopus
_version_ 1828987865761054720