2020
DOI: 10.47264/idea.nasij/1.1.3
|View full text |Cite
|
Sign up to set email alerts
|

A Qualitative Analysis of an Intelligent Use of Demand and Generation in the Microgrid

Abstract: There are reliable solutions for overcoming the mismanagements and inefficiencies in the microgrid, which have been discussed, in the following proposed study. It focuses on the utilization of Renewable Energy Sources (RES) for operating the microgrid in a smart way such that the supply demand ratio is balanced profiting both the utility user and the end user. Power sources are scheduled as per requirement based on their availability and per unit cost. Centralized Multi Agent System (MAS) technique is adopted … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 13 publications
0
1
0
Order By: Relevance
“…Kofinas et al [15] proposed a Fuzzy Q-Learning energy management control strategy to ensure real-time control and monitoring of microgrid operations. Salam et al [16] proposed a microgrid model based on centralized MAS control by dividing the load into critical and non-critical loads. The RES is scheduled by utilizing the Demand Side Management (DSM) technique such that the non-critical load sheds its power to support the critical load in case of low power supply to the critical load.…”
Section: Introductionmentioning
confidence: 99%
“…Kofinas et al [15] proposed a Fuzzy Q-Learning energy management control strategy to ensure real-time control and monitoring of microgrid operations. Salam et al [16] proposed a microgrid model based on centralized MAS control by dividing the load into critical and non-critical loads. The RES is scheduled by utilizing the Demand Side Management (DSM) technique such that the non-critical load sheds its power to support the critical load in case of low power supply to the critical load.…”
Section: Introductionmentioning
confidence: 99%