JOURNAL ARTICLE

Peak Load Management in Smart Grid – Integration of Rescheduling & Cloud Computing

Manoj R. HansNilesh JagtapJivan Balasaheb DeokateVivek Kant Jogi

Year: 2020 Journal:   2020 Fourth International Conference on Inventive Systems and Control (ICISC) Vol: 1 Pages: 861-865

Abstract

Ever-increasing demand for power has motivated researchers to come up with methodologies for meeting the demand. A smart grid is one of the solutions to minimizing the issue. A smart grid has become a proven way to optimize the load flow, hence the balance between the demand and supply of power is maintained. Though the problem of demand and supply is resolved to some extent still problems persist. The efficiency of the system i.e. end to end must be high. The quality of power must be intact. Considering above mentioned factors there can be checkpoints at three different levels. Remedial measures can be at the utility or the consumer end. As much can't be done at the utility side due to several constraints hence there is a need for implementation of remedial measures on the consumer end, also known as the Demand Side Management (DSM). The demand-side management must be given emphasis because of several advantages it serves to the consumer as well as to the utility. DSM has been implemented at the Institute premises with the application of cloud computing. Communication of data between the cloud and the microgrid at the institute has been monitored and analyzed in the experimentation. Through analysis has been presented in the paper.

Keywords:
Cloud computing Computer science Smart grid Grid Load balancing (electrical power) Grid computing Distributed computing Operating system Engineering Electrical engineering Geology

Metrics

3
Cited By
1.05
FWCI (Field Weighted Citation Impact)
23
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Smart Grid Security and Resilience
Physical Sciences →  Engineering →  Control and Systems Engineering
Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications

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