An Enhanced System Architecture for Optimized Demand Side Management in Smart Grid
Source abstract
Abstract
Demand Side Management (DSM) through optimization of home energy consumption in the smart grid environment is now one of the well-known research areas. Appliance scheduling has been done through many different algorithms to reduce peak load and, consequently, the Peak to Average Ratio (PAR). This paper presents a Comprehensive Home Energy Management Architecture (CHEMA) with integration of multiple appliance scheduling options and enhanced load categorization in a smart grid environment. The CHEMA model consists of six layers and has been modeled in Simulink with an embedded MATLAB code. A single Knapsack optimization technique is used for scheduling and four different cases of cost reduction are modeled at the second layer of CHEMA. Fault identification and electricity theft control have also been added in CHEMA. Furthermore, carbon footprint calculations have been incorporated in order to make the users aware of environmental concerns. Simulation results prove the effectiveness of the proposed model.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Smart Grid Energy Management · Microgrid Control and Optimization · Green IT and Sustainability
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
College of Applied Medical Sciences, Department of Biomedical Technology, King Saud University, Riyadh 11633, Saudi Arabia
Cameron Library, University of Alberta, Edmonton, AB T6G 2J8, Canada
Internetworking Program, Faculty of Engineering, Dalhousie University, Halifax, NS B3J 4R2, Canada
Computer Information Science, Higher Colleges of Technology, Fujairah 4114, UAE
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