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A demand side management based simulation platform incorporating heuristic optimization for management of household appliances

Authors :
Gudi, Nikhil
Wang, Lingfeng
Devabhaktuni, Vijay
Source :
International Journal of Electrical Power & Energy Systems. Dec2012, Vol. 43 Issue 1, p185-193. 9p.
Publication Year :
2012

Abstract

Abstract: Demand-Side Management (DSM) can be defined as the implementation of policies and measures to control, regulate, and reduce energy consumption. This paper introduces dynamic distributed resource management and optimized operation of household appliances in a DSM based simulation tool. The principal purpose of the simulation tool is to illustrate customer-driven DSM operation, and evaluate an estimate for home electricity consumption while minimizing the customer’s cost. A heuristic optimization algorithm i.e. Binary Particle Swarm Optimization (BPSO) is used for the optimization of DSM operation in the tool. The tool also simulates the operation of household appliances as a Hybrid Renewable Energy System (HRES). The resource management technique is implemented using an optimization algorithm, i.e. Particle Swarm Optimization (PSO), which determines the distribution of energy obtained from various sources depending on the load. The validity of the tool is illustrated through an example case study for various household situations. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01420615
Volume :
43
Issue :
1
Database :
Academic Search Index
Journal :
International Journal of Electrical Power & Energy Systems
Publication Type :
Academic Journal
Accession number :
79805900
Full Text :
https://doi.org/10.1016/j.ijepes.2012.05.023