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A demand-side management simulation platform incorporating optimal management of distributed renewable resources

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4 Author(s)
Nikhil Gudi ; EECS Department, University of Toledo, 2801 W. Bancroft St., Toledo, OH 43606-3390 ; Lingfeng Wang ; Vijay Devabhaktuni ; Soma Shekara Sreenadh Reddy Depuru

This paper introduces dynamic distributed resource management in a Demand-Side Management (DSM) based simulation tool. The principle 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. The tool 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, 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, and compared with the operating costs of the same system without the optimization algorithm.

Published in:

Power Systems Conference and Exposition (PSCE), 2011 IEEE/PES

Date of Conference:

20-23 March 2011