NDLI: A comparison study of demand response using optimal and heuristic algorithms

Content Provider	IEEE Xplore Digital Library
Author	Shuhui Li Dong Zhang
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Alabama, Tuscaloosa, AL, USA (Shuhui Li; Dong Zhang)
Abstract	The development of the smart grid is driving an explosion of interest in demand response programs in the power and energy industry. The term “demand response” is usually used to describe programs that result in changes in electricity usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time. To do so, smart usage of major home appliances is necessary. This paper compares optimal and heuristic demand response (DR) algorithms through a computational experiment strategy. The optimal DR algorithm is obtained based on the objective of minimizing the cost for household electricity consumption. The heuristic DR algorithm is based on the dynamic price information during a day. The computational experiment approach combines building energy consumption simulation and dynamic electricity price together for different DR algorithm evaluation. The paper examines the characteristics of the two different DR strategies and how they are affected by dynamic price tariffs, seasons, and weathers.
Sponsorship	IEEE Power Energy Soc.
Starting Page	1
Ending Page	5
File Size	451756
Page Count	5
File Format	PDF
ISBN	9781479913039
ISSN	19449925
DOI	10.1109/PESMG.2013.6672246
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Electricity Home appliances Load management Buildings Heuristic algorithms Thermostats heuristic algorithm demand response dynamic electricity price building energy consumption optimization
Content Type	Text
Resource Type	Article

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