CaltechAUTHORS
  A Caltech Library Service

Demand Response Optimization for Smart Home Scheduling Using Genetic Algorithm

Chen, Chao-Rong and Lan, Ming-Jen and Huang, Chi-Chen and Hong, Ying-Yi and Low, Steven H. (2013) Demand Response Optimization for Smart Home Scheduling Using Genetic Algorithm. In: 2013 IEEE International Conference on Systems, Man, and Cybernetics. IEEE , Piscataway, NJ, pp. 1461-1465. ISBN 978-1-4799-0652-9. https://resolver.caltech.edu/CaltechAUTHORS:20170810-105100899

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20170810-105100899

Abstract

For mitigating the urgency of constructing power plant, alleviating supply pressure of power company, electricity scheduling of customers is a very important issue, wherein to promote demand response is a key factor. The demand response is mainly through electricity price publicized by utility company to guide customers in electricity scheduling, and by use of price negotiating mechanism, to reach mutual benefits for both sides of demand and supply. The paper proposes a method of minimizing tariff for customers through changing elastic load use time intervals where customers' electricity use time is divided into inelastic and elastic intervals by electricity use characteristics. In the paper, customer's one day electricity used is assumed to conduct simulation, by genetic algorithm, comparing variations among scheduling and tariff under different electricity use limitation situations. As shown in the results, it is found that through elastic load use time interval changes, minimum tariff objective can be reached, and feasibility of the proposed method is verified.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/SMC.2013.252DOIArticle
http://ieeexplore.ieee.org/document/6722005/PublisherArticle
ORCID:
AuthorORCID
Low, Steven H.0000-0001-6476-3048
Additional Information:© 2013 IEEE. This work was supported in part by the National Science Council in Taiwan, under the Project Title: Caltech-Taiwan collaboration on energy research-uncertainty mitigation for renewable energy integration, Project No: NSC 101-3113-P-008-001.
Funders:
Funding AgencyGrant Number
National Science Council (Taipei)NSC 101-3113-P-008-001
Subject Keywords:Dynamic Pricing, Demand Response (DR), Genetic Algorithm, elastic load
DOI:10.1109/SMC.2013.252
Record Number:CaltechAUTHORS:20170810-105100899
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170810-105100899
Official Citation:C. R. Chen, M. J. Lan, C. C. Huang, Y. Y. Hong and S. H. Low, "Demand Response Optimization for Smart Home Scheduling Using Genetic Algorithm," 2013 IEEE International Conference on Systems, Man, and Cybernetics, Manchester, 2013, pp. 1461-1465. doi: 10.1109/SMC.2013.252 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722005&isnumber=6721750
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:80093
Collection:CaltechAUTHORS
Deposited By: Zhaojian Wang
Deposited On:14 Aug 2017 17:09
Last Modified:15 Nov 2021 17:52

Repository Staff Only: item control page