Demand response for residential appliances via Customer Reward Scheme


Autoria(s): Vivekananthan, Cynthujah; Mishra, Yateendra; Ledwich, Gerard; Li, Fangxing
Data(s)

2014

Resumo

This paper proposes a reward based demand response algorithm for residential customers to shave network peaks. Customer survey information is used to calculate various criteria indices reflecting their priority and flexibility. Criteria indices and sensitivity based house ranking is used for appropriate load selection in the feeder for demand response. Customer Rewards (CR) are paid based on load shift and voltage improvement due to load adjustment. The proposed algorithm can be deployed in residential distribution networks using a two-level hierarchical control scheme. Realistic residential load model consisting of non-controllable and controllable appliances is considered in this study. The effectiveness of the proposed demand response scheme on the annual load growth of the feeder is also investigated. Simulation results show that reduced peak demand, improved network voltage performance, and customer satisfaction can be achieved.

Identificador

http://eprints.qut.edu.au/67062/

Publicador

IEEE

Relação

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6725690

DOI:10.1109/TSG.2014.2298514

Vivekananthan, Cynthujah, Mishra, Yateendra, Ledwich, Gerard, & Li, Fangxing (2014) Demand response for residential appliances via Customer Reward Scheme. IEEE Transactions on Smart Grid, 5(2), pp. 809-820.

http://purl.org/au-research/grants/ARC/LP110201139

Direitos

Copyright 2014 IEEE

Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #090607 Power and Energy Systems Engineering (excl. Renewable Power) #customer rewards #demand response #direct load control #hierarchical controller #voltage improvement
Tipo

Journal Article