DocumentCode :
1777380
Title :
Demand response under real-time pricing for domestic energy system with DGs
Author :
Bingjie Ruan ; Qiang Yang ; Xinli Fang ; Wenjun Yan
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2014
fDate :
20-22 Oct. 2014
Firstpage :
3103
Lastpage :
3110
Abstract :
Due to the installation of different forms of small-scale distributed generators (DGs), e.g. wind turbines, photovoltaic (PV) panels in the domestic scope as well as the emergence of real-time electricity pricing, achieving a cost-effective energy management through appropriately scheduling the operation of domestic appliances becomes feasible. In this paper, we present an energy scheduling algorithmic solution aiming to investigate the potential economical benefits of matching generation to the demand through load control at the domestic level. Also the real-time pricing (RTP) scheme is considered in optimizing the scheduling events such that the electricity bill is minimized whilst meeting the operational constraints of domestic appliances. The proposed solution is evaluated through a set of simulation experiments and the numerical result demonstrates that the suggest approach could appropriately coordinate the DG sources and domestic loads with maximized economical benefits and improved DG resource utilization.
Keywords :
distributed power generation; domestic appliances; energy management systems; load regulation; power generation economics; power generation scheduling; pricing; DG resource utilization improvement; PV panels; RTP scheme; cost-effective energy management; demand response; domestic appliance operation; domestic energy system; domestic load control; electricity bill; energy scheduling algorithmic solution; form installation; matching generation economical benefits; operational constraints; photovoltaic panels; real-time electricity pricing; small-scale distributed generators; wind turbines; Electricity; Home appliances; Load management; Load modeling; Pricing; Real-time systems; Scheduling; Distributed Generation; energy optimization; flexible loads scheduling strategy; real-time pricing; smart home;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/POWERCON.2014.6993601
Filename :
6993601
Link To Document :
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