DocumentCode :
184441
Title :
Operation of residential hybrid renewable energy systems: Integrating forecasting, optimization and demand response
Author :
Xiaonan Wang ; Palazoglu, Ahmet ; El-Farra, Nael H.
Author_Institution :
Dept. of Chem. Eng. & Mater. Sci., Univ. of California, Davis, Davis, CA, USA
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
5043
Lastpage :
5048
Abstract :
This paper presents a methodology to systematically formulate a hybrid renewable energy system (HRES), which consists of solar, wind and diesel generator as a backup resource as well as battery storage, from the preliminary design stage to the optimal operation. Detailed modeling of each system component, including photovoltaic(PV) panels, wind turbines and lead-acid batteries, are introduced as the basis for simulation. System sizing considering energy flows is conducted to get the optimal combination of PV and wind generation units. Power management strategies from both the demand-side and generation-side are developed to realize the objectives of meeting the electricity demand while minimizing the overall operating and environmental costs. Real-time weather forecasting and model updating are also integrated into the proposed methodology using a receding horizon optimization strategy.
Keywords :
demand side management; diesel-electric power stations; optimisation; renewable energy sources; solar power stations; wind power plants; demand response; demand side management; energy flows; generation side management; lead acid batteries; photovoltaic panels; power management; residential hybrid renewable energy systems; wind turbines; Batteries; Electricity; Generators; Meteorology; Optimization; Real-time systems; Renewable energy sources; Demand response; Forecasting; Hybrid renewable energy systems; Operational optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6859105
Filename :
6859105
Link To Document :
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