DocumentCode :
1795500
Title :
Optimal energy management for building microgrid with constrained renewable energy utilization
Author :
Hieu Trung Nguyen ; Long Bao Le
Author_Institution :
INRS-EMT, Univ. of Quebec, Montréal, QC, Canada
fYear :
2014
fDate :
3-6 Nov. 2014
Firstpage :
133
Lastpage :
138
Abstract :
In this paper, we consider the energy management for a building microgrid considering a probabilistic constraint on the renewable energy utilization. Facilitated by the microgrid technology with integrated renewable energy resources, we assume that the building microgrid can participate in the electricity market to efficiently utilize the renewable energy and reduce electricity cost. In this paper, we develop an optimal energy management framework for the building microgrid considering various building loads, renewable energy, storage facility, and a natural gas combined heat and power (CHP) system. In addition, we employ the chance constrained and two-stage stochastic programming approach in our design to ensure efficient utilization of the renewable energy and to capture various system uncertainties. The proposed solution addresses the risk that available renewable energy may not be fully utilized due to its intermittent nature. Extensive numerical results are presented to illustrate the effectiveness of our proposed design.
Keywords :
buildings (structures); cogeneration; distributed power generation; energy management systems; natural gas technology; power markets; probability; renewable energy sources; stochastic programming; CHP system; building loads; building microgrid; combined heat and power system; electricity cost; electricity market; energy management; microgrid technology; natural gas; probabilistic constraint; renewable energy resources; renewable energy utilization; stochastic programming; storage facility; system uncertainties; Buildings; Cogeneration; Electricity; Microgrids; Renewable energy sources; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on
Conference_Location :
Venice
Type :
conf
DOI :
10.1109/SmartGridComm.2014.7007635
Filename :
7007635
Link To Document :
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