DocumentCode :
180097
Title :
Stochastic resource planning strategy to improve the efficiency of microgrid operation
Author :
Zhaohao Ding ; Wei-Jen Lee ; Juanjuan Wang
Author_Institution :
Energy Syst. Res. Center, Univ. of Texas at Arlington, Arlington, TX, USA
fYear :
2014
fDate :
5-9 Oct. 2014
Firstpage :
1
Lastpage :
8
Abstract :
The intermittence nature of distributed renewable generation presents significant challenges for microgrid operation. Advanced demand side management, with innovative structures and technologies, provides feasible solutions for this issue. This paper presents a stochastic resource planning strategy for microgrid to optimally manage its resources on both generation and demand sides to improve the system operation efficiency. An internal pricing strategy is proposed to integrate with traditional operation scheduling model considering both operational and economic constraints. To address the uncertainties in the renewable generation forecasting and customers´ price responsive patterns, the stochastic model is formulated and corresponding solution method is provided. A sample microgrid is utilized to illustrate and compare the effectiveness of the proposed models.
Keywords :
demand side management; distributed power generation; power distribution economics; power distribution planning; power generation economics; power generation planning; pricing; renewable energy sources; stochastic processes; customer price responsive patterns; demand side management; distributed renewable generation; internal pricing strategy; microgrid operation efficiency; renewable generation forecasting; resource management; stochastic resource planning strategy; Elasticity; Energy storage; Generators; Load modeling; Microgrids; Stochastic processes; Supply and demand; Microgrid; demand side management; elasticity; renewable energy integration; stochastic optimization; unit commitment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Society Annual Meeting, 2014 IEEE
Conference_Location :
Vancouver, BC
Type :
conf
DOI :
10.1109/IAS.2014.6978379
Filename :
6978379
Link To Document :
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