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
Abstract :
The intermittent 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 the 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 the 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 the 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 generation planning; advanced demand-side management; distributed renewable generation; internal pricing strategy; microgrid operation; renewable generation forecasting; stochastic resource planning strategy; Elasticity; Energy storage; Generators; Load modeling; Microgrids; Pricing; Stochastic processes; Demand-side management (DSM); Microgrid; demand side management; elasticity; microgrid; renewable energy integration; stochastic optimization; unit commitment;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2014.2375379