Robust Scheduling of Networked Microgrids for Economics and Resilience Improvement

被引:22
作者
Liu, Guodong [1 ]
Ollis, Thomas B. [1 ]
Ferrari, Maximiliano F. [1 ]
Sundararajan, Aditya [1 ]
Tomsovic, Kevin [2 ]
机构
[1] Oak Ridge Natl Lab, Grid Components & Control Grp, POB 2009, Oak Ridge, TN 37831 USA
[2] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
关键词
robust optimization; networked microgrids; uncertainty; economics; resilience; UNIT COMMITMENT; DISTRIBUTION-SYSTEM; OPTIMIZATION; POWER; MODEL; RESTORATION; STRATEGY;
D O I
10.3390/en15062249
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The benefits of networked microgrids in terms of economics and resilience are investigated and validated in this work. Considering the stochastic unintentional islanding conditions and conventional forecast errors of both renewable generation and loads, a two-stage adaptive robust optimization is proposed to minimize the total operating cost of networked microgrids in the worst scenario of the modeled uncertainties. By coordinating the dispatch of distributed energy resources (DERs) and responsive demand among networked microgrids, the total operating cost is minimized, which includes the start-up and shut-down cost of distributed generators (DGs), the operation and maintenance (O&M) cost of DGs, the cost of buying/selling power from/to the utility grid, the degradation cost of energy storage systems (ESSs), and the cost associated with load shedding. The proposed optimization is solved with the column and constraint generation (C&CG) algorithm. The results of case studies demonstrate the advantages of networked microgrids over independent microgrids in terms of reducing total operating cost and improving the resilience of power supply.
引用
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页数:19
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