Stochastic Optimization of Renewable-Based Microgrid Operation Incorporating Battery Operating Cost

被引:168
作者
Nguyen, Tu A. [1 ]
Crow, M. L. [1 ]
机构
[1] Missouri Univ Sci & Technol, Dept Elect & Comp Engn, Rolla, MO 65401 USA
基金
美国国家科学基金会;
关键词
Energy storage; microgrids; renewable energy; unit commitment; ENERGY-STORAGE; WIND; DEMAND;
D O I
10.1109/TPWRS.2015.2455491
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Integration of renewable energy resources in microgrids has been increasing in recent decades. Due to the randomness in renewable resources such as solar and wind, the power generated can deviate from forecasted values. This variation may cause increased operating costs for committing costly reserve units or penalty costs for shedding load. In addition, it is often desired to charge/discharge and coordinate the energy storage units in an efficient and economical way. To address these problems, a novel battery operation cost model is proposed which considers a battery as an equivalent fuel-run generator to enable it to be incorporated into a unit commitment problem. A probabilistic constrained approach is used to incorporate the uncertainties of the renewable sources and load demands into the unit commitment (UC) and economic dispatch problems.
引用
收藏
页码:2289 / 2296
页数:8
相关论文
共 30 条
[1]  
[Anonymous], 2009, World Electric Vehicle Journal
[2]  
[Anonymous], P IEEE PES GEN M
[3]  
Bertsekas Dimitri P., 2018, Abstract Dynamic Programming, V2nd
[4]   Probabilistic Economic Emission Dispatch Optimization of Multi-Sources Power System [J].
Bilil, Hasnae ;
Aniba, Ghassane ;
Maaroufi, Mohamed .
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY (TMREES14 - EUMISD), 2014, 50 :789-796
[5]   A stochastic dynamic programming model for optimal use of local energy resources in a market environment [J].
Costa, Luis M. ;
Kariniotakis, George .
2007 IEEE LAUSANNE POWERTECH, VOLS 1-5, 2007, :449-454
[6]   A new approach to quantify reserve demand in systems with significant installed wind capacity [J].
Doherty, R ;
O'Malley, M .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (02) :587-595
[7]  
ElDesouky AA, 2013, INT J RENEW ENERGY R, V3, P951
[8]  
Hatziargyriou N., 2014, MICROGRID ARCHITECTU
[9]  
Hodge BM, 2011, IEEE POW ENER SOC GE
[10]  
Hung D., IEEE T POWE IN PRESS