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Combined Two-Stage Stochastic Programming and Receding Horizon Control Strategy for Microgrid Energy Management Considering Uncertainty
Li ZW(李忠文); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌)
作者部门工业控制网络与系统研究室
关键词Energy Management Microgrid Recording Horizon Control Stochastic Programming Uncertainty
发表期刊ENERGIES
ISSN1996-1073
2016
卷号9期号:7页码:1-16
收录类别SCI ; EI
EI收录号20173304051960
WOS记录号WOS:000381497300022
产权排序1
资助机构National Natural Science Foundation of China (NSFC) [61100159, 61233007] ; National High Technology Research and Development Program of China (863 Program) [2011AA040103] ; Foundation of Chinese Academy of Sciences [KGCX2-EW-104] ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA06021100] ; Cross-disciplinary Collaborative Teams Program for Science, Technology and Innovation, of the Chinese Academy of Sciences Network ; system technologies for security monitoring and information interaction in smart grid, and energy management system for micro-smart grid
摘要Microgrids (MGs) are presented as a cornerstone of smart grids. With the potential to integrate intermittent renewable energy sources (RES) in a flexible and environmental way, the MG concept has gained even more attention. Due to the randomness of RES, load, and electricity price in MG, the forecast errors of MGs will affect the performance of the power scheduling and the operating cost of an MG. In this paper, a combined stochastic programming and receding horizon control (SPRHC) strategy is proposed for microgrid energy management under uncertainty, which combines the advantages of two-stage stochastic programming (SP) and receding horizon control (RHC) strategy. With an SP strategy, a scheduling plan can be derived that minimizes the risk of uncertainty by involving the uncertainty of MG in the optimization model. With an RHC strategy, the uncertainty within the MG can be further compensated through a feedback mechanism with the lately updated forecast information. In our approach, a proper strategy is also proposed to maintain the SP model as a mixed integer linear constrained quadratic programming (MILCQP) problem, which is solvable without resorting to any heuristics algorithms. The results of numerical experiments explicitly demonstrate the superiority of the proposed strategy for both island and grid-connected operating modes of an MG.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Energy & Fuels
关键词[WOS]MODEL-PREDICTIVE CONTROL ; ELECTRIC-POWER SYSTEMS ; ROBUST OPTIMIZATION ; OPTIMAL OPERATION ; STORAGE ; DEMAND ; GENERATION ; FRAMEWORK ; DISPATCH
WOS研究方向Energy & Fuels
引用统计
被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/19203
专题工业控制网络与系统研究室
通讯作者Yu HB(于海斌)
作者单位1.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Li ZW,Zang CZ,Zeng P,et al. Combined Two-Stage Stochastic Programming and Receding Horizon Control Strategy for Microgrid Energy Management Considering Uncertainty[J]. ENERGIES,2016,9(7):1-16.
APA Li ZW,Zang CZ,Zeng P,&Yu HB.(2016).Combined Two-Stage Stochastic Programming and Receding Horizon Control Strategy for Microgrid Energy Management Considering Uncertainty.ENERGIES,9(7),1-16.
MLA Li ZW,et al."Combined Two-Stage Stochastic Programming and Receding Horizon Control Strategy for Microgrid Energy Management Considering Uncertainty".ENERGIES 9.7(2016):1-16.
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