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题名: Combined Two-Stage Stochastic Programming and Receding Horizon Control Strategy for Microgrid Energy Management Considering Uncertainty
作者: 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
通讯作者: 于海斌
关键词: energy management ; microgrid ; recording horizon control ; stochastic programming ; uncertainty
刊名: ENERGIES
ISSN号: 1996-1073
出版日期: 2016
卷号: 9, 期号:7, 页码:1-16
收录类别: SCI
产权排序: 1
项目资助者: 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记录号: WOS:000381497300022
WOS标题词: Science & Technology ; Technology
类目[WOS]: Energy & Fuels
关键词[WOS]: MODEL-PREDICTIVE CONTROL ; ELECTRIC-POWER SYSTEMS ; ROBUST OPTIMIZATION ; OPTIMAL OPERATION ; STORAGE ; DEMAND ; GENERATION ; FRAMEWORK ; DISPATCH
研究领域[WOS]: Energy & Fuels
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/19203
Appears in Collections:工业控制网络与系统研究室_期刊论文

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Recommended Citation:
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.
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