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A stochastic programming strategy in microgrid cyber physical energy system for energy optimal operation
Li HP(李鹤鹏); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Li ZW(李忠文)
Department工业控制网络与系统研究室
Source PublicationIEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2015
Volume2Issue:3Pages:296-303
Indexed ByEI ; CSCD
EI Accession number20152901039647
CSCD IDCSCD:5474647
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China (61100159, 61233007), National High Technology Research and Development Program of China (863 Program) (2011AA040103), Foundation of Chinese Academy of Sciences (KGCX2-EW-104), Financial Support of the Strategic Priority Research Program of Chinese Academy of Sciences (XDA06021100), and the Cross-disciplinary Collaborative Teams Program for Science, Technology and Innovation, of Chinese Academy of Sciences-Network and System Technologies for Security Monitoring and Information Interaction in Smart Grid Energy Management System for Micro-smart Grid
KeywordMicrogrids (Mgs) Cyber Physical Energy System (Cpes) Uncertainty Stochastic Programming Energy Optimal Operation
AbstractThis paper focuses on the energy optimal operation problem of microgrids (MGs) under stochastic environment. The deterministic method of MGs operation is often uneconomical because it fails to consider the high randomness of unconventional energy resources. Therefore, it is necessary to develop a novel operation approach combining the uncertainty in the physical world with modeling strategy in the cyber system. This paper proposes an energy scheduling optimization strategy based on stochastic programming model by considering the uncertainty in MGs. The goal is to minimize the expected operation cost of MGs. The uncertainties are modeled based on autoregressive moving average (ARMA) model to expose the effects of physical world on cyber world. Through the comparison of the simulation results with deterministic method, it is shown that the effectiveness and robustness of proposed stochastic energy scheduling optimization strategy for MGs are valid.
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/16823
Collection工业控制网络与系统研究室
Corresponding AuthorLi HP(李鹤鹏)
AffiliationLaboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Li HP,Zang CZ,Zeng P,et al. A stochastic programming strategy in microgrid cyber physical energy system for energy optimal operation[J]. IEEE/CAA Journal of Automatica Sinica,2015,2(3):296-303.
APA Li HP,Zang CZ,Zeng P,Yu HB,&Li ZW.(2015).A stochastic programming strategy in microgrid cyber physical energy system for energy optimal operation.IEEE/CAA Journal of Automatica Sinica,2(3),296-303.
MLA Li HP,et al."A stochastic programming strategy in microgrid cyber physical energy system for energy optimal operation".IEEE/CAA Journal of Automatica Sinica 2.3(2015):296-303.
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