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Two-stage stochastic programming based model predictive control strategy for microgrid energy management under uncertainties
Li ZW(李忠文); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Li HP(李鹤鹏)
作者部门工业控制网络与系统研究室
会议名称International Conference on Probabilistic Methods Applied to Power Systems
会议日期October 16-20, 2016
会议地点Beijing
会议录名称2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
出版者IEEE
出版地New York
2016
页码1-6
收录类别EI ; CPCI(ISTP)
EI收录号20171203453752
WOS记录号WOS:000392327900032
产权排序1
ISBN号978-1-5090-1971-7
关键词Energy Management Microgrid Model Predictive Control Stochastic Programming Uncertainty
摘要Microgrids (MGs) are presented as a cornerstone of smart grid, which can integrate intermittent renewable energy sources (RES), storage system, and local loads environmentally and reliably. Due to the randomness in RES and load, a great challenge lies in the optimal operation of MGs. Two-stage stochastic programming (SP) can involve the forecast uncertainties of load demand, photovoltaic (PV) and wind production in the optimization model. Thus, through two-stage SP, a more robust scheduling plan is derived, which minimizes the risk from the impact of uncertainties. The model predictive control (MPC) can effectively avoid short sighting and further compensate the uncertainty within the MG through a feedback mechanism. In this paper, a two-stage SP based MPC stratey is proposed for microgrid energy management under uncertainties, which combines the advantages of both two-stage SP and MPC. The results of numerical experiments explicitly demonstrate the benefits of the proposed strategy.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19515
专题工业控制网络与系统研究室
通讯作者Li ZW(李忠文)
作者单位Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Li ZW,Zang CZ,Zeng P,et al. Two-stage stochastic programming based model predictive control strategy for microgrid energy management under uncertainties[C]. New York:IEEE,2016:1-6.
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