Scenario-based Stochastic Programming Strategy for Microgrid Energy Scheduling Considering Uncertainties

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	Scenario-based Stochastic Programming Strategy for Microgrid Energy Scheduling Considering Uncertainties
	Li HP(李鹤鹏); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Li ZW(李忠文)
作者部门	工业控制网络与系统研究室
会议名称	2014 2nd International Conference on Renewable Energy and Environmental Technology (REET 2014)
会议日期	August 19-20, 2014
会议地点	Dalian, China
会议录名称	Applied Mechanics and Materials
出版者	Trans Tech Publications
出版地	Zurich-Durnten, Switzerland
	2014
页码	1322-1328
收录类别	EI
EI收录号	20150300434193
产权排序	1
ISBN号	1662-7482
关键词	Microgrid Energy Scheduling Optimization Stochastic Programming Scenarios Generation
摘要	The inherent random and intermittence of the renewable energy resources pose a huge challenge to the Microgrid (MG) energy management systems (EMS). In order to mitigate the effects of uncertainties, we propose a novel two-stage stochastic programming model for the energy scheduling optimization by considering the uncertainties in solar and wind generation, and the plug-in electric vehicles (EV). The random nature of uncertainty is characterized by a scenarios generation approach based on autoregressive moving average (ARMA) model according to probability density function of each random variable. By use of the strategy of scenarios simulation, the stochastic problem is decomposed into the deterministic equivalent problem. The firefly algorithm (FA) is used to solve the equivalent model. The effectiveness and robust of proposed stochastic energy scheduling optimization strategy for MG is valid by comparison with the simulation results of deterministic method.
语种	英语
文献类型	会议论文
条目标识符	http://ir.sia.cn/handle/173321/15365
专题	工业控制网络与系统研究室
通讯作者	Li HP(李鹤鹏)
作者单位	1.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 2.University of Chinese Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	Li HP,Zang CZ,Zeng P,et al. Scenario-based Stochastic Programming Strategy for Microgrid Energy Scheduling Considering Uncertainties[C]. Zurich-Durnten, Switzerland:Trans Tech Publications,2014:1322-1328.

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