| 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)
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| Department | 工业控制网络与系统研究室 |
| Conference Name | 2014 2nd International Conference on Renewable Energy and Environmental Technology (REET 2014) |
| Conference Date | August 19-20, 2014 |
| Conference Place | Dalian, China |
| Source Publication | Applied Mechanics and Materials |
| Publisher | Trans Tech Publications |
| Publication Place | Zurich-Durnten, Switzerland |
| 2014 | |
| Pages | 1322-1328 |
| Indexed By | EI |
| EI Accession number | 20150300434193 |
| Contribution Rank | 1 |
| ISBN | 1662-7482 |
| Keyword | Microgrid Energy Scheduling Optimization Stochastic Programming Scenarios Generation |
| Abstract | 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. |
| Language | 英语 |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/15365 |
| Collection | 工业控制网络与系统研究室 |
| Corresponding Author | Li HP(李鹤鹏) |
| Affiliation | 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 |
| Recommended Citation 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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| File Name/Size | DocType | Version | Access | License | ||
| Scenario-based Stoch（524KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Download | ||
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