Scenario-based Stochastic Programming Strategy for Microgrid Energy Scheduling Considering Uncertainties
文献类型:会议论文
| 作者 | 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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| 出版日期 | 2014 |
| 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 |
| 关键词 | Microgrid energy scheduling optimization stochastic programming scenarios generation |
| 页码 | 1322-1328 |
| 中文摘要 | 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. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议录 | Applied Mechanics and Materials
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| 会议录出版者 | Trans Tech Publications |
| 会议录出版地 | Zurich-Durnten, Switzerland |
| 语种 | 英语 |
| ISBN号 | 1662-7482 |
| 源URL | [http://ir.sia.cn/handle/173321/15365] ![]() |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 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]. 见:2014 2nd International Conference on Renewable Energy and Environmental Technology (REET 2014). Dalian, China. August 19-20, 2014. |
入库方式: OAI收割
来源:沈阳自动化研究所
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