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12-21 清華大學經濟偉德國際1946bv官網助理教授梁湧博士學術講座:Joint Planning of Wind Energy Storage and Transmission

題目:Joint Planning of Wind Energy Storage and Transmission

主講人:梁湧 助理教授(清華大學經濟偉德國際1946bv官網)

時間:2016年12月21日上午10:15-11:00

地點:主樓216

主講人介紹:

    梁湧,清華大學經濟偉德國際1946bv官網管理科學與工程系助理教授。2005年獲得清華大學學士學位,2008年獲得普渡大學碩士學位,2013獲得加州大學伯克利分校工業工程及運籌學博士學位。加入清華大學之前,曾在谷歌公司任職并領導對數據中心相關優化問題的研究。主要研究領域為動態規劃、隨機優化、魯棒優化理論以及在運營管理中的應用;能源經濟、能源市場、智能電網用戶端最優控制;供應鏈管理。主持國家自然科學基金青年項目1項。研究成果發表在OR、OMEGA、 IEEE Trans. on Smart Grid、Energy Journal等期刊上。

主講內容:

    Regions with abundant wind resources usually have no ready access to the existing electric grid. However, building transmission lines that instantaneously deliver all geographically distributed wind energy can be costly. Energy storage (ES) systems can help reduce the cost of bridging wind farms and grid, and mitigate the intermittency of wind outputs. In this paper, we propose models of transmission network planning with co-location of ES systems. Our models determine the sizes and sites of ES systems as well as the associated topology and capacity of the transmission network under the feed-in-tariff (FIT) policy instrument. We first formulate a location model as a mixed integer second-order-conic program (MISOCP) to solve for the ES-transmission network design with uncapacitated storage. Then we propose a method to choose ES sizes by deriving a closed-form upper bound. The major insight is that, in most cases, using even small-sized ES systems can significantly reduce the total expected cost, but their marginal values diminish faster than those of the transmission lines as their capacities expand. Despite uncertainties in climate, technologies and construction costs, the cost-ecient infrastructure layout is remarkably robust. We also identify the major bottleneck cost factors for different forms of ES technologies. 

 

(承辦:管理科學與物流系,科研與學術交流中心

 

 

 

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