題目：Joint Planning of Wind Energy Storage and Transmission
主講人：梁湧 助理教授（清華大學(xué)經(jīng)濟(jì)偉德國際1946bv官網(wǎng)）
時(shí)間：2016年12月21日上午10:15-11:00
地點(diǎn)：主樓216
主講人介紹：
梁湧，清華大學(xué)經(jīng)濟(jì)偉德國際1946bv官網(wǎng)管理科學(xué)與工程系助理教授。2005年獲得清華大學(xué)學(xué)士學(xué)位，2008年獲得普渡大學(xué)碩士學(xué)位，2013獲得加州大學(xué)伯克利分校工業(yè)工程及運(yùn)籌學(xué)博士學(xué)位。加入清華大學(xué)之前，曾在谷歌公司任職并領(lǐng)導(dǎo)對數(shù)據(jù)中心相關(guān)優(yōu)化問題的研究。主要研究領(lǐng)域?yàn)閯?dòng)態(tài)規(guī)劃、隨機(jī)優(yōu)化、魯棒優(yōu)化理論以及在運(yùn)營管理中的應(yīng)用；能源經(jīng)濟(jì)、能源市場、智能電網(wǎng)用戶端最優(yōu)控制；供應(yīng)鏈管理。主持國家自然科學(xué)基金青年項(xiàng)目1項(xiàng)。研究成果發(fā)表在OR、OMEGA、 IEEE Trans. on Smart Grid、Energy Journal等期刊上。
主講內(nèi)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(xué)與物流系，科研與學(xué)術(shù)交流中心）
