Research on intelligent manufacturing system of sustainable development

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 数字工厂研究室

	Research on intelligent manufacturing system of sustainable development
	Zhang DY(张丁一)2,3; Qu YL(曲艳丽)2,3; Wang P(王鹏)1,2,3; Fang LS(房灵申)2,3
	2019
会议日期	November 22-24, 2019
会议地点	Shanghai, China
关键词	Manufacturing Sustainable Intelligent Manufacturing System Research
页码	657-660
英文摘要	Demand response is considered as a valuable functionality of the power grid and its potential impacts continue expanding with grid modernization. Colocation data centers (simply called colocation) are recognized as a notably promising resource for demand response due to their high power demand and remarkable potential in demand management. A major challenge of colocation demand response is the split incentive, that is, colocation operators desire demand response for financial compensation while tenants may not embrace demand response due to lack of incentives. Another key challenge is caused by renewable energy co-located with data centers. Demand response mechanisms overlooking the uncertainty of renewable would cause much inefficiency in terms of energy saving and economic aspects. Existing work considers the two challenges separately in the context of data centers. By contrast, this work jointly addresses them and specially studies mechanism design for colocation data centers in presence of co-located renewable. We propose a hierarchical demand response scheme, which is based on a new two-level market mechanism that results in a win-win situation for both parties, i.e., tenants who choose to reduce power demand obtain financial rewards from the operator, while the operator receives financial compensation from the electric power company due to its tenants' demand reduction. At each demand response period, the colocation operator solicits bids (amount of energy reduction) from tenants and tenants who choose to participate responds to the operator with their bids. The proposed mechanism provably converges to a unique equilibrium solution, and at the equilibrium, neither the operator or tenants can improve their individual economic performance by changing their own strategies. Further, we present a stochastic optimization based algorithm, which uses predictions of the co-located renewable to determine the colocation operator's best strategy. At the equilibrium, the algorithm has a provable economic performance guarantee in terms of the prediction error. We finally evaluate the designed mechanism via detailed simulations and the results show the efficacy and validate the theoretical analysis for the mechanism.
产权排序	1
会议录	Proceedings - 2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing, WCMEIM 2019
会议录出版者	IEEE
会议录出版地	NEW YORK
语种	英语
ISBN号	978-1-7281-5045-1
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/26540]
专题	沈阳自动化研究所_数字工厂研究室
通讯作者	Zhang DY(张丁一)
作者单位	1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Science, Shenyang 110016, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式 GB/T 7714	Zhang DY,Qu YL,Wang P,et al. Research on intelligent manufacturing system of sustainable development[C]. 见:. Shanghai, China. November 22-24, 2019.