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By Yeping Wang, Jianhua Zhao

The foreign convention on strength, atmosphere and fabrics technological know-how (EEMS2015) was held in Guangzhou, China, from August 25 - 26, 2015. EEMS2015 provided a platform for academic scientists, researchers and students to replace and proportion their stories and learn effects in the fields of energy technology, power expertise, environmental technology, environmental engineering, motivation, automation and electric engineering, fabric technology and engineering, the invention or improvement of power, and environment and fabrics technology.

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Extra resources for Advances in energy, environment and materials science : proceedings of the International Conference on Energy, Environment and Materials Science (EEMS 2015), Guanghzou, P.R. China, 25-26 August, 2015

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Design of wind power dispatch automation system in Jilin power grid [J]. Automation of Electric Power Systems, 2011, 35(11): 39–42. Geng Jing, Yan Zheng, Jiang Chuan-wen, et al. The studies of peak regulation transaction considering environment costs [J]. Power System Protection and Control, 2011, 39(20): 111–114. Han Zi-fen, Chen Qi-juan. Wind power dispatch model based on constraints [J]. Automation of Electric Power Systems, 2010, 34(2): 89–92. Hou Ting-ting, Lou Su-hua, Zhang Zi-hua, et al.

2008. Using standard deviation as a measure of increased operational reserve requirement for wind power. Wind Engineering, 32(4): 355–378. Li Yu. 2013. A Discussion on the Transaction Systems of Wind and Thermal Power Units’ Startup/shutdown Peak-regulated Ancillary Services Based on a Largescale Wind Power Grid. Inner Mongolia Science Technology & Economics, (16): 75–77. Liu Chun, Fan Gaofeng, Wang Weisheng et al. 2009. A combination forecasting model for wind farm output power. Power System Technology, 33(13): 74–79.

With the increase of wind power installed capacity, the effect caused by the instability of wind power load is more and more significant. It is more difficult for thermal power units to provide corresponding ancillary services. This will surely affect the fairness of generating vendors (Li 2013). Zhang (2010) through the simulation of chronological load curve and wind power output sequence curves in planning years analyzed the influence of large-scale wind power system on peak-regulation from a new perspective.

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