Advances in energy, environment and materials science : by Yeping Wang, Jianhua Zhao

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By Yeping Wang, Jianhua Zhao

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

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Additional 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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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. Liu Kewen, Pu Tianjiao, Zhou Haiming, et al. 2013. A Short Term Wind Power Forecasting Model Based on Combination Algorithms. Proceedings of the CSEE, (34). , Guohui X. 2011. Probabilistic Calculation and Confidence Interval Estimation of Several Wind Farm Penetration Limit. Acta Energiae Solaris Sinica, 4: 020.

E. indb 27 12/9/2015 4:36:01 AM β that P C′ C < a α ( P + C ″ ), will it be possible that transactions between wind and thermal power vendors happen in the joint ancillary service market. In that case, their business possibility is related to the generating capacity of wind power, the compensation level of ancillary services, current prices of electricity and the capability of wind and thermal power vendors have to provide ancillary services. ACKNOWLEDGMENT Figure 1. The dynamic evolution game process of thermal and wind power vendors.

If and only if P C′ C < a α ( P + C ″ ), D is the fifth equilibrium. The equation is: J= (β P x( − x )( )( a − c ′ ) ( − y )[ x( 2 ) + βC β P − Q2 P ] 1 ⎛ Q P − β P βC ″ P ⎞ SOADB = ⎜ 2 + 2⎝ Q2 P − α a a C ′ ⎟⎠ In Table 2, for different equilibrium, if the sign of Jacobian is positive but the symbol of the trace is negative, the corresponding equilibrium will be stable. If the sign of Jacobian is positive and the symbol of the trace is positive too, the corresponding equilibrium will be unstable.

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