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W火焰锅炉低NO_(x)燃烧新系统C风风率优化数值模拟研究
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作者 周安鹂 缪伦奇 《科学技术创新》 2021年第17期39-41,共3页
采用数值模拟的方法,对某电厂一台具有低NO_(x)燃烧新系统的W火焰锅炉进行了C层二次风的风率优化研究。分析了C风风率对锅炉燃烧特性及NO排放特性的影响。结果表明,C风风率对煤粉燃尽率及NO排放量有较大的影响;随着C风风率的降低,炉内... 采用数值模拟的方法,对某电厂一台具有低NO_(x)燃烧新系统的W火焰锅炉进行了C层二次风的风率优化研究。分析了C风风率对锅炉燃烧特性及NO排放特性的影响。结果表明,C风风率对煤粉燃尽率及NO排放量有较大的影响;随着C风风率的降低,炉内温度水平降低,煤粉燃尽率降低,NO排放量也随之降低。 展开更多
关键词 W火焰锅炉 低NO_(x)排放 风率优化 数值模拟
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Analysis of Optimal Portfolio with Different Utility Function 被引量:2
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作者 YAO Yuan SHI Ben-shan 《Chinese Quarterly Journal of Mathematics》 CSCD 北大核心 2006年第1期124-128,共5页
The question of optimal portfolio is that finds the trading strategy satisfying the maximal expected utility function subject to some constraints. There is the optimal trading strategy under the risk neutral probabili... The question of optimal portfolio is that finds the trading strategy satisfying the maximal expected utility function subject to some constraints. There is the optimal trading strategy under the risk neutral probability measure (martingale measure) if and only if there is no-arbitrage opportunity in the market. This paper argues the optimal wealth and the optimal value of expected utility with different utility function. 展开更多
关键词 expected utility function OPTIMIZATION PORTFOLIO risk neutral probability
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Design of Wind Turbine Torque Controller with Second‑Order Integral Sliding Mode Based on VGWO Algorithm 被引量:3
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作者 MA Leiming XIAO Lingfei +1 位作者 SATTAROV Robert R HUANG Xinhao 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2021年第2期259-270,共12页
A robust control strategy using the second-order integral sliding mode control(SOISMC)based on the variable speed grey wolf optimization(VGWO)is proposed.The aim is to maximize the wind power extraction of wind turbin... A robust control strategy using the second-order integral sliding mode control(SOISMC)based on the variable speed grey wolf optimization(VGWO)is proposed.The aim is to maximize the wind power extraction of wind turbine.Firstly,according to the uncertainty model of wind turbine,a SOISMC torque controller with fast convergence speed,strong robustness and effective chattering reduction is designed,which ensures that the torque controller can effectively track the reference speed.Secondly,given the strong local search ability of the grey wolf optimization(GWO)and the fast convergence speed and strong global search ability of the particle swarm optimization(PSO),the speed component of PSO is introduced into GWO,and VGWO with fast convergence speed,high solution accuracy and strong global search ability is used to optimize the parameters of wind turbine torque controller.Finally,the simulation is implemented based on Simulink/SimPowerSystem.The results demonstrate the effectiveness of the proposed strategy under both external disturbance and model uncertainty. 展开更多
关键词 integral sliding mode second-order sliding mode maximum power point tracking optimization algorithm wind turbine
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