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[Mathimatics-Numerical algorithms] yichuansuanfayingyongyanjiu

Description: 摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modeling method. Identification method based on genetic algorithm has strong anti-jamming ability, low, high-end systems, delay systems can achieve very good recognition results. According to unit power plant low-level non-linear model, derived a double inlet and outlet, can describe the dynamic characteristics and boiler-turbine unit is coupled between two relations, coordination and control system transfer function matrix. Turn model was proposed based on improved genetic algorithm based on parameter identification method.
Platform: | Size: 118784 | Author: space6 | Hits:

[AI-NN-PR] GAforWINDTURBINE

Description: 这是有关采用遗传算法来对风力机叶片进行优化的相关论文，有需要的可以看下。-This is the use of genetic algorithm to optimize wind turbine related papers, we need to look.
Platform: | Size: 1295360 | Author: peter | Hits:

[AI-NN-PR] optimal

Description: 这是采用MATLAB语言编写的遗传算法程序，用于风力机叶片的优化设计，可以一起探讨。-It is written using MATLAB genetic algorithm procedure for optimal design of wind turbine blades, and you can explore.
Platform: | Size: 524288 | Author: peter | Hits:

[Algorithm] windturb

Description: 采用遗传算法对风力机叶片气动外形进行优化设计，快速有效-Genetic algorithm to optimize the design of wind turbine blades aerodynamic shape, quickly and efficiently.
Platform: | Size: 138240 | Author: zan | Hits:

[matlab] Wind-turbine-blades-design

Description: 本文利用MATLAB的遗传算法工具箱，对弦长和扭角沿风力机展向分布进行优化，得到设计工况下的最优叶片设计。目标函数是设计工况下基于动量叶素理论和Glauert等修正所得出的功率系数。在设计工况下得到的设计结果，其功率系数在一定的风速范围内都能保持一个较高的数值，同时其有效攻角分布大致都在所选翼型的升力与阻力系数的比值最大处，与理论相符合。其结果说明该优化实际的有效性。-In this paper, the use of MATLAB genetic algorithm toolbox, chord length and twist angle along the wind turbine development to distribution optimized to obtain the optimal design conditions blade design. The objective function is to design conditions based on the results of momentum blade element theory and Glauert correction power factor. Design results in the design conditions, the power factor within the range of wind speeds can maintain a higher value, the effective angle of attack distribution substantially in the the selected airfoil lift and drag coefficient ratio of maximum , theoretical analysis and show. The results indicate the validity of the actual optimization.
Platform: | Size: 66560 | Author: chentiange | Hits:

[matlab] WindTurbineSpr

Description: OPTIMIZATION OF A WIND TURBINE ROTOR WITH VARIABLE AIRFOIL SHAPE VIA A GENETIC ALGORITHM
Platform: | Size: 783360 | Author: Enkhbayar | Hits:

[assembly language] code(1)

Description: 风电机组： 电价0.6 Pw_max=[2,1,3,4,5,5,4,2,3,5,5,1,2,4,5,5,5,4,3,5,3,3,2,4]; 光伏： 电价0.9 Pf_max=[0,0,0,0,0,0,1,2,3,4,5,5,5,5,4,3,1,0,0,0,0,0,0,0]; 热电机组： 电价 0.4 成本 标准煤价格 500元 电加热： 功率平衡约束： QL=[18,16,12,16,18,20,14,22,12,18,4,20,6,8,4,2,6,8,10,12,14,4,6,2]; PL=[4,3,6,9,1,2,2,3,6,4,5,7,8,2,1,4,5,6,3,5,6,3,4,2]; 初期投资： 初期折旧： 维护： 日总费用 环境成本 弃风弃光成本 目标函数 总的模型 求解方法遗传算法(Wind Turbine: Electricity price 0.6 Pw_max=[2,1,3,4,5,5,4,2,3,5,5,1,2,4,5,5,5,4,3,5,3,3,2,4 ]; Photovoltaic: Electricity price 0.9 Pf_max=[0,0,0,0,0,0,1,2,3,4,5,5,5,5,4,3,1,0,0,0,0,0,0,0 ]; Thermal power unit: Electricity price 0.4 Cost Standard coal price 500 yuan Electric heating: Power balance constraints: QL=[18,16,12,16,18,20,14,22,12,18,4,20,6,8,4,2,6,8,10,12,14,4,6,2 ]; PL=[4,3,6,9,1,2,2,3,6,4,5,7,8,2,1,4,5,6,3,5,6,3,4,2 ]; Initial investment: Initial depreciation: maintain: Total daily cost Environmental cost Cost of abandoning wind and light Objective function Overall model To Genetic algorithm)
Platform: | Size: 321536 | Author: 4hs22eas | Hits:

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