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Description: 考虑风电的FTR拍卖模型研究论文基于蒙特卡罗模拟的遗传算法源程序-Consider the wind power of FTR auction model based on Monte Carlo simulation studies of the genetic algorithm source code
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Size: 6144 |
Author: 杨一冰 |
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Description: Wind blade chord and twist angle optimization by using
genetic algorithms
Juan M´ endez and David Greiner
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Size: 281600 |
Author: PEN |
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Description: We propose the optimum configurations for PV wind generating systems in residences using hourly data over a year. We assume that a residence is one house consuming average electrical energy in south of Algeria (Sahara area). Genetic algorithm (GA) is used as an optimization method in this paper. The purpose of this study is to minimize the objective function of GA. The objective function is the total cost of PV wind system.
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Size: 124928 |
Author: mimo |
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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.
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Size: 1295360 |
Author: peter |
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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.
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Size: 524288 |
Author: peter |
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Description: 遗传算法解决含有风电场的电力系统机组组合问题-Genetic Algorithm for Power System with wind farm unit commitment problem
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Size: 565248 |
Author: 汪洋 |
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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.
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Size: 138240 |
Author: zan |
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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.
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Size: 66560 |
Author: chentiange |
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Description: OPTIMIZATION OF A WIND TURBINE
ROTOR WITH VARIABLE AIRFOIL
SHAPE VIA A GENETIC ALGORITHM
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Size: 783360 |
Author: Enkhbayar |
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Description: Genetic Algorithms for Optimal Reactive
Power Compensation of a Power System
with Wind Generators based on Artificial
Neural Networks
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Size: 486400 |
Author: Troy |
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Description: Its an IEEE paper on Optimization of Electric Distribution System of
Large Offshore Wind Farm with Improved
Genetic Algorithm.
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Size: 166912 |
Author: kamaljeet |
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Description: 运用GA遗传算法优化BP网络，对风电功率进行预测，含实际数据和案例。-GA genetic algorithm to optimize the use of BP network prediction for wind power, with actual data and case studies.
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Size: 14336 |
Author: Victoria |
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Description: A Genetic Algorithm-Based Low Voltage
Ride-Through Control Strategy for Grid Connected
Doubly Fed Induction Wind Generators
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Size: 1770496 |
Author: hakkeem |
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Description: Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and Genetic algorithm
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Size: 3072 |
Author: payam/hamid |
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Description: This paper deals with the application of Heuristic
and Genetic Algorithms to solve the demand planning problem in
smart homes, in order to reduce the total monetary value of
consumed energy or offset the seasonality based electric
generators renewable sources such as wind and solar generators.
The demand management application takes into account the
presence of distributed generation, time-differentiated prices
(White Tariff), priority of loads and prepaid rate.-This paper deals with the application of Heuristic
and Genetic Algorithms to solve the demand planning problem in
smart homes, in order to reduce the total monetary value of
consumed energy or offset the seasonality based electric
generators renewable sources such as wind and solar generators.
The demand management application takes into account the
presence of distributed generation, time-differentiated prices
(White Tariff), priority of loads and prepaid rate.
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Size: 22088704 |
Author: vel |
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Description: 使用遗传算法优化风、光、燃气互补发电最佳配置(Genetic algorithm is used to optimize the optimal configuration of wind, light and gas complementary power generation)
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Size: 439296 |
Author: sxf123 |
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Description: 用遗传算法来实现含有各种能源形式 的der单元的能量调度，实现经济化。含光电。风电等多种单元。 该算法中首先根据各种DER单元的模型列出了各个单元的经济成本公式，包含诸如运行成本、维护成本以及环境等各种费用。然后根据一天的负荷预测图，在不同的控制策略下进行经济调度，计算出各个单元 最佳出力，即输出功率。 目标函数就是成本最低，限制条件包括功率平衡，以及各个单元的输出限制等 "(The genetic algorithm is used to realize the energy dispatch of Der cells with various forms of energy and achieve economy.Contains photoelectricity.Wind power and many other units.The algorithm first lists the economic cost formulas of each DER unit according to the model of each DER unit, including various costs such as operation cost, maintenance cost and environment.Then, according to the one-day load forecasting chart, economic dispatch is carried out under different control strategies, and the optimal output power of each unit, that is, output power, is calculated.The objective function is the lowest cost, and the limitations include power balance and output limits for each unit.)
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Size: 16384 |
Author: 只等燕归来 |
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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)
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Size: 321536 |
Author: 4hs22eas |
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