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Optimal coordinated scheduling of combined heat and power fuel cell, wind, and photovoltaic units in micro grids considering uncertainties

机译:考虑不确定性的微电网中热电联产燃料电池,风能和光伏装置的最优协调调度

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In this paper, a stochastic model is proposed for coordinated scheduling of combined heat and power units in micro grid considering wind turbine and photovoltaic units. Uncertainties of electrical market price; the speed of wind and solar radiation are considered using a scenario-based method. In the method, scenarios are generated using roulette wheel mechanism based on probability distribution functions of input random variables. Using this method, the probabilistic specifics of the problem are distributed and the problem is converted to a deterministic one. The type of the objective function, coordinated scheduling of combined heat and power, wind turbine, and photovoltaic units change this problem to a mixed integer nonlinear one. Therefore to solve this problem modified particle swarm optimization algorithm is employed. The mentioned uncertainties lead to an increase in profit. Moreover, the optimal coordinated scheduling of renewable energy resources and thermal units in micro grids increase the total profit. In order to evaluate the performance of the proposed method, its performance is executed on modified 33 bus distributed system as a micro grid. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文提出了一种考虑风轮机和光伏发电单元的微电网热电联产协调调度的随机模型。电力市场价格不确定性;使用基于情景的方法来考虑风速和太阳辐射的速度。在该方法中,基于输入随机变量的概率分布函数,使用轮盘机制生成场景。使用这种方法,可以分配问题的概率特征,然后将问题转换为确定性问题。目标函数的类型,热电联产的协调调度,风力涡轮机和光伏发电单元将此问题更改为混合整数非线性问题。因此,为解决这一问题,采用了改进的粒子群算法。上述不确定性导致利润增加。此外,微电网中可再生能源和热力单元的最佳协调调度可增加总利润。为了评估所提出方法的性能,其性能在改进的33总线分布式系统上作为微电网执行。 (C)2016 Elsevier Ltd.保留所有权利。

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