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Impact of heat, power and hydrogen generation on optimal placement and operation of fuel cell power plants

机译:热,电和氢的产生对燃料电池发电厂的最佳布置和运行的影响

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In this paper, a stochastic model is proposed for planning the location and operation of Fuel Cell Power Plants (FCPPs) as Combined Heat, power, and Hydrogen (CHPH) units. Total cost, emissions of FCPPs and substation, and voltage deviation are the objective functions to be minimized. Location and operation of FCPPs as CHPH are considered in this paper while their investment cost is not taken into account. In the proposed model, indeterminacy refers to electrical and thermal loads forecasting, pressure of oxygen and hydrogen, and the nominal temperature of FCPPs. In this method, scenarios are produced using roulette wheel mechanism and probability distribution function of input random variables. Using this method, the probabilistic problem is considered to be distributed as some scenarios and consequently probabilistic problem is considered as combination of some deterministic problems. Considering the nature of objective functions, the problem of locating and operating FCPPs as CHPH is considered as a mixed integer nonlinear problem. A Self Adaptive Charged System Search (SACSS) algorithm is employed for determining the best Pareto optimal set. Furthermore, a set of non-dominated solutions is saved in repository during simulation procedure. A 69-bus distributed system is used for verifying the beneficiary proposed method.
机译:在本文中,提出了一种随机模型,用于规划燃料电池发电厂(FCPP)的位置和运行,作为热电联产(CHPH)单元。总成本,FCPP和变电站的排放以及电压偏差是需要最小化的目标函数。本文将CHPP作为CHPH的位置和操作进行了考虑,但未考虑其投资成本。在提出的模型中,不确定性是指电力和热负荷预测,氧气和氢气的压力以及FCPP的标称温度。在这种方法中,使用轮盘赌机制和输入随机变量的概率分布函数来产生场景。使用这种方法,概率问题被视为按某些情况分布,因此概率问题被视为某些确定性问题的组合。考虑到目标函数的性质,将FCPP作为CHPH进行定位和操作的问题被视为混合整数非线性问题。自适应收费系统搜索(SACSS)算法用于确定最佳帕累托最优集。此外,在仿真过程中,一组非主导解决方案被保存在存储库中。使用69总线的分布式系统来验证受益人提出的方法。

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