可再生能源混合电厂建设的数学模型

G. Marchetti, M. Piccolo
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引用次数: 9

摘要

为了在发电厂中开发可再生能源技术,有必要为设计人员提供能够在短时间内识别其使用方便的任何领域的工具,无论是作为单独使用还是作为混合(带备用发电机)项目。考虑的典型可再生能源是太阳能和风能,但结果适用于任何其他能源。电厂的框图包括可再生发电机、蓄电池和备用柴油机发电机。首先,作者基于一个只包含一种可再生随机能源的数学模型进行了分析。该模型将环境统计因素与尺寸参数联系起来,从而与每个块的成本联系起来。然而,由于尺寸不是唯一定义的,该模型将电池自主性作为“变量”,并对其执行优化过程,最终达到最小的总成本。总之,结果输出给出了优化的大小参数或每个块的成本。逐步优化过程包括:考虑年成本与电池自主功能;环境影响的数学方法;可再生发电机组的尺寸标准;所使用的数据库及其分析;模型算法;实验与理论结果的比较;两个可再生能源发电机模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical models for the construction of a renewable energy hybrid plant
In order to develop renewable energy sources technology in power supply plants, it is necessary to provide designers with tools capable of recognizing at short notice any areas of convenience in its utilization, either as a stand-alone or as a hybrid (with generator back-up) project. Typical renewable sources considered are solar and wind energy, but the results are applicable to any other energy source. The block diagram of the plant includes renewable generator(s), storage battery, and standby diesel engine generator. At first, the authors developed an analysis based on a mathematical model that included only one renewable random source. This model related environmental statistical factors to the sizing parameters and consequently to the costs of each block. However, since the sizing is not univocally defined, the model takes the battery autonomy as 'variable' and executes on it an optimization process finalized to minimum overall cost. In conclusion, the resulting output gives either the optimized sizing parameters or the costs of each block. A step-by-step optimization procedure is described including: annual cost vs battery autonomy function consideration; mathematical approach to the environmental influence; sizing criteria of the renewable generator; the database utilized and its analysis; model algorithms; comparison between experimental and theoretical results; and the two renewable generators model.<>
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