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Techno-economic optimization of grid-connected, ground-mounted photovoltaic power plants by genetic algorithm based on a comprehensive mathematical model

机译：基于综合数学模型的遗传算法通过遗传算法技术经济优化网格连接的地面光伏发电厂

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摘要

The increasing penetration of photovoltaic (PV) technology calls for the development of an effective method for optimization of grid-connected photovoltaic power plants. This paper presents a simultaneous optimization method of ten important design parameters of a PV plant, including the module power, inverter sizing, support structure dimensions, cable losses, module orientation and row spacing. A mathematical PV performance model taking into account the important effects and losses and an economic cost model were developed and presented in detail. The objective function is the internal rate of return and the optimization is performed by a genetic algorithm. The results show that the proposed models and method are capable to optimize the grid-connected PV plant and provide reliable results after a 6-7 min calculation time. The method was demonstrated in detail for a Hungarian location, including the losses and cost structure of the optimal plant configuration. The optimization was also performed for 5 additional sites around the world to assess the effect of location and meteorology. The impact of the decreasing PV module prices on the optimal design is calculated to identify the expected future trends in PV plant design. The presented optimization method can be utilized to facilitate the optimal design of commercial PV plants and for research purposes.
机译：光伏（PV）技术的普及率越来越多地呼吁开发用于优化网格连接的光伏发电厂的有效方法。本文介绍了PV工厂十大重要设计参数的同时优化方法，包括模块电源，逆变器尺寸，支持结构尺寸，电缆损耗，模块方向和行间距。考虑到重要效果和损失的数学PV性能模型和经济成本模型进行了详细介绍。目标函数是内部返回率，并通过遗传算法进行优化。结果表明，所提出的模型和方法能够优化电网连接的光伏设备，并在6-7分钟计算时间后提供可靠的结果。该方法有详细展示了匈牙利地点，包括最佳工厂配置的损失和成本结构。在世界各地的5个其他地点还进行了优化以评估位置和气象的效果。计算光伏模块价格降低对最优设计的影响，以确定光伏工厂设计的预期未来趋势。所提出的优化方法可用于促进商业光伏设备的最佳设计和研究目的。

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  • 来源
    《Solar Energy》 |2020年第5期|210-226|共17页
  • 作者

    Mayer Martin Janos; Grof Gyula;

  • 作者单位

    Tech Univ Budapest Fac Mech Engn Dept Energy Engn Muegyet Rkp 3 H-1111 Budapest Hungary;

    Tech Univ Budapest Fac Mech Engn Dept Energy Engn Muegyet Rkp 3 H-1111 Budapest Hungary;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Grid-connected photovoltaic plants; Modeling; Optimization; Genetic algorithm;

    机译：网格连接的光伏植物;建模;优化;遗传算法;

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