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Load profile impact on the gross energy requirement of stand-alone photovoltaic systems

机译:负载曲线对独立光伏系统总能量需求的影响

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摘要

The sizing optimization of a Stand-Alone Photovoltaic system (SAPV) is a very complex issue. Therefore, a compromise solution must be made between having an acceptable energy and economic cost for the consumer, and a relatively correct energy supply quality. The Gross Energy Requirement (CER) of an SAPV system corresponds to the primary energy total amount required for the production, the maintenance and the recycling of this system. Reducing the GER is thus, an effective way to promote the development of SAPV systems. Therefore, the load profile management, in order to get closer to the ideal "solar" consumer, allows the downsizing of the system. In this paper, a methodology for studying the impact of load profiles on GER is proposed. Two different modifications parameters have been considered theoretically on idealized load and production profiles: the load shifting which seems simpler to implement in the reality, and the amplitude modulation. Furthermore, the NSGA-Ⅱ genetic algorithm has been used to confirm theoretical outcomes and to optimize SAPV system sizing for three realistic load profiles, with the aim of quantifying the GER reduction, by minimizing the storage capacity (taking into account the replacements due to cycling) which is one of the weak points of such a system, and by PV panels downsizing.
机译:独立光伏系统(SAPV)的尺寸优化是一个非常复杂的问题。因此,必须在对消费者具有可接受的能量和经济成本与相对正确的能量供应质量之间做出折衷的解决方案。 SAPV系统的总能源需求(CER)对应于该系统的生产,维护和循环使用所需的一次能源总量。因此,减少GER是促进SAPV系统开发的有效方法。因此,为了更接近理想的“太阳能”用户,负载配置文件管理允许系统的小型化。在本文中,提出了一种研究负荷曲线对GER影响的方法。理论上已经在理想的负载和生产曲线上考虑了两个不同的修改参数:在实际中似乎更易于实现的负载转移和振幅调制。此外,NSGA-Ⅱ遗传算法已被用于确认理论结果并针对三个实际负荷曲线优化SAPV系统的规模,目的是通过最小化存储容量(考虑到由于循环而产生的替换)来量化GER的减少。 ),这是此类系统的弱点之一,并且通过减小光伏面板的尺寸来实现。

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