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Techno-economic analysis of autonomous PV-wind hybrid energy systems using different sizing methods

机译：使用不同规模方法的自主PV-风混合能源系统的技术经济分析

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The sizing and techno-economic optimisation of an autonomous PV-wind hybrid energy system with battery storage is addressed in this article. A novel sizing method is introduced. It is a developed version of similar earlier sizing methods, taking into account a further design parameter. The techno-economic optimisation of autonomous energy systems should include the following design parameters at the same time: the level of autonomy, i.e. the fraction of time for which the specified load can be met, and the cost of the system. Without one of these, the techno-economic optimisation would be incomplete. New concepts, which combine the system autonomy and cost, are also introduced to be used in the techno-economic optimisation process. The sizing of a PV-wind hybrid system on a yearly basis requires a detailed analysis of the solar radiation and wind speed on a monthly basis. It is common to size such renewable systems for the worst month. It is, however, shown that the worst month scenarios lead to too costly and, therefore, non-optimal a system in terms of techno-economics. It is, therefore, suggested that alternative solutions be sought, rather than using the worst month scenario. An alternative method is applied in the present article. It suggests a third energy source (auxiliary source) be incorporated into the system instead of increasing the hardware sizes excessively for the worst month. It is shown that this leads to techno-economically more optimum systems.
机译：本文讨论了带有电池存储的自主PV-风混合能源系统的规模和技术经济性优化。介绍了一种新颖的上浆方法。考虑到其他设计参数，它是类似的早期调整大小方法的开发版本。自主能源系统的技术经济优化应同时包括以下设计参数：自主水平，即可以满足指定负载的时间比例，以及系统成本。如果没有其中之一，技术经济优化将是不完整的。还引入了结合了系统自治性和成本的新概念，以用于技术经济优化过程。每年要对PV-风混合系统进行规模调整，需要每月对太阳辐射和风速进行详细分析。通常在最糟糕的月份确定此类可再生系统的大小。但是，事实表明，最糟糕的月份情景会导致成本过高，因此，就技术经济学而言，该系统不是最佳的。因此，建议寻求替代解决方案，而不是使用最差月份的方案。本文中采用了一种替代方法。它建议将第三种能源（辅助能源）并入系统中，而不是在最坏的月份过度增加硬件大小。结果表明，这导致了技术经济上更优化的系统。

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