Photovoltaic and Energy Storage Sizing Algorithm for the Chilean Distribution Tariff

Nelson Troncoso, Luis Rojo-González, Óscar C. Vásquez, R. Acuña, H. Chávez, Manuel Villalobos-Cid
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Abstract

Distribution customers are exposed to various tariff mechanisms from which they must select one that minimizes the electricity bill. Also, distributed generation (mainly Solar Photovoltaic) and distributed storage (mainly electro-chemical batteries) have arisen as an alternative to reduce electric bills. In general, the problem of selecting a specific photovoltaic and energy storage system size is NP-hard, as the trade-off between tariff mechanisms and photovoltaic and energy storage energy relationships is difficult; also, distribution customers may not have specific knowledge of the underlying optimization problem nor how to formulate an analysis in particular. This work considers the particular case of the Chilean distribution tariff mechanism to propose an easy-to-implement algorithm to obtain an near-optimal solution to the photovoltaic and energy storage sizing system, maximizing the economic return. A numerical example is presented to illustrate the usefulness of the proposed algorithm.
智利配电电价的光伏和储能分级算法
配电客户面临各种各样的电价机制,他们必须从中选择一种电价最低的机制。此外,分布式发电(主要是太阳能光伏)和分布式存储(主要是电化学电池)作为减少电费的替代方案已经出现。一般来说,选择一个特定的光伏和储能系统规模的问题是np困难的,因为在电价机制和光伏和储能能源关系之间的权衡是困难的;此外,分销客户可能不了解潜在的优化问题,也不知道如何制定具体的分析。本文考虑了智利分配电价机制的特殊情况,提出了一种易于实现的算法,以获得光伏和储能规模系统的近最优解,使经济回报最大化。最后通过一个算例说明了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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