离网地区混合动力电池供电系统的尺寸确定方法

Oswaldo A. Arráez-Cancelliere, N. Muñoz-Galeano, J. López-Lezama
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引用次数: 2

摘要

在发展中国家,在电网接入有限或没有电网接入的地区,农村电气化是政府面临的最具挑战性的问题之一。这些地区部分与电网相结合。这种糟糕的电力分配主要是由于地理上的不便,崎岖的地形,缺乏电力基础设施,以及为人口较少的地区提供电力而在长距离安装大型并网电力线所需的高经济投资。另一方面,全球范围内化石燃料资源的迅速枯竭以及能源需求和燃料价格的逐步上升是减少对化石燃料依赖的另一个动机。混合可再生能源系统(HRES)可能是这些偏远地区的合适选择。本章的目标是开发一种在非互联区域使用电池支持的混合发电系统(太阳能-柴油)的方法,该方法使用粒子群优化(PSO)使总成本最小化并使供应可靠性最大化。所提出的方法有助于离网地区HRES的规模和设计过程,从而最大限度地降低能源成本(COE)并最大化系统的可靠性。该模型考虑了哥伦比亚政府提供的经济激励措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology for Sizing Hybrid Battery-Backed Power Generation Systems in Off-Grid Areas
In developing countries, rural electrification in areas with limited or no access to grid connection is one of the most challenging issues for governments. These areas are partially integrated with the electrical grid. This poor electricity distribution is mainly due to geographical inaccessibility, rugged terrains, lack of electrical infrastructure, and high required economic investment for installing large grid-connected power lines over long distances to provide electricity for regions with a low population. On the other hand, rapid depletion of fossil fuel resources on a global scale and progressive increase of energy demand and fuel price are other motives to reduce the reliance on fossil fuels. Hybrid renewable energy system (HRES) can be a suitable option for such remote areas. The objective of this chapter is to develop a methodology for sizing hybrid power generation systems (solar-diesel), battery-backed in non-interconnected zones, which minimizes the total cost and maximizes the reliability of supply using particle swarm optimization (PSO). The proposed methodology assists the sizing and designing process of an HRES for an off-grid area minimizing the cost of energy (COE) and maximizing the reliability of the system. Economic incentives offered by the Colombian government are considered in the model.
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