通过数据包络分析比较秘鲁电力系统与国际国家的电力服务质量

Carlos Quispe
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引用次数: 1

摘要

本文对秘鲁的电力服务质量进行了分析,并对秘鲁电力供应的可靠性与其他国家进行了比较。为了编写本文,审查了国际法的条例、活动和法规,以便找到参数来估计特别是提供这项服务的质量及其影响。根据国际监管机构的监管特点提出了指标,同样,针对区域内国家(智利、哥伦比亚、巴西和秘鲁)和区域外国家(西班牙和意大利)的SAIDI(系统平均中断时间指数)和SAIFI(系统平均中断频率指数)的现状,提出了两种分析情景。为了确定服务质量的效率,考虑到秘鲁电力系统必须达到的目标,使用了数据包络分析(DEA)。改善(主要)低压用户的电力供应质量可以集中在调整能源或电力政策上,这些政策允许指标有很大的偏差,但是,人们认识到,费率如何能够成为通过控制优化电力系统的资源。提出了采用DEA分析方法,对质量的定量值进行估计。最后,与通过DEA方法分析的国家相比,秘鲁在电力服务质量方面被认为是一个效率低下的国家。秘鲁地理条件多样,交通不便,气候条件多样,需求高度分散,这些都直接影响到效率。
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Quality of the Electrical Service of the Peruvian Electrical System in Comparison with International Countries Through Data Envelope Analysis
In this article, the quality of the electrical service in Peru is analyzed, in addition, the reliability of the electrical supply is evaluated compared to other countries. For the development of this paper, the regulations, activities and statutes of international law were reviewed that allow finding parameters to estimate the quality and its effects of providing this service in particular. Indicators based on the regulatory characteristics of international supervisory bodies are proposed, likewise, two analysis scenarios are proposed, oriented on the current conditions of SAIDI (System Average Interruption Duration Index) and SAIFI (System Average Interruption Frecuency Index) of countries within the region (Chile, Colombia, Brazil and Peru), and countries outside the region (Spain and Italy). To determine the efficiency in quality of service, data envelopment analysis (DEA) is used, considering the goals that the Peruvian electrical system must achieve to be considered efficient. The improvement in the quality of the electricity supply for low voltage users (mainly) can be focused on adapting energy or electricity policies, which allow drastic tolerances of the indicators, however, it is appreciated how the rate could be a resource to optimize the electrical system through control. The analysis method is proposed through the use of DEA, to estimate quantitative values of quality. Finally, Peru is considered an inefficient country in terms of quality of electricity service, compared to the countries analyzed, through the DEA method. Peru has varied geographical conditions of difficult access, diverse climatic conditions and high dispersion of demand, which directly influence efficiency.
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