Analysis of large-scale droughts in the energy field by using mathematical programming: The case of the Paraná River basin

G. Alvarez
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Abstract

Effects of climate change can already be observed in many regions of the world. The basin of the Paraná River, in South America, has been suffering an important drought since 2019 in the whole region. The extension of the crisis has increased the risks in the flora and fauna, losses in logistics of navigation, besides the problems of urban water cleansing. In this regard, the novel proposal presents a new mathematical model to study the impact of this crisis. Besides the traditional constraints of the literature for hydraulic systems, this paper enhances inventory constraints, connections with electric systems, and other considerations as the head effects in electricity generation. Because several equations related to electricity generation are nonlinear (which the subsequent computational effort impacts), this proposal applies linearization techniques to reduce CPU times. The core is related to hydropower production, and the consequences of the water crisis in the regional markets. The mathematical model analyzes the interrelationships between reservoirs and water flows of the basin. To study the effectiveness of the novel proposal, the reported situation of the basin of the Paraná River is studied by considering two scenarios (normal conditions of the river flow and the conditions related to the drought). Results show that the crisis implies daily net economic losses of about 7 million USD for the operators of the power plants. Other problems (different from the ones related to the energy field) are also mentioned and analyzed.
基于数学规划的能源领域大尺度干旱分析:以帕拉纳河流域为例
在世界许多地区已经可以观察到气候变化的影响。自2019年以来,南美洲的帕拉纳河流域一直在整个地区遭受严重干旱。危机的扩大增加了动植物的风险,航运物流的损失,以及城市水净化的问题。在这方面,新提议提出了一个新的数学模型来研究这场危机的影响。除了文献对液压系统的传统约束外,本文还增加了库存约束、与电力系统的连接以及其他考虑因素作为发电中的头部效应。由于与发电相关的几个方程是非线性的(随后的计算工作量会受到影响),因此本建议应用线性化技术来减少CPU时间。问题的核心是水电生产,以及水危机对区域市场的影响。数学模型分析了水库与流域水流之间的相互关系。为了研究新方案的有效性,研究了帕拉纳河流域的报告情况,考虑了两种情况(河流流量正常情况和与干旱有关的情况)。结果表明,这场危机意味着发电厂运营商每天净经济损失约700万美元。本文还对其他问题(不同于与能量场有关的问题)进行了讨论和分析。
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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