Multi-type energy conversion for managing the consumption by enhancing the resiliency of electrical distribution networks

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computers & Electrical Engineering Pub Date : 2024-10-31 DOI:10.1016/j.compeleceng.2024.109841

Hesam addin Yousefian, Abolfazl Jalilvand, Amir Bagheri

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Abstract

The climatic circumstances of the world have altered due to the world warming up, and this issue has increased high-impact and low-probability (HILP) events more than before. Supplying energy requirements has turned into one of the main challenges of utilities especially electrical distribution companies considering the frequency and intensity of HILP events. On the other hand, developments in storing electricity have varied expectations and will change the solutions leading to resilient electrical distribution networks (EDNs). Some researchers have studied and analyzed numerous aspects of resilient EDNs but hybridization of different types of energy storage systems (ESSs) has not evaluated before. This paper considers energy management of emergency-operated EDNs equipped with two different types of energy storage systems which are batteries and flywheels. Convex equations in all parts of the problem, including different types of energy storage systems are proposed and modeled as an MIQCP to optimize the resilient networks considering all limitations. The proposed framework is developed in GAMS software and the results are provided in the form of Pareto optimal solutions. Applicability of the conducted model is evaluated by the IEEE 33-bus test system aiming at outstanding the effects of flywheels in improving the resiliency of electrical distribution networks. The proposed model analyzed by various energy storing scenarios based on technical and economical limitations. Results showed that among the considered case studies, the 50 % of the cases included with flywheel while batteries participated in 30 % that were the most expensive ones. On the other hand, the lowest amount of objective function belongs to the case that is only included with flywheels. Accordingly, by considering flywheels as a newly born energy storage system in the emergency-operated EDNs, the flexibility of energy management is facilitated and can be developed economically.

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通过提高配电网络的弹性来管理消耗的多类型能源转换

由于全球变暖，世界的气候环境发生了变化，这一问题使得高影响、低概率（HILP）事件比以往有所增加。考虑到 HILP 事件的频率和强度，供应能源需求已成为公用事业公司，尤其是配电公司面临的主要挑战之一。另一方面，蓄电技术的发展带来了不同的期望，并将改变解决方案，从而实现弹性配电网络（EDN）。一些研究人员已经对弹性配电网的许多方面进行了研究和分析，但之前尚未对不同类型的储能系统（ESS）的混合使用进行评估。本文考虑了配备电池和飞轮两种不同类型储能系统的紧急运行 EDN 的能源管理问题。本文提出了问题所有部分（包括不同类型的储能系统）的凸方程，并将其建模为 MIQCP，以便在考虑所有限制因素的情况下优化弹性网络。提出的框架是在 GAMS 软件中开发的，结果以帕累托最优解的形式提供。通过 IEEE 33 总线测试系统对所建立模型的适用性进行了评估，旨在突出飞轮在提高配电网络弹性方面的作用。根据技术和经济方面的限制，对所提出的模型进行了各种储能方案分析。结果显示，在所考虑的案例研究中，50% 的案例使用了飞轮，而 30% 的案例使用了电池，其中电池的成本最高。另一方面，目标函数最小的是只包含飞轮的案例。因此，将飞轮作为一种新的储能系统应用于紧急运行的 EDN 中，可促进能源管理的灵活性，并以经济的方式进行开发。

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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来源期刊

Computers & Electrical Engineering 工程技术-工程：电子与电气

CiteScore

9.20

自引率

7.00%

发文量

661

审稿时长

47 days

期刊介绍： The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.