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Implementation of Multi-Agent System Algorithms for distributed restoration and cascading failure blackout prevention in a smart grid system.

机译:用于智能电网系统中的分布式恢复和级联故障停电预防的多智能体系统算法的实现。

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摘要

The possibilities of smart grid are numerous and the future of energy generation, transmission, distribution, consumption and sales is largely dependent on the progress made in smart grid technology. Some of the areas where such progress is expected are in the control and self-healing abilities of the power system. This thesis looks at two research topics in these areas.;One of these topics is distributed restoration which is of high importance as it ensures that only areas in the power system that are directly affected by a fault stays under the influence of the fau most times this is not the case in the current power grid as the area affected by a fault is larger than the area that actually cannot stay online due to the fault. Most researches, if not all, in distributed restoration are based on the use of simulation but this thesis tested the proposed solution on both simulation and experimental systems.;Cascading failures, the second focus of this work, has been a great problem to power systems engineer as it results in blackout events. Historically, it has led to losses of uncountable worth and still possesses the ability to cause endless losses if not checked. This thesis is one of the researches looking at new lines of thought on cascading failures. The unique approach taken in this work is to use the right combinatorics of the power dispatched by the generators to redistribute the current flowing in the power system so that the cascading failures could be halted and blackout event prevented.;Multi-Agent System (MAS) Algorithms are used in this thesis to effect the proposed solutions to both distributed restoration and cascading failures since the possibilities of MAS made up of distributed and intelligent entities are endless if effectively programmed and trained. Surely, such entities when equipped with two-way communication even if geographically widespread are able to achieve goals or offer solutions that would be impossible to accomplish with non-smart entities.;The results obtained for the distributed restoration work shows that the proposed algorithm restores power in a timely and effective manner. Similarly, the results obtained for the research into halting cascading failures shows that the proposed algorithm in this case successfully halted the cascading failures and prevented the occurrence of a blackout event. A by-the-side discourse is given on a productive research carried out on the utilization of affordable encoders to acquire accurate real-time frequency measurements through LabVIEW.
机译:智能电网的可能性是多种多样的,能源发电,输电,分配,消耗和销售的未来很大程度上取决于智能电网技术的进步。预计会取得进展的一些领域是电力系统的控制和自我修复能力。本文着眼于这些领域中的两个研究主题。其中一个主题是分布式恢复,这一点非常重要,因为它可以确保电力系统中仅直接受故障影响的区域不会受故障影响。在大多数情况下,当前电网不是这种情况,因为受故障影响的区域大于由于故障而实际上无法保持在线的区域。大多数(即使不是全部)分布式恢复研究都是基于仿真的,但本文在仿真和实验系统上都对所提出的解决方案进行了测试。级联故障是这项工作的第二个重点,一直是电力系统面临的重大问题。工程师,因为它会导致停电事件。从历史上看,它导致了不可数的损失,如果不加以检查,它仍然具有造成无数损失的能力。本文是研究级联故障新思路的研究之一。这项工作采用的独特方法是使用发电机分配的功率的正确组合来重新分配电力系统中流动的电流,以便可以停止级联故障并防止停电事件。由于有效地编程和训练,由分布式和智能实体组成的MAS的可能性是无限的,因此本文中使用的算法可对分布式恢复和级联故障实现建议的解决方案。当然,即使在地理上广泛分布的情况下,这样的实体即使进行双向通信,也能够实现目标或提供非智能实体无法实现的目标或解决方案。分布式恢复工作获得的结果表明,所提出的算法可以恢复及时有效的权力。类似地,对于停止级联故障的研究获得的结果表明,在这种情况下,所提出的算法成功地停止了级联故障并防止了停电事件的发生。通过有效的编码器利用LabVIEW进行准确的实时频率测量,进行了富有成效的研究。

著录项

  • 作者单位

    Tennessee Technological University.;

  • 授予单位 Tennessee Technological University.;
  • 学科 Engineering Electronics and Electrical.;Engineering Computer.
  • 学位 M.S.
  • 年度 2014
  • 页码 121 p.
  • 总页数 121
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地下建筑;
  • 关键词

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