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Distribution Reliability and Automation01:25

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
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Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
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    针对主动配电网络 (ADN) 中的电压变频控制 (VVC) 深度强化学习 (DRL) 的网络攻击可能会导致电压违规. 这项研究介绍了一种新的DRL对手,它可以发动定时和隐蔽的攻击,绕过检测机制.

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    科学领域:

    • 电气工程 电气工程
    • 网络安全 网络安全
    • 人工智能的人工智能

    背景情况:

    • 基于深度增强学习 (DRL) 的活跃分发网络 (ADN) 的电压变频控制 (VVC) 易受敌对网络攻击的影响.
    • 现有的攻击往往忽略了坏数据检测 (BDD) 机制,并假定攻击者资源是无限的,从而限制了它们在现实世界中的适用性.

    研究的目的:

    • 开发一种基于DRL的新型对手,能够在ADN中对VVC特工发动战略定时和隐蔽的攻击.
    • 通过优化攻击时间和确保对BDD机制的隐形性来最大限度地提高DNA中的电压违规.

    主要方法:

    • 将对抗性攻击重新制定为混合动力国家-对抗性马尔科夫决策过程 (MDP).
    • 设计一个新的目标功能,以最大限度地侵犯电压,最小的攻击,并纳入攻击时间.
    • 在攻击向量上实施扰动集转换,绕过BDD并确保隐形.

    主要成果:

    • 拟议的DRL对手成功地生成了战略定时和隐蔽的对手样本.
    • 这些样本显著影响了ADN中VVC剂的电压调节能力.
    • 这些攻击证明了绕过BDD机制的有效性,超过了基线方法.

    结论:

    • 开发的基于DRL的对手提供了一个强大的方法来评估DNA中基于DRL的VVC的安全性.
    • 战略定时和隐身对于对抗VVC系统的有效攻击至关重要.
    • 这项研究强调了需要加强BDD机制,以抵御复杂的对抗性攻击.