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PN Inference Based Autonomous Sequential Restoration of Distribution System Under Natural Disaster
IEEE Systems Journal ( IF 4.0 ) Pub Date : 2020-06-01 , DOI: 10.1109/jsyst.2020.2994585
Kumari Sandhya , T. Ghose , Deepak Kumar , Kalyan Chatterjee

Potential challenge during a disaster is the wide range of disturbance caused to the power system network. The article attempts to develop a systematic procedure to progressively restore the network by recognizing the alive network. During disaster there is manpower shortage and poor road connectivity around the affected area. Hence, an autonomous priority-based restoration policy is required for critical load restoration. The main idea of the proposed article is to develop an autonomous system, which is decision-based restoration system by identifying the network component still available after disaster followed by reconfiguration confirming the proposed load pickup procedure. Because of the inherent capability of implementing the condition-based state transition of switches and parallel processing, a petri net (PN) based methodology has been used in the article to integrate alive parts, which further assists in identifying the best switching schedule of circuit breakers for autonomous load restoration. The primary contribution of the article is to develop an encapsulated algorithm using PN as a modeling platform of components as well as empowering the same by introducing the game-theory-based concept in the formulation of different microgrids integrated with distributed generators during extreme weather events. The verification of effective autonomous restoration is then realized by using the available delivery capability and design verification of the framed microgrids, and the comparison with different restoration strategies adopted by other authors. The studies are carried out with the IEEE 34, 37, and 123-bus feeder test systems for implementation and validation of the proposed article along with the comparison with other published works.

中文翻译:

自然灾害下基于PN推理的配电系统自主顺序恢复

灾难期间的潜在挑战是对电力系统网络造成的广泛干扰。本文尝试通过识别活动网络来开发系统的过程,以逐步恢复网络。灾难期间,受灾地区周围人员短缺,道路连通性差。因此,关键负载恢复需要基于自主优先级的恢复策略。拟议文章的主要思想是开发一个自治系统,该系统是基于决策的恢复系统,其方法是确定灾难后仍然可用的网络组件,然后重新配置以确认拟议的负载提取程序。由于具有实现开关的基于条件的状态转换和并行处理的固有能力,本文中使用了基于Petri网(PN)的方法来集成带电部件,这进一步有助于确定用于自动负载恢复的最佳断路器开关时间表。本文的主要贡献是开发了一种使用PN作为组件建模平台的封装算法,并通过在极端天气事件期间将基于博弈论的概念引入与分布式发电机集成的不同微电网的制定中,引入了基于算法的概念。然后,通过使用可用的传递能力和框架微电网的设计验证,以及与其他作者采用的不同恢复策略进行比较,来实现有效的自主恢复的验证。这些研究是通过IEEE 34、37,
更新日期:2020-06-01
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