由分布式能源驱动的自愈网络

B. M. S. M. Ramadan, Surian Raj, T. Logenthiran, R. T. Naayagi
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引用次数: 4

摘要

到目前为止,停电一直是一个令人困扰但又不可避免的问题。结合最近将被动电网重组为主动电网的模式转变,电网运营商现在几乎无法控制电网在代际和消费者之间的电力流交易。这种回避承认了不确定的故障起源和屈服的电力线路振荡,降低了电网的完整性;屈服于停电灾难。尽管在整合分布式发电、利用需求曲线的不规则性和部署监控设备等方面进行了创新,但由于潮流多样化的高流量,输电系统运营商无法保证电网实时运行的弹性。因此,嵌入配电智能程序来执行自修复操作,以帮助电网运营商隔离和诊断故障影响区域,同时抑制过载现象。本文提出了一种基于知识算法的输电线路故障自动恢复操作,以缓解实时的线路故障入侵。模拟测试平台六总线网状网络,通过重新路由潮流位移执行自主隔离策略来识别和定义故障事件。利用Power World Simulator(六总线系统建模)、MATLAB和SimAuto(控制和故障检测方案设计)实现了仿真结果和发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-healing network instigated by distributed energy resources
Power outages have been a troubling issue yet inevitable till to date. In conjunction to the recent paradigm shift in restructuring passive power grid into an active network, grid operators now have little control over the grid's power flow transactions between generations and consumers. Such avocation concedes undeterministic fault origins and capitulate power line oscillatory which degrade the grid's integrity; succumbing to power outage catastrophe. Despite innovations in integrating distributed generations, leveraging demand curves irregularity and deployment of monitoring devices, transmission system operators could not guarantee the resiliency of the grid's operations in real-time due to high traffic of power flow diversifications. In consequence, embed distribution intelligence proceedings are infused to perform self-healing operations to assist grid operators to isolate and diagnose fault-affected regions while dampening overloading phenomenon. This paper proposes an automated transmission line fault restoration operation which employs knowledge-based algorithm to alleviate real-time line fault intrusions. A simulated test bed six-bus mesh network is modelled to identify and define fault events while performing autonomous isolation strategies through re-routing power flow displacements. The presented simulation results and findings are contrived using Power World Simulator (modelling of six-bus system), MATLAB and SimAuto (devising control and fault detection scheme).
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