Location Identification of Power Line Outages Using PMU Measurements With Bad Data
نویسندگان
چکیده
منابع مشابه
Using Neural Networks to Detect Line Outages from PMU Data
We propose an approach based on neural networks and the AC power flow equations to identify singleand doubleline outages in a power grid using the information from phasor measurement unit sensors (PMUs). Rather than inferring the outage from the sensor data by inverting the physical model, our approach uses the AC model to simulate sensor responses to all outages of interest under multiple dema...
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چکیده رساله/پایان نامه : تاکنون روشهای متعددی در ارتباط با مکان یابی خطا در شبکه انتقال ارائه شده است. استفاده مستقیم از این روشها در شبکه توزیع به دلایلی همچون وجود انشعابهای متعدد، غیر یکنواختی فیدرها (خطوط کابلی، خطوط هوایی، سطح مقطع متفاوت انشعاب ها و تنه اصلی فیدر)، نامتعادلی (عدم جابجا شدگی خطوط، بارهای تکفاز و سه فاز)، ثابت نبودن بار و اندازه گیری مقادیر ولتاژ و جریان فقط در ابتدای...
Optimal PMU placement for power system state estimation with random component outages
Phasor measurement unit s (PMUs) provide globally synchronized measurements of voltage and current phasors in real-time and at a high sampling rate. Hence, they permit improving the state estimation performance in power systems. In this paper we propose a novel method for optimal PMU placement in a power system suffering from random component outages (RCOs). In the proposed method, for a given ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Power Systems
سال: 2016
ISSN: 0885-8950,1558-0679
DOI: 10.1109/tpwrs.2015.2495214