Internationa l Journa l of Engineering T rends and Techno logy (IJETT) - V olume4Issu e4- April 2013 ISSN: 2231-5381 http://www.ijettjournal.org Page 1186 Predictive maintenance and modeling ofTransformerLadani Dhaval H., Sandeep A. Mehta, Pallav Gandhi Abstract — Power transformer is the most important and expensive equipment in Power plant and the Oil has the main roles of insulating and cooling of transformer. The oil condition has to be checked regularly and replaced when it necessary, because to avoid the suddenly failure of the transformer. Large power transformers are the most key components in power system and their correct functioning or maintenance is important to system operation. Power transformers are protected by different protection schemes that use voltages and currents to detect abnormal condition in the different zone ofprotection. For this type of scheme, a short circuit or increment load accidental it must be to trip a system. Power transformers ageing are one of the most critical issues. Also their replacement will consider amount oftime and cost. Therefore, developing a replacement or maintenance strategy of transformer populations is important. This paper presents simulation for life assessment ofthe transformer per hour, per day, per month using LabView™. Here Load and ambient temperatures are two important factors that affect the life of insulation oftransformers. The estimated load factors and ambient temperatures are input and to find out the Hot spot temperature or ageing or rate of change of ageing oftransformer to the IEC life consumption models to assess the consumed life of insulation of tran sformer . Key words —Maintenance of transformer, Ageing, Hotspot temperature, LabView™ INTRODUCTION ower transformer is one of the most important andexpensive equipment in Power plant and the Oil has the main roles of insulating and cooling oftransformer. When transformer is purchased, the specification identified a thermal rating in data sheet. This is based on a factory heat run test and Standards such as IEEE C57.91-1995 and IEC 60076-7.[1][2][3] winding hottest- spot temperature is the one of the most effective and critical parameter to affect the insulation life of transformer. The objective of this work to develop: • Measure oil and winding temperature with fiber optic andRTD • calculate the load by energy meter and their effect oftransformer• Estimate tran sformer insulation loss-of-life. Different method to find Oil and winding temperature with RTD and Fiber Optic sensor but measurable temperature not accurate and cost effectively. Transformerdepends on load factor because when load in crease that effect on oil and winding temperature. Top Oil and Hot spot temperature depended on Load factor and ambient temperature. Both the find out by the Exponential equations method and Diffe rence equations solution method. I.TRANSFORMERTEMPERATUREMEASUREMENTTransformer Temperature measure by fiber optic sensor. Different type to implement the sensor in transformer but it must to thermal contact in the winding and oil. Fiber Optic Sensor shown in fig.1. The benefits of it are Reduces inspection and maintenance costs, Reduces inspection andmaintenance costs. Fig.1 fiber optic sensor use to measure temperature Resistance thermometer (RTD) is a heating element to simulate the measuring of winding temperatures oftransformer. It provides an analog output for remote indication and monitoring on SCADA. RTD enables accurate simulation of the hot spot temperature of the transformer Oil and winding. Fig 2. P
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Predictive maintenance and modeling of Transformer
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7/27/2019 Predictive maintenance and modeling of Transformer