Internal Temperature Behavior Relative to Load Parameter : Basis for Virtual Transformer Alarm Software Program /
Internal Temperature Behavior Relative to Load Parameter : Basis for Virtual Transformer Alarm Software Program /
Bonifacio, Roy Escalada.
- 96 p. ; 27 cm.
- INTERNAL TEMPERATURE BEHAVIOR RELATIVE TO LOAD PARAMETER: BASIS FOR VIRTUAL TRANSFORMER ALARM SOFTWARE PROGRAM .
Include bibliographical references.
This study entitled "Internal Temperature Behavior Relative to Load Parameter : Basis for Virtual Transformer Alarm Software Program" centered on the relationship between internal temperature and load parameters of a transformer and then introduced a virtual alarm software program that runs on a more dynamic and sensitive manner. Internal temperature is composed of top-oil temperature, primary winding temperature, and secondary winding temperature while the load parameters are the MVAR, MW and MVA. The raw data used in this study were the measure values within the power transformer and no human influence was present in all entries of data. The time span of data retrieved covered a period of 14 months with one minute interval for each. Internal temperature was collaborated to load parameters using their components creating nine collaborations which were : top-oil temperature and MVAR, top-oil temperature and MW, top-oil temperature and MVA, primary winding temperature and MVAR, primary winding temperature and MW, primary winding temperature and MVA, secondary winding temperature and MW, and secondary winding temperature and MVA. Pearson's r was used to find out the significant relationship between internal temperature and load parameters represented by the nine collaborations. Secondary winding temperature and MW and secondary winding temperature and MVA had the remarkable values with 0.5133 and 0.5126 respectively, leaving other seven with a big difference. It is recommended that, the best representation of relationship between internal temperature and load parameters is the secondary winding temperature and MW. These components were used in designing the alarm logic. The design process included load grouping, load change analysis, temperature change analysis, peak temperature analysis, and peak load analysis. The product of all these analyses was the proposed load and temperature limit which was used for the alarm function of the software program. The software program served as the output of this study, outfitted with four alarms that functioned according to the design process and logic. With the aid of this program, the power transformer was equipped to monitor temperature misleads in a more sensitive way, aiming for a healthier preservation scheme of the equipment.
Include bibliographical references.
This study entitled "Internal Temperature Behavior Relative to Load Parameter : Basis for Virtual Transformer Alarm Software Program" centered on the relationship between internal temperature and load parameters of a transformer and then introduced a virtual alarm software program that runs on a more dynamic and sensitive manner. Internal temperature is composed of top-oil temperature, primary winding temperature, and secondary winding temperature while the load parameters are the MVAR, MW and MVA. The raw data used in this study were the measure values within the power transformer and no human influence was present in all entries of data. The time span of data retrieved covered a period of 14 months with one minute interval for each. Internal temperature was collaborated to load parameters using their components creating nine collaborations which were : top-oil temperature and MVAR, top-oil temperature and MW, top-oil temperature and MVA, primary winding temperature and MVAR, primary winding temperature and MW, primary winding temperature and MVA, secondary winding temperature and MW, and secondary winding temperature and MVA. Pearson's r was used to find out the significant relationship between internal temperature and load parameters represented by the nine collaborations. Secondary winding temperature and MW and secondary winding temperature and MVA had the remarkable values with 0.5133 and 0.5126 respectively, leaving other seven with a big difference. It is recommended that, the best representation of relationship between internal temperature and load parameters is the secondary winding temperature and MW. These components were used in designing the alarm logic. The design process included load grouping, load change analysis, temperature change analysis, peak temperature analysis, and peak load analysis. The product of all these analyses was the proposed load and temperature limit which was used for the alarm function of the software program. The software program served as the output of this study, outfitted with four alarms that functioned according to the design process and logic. With the aid of this program, the power transformer was equipped to monitor temperature misleads in a more sensitive way, aiming for a healthier preservation scheme of the equipment.