This research aimed to establish the power transformer fault management system by applying Sustainable Industrial Management Engineering (SIME.) method. The research tools were electrical and chemical testing. As power transformer is usually huge when it is damaged the possible way to manage such damage is to send such power transformer to the manufacturer’s plant for repair which requires long period of time and high costs of repair. As a result the researcher therefore establish the power transformer fault management system as a tool for assessing damage to decide whether power transformer repair should be instead done at the power station or not in order to decrease the number of power transformer returned to the manufacturing plant for repair. This would eventually help reduce costs and time for repairing power transformer and allows faster period of reuse of power transformer concomitantly. According to the result it would found that the power transformer fault management system by applying Sustainable Industrial Management Engineering (SIME) method could be used as guidance for decision making to have power transformers repaired at the power station as much as possible. This could help reduce average time spent for repair by 84.44 percent with the cost reduction by 68.62 percent when comparing to returning power transformers to the manufacturing plant. This could also be applied in planning for power transformer maintenance prior to the occurrence of any damage to power transformers further.

The purposes of this research are to study: 1) understanding of water and electricity saving 2) water and electricity consumption behavior 3) to compare water and electricity consumption behavior classified by personal characteristics of the students Faculty of Home Economics Technology Rajamangala University of Technology Phra Nakhon. This research was descriptive research. The sample group was specified to be 325 people by stratified sampling. The reliability of this questionnaire is 0.87. Statistics used was descriptive and inferential statistics. The research result revealed that: 1) The overall of understanding and knowledge regarding electricity saving of the students is in the moderate level. 2) The overall of water and electricity consumption behavior of the students is in the moderate level. 3) The comparison of behavior of water and electricity consumption specified according to personal characteristics could be summarized that the students in different genders classes and majors had identical water consumption behavior and the students in different genders and classes had identical electricity consumption behavior. On the other hand the students having different majors had statistically different electricity consumption behavior at 0.05.

This paper presents an assessment of the quality of electricity transmission and distribution system to supply power to the industrial area. The objective is to analyze the power quality that customer in the industrial area need high level. By analyzing the power quality of Provincial Electricity Authority (PEA) in transmission system 115 kV distribution system 22 kV and 400/230 volt in Rojana industrial park from power quality meters. The study concluded that the phenomenon occurs continuously consist of RMS voltage power frequency voltage unbalance short term flicker long term flicker Harmonic meet the standards applied to all. The phenomenon occurs temporary consist of transient voltage dip voltage swell interruption in the conclusion the power quality problems caused by voltage dip most especially with loads which are sensitive to voltage. From the moment the measurement showed that the voltage dip on transmission system 115 kV maximum of 19 times. The voltage dip that occur including three voltage level of 30 times there are events that do not pass SEMI F47 standard 12 times or 40%.

A distributed generation is a small-scale Installed in the customer density sources. The benefits of distributed energy resources is one example. To improve the reliability of power distribution system for the better. The increased reliability of power distribution system that is connected to the source of power distribution efficiency depends on the size of the supply and installation of power distribution are considered appropriate. To Evaluation the reliability in distribution system with the main purpose is to the minimization for customer interruption cost. The technique employed to minimization problem for customer interruption cost in solved by the developed tabu search algorithm together with reliability worth analysis that provide an indirect measure for cost implication associated with power failure. The developed methodology is tested with a distribution system of Roy Billinton Test System (RBTS) bus 2. Numerical results from the tests demonstrate that distributed generation can be used to promote economy and reliability of the distribution systems.

This Research purposes assessment of lightning performance on transmission system 69 kV in Metropolitan Electricity Authority (MEA). The case studies illustrated the lightning strike to direct top pole in order to guideline considering the critical flashover voltage value of insulator is able to withstand it and improvement lighting protection in the future. This solution analyzes using the Alternative Transient Program-Electromagnetic Transient Program (ATP-EMTP). The result found that voltage across insulator before and after improvement lightning protection by external ground wire. Factor effect to voltage across the insulators is the tower footing resistance wave of lightning current and interval between towers. It depends on relation with front time of wave. The analysis economics is very important. This Research is studying interruption cost of outage since back flashover so analysis the break even point of the installation external ground. The result found upon improvement lightning protection by installed external ground. The pay back period of that is 9 years installed ago. This result can conclusion is external ground able reduction interruption costs of outage.