This paper presents reliability evaluation in distribution system with distributed generation. The main objective is to minimize the customer interruption cost subject to given number of distributed generation. The 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 outages. The developed methodology is tested with a distribution system of Roy Billinton Test System (RBTS) bus 2 consist of 15 buses and 22 load points. Numerical results from the tests demonstrate that the optimal distributed generation placement can be used to promote reliability of the distribution systems.

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.