Designing An Optimal Distribution Substation For Adama Science And Technology University

Abstract

A power supply system's distribution system is the one that is nearest to the customer. As a result, its failures have a greater impact on customer service than transmission and generation system faults, which seldom create service interruptions.As a result, this thesis work on Adama Science and Technology University (ASTU) started to design its distribution system at the consumer level. The customer loads were then grouped for service from secondary lines connected to distribution transformers. The loads from the distribution system were then assigned to a single main substation, which would step down from the 33kV sub transmission voltage. Control gear, switchgear, and other equipment requirements and ratings were derived using International Electro-Technical Commission (IEC),International Electrical and Electronic Engineering (IEEE), and American National Standard Institute (ANSI) standards, as well as various models that fit the specified specifications.A novel method for solving the optimal planning problem of distribution substations is proposed. The method does not require a candidate substation location and may automatically choose the optimal substation sizes, locations, and service areas in power distribution systems. Furthermore, an efficient solution algorithm is proposed. The optimal location and capacity are determined by reducing the investment and operational expenses of the electric power distribution system without violating the substation capacity (transformer capacity), feeder capacity (distribution capacity), voltage drop, energy not served and the reliability of the system to meet the load within the planning horizon. The results indicate that utilizing a Genetic Algorithm, the optimal sizing and placement distribution transformers problem in ASTU can be addressed in fewer than 300 generations.The result of the geneticprogramming briefed that 13 distribution transformers with five sphere transformers having a capacity of 15970 kVA and one main distribution substation with a having a capacity of 50 MVA are troubleshot the study area power demand.In general, based on simulation results of reliability index values, the new designed substation achieved a 95.6% improvement in SAIFI value, a 99.6% improvement in SAIDI value, a 92.84% improvement in ENS value, and a 99.5% improvement in ASUI value