Techno - economic study of 33 kV distribution lines using aerial bundle cable and spacer cable

• Main Author: Angie, Steffi Mit (Author)
• Format: Thesis
• Published: 2018-01.
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; Thesis
• Online Access: Get fulltext

 Power utility companies typically select their preferable cable design based on the power flow and results of economic analyses. The power flow analysis is a crucial process in evaluating the design and typically being carried out as early as in planning stage prior to the construction stage. It analyses the power systems in normal steady-state operation. Nevertheless, in most cases, the aforementioned analyses only take into consideration the initial investment and operational costs of the lines along with their lifetime period with less detail practical evaluation on the electrical performance of the cable design including the power flow, electric field and electromagnetic characteristics. This project aims to evaluate and compare the electrical performance of aerial bundle cable and spacer cable using actual project of 33 kV distribution lines of Murum-Belaga using DIgSILIENT PowerFactory software. The analysis also considers and compares the initial investment and operational costs of lines along with their lifetime period and technical performance. The actual the line configuration and loading at selected respective site was used in the simulation. In addition to the economic analysis, the power flow analysis for both cable designs was developed and performed using the software. The project takes into consideration the initial investment and operational costs of lines along with their lifetime period. It is found that the simulated electrical performances such as power flow analysis, cable loading, Ferranti effect and voltage drop of both cable systems contribute in the decision making process by complementing the economic assessment method such as the net present value. Each factors would play an important role in an economic performance indicator, uncertainty and risk involved in the project. The project findings may lead to a better reliability assessment in the planning stage to ensure optimal operation of the power system.