Masterarbeit, 2017
92 Seiten, Note: 4
This dissertation investigates the optimal approach to providing energy access to the affected area of the Upper Karnali Hydropower Project (UKHPP) in Western Nepal. The study focuses on optimizing the electrical grid network in the project-affected area using Kruskal's algorithm, analyzing the network's parameters through Static Load Flow Analysis, and evaluating the feasibility of the proposed 2 MW power plant to meet the region's energy needs.
This dissertation explores key topics related to the planning, design, and optimization of a distribution system for the affected area of the Upper Karnali Hydropower Project (UKHPP) in Western Nepal. It encompasses research areas like Kruskal's algorithm, static load flow analysis, and network optimization. The study aims to provide a comprehensive understanding of the challenges and opportunities associated with electrifying a remote region, considering factors like demography, topography, technical feasibility, and socio-economic conditions.
The study focuses on designing and optimizing the electrical distribution system to provide energy access to the affected areas of the 900 MW Upper Karnali Hydropower Project in Western Nepal.
Kruskal’s algorithm was utilized to identify the least distance path between load centers, ensuring a technically and financially feasible network design.
No, the analysis found that the pre-defined 2 MW generation is insufficient to electrify the entire affected area, leading to recommendations for alternative load management solutions.
The study employed a framework based on the Conventional Newton-Raphson method to analyze the network parameters and estimated losses.
A total of 57 load centers were identified, connected through a grid network approximately 144.59 km in length.
The network design was based on surveys using GIS, topographical maps, and satellite views from Google Maps.
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