Masterarbeit, 2017
92 Seiten, Note: 4
CHAPTER 1: INTRODUCTION
1.1 Project Background
1.2 Upper Karnali Hydropower Project (UKHPP)
1.3 Research Questions
1.4 Research Objectives
1.5 Research Approaches
1.5.1 Phase One
1.5.2 Phase Two
1.6 Scope and Limitations of the Thesis
CHAPTER 2: FUNDAMENTALS OF DISTRIBUTION SYSTEMS
2.1 Types of Distribution Systems
2.1.1 Classification based on nature of current
2.1.2 Classification based on construction
2.1.3 Classification based on the arrangement
CHAPTER 3: SELECTION OF OPTIMAL DISTRIBUTION SYSTEM
3.1 Required Data and Assumptions
3.2 Selection of Load Center and Grid Network
3.3 Selection of Grid Network
3.3.1 Algorithm for Kruskal’s algorithm
3.3.2 Flow Chart for Kruskal’s algorithm
3.4 Optimized Grid Network
3.5 Voltage level Selection
3.6 Conductor Selection
CHAPTER 4: LOAD FLOW ANALYSIS OF DISTRIBUTION SYSTEM
4.1 Mathematical Background
4.2 Solution Algorithm and Flow Chart
CHAPTER 5: SIMULATION RESULTS
5.1 Load Flow Analysis Results
5.2 Results Summary
5.3 Sensitivity Analysis
CHAPTER 6: VERIFICATION OF RESULTS
6.1 PSAT Simulink
6.2 Standard 33-bus Radial Feeder System & f/b Sweep based Algorithm
CHAPTER 7: ALTERNATIVE SOLUTION
7.1 Identify the remaining alternative sources and connect into the grid network
7.1.1 Central Generation of Energy
7.1.2 Distributed Generation of Energy
7.2 Electrify limited area on the basis of priority
CHAPTER 8: COST ESTIMATION
CHAPTER 9: CONCLUSION AND RECOMMENDATION
The primary objective of this research is to design, develop, and evaluate a model for an energy access system specifically tailored for the area affected by the Upper Karnali Hydropower Project. The study addresses the challenge of providing reliable electricity to remote, hilly regions by optimizing the network layout and analyzing the system's technical performance.
3.3 Selection of Grid Network
The research area of this study is located in hilly region of the country, where the location of proposed nodes occurred from (28°43'49.14"N) to (29° 1'13.87"N) in south north direction, (81°22'37.57"E) to (81°36'9.96"E) in east west direction, with altitude variation from 494 m of sea level to 1976 m. The project area is unique in itself and have its own characteristics defined by steep hills, river crossings, forest and frequent altitude variation. All these factors contribute significantly to the design of the electrical network.
The possible path for the electrification was identified with the least distance between all the nodes, based on the online survey with the help of different maps. The criterion for selection of possible way was based on the technical, physical, environmental, economic and social consideration. After that, distance between the nodes with possible way was calculated. Then, selection of network was completed considering distance from the least to greatest according to the Kruskal’s algorithm.
CHAPTER 1: INTRODUCTION: Outlines the project background in Nepal, the specific challenges of the Upper Karnali Hydropower Project, and defines the research questions and objectives.
CHAPTER 2: FUNDAMENTALS OF DISTRIBUTION SYSTEMS: Explains the basic components and classifications of electrical distribution systems, including AC vs. DC and overhead vs. underground setups.
CHAPTER 3: SELECTION OF OPTIMAL DISTRIBUTION SYSTEM: Details the data collection, load center identification, and the application of Kruskal’s algorithm for optimizing the grid network layout.
CHAPTER 4: LOAD FLOW ANALYSIS OF DISTRIBUTION SYSTEM: Provides the mathematical background and algorithmic framework for conducting static load flow analysis using the Newton-Raphson method.
CHAPTER 5: SIMULATION RESULTS: Presents the findings of the grid simulation, including voltage profiles, power loss calculations, and sensitivity analysis regarding load demands.
CHAPTER 6: VERIFICATION OF RESULTS: Validates the developed model by comparing results with PSAT Simulink and standard 33-bus radial distribution feeder benchmarks.
CHAPTER 7: ALTERNATIVE SOLUTION: Explores strategies for overcoming power generation deficits by suggesting alternative renewable sources and prioritized area electrification.
CHAPTER 8: COST ESTIMATION: Calculates the investment and operational costs required for equipment, pole installation, and infrastructure for the proposed distribution grid.
CHAPTER 9: CONCLUSION AND RECOMMENDATION: Summarizes the thesis contributions and suggests further research paths for techno-economic optimization and project management.
Upper Karnali Hydropower Project, Rural Electrification, Kruskal’s Algorithm, Load Flow Analysis, Newton-Raphson Method, Distribution System, Grid Optimization, Voltage Regulation, Renewable Energy, Power Loss, Energy Access, Nepal, Static Load Flow, Network Design, Techno-economic Analysis.
The research focuses on planning and designing an optimal primary electrical distribution system for the area affected by the 900 MW Upper Karnali Hydropower Project in Western Nepal to provide energy access.
Key themes include grid network topology optimization, load flow analysis (LFA), conductor selection, economic voltage level determination, and cost estimation for rural infrastructure.
The goal is to design a technically and economically efficient distribution grid that maximizes electricity access for households in the project-affected districts, despite the challenging, mountainous topography.
The study utilizes Kruskal’s algorithm to create a minimum spanning tree that connects identified load centers with the least total network distance.
The main body focuses on developing a static load flow analysis framework, simulating the performance of the proposed 57-node grid, and verifying the stability of the system using numerical algorithms.
The work is characterized by terms such as rural electrification, grid optimization, load flow analysis, and Upper Karnali Hydropower Project.
The study concludes that the pre-defined 2 MW of power from the dam's toe is insufficient to meet the projected electricity demand for all affected areas under the analyzed conditions.
The model's validity is confirmed by benchmarking the results against a standard 33-bus radial feeder system and simulating the same parameters using the PSAT power system toolbox in MATLAB.
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