Voltage Profile Improvement Analysis of Laukahi Feeder Using Capacitor Bank and Solar PV

Inhaltsverzeichnis (Table of Contents)

• CHAPTER 1 INTRODUCTION
• 1.1 Background
• 1.2 Statement of problem
• 1.3 Significance of the study
• 1.4 Objectives
• 1.5 Limitations of the study
• 1.6 Organization of dissertation work
• CHAPTER 2 LITERATURE REVIW
• 2.1 Electrical distribution system
• 2.2 Load Flow
• 2.3 Distributed Generation (DG):
• 2.3.1 Solar PV as a DG source
• 2.3.2 Capacitor Bank as a reactive power source
• 2.4 Optimization Techniques
• 2.4.1 Ant Colony Optimization (ACO)
• CHAPTER 3 METHODOLOGY
• 3.1 Data collection
• 3.2 Load flow analysis using Forward/ Backward sweep algorithm
• 3.2.1 Backward sweep algorithm
• 3.2.2 Forward sweep algorithm
• 3.3 Branch loss calculation
• 3.4 Estimation of DG sizes
• 3.5 Location of DG penetration
• 3.5.1 Generating size and number of ants
• 3.5.2 Flow chart of Load flow (Forward/ Backward sweep algorithm)
• 3.5.3 Flow chart of ACO
• 3.6 Financial analysis of the proposed system
• CHAPTER 4 DESCRIPTION OF EXISTING SYSTEM
• 4.1 Introduction
• 4.1.1 Inaruwa DCS
• 4.1.2 Laukahi feeder
• CHAPTER 5 RESULTS AND DISCUSSION
• 5.1 IEEE 10 bus system
• 5.1.1 Load flow of IEEE 10 bus system
• 5.1.2 Implementation of ACO techniques in IEEE 10 bus system
• 5.1.3 DG integration in IEEE 10 bus
• 5.2 IEEE 33 bus test system
• 5.2.1 Load flow of IEEE 33 bus system
• 5.2.2 ACO technique implementation on IEEE 33 bus system
• 5.2.3 DG integration on IEEE 33 bus
• 5.2.4 ACO and PSO comparison in IEEE 33 bus system
• 5.2.5 Summary of Results for IEEE test Radial Distribution System
• 5.3 Laukahi feeder

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This dissertation investigates the causes and potential solutions for voltage profile issues in the Terai region of Nepal, focusing specifically on the Laukahi feeder. The primary objective is to analyze the voltage profile of the Laukahi feeder and recommend solutions to improve it. The study utilizes MATLAB simulations to model the system and assess the effectiveness of potential solutions.

• Voltage profile improvement in the Laukahi feeder.
• Analysis of the impact of distributed generation (DG) on the voltage profile.
• Integration of solar PV and capacitor banks as DG sources.
• Application of optimization techniques, particularly Ant Colony Optimization (ACO), to identify optimal DG locations and sizes.
• Evaluation of the financial feasibility of proposed solutions.

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter 1 provides an introduction to the problem, outlining the background, statement of the problem, significance, objectives, limitations, and the dissertation's organization. Chapter 2 reviews relevant literature on electrical distribution systems, load flow analysis, distributed generation (DG), and optimization techniques such as Ant Colony Optimization (ACO).

Chapter 3 describes the methodology used in the study. This includes data collection, load flow analysis using forward/backward sweep algorithms, branch loss calculation, estimation of DG sizes, identification of optimal DG penetration locations using ACO, and financial analysis of the proposed solutions.

Chapter 4 details the existing system, including the Inaruwa Distribution Control System (DCS) and the Laukahi feeder.

Chapter 5 presents the results and discussion. It includes simulations on IEEE 10 bus and IEEE 33 bus test systems, demonstrating the effectiveness of the proposed solutions in improving voltage profiles and reducing branch losses. The chapter also provides insights into the performance of ACO and Particle Swarm Optimization (PSO) techniques in DG integration.

Schlüsselwörter (Keywords)

This dissertation focuses on voltage profile improvement, distributed generation (DG), solar PV, capacitor banks, Ant Colony Optimization (ACO), load flow analysis, branch losses, and radial distribution systems.