RADIAL DISTRIBUTION NETWORK MODELING AND ANALYSIS CONSIDERING POWER FLOW AND RECONFIGURATION (A CASE STUDY OF AZARE DISTRIBUTION NETWORK)


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TABLE OF CONTENTS

TITLE PAGE
ABSTRACT

CHAPTER ONE: GENERAL INTRODUCTION
1.1       General Background
1.2       Azare Distribution Network
1.3       Azare Electricity Supply Systems
1.4.Azare Electricity Consumers
1.5. Aim and Objectives
1.6       Problem Statement
1.7       Methodology
1.8Significant Contributions
1.9       Thesis Organization

CHAPTER TWO:  LITERATURE REVIEW
2.1 Introduction
2.2Review of Fundamental Concepts
2.3       Electric Power Systems
2.4       Distribution System
2.4.1   Types of Distribution System
2.4.1.1 Primary Distribution System
2.4.1.2 Secondary Distribution System
2.5       Network Reconfiguration
2.6       Single Phase Representation of a Balanced Three Phase System
2.7       Per-Unit (pu) System
2.8       Bus Classification
2.9. Conventional Power Flow Techniques
2.10. Backward-Forward Sweep (BFS) Technique for Power Flow Analysis
2.11 All Spanning Trees of Undirected Network Graph (ASTUNG) Technique
2.11.1 Candidate solutions
2.11.2.Infeasible Solution
2.12. Model of network reconfiguration
2.13. Load Model
2.14 Ampacity
2.15. Load Balancing
2.15.1. Model of load balancing
2.16 Voltage Stability index (VSI)
2.17. Voltage Drop
2.18 Review of Similar Work

CHAPTER THREE: METHODS AND MATERIALS
3.1 Introduction
3.2 Data Collection
3.3 Assumptions
3.4 Azare Distribution Network Map
3.4.1 Tie Switch Placement
3.5 Proposed Power Flow Model
3.5.1 Information Matrix (IM)
3.5.2 Bus Incident Matrix
3.5.3 Bus Injected Power (Sinj)
3.5.4 Power Loss (Sloss)
3.5.5 Voltage Deviation (VD)
3.5.6 Significant Features of the Proposed Power flow Approach
3.5.7 Proposed Power Flow Algorithm
3.6 Proposed Reconfiguration Model
3.6.1Candidate Solution Generator (CSG)
3.6.2 Reduced Network Graph Information Matrix (RNGIM)
3.6.3Significant Features of the Proposed Reconfiguration Approach
3.6.4. Proposed Reconfiguration Algorithm
3.7 Matlab GUI for Power Flow and Reconfiguration Simulators
3.7.1 Power Flow and Reconfiguration GUI Design and Programming

CHAPTER FOUR: RESULT ANALYSIS AND DISCUSSIONS
4.1 Introduction
4.2       Simulation
4.3. Voltage Profile
4.3.1 Voltage Profile Improvement
4.4Voltage Stability Index (VSI).
4.5       Solution Search
4.6       Power Losses
4.7Validation
4.7.1 Standard 30 buses IEEE Network
4.7.2 Standard 33 buses IEEE Network

CHAPTER FIVE: CONCLUSION, RECOMMENDATION
5.1       Introduction
5.2       Conclusion
5.3Recommendation
5.4 Limitation
REFERENCES




ABSTRACT

The complexity and large number of computations involved in power flow and reconfiguration analysis of large distribution networks necessitates the need for the improvement of power flow and reconfiguration techniques. In this research work, a GPS based method is used in modeling Azare distribution network and in selecting the most appropriate positions of Tie branches (required for network reconfiguration). Radial distribution network power flow and reconfiguration algorithms are developed based on improved Backward-Forward Sweep (BFS) and All Spanning Trees of Undirected Network Graph (ASTUNG) techniques respectively.MATLAB GUI based simulators are also developed for power flow and reconfiguration analysis. The developed simulators are used in simulating power flow and reconfiguration on the Azare distribution network. A voltage profile improvement of 64.11% and a total real power loss reduction of 54.4% are achieved in the optimum configuration compared to the original configuration. Finally, the effectiveness of the developed power flow simulator is also demonstrated by testing it using the Standard IEEE 30 and 33 bus networks and comparing the results with those obtained in other similar literatures; while the effectiveness of the reconfiguration simulator isdemonstrated using the standard IEEE 33 bus network. The developed reconfiguration simulator was able to improve the voltage profile of the standard 33 buses IEEE radial network by 65.7% and reduce its total real power loss by 56.17%; and when compared with other similar literatures, an improvement of 14.23% is made in voltage profile while a reduction of 0.31% is achieved in power loss. All computations and simulations were performed using MATLAB V.7.0 Software.




CHAPTER ONE

GENERAL INTRODUCTION


1.3 General Background

Distribution system is the largest portion of the electrical power system. It can be defined as the part of a power system that distributes power to various customers in ready-to-use form at their place of consumption .(Ramesh et al, 2009). Optimal planning and design of the distribution systems involves network reconfiguration for distribution loss minimization, load balancing under normal operating conditions and fast service restoration to minimize the zones without power under failure conditions (Muhtazaruddin et al., 2014). Most of the distribution networks are configured radially which simplifies over-current protection of the feeders (Muhtazaruddin et al., 2014). The manual or automatic switching operations are performed to vary the configurations. As the operating conditions change, the purposes of network reconfiguration are (Muhtazaruddin et al., 2014):

(i)                 To minimize the system power loss;

(ii)               To balance the loads in the network.

(iii)             To improve the voltage profile.

Power flow analysis is the determination of steady state conditions of a power system for a set of specified power generations and load demand. It involves the solution of a set of non-linear power flow equations (Ashokumar et al., 2009). Applications, especially in the fields of power system optimization and distribution automation, require repeated fast power flow solutions........

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