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研究生:馬哈雷
研究生(外文):John Sabelo Mahlalela
論文名稱:配電系統中濾波器之位置及容量最佳化
論文名稱(外文):Optimum Placement and Sizing of Harmonic Filters in Distribution Network
指導教授:盧展南盧展南引用關係
指導教授(外文):Chan-Nan Lu
學位類別:碩士
校院名稱:國立中山大學
系所名稱:電機電力工程國際碩士學程
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:英文
論文頁數:141
中文關鍵詞:配電系統含諧波之負載潮流濾波器諧波
外文關鍵詞:FiltersHPB TableHarmonicsDistribution networkHarmonic Power flow
相關次數:
  • 被引用被引用:0
  • 點閱點閱:170
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  • 下載下載:22
  • 收藏至我的研究室書目清單書目收藏:0
隨著電力系統設備的擴增,未來的智慧電網中將會有更多設備產生諧波電流。本論文運用多目標最佳化流程,針對具有多個分散式諧波產生源之配電系統,進行諧波濾波器裝設位置之最佳化,其目的為同時能夠將系統中的平均總電壓諧波失真率(THDv)最小化、將特定的匯流排之功率因數最大化,並且將全配電系統之損失最小化。此最佳化問題以總諧波失真率限制、電壓安全度、匯流排之虛功需量、系統之拓墣架構做為條件限制,且將負載變化量、季節性之饋線配置納入考慮進行分析。本文提供之方法可將全年負載曲線依據其等級劃分為不同區間,考量不同負載等級條件下之系統,進行全年的饋線配置做最佳化濾波器裝設位置與大小規劃。本文運用OpenDSS模擬計算諧波電力潮流,利用基因演算法以諧波電力潮流與匯流排諧波表(HPB Table)做為依據求得濾波器之最佳裝設位置。
實驗結果顯示,諧波濾波器(協調電容器)可提供虛功和抑制由太陽能、電動車及其它非線性伺服器在配電系統中所產生之諧波影響。本文藉由兩個測試系統(IEEE 13饋線系統及修改過的16饋線配電系統)進行模擬,其結果證明了該方法的可行性。結合諧波規劃問題及配電系統饋線重組問題,可以降低配電系統在不同季節受到諧波所的影響。
Due to the gradual increase of power conditioning devices integrated in the active distribution system, the future smart grid is expected to have more harmonic current injecting devices. This thesis presents a multi-objective harmonic filter allocation approach to optimally allocate harmonic filters in a distribution system with high penetration of distributed harmonic sources to minimize average voltage total harmonic distortion (THDv), maximize the power factor on the candidate buses and reduce the distribution system losses. Load variations and seasonal feeder reconfiguration are taken into account and the optimization problem is subject to THDv limit, voltage security, bus reactive power demand and radial topology constraints. The proposed method divides the annual load curves into multi-periods of load levels and optimizes the filter locations, sizes and the feeder configurations for different load levels in seasonal operation. Harmonic power flow in open distribution system simulator (OpenDSS) and the harmonics per bus (HPB Table) are used to provide guideline for searching optimal locations by using a genetic algorithm.
Results of computational experiments have shown that a minimum set of passive harmonic filters (tuned capacitors) can provide reactive power support and suppress the propagation of harmonics in the distribution network due to photovoltaic, electric vehicle and machine drives. Numerical results of two test systems (IEEE 13 bus system and a modified 16 bus distribution network) are presented to validate the method. Combining harmonic planning problem and distribution system feeder reconfiguration can give a well-defined set of locations to install harmonic filters and help reduce harmonic impact throughout the season.
Table of Contents
Thesis Verification Letter i
Acknowledgments iii
摘要 iv
Abstract v
Table of Contents vi
List of Figures ix
List of Tables xii
Nomenclature xiv
Chapter 1 Introduction 1
1.1 Background 1
1.2 Motivations 2
1.3 Research Objectives 2
1.4 Literature Review 3
1.4.1 Strategic Harmonic Filter Allocation 3
1.4.2 Feeder Reconfiguration 6
1.4.3 Distribution Power Flow 7
1.4.4 Harmonic Sources and Distribution Harmonic Power Flow 26
1.5 Contributions of the Work 38
1.6 Organization of the Thesis 38
Chapter 2 Problem Formulation and Solution Method 39
2.1 Network Model 39
2.1.1 Feeder Model 40
2.1.2 Load Models 40
2.1.3 Harmonic Source Model 44
2.1.4 Harmonic Power Flow Used in this Work 45
2.2 Harmonic Filter Design and Modelling 47
2.2.1 Types of Harmonic Filters 47
2.2.2 Design of Single Tuned Harmonic Filter 50
2.3 Problem Formulation 52
2.3.1 Total Harmonic Distortion 53
2.3.2 Power Loss 55
2.3.3 Harmonics Per Bus Table (HPB Table) 56
2.3.4 Harmonic Filter and Power Factor Improvement 59
2.3.5 Filter Bank Installation 61
2.3.6 Radial Topology Constraints 62
2.3.7 Objective Function and Constraints 65
2.4 Solution Method 68
2.4.1 Genetic Algorithm 68
2.4.2 Methods for Comparisons 72
Chapter 3 Simulation Tools Used in this Study 74
3.1 Open Distribution System Simulator (OpenDSS) 74
3.2 OpenDSS Architecture 74
3.3 Modelling in OpenDSS 75
3.3.1 Load Models 75
3.3.2 EV model 75
3.3.3 PV Model 76
3.4 Capabilities of OpenDSS Program 77
3.4.1 Harmonic Analysis 78
3.4.2 Time Series Analysis 78
3.4.3 OpenDSS Interaction with Optimization Package (Data Flow) 79
Chapter 4 Case Studies and Results 81
4.1 Test Systems Descriptions 81
4.2 Test Scenarios and Results 82
4.2.1 Test Cases 86
4.2.2 Test Results 88
4.2.3 Comparison with Other Methods 104
Chapter 5 Conclusions and Future Work 108
5.1 Conclusions 108
5.2 Future Work 109
References 111
Appendices 119
A1 Passive Harmonic Filter at Fundamental Frequency 119
A2 16 Bus Data 121
A3 Derivation of the Siting Index for the Filter 121
A4 Sensitivity Index Tables (16 Bus Test System) 123
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