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AND ITS PRACTICAL APPLICATIONS FOR TRANSMISSION NETWORK FLOW STUDIES

By

DANIEL FREDERIK PAYNE

THESIS

presented in partial fulfillment of the requirements of the degree

DOCTOR PHILOSPHEA (D.Phil)

in the

FACULTY OF ENGINEERING

of the

RAND AFRIKAANS UNIVERSITY

SUPERVISOR: PROF. J.H.C. PRETORIUS CO-SUPERVISOR: P.D. PRETORIUS

MAY 2004

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SUMMARY

The prediction of the expected transmission network loads as required for transmission network power flow studies, has become very important and much more complex than ten to twenty years ago. Therefore a single forecast is no longer the answer to the problem.

The modelling of different long-term electrical forecasts makes it possible to compare a number of different forecasts. The modelling provides the further option that each expected load can be entered as a range and then the developed balancing algorithm checks for consensus (feasibility). If feasibility exists, then the different forecasts are reconciled (a feasible solution is determined). Factors such as international and national market trends, economical cycles, different weather patterns, climate cycles and demographic changes are studied. The factors that have significant impact on the transmission electrical loads are integrated in ten different forecasts. It thus gives more insight into the electrical industry and makes the forecast results more informative and therefore reduces the uncertainty in the future expected loads.

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BEDANKINGS

Die volgende persone en instansies het elk ‘n unieke bydrae gelewer:

Prof. Cees Roon wat tydens my M.Sc die basis gelê vir die ontwikkeling van die metode.

Prof. Jan Harm Pretorius vir sy leiding en ondersteuning.

Prof. Phillip Pretorius vir sy bedrae en insette.

Henta vir jou aanmoediging, ondersteuning en liefde, ook ons kinders Marilize en Vincent.

Marietjie Snyman en Sougnet Van Niekerk vir julle geduld en die tyd wat julle spandeer het om artikels en handboeke te soek.

ESKOM wat die navorsing moontlik gemaak het.

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CONTENTS

1 THE TRANSMISSION ELECTRICAL NETWORKS 1

1.1 INTRODUCTION 1

1.2 THE TRANSMISSION ELECTRICAL NETWORK 2 1.3 ELECTRICAL NETWORK LOAD REQUIREMENTS 6

1.4 ELECTRICAL LOAD MODEL 8

1.5 LITERATURE SURVEY 12

1.6 CONCLUS ION 14

1.7 REFERENCE 15

2 FACTORS 17

2.1 INTRODUCTION 17

2.2 FACTORS 19

2.2.1 Regulatory Aspects 19

2.2.2 End-Use Load Profiles 20

2.2.3 Generation 21

2.2.4 Sectors 23

2.2.5 New Technology Developments 27

2.2.6 Environmental Impacts 27

2.2.7 Networks 28

2.2.8 International and National Trends 30

2.3 CONCLUSION 31

2.4 REFERENCE 31

3 DIFFERENT FORECASTS 33

3.1 INTRODUCTION 33

3.2 FORECASTS 33

3.2.1 Maximum Transmission System Load 33

3.2.2 Generation Pattern 38

3.2.3 Power Stations 40

3.2.4 Transmission Losses 41

3.2.5 International Customers 41

3.2.6 Areas 42

3.2.7 Transmission Substations 46

3.2.8 Distribution Substations 51

3.2.9 Sectors 55

3.2.10 Area per Sector Loads 55

3.3 POINT LOADS 56

3.4 MAXIMUM AND MINIMUM LOADS 56

3.5 FACTORS CONSIDERED IN FORECASTS 57

3.6 MULTIPLE REGRESSION AND NEURAL NETWORKS 57

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3.7 CONCLUSION 63

3.8 REFERENCE 63

4 BALANCING ALGORITHM 66

4.1 INTRODUCTION 66

4.2 MATHEMATICAL RELATIONSHIPS 67

4.3 OPERATIONS RESEARCH 71

4.4 BALANCING ALGORITHM 72

4.5 EVALUATION 75

4.6 CONCLUSION 76

4.7 REFERENCE 76

5 RESULTS 77

5.1 INTRODUCTION 77

5.2 FORECAST RESULTS 77

5.3 EVALUATION 111

5.4 GEOGRAPHICAL INFORMATION SYSTEM 111

5.5 CONCLUSION 112

6 CONCLUSION AND EVALUATION 113

6.1 INTRODUCTION 113

6.2 FIELDS COVERED AND RESULTS OBTAINED 113

6.3 EVALUATION 114

6.4 RECOMMENDATIONS 115

6.5 CONCLUSIONS 115

ANEXURE A ANNUAL LOAD PROFILES 116

A.1 INTRODUCTION 116

A.2 AREA LOADS 116

A.3 TRANSMISSION SUBSTATION LOADS 126

ANEXURE B WEEKLY LOAD PROFILES 129

B.1 INTRODUCTION 129

B.2 AREA LOADS 129

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LIST OF FIGURES

Figure 1.2.1 - A Typical Transmission Electrical Network Layout 2 Figure 1.2.2 - Single Backbone Substation Arrangement 3 Figure 1.2.3 – A Backbone Substation with Multi-Voltage Arrangement 4 Figure 1.2.4 – Multi-Backbone Substation Arrangement 5 Figure 1.2.5 - A Typical Transmission Electrical Network 6 Figure 1.4.1 – Electrical Load Model: Phase One 9 Figure 1.4.2 – Distribution Substation Selection Criteria 10 Figure 1.4.3 – Electrical Load Model: Phase Two 11 Figure 1.4.4 – Electrical Load Model: Phase Three 12 Figure 2.2.1 – Net Power Output – Power Station 22

Figure 2.2.2 – Load Profile – Substation 23

Figure 2.2.3 – Area With Large Gold Mining Operations 23 Figure 2.2.4 – Area With A Large Stainless Steel Plant Commissioned 24 Figure 2.2.5 – Area With A Large Aluminium Plant Commissioned 24 Figure 2.2.6 – Area with Platinum and Ferrous-Chrome Operations 25 Fig ure 2.2.7 – Load Reduction at An Existing Substation 29 Figure 2.2.8 - Different Network Operations – Substation A 29 Figure 2.2.9 - Different Network Operations – Substation B 30 Figure 3.2.1 - Graphical display scenarios in action 45 Figure 3.2.2 - Markov process in terms of states 49

Figure 3.2.3 - Markov process for K’s Market 50

Figure 3.6.1 - Components of a neuron 60

Figure 3.6.2 - Single Layer Percepton with on neuron in its output layer 60

Figure 4.4.1 – Balancing Algorithm 75

Figure 5.2.1 – Maximum System Load 77

Figure 5.2.2 – Two Curves for Maximum System Load 78 Figure 5.2.3 – Maximum System Load (Close to High Scenario) 78 Figure 5.2.4 – Total Power Station Loads at System Peak 79

Figure 5.2.5 – International Customer Loads 79

Fig ure 5.2.6 – % Transmission Electrical Losses 80 Figure 5.2.7 – Geographical Map of South Africa 81

Figure 5.2.8 – Northwest Annual Load 83

Figure 5.2.9 – KZN Annual Load 84

Figure 5.2.10 – E-Cape Annual Load 85

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Figure 5.2.11 – Northeast Annual Load 86

Figure 5.2.12 – Central Annual Load 88

Figure 5.2.13 – Saldanha Steel Plant Launched in 1999 89

Figure 5.2.14 – Western Annual Load 90

Figure 5.2.15 – The Concentrator Plant at Modikwa 91

Figure 5.2.16 – Polokwane Smelter 91

Figure 5.2.17 – Northern Annual Load 92

Figure 5.2.18 – Balanced and S-curve Maximum System Load 99

Figure 5.2.19 – Cycle 99

Figure 5.2.20 – Annual GW System Peak Increase 100

Figure 5.2.21 – Annual Growth 100

Figure 5.2.22 – Generation Required 101

Figure 5.2.23 – Additional Loads 101

Figure 5.2.24 – Hillside Aluminium Smelter 110

Figure 5.2.25 –Richards Bay Harbour 110

Figure A.2.1 – Area 1 Annual Load 116

Figure A.2.2 – Area 2 Annual Load 116

Figure A.2.3 – Area 3 Annual Load 117

Figure A.2.4 – Area 4 Annual Load 117

Figure A.2.5 – Area 5 Annual Load 117

Figure A.2.6 – Area 6 Annual Load 118

Figure A.2.7 – Area 7 Annual Load 118

Figure A.2.8 – Area 8 Annual Load 118

Figure A.2.9 – Area 9 Annual Load 119

Figure A.2.10 – Area 10 Annual Load 119

Figure A.2.11 – Area 11 Annual Load 119

Figure A.2.12 – Area 12 Annual Load 120

Figure A.2.13 – Area 13 Annual Load 120

Figure A.2.14 – Area 14 Annual Load 120

Figure A.2.15 – Area 15 Annual Load 121

Figure A.2.16 – Area 16 Annual Load 121

Figure A.2.17 – Area 17 Annual Load 121

Figure A.2.18 – Area 18 Annual Load 122

Figure A.2.19 – Area 19 Annual Load 122

Figure A.2.20 – Area 20 Annual Load 122

Figure A.2.21 – Area 21 Annual Load 123

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Figure A.2.22 – Area 22 Annual Load 123

Figure A.2.23 – Area 23 Annual Load 123

Figure A.2.24 – Area 24 Annual Load 124

Figure A.2.25 – Area 25 Annual Load 124

Figure A.2.26 – Area 26 Annual Load 124

Figure A.2.27 – Area 27 Annual Load 125

Figure A.2.28 – Area 9 Annual and Forecast Load 125 Figure A.2.29 – Area 19 Annual and Forecast Load 125

Figure A.3.1 – Substation 1 Annual Load 126

Figure A.3.2 – Substation 2 Annual Load 126

Figure A.3.3 – Substation 3 Annual Load 126

Figure A.3.4 – Substation 4 Annual Load 127

Figure A.3.5 – Substation 5 Annual Load 127

Figure A.3.6 – Substation 6 Annual Load 127

Figure A.3.7 – Substation 7 Hourly Load 128

Figure B.2.1 – Area 1 Weekly Load 129

Figure B.2.2 – Area 2 Weekly Load 129

Figure B.2.3 – Area 3 Weekly Load 130

Figure B.2.4 – Area 4 Weekly Load 130

Figure B.2.5 – Area 5 Weekly Load 130

Figure B.2.6 – Area 6 Weekly Load 131

Figure B.2.7 – Area 7 Weekly Load 131

Figure B.2.8 – Area 8 Weekly Load 131

Figure B.2.9 – Area 9 Weekly Load 132

Figure B.2.10 – Area 10 Weekly Load 132

Figure B.2.11 – Area 11 Weekly Load 132

Figure B.2.12 – Area 12 Weekly Load 133

Figure B.2.13 – Area 13 Weekly Load 133

Figure B.2.14 – Area 14 Weekly Load 133

Figure B.2.15 – Area 15 Weekly Load 134

Figure B.2.16 – Area 16 Weekly Load 134

Figure B.2.17 – Area 17 Weekly Load 134

Figure B.2.18 – Area 18 Weekly Load 135

Figure B.2.19 – Area 19 Weekly Load 135

Figure B.2.20 – Area 20 Weekly Load 135

Figure B.2.21 – Area 21 Weekly Load 136

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Figure B.2.22 – Area 22 Weekly Load 136

Figure B.2.23 – Area 23 Weekly Load 136

Figure B.2.24 – Area 24 Weekly Load 137

Figure B.2.25 – Area 25 Weekly Load 137

Figure B.2.26 – Area 26 Weekly Load 137

Figure B.2.27 – Area 27 Weekly Load 138

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LIST OF TABLES

Table 3.5.1 – Summary of Factors 57

Table 4.4.1 Heuristic Solution 74

Table 5.2.1 TOTDX Load s 92

Table 5.2.2 – Area Load Forecasts 93

Table 5.2.3 – Load Dynamics Results 94

Table 5.2.4 – Area and Transmission Substation Results 95 Table 5.2.5 – TX 26 Balanced and Unbalanced Load comparison 98

Table 5.2.6 – Summary of Cycle Results 100

Table 5.2.7 – Balanced Distribution Substation Loads 102 Table 5.2.8 – Comparison between Balanced and Power Flow Loads 103

Table 5.2.9 – Point Loads 103

Table 5.2.10 – Substation Loads determined from Balanced Loads 104

Table 5.2.11 – Minimum & Maximum Loads 106

Table 5.2.12 – Sector Loads 109

Table 5.2.13 – Area per Sector Loads 109

Table 6.3.1 – Maximum System Loads (Actual vs S-curve results) 114

Referensi

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