Author |
Qin, Nan.
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Series |
Springer Theses. |
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Springer theses.
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Subject |
Electric power transmission.
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Electric power systems -- Control.
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Voltage regulators.
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Description |
1 online resource (253 pages). |
Note |
Print version record. |
Contents |
2.2.1 Load Flow with Newton-Raphson Method2.3 Holomorphic Embedding Load Flow Method -- 2.3.1 The HELM Concept -- 2.3.2 PadA Approximantion -- 2.3.3 Continued Fraction -- 2.3.4 Load Flow Solution with HELM -- 2.3.5 HELM Calculation Procedure -- 2.3.6 Case Studies with HELM -- 2.4 Summary -- References -- 3 Numerical Optimization -- 3.1 Nonlinear Programming -- 3.1.1 Optimality Conditions -- 3.1.2 Prime-Dual Interior Point Method -- 3.1.3 Trust Region Method -- 3.2 Artificial Intellegent Method -- 3.3 Summary -- References -- 4 Danish AVC System |
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Supervisora#x80;#x99;s Foreword -- Parts of this thesis have been published in the following articles: -- Acknowledgements -- Contents -- Symbols and Abbreviations -- 1 Introduction -- 1.1 Background -- 1.2 Challenges of the Voltage Control in the Danish System -- 1.2.1 Reactive Power Reserve -- 1.2.2 Coordinated Voltage Control -- 1.2.3 Effective and Efficient Adjustments -- 1.3 Motivation -- 1.4 Project Objectives -- 1.5 Thesis Outline -- References -- 2 Load Flow Calculation -- 2.1 Load Flow Analysis -- 2.2 Newton-Raphson Method |
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4.1 State-of-the-Art4.1.1 Hierarchical Control -- 4.1.2 Centralized Control -- 4.1.3 Summary of the Review -- 4.1.4 Existing Product for the Danish AVC System -- 4.1.5 The Expected Danish AVC System -- 4.2 Reactive Power Components -- 4.2.1 Synchronous Generator -- 4.2.2 Passive Shunt Compensator -- 4.2.3 Power Electronic Device-Based Compensator -- 4.2.4 Transformer Tap Changer -- 4.2.5 Summary -- 4.3 The Optimization Framework of the Danish AVC System -- 4.3.1 Objective -- 4.3.2 Constraints -- 4.3.3 Discretization -- 4.4 Multi-stage Optimization |
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4.4.1 Motivation4.4.2 Multi-stage Optimization Problem Formulation -- 4.4.3 Recursive Formulation -- 4.4.4 Rolling Process -- 4.5 The Danish Wind Power Forecasting System -- 4.6 Robustness Improvement of the Multi-stage Optimization Framework -- 4.6.1 Linear Estimation -- 4.6.2 Scenario-Based Method -- 4.6.3 Voltage Security Margin -- 4.7 Monte Carlo Simulationsa#x80;#x94;Normal to Anything -- 4.8 Summary -- References -- 5 Implementation -- 5.1 Data Source -- 5.2 Data Structure -- 5.3 Pre-processing -- 5.3.1 Brainya#x80;#x99;s Tree Sorting Method |
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5.3.2 Zero Impedance Branch5.3.3 Network Reduction -- 5.4 Decision Variable Definition -- 5.5 Sequential Update -- 5.6 Programming -- 5.6.1 The Continuous Optimization -- 5.6.2 Discretization -- 5.6.3 Finite Difference -- 5.6.4 Integration to the Forecasting System -- 5.7 Example -- 5.7.1 Simulation Results -- 5.8 Summary -- References -- 6 Case Studies -- 6.1 Simulation Setup -- 6.2 Loss Minimization -- 6.3 Cost Minimization -- 6.4 MORPF for the Cost Minimization -- 6.5 MORPF Employing Large Wind Farms -- 6.6 MORPF with Voltage Security Margin |
Note |
""6.7 Results Summary"" |
Summary |
This book reports on the formulation of a multi-stage optimization framework for the Danish power system, taking into account the real operational cost, the voltage constraints and the uncertainty associated to the forecasting errors of the wind power. It describes in detail the implementation of this framework into a simulation platform and its validation in real-world applications. The book especially focuses on automatic voltage control systems and on methods to handle uncertainty in them. All in all, it provides readers with a comprehensive overview of power system optimization and future trends in power system operation. |
ISBN |
9783319698861 (electronic bk.) |
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3319698869 (electronic bk.) |
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9783319698854 |
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3319698850 |
ISBN/ISSN |
10.1007/978-3-319-69886-1 |
OCLC # |
1012346432 |
Additional Format |
Print version: Qin, Nan. Voltage Control in the Future Power Transmission Systems. Cham : Springer International Publishing, 2017 9783319698854. |
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