Power System Monitoring and Control

Hassan Bevrani is a Professor at the University of Kurdistan, Iran and a Visiting Professor at the Kyushu Institute of Technology, Japan.Masayuki Watanabe is an Associate Professor in the Department of Electrical and Electronic Engineering at Kyushu Institute of Technology, Japan. Yasunori Mitani is a Professor in the Department of Electrical and Electronic Engineering and Head of Green Innovation Education & Research Center at Kyushu Institute of Technology, Japan.

• Preface xiiiAcknowledgments xvii1 An Introduction On Power System Monitoring 11.1 Synchronized Phasor Measurement 21.2 Power System Monitoring and Control with Wide-Area Measurements 21.3 ICT Architecture Used in Wide-Area Power System Monitoring and Control 41.4 Summary 5References 52 Oscillation Dynamics Analysis Based On Phasor Measurements 72.1 Oscillation Characteristics in Power Systems 82.1.1 Eigenvalue Analysis and Participation Factor 82.1.2 Oscillation Characteristics in an Interconnected Power System 92.2 An Overview of Oscillation Monitoring Using Phasor Measurements 122.2.1 Monitoring of the Japan Power Network 122.2.2 Monitoring of the Southeast Asia Power Network 142.3 WAMS-Based Interarea Mode Identification 152.4 Low-Frequency Oscillation Dynamics 162.4.1 Electromechanical Modes Characteristics 162.4.2 Oscillation Characteristics Analyses in Southeast Asia Power Network 182.5 Summary 24References 243 Small-Signal Stability Assessment 263.1 Power System Small-Signal Stability 273.2 Oscillation Model Identification Using Phasor Measurements 293.2.1 Oscillation Model of the Electromechanical Mode 293.2.2 Dominant Mode Identification with Signal Filtering 303.3 Small-Signal Stability Assessment of Wide-Area Power System 323.3.1 Simulation Study 323.3.2 Stability Assessment Based on Phasor Measurements 333.3.3 Stability Assessment Based on Frequency Monitoring 383.4 Summary 41References 414 Graphical Tools For Stability and Security Assessment 434.1 Importance of Graphical Tools in WAMS 434.2 Angle–Voltage Deviation Graph 454.3 Simulation Results 484.3.1 Disturbance in Generation Side 494.3.2 Disturbance in Demand Side 504.4 Voltage–Frequency Deviation Graph 524.4.1 ΔV_ΔF Graph for Contingency Assessment 534.4.2 ΔV _ ΔF Graph for Load Shedding Synthesis 564.5 Frequency–Angle Deviation Graph 584.6 Electromechanical Wave Propagation Graph 604.6.1 Wave Propagation 624.6.2 Angle Wave and System Configuration 644.7 Summary 68References 685 Power System Control: Fundamentals and New Perspectives 705.1 Power System Stability and Control 715.2 Angle and Voltage Control 735.3 Frequency Control 755.3.1 Frequency Control Dynamic 775.3.2 Operating States and Power Reserves 815.4 Supervisory Control and Data Acquisition 835.5 Challenges, Opportunities, and New Perspectives 885.5.1 Application of Advanced Control Methods and Technologies 885.5.2 Standards Updating 905.5.3 Impacts of Renewable Energy Options 905.5.4 RESs Contribution to Regulation Services 925.6 Summary 94References 956 Wide-Area Measurement-Based Power System Control Design 966.1 Measurement-Based Controller Design 976.2 Controller Tuning Using a Vibration Model 986.2.1 A Vibration Model Including the Effect of Damping Controllers 986.2.2 Tuning Mechanism 1016.2.3 Simulation Results 1026.3 Wide-Area Measurement-Based Controller Design 1076.3.1 Wide-Area Power System Identification 1076.3.2 Design Procedure 1106.3.3 Simulation Results 1106.4 Summary 118References 1187 Coordinated Dynamic Stability and Voltage Regulation 1197.1 Need for AVR–PSS Coordination 1207.2 A Survey on Recent Achievements 1237.3 A Robust Simultaneous AVR–PSS Synthesis Approach 1267.3.1 Control Framework 1267.3.2 Developed Algorithm 1287.3.3 Real-Time Implementation 1317.3.4 Experiment Results 1327.4 A Wide-Area Measurement-Based Coordination Approach 1357.4.1 High Penetration of Wind Power 1367.4.2 Developed Algorithm 1387.4.3 An Application Example 1417.4.4 Simulation Results 1417.5 Intelligent AVR and PSS Coordination Design 1497.5.1 Fuzzy Logic-Based Coordination System 1497.5.2 Simulation Results 1517.6 Summary 155References 1558 Wide-Area Measurement-Based Emergency Control 1588.1 Conventional Load Shedding and New Challenges 1598.1.1 Load Shedding: Concept and Review 1598.1.2 Some Key Issues 1618.2 Need for Monitoring Both Voltage and Frequency 1628.3 Simultaneous Voltage and Frequency-Based LS 1658.3.1 Proposed LS Scheme 1658.3.2 Implementation 1678.3.3 Case Studies and Simulation Results 1688.3.4 An Approach for Optimal UFVLS 1768.3.5 Discussion 1778.4 Wave Propagation-Based Emergency Control 1788.4.1 Proposed Control Scheme 1788.4.2 Simulation Results 1808.5 Summary 183References 1839 Microgrid Control: Concepts and Classification 1869.1 Microgrids 1879.2 Microgrid Control 1929.3 Local Controls 1959.4 Secondary Controls 1989.5 Global Controls 2029.6 Central/Emergency Controls 2049.7 Summary 206References 20710 Microgrid Control: Synthesis Examples 20910.1 Local Control Synthesis 20910.1.1 Robust Voltage Control Design 20910.1.2 Intelligent Droop-Based Voltage and Frequency Control 21510.2 Secondary Control Synthesis 22110.2.1 Intelligent Frequency Control 22110.2.2 ANN-Based Self-Tuning Frequency Control 22810.3 Global Control Synthesis 23510.3.1 Adaptive Energy Consumption Scheduling 23510.3.2 Power Dispatching in Interconnected MGs 24010.4 Emergency Control Synthesis 24210.4.1 Developed LS Algorithm 24310.4.2 Case Study and Simulation 24310.5 Summary 246References 246Appendix A New York/New England 16-Machine 68-Bus System Case Study 249Appendix B Nine-Bus Power System Case Study 254Appendix C Four-Order Dynamical Power System Model and Parameters of the Four-Machine Infinite-Bus System 256Index 261