Page 6 - Decision Making Applications in Modern Power Systems

vi Contents

2.3.1 Constraints 46
2.3.2 Uncertainty modeling 48
2.4 Case study 51
2.4.1 Simulation and results 55
2.5 Conclusion 59
Acknowledgments 60
References 60

3. Uncertainty analysis and risk assessment for effective
decision-making using wide-area synchrophasor
measurement system 63
Bhargav Appasani and Dusmanta Kumar Mohanta

Abbreviations 63
3.1 Introduction 63
3.1.1 Phasor measurement unit 64
3.1.2 Synchrophasor communication system 65
3.1.3 Phasor data concentrator 67
3.2 Risk assessment and uncertainty analysis of wide area
synchrophasor measurement system 68
3.2.1 Basics of estimating the probability of failure 68
3.2.2 Monte Carlo simulation models for phasor
measurement unit and their communication networks 73
3.2.3 Risk assessment of a sample wide area synchrophasor
measurement system 74
3.3 Optimal placement of phasor measurement unit for
power system observability 77
3.4 Simulation results 81
3.5 Conclusion 86
References 87

4. Power quality issues of smart microgrids: applied
techniques and decision making analysis 89
Yahya Naderi, Seyed Hossein Hosseini, Saeid Ghassemzadeh,
Behnam Mohammadi-Ivatloo, Mehdi Savaghebi,
Juan Carlos Vasquez and Josep M Guerrero
4.1 Introduction 89
4.1.1 Power quality definition and standards 90
4.2 Smart microgrids 91
4.2.1 Challenges in smart grid power quality 92
4.2.2 New tools of smart grids 93
4.3 Power quality improvement devices 96
4.3.1 First generation of power quality improvement devices 96
4.3.2 Second generation of power quality
improvement devices 97
4.3.3 Transition condition, a bridge between
conventional and smart electrical systems 99