Abstract

Oscillatory stability has received immense attention in recent years due to the significant increase in power electronic converter (PEC)-interfaced renewable energy sources. Synchrophasor technology offers superior capability to measure and monitor power systems in real time, and power system operators require better understanding of how it can be used to effectively analyze and control oscillations. This article reviews state-of-the-art oscillatory stability monitoring, analysis, and control techniques reported in the published literature based on synchrophasor technology. An updated classification is presented for power system oscillations with a special emphasis on oscillations induced from PEC-interfaced renewable energy generation. Oscillatory stability analysis techniques based on synchrophasor technology are well established in power system engineering, but further research is required to effectively utilize synchrophasor-based oscillatory stability monitoring, analysis, and control techniques to characterize and mitigate PEC-induced oscillations. In particular, emerging big data analytics techniques could be used on synchrophasor data streams to develop oscillatory stability monitoring, analysis, and damping techniques.

Highlights

  • T HE power system landscape is evolving rapidly with the large-scale integration of power electronic converter (PEC)-interfaced renewable energy generators, PEC-interfaced loads, and smart grid technologies [1], [2]. This ongoing transformation has a significant impact on power system operation, dynamics, and stability, and new challenges are emerging for system operators to maintain a reliable and resilient power grid

  • Research studies on synchrophasor estimation devices primarily focus on the accuracy and latency improvements of synchrophasor algorithms and communication protocols [6], whereas those on power system applications focus on the utilization of synchrophasor data for protection schemes, stability assessment, state estimation, fault detection, wide-area oscillation damping control, planning and placement of synchrophasor devices in wide-area measurement systems in power grids, and model validation [6]

  • This article reviewed the state-of-the-art with respect to oscillatory stability monitoring, analysis, and control techniques using synchrophasor technology while placing special emphasis on oscillations induced by PEC-interfaced renewable generation

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Summary

INTRODUCTION

T HE power system landscape is evolving rapidly with the large-scale integration of power electronic converter (PEC)-interfaced renewable energy generators, PEC-interfaced loads, and smart grid technologies [1], [2]. Frequency regulation/control, voltage control, oscillatory stability, and power quality (e.g., harmonics, flicker) are some of the issues pertinent to this evolving power grid [3] Among these new challenges, power system oscillatory stability issues have received increased attention over the past few years as more PEC-interfaced renewable energy generators [e.g., doubly fed induction generators (DFIGs) and permanent magnet synchronous generators], and nonlinear loads (e.g., variablespeed drives, switch-mode power supplies, light-emitting diode drives) are connected to the power grid and reduce its damping performance [4]. This article critically reviews the state-of-the-art for power system oscillation monitoring, analysis, and control techniques based on synchrophasor technology, with special emphasis on emerging oscillatory stability issues from PEC-interfaced renewable generation. It highlights current trends and future research directions for oscillatory stability monitoring and control using synchrophasor technology

GENERAL OVERVIEW OF SYNCHROPHASOR TECHNOLOGY
Definition of Phasors and Synchrophasors
Synchrophasor Technology
PMU-Based Monitoring Networks
Capabilities and Limitations
Classification of Power System Oscillations
Oscillation Issues in Renewable-Rich Power Networks
SYNCHROPHASOR-BASED OSCILLATION MONITORING AND ANALYSIS METHODS
Energy Flow Tracking Based on Measurement Data
SSO Monitoring and Analysis Methods
SYNCHROPHASOR-BASED OSCILLATION DAMPING SYSTEMS
SYNCHROPHASOR-BASED OSCILLATION MONITORING AND CONTROL SYSTEMS IN POWER GRIDS
WIDE-AREA MONITORING AND ANALYSIS USING BIG DATA ANALYTICS
Dynamic Event Detection
Data Mining in Large Databases
Advanced Statistics
Scale-Up and Parallel Processing
VIII. RECOMMENDATIONS FOR FUTURE RESEARCH
Findings
CONCLUSION
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