Synchrophasors for island detection

Ropp, Michael; Perlenfein, Scott; Joshi, D.; Mettler, Cory; Mills-Price, Michael; Scharf, M.; Ravikumar, Krishnanjan Gubba; Zweigle, Greg

doi:10.1109/pvsc.2012.6317684

Cited by 2 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of SynchroPhasor measurements to detect an islanding condition is a fairly new idea [17]- [20]. When two electrical areas are connected in an AC network, the frequency and angle differences are bounded.…”

Section: Anti-islanding Using Communication Methodsmentioning

confidence: 99%

“…This issue does not impact the systems likelihood to detect an island; rather, if signals are not synchronized, an event on the grid may cause a false-trigger since the time shift results in large frequency and angle areas. [19] In [17], the SynchroPhasor-based anti-islanding approach is discussed and contrasted with passive and active anti-islanding methods as well as PLC. Therein, the authors implement three algorithms: (1) absolute phase angle difference (APAD), (2) wide area method (WAM) where PMU differences are plotted in the slip-acceleration plane, and correlation coefficient based method (CCB) where relative frequencies are correlated.…”

Section: Anti-islanding Using Communication Methodsmentioning

confidence: 99%

“…CCB is sometimes slower than the other two methods and doesn't have a predetermined run-time. The authors of [18] describe a SynchroPhasor based island detection scheme that uses both absolute angle differences and defines a pair of decision boundaries, termed "Islanding Zone A" and "Islanding Zone B" in the slipacceleration phase plane (a variation of what's presented in [17]). The benefit of this approach is that it is potentially more robust against transients that effect synchronous generators, and it tends to detect an island within 400 msec (including 100 msec network delays), and over 10 times faster than absolute phase angle difference alone.…”

Section: Anti-islanding Using Communication Methodsmentioning

confidence: 99%

“…The benefit of this approach is that it is potentially more robust against transients that effect synchronous generators, and it tends to detect an island within 400 msec (including 100 msec network delays), and over 10 times faster than absolute phase angle difference alone. The disadvantage with this technique as with all techniques reported in [17]- [20] is the heavy reliance on GPS time synchronization.…”

Section: Anti-islanding Using Communication Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Accelerating Development of Advanced Inverters.

Neely

Johnson

Gonzalez

et al. 2015

View full text Add to dashboard Cite

Increasing the penetration of distributed renewable sources, including photovoltaic (PV) generators, poses technical challenges for grid management. The grid has been optimized over decades to rely on large centralized power plants with well-established feedback controls. Conventional generators provide relatively constant dispatchable power and help to regulate both voltage and frequency. In contrast, photovoltaic (PV) power is variable, is only as predictable as the weather, and provides no control action. Thus, as conventional generation is displaced by PV power, utility operation stake holders are concerned about managing fluctuations in grid voltage and frequency. Furthermore, since the operation of these distributed resources are bound by certain rules that require they stop delivering power when measured voltage or frequency deviate from the nominal operating point, there are also concerns that a single grid event may cause a large fraction of generation to turn off, triggering a black out or break-up of an electric power system. To mitigate effects on grid voltage and frequency due to increased penetration of distributed energy resources (DERs), new grid support functions (GSFs) have been investigated to allow DERs to participate in voltage and frequency regulation. In addition, new voltage and frequency ride-through (V/FRT) functions are being developed to enable these inverters to remain connected even when voltage and frequency deviate considerably. Unfortunately, the implementation of these functions brings with it a new set of engineering concerns including an increased propensity to unintentionally island, the need to ensure standards of performance, as well as interoperability of multiple inverters on one bus, dynamic response of inverters to load rejection and ground fault, and finally how to address the cyber security threat. To accelerate advanced inverter adoption, this project addresses these potential obstacles, thus enabling increased PV penetration. This project was successful in developing both general/generic and manufacturerspecific transient inverter models and adapting them to include GSFs and V/FRT capability to aid in extensive simulation studies of anti-islanding efficacy. Simulation and experimental studies were done to investigate efficacy of existing anti-islanding schemes and quantify performance. In addition, two new anti-islanding methods were developed and tested in the lab that are robust against the effects of GSFs and V/FRT and are expected to be cost-effective. Furthermore, an extensive testing protocol was developed in collaboration with industry, documented, and applied to commercial and pre-commercial inverters. This test protocol is a potential means by which to certify gridconnected equipment for GSF and V/FRT implementation and ensure a prescribed standard of performance. Finally, a Sandia team began the evaluation of cybersecurity implications of remote commands to DERs implementing GSFs and V/FRT functions.

show abstract

Section: Anti-islanding Using Communication Methodsmentioning

confidence: 99%

Section: Anti-islanding Using Communication Methodsmentioning

confidence: 99%

Section: Anti-islanding Using Communication Methodsmentioning

confidence: 99%

Section: Anti-islanding Using Communication Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Accelerating Development of Advanced Inverters.

Neely

Johnson

Gonzalez

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Inverter models in power system simulation are widely discussed in the literature (Behnke et al 2011, Ellis et al 2012, Muljadi et al 2013. Keller et al (2010) and Ropp et al (2012) have analyzed the progress in modeling of inverters in fault current, dynamic and transient realms. We do not repeat the conclusions of these studies but summarize the key issues in each software package for modeling in these realms.…”

Section: Inverter Modelingmentioning

confidence: 99%

Software-Based Challenges of Developing the Future Distribution Grid

Stewart¹,

Kiliccote²,

McParland³

2014

View full text Add to dashboard Cite

The software that the utility industry currently uses may be insufficient to analyze the distribution grid as it rapidly modernizes to include active resources such as distributed generation, switch and voltage control, automation, and increasingly complex loads. Although planners and operators have traditionally viewed the distribution grid as a passive load, utilities and consultants increasingly need enhanced analysis that incorporates active distribution grid loads in order to ensure grid reliability. Numerous commercial and open--source tools are available for analyzing distribution grid systems. These tools vary in complexity from providing basic load--flow and capacity analysis under steady--state conditions to time--series analysis and even geographical representations of dynamic and transient events. The need for each type of analysis is not well understood in the industry, nor are the reasons that distribution analysis requires different techniques and tools both from those now available and from those used for transmission analysis. In addition, there is limited understanding of basic capability of the tools and how they should be practically applied to the evolving distribution system. The study reviews the features and state of the art capability of current tools, including usability and visualization, basic analysis functionality, advanced analysis including inverters, and renewable generation and load modeling. We also discuss the need for each type of distribution grid system analysis. In addition to reviewing basic functionality current models, we discuss dynamics and transient simulation in detail and draw conclusions about existing software's ability to address the needs of the future distribution grid as well as the barriers to modernization of the distribution grid that are posed by the current state of software and model development.Among our conclusions are that accuracy, data transfer, and data processing abilities are key to future distribution grid modeling, and measured data sources are a key missing element .Modeling tools need to be calibrated based on measured grid data to validate their output in varied conditions such as high renewables penetration and rapidly changing topology. In addition, establishing a standardized data modeling format would enable users to transfer data among tools to take advantage of different analysis features.

show abstract

Synchrophasors for island detection

Cited by 2 publications

References 14 publications

Accelerating Development of Advanced Inverters.

Accelerating Development of Advanced Inverters.

Software-Based Challenges of Developing the Future Distribution Grid

Contact Info

Product

Resources

About