Development and Testing of an Approach to Anti-Islanding in Utility-Interconnected Photovoltaic Systems

Stevens, John; Bonn, Russell H.; Ginn, James; Gonzalez, Sigifredo; Kern, Greg

doi:10.2172/759506

Cited by 134 publications

(106 citation statements)

References 0 publications

Supporting

Mentioning

104

Contrasting

Unclassified

Order By: Relevance

“…However, this NDZ is significantly smaller than that of the over/under voltage and frequency protection methods. As was previously mentioned, this method has been demonstrated to be highly effective in laboratory experiments, particularly when used in combination with SFS [20]. The Q of the load has negligible effect on the operation of the method.…”

Section: Ndzmentioning

confidence: 72%

“…It should also be noted that SFS has been implemented in combination with the Sandia Voltage Shift (SVS) islanding prevention method. This combination has been found to be extremely effective [20].…”

Section: Strengthsmentioning

confidence: 99%

“…Also, of the three positive feedback-based methods, it is believed that this one will be most effective in terms of islanding prevention. As was previously noted, SVS is commonly implemented simultaneously with SFS, and this combination of methods has been demonstrated to be highly effective in preventing islanding, with an NDZ so small that it is extremely difficult to locate experimentally [20].…”

Section: Strengthsmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of Islanding Detection Methods for Utility-Interactive Inverters in Photovoltaic Systems

Bower¹,

Ropp²

2002

280

281

View full text Add to dashboard Cite

This report describes the various methods and circuits that have been developed to detect an islanding condition for photovoltaic applications and presents three methods that have been developed to test those methods and circuits. Passive methods for detecting an islanding condition basically monitor parameters such as voltage and frequency and/or their characteristics and cause the inverter to cease converting power when there is sufficient transition from normal specified conditions. Active methods for detecting the island introduce deliberate changes or disturbances to the connected circuit and then monitor the response to determine if the utility grid with its stable frequency, voltage and impedance is still connected. If the small perturbation is able to affect the parameters of the load connection within prescribed requirements, the active circuit causes the inverter to cease power conversion and delivery of power to the loads. The methods not resident in the inverter are generally controlled by the utility or have communications between the inverter and the utility to affect an inverter shut down when necessary. This report also describes several test methods that may be used for determining whether the anti-islanding method is effective. The test circuits and methodologies used in the U.S. have been chosen to limit the number of tests by measuring the reaction of a single or small number of inverters under a set of consensus-based worst-case conditions. FOREWORDThis report has been prepared as part of Sandia National Laboratories' Photovoltaic Systems Research and Development work for the U.S. Department of Energy. Sandia is the DOE's lead laboratory for photovoltaic systems research. The development and approach for accomplishing meaningful systems goals for the nation's photovoltaic program and the photovoltaic industry is defined through five technical objectives: (1) reduce the life-cycle costs; (2) improve the reliability; (3) increase and assure the performance and safety of fielded systems; (4) remove barriers to the use of the technology; and (5) support market growth for commercial U.S. photovoltaic systems. This evaluation of the various islanding detection methods for photovoltaic inverters and utility-interactive power systems complements Sandia's photovoltaic inverter development and evaluation goals, provides valuable information for standards and codes input, and summarizes the strengths and weaknesses of the developed anti-islanding methods available today. ABSTRACTThis report describes the various methods and circuits that have been developed to detect an islanding condition for photovoltaic applications and presents methods that have been developed to test those methods and circuits. The methods described are separated into three categories. They are:

show abstract

Section: Ndzmentioning

confidence: 72%

Section: Strengthsmentioning

confidence: 99%

Section: Strengthsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Islanding Detection Methods for Utility-Interactive Inverters in Photovoltaic Systems

Bower¹,

Ropp²

2002

280

281

View full text Add to dashboard Cite

show abstract

“…The proposed detection system successfully identified islanding operations within a 0.5 cycle (approximately 8.3 ms) and disconnected the loads. The trip time met the standards for islanding operations published by the U.S.'s Sandia National Laboratories [20]. The maximum trip cycle was one (approximately 16 ms).…”

Section: Simulation Resultsmentioning

confidence: 63%

Islanding Detection Method of a Photovoltaic Power Generation System Based on a CMAC Neural Network

2013

View full text Add to dashboard Cite

Abstract:This study proposes an islanding detection method for photovoltaic power generation systems based on a cerebellar model articulation controller (CMAC) neural network. First, islanding phenomenon test data were used as training samples to train the CMAC neural network. Then, a photovoltaic power generation system was tested with the islanding phenomena. Because the CMAC neural network possesses association and induction abilities and characteristics that activate similar input signals in approximate memory during training process, the CMAC only requires that the weight values of the excited memory addresses be adjusted, thereby reducing the training time. Furthermore, quantification of the input signals enhanced the detection tolerance of the proposed method. Finally, the simulative and experimental data verified the feasibility of adopting the proposed detection method for islanding phenomena.

show abstract

“…An example of active technique is Sandia Voltage Shift (SVS) [12]. SVS controls the output current of the inverter to fluctuate in the same manner as the utility voltage and uses it as the disturbance signal to be injected to the system [14]. When the utility is connected, the fluctuation in the grid voltage is small and so thus the injected current, hence the effect is negligible.…”

Section: Overview Of Islanding Detectionmentioning

confidence: 99%

A Novel Island Detection Methodology for the Realization of Smart Grid

Khan¹,

Tjandra²,

Iu³

et al. 2011

SGRE

View full text Add to dashboard Cite

Responding to the problem of increased load demand, progress has been made to develop a new smarter infrastructure, which employs a decentralised approach. This smart decentralised system, termed smart grid, is composed of micro grids which utilise a combination of distributed energy resources (DER). The DERs can either be operated in parallel with the grid or in autonomous condition (intentional-islanding). Operating the DER under intentional islanding condition is seen as the next stage in smart grid's future development which requires intelligent control implementation. In order to utilise this intelligent control, immediate detection of islanding is essential. This paper proposes a new smarter islanding detection method, which implements the forecast capability of smart grid by detecting the fluctuations before islanding occurs. The proposed method has been tested in simulation and compared against the current islanding detection methods. The simulation results have successfully proven the benefits of the new proposed method over the current methodologies in island detection.

show abstract

Development and Testing of an Approach to Anti-Islanding in Utility-Interconnected Photovoltaic Systems

Abstract: This report documents the development of an inverter control method that detects and avoids islanding in utility-interconnected photovoltaic installations. This method is applicable to single and multiple inverters connected to a single utility distribution line.

Cited by 134 publications

References 0 publications

Evaluation of Islanding Detection Methods for Utility-Interactive Inverters in Photovoltaic Systems

Evaluation of Islanding Detection Methods for Utility-Interactive Inverters in Photovoltaic Systems

Islanding Detection Method of a Photovoltaic Power Generation System Based on a CMAC Neural Network

A Novel Island Detection Methodology for the Realization of Smart Grid

Contact Info

Product

Resources

About