Anti-Islanding Algorithms

Study on Anti-Islanding Algorithms for Grid-Connected PV Systems

This work presents a Matlab/Simulink study on anti-islanding (AI) detection algorithms for a 100kW Grid-Connected Photovoltaic (PV) Array. The main focus is on the islanding phenomenon that occurs at the Point of Common Coupling (PCC) between Grid-Connected PV System and the rest of the electric power system (EPS) during various grid fault conditions. The Grid-Connected PV System is simulated under the conditions of islanding, and AI relay reaction times are measured through the simulation. Results are presented for Grid-Connected PV System equipped with various AI prevention schemes such as over-current and under-current (OI/UI), over-voltage and under-voltage (OV/UV), over-frequency and under-frequency (OF/UF), rate of change of frequency (ROCOF) and Vector Shift. These scenarios are used in order to evaluate and determine the performance of the AI detection methods and select the most appropriate AI detection algorithm and its corresponding settings for Grid-Connected PV Systems.

The AI protections was tested in case of complete disconnection of the PV system from the electric power grid and also in case of various grid faults. However, the detailed simulation results are presented only for the first study case. The theoretical simulation results are useful to design the AI protection devices for Grid-Connected PV Systems and select the points where islanding conditions may occur and the AI relays should to be inserted.

From the results provided by the performed Matlab and Simulink simulations, it was observed that using traditional relays for islanding detection such as the OI or UV resulted in significantly better performance in respect to detection time of islanding conditions. The ROCOF and Vector Shift relays have a detection time comparable with frequency relays. However, if the ROCOF threshold is exceeded, the formation of an island is quickly detected.

The effects of unintentional islanding were observed from simulation of transient grid faults on a power distribution network. The protection equipment needs to distinguish between islanding event and grid faults. The Grid-Connected PV System protections should detect the fault and trip before islanding occurs as a result of the opening of the circuit breaker in response to a downstream fault.

Anti-Islanding Protection based on DC-Link Voltage Monitoring

This work presents a novel Anti-Islanding (AI) prevention scheme of Grid-Connected Photovoltaic (PV) Systems in Matlab/ Simulink based on monitoring the dc-link voltage of the PV inverter. A 100kW PV System equipped with AI protection like frequency relays, a rate of change of frequency (ROCOF) relay, and respectively the proposed dc-link voltage relay is simulated under the conditions of islanding and the detection time for all these AI techniques are compared. The study shows under which conditions our proposed dc-link voltage AI relay is the most efficient.

The presented AI detection technique consists in monitoring the dc-link voltage, which raises significantly during transient grid faults. The raise detection can be implemented in the Voltage Source Converter (VSC) control of the PV inverter that monitors the dc-link voltage. The time for AI detection of the dc-link voltage relay is compared with the detection time offered by the ROCOF and frequency relays.

Compared to the ROCOF and frequency relays, the AI technique using dc-link voltage relay has the fastest detection time. Also, the dc-link voltage, the ROCOF, and the frequency relays are triggered in the same order in all studied scenarios. During islanding condition, the dc-link voltage decrease with the increase of the connected load. A small variation of inductive power does not influence much the detection time of the AI relays.

CLICK HERE TO DOWNLOAD THE ANTI-ISLANDING MODEL PACK (2.01 MB -- SIMULINK)

Please cite my papers in your work:

I. V. Banu, M. Istrate, D. Machidon and R. Pantelimon, "A study on anti-islanding detection algorithms for grid-tied photovoltaic systems," 2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), Bran, 2014, pp. 655-660. doi: 10.1109/OPTIM.2014.6850940

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6850940&isnumber=6850869

I. V. Banu and M. Istrate, "Islanding prevention scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink," 2014 49th International Universities Power Engineering Conference (UPEC), Cluj-Napoca, 2014, pp. 1-6. doi: 10.1109/UPEC.2014.6934698

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6934698&isnumber=6934581