These slides present about islanding detection techniques in microgrid systems. Later on the classes other aspects of microgrid protection will be discussed in more detail

2. Human progress has been linked to the increase of energy
consumed per capita .
Small localized power sources, commonly known as
“Distributed Generation” (DG), have become a popular
alternative to bulk electric power generation
The electricity sector in India had an installed capacity of
334.4 GW as of end January 2018.
India became the world's third largest producer of electricity in
the year 2017 with 4.8% global share in electricity generation
surpassing Japan and Russia.
Electrical Energy Supply and Demand

3. Capacity (%) Generation (%)
2012 2017 2020 2012 2017 2020
Coal 56 57 42 70 69 58
Oil 1 1 0 0 0 0
Natural Gas 9 6 3 7 5 3
Hydro 20 15 13 14 12 11
Renewable 12 17 33 6 9 16
Nuclear 2 4 9 3 5 12
Distributed Generation as a Viable
Alternative

4. Distributed generation as a small source of electric power
generation or storage (typically ranging from less than a kW to
tens of MW).
By DG probably most power engineers understand a power
source connected directly to the primary or secondary
distribution system.
In the last decade it has become common to connect power
plants to the distribution system.
The main reason for this is probably that the size of many new
plants makes the distribution grid the natural connection
choice.

5. 1
2
3
4
5
6
7
8
10
11
12
1314
15 16
FC
MT
NiMH Battery
PV
WT
500 V
25 kV
Micro Grid
Utility(Macro Grid)
Feeder 3
Residential Load
Feeder 2
Industrial Load
Feeder 1
Commercial Load

6. Technology Typical capacity Utility interface
Photovoltaic 10VA to 5000VA Inverter
Wind 10VA to 500KVA Induction and Synchronous Generators,
Inverters
Geothermal 100VA to several MVA Synchronous Generator
Micro Hydro 100VA to several MVA Induction or Synchronous Generator
Reciprocating Engine 1000VA to several MVA Induction or Synchronous Generator
Combustion Turbine 1000VA to several MVA Synchronous Generator
Combined Cycle 1000VA to several MVA Synchronous Generator
Micro Turbines 10 KVA to several MVA Inverter
Fuel Cells 10 KVA to several MVA Inverter

7. Clean, Green and renewable form of power.
Flexibility
Improved Reliability
Improved Security.
Reduced Loading of T&D Equipment
Reduces the necessity to build new transmission and
distribution lines or upgrade existing ones.
Reduce transmission and distribution line losses.

8. 1. Voltage Regulation and Losses
2. Voltage Flicker
3. DG Shaft Over-Torque During Faults
4. Harmonic Control and Harmonic Injection
5. Increased Short Circuit Levels
6. Grounding and Transformer Interface
7. Transient Stability
8. Sensitivity of Existing Protection Schemes
9. Coordination of Multiple Generators
10. Islanding Control
Technical Challenges Faced By
Distributed Generation

9. According to (IEEE 2000) an island is “That part of a
power system consisting of one or more power
sources and load that is, for some period of time,
separated from the rest of the system.”
ISLAND
Utility Network
T1
T2
T3
T4
L1
L5
L3
L4
L6
L2
DG1
DG2

10. Line worker safety.
The voltage and frequency may not be maintained.
Instantaneous reclosing could result in out of phase
reclosing of DG.
The degradation of the electric components.
Due to these reasons, it is very important to detect the
islanding quickly and accurately.

11. The core idea for detection of an islanding
situation is to monitor the DG output parameters
and system parameters and decide whether an
islanding situation has occurred from change in
these parameters.

12. Remote
Technique
Local
Technique
Islanding Detection
Passive
Technique
Active
Technique
Hybrid
Technique

13. Islanding Detection Method
Remote Detection Method Local Detection Method
· Impedance Insertion
Scheme
· PLC Based Scheme
· PMU Based Scheme
· Transfer Trip Scheme
Hybrid IDMs:
· Positive Feedback & Voltage
Unbalance.
· Voltage & Reactive Power
Shift.
· SFS & Q-f Based Scheme.
· SFS and ROCOF.
Active IDMs:
· Impedance Measurement.
· Harmonic Signal Injection.
· Slip Mode Frequency Shift.
· Active Frequency Drift.
· Sandia Frequency Shift.
· Sandia Voltage Shift.
· Frequency Jump.
· Active and Reactive Power Injection.
· General Electricity Frequency Scheme.
· Average Absolute Frequency Deviation.
· Virtual Capacitor & Inductor.
· Other Miscellaneous Methods.
Passive IDMs: Based on Non-Signal Processing
· Over/under Voltage and Frequency.
· Phase Jump Detection.
· Harmonic Distortion.
· Rate of Change of Power.
· Rate of Change of Frequency.
· Rate of Change of Power over Frequency.
· Change of Impedance.
· Voltage Unbalance.
· Harmonic Signatures.
· Development of Dynamic Estimators.
Passive IDMs: Based on Signal Processing
· Fourier Transform.
· Wavelet Transform.
· Stockwell Transform.
· Hilbert- Haung Transform.
· Time-Time Transform.
· Mathematical Morphology.

14. This technique is based on the communication
between the utilities and the DG’s.
Beside's having the advantage of better reliability than
local techniques, they are expensive to implement and
hence are uneconomical.
Basic remote islanding detection techniques are:
Impedance Insertion Scheme
PLC Based Scheme
PMU Based Scheme
Transfer Trip Scheme

15. Impedance Insertion Scheme
A small value of impedance (usually a capacitor bank) is inserted at the
time of DG island.
The insertion of capacitor regulates the reactive power, which affects
indirectly the power balance between the generation and load.
Voltage and frequency affected due to the reactive power availed from
the capacitor bank.
The related frequency distortion is sensed by the distribution
frequency-relay located at the grid side for the purpose of islanding
detection.
Drawbacks : cost of the capacitor, low response time and delay in
relay switching, etc.
PLC Based Scheme
A continuous low energy signal is transmitted through the power line
communication channel via transmitter connected at the utility side
and receiver connected at DG side.
At the time of islanding, the communication between transmitter and
receiver is failed and this leads to the tripping of all the DG units.
Drawbacks : High implementation cost and nuisance tripping.

16. Transfer Trip Scheme
Central control unit is used for monitoring all the circuit breaker.
At the time of islanding, the central algorithm regulates the generators
operating condition (remain on or to be off) according to the signal
received from the integrated SCADA system.
Drawbacks : Design complexity and high implementation cost.
PMU Based Scheme:
Islanding is detected by comparing the difference between the grid side
and load side synchro-phasor angle with the preset threshold angle.
Very small NDZ is achieved by this type of IDM.
Drawbacks : Design complexity and high implementation cost are the
major disadvantages of PMU based scheme.

17. (c)
FIGURE: Remote IDMs
(a)Impedance insertion scheme
(b)PLC based
(c)Transfer trip schemes
(d)PMU based.
(b)
(a)
(d)

18. This technique is based on measurement of the system
parameters at the DG site.
This technique is further divided into:
a) Passive detection techniques
i. Non-Signal Processing
ii. Signal Processing
b) Active detection techniques
c) Hybrid detection techniques

19. This system concentrates on measuring the system
parameters near the DG, such as variation in voltage,
frequency, harmonic distortion, etc.
There is a remarkable variation of these parameters when the
system is islanded.
A threshold value is set for each parameter which
distinguishes the islanding condition with grid connected
condition and other type of disturbances such as load
switching, fault switching etc,

20. Advantages:
Fast
Do not introduce disturbances on the system
Disadvantage:
They have a large Non-detection Zone where they fail to detect the
islanding condition.

21. Passive Detection Technique
based on
Non-signal Processing (Non-SP)
Signal extracted
at target DG
bus or at PCC
(Voltage,Current,
Frequency)
Analyse the signal
and calculate the
measured parameter
from signal
Is
Parameter >
Threshold
value
Islanding
Non-Islanding
Trip signal to the
DGs connected to
local loadYes
No
Figure: The basic working principle of passive IDMs.

22. Over/Under voltage and Over/Under frequency
The characteristics of the system at the time of islanding are
studied according to the active and reactive power variation.
If active power changes, then the magnitude of voltage at PCC
will vary significantly (active power is directly proportional to
voltage).
If reactive power changes, then the voltage at the load end has a
phase shift. This in turn will change the frequency of the inverter
output current and thus the frequency of the PCC voltage until
the change in reactive power is zero.
By OVP/UVP and OFP/UFP relays the islanding condition can be
prevented by using the change in voltage and frequency.
Drawbacks: A large non detection zone.

23. Phase jump detection (PJD)
PJD observes the instant ‘jumps’ of phase difference in-between the
voltage and current output of the inverter .
In grid connected mode, the inverter-current has been synchronized
with grid voltage through a PLL.
During the islanded scenario of DG the PCC voltage varies, because the
output current is controlled by the inverter and as a result the PCC
voltage leads to out-of-phase with respect to the current.
DGs should be isolated, if the phase error between the inverter output
current and voltage go above a threshold value.
Drawback: Proper threshold setting.
Change of impedance
The impedance of the islanded section is higher than the utility
impedance.
When, a portion of the network is disconnected from the utility, the
impedance of that section increases.
Thus, islanding can be detected by monitoring the change of
impedance at DG side.

24. Voltage harmonics distortion
The IDM measures Total Harmonic Distortion of voltage at PCC and
compares with a definite threshold value for the inverter
disconnection.
In grid connected mode, the voltage is considered to be the grid voltage
and the corresponding measured THD is found to be comparatively
negligible (THD ≈0).
In islanding mode, the extra generated harmonic current produced by
the inverter is communicated to the load. Moreover, the load
impedance generally has higher value than the grid impedance. The is
measured by the interaction of the and grid impedance.
The islanding condition is detected at the time the exceeds a preset
definite threshold value.
Drawbacks: This IDM has serious implementation difficulty as PJD.
This technique may fail in case of load with high quality factor and
strong low-pass characteristics.
Harmonic signatures:
It analyse the differences of harmonic contents of voltage signal
extracted at PCC before and after the islanding condition occurred.

25. Rate of Change of Power (ROCOP):
At the time of the islanding, the ROCOP measured at DG end is
much greater than that of ROCOP during grid connected mode, for
similar load variations.
This method is found to be significantly effective in case of
unbalanced load condition rather than a balanced condition.
Rate of Change of Frequency (ROCOF):
In islanding mode of operation, the ROCOF is measured at DG end
and is higher than that of ROCOP during grid connected mode of
operation, for the similar rate of load variation.
The values of inertia of DG system (H) and generation capacity of
DG per system (G) are proportional to the size of the system.
For a large system, the values of H and G are large with smaller
ROCOF. However, for a smaller system the ROCOF value is larger.
If the measured change in frequency value at the particular DG end
is found to be higher than the pre-set threshold value for certain
duration of time, then the relay starts to operate.

26. Rate of Change of Frequency over Power (ROCOFOP):
The ROCOFOP is generally of higher value in case of smaller
generation system as compared to larger generation capacity
system.
Additionally, the results indicate ROCOFOP is much more
sensitive than ROCOP under smaller power mismatch among the
distributed generation and the loads.
Voltage Unbalance:
If the power mismatch between DGs and local loads are large,
then islanding can be detected easily by monitoring the change in
parameters at DG end or at PCC. On the other hand, if it is small
then chance of failing to detect is high.
The distribution networks generally comprises of single phase
loads and thus, there is a possibility of variation in load balance of
DG during islanding.
Apart from the smaller power mismatch, voltage unbalance shall
arise owing to the variation in network topology.

27. Passive Detection Technique
based on
Signal Processing (SP)
Signal
extracted at
DG location
(Voltage,
Current)
Analyse and
detect the event
using Time-
frequency
transform
Is
Parameter >
Threshold
value
Islanding
Non-Islanding
Yes
No
Suitable
feature
extraction
Fixed a
threshold
value
Figure The basic working principle involved in SP-based IDMs.

28. Fourier Transform (FT) based IDMs
For frequency domain analysis of discrete time power signals, Discrete Fourier transform
(DFT) is used in most of the power system application.
In this process of analysis, the finite length discrete time signal is transformed to a finite
length discrete frequency sequence signal.
The output results obtained through Fast Fourier transform (FFT) is analogous to that of
results obtained by DFT, but in reduced time.
However, for analysis of non-stationary signal, DFT application may not be appropriate
because it provides different spectral contents that are not related to the original signal.
Wavelet transform (WT) based IDMs
The WT is another signal processing technique like FT to analyze the signal in
the time-frequency domain.
By WT approach a signal can be decomposed into several coefficients
containing different frequency band.
In the last few decades, it has been extensively used for different power system
protection fields like transmission line fault detection, power quality detection,
feature extraction, and de-noising etc.
WT is used as a solution to problem like reduced resolution in frequency for
FFT, STFT and DFT.
This is classified into continuous (CWT) and discrete wavelet transforms
(DWT).

29. Stockwell Transform (ST) based IDMs
WT is fundamentally a time-scale analysis and is non-adaptive in nature.
Batch processing steps in wavelet transform introduces delay and is considered
as one of the major limitation of applying in power system fault detection.
Over-sensitive to noisy signals and computational complexity are also the
demerits of WTs.
To overcome the problem associate with WTs, S-transform (ST) algorithm was
developed by Stockwell in 1996.
This technique comprises the properties of both WT and STFT. The same has
been considered by the researcher for feature extraction to detect islanding.
Hilbert-Haung Transform (HHT) based IDMs
HHT is a time-frequency based approach and a combination of empirical mode
decomposition (EMD) and Hilbert transform.
It is a robust, highly adaptive and rigorous method for feature extraction.
The EMD method is the initial step of HHT.
Here the extracted signal is decomposed into mono component signals, named
as intrinsic mode function IMFs.
The supremacy of this technique over WT, STFT, and ST has been presented in
many literature.

30. Time-Time Transform (TTT) based IDMs
The Time-Time transform is an emerging technique based
on ST.
The key advantage of TT-transform is that it includes
redundancy in time, while travelling from 1-Dimension (1-
D) time signal to 2-Dimension (2-D) time signal.
Mathematical Morphology (MM) based IDMs
MM is a non-linear signal processing approach.
The major advantage of this scheme is that the
computational burden executed by this technique is least,
as, the calculations comprises of addition and
multiplication.

31. IDM Advantages Disadvantages
Non-Signal Processing based Methods
Rate of Change of
Frequency (ROCOF)
No impact on PQ, Small NDZ Error in detection rate is High
Rate of Change of
Power (ROCOP)
No impact on PQ, Small NDZ Error in detection rate is High
Change in Impedance No impact on PQ, Small NDZ Error in detection rate is Low
Under/Over Voltage No impact on PQ Large NDZ
Under/Over Frequency No impact on PQ Large NDZ
Phase Jump Detection No impact on PQ Large NDZ
Harmonic Distortion No impact on PQ Large NDZ, Error in detection rate is Low
Signal Processing based Methods
DFT based Method Easy to analyse the non-stationary signal Large computational time
WT and WPT based
Method
Both time and frequency domain analysis, faster
computational speed
Fail in noisy environment
ST based Method Exhibits a frequency invariant amplitude response. Efficient
and accurate method in case of noisy environment.
Its performance decreases in real time
environment particularly in the presence of
transient and harmonics.
TTT based Method It includes redundancy in time passing from 1-D time signal
to 2-D time signal.
Need to improve the resolution at the time of
initiation of event
HHT based Method Better technique for distorted signal for feature extraction
technique, comparatively robust and rigorous
In case of low energy content signal, it may
fail to produce accurate frequency spectrum
with loss of frequency components.
Mathematical
Morphology
Computational burden executed by this technique is very
less because, the calculations consist of only addition and
multiplication.
Table Comparative analysis between different SP and non-SP based passive IDMs.

32. This method concentrates on introducing small
perturbations on the system and then measuring the
parameters of the system.
When the DG is islanded there will be a significant
change in the system parameters.
On the contrary, the change in parameter is negligible
when the DG is connected to grid.

33. Advantage:
Islanding can be detected even after perfect match of generation
and the load (NDZ), which was not possible in case of passive
detection technique.
Continuously
injecting
disturbance at
the different
interval at PCC
Measure & analyse
the change in
parameter of the
signal at PCC
Is
Parameter >
Threshold
value
Islanding
Non-Islanding
Shutdown all
DGs connected
to local loadYes
No
Figure: The basic working principle of active IDMs.

34. Impedance Measurement
The variation of impedance is measured at the inverter output terminal and based
on this detection of islanding condition is decided by comparing with a preset
threshold value.
Generally, the disruption happens to inverter current during the grid isolation leads
to the variation of output voltage and this in turn results in a variation in grid
impedance calculated by the change in voltage with respect to change in current, to
detect the islanding condition.
Drawbacks: The accuracy of this IDM is decreased as the synchronization problem
arises in case of multi-inverter based system.
Apart from that the accurate impedance threshold setting is considered as
limitation for its real time implementation.
Harmonic Signal Injection
A current harmonic signal having specific frequency is injected to the point of
common coupling via the inverter .
During grid-connected mode, under the condition of load impedance higher than
the grid impedance, the harmonic current flows towards the grid and due to that no
anomalous voltage is created.
In islanded mode of operation the harmonic current flows to the load, resulting in
harmonic voltage generation.
The amplitude of this is directly proportional to the load impedance at the
frequency of the introduced harmonic current .
Drawbacks: The optimal absolute threshold setting.

35. Slip mode/slide mode frequency shift (SFS/SMS)
The positive feedback based on the abnormality of frequency at the grid is used as
input to the controller to create a conventional instability in the phase angle of
inverter output current .
In the grid connected mode of operation, the corresponding load-line and inverter
output voltage curve intersection at point B have frequency and phase angle equals to
60Hz and zero respectively.
On the other hand in islanded mode of operation, the perturbation forces the system
to a new operating point (A or C depending upon the direction of disturbance
injected).
If the system has been considered for the RLC load, this error in frequency has
enough power to trip the under frequency or over frequency relays to make the
inverter shutdown.
Drawbacks: False detection of islanding condition due to the availability of stable
operating points within the unstable zone under the condition of the higher slope of
the load phase compared to the SMS line.
The decrease in power quality is also considered as a drawback for SMS based IDM.
Phase Response(deg)
90
0
-90
Frequency (Hz)
A
B
c
60
Figure Phase angle verses frequency curve.

36. Frequency jump (FJ)/Zebra method
FJ method is formulated as an enhanced method to active frequency drift
method with similar logic and analogous to the impedance measurement
methods.
The dead-zones are injected into certain cycles of the waveform and the
frequency is ‘dithered’ according to the pre-defined pattern.
At the instance of utility disconnection, the islanding condition is detected
on the basis of frequency deviation.
General electric frequency schemes (GEFS)
Observing the effects at PCC related to the current disturbance injected
into the inverter controller, the islanding detection is analysed.
The dq-reference frame of decomposition is taken for the formulation of
control parameters and disturbances.
The d-axis components and q-axis components are directly proportional to
the active and reactive power respectively.
Here, a band pass filter is employed to acquire the variation of the
component.
Under the islanding scenario, the introduced perturbation must be high
enough to impel the system towards instability. This doesn’t have any effect
on the closed loop stability, when the system is in grid connected mode of
operation.

37. Active frequency drift (AFD)
A basic principle of varying the frequency of the output current through a positive
feedback.
It injects a disturbed current signal into the PCC.
Under islanding condition, the corresponding error occurs in phase/frequency between
inverter current and the PCC voltage. This error is used as input to the inverter controller
to increase the frequency of inverter current.
The above procedure is continued until the frequency drifted to a value after which the
over frequency protection (OFP) or under voltage protection (UFP) relays start conducting
Drawbacks: Power quality degradation and radio frequency interferences.
Sandia voltage shift (SVS)
The magnitude of voltage signal is taken as the positive feedback.
The inverter output current and power vary proportionally to the variation of the
RMS value of voltage.
In grid connected mode this effect of variation of output power and current is less as
compare to islanding mode of operation.
The under voltage protection (UVP) or over voltage protection (OVP) relay sense the
cumulative variation in voltage due to reduction in inverter current caused by the
drop in voltage.
The corresponding change (increase or decrease) in output power, leads to tripping of
OVP or UVP.
Drawbacks: It may have adverse effect on the grid transient response and power
quality.

38. Sandia frequency shift (SFS)
SFS is a modified version of AFD.
SFS method also applies the concept of positive feedback concept for
the detection of islanding events.
The chopping factor ‘cf’ is expressed as a function of the line
frequency error.
At the instant of islanding event, the frequency error (cf) and
frequency of inverter output will increase due to the increase of
voltage frequency.
To circumvent this issue the inverter controller reduces the frequency
variations and the procedure persists till it exceeds the threshold
setting of over and under frequency relays.

39. Islanding Detection
Method (IDM)
Features
Operating /Detection Time Power Quality Impact NDZ Cost, Reliability
Remote IDMs
Impedance Insertion 1-2 sec No No High ,High
PLC Based 276msec No No High ,High
Transfer Trip Scheme Depending on communication
link
No No High ,High
PMU Based 1.15-1.7sec No No High ,High
Local IDMs: Passive IDMs
Over/under voltage and frequency 4msec -2sec No Large Low, Low
PJD 10-20msec No Large Low, Low
THD 45msec No Large(for High Qf) Low, Low
ROCOP 24-26msec No Small Low, Low
ROCOF 24msec No Small Low, Low
Change of Impedance 10msec No Smallest Low, Low
ROCOFOP 100msec No Smaller than ROCOP Low, high
Voltage Unbalance 53msec No Large Low, Low
Local IDMs: Active IDMs
Impedance Measurement 0.77-0.95sec Degrades Small High, Low
SMS 0.4sec Degrades Small High, Low
Harmonics Signal Injection Few millisecond Vaguely degrades Smallest High, Low
AFD Within 2sec Degrades Large(for high Qf) High, Low
SFS 0.5sec Slightly degrades Smallest High, Low
Active and reactive power injection 0.3-0.75sec Degrades Small High, Low
SVS 0.5sec Slightly degrades Smallest High, Low
FJ 75msec Degrades Small High, Low
Virtual Capacitor 20-51msec Slightly degrades Smallest High, Low
Virtual Inductor 13-59msec Slightly degrades Smallest High, Low
Negative Sequence Current Injection 60msec Degrades No High, Low
RPEED 2sec Slightly degrades Smallest High, Low
AFDPF 1sec Slightly degrades Smallest High, Low

40. This technique concentrates on applying both the
passive as well as active methods of detection
techniques.
The active method is employed only when islanding is
suspected by the passive islanding detection scheme.
Some of the hybrid detection scheme are:-
Positive feedback(PF) and voltage unbalance(VU)
Voltage and reactive power shifts

41. Signal extracted
at PCC (voltage,
current,
frequency)
Measure and
analyze the
change in
parameter at PCC
Is Parameter >
Threshold valueIslanding
Disturbance
injected at PCC
Yes No
Active IDM
Passive IDM
Figure The working principle of hybrid IDMs.

42. Positive Feedback (PF) and Voltage Imbalance (VU)
This IDM employs the PF as active method and VU as passive methods.
Whenever, this VU spike exceeds the predefined threshold value, the
frequency set point of the DG is reformed to a lower threshold value and
monitored continuously for 1.5sec.
If the DG frequency is found to be lower than the threshold value, then a
trip signal is send to the circuit breaker at PCC.
IDM Based on Voltage and Reactive Power Shift
The rate of voltage variation with respect to time is computed to get the
covariance value required for this IDM approach.
This value is further used to initiate a secondary active IDM based
algorithm (adaptive reactive power shift (ARPS)) .
This ARPS algorithm employs reactive power shift in term of shifting d-
axis current instead of current phase shift as in Adaptive logic phase shift
algorithm.
The additional d-axis current injected to the inverter controller increase
the phase shift which in turn leads to frequency shift indicating an
islanding condition.

43. SFS and Q-f IDM
This hybrid IDM adopts the passive technique based on Q-f droop curve and active
techniques based on SFS.
In this method the instability criterion of the SFS method and a stochastic method
based on Bacterial Foraging optimization techniques are used to obtain the
optimum gain (k) of SFS method in order to reduce the NDZ.
It has been found that the capability of islanding detection is reduced with the
increase of quality factor up to certain maximum value.
The combination of these two methods to overcome the limitation of each
approach makes the anti-islanding protection scheme become more effective.
IDM Based on SFS and ROCOF:
This hybrid IDM employs ROCOF (passive) and SFS technique (active).
In order to attain the optimum value of positive feedback gains, and to enhance the
performance of SFS technique, a new approach known as Imperialist Competitive
Algorithm is used.
In this IDM, SFS technique is triggered by the ROCOF relay initiation to the
occurrence of islanding condition.
The system frequency is calculated by PLL. Once ROCOF relay senses the deviation
in trip signal, it initiates the SFS indicator through multiple switches.
But, during normal conditions, no communication occurs between ROCOF and the
multiple switches, resulting in an unchanged and current references.
By this combined technique the modified ROCOF threshold value is reduced, as
compared to the preliminary ROCOF method to make the IDM more sensitive and
reliable even under a very small power mismatch between DG and utility loads

44. The current research in the direction of making more accurate and improved
IDMs includes:
The development and implementation of advanced communication
infrastructure for making of remote IDMs cost effective.
Replacement of conventional transformer with solid-state transformer to
provide two-way communication for anti-islanding method.
Development and deployment of novel smart meters may be an another
possibility for finding communication substructure, which can be utilized for
loss-of-main detection.
Study of frequency stability of micro-grid in islanding mode of operation.
Behavioural study for different type of inverter based controllers on IDMs.

45. [1] Chandak, S., Mishra, M., & Rout, P. K. (2018). Hybrid islanding detection with optimum feature selection and
minimum NDZ. International Transactions on Electrical Energy Systems, 28(10), e2602.
[2] Mishra, M., Chandak, S., & Rout, P. K. (2019). Taxonomy of Islanding detection techniques for distributed
generation in microgrid. Renewable Energy Focus, 31, 9-30.
[3] Chandak, S., Mishra, M., Nayak, S., & Rout, P. K. (2018). Optimal feature selection for islanding detection in
distributed generation. IET Smart Grid, 1(3), 85-95.
[4] Chandak, S., Bhowmik, P., Mishra, M., & Rout, P. K. (2018). Autonomous microgrid operation subsequent to
an anti-islanding scheme. Sustainable cities and society, 39, 430-448.
[5] Chandak, S., Dhar, S., & Barik, S. K. (2015, October). Islanding disclosure for grid interactive PV-VSC system
using negative sequence voltage. In 2015 IEEE Power, Communication and Information Technology
Conference (PCITC) (pp. 497-504). IEEE.
[6]Pourbabak, H., & Kazemi, A. (2014). A new technique for islanding detection using voltage phase angle of
inverter-based DGs. International Journal of Electrical Power & Energy Systems, 57, 198-205..
[7] Wang, X., Freitas, W., & Xu, W. (2011). Dynamic non-detection zones of positive feedback anti-islanding
methods for inverter-based distributed generators. Power Delivery, IEEE Transactions on, 26(2), 1145-1155.
[8] PVPS, I. (2002). Evaluation of islanding detection methods for photovoltaic utilityinteractive power
systems. Report IEA PVPS T5-09.
[9] Zeineldin, H. H., & Kirtley, J. L. (2009). Performance of the OVP/UVP and OFP/UFP method with voltage and
frequency dependent loads. Power Delivery, IEEE Transactions on, 24(2), 772-778.

46. [10] Warin, J., & Allen, W. H. (1990). Loss of mains protection. In Proc. 1990 ERA Conference on
Circuit Protection for industrial and Commercial Installation, London, UK (Vol. 4, pp. 1-12).
[11] Jang, S. I., & Kim, K. H. (2002). Development of a logical rule-based islanding detection method
for distributed resources. In Power Engineering Society Winter Meeting, 2002. IEEE (Vol. 2, pp. 800-
806). IEEE..
[12] Samui, A., & Samantaray, S. R. (2013). New active islanding detection scheme for constant power
and constant current controlled inverter-based distributed generation. IET Generation, Transmission
& Distribution, 7(7), 779-789.
[13] Smith, G. A., Onions, P. A., & Infield, D. G. (2000, January). Predicting islanding operation of grid
connected PV inverters. In Electric Power Applications, IEE Proceedings- (Vol. 147, No. 1, pp. 1-6).
IET.
[14] Lopes, L. A., & Sun, H. (2006). Performance assessment of active frequency drifting islanding
detection methods. Energy Conversion, IEEE Transactions on, 21(1), 171-180.
[15] Karimi, H., Yazdani, A., & Iravani, R. (2008). Negative-sequence current injection for fast islanding
detection of a distributed resource unit. Power Electronics, IEEE Transactions on, 23(1), 298-307.

47. What is the significance of the Islanding Detection?
What are the types of detection technique?
Differentiate between the non-signal and signal
processing based passive IDM.
Specify the advantages and disadvantages of Active
IDM.
Give the reason, why the hybrid IDMs are proposed.