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An Analytical Survey of the Islanding Detection Techniques of Distributed Generation Systems

  • Suman Khichar
  • Mahendra Lalwani
Review
  • 269 Downloads

Abstract

This paper provides an analytical survey of the islanding detection techniques for the distributed generation systems. Islanding phenomena on takes place when the power supply from the main utility is intermittent due to numerous reasons, but the distributed generation keeps supplying power into the distribution networks. Islanding can be dangerous to workers and electrical equipment, even the power grid. Therefore, islanding detection is the priority among priorities. Islanding detection is a precondition of two working modes switching for distributed generation. In this paper, a detailed description followed by the classification of the islanding detection techniques has been made based on features, such as detection time, size of non-detection zone, power quality disturbances, system cost and operation under multiple distributed generation units. The merits and demerits of islanding detection methods are analyzed and summarized in this paper. In this manner, the greatest detection outcome can be achieved by exploiting the merits of each method. This paper is aimed to serve as a convenient reference and guidance value for deciding the islanding detection method for future islanding users in distributed generation system.

Keywords

Distributed generation Point of common coupling Islanding detection 

Nomenclature

DG

Distributed generation

UI

Unintentional islanding

EPS

Electric power system

PCC

Point of common coupling

NDZ

Non-detection zone

PLL

Phase lock loop

IDMs

Islanding detection methods

VU

Voltage unbalance

Pinv

Inverter active power

Qinv

Inverter reactive power

ΔP

PCC active power

ΔQ

PCC reactive power

VPS

Positive sequence voltage of the DG terminal voltage

VNS

Negative sequence voltage of the DG terminal voltage

Cf

Chopping fraction

tz

Dead time

TVutil

Time period for one cycle in the utility voltage

K

Accelerating gain

fPCC

Measured frequency of PCC

fgrid

Line frequency

cf0

Chopping fraction where there is no frequency error

cfk

Chopping fraction of the previous cycle

fm

Maximum frequency

𝜃m

Maximum phase shift occurring at frequency fm

fn

Rated frequency

fk− 1

Frequency at the previous cycle

SCADA

Supervisory control and data acquisition

Introduction

Distributed generation (DG) technology is increasing day by day because of the rapid development in the world and as scientific, technological progress and economic development, people on the environment demand. The development and utilization of new energy has been continuously developing [1, 2, 3]. Distributed generation technology is not only clean, environmental protective, economic and efficient, but also can look up the stability and flexibility of the whole power system. In recent years, distributed generation technologies have developed rapidly, and that implement the parallel operation. Distributed generation technology in power system not only improves the reliability and flexibility of the power, but also brings some new challenges at the same time, an islanding effect is one of them [4, 5, 6, 7].

Islanding refers to when the power company or power supply enterprises cannot control range, due to power failure of grid-connected power generation system and the load to form a self-contained power that supply electric power company. The self-sufficiency of islanding phenomenon can make severe effects to repair personnel and electrical apparatus even the power grid. So the distributed generation system needs to be able to suitably detect the occurrence of islanding [7, 26]. At present, the islanding detection methods include local detection and remote detection technology. Local detection technologies include active technology and passive technology. Figure 1 broadly classifies anti-islanding techniques. The local techniques are based on the measurement of parameters at the local DG terminal and are generally preferred. These techniques are further classified into the passive, active and hybrid techniques. The remote techniques are based on communication between the grid and the DG, and are very expensive. Utility-interactive PV inverter islanding might occur as an outcome of the follow circumstances [7, 8, 12, 28]:
  • Power grid terminates in repair and leads in the direction of the power engrave of the entire power grid, but throw put on the brake switch is at a standstill associated to power network, subsequently, PV organism has the prospect to carry on to work for a numeral of times.

  • Power distribution scheme breaks, after that toward a situation or switch trips, which resolves beginning PV organism and its load toward structure an incorporated system supplying power through it.

  • Switch outing of the PV scheme breaks alone or inside accident, but grid-coupled coordination and its load activate in island appearance.

Fig. 1

The categorization of anti-islanding techniques

Primary flow chart for islanding process is exposed in Fig. 2. The flow chart for islanding detection principle describes process and each step for islanding detection technology. Although, there are several rewards of during service structure within island approach, further, there are many drawbacks of it. Several of them are the same as follows [9, 10]:
  • Safety awareness: Safety is the major awareness, at the identical time as the grid may at a standstill be powered, in the end result of a power outage suitable to electricity entire by distributing generators. This may confuse the utility employees and describe them to hazards such seeing that shocks.

  • Customer’s appliances harm: Suitable for islanding and distributed production there may a bi-directional flow of electricity. This may become a basis to severe harm to electrical apparatus, appliances and devices. Some devices are additionally responsive to voltage variance than others and should for all time be prepared with surge protections.

  • Harm to inverter: In the case of bulky solar systems, several inverters are installed throughout the distributed generators. Islanding may possibly cause tribulations within proper carrying out of the inverters.

Fig. 2

Flow chart describing the process of basic islanding operation

Two key features are to be defined for better understanding of islanding phenomena namely non-detection zone (NDZ) and quality factor (Q) [10, 11]. These two are extensively used as the criteria to evaluate the islanding detection methods.

Non-detection zone (NDZ) is the interval of failure in detecting the island by DG once islanding has occurred. This region relates the power mismatched between the DG and local load. There NDZ is considered as an evaluation index for islanding detection methods. Quality factor is defined as 2π times the ratio of maximum storage energy to energy dissipated per cycle at a given frequency. Q factor is proportional to NDZ and therefore NDZ should be as small as possible. The description of this paper classified in following section: “Islanding Detection Techniques” provides classification of the islanding detection techniques. Section “Merits and Demerits of Islanding Detection Techniques” describes merits and demerits of passive, active and remote islanding detection techniques. Comparison of various islanding detection methods based on detection time, size of non-detection zone, power quality disturbances, system cost and operation under multiple distributed generation units are described in “Comparison of Various Islanding Detection Methods”. Overall conclusion of this work is presented in “Conclusion”.

Islanding Detection Techniques

Local Techniques

Passive Islanding Detection Techniques

Passive methods observe parameters such as variations in the voltage, frequency, harmonic distortion, power, phase angle etc. used to identify the islanding condition. When island occurs, enormous variation in these parameters can be observed [13, 31]. To discriminate islanding condition from the other disturbances, unique care must be taken while setting threshold values. Figure 3 shows the basic process of passive islanding detection procedure. Excessive care should be taken while setting the value of threshold in order to discriminate islanding operation from other disturbances in the controlled system. In general, passive detection techniques are fast and create no disturbance in the system; however it has a large NDZ which could fail the islanding detection [14, 49].
Fig. 3

Flow chart describing the process of passive islanding detection procedure

Under/Over Voltage Protection (UVP/OVP) and Under/Over Frequency Protection (UFP/OFP)

In this technique, when islanding occurs, the DG stops supplying power to the utility grid if the frequency or amplitude of the voltage at the point of common coupling (PCC) crosses their threshold confines and that deviation in the parameters is used to identify islanding condition. Just the once islanding location has been detected; the DG must cease its operation [15]. The power flow in a PV grid connected system is accessible in Fig. 4, which the node PCC is the point of common coupling between the utility grid and power conditioning unit.
Fig. 4

Operation of power flow in Grid connected photovoltaic system-Islanded operating mode

During islanding mode of operation, the control system should be able to maintain the active power demand for the local load equivalent to the power generated by PV at the moment when the utility circuit breaker is opened. In case the power generated by PV, PPV is less than the load power, PLoad the voltage at PCC has to be increased to achieve equivalent input and output power and vice-versa. Similarly, if the reactive power of local load does not match the reactive power generated from PV, the frequency at the PCC has to be controlled to make both reactive power equivalents.

At the PCC,
$${\Delta} \mathrm{P} = \mathrm{P}_{\text{Load}} - \mathrm{P}_{\text{inv}} \mathrm{~\&~} {\Delta} \mathrm{Q} = \mathrm{Q}_{\text{Load}}- \mathrm{Q}_{\text{inv}} $$
The value of ΔP and ΔQ resolve of the presentation of the system when DG is detached from the utility grid. However, this method has, particularly in the case when ΔP and ΔQ are near to zero [15, 16].

Phase Jump Detection (PJD)

The island is detected if the phase angle deviation exceeds a predefined threshold. The PJD technique searches for a swift revolutionize in phase angle to detect islanding as shown in Fig. 5. This method has a straight forward implementation because only modify the phase locked loop (PLL) obligatory by the inverters for utility synchronization is needed [42]. The swift alteration in the phase angle is the key to identify islanding in PJD. The PLL is used to synchronize the inverter output current and the grid voltage during ordinary operation. When the phase errors go beyond a preset value, the inverter is discontinued from its process.
Fig. 5

The operation of phase-jump detection

Detection of Voltage Unbalance (VU) and Total Harmonics Distortion (THD)

A normal grid has the characteristic of low impedance which enables it to acquire and supply power to additional devices connected to it. Even though compensation and control algorithms are embedded into the power system, the voltage harmonics will be present in low magnitude rewarding the standards of harmonic distortion (THD< 5%). When islanding occurs the grid is disconnected from the inverter module and the local load is immediately connected with the inverter. Since the local load has superior impedance compared with the grid, harmonic levels are also high which can be made as indicated for the islanding detection. This method suffers from a misinterpretation of an islanding event due to changes in the harmonic conditions triggered by sudden removal or addition of non-linear loads to the systems. This constraint of THD based detection technique leads to use voltage unbalance as an islanding detection parameter in combination with THD [18].
$$\begin{array}{@{}rcl@{}} \text{VU (Voltage Unbalance)}=\frac{V_{NS} }{V_{PS}} \end{array} $$
(1)
V PS and V NS are the positive and negative sequence voltages of the DG terminal voltage. When island occurs, adjust in the topology of the power system results in changes in VU, even for the petite amount of power mismatch. Therefore, the VU parameter along with the THD parameter is used to detect islanding condition.

Rate of Change of Frequency df/dt

This method calculates df/dt and monitors the voltage waveform at PCC. Huge value of df/dt can be experienced during islanding. The threshold limits must be elected such that the scheme can distinguish between the island and the ordinary load modify the condition. The threshold setting for this method is 0.1-1.2 Hz/s. This method may bring to a standstill working to detect islanding condition when there is small, power variance between DG’s ability and local load [19].

Rate of Change of Power dp/dt

During islanding, dp/dt during normal grid connected condition is much smaller than the dp/dt for the same rate of load change. This method is much effective for unbalance load dp/dt during normal grid connected condition to a certain extent than balanced load [20].

Rate of Change of Frequency over Power df/dp

In this method df/dp is measure parameter to identify islanding. For petite power generation capacity system df/dp is bigger than that of system with superior power generation capability. For small power variance between DG’s capacity and local load df/dp is much more perceptive than df/dt to detect island [21].

Active Islanding Detection Techniques

The active islanding detection method is based on the insertion of a small interruption signal to define parameters at the PCC [30]. Figure 6 describes the basic operation of power flow in active islanding detection procedure. The concept of this method is that small interruption signal will become considerable upon entering the islanding mode of operation in order to help the inverter to swing the power change. Hence, the values of system parameter will be unreliable during the cessation of power conversion, and by measuring the consequent system parameters, islanding condition can detect [22]. However, this method requires additional control circuits to create adequate disturbances, which increase the complexity for implementation. Nevertheless, an additional circuit may cause unpredicted effects to the electric power quality, such as the deterioration of the grid voltage quality and system instability [30].
Fig. 6

Flow chart describing the process of active islanding detection procedure

Frequency Bias or Active Frequency Drift (AFD) Method

In this method, when islanding occurs, the frequency at the PCC will drift positive or negative. Due to the constancy of the grid, the voltage and frequency at the PCC will not modify [27, 28, 41]. In the occurrence of an islanding taking place, the utility grid is detached and the local load is associated to the inverter output. If the associated load is purely resistive in nature, then the voltage reaction of this load is same as that of the current waveform, which is unclear. The inverter, on the other hand, detects this phase lag and indulges in a drift in frequency in its current reaction to create the phase lag to zero. DG operated grid associated inverters are designed to operate at unity power factor and hence the drift occurs. If the drift in frequency exceeds the threshold value set by the Under/Over frequency relays, islanding is detected. The major parameter relating the distortion of the inverter injected current is the chopping fraction (cf ), given by the following equation.
$$ cf=\frac{2t_{z} }{T_{Vutil} } $$
(2)
where tz is the dead time and TV util is the time period for one cycle in the utility voltage.

Sandia Frequency Shift (SFS)

SFS method is an innovative method enhanced from Active Frequency Drift (AFD) [29]. SFS using positive feedback by creating to some extent uneven phase angle at inverter output current through adding up truncations or dead times to the current waveform [23, 25]. The chopping fraction (cf ) expressed in Eq. (3) is resolute to be a function of error in the grid frequency.
$$ cf=cf_{0} +K\left( f_{PCC} +f_{grid}\right) $$
(3)
where cf 0 is the chopping portion when there is no frequency error, K is accelerating gain, fPCCis the measured frequency of PCC, and fgrid is the line frequency. When the utility grid is associated, a slight change in frequency due to load variation does not influence the strong grid. But when the utility is detached, frequency at PCC increases the frequency error. The cf increases, which results in modifying in frequency of the inverter. This cf increases due to positive feedback till it reaches a threshold situation for OFP and islanding is detected [25].

Sandia Voltage Shift (SVS)

In this technique, when the utility grid is coupled, there will be very small or no cause of the power of the system. But once the utility is detached, there is turn down in VPCC. According to the load impedance’s correlation, thus lessening will continue and as a result, current and power output reduces. Therefore, this drop in amplitude of VPCCcan be detected by UVP. It is possible, moreover to raise or condense the power output of the inverter, most important, to corresponding OVP/UVP to trip and discontinue inverter operation [24].

Active frequency drift with positive feedback (AFDPF)

The AFDPF is a calibration method of the AFD (Zhang Xiao li-etal:2012) to prevail over the drawbacks suffered by it in suitcases of multi inverter utility and loads with a large significance of L and C. The AFDPF uses a positive gain feedback which is the underlying of this method. This positive feedback increases the chopping fraction which leads to recognition of frequency deviations of the utility load and the output current of the inverter with an elevated rate with respect to time. At these elevated rates of detection, islanding can be detected further quickly.
$$ cf_{k} =cf_{k-1} +K({\Delta} \omega_{k} ) $$
(4)
where cf k = chopping fraction of the previous cycle, k = frequency difference between the previous cycle and present one, K = positive gain constant. The value of cf in AFDPF can be up or down. No matter if frequency drift is upward or downward, this method can add force to the frequency drift as an alternative of counteracting it, overcoming the impact of the load parameters [32, 33, 34]. The power quality is to some extent exaggerated due the distortions injected into the grid. The utility voltages NDZ for high-quality factor loads are at a standstill large in this technique [35, 42].

Impedance Measurement (IM)

This method detects the changes in impedance during grid disconnection in the output of the inverter. The change in impedance is calculated by the rate of change of voltage to the current of the inverter. During islanding operation, the voltage varies with respect to the current and it is monitored from the inverter side [40]. This equivalent impedance seen from the inverter can be used to detect islanding. In case of multiple inverters unless and until all the inverters operate synchronously the detection will not be effective. Also, it is very tedious to obtain the exact value of grid impedance to be set for the threshold value since it is highly intermittent [36].

Slip Mode Frequency Shift (SMS)

In this method, a positive feedback is applied to the phase of the PCC voltage to destabilize the inverter during islanding. Shifting the phase of the voltage, results in change in frequency. Figure 7 shows the utility frequency, the phase of inverter curve increases rapidly than the phase of the load [37]. An SMS curve is given by the following equation:
$$ \theta =\theta_{m} \sin \left[ {\frac{\pi }{2}\frac{f^{k-1}-f_{n} }{f_{m} -f_{n} }} \right] $$
(5)
In Eq. 5, 𝜃m is referred as maximum phase shift occurring at frequency fm. fnis the rated frequency and fk− 1is the frequency of the previous cycle.
Fig. 7

Operation of slip-mode frequency shift method

During normal grid connected condition, the inverter operates at a frequency w0 with zero phase angles. When the utility is disconnected, the frequency of the PCC voltage will change and accordingly phase response curve increases the phase angle error and hence inverter becomes instable to operate at utility frequency w0. This instability further amplifies the perturbation in the frequency and thus the system will move to another operating point either w1 or w2 which is the frequency outside the range of OFP/UFP [44]. Implementation in this method is easy and has comparatively smaller NDZ than passive methods. But for some RLC load, which has a phase of load increased at a faster rate, than the phase of inverter like the load which has high Q factor, this method fails to detect an islanding condition [11, 38].

Hybrid Islanding Detection Techniques

Hybrid method is evolved from the recipe of both active and passive detection methods [13, 22]. The hybrid methods involve two stages of detecting actions to overcome the problems of passive method and active method, in order to attain higher efficiency [39]. Throughout the detecting course of action, passive detection method is used as prime protection, and then the active detection method is implemented when the islanding is assumed through the passive method [13]. Figure 8 shows the operation of power flow for hybrid islanding detection procedure.
Fig. 8

Flow chart describing the process of a hybrid islanding detection procedure

Hybrid islanding detection methods work in the system of detection voltage at PCC to realize the islanding detection. Hybrid methods provide better effectiveness for detecting islanding. Most of the proposed methods are still in the research and development stage, yet to reach practical implementation in real systems [39].

Remote Techniques

Methods at the Utility Level

The utility also has a variety of methods available to it to force systems offline in the event of a failure.

Impedance Insertion

In the impedance insertion method, the small significance impedance, generally a capacitor bank is installed on the utility system [40]. If the local load be of the kind that causes complexity in islanding detection, the adding together of the bulky capacitor would disappoint the balance between the generation and load. However, the present is several remunerations toward using a capacitor for the reason that such capacitor banks are the similar be going to as those that serve awake as a reactive power sustain purpose for the utility. But adding up a capacitor bank in grid side will increase procedure complexity and cost and it will have some delay as soon as adding up the capacity bank in this method, so responding speed will be low.

Communication Based Methods

Communication based methods have the best performance, compared to the passive and active methods; because of these methods, all circuit breakers are monitored by the control system [42].

Trip Transfer Schemes

This scheme incorporates SCADA (supervisory control and data acquisition) to observe the position of circuit breakers and reclosers. By means of monitoring the position of the utility circuit breaker secure to PCC islanding is detected. At this point, voltage sensing strategies are used in the confined parts of the utility system. Alarms associated in series resolve conscious the DG in case of any voltage there when the utility arrangement is detached and curative act resolve is taken [34, 42].

Power Line Carrier Communication (PLCC)

PLCC method uses the communication channel during the utility power line on behalf of islanding detection [43]. During this method, a miniature energy signal is propelled between the transmitter (T) installed by the side of the utility and the receiver (R) inserted at the DG side. This communication, determination is disturbed at what time islanding occurs and a stopping signal is sent toward PCU or a switch through the receiver in the direction of segregating the load [44].

Signal Produced by Disconnect (SPD)

The SPD method just about has no NDZ, and has a further feature which allows control of DG as a result of the main grid, which would survive precious [45]. This bringing together helps during civilizing the early characteristics of the system. Huge capital speculation is desired to be used for installation of transmitters, receivers, cabling repeaters (for microwave transmission) and setting awake of communication set of a rule which makes this method unsuitable for low power density DG units [46, 47].

Merits and Demerits of Islanding Detection Techniques

Table 1 shows the ordinary merits and demerits of passive, active and remote methods. Passive method is the important constraint of grid associated DG, because this method is proficient and practical. Active methods are developed in the direction of the condense NDZ of passive methods, as a consequence, most of the active methods have very small NDZ compared toward passive methods, apart from in cases of high Q factor loads. As a result, active methods are capable to corrupt the system stabilization and power quality [1, 17, 48]. This concern will develop further significance when more inverters are associated with same DG. Communication support detection has just right concert, although the system and process cost is extremely elevated, proper toward the supplementary telecommunication strategy and sensors installed by the side of utility. Hence, these methods are frequently applied to large size systems with perceptual load, wherever power quality and system stabilization are tinted instead of system cost. Therefore, by means of the principle to solve problems of individuals three common methods, hybrid detection methods have been proposed towards reducing NDZ, make available better power quality and cheaper system cost.
Table 1

Merits and demerits of islanding detection techniques

Islanding detection techniques

Advantages

Disadvantages

Passive techniques

∙ Smaller detection time

∙ Threshold setting is difficult

 

∙ Do not introduce any perturbation in the system

∙ If the setting is too destructive than it could result in nuisance tripping

 

∙ Do not humiliate output power quality of the DG

∙ Difficult to detect islanding when DG capacity and local demand are directly matched

 

∙ Accurately detect islanding condition where there is large variance between DG capacity and local demand

∙ Large NDZ

Active techniques

∙ Small NDZ

∙ Introduce perturbation in the system

 

∙ Still, for perfect match between DG capacity and local load demand, it can detect islanding

∙ Output power quality of the system degrades and if considerable enough, it will degrade the stability of the system

  

∙ Detection time is slow

Remote methods

∙ Further, consistent

∙ Expensive toward implementing

Comparison of Various Islanding Detection Methods

It is necessary to know the restrictions on anti-islanding methods obtained before the comparison. All methods discussed over can have subsequent limitations [48, 49].
  • Elevated achievement costs

  • Inclination toward counterfeit procedure into multiple DG case

  • Happening of NDZ’s

  • Decline in power quality, and scheme constancy

Cost has all the time been a dominant factor in determining realistic and reliable method designed for islanding detection. Owing to these reasons, active methods are generally intended for islanding detection [42, 49]. The appraisal of the range of IDMs and their performances through detection time, size of NDZ, power quality disturbances, system cost and operation under multiple DG units is given in Table 2.
Table 2

Comparison of various islanding detection techniques

Type of IDM

Methodology

Detection time

NDZ

Power quality

System cost

Operation under Multi DG units

OUV/OUF

P

#

VL

NI

L

PJD

P

#

NI

L

VH

P

NI

L

ROCOP

P

M

NI

L

ROCOF

P

S

NI

L

AFD

A

S

S

SD

H

Δ

AFDPF

A

S

SD

H

Δ

SFS

A

S

S

SD

M

Δ

SVS

A

S

S

SD

M

Δ

IM

A

S

S

SD

H

Δ

SMS

A

S

*

SD

H

Δ

PLCC

C

*

*

NI

VH

SPD

C

*

N

NI

VH

SCADA

C

*

N

NI

VH

Note: P = passive method, A = active method, C = communication method, # = large, ∘ = average, S = small, VL = very large, N = none, NI = no impact, * = very small, M = medium, SD = slight degrade, L = low, H = high, VH = very high, ∙ = possible, Δ = complex

In this paper, it can survive there that active methods are profoundly emphasized during the majority of investigating and enlargement resting on uncovering method. Current PV grid associated systems are generally functional in small range basis to provide the failing effects by means of active detection methods fewer considerable. Presently among all active methods, SVS and SFS methods are well thought-out the mainstream, effectual methods intended for PV based DG [50].

Conclusion

This survey provides a classification of islanding detection techniques based on detection time, size of non-detection zone, power quality disturbances, system cost and operation under multiple distributed generation units, which is possibly useful for selecting islanding detection technique for a particular application. The survey has discussed the merits and demerits of islanding detection methods. Review of several passive and active islanding detection methods through the purpose of relying upon taking place measurement of local parameters. Active methods are advanced to the passive detection methods, even while there is no variance between power generated and demanded during the local island. Remote methods for islanding detection are advanced to local islanding detection methods, however, to the increased cost and stage of advantage. It is observed that active methods are more accurate but passive methods are faster. Hybrid detection methods are robust, and suitable for individual problems for reduced NDZ, better power quality with cost effectiveness. This paper is intended to serve as a convenient reference for future islanding users in distributed generation system.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Electrical EngineeringRajasthan Technical UniversityKotaIndia

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