Abstract
Sudden changes in loading or configuration of an electrical network causes power swing which may result in an unwanted tripping of the distance relay. Hence, it becomes utmost necessary to rapidly and reliably discriminate between actual fault and power swing conditions in order to prevent instability in power network due to mal operation of distance relay. This paper proposes a novel method for the discrimination between fault and power swing based on rate of change of voltage and reactive power measured at relay location. The effectiveness of the proposed algorithm is evaluated by simulating series of power swing conditions in PSCAD/EMTDC® software for different disturbances such as change in mechanical power input to synchronous generator, tripping of parallel line due to fault and sudden application of heavy load. It is revealed that the distance relay gives successful tripping in case of different fault conditions and remains inoperative for power swing with the implementation of the proposed algorithm. Moreover, the proposed scheme has ability to distinguish the symmetrical and asymmetrical fault occurrence during power swing condition.
1 Introduction
The power system leads to electrical oscillations due to large and sudden disturbances such as change in mechanical input to the turbine, removal of faults on transmission line, switching on/off of heavily loaded transmission lines, or sudden application/rejection of heavy load. These electrical oscillations are responsible for changes in bus voltages and power transfer through the transmission lines. The phenomenon that creates large variations in power flows between two areas of power system is referred as Power Swing and is classified as stable and unstable power swing. For stable power swing, the electrical oscillations die out and system can again recover stable operating mode. However, severe disturbances results in unstable power swing. Following the unstable power swing, the angle between two equivalent machines progressively increases and eventually both machines lose synchronism [1–3]. The stable or unstable power swing may cause large fluctuations in voltages, currents and power flows. The distance relay which measures the apparent impedance based on actuating signals of voltage and current may mal-operate during power swing [4]. An undesirable tripping of transmission line due to mal-operation of distance relay against power swing may aggravate the power system stability. Hence, the operation of the distance relay has to be blocked during power swing (stable/unstable) by incorporating the power swing blocking (PSB) function in distance relays. On the other hand, the distance relay must operate correctly for the actual fault condition without any undesired time delays [5–7].
Many techniques have been proposed in literature by researchers to distinguish between power swing and fault condition. Mechraoui et al. presented power swing discrimination method based on calculation of phase angle difference of voltages at local and remote end [2]. The same authors have proposed a scheme for detection of high resistance earth faults which may occur during a power swing [6]. The validation of the presented techniques does not include symmetrical fault cases which may occur during the power swing. Lin et al. [7] proposed a cross blocking scheme based on rate of change of active and reactive power to detect symmetrical faults during power swing condition. B. Su et al. [8] introduced an improved fast fault detection method based on the swing centre voltage (SCV). This scheme results in delayed operation in case of fault occurrence during power swing. This cannot be acceptable for EHV transmission lines of 220 kV and above voltage levels.
Brahma [9] has proposed wavelet transform (WT) based technique which detects power swing as well as symmetrical fault during power swings. However, the prime limitation of this scheme is that it requires a high sampling rate of 40.96 kHz. Reddy et al. [10] have demonstrated modified Wavelet and S-transformer based technique for power quality disturbance in power system. Bhalja et al. [11] and Mohamad et al. [12] have presented an approach to detect power swing based on S-transform signal processing tool. Conversely, high filtering followed by decomposition in wavelet increases the computation time of algorithm and demands more hardware requirements. A. F. Abidin et al. [13] offered a blocking scheme for distance protection during power swing based on derivative of the reactive power as seen by the relay. It is noted that the dQ/dt criterion alone fails to discriminate the fault and swing condition during severe system disturbances. Pang et al. [14] presented an algorithm for detection of symmetrical faults during power swing based on extraction of high-frequency energy component of forward and backward travelling waves induced by faults using wavelet transform. The travelling wave based technique requires high sampling rate. Also, it has difficulties in distinguishing travelling waves reflected from the fault point and those from remote end of the line.
Lotfifard et al. [15] have proposed a method based on extraction of current components to detect symmetrical faults during power swing using Prony algorithm. This method depends on the relationship between faults and decaying dc component of fault current, hence, cannot be used as a standalone scheme. Zadeh et al. [16, 17] demonstrated an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) based scheme for power swing blocking. Esmaeilian et al. [18] presented power swing detection scheme using S-transform and ANN for series compensated transmission lines. The main limitation of ANN and fuzzy based schemes is that it uses explicit knowledge based fuzzy rules. Hence, it gives insufficient information about the fault symptom relationship. Moreover, it needs a large number of training patterns in achieving a consistent relay operation.
Gautam et al. [19] proposed out of step blocking function for distance relays using mathematical morphology (MM). However, the process of design and selection of structuring element (SE) in MM is very complex and time consuming. Another method is proposed in [20] based on detection of the fundamental frequency component created on the instantaneous three-phase active power after inception of a symmetrical fault. Garlapati et al. [21] and Mohammed et al. [22] described power swing detection and fault classification method based on multi-agent aided distance protection. However, aforesaid schemes can be failed to identify symmetrical faults during the power swing and high resistance faults. Also, multi-agent systems are based on travelling waves from nearby substations which can be distorted during the fault and communication link failure during the fault. M. Sharifzadeh et al. [23] has presented a method based on rates of change of voltage and current magnitudes to block the distance relay during voltage degraded condition. R. Jafari et al. [24] demonstrated a scheme based on the circular locus of the admittance trajectory and its centre behaviour. Blumschein et al. [25] suggested power swing detection and out of step protection using geometrical parameters of impedance trajectory. Lin et al. [26] has evolved a novel self-adaptive distance protection scheme opposing to power swing based on time difference staying within the gap between two circles and the corresponding time staying within internal operating circle covering various types of fault during power swing. The prime limitation of this scheme is that it fails during high resistance fault occurring during power swing situation.
Now a day, numbers of techniques have been suggested for transmission line protection, although there exists a lot of opportunity for further development especially on the reliable discrimination between fault and power swing condition. Whenever a major disturbance occurs in transmission line, the voltage and power measured at any bus will be violated significantly. Hence, based on the combination of rate of change of voltage and rate of change of reactive power, a novel method is proposed in this paper to distinguish between fault and power swing condition. In order to test the proposed algorithm, various fault and swing cases have been generated by modelling a 220 kV power system network in PSCAD/EMTDC software package [27]. Validation of the proposed technique has been carried out by producing around 200 simulation cases for both power swing and fault conditions. The proposed algorithm for biasing of fault and swing condition is developed in MATLAB® software and found to be more efficient.
2 System modeling
Figure 1 shows single line diagram of a 220 kV power system network consisting of two sources connected by parallel transmission lines at Sending End Bus (SEB) and Receiving End Bus (REB). In Figure 1, the generators (G1 & G2) are modeled as an equivalent dynamic source representing a multi-machine system. Power is transferred from SEB to REB through parallel transmission lines. Bergeron model with distributed parameters is used for modeling of both transmission lines. Generator is modeled with one damper winding in q-axis and an IEEE Type 1(AC1A) solid-state exciter. Both sources G1 & G2 are connected to the bus through Generator Transformer (GT) of equivalent capacity. The three phase variable loads are connected at REB. The distance relay ‘R’ is located in Line 2 near SEB for which discrimination between fault and power swing is required as shown in Figure 1. The system and line parameters are given in Appendix-A. Sampling frequency of 4 kHz (80 samples/ cycle) at 50 Hz nominal frequency is used in this study.

Single line diagram of power system network.
In order to validate the proposed algorithm for discrimination between fault and power swing condition, several case studies are carried out in PSCAD. The fault conditions have been created for all possible ten type of faults(L-g, L-L, L-L-g and L-L-L-g) in power system. These faults are applied either on line L1 or line L2 by varying the fault locations with different values of fault resistances and fault inception angles. The change in loading patterns at REB, the sudden application of mechanical input to turbines of generating units at SEB and energizing/de-energizing loaded parallel line (L1) have also been considered for creation of power swing.
3 Proposed method
3.1 Problem description
During the fault condition, the voltage at the bus reduces and current through the line increases thus impedance seen by the distance relay decreases. Distance relay operates when measured apparent impedance (Z) enters in predefined zones (may be Zone-1, Zone-2 or Zone-3) of distance relay and stays therein for the longer duration than the set value of operating time. The possibility of mal-operation of distance relay due to tripping of Zone-3 element in the event of power swing is more as Zone-3 covers highest reach on R-X plane. Hence, functionality of Zone-3 of distance relay is considered in this study during severe system disturbances.
Figure 2 represents the MHO relay characteristic (Zone-3), inner and outer Power Swing Detection (PSD) Zones and impedance trajectory seen by the relay installed on line L2. The system shown in Figure 1 was initially loaded and the locus of measured impedance falls away from the outer PSD Zone at point X as shown in Figure 2.

Impedance locus of line L2 relay at SEB during 25% load increase at REB.
The conventional power swing detection technique is shown in Figure 2 which operates on the rate of change of the impedance (dz/dt) during its travel between blinders (PSD Zone) and Zone-3. This rate of change of the impedance (dz/dt) is too slow and takes more time during power swing condition to cross the distance between blinder and Zone 3. On the other hand, its movement is faster during fault. However, during major system disturbances, this scheme may fail due to unwanted tripping of relay in third Zone [23].
The system disturbance is created at time, t=2 s by applying sudden increase in load of 25% at REB. This causes the power swing in a system and apparent impedance seen by the relay travels from original operating point - X towards Zone-3 of relay. If it stays therein for longer duration, then the relay issues trip signal and finally line L2 gets disconnected unnecessarily which results into system instability as shown in Figure 3. On the other hand, during third zone weak fault (at far end of next line), the trajectory of impedance some time remains outside the Zone-3 characteristic and relay remain inoperative after a predefine time elapse for backup protection.

Distance relay operation during heavy load fall on system.
Hence, blinder characteristic based power swing blocking technique is not competent to discriminate between load encroachments and short circuit in all the way. Relay mal-operation during system disturbance other than actual fault leads to redundant system separation and affect system stability. Hence, a new method is suggested in order to prevent relay mal-operation and securing power system stability.
3.2 Proposed method
For discrimination between power swing and actual fault condition, a simple but effective method has been proposed in this work. The method utilizes the rate of change of line voltage and reactive power as a decisive factor for the required discrimination.
Any change in the power system network in terms of short circuit or change in load accompanies the variation of bus voltages and power transfer through the transmission lines. These variations in generator/bus voltages and power (active and reactive) depend on the nature of change in system configuration. With the measurement of rate of change of bus voltage VS and line reactive power QS at SEB, an appropriate index is determined which can be effectively used to discriminate between fault and power swing condition.
It is observed that whenever short circuit occurs on transmission line, the voltage magnitude is considerably decreases in the faulted phase [28]. However, it is also observed that the magnitude of voltage get reduces during generator outage or sudden load increase and excitation failure which can result in negative rate of change of voltage (dV/dt). Thus, the technique based on rate of change of voltage alone may not be capable to discriminate the said two power system conditions of transmission line.
To overcome the limitations of decision criteria made on the basis of only rate of change of voltage magnitude, a new algorithm is proposed which perfectly distinguishes fault and power swing conditions. The proposed algorithm is based on combination of rate of change of bus voltages (dV/dt) and line reactive power (dQ/dt) measured at relaying point at SEB. The proposed fault and power swing discriminating algorithm is shown in Figure 4.

Proposed Algorithm to Discriminate Power Swing and Fault Condition.
The occurrence of both fault and power swing brings the impedance locus seen by the relay into the operating region of Zone-3 of distance relay. But the dV/dt and dQ/dt based decision logic precisely identify the actual condition due to which the impedance locus is brought in the operating zone of the distance relay. Decision about the fault or power swing conditions depends on the following criteria:
A fault is declared, when:
Otherwise power swing is declared and activates Power Swing Blocking (PSB).
Once the fault condition is declared, the relay logic waits until the timer times out. The final check for the status of impedance locus to stay within the operating region of distance relay will be ascertained. The relay issues the trip signal if the impedance locus still present within the zone-3 boundary of the distance relay for the longer duration than timer out time.
The reactive power measured by the distance relay can be represented by:
where,
Qs=Sending end reactive power,
Vs=Sending end voltage
Vr=Receiving end voltage (reference),
δ=angle difference between Vs and Vr,
X=Line reactance
For smaller values of angle difference (δ) and load impedance, the amount of reactive power delivered is very low. During fault condition, the value of angle difference (δ) may change drastically within a cycle. Thus, the rate of change of δ is faster in event of faults as compared to power swing condition. Moreover, during fault on line, the relay encountered only the line reactance (X) present in the system up to a fault point. The variation in active power (PE) and reactive power (QS) with the change in δ is depicted in Figure 5. The reactive power increment is very high during fault as compared that of swing condition.

Real and reactive power flow in transmission line during change in δ.
4 Simulation results and discussions
In order to test the effectiveness of the proposed scheme under varying system conditions, a large numbers of simulation cases have been studied. These cases are simulated considering the following variations: (i) Fault Inception Angle (FIA) between 0° to 180° (ii) Ten types of faults (L-g, L-L, L-L-g and L-L-L-g) including high resistance fault (iii) Fault Locations (FL) on line L2 which also includes close in faults (iv) Fault Resistance (RF) and (v) Power Flow Angle (δ). Validation of the proposed scheme is also carried out for the faults which may occur when power swing is prevailing. The cases for power swing are generated by applying electrical and mechanical disturbances to the system. Considering all these varying conditions for faults and power swing, around 200 simulations cases have been analyzed and results are reported and discussed at length for the some of the simulated test cases. The sampling frequency of 4 kHz is considered which gives 80 samples per cycle.
4.1 Power swing cases due to electrical load switching
Application of the electrical load brings the impedance locus seen by the distance relay much closer to operating region of the relay whereas the rejection of the electrical load shifts it away. Thus, the distance relay faces the problem of overreaching and may mal-operate with the application of heavy electrical load if the Zone 3 characteristic covers larger portion on R-X plane. In this work, several cases for electrical load changes are considered by increasing the load at REB by 25%, 50%, 100% and 125% above its original loading as given in Figure 1. First two window of Figure 6 shows the waveforms of voltage and current measured at the relay location in Figure 1. Also, the magnitude of rate of change of voltage and reactive power for the case when the load is increased suddenly by 25% above its original value at t=3 s (1.2e4 samples) is shown in Figure 6. The rate of change of voltage and reactive power are compared against their preset values to take decision about the power swing. The threshold values for the rate of change of voltage and reactive power are set at 0.6 pu/s and 0.9 pu/s, respectively, based on the several simulations studies for power swing conditions. It can be observed from Figure 6 that during power swing, dV/dt and dQ/dt do not cross their respective threshold values, thus trip signal of the relay is not generated. This clearly reveals that the proposed method can effectively identify the power swing condition and prevent the mal-operation of the distance relay.

Variations in voltage and reactive power during 25% overloading.
4.2 Power swing cases due to mechanical disturbances
In this case, power swing is generated by changing the mechanical input to the turbine-generator system. The imbalance between mechanical power input to the turbine and electrical power output of generator results in acceleration or deceleration of the generator rotor. The rotor experiences the heavy oscillations till the imbalance between input and output power persists [29]. In this case, the mechanical power input to turbine is reduced by 20% below its original value at t=3 s. The dV/dt and dQ/dt are determined for this case and it is observed in Figure 7 that the values of these parameters are well below the set threshold value. Hence, for this case also, the relay remains inoperative against power swing conditions.

Power swing due to change in mechanical power input to the turbine of generator G1.
4.3 Fault Simulation on protected line (L2)
Various fault cases are simulated on line L2 by considering different types of faults and variations in system parameters such as Fault Inception Angle (FIA), fault resistance (RF), Fault Locations (FL) and Power Flow Angle (δ). For all these fault cases, distance relay must identify the faulty condition and operate as per the set operating time. Depending upon the zone of the fault, the operating time may be different. Figure 8 shows the variations in different parameters for the single-line-ground fault (L-g) which is created in line L2. The FIA, RF, FL and δ are set equal to 0°, 15 Ω, 30 km and 5° respectively. With the occurrence of the fault, the voltage and reactive power changes very rapidly this can be clearly noticed from Figure 8. The dV/dt and dQ/dt cross the threshold values and results in trip signal which has been initiated after waiting upto the operating time of the relay. Hence, in Figure 8, the trip signal for relay has been generated after certain samples once the fault condition is correctly declared by the proposed method. The substantial changes in dV/dt and dQ/dt for the fault condition as illustrated in Figure 8 are defensible as compared to those shown in Figures 6 and 7 for power swing. These significant changes have been successfully utilized for the discrimination between fault and power swing conditions.

Relay response during fault on line to be protected (L2).
4.4 Various fault cases during power swing
Distance relays must be blocked during power swing to ensure reliability of the power system. However, if a fault occurs during a power swing, it should be detected and the blocking function should be removed to clear the fault as soon as possible. Due to the symmetric nature of signals during the power swing, symmetrical faults are difficult to be detected. To test the proposed method, several asymmetrical and symmetrical faults are simulated on the line to be protected during different swing conditions persisting in system.
As shown in Figure 9, a power swing case is simulated at t=3 s by connecting extra load of 25% at REB and at the same time by disconnected parallel line (L1). However, the impedance trajectory doesn’t enter into third zone characteristic and hence, relay remain unresponsive. Later on, in continue power swing situation a symmetrical 3-phase fault is applied at t=4 s to validate the proposed scheme.

Performance of proposed method for fault discrimination during power swing.
It has been observed from Figure 9 that the dV/dt and dQ/dt value during power swing (at 3 s) are well below the threshold and hence no trip signal has been issued. On the other hand, during fault on power swing, these values crosses respective thresholds (at 4 s) and hence relay sends trip signal as shown in Figure 9. Thus, the proposed method successfully identifies symmetrical faults during power swings for all different power system conditions. In order to test the proposed scheme and further to compare with existing scheme, few extra fault cases are simulated during power swing condition. Table 1 shows the relay operation criterion and result in term of time of operation of the proposed scheme.
Comparison of proposed and existing scheme for symmetrical and asymmetrical faults during power swing situation.
Fault Case | Fault Type | Fault Location (Percentage of line length) (%) | Fault Resistance (ohm) | Tripping Time (ms) using existing method [26] | Tripping Time (ms) using proposed method | ||
Tripping Time (ms) | Trip Output | Tripping Time (ms) | Trip Output | ||||
1. | L-g | 40 | 10 | 24.5 | Yes | 21.2 | Yes |
2. | L-L | 40 | 10 | 24.5 | Yes | 21.2 | Yes |
3. | L-L-g | 40 | 10 | 24.5 | Yes | 21.2 | Yes |
4. | L-L-L | 40 | 10 | 24.5 | Yes | 21.2 | Yes |
5. | L-g | 60% | 10 | 28 | Yes | 23.45 | Yes |
6. | L-g | 40 | 80 | 30 | Yes | 24.1 | Yes |
7. | L-g | 40 | 200 | NOP | No | NOP | No |
8. | L-g | 95 | 10 | NOP | No | 27 | Yes |
The proposed algorithm is validated for the symmetrical and asymmetrical fault occurring during the power swing including variation in power system parameters like Fault Type, Fault Location and Fault resistance. A comparison between existing method [26] and proposed method is also outlined in above Table 1. It is to be observed from Table 1 that the proposed scheme operates faster than the existing scheme during various low resistance fault generated in presence of power swing. However, during high resistance fault (RF=200 Ω) as describe in case-7 of Table 1, existing and proposed scheme both remain stable as the impedance seen by relay is greater than the reach of zone-3. In addition, during the fault at far end of transmission line (95% of line length), as per case-8, in Table 1, the existing method fails to detect the fault during swing condition whereas the proposed scheme operates and issues delayed trip signal.
4.5 Power swing cases due to post fault isolation on line L1
Various faults were simulated on line L1 and effect of power swing was observed by quick isolation of fault on line L1. For this simulation case, a L-g fault is simulated at 2.9 s on L1 and thereafter power swing is generated by isolation of same fault at 3 s by opening of circuit breakers B1 and B2 of line L1.
Figure 10 shows the value of voltage and current of line L2 during fault and on isolation of fault from parallel line. The removal of fault at 3 s on adjacent line L1 produces power swing effect. The apparent impedance enters into Zone-3 setting of relay just after the instant of fault; hence, Zone-3 timer is initiated. Conversely, as fault is removed at 3 s (by local protection of line L1), the magnitude of dV/dt and dQ/dt goes down to that of the set value before the timer times out. Thus, the proposed relay remains stable and doesn’t issue any trip signal as shown in Figure 10.

System Condition during fault isolation on adjacent line.
4.6 Relay backup for fault on parallel transmission line
Since, Zone 3 relay mainly serves as a backup relay, the dynamic operation of the parallel or adjacent transmission lines should be considered. In case of a single line to ground fault on parallel line, the dynamic process, including the initiation of the fault, single pole tripping, and the correlative voltage and reactive power changing, should all be considered. The removal of fault on adjacent line L1 produces power swing effect, however the proposed relay (located on line L2 in Figure 1) remain stable and will not issue any trip signal as discussed in previous section. On the other end, if the fault on line L1 is not isolated by relay of parallel line L1, then the proposed relay located on line L2 will issue a trip signal and serve as backup protection.
To validate the algorithm, a solid L-g fault at 70 km from REB on parallel line L1 is created and parameter variations for the same are shown in Figure 11. It is observed that the impedance enters into Zone-3 region of relay characteristic. Moreover, the magnitude of rate of change of voltage i.e. dV/dt is higher than that of set value of threshold at the time of fault. Also, slightly high value of rate of change of reactive power (dQ/dt) is observed during said fault condition. It is to be noted that the impedance spot still remain in third zone after a set time elapsed by timer during said fault in parallel line. Thus, the proposed relay issues delayed trip signal and will serve as backup protection as shown in Figure 11.

Performance of proposed method for fault on parallel transmission line.
5 Conclusion
This paper presents a new method to discriminate fault condition and power swing condition in power system. The proposed algorithm utilizes voltage and current signal to calculate rate of change of voltage and reactive power. The magnitude changes of dV/dt and dQ/dt will effectively discriminate between faults and power swings conditions. The 220 kV power system network is modeled in PSCAD/EMTDC, whereas algorithm is designed and validated using MATLAB software. Feasibility of the proposed scheme has been tested with a simulation dataset of around 200 cases generated with varying faults and system conditions. Power swing cases are simulated by changing load, disconnection of parallel line, isolation of fault in adjacent line and mechanical disturbance. Various fault cases are generated by varying fault location, fault type, and fault resistance on line to be protected. Moreover, the proposed scheme is also validated for symmetrical and asymmetrical fault in existence of power swing condition and backup operation of relay during third zone fault on adjacent transmission line. The proposed scheme is very simple and more effective for discrimination of fault and power swing situations and found to be highly accurate for all the simulated cases in this study.
Correction Note
January 11, 2016; correction added after online publication: The abstract and keywords has been added.
Appendix
Generator Data (G1 and G2):
615 MVA, 13.8 kV, 50 Hz,
Inertia constant (H)=4 MWs/MVA
Xd=1.81 pu, Xd’=0.3 pu, Xd”=0.23 pu, T’do=8 s, T”do=0.03 s, Xq=1.76 pu, Xq”=0.25 pu, T”=0.03 s, Ra=0.003 pu, Xp (Potier reactance)=0.15 pu
Transmission-line Data:
Line Length: L1 & L2=120 km, System Voltage=220 kV
Positive-sequence impedance=0.0297+j0.332 Ω/km
Zero-sequence impedance=0.162+j1.24 Ω/km
Positive-sequence capacitance=12.99 nF/km
Zero-sequence capacitance=8.5 nF/km
Transformer data:
650 MVA, 13.8 kV/220 kV, DYng, 50 Hz three phase transformer with leakage reactance of 12%.
Full Load:
Load-1: 200 MW,
Load-2: 400 MW and
Load-3: 500 MW, at 132 kV, 0.85 power factor, 50 Hz.
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Articles in the same Issue
- Frontmatter
- Research Articles
- Evaluation of Superimposed Sequence Components of Currents based Islanding Detection Scheme during DG Interconnections
- Dynamics of a Flywheel Energy Storage System Supporting a Wind Turbine Generator in a Microgrid
- Distance Relaying with Power Swing Detection based on Voltage and Reactive Power Sensitivity
- The Periodic Characteristics of Harmonic Measurement Errors with the Initial Sampling Time
- Implementing PAT with Standards
- Experimental Hydrogen Plant with Metal Hydrides to Store and Generate Electrical Power
Articles in the same Issue
- Frontmatter
- Research Articles
- Evaluation of Superimposed Sequence Components of Currents based Islanding Detection Scheme during DG Interconnections
- Dynamics of a Flywheel Energy Storage System Supporting a Wind Turbine Generator in a Microgrid
- Distance Relaying with Power Swing Detection based on Voltage and Reactive Power Sensitivity
- The Periodic Characteristics of Harmonic Measurement Errors with the Initial Sampling Time
- Implementing PAT with Standards
- Experimental Hydrogen Plant with Metal Hydrides to Store and Generate Electrical Power