Document Type : Research Articles
Authors
1 Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
2 Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Abstract
The present study introduces a new extensive-area ANFIS (Adaptive Neuro-Fuzzy Interface System)-based method to detect wide area instability and control the time of controlled islanding execution within power systems. The ANFIS parameters are optimized by the PSO method to increase the method’s accuracy at various disturbances and loading circumstances. In addition, to take various stability margins within the areas into account, a novel parallel ANFIS network (P-ANFIS) is implemented in which a distinct ANFIS is allocated for every nearby area. Extended off-line studies are performed to train ANFIS to respond in real-time accurately based on the selected wide area input signals. These parameters are monitored continuously through a wide area measurement system (WAMS) and the proposed P-ANFIS starts to assess the stability between related areas in real-time in the case of potentially unstable oscillations. Once an unstable oscillation is detected, the islanding command is transmitted to perform the controlled islanding scheme. The suggested technique is used in an IEEE 39 bus power system and its performance is demonstrated at different disturbances in terms of both speed and accuracy. It is found that the suggested ANFIS-based technique can determine islanding requirement and its time of execution properly at different disturbances.
Keywords
Main Subjects
International Conference on Machine Learning and
Cybernetics, pp. 92-97, Jul. 2013
“Blackout prevention in the United States, Europe, and
Russia”, Proceedings of the IEEE, Vol. 93, No. 11, pp,
1942 - 1955, Nov. 2005,
[3] K. Yamashita, S.K. Joo, J. Li, P. Zhang, C.C. Liu.
“Analysis, control, and economic impact assessment of
major blackout events”, European Transactions on
electrical Power, Vol. 18, No. 8, pp. 854-871, Nov. 2008
[4] M. Abasi, M. Joorabian, A. Saffarian, S.G. Seifossadat,
“A novel complete dynamic and static model of 48-pulse
VSC-based GUPFC for parallel transmission lines”,
International Journal of Industrial Electronics, Control
and Optimization, Vol. 3, No. 4, pp. 447-457, Mar. 2020
[5] M.M. Adibi, R.J Kafka, S. Maram, L.M. Mili, “On
power system controlled separation”. IEEE Transaction
on Power Systems, Vol. 21, No. 4, pp. 1894 – 1902, Nov.
2006
[6] L. Ding, F, Gonzalez, P. Wall, V. Terzija, “Two-step
spectral clustering-controlled islanding algorithm”, IEEE
Transaction on Power Systems, Vol. 28, No. 1, pp. 75 -
84 Feb. 2013
[7] N. Senroy, G.T. Heydt, "Timing of a controlled islanding
strategy." 2005/2006 IEEE/PES Transmission and
Distribution Conference and Exhibition, pp, 483-491,
May. 2016.
[8] N. Senroy, G.T. Heydt, V. Vittal, "Decision tree assisted
controlled islanding.", IEEE Transaction on Power
Systems, Vol. 21, No. 4, pp. 1790-1797, Nov. 2006.
[9] Gh. Isazadeh, A. Khodabakhshian, E. Gholipour, “A
new intelligent wide area controlled islanding detection
method in interconnected power systems”, International
Transaction on electrical energy systems, Vol. 27, No 7,
Jul. 2017
[10] J. Yan, C.C. Liu, U. Vaidya, “PMU-based monitoring of
rotor angle dynamics”, IEEE Transaction on Power
Systems, Vol 26, No. 4, pp. 2125 - 2133, Nov. 2011
[11] D.P. Wadduwage, C.Q. Wu, U.D. Annakkage.”Power
system transient stability analysis via the concept of
Lyapunov exponents”. Electric Power System Research,
Vol. 104, pp. 183-192, Nov. 2013.
[12] Gh. Isazadeh, A. Khodabakhshian, E. Gholipour. “A
New Intelligent Controlled Islanding Scheme in Large
Interconnected Power Systems”, IET generation
transmission Distribution, Vol. 9, No. 16, pp. 2686 –
2696, Dec. 2015.
[13] K. Sun, K. Hur, P. Zhang. “A new unified scheme for
controlled power system separation using synchronized
phasor measurements”, IEEE Transaction on Power
Systems, Vol. 26, No. 3, pp. 1544 – 1554, Aug. 2011
[14] M.R. Salimian, M.R Aghamohammadi, “A new index
based on proximity of inter-area oscillation to UEP point
for predicting proper time of controlled islanding”,
International Journal of Electrical Power & Energy Systems, Vol. 104, pp. 383-400, Jan. 2019,
[15] T. Amraee, H. Saberi, “Controlled islanding using
transmission switching and load shedding for enhancing
power grid resilience”, International Journal of
Electrical Power & Energy Systems, Vol. 91, pp.
135-143, Oct. 2017.
[16] M. Amini, H. Samet, A.R. Seifi, M. Al-Dhaifallah, Z.M.
Ali, “An Effective Multi-Solution Approach for Power
System Islanding”. IEEE Access, pp. 93200 – 93210,
May. 2020.
[17] F. TANG, J. YANG, Q. LIAO, et al. “Out-of-step
oscillation splitting criterion based on bus voltage
frequency.”, Journal of Modern Power Systems and
Clean Energy, Vol. 3, No. 3, pp. 341 - 352, Sep. 2015.
[18] S. Mohagheghi, G.K. Venayagamoorthy, R.G. Harley,”
Optimal neuro-fuzzy external controller for a
STATCOM in the 12-Bus benchmark power system”,
IEEE Trans. Power Delivery, Vol. 22, No. 4, pp.
2548-2558, Oct. 2007.
[19] R. Jang, T. Sun, and E. Mizutani, “Neuro-Fuzzy and Soft
Computing a Computational Approach to Learning and
Machine Intelligence.” IEEE Transactions on
Automatic Control, (1997). Vol. 42, No. 10 , pp. 1482 –
1484, Oct. 1997
[20] J.-S. R. Jang, “ANFIS: Adaptive Network-Based Fuzzy
Inference Systems”, IEEE Transactions on Systems.,
Man, Cybern, Vol. 23, No. 3, pp. 665 – 685, May. /Jun.
1993
[21] Y.del Valle, G.K Venayagamoorthy, S. Mohagheghi,
J.-C. Hernandez, R.G. Harley, “Particle Swarm
Optimization: Basic Concepts, Variants and Applications
in Power Systems”, IEEE Transaction on Evolutionary
Computation, Vol. 12, No. 2, Apr. 2008
[22] H. Yoshida, K. Kawata, Y. Fukuyama, S. Takayama, Y.
Nakanishi, A Particle Swarm Optimization for Reactive
Power and Voltage Control Considering Voltage
Security Assessment”, IEEE Transaction on Power
Sytems, Vol. 15, No. 4, pp. 1232 – 1239, Nov. 2000
[23] R. Gurusinghe, A. D. Rajapakse, “Post-Disturbance
Transient Stability Status Prediction Using
Synchrophasor Measurements”, IEEE Trans. on Power
Systems, Vol. 31, No. 5, pp. 3656-3664, Sep. 2016.
[24] M. Abasi, M. Razaz, G. Seifossadat, S. Moosapour
“Presenting a New Formulation to Analyze and
Determine Unbalance Voltage Produced at the Place of
Load Resulting from Network and Loads Unbalance and
Asymmetry of Transmission Lines in Radial Power
Systems’’, Majlesi Journal of Energy Management, Vol.
4, No. 3, pp.1-7, Sep. 2015.
[25] M. Abasi, S.G. Seifossadat, M. Razaz, S.S. Moosapour
“Determining the contribution of different effective
factors to individual voltage unbalance emission in n-bus
radial power systems, Journal International Journal of Electrical Power & Energy Systems", International
Journal of Electrical Power & Energy Systems, Vol. 94,
No.12, pp.393-404, Jan. 2018.
[26] Power Systems Test Case Archive,
https://www.ee.washington.edu/research/pstca/39 bus,
05/06/2020
)