Voltage Flicker Parameters Estimation Using Shuffled Frog Leaping Algorithm and Imperialistic Competitive Algorithm

Authors

Abstract

Measurement of magnitude and frequency of the voltage flicker is very important for monitoring and
controlling voltage flicker efficiently to improve the network power quality. This paper presents two
new methods for measurement of flicker signal parameters using Shuffled Frog Leaping Algorithm
(SFLA) and Imperialist Competitive Algorithm (ICA). This paper estimates fundamental voltage and
flicker magnitudes and frequencies with proposed methods. The goal is to minimize the error of the
estimated magnitudes and frequencies via a designed fitness function. At first, we introduce voltage
flicker and its measuring techniques. Then voltage flicker model is analyzed. At the next part, a review
of SFLA and ICA is presented. These methods will be applied to a test voltage signal and the results
are be analyzed.

Keywords


[1] K.Srinivasan, “Digital measurement of voltage
flicker” IEEE Transactions on Power Delivery,
Vol. 6, No.4, pp. 1593-1598, Oct. 1991.
[2] M.T.Chen, “Digital Algorithms for
Measurement of Voltage Flicker”, IEE

Proceedings: Generation, Transmission and
Distribution, Vol. 144, No. 2, pp.175-180,
March.1997.
[3] C.S.Chen, H.J.Chuang, C.T.Hsu and S.M.
Tseng, “Stochastic Voltage Flicker Analysis
and its Mitigation for Steel Industrial Power
Systems”, IEEE Porto Power Tech.
Conference, Vol. 1, Porto, Portugal, Sept.
2001.
[4] P.K. Dash, A.K. Pradhan, G. Panda,
“Frequency estimation of distorted power
system signals using extended complex
Kalman filter”, IEEE Transactions on Power
Delivery, vol. 14, No. 3, pp. 761-766, July.
1999.
[5] S.A. Solaiman, M.E. El-Hawary,
“Measurement of voltage flicker magnitude
and frequency in a power system for power
quality analysis”, Electrical Power
Components and Systems, Vol. 27, No. 12, pp.
1289-1297, November. 1999.
[6] S.A. Soliman, G.S. Christensen, D.H. Kelly,
K.M. EL-Naggar, “Least absolute value based
on linear programming algorithm for
measurement of power system frequency from
a distorted bus voltage signal”, Electrical
Power Components and Systems, Vol. 20, No.
6, pp.549-568, November. 1992.
[7] C. Ming-Tang, A.P. SakisMeliopoulos,
“Wavelet-based algorithm for voltage flicker
analysis”, IEEE Ninth International
Conference on Harmonics and Quality of
Power, Vol. 2, pp. 732-738, Oct. 2000.
[8] H. Shyh-Jier, L. Chen-Wen, “Enhancement of
digital equivalent voltage flicker measurement
via continuous wavelet transform”, IEEE
Transactions on Power Delivery, vol. 19, No.
2, pp. 663-670, April. 2004.
[9] M. M. Eusuff, K. Lansey, F. Pasha,“Shuffled
frog-leaping algorithm: a memetic metaheuristic
for discrete optimization,”
,Engineering Optimization, vol. 38, no. 2,
pp.129–154, March. 2006.
[10] E. Atashpaz-Gargari, C. Lucas, “Imperialist
competitive algorithm: An algorithm for
optimization inspired by imperialistic
competition”, IEEE Congress on Evolutionary
Computation, pp. 4661-4667, CEC, Sep 2007.
[11] Wael M. AL-Hasawi, Khaled M. EL-Naggar
“A Genetic Based Algorithm for Voltage

Energy Systems Journal, Vol.26, 2004,
pp.593-596.
[12] A.K. Al-Othman, K. M. El-Nagger, “Voltage
flicker measurement using particle swarm
optimization technique for power quality
assessment”, IEEE Electro-technical
Conference, MELECON 2006pp. 1077-1082,
May 2006.