2/2014 - 20 |
A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC AlgorithmKULANTHAISAMY, A., VAIRAMANI, R. , KARUNAMURTHI, N. K., KOODALSAMY, C. |
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Author keywords
artificial bee colony algorithm, complete observability, measurement redundancy, optimal placement, phasor measurement unit
References keywords
power(29), placement(18), systems(16), optimal(16), algorithm(14), observability(11), artificial(11), system(9), measurement(9), colony(9)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 117 - 128
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02020
Web of Science Accession Number: 000340868100020
SCOPUS ID: 84901852623
Abstract
This paper presents a Multi- objective Optimal Placement of Phasor Measurement Units (MOPP) method in large electric transmission systems. It is proposed for minimizing the number of Phasor Measurement Units (PMUs) for complete system observability and maximizing the measurement redundancy of the system, simultaneously. The measurement redundancy means that number of times a bus is able to monitor more than once by PMUs set. A higher level of measurement redundancy can maximize the total system observability and it is desirable for a reliable power system state estimation. Therefore, simultaneous optimization of the two conflicting objectives are performed using a binary coded Artificial Bee Colony (ABC) algorithm. The complete observability of the power system is first prepared and then, single line loss contingency condition is considered to the main model. The efficiency of the proposed method is validated on IEEE 14, 30, 57 and 118 bus test systems. The valuable approach of ABC algorithm is demonstrated in finding the optimal number of PMUs and their locations by comparing the performance with earlier works. |
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[1] W. Zengping, Z. Jinfang, and Z. Yagang, "Bayes-based fault discrimination in wide area backup protection", Advances in Electrical and Computer Engineering, vol.12, pp. 91-96, Feb. 2012. [CrossRef] [Full Text] [Web of Science Times Cited 5] [SCOPUS Times Cited 6] [2] S.Y. Raj, "Evolutionary programming based optimal power flow and its validation for deregulated power system analysis", International Journal of Electrical Power and Energy Systems, vol.29, pp. 65-75, Jan. 2007. [CrossRef] [Web of Science Times Cited 85] [SCOPUS Times Cited 124] [3] P. Acharjee, "Identification of maximum loadability limit and weak buses using security constraint genetic algorithm", International Journal of Electrical Power and Energy Systems, vol.36, pp. 40-50, Mar. 2012. [CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 40] [4] S. Chakrabarti, E. Kyriakides and D. G. Eliades, "Placement of synchronized measurements for power system observability", IEEE Trans. Power Delivery, vol.24, pp. 12-19, Jan. 2009. [CrossRef] [Web of Science Times Cited 233] [SCOPUS Times Cited 288] [5] Z. Yagang, W. Zengping and Z. Jinfang, "A novel fault identification using WAMS/PMU", Advances in Electrical and Computer Engineering, vol.12, pp. 21-26, May 2012. [CrossRef] [Full Text] [Web of Science Times Cited 10] [SCOPUS Times Cited 11] [6] N. M. Manousakis, G. N. Korres, and P. S. Georgilakis, "Taxonomy of PMU placement methodologies", IEEE Trans. Power Systems, vol.27, pp. 1070-1077, Apr. 2012. [CrossRef] [Web of Science Times Cited 256] [SCOPUS Times Cited 321] [7] B. Gou, "Generalized integer linear programming formulation for optimal PMU Placement", IEEE Trans. Power Systems, vol. 23, pp. 1099-1104, Jul. 2008. [CrossRef] [Web of Science Times Cited 330] [SCOPUS Times Cited 455] [8] B. Xu, Y. J. Yoon, and A. Abur, Optimal Placement and Utilization of Phasor Measurements for State Estimation. Ithaca, New York, USA: Ph.D, Cornell University, pp. 22-23, 2005. [Online] Available: Temporary on-line reference link removed - see the PDF document [9] S. Chakrabarti and E. Kyriakides, "Optimal placement of phasor measurement units for power system observability", IEEE Trans. Power Systems, vol.23, pp. 1433-1440, Jul. 2008. [CrossRef] [Web of Science Times Cited 356] [SCOPUS Times Cited 472] [10] F. J. Marin, F. Garcia-Lagos, G. Joya, and F. Sandoval, "Genetic algorithms for optimal placement of phasor measurement units in electric networks", Electronic Letters, vol.39, pp.1403-1405, Nov. 2003. [CrossRef] [Web of Science Times Cited 98] [SCOPUS Times Cited 154] [11] F. Aminifar, C. Lucas, A. Khodaei, and M. Fotuhi-Firuzabad, "Optimal placement of phasor measurement units using immunity genetic algorithm", IEEE Trans. Power Delivery, vol.24, pp. 1014-1020, Jul. 2009. [CrossRef] [Web of Science Times Cited 223] [SCOPUS Times Cited 287] [12] M. Hajian, A.M. Ranjbar, T. Amraee and B. Mozafari, "Optimal placement of PMUs to maintain network observability using a modified BPSO algorithm", International Journal of Electrical Power and Energy Systems, vol.33, pp. 28-34, Jan. 2011. [CrossRef] [Web of Science Times Cited 144] [SCOPUS Times Cited 188] [13] A. El-zonkoly, S. El-safty and R. Maher, "Optimal placement of PMUs using improved tabu search for complete observability and out-of-step prediction", Turkish Journal of Electrical Engineering & Computer Sciences, vol.21, pp. 1376-1393, Apr. 2013. [CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 13] [14] R. E. Sehiemy, A. A. El-Ela, and A. Shaheen, "Multi-objective fuzzy-based procedure for enhancing reactive power management", IET Generation, Transmission & Distribution, vol.7, no. 2, pp. 1453-1460, Dec. 2013. [CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 38] [15] R. E. Precup, R. C. David, E. M. Petriu, M. B. Radac, S. Preitl, and J. Fodor, "Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems, Knowledge-Based Systems", vol. 38, pp. 74-84, Jan. 2013. [CrossRef] [Web of Science Times Cited 70] [SCOPUS Times Cited 78] [16] M. Z. Ali, K. Alkhatib, and Y. Tashtoush, "Cultural algorithms: Emerging social structures for the solution of complex optimization problems", International Journal of Artificial Intelligence, vol. 11, no. A13, pp. 20-42, Oct. 2013. [17] S. K. Saha, S. P. Ghoshal, R. Kar, and D. Mandal, "Cat swarm optimization algorithm for optimal linear phase FIR filter design", ISA Transactions, vol. 52, no. 6, pp. 781-794, Jul. 2013. [CrossRef] [Web of Science Times Cited 125] [SCOPUS Times Cited 165] [18] K. Konstantinos, A. Fabio, G. Antoni, R. Luis, "A PSO-DP based method to determination of the optimal number, location, and size of FACTS devices in power systems", Advances in Electrical and Computer Engineering, vol.14, no.1, pp. 109-114, Apr. 2014. [CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 8] [19] S. Shahrokh, N. S. Ehsan, D. Milad, K. Hadi, "A combined methodology of adaptive neuro- fuzzy inference system and genetic algorithm for short-term energy forecasting", Advances in Electrical and Computer Engineering, vol.14, no.1, pp. 9-14, Apr. 2014. [CrossRef] [Full Text] [Web of Science Times Cited 16] [SCOPUS Times Cited 22] [20] B. Akay and D. Karaboga, "Artificial bee colony algorithm for large-scale problems and engineering design optimization", Journal of Intelligence Manufacturing, vol.23, pp. 1001-1014, Apr. 2012. [CrossRef] [Web of Science Times Cited 369] [SCOPUS Times Cited 464] [21] D. Karaboga and B. Akay, "A modified artificial bee colony (ABC) algorithm for constrained optimization problems", Applied Soft Computing, vol.11, pp. 3021-3031, Sep. 2011. [CrossRef] [Web of Science Times Cited 425] [SCOPUS Times Cited 537] [22] D. Karaboga, An Idea Based on Honey Bee Swarm for Numerical Optimization. Kayseri, Turkey: Technical Report, Erciyes University, pp. 3-5, 2005. [Online] Available: Temporary on-line reference link removed - see the PDF document [23] F. S. Abu-Mouti and M. E. El-Hawary, "Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm", IEEE Trans. Power Delivery, vol. 26, pp. 2090-2101, Oct. 2011. [CrossRef] [Web of Science Times Cited 480] [SCOPUS Times Cited 657] [24] D. Karaboga and B. Basturk, "On the performance of artificial bee colony (ABC) algorithm", Applied Soft Computing, vol.8, pp. 687-697, Jan. 2008. [CrossRef] [Web of Science Times Cited 2559] [SCOPUS Times Cited 3342] [25] D. Karaboga, B. Gorkemli, C. Ozturk and N. Karaboga, "A comprehensive survey: artificial bee colony (ABC) algorithm and applications", Artificial Intelligence Review, pp. 1-37, Mar. 2012. [CrossRef] [Web of Science Times Cited 1199] [SCOPUS Times Cited 1488] [26] D. Karaboga and B. Akay, "A comparative study of artificial bee colony algorithm", Applied Mathematics and Computation, vol. 214, pp. 108-132, Aug. 2009. [CrossRef] [Web of Science Times Cited 2346] [SCOPUS Times Cited 3016] [27] K. Chandrasekaran and S. P. Simon, "Fuzzified artificial bee colony algorithm for non smooth and non convex multi objective economic dispatch problem", Turkish Journal of Electrical Engineering & Computer Sciences, vol. 21, pp. 1995-2014, Oct. 2013. [CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 14] [28] K. Chandrasekaran, S. Hemamalini, S. P. Simon and N. P. Padhy, "Thermal unit commitment using binary/ real coded artificial bee colony algorithm", Electric Power Systems Research, vol. 84, pp. 109-119, May 2012. [CrossRef] [29] K. Chandrasekaran and S.P. Simon, "Multi-objective unit commitment problem with reliability function using fuzzified binary real coded artificial bee colony algorithm", IET Generation, Trans. & Distribution, vol.6, pp. 1060-1073, Oct. 2012. [CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 36] [30] D. Dua, S. Dambhare, R. K. Gajbhiye and S.A. Soman, "Optimal multistage scheduling of PMU placement: An ILP approach", IEEE Trans. Power Delivery, vol. 23, pp. 1812-1820, Oct. 2006. [CrossRef] [Web of Science Times Cited 291] [SCOPUS Times Cited 373] [31] S. M. Mazhari, H. Monsef, H. Lesani and A. Fereidunian, "A multi-objective PMU placement method considering measurement redundancy and observability value under contingencies", IEEE Trans. Power Systems, vol.28, pp. 2136-2146, Jul. 2013. [CrossRef] [Web of Science Times Cited 88] [SCOPUS Times Cited 104] [32] F. Aminifar, A. Khodaei, M. Fotuhi-Firuzabad and M. Shahidehpour, "Contingency constrained PMU placement in power networks", IEEE Trans. Power Systems, vol.25, pp. 516-523, Feb. 2010. [CrossRef] [Web of Science Times Cited 300] [SCOPUS Times Cited 370] [33] A. Enshaee, R. A. Hooshmand and F. H. Fesharaki, "A new method for optimal placement of phasor measurement units to maintain full network observability under various contingencies", Electric Power Systems Research, vol.89, pp. 1-10, Jan. 2012. [CrossRef] [Web of Science Times Cited 101] [SCOPUS Times Cited 121] [34] A. Mahari and H. Seyedi, "Optimal PMU placement for power system observability using BICA, considering measurement redundancy", Electric Power System Research, vol.103, pp. 78-85, Oct. 2013. [CrossRef] [Web of Science Times Cited 71] [SCOPUS Times Cited 84] [35] N. C. Koutsoukis, N. M. Manousakis, P. S. Georgilakis and G. N. Korres, "Numerical observability method for optimal phasor measurement units placement using recursive tabu search method", IET Generation, Trans. & Distribution, vol.7, pp. 1-10, Jul. 2013. [CrossRef] [Web of Science Times Cited 118] [SCOPUS Times Cited 156] [36] T. L. Baldwin, L. Mili, M. B. Boisen, and R. Adapa, "Power system observability with minimal phasor measurement placement", IEEE Trans. Power Syst., vol.8, pp. 707-715, May 1993. [CrossRef] [37] R. Kavasseri, and S. K. Srinivasan, "Joint placement of phasor and power flow measurements for observability of power systems", IEEE Trans. Power Systems, vol.26, pp. 1929-1936, Nov. 2011. [CrossRef] [Web of Science Times Cited 69] [SCOPUS Times Cited 86] [38] A. Ahmadi, Y. Alinejad-Beromi and M. Moradi, "Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy", Expert System Applications, vol.38, pp. 7263-7269, May 2011. 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