An insight to the performance of estimation of distribution algorithm for multiple line outage identification

A.B.M., E.-K. M.A., A.-T.Y.A., Power system performance quality indices, European Transactions on Electrical Power, vol. 21, no. 5, 2011, pp. 1704–1710. Yang, 2012, Coordinated algorithms for distributed state estimation with synchronized phasor measurements, Appl. Energy, 96, 253, 10.1016/j.apenergy.2011.11.010 Rezaei Jegarluei, 2014, A new algorithm for fault location on transmission lines by optimal pmu placement, Int. Trans. Electr. Energy Syst. Ling, 2014, A distributed fault localization, isolation and supply restoration algorithm based on local topology, Int. Trans. Electr. Energy Syst. Azizi, 2014, Optimal multi-stage pmu placement in electric power systems using boolean algebra, Int. Trans. Electr. Energy Syst., 24, 562, 10.1002/etep.1713 Phadke, 1993, Synchronized phasor measurements in power systems, IEEE Comput. Appl. Power, 6, 10, 10.1109/67.207465 De La Ree, 2010, Synchronized phasor measurement applications in power systems, IEEE Trans. Smart Grid, 1, 20, 10.1109/TSG.2010.2044815 A. Abdelaziz, S. Mekhamer, M. Ezzat, E. El-Saadany, Line outage detection using support vector machine (svm) based on the phasor measurement units (pmus) technology, in Power and Energy Society General Meeting, 2012 IEEE, pp. 1–8, July 2012. Tate, 2008, Line outage detection using phasor angle measurements, IEEE Trans. Power Syst., 23, 1644, 10.1109/TPWRS.2008.2004826 Abirami, 2014, Source and transmission line maintenance outage scheduling in a power system using teaching learning based optimization algorithm, Appl. Soft Comput., 21, 72, 10.1016/j.asoc.2014.03.015 Wang, 2009, Unit commitment considering generator outages through a mixed-integer particle swarm optimization algorithm, Appl. Soft Comput., 9, 947, 10.1016/j.asoc.2008.11.010 Sharma, 2008, Prediction of transmission line overloading using intelligent technique, Appl. Soft Comput., 8, 626, 10.1016/j.asoc.2007.05.001 Banu, 2012, Multi-objective {GA} with fuzzy decision making for security enhancement in power system, Appl. Soft Comput., 12, 2756, 10.1016/j.asoc.2012.03.057 Ahmadi, 2011, Optimal {PMU} placement for power system observability using binary particle swarm optimization and considering measurement redundancy, Expert Syst. Appl., 38, 7263, 10.1016/j.eswa.2010.12.025 H. Zhu, Y. Shi, Phasor measurement unit placement for identifying power line outages in wide-area transmission system monitoring, in System Sciences (HICSS), 2014 Proceedings of the 47th Hawaii International Conference on, pp. 2483–2492, Jan 2014. Codetta-Raiteri, 2012, A dynamic bayesian network based framework to evaluate cascading effects in a power grid, Eng. Appl. Artif. Intell., 25, 683, 10.1016/j.engappai.2010.06.005 Mohammadi, 2009, On-line voltage security assessment of power systems using core vector machines, Eng. Appl. Artif. Intell., 22, 695, 10.1016/j.engappai.2009.02.001 Srinivasan, 2000, Automated fault detection in power distribution networks using a hybrid fuzzy-genetic algorithm approach, Eng. Appl. Artif. Intell., 13, 407, 10.1016/S0952-1976(00)00012-9 Mousavian, 2015, An investment decision model for the optimal placement of phasor measurement units, Expert Syst. Appl., 42, 7276, 10.1016/j.eswa.2015.05.041 Venkatesh, 2015, Intelligent-search technique based strategic placement of synchronized measurements for power system observability, Expert Syst. Appl., 42, 4768, 10.1016/j.eswa.2015.01.067 Enshaee, 2012, A new method for optimal placement of phasor measurement units to maintain full network observability under various contingencies, Electr. Power Syst. Res., 89, 1, 10.1016/j.epsr.2012.01.020 Fesharaki, 2013, A new method for simultaneous optimal placement of {PMUs} and {PDCs} for maximizing data transmission reliability along with providing the power system observability, Electr. Power Syst. Res., 100, 43, 10.1016/j.epsr.2013.02.009 Y. Zhao, A. Goldsmith, H. Poor, On pmu location selection for line outage detection in wide-area transmission networks, in Power and Energy Society General Meeting, 2012 IEEE, pp. 1–8, July 2012. Wang, 2014, Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm, Expert Syst. Appl., 41, 2496, 10.1016/j.eswa.2013.09.049 Wang, 2012, A hybrid estimation of distribution algorithm for solving the resource-constrained project scheduling problem, Expert Syst. Appl., 39, 2451, 10.1016/j.eswa.2011.08.095 Lin, 2012, Expert system based parallel multi-1d block matching algorithm with implementation for motion estimation, Expert Syst. Appl., 39, 3249, 10.1016/j.eswa.2011.09.012 Hsieh, 2011, Motion estimation using two-stage predictive search algorithms based on joint spatio-temporal correlation information, Expert Syst. Appl., 38, 11608, 10.1016/j.eswa.2011.03.039 R. Emami, A. Abur, Tracking changes in the external network model, in North American Power Symposium (NAPS), 2010, pp. 1–6, Sept 2010. Jizhong, 1992, A new economic power dispatch method with security, Electr. Power Syst. Res., 25, 9, 10.1016/0378-7796(92)90066-A T. Banerjee, Y.C. Chen, A.D. Domínguez-García, V.V. Veeravalli, Power system line outage detection and identification - A quickest change detection approach, in IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014, pp. 3450–3454, 2014. Prasad, 1994, A heuristic linearized line outage contingency ranking of integrated multiterminal ac-dc power systems, Electr. Power Syst. Res., 31, 1, 10.1016/0378-7796(94)90023-X Bijwe, 1991, Ranking of line outages in an ac–dc system causing overload and voltage problems, Gener., Transm. Distrib., Proc. IEE C, 138, 207, 10.1049/ip-c.1991.0024 Ren, 2008, Using transmission line outage data to estimate cascading failure propagation in an electric power system, IEEE Trans. Circuits Syst. II: Express Briefs, 55, 927, 10.1109/TCSII.2008.924365 F. Galvan, S. Mandal, M. Thomas, Phasor measurement units (pmu) instrumental in detecting and managing the electrical island created in the aftermath of hurricane gustav, in Power Systems Conference and Exposition, 2009. PSCE ’09. IEEE/PES, pp. 1–4, March 2009. H. Sehwail, I. Dobson, Locating line outages in a specific area of a power system with synchrophasors, in North American Power Symposium (NAPS), 2012, pp. 1–6, Sept 2012. I. Dobson, B. Carreras, Number and propagation of line outages in cascading events in electric power transmission systems, in Communication, Control, and Computing (Allerton), 2010 Proceedings of the 48th Annual Allerton Conference on, pp. 1645–1650, Sept 2010. Zhu, 2012, Sparse overcomplete representations for efficient identification of power line outages, IEEE Trans. Power Syst., 27, 2215, 10.1109/TPWRS.2012.2192142 Chen, 2014, Efficient identification method for power line outages in the smart power grid, IEEE Trans. Power Syst., 29, 1788, 10.1109/TPWRS.2013.2296897 Li, 2008, Fuzzy models of overhead power line weather-related outages, IEEE Trans. Power Syst., 23, 1529, 10.1109/TPWRS.2008.926081 Lee, 1992, Distribution factors of reactive power flow in transmission line and transformer outage studies, IEEE Trans. Power Syst., 7, 194, 10.1109/59.141703 Emami, 2013, External system line outage identification using phasor measurement units, IEEE Trans. Power Syst., 28, 1035, 10.1109/TPWRS.2012.2220865 H. Zhu, G. Giannakis, Lassoing line outages in the smart power grid, in Smart Grid Communications (SmartGridComm), 2011 IEEE International Conference on, pp. 570–575, Oct 2011. Lotfifard, 2011, Voltage sag data utilization for distribution fault location, IEEE Trans. Power Deliv., 26, 1239, 10.1109/TPWRD.2010.2098891 J. Tate, T. Overbye, Double line outage detection using phasor angle measurements, in Power Energy Society General Meeting, 2009. PES ’09. IEEE, pp. 1–5, July 2009. V. Donde, V. Lopez, B. Lesieutre, A. Pinar, C. Yang, J. Meza, Identification of severe multiple contingencies in electric power networks, in Power Symposium, 2005. Proceedings of the 37th Annual North American, pp. 59–66, Oct 2005. Hao, 2013, Smart grid health monitoring via dynamic compressive sensing, Innov. Smart Grid Technol. Eur. (ISGT Eur.) 2013 4th IEEE/PES, 1 El-Arini, 1995, A fast technique for outage studies in power system planning and operation, Elsevier Electr. Power Syst. Res., 32, 203, 10.1016/0378-7796(94)00916-R Ren, 2008, Long-term effect of the n-1 criterion on cascading line outages in an evolving power transmission grid, IEEE Trans. Power Syst., 23, 1217, 10.1109/TPWRS.2008.926417 Jadid, 1997, An expert system to improve power system contingency analysis, Electr. Power Syst. Res., 40, 37, 10.1016/S0378-7796(96)01130-3 Guo, 2009, Direct calculation of line outage distribution factors, IEEE Trans. Power Syst., 24, 1633, 10.1109/TPWRS.2009.2023273 Kim, 2010, Propagation of load shed in cascading line outages simulated by opa, Complex. Eng., 2010 COMPENG ’10, 1 A. Rai, D. Babu, P. Venkataramu, M. Nagaraja, Artificial neural network application for prediction of reactive power compensation under line outage contingency, in Power, Energy and Control (ICPEC), 2013 International Conference on, pp. 355–359, Feb 2013. Santhi, 2011, Article: adaptive binary pso based unit commitment, Int. J. Comput. Appl., 15, 1 Mirjalili, 2013, S-shaped versus v-shaped transfer functions for binary particle swarm optimization, Swarm Evolut. Comput., 9, 1, 10.1016/j.swevo.2012.09.002 Chaturvedi, 2008, Self-organizing hierarchical particle swarm optimization for nonconvex economic dispatch, IEEE Trans. Power Syst., 23, 1079, 10.1109/TPWRS.2008.926455 Ratnaweera, 2004, Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients, IEEE Trans. Evolut. Comput., 8, 240, 10.1109/TEVC.2004.826071