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Volumn 32, Issue 8, 2010, Pages 886-892

Multi-objective optimal PMU placement using a non-dominated sorting differential evolution algorithm

Author keywords

Differential evolution; Multi objective optimization; N 1 reliability; Non dominated sorting; PMU placement

Indexed keywords

ELECTRIC POWER SYSTEM MEASUREMENT; MULTIOBJECTIVE OPTIMIZATION; OBSERVABILITY; OPTIMIZATION; PHASOR MEASUREMENT UNITS; RELIABILITY ANALYSIS; UNITS OF MEASUREMENT;

EID: 79952452130     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2010.01.024     Document Type: Article
Times cited : (140)

References (18)
  • 1
    • 0037291007 scopus 로고    scopus 로고
    • Voltage-stability protection and control using a widearea network of phasor measurement
    • Milosevic B, Begovic M. Voltage-stability protection and control using a widearea network of phasor measurement. IEEE Trans Power Syst 2003;18(1):121-7.
    • (2003) IEEE Trans Power Syst , vol.18 , Issue.1 , pp. 121-127
    • Milosevic, B.1    Begovic, M.2
  • 3
    • 42749094953 scopus 로고    scopus 로고
    • A novel hybrid state estimator for including synchronized phasor measurements
    • Bi TS, Qin XH, Yang QX. A novel hybrid state estimator for including synchronized phasor measurements. Electric Power Syst Res 2008;78(8):1343-52.
    • (2008) Electric Power Syst Res , vol.78 , Issue.8 , pp. 1343-1352
    • Bi, T.S.1    Qin, X.H.2    Yang, Q.X.3
  • 4
    • 0027589817 scopus 로고
    • Power system observability with minimal phasor measurement placement
    • Baldwin TL, Mill L, Boisen MB, et al. Power system observability with minimal phasor measurement placement. IEEE Trans Power Syst 1993;8(2):707-15.
    • (1993) IEEE Trans Power Syst , vol.8 , Issue.2 , pp. 707-715
    • Baldwin, T.L.1    Mill, L.2    Boisen, M.B.3
  • 5
    • 33645532449 scopus 로고    scopus 로고
    • Optimal PMU placement for full network observability using Tabu search algorithm
    • Peng Jiangnan, Sun Yuanzhang, Wang HF. Optimal PMU placement for full network observability using Tabu search algorithm. Int J Electric Power Energy Syst 2006;28(4):223-31.
    • (2006) Int J Electric Power Energy Syst , vol.28 , Issue.4 , pp. 223-231
    • Peng, J.1    Sun, Y.2    Wang, H.F.3
  • 7
    • 0037292302 scopus 로고    scopus 로고
    • Nondominated sorting genetic algorithm for optimal phasor measurement placement
    • Milosevic B, Begovic M. Nondominated sorting genetic algorithm for optimal phasor measurement placement. IEEE Trans Power Syst 2003;18(1):69-75.
    • (2003) IEEE Trans Power Syst , vol.18 , Issue.1 , pp. 69-75
    • Milosevic, B.1    Begovic, M.2
  • 9
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach
    • Zitzler E, Thiele L. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Trans Evolut Comput 1999;3(4):257-71.
    • (1999) IEEE Trans Evolut Comput , vol.3 , Issue.4 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2
  • 10
    • 0000852513 scopus 로고
    • Multi-objective function optimization using non-dominated sorting genetic algorithms
    • Srinivas N, Deb K. Multi-objective function optimization using non-dominated sorting genetic algorithms. Evolut Comput 1995;2(3):221-48.
    • (1995) Evolut Comput , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 11
    • 0942269397 scopus 로고    scopus 로고
    • Multi-objective optimization of an industrial grinding operation using elitist nondominated sorting genetic algorithm
    • Mitra K, Gopinath R. Multi-objective optimization of an industrial grinding operation using elitist nondominated sorting genetic algorithm. Chem Eng Sci 2004;59(2):385-96.
    • (2004) Chem Eng Sci , vol.59 , Issue.2 , pp. 385-396
    • Mitra, K.1    Gopinath, R.2
  • 12
    • 10044223175 scopus 로고    scopus 로고
    • Pareto-optimal solutions for multi-objective optimization of fed-batch bioreactors using nondominated sorting genetic algorithm
    • Sarkar D, Modak JM. Pareto-optimal solutions for multi-objective optimization of fed-batch bioreactors using nondominated sorting genetic algorithm. Chem Eng Sci 2005;60(2):481-92.
    • (2005) Chem Eng Sci , vol.60 , Issue.2 , pp. 481-492
    • Sarkar, D.1    Modak, J.M.2
  • 13
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multi-objective genetic algorithm: NSGA-II
    • Deb K, Pratap A, Agarwal S, et al. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans Evolut Comput 2002;6(2):182-97.
    • (2002) IEEE Trans Evolut Comput , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1    Pratap, A.2    Agarwal, S.3
  • 14
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution - A simple and efficient heuristic for global optimization over continuous space
    • Storn R, Price K. Differential evolution - a simple and efficient heuristic for global optimization over continuous space. Global Optim 1997;11(4):341-59.
    • (1997) Global Optim , vol.11 , Issue.4 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 15
    • 4344714817 scopus 로고    scopus 로고
    • A comparative study of differential evolution, particle swarm optimization,and evolutionary algorithms on numerical benchmark problems
    • Piscataway (NJ, USA): IEEE
    • Vesterstrom J, Thomsen R. A comparative study of differential evolution, particle swarm optimization,and evolutionary algorithms on numerical benchmark problems. In: Proceedings of the 2004 congress on evolutionary computation, vol. 2. Piscataway (NJ, USA): IEEE; 2004. p. 1980-7.
    • (2004) Proceedings of the 2004 Congress on Evolutionary Computation , vol.2 , pp. 1980-1987
    • Vesterstrom, J.1    Thomsen, R.2
  • 16
    • 85032752159 scopus 로고    scopus 로고
    • Designing nonstandard filters with differential evolution
    • Storn Rainer. Designing nonstandard filters with differential evolution. IEEE Signal Proc Mag 2005;22(1):103-6.
    • (2005) IEEE Signal Proc Mag , vol.22 , Issue.1 , pp. 103-106
    • Storn, R.1
  • 17
    • 27644574990 scopus 로고    scopus 로고
    • Differential evolution and particle swarm optimisation in partitional clustering
    • Paterlini Sandra, Krink Thiemo. Differential evolution and particle swarm optimisation in partitional clustering. Comput Stat Data Anal 2006;50(5): 1220-47.
    • (2006) Comput Stat Data Anal , vol.50 , Issue.5 , pp. 1220-1247
    • Paterlini, S.1    Krink, T.2
  • 18
    • 2442507741 scopus 로고    scopus 로고
    • A fuzzy definition of "optimality" for many-criteria optimization problems
    • Farina M, Amato P. A fuzzy definition of "optimality" for many-criteria optimization problems. IEEE Trans Syst,ManCybern, PartA 2004;34(3):315-26.
    • (2004) IEEE Trans Syst,ManCybern, PartA , vol.34 , Issue.3 , pp. 315-326
    • Farina, M.1    Amato, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.