State of the arts of the modern heuristics application to power systems

In this paper, the application techniques of such modern heuristics methods as genetic algorithm, simulated annealing, tabu search, etc. to power systems operation and planning which are published in IEEE PES Transactions between 1990 and 1999 are systematically surveyed, and the state of the art of these techniques are outlined.

[1]  S. M. Shahidehpour,et al.  Hydro-thermal, scheduling by tabu search and decomposition method , 1996 .

[2]  Anil Pahwa,et al.  Optimal selection of capacitors for radial distribution systems using a genetic algorithm , 1994 .

[3]  Ruben Romero,et al.  Comparative studies on nonconvex optimization methods for transmission network expansion planning , 1997 .

[4]  K. P. Wong,et al.  Hybrid genetic/simulated annealing approach to short-term multiple-fuel-constrained generation scheduling , 1997 .

[5]  G. Sheblé,et al.  Genetic algorithm solution of economic dispatch with valve point loading , 1993 .

[6]  G. Sheblé,et al.  Genetic algorithm evolution of utility bidding strategies for the competitive marketplace , 1998 .

[7]  Gerald B. Sheblé,et al.  Genetic-based unit commitment algorithm , 1996 .

[8]  Yasuhiro Hayashi,et al.  An algorithm for thermal unit maintenance scheduling through combined use of GA, SA and TS , 1997 .

[9]  Jae-Chul Kim,et al.  An efficient algorithm for network reconfiguration in large scale distribution systems , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[10]  Yann-Chang Huang,et al.  Solving the capacitor placement problem in a radial distribution system using Tabu Search approach , 1996 .

[11]  Dan Jiang,et al.  Optimal electric distribution system switch reconfiguration and capacitor control , 1996 .

[12]  Roy Billinton,et al.  Optimal switching device placement in radial distribution systems , 1996 .

[13]  Malcolm Irving,et al.  A genetic algorithm modelling framework and solution technique for short term optimal hydrothermal scheduling , 1998 .

[14]  H. Chiang,et al.  Optimal network reconfigurations in distribution systems. I. A new formulation and a solution methodology , 1990 .

[15]  Anastasios G. Bakirtzis,et al.  A genetic algorithm solution to the unit commitment problem , 1996 .

[16]  Francisco D. Galiana,et al.  Unit commitment by simulated annealing , 1990 .

[17]  Dipti Srinivasan,et al.  An evolutionary algorithm for evaluation of emission compliance options in view of the Clean Air Act Amendments , 1997 .

[18]  Jin-Cheng Wang,et al.  Strategic planning of LC compensators in nonsinusoidal distribution systems , 1994 .

[19]  Hong-Chan Chang,et al.  Genetic aided scheduling of hydraulically coupled plants in hydro-thermal coordination , 1996 .

[20]  Jianzhong Tong,et al.  Optimal capacitor placement, replacement and control in large-scale unbalanced distribution systems: system solution algorithms and numerical studies , 1995 .

[21]  Kwang Y. Lee,et al.  Optimization method for reactive power planning by using a modified simple genetic algorithm , 1995 .

[22]  K. Nara,et al.  Configuration of new power delivery system for reliable power supply , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[23]  Hong-Tzer Yang,et al.  A new short-term load forecasting approach using self-organizing fuzzy ARMAX models , 1998 .

[24]  Chun-Chang Liu,et al.  A new approach for optimal VAr sources planning in large scale electric power systems , 1993 .

[25]  Hugh Rudnick,et al.  Economically adapted transmission systems in open access schemes-application of genetic algorithms , 1996 .

[26]  Roy Billinton,et al.  Minimum Cost Analysis of Feeder Routing in Distribution System Planning , 1996, IEEE Power Engineering Review.

[27]  Jong-Bae Park,et al.  Least cost generation expansion planning based on an improved genetic algorithm , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[28]  Kyu-Ho Kim,et al.  Voltage profile improvement by capacitor placement and control in unbalanced distribution systems using GA , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[29]  H. Mori,et al.  Optimal fuzzy inference for short-term load forecasting , 1995 .

[30]  M. Kitagawa,et al.  Implementation of genetic algorithm for distribution systems loss minimum re-configuration , 1992 .

[31]  Jinyu Wen,et al.  A synchronous generator fuzzy excitation controller optimally designed with a genetic algorithm , 1997 .

[32]  Hong-Tzer Yang,et al.  A new thermal unit commitment approach using constraint logic programming , 1997 .

[33]  J.N. Taranto,et al.  Automated design of multiple damping controllers using genetic algorithms , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[34]  Vladimiro Miranda,et al.  Genetic algorithms in optimal multistage distribution network planning , 1994 .

[35]  Y. W. Wong,et al.  Hybrid genetic/simulated annealing approach to short-term multiple-fuel-constrained generation scheduling , 1997, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[36]  A. H. Mantawy,et al.  A simulated annealing algorithm for unit commitment , 1998 .

[37]  Jianzhong Tong,et al.  Optimal capacitor placement, replacement and control in large-scale unbalanced distribution systems: modeling and a new formulation , 1995 .

[38]  S. S. Venkata,et al.  Improved distribution system planning using computational evolution , 1995 .

[39]  Ying-Tung Hsiao,et al.  A computer package for optimal multi-objective VAr planning in large scale power systems , 1993 .

[40]  E. Handschin,et al.  Establishing a rule base for a hybrid ES/XPS approach to load management , 1998 .

[41]  Hiroyuki Mori,et al.  Parallel simulated annealing for power system decomposition , 1993 .

[42]  Yuan-Lin Chen,et al.  Weak bus-oriented optimal multi-objective VAr planning , 1996 .

[43]  Ruben Romero,et al.  Parallel simulated annealing applied to long term transmission network expansion planning , 1997 .

[44]  Ye Zhongming,et al.  Traction system scheduling to minimize harmonic current level at substation by genetic algorithm , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[45]  Hiroyuki Mori,et al.  A preconditioned fast decoupled power flow method for contingency screening , 1995 .

[46]  Hong-Chan Chang,et al.  Large-scale economic dispatch by genetic algorithm , 1995 .

[47]  Loi Lei Lai,et al.  Application of evolutionary programming to reactive power planning-comparison with nonlinear programming approach , 1997 .

[48]  I.J. Ramirez-Rosado,et al.  A new model for optimal electricity distribution planning based on fuzzy set techniques , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[49]  Chun-Chang Liu,et al.  Multi-objective VAR Planning Using An Interactive Satisfying Method , 1995 .

[50]  Yoshikazu Fukuyama,et al.  Parallel genetic algorithm for generation expansion planning , 1996 .

[51]  Hong-Tzer Yang,et al.  Identification of ARMAX model for short term load forecasting: an evolutionary programming approach , 1995 .

[52]  E. Handschin,et al.  ule Base for a Hybrid ESKPS Approach to Load Management , 1997 .

[53]  G. Sheblé,et al.  Refined genetic algorithm-economic dispatch example , 1995 .

[54]  Hong-Tzer Yang,et al.  Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions , 1996 .

[55]  Ignacio J. Ramirez-Rosado,et al.  Genetic algorithms applied to the design of large power distribution systems , 1998 .

[56]  T. Baldwin,et al.  Power system observability with minimal phasor measurement placement , 1993 .

[57]  Kenji Iba.  Reactive power optimization by genetic algorithm , 1993 .

[58]  Kit Po Wong,et al.  Combined genetic algorithm/simulated annealing/fuzzy set approach to short-term generation scheduling with take-or-pay fuel contract , 1996 .

[59]  J. R. Shin,et al.  An efficient simulated annealing algorithm for network reconfiguration in large-scale distribution systems , 2002 .

[60]  Koichi Nara,et al.  Maintenance scheduling by using simulated annealing method (for power plants) , 1991 .

[61]  A. Yokoyama,et al.  Optimal location of phase shifters in the French network by genetic algorithm , 1999 .

[62]  Vladimiro Miranda,et al.  Probabilistic choice vs. risk analysis-conflicts and synthesis in power system planning , 1997 .

[63]  Kwang Y. Lee,et al.  Optimal reactive power planning using evolutionary algorithms: a comparative study for evolutionary programming, evolutionary strategy, genetic algorithm, and linear programming , 1998 .

[64]  A. Monticelli,et al.  Transmission system expansion planning by simulated annealing , 1995, Proceedings of Power Industry Computer Applications Conference.

[65]  Toshiyuki Furukawa,et al.  Automatic scheduling method using tabu search for maintenance outage tasks of transmission and substation system with network constraints , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[66]  Shokri Z. Selim,et al.  Integrating genetic algorithms, tabu search, and simulated annealing for the unit commitment problem , 1999 .