Multiobjective optimal power flow using strength Pareto evolutionary algorithm
暂无分享,去创建一个
[1] M. Abido. Environmental/economic power dispatch using multiobjective evolutionary algorithms , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).
[2] A. A. Abido,et al. A new multiobjective evolutionary algorithm for environmental/economic power dispatch , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).
[3] M. A. Abido,et al. A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch , 2003 .
[4] M. A. Abido,et al. Optimal power flow using particle swarm optimization , 2002 .
[5] Kit Po Wong,et al. Evolutionary programming based optimal power flow algorithm , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).
[6] V. Quintana,et al. Improving an interior-point-based OPF by dynamic adjustments of step sizes and tolerances , 1999 .
[7] R. Adapa,et al. A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches , 1999 .
[8] R. Yokoyama,et al. Improved genetic algorithms for optimal power flow under both normal and contingent operation states , 1997 .
[9] Peter J. Fleming,et al. An Overview of Evolutionary Algorithms in Multiobjective Optimization , 1995, Evolutionary Computation.
[10] K. Lee,et al. A United Approach to Optimal Real and Reactive Power Dispatch , 1985, IEEE Transactions on Power Apparatus and Systems.
[11] H. Happ,et al. Quadratically Convergent Optimal Power Flow , 1984, IEEE Transactions on Power Apparatus and Systems.
[12] W. Tinney,et al. Optimal Power Flow By Newton Approach , 1984, IEEE Transactions on Power Apparatus and Systems.
[13] O. Alsac,et al. Optimal Load Flow with Steady-State Security , 1974 .
[14] Lothar Thiele,et al. An evolutionary algorithm for multiobjective optimization: the strength Pareto approach , 1998 .
[15] H. L. Happ,et al. OPTIMAL POWER DISPATCH -A COMPREHENSIVE SURVEY , 1977 .