Economic Load Dispatch Problem via Simulated Annealing Method

In the presented research work an economic load dispatch problem based on various thermal units is processed by a derivative free method based on an analogy of metals annealing. The method is heuristic in nature and has minimum probability to get stuck in the local minima with better accuracy than that of classical schemes used solve economic dispatch problem. The test data has been incorporated from IEEE bus system of thermal generators and being observed the minimum cost ($) for power generation by maximizing the power utilization and minimizing the power losses. The simulations of the various scenarios are performed for different number of thermal units and constraints applicable in economic load dispatch. The author will evaluate the effects of the applied scheme in term of applicability, accuracy, cost and the computational complexity.

[1]  Ting-Fang Yu,et al.  Application of an improved Particle Swarm Optimization to economic load dispatch in power plant , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).

[2]  Malabika Basu,et al.  A simulated annealing-based goal-attainment method for economic emission load dispatch of fixed head hydrothermal power systems , 2005 .

[3]  Kazem Zare,et al.  Multiobjective power and emission dispatch using modified group search optimization method , 2016, Ain Shams Engineering Journal.

[4]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[5]  Vahid Hajipour,et al.  A knowledge-based archive multi-objective simulated annealing algorithm to optimize series-parallel system with choice of redundancy strategies , 2015, Comput. Ind. Eng..

[6]  Mostafa Modiri-Delshad,et al.  Backtracking search algorithm for solving economic dispatch problems with valve-point effects and multiple fuel options , 2016 .

[7]  Bijaya Ketan Panigrahi,et al.  Adaptive particle swarm optimization approach for static and dynamic economic load dispatch , 2008 .

[8]  V. Cerný.  Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm , 1985 .

[9]  Fulya Altiparmak,et al.  Multi-objective optimization of a stochastic assembly line balancing: A hybrid simulated annealing algorithm , 2011, Comput. Ind. Eng..

[10]  Rajesh Matai,et al.  Solving multi objective facility layout problem by modified simulated annealing , 2015, Appl. Math. Comput..

[11]  W. Ongsakul,et al.  Economic Dispatch with Multiple Fuel Types by Enhanced Augmented Lagrange Hopfield Network , 2008, 2008 Joint International Conference on Power System Technology and IEEE Power India Conference.

[12]  Jing J. Liang,et al.  A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems , 2018, Swarm Evol. Comput..

[13]  Jianfeng Zha,et al.  Full parameters inversion model for mining subsidence prediction using simulated annealing based on single line of sight D-InSAR , 2018, Environmental Earth Sciences.

[14]  C.-L. Chiang,et al.  Genetic-based algorithm for power economic load dispatch , 2007 .

[15]  B. J. Cory,et al.  A homogeneous linear programming algorithm for the security constrained economic dispatch problem , 2000 .

[16]  Zhicheng Ji,et al.  A novel hybrid particle swarm optimization and gravitational search algorithm for solving economic emission load dispatch problems with various practical constraints , 2014 .

[17]  Xin-She Yang,et al.  Economic dispatch using chaotic bat algorithm , 2016 .

[18]  Vikram Kumar Kamboj,et al.  Solution of non-convex economic load dispatch problem for small-scale power systems using ant lion optimizer , 2016, Neural Computing and Applications.

[19]  S. Aceves,et al.  Optimization of type III pressure vessels using genetic algorithm and simulated annealing , 2017 .

[20]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[21]  Vikram Kumar Kamboj,et al.  Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer , 2015, Neural Computing and Applications.

[22]  P. K. Chattopadhyay,et al.  Evolutionary programming techniques for economic load dispatch , 2003, IEEE Trans. Evol. Comput..