Author/Authors :
Shayanfar، Heidarali نويسنده Center of Excellence for Power System Automation and Operation, Electrical Engineering Department , , Sarbaz Barazandeh، Ebrahim نويسنده Roodan Branch, Islamic Azad University, Roodan Branch, Roodan, Iran , , Seyed Shenava، Seyed Jalal نويسنده , , Ghasemi، Ali Asghar نويسنده , , Abedinia، Oveis نويسنده Electrical Engineering Department ,
Abstract :
Improved version of Honey Bee Mating
Optimization (IHBMO) algorithm is developed and
applied for Unit Commitment Problem (UCP) in this
paper. Actually, the optimal solution of the nonlinear
scheduling problem is important and it has complex
computational optimization process. This problem is a
challenging undertaking to accommodate variations in the
power system, especially when several thermal units are
employed. IHBMO technique is a hybrid evolutionary
algorithm which combines the power of genetic
algorithms and simulated annealing with a fast problem
specific local search heuristic to obtain the best possible
solution. To demonstrate the effectiveness and robustness
of the proposed algorithm a system with ten thermal units
in various conditions is considered. The simulation
results are compared with those obtained from traditional
unit commitment and heuristic algorithms.
