Solving Optimal Unit Commitment and Congestion Management Problems by Improved Honey Bee Mating Optimization

Improved Honey Bee Mating Optimization (IHBMO) algorithm is developed and applied for Unit Commitment Problem (UCP) through Congestion Management (CM) problem in this paper. Actually, the optimal solution of the nonlinear schedulingproblem is important and it has complex computational optimization process. This problem is a challenging undertaking toaccommodate variations in the power system, especially when several thermal units are employed. IHBMO technique is a hybridevolutionary 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 condition is considered. The simulation results are compared with those obtained from traditional unit commitment and heuristic algorithms

کلیدواژه ها:

IHBMO ، Unit Commitment Problem ، Congestion Management ، Optimization Problem