Genetic Algorithm with Improved Lambda-Iteration Technique to Solve the Unit Commitment Problem

摘要

This study presents a two -layer approach to solve the Unit Commitment (UC) problem. The first layer uses a Genetic Algorithm (GA) to decide the on/off status of the units. The second layer uses an Improved Lambda -Iteration (ILI) technique to solve the Economic Dispatch (ED) problem while satisfying all the plant and system constraints. GA`s are general -purpose optimization technique based on principle of natural selection and natural genetics. In order to deal effectively with the constraints involved in the UC problem, a repair and approximate genetic operators were introduced. The proposed method is tested and compared with Lagrangian Relaxation (LR) and GA on the systems with the number of generating units in the range of 10-100. The simulation results reveal that the features of easy implementation, convergence within an acceptable execution time and highly optimal solution in solving UC problem can be achieved.