PERFORMANCE COMPARISON OF INTEGER CODED CUCKOO AND LEVY FLIGHTS ALGORITHM APPLIED TO UNIT-COMMITMENT PROBLEM

Optimal use of generated power using the Unit Commitment (UC) has been a of research interest for decades. Even though there were lots of optimization techniques tested on the Unit Commitment problem in the past the research is still on because of the newer optimization techniques. With this motivation new algorithms like the Cuckoo Search Algorithm (CSA) using Levy Flights Algorithm (LFA) is implemented on the Unit Commitment problem and compared with the Shifted Frog Leap Algorithm (SFLA). The parameters under study for performance comparison are the execution time, speed of convergence, search area and total number of iterations. Matlab TM based UC problem simulation is carried on a ten-unit system for a 24-hour load demand with the SFLA and CSA algorithm and the performance comparison is tabulated. The CSA algorithm gives overall improvement in the performance compared to the SFLA method of UC solution .

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