Enhanced Decomposition Based Evolutionary Algorithm for Solving Unit Commitment problem in Uncertain Environment

摘要

In this paper, a modified decomposition based evolutionary algorithm (DBEA) has been proposed to solve the unit commitment (UC) problem in uncertain environment as a multiobjective optimization problem considering cost, emission, and reliability as the multiple objectives. The uncertainties occurring due to thermal generator outage and load forecast error are incorporated using expected energy not served (EENS) reliability index. Further, a neighborhood based recombination approach has been incorporated to enhance the performance of DBEA. Experimental results are presented on two different test systems to demonstrate the effectiveness of the proposed approach.