Abstract
This paper presents for the first-time, application of Moth Flame Optimization and Bat Algorithm (MFO-BA) for optimal scheduling of thermal and hydro-thermal systems in a simulated environment. Results of three test systems (4-unit, 5-unit and 6-unit) comprising seven test cases as different combinations of fixed-head hydro units and thermal units with and without losses are presented to demonstrate the performance of the hybrid MFO-BA algorithm. The test results comprehensively establish the advan- tage and overall effectiveness of the hydro-thermal system over thermal-only system in terms of load dispatch and economy of generation cost and transmission loss. The present study can help find the most economic scheduling of hydro-thermal generating units using hybrid soft computing approach.
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