This paper presents the implementation of a variant of the famous particle swarm optimization, known as Accelerated Particle Swarm Optimization (APSO), on a non-cascaded or a two-unit hydro-thermal system with consideration of hydal pumping in light loading intervals of hydro-thermal scheduling period. APSO is an easy to program and easy to implement variant of Particle Swarm Optimization (PSO) that has the ability to converge to a good approximate to global optimum within a few iterations. A standard pumped-storage hydrothermal scheduling problem, discussed in existing literature, is considered for the implementation of APSO. A comparison of this implementation is also given with the previously existing implementations of other algorithms. Index Terms-Accelerated PSO, Hydro-thermal scheduling, Pumped-storage List of symbols and abbreviations APSO Accelerated Particle Swarm Optimization f Cost function n j Number of hours in j th interval F jCost of running the thermal power plant in j th interval
D jWater discharge rate at j th interval
D totTotal discharge rate at the end of all scheduling intervals V j
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